The Multi-source National Forest Inventory of Finland – methods and results 2007 Erkki Tomppo, Matti Katila, Kai Mäkisara and Jouni Peräsaari Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm ISBN 978-951-40-2357-6 (PDF) ISSN 1795-150X www.metla.fi Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 2 Working Papers of the Finnish Forest Research Institute publishes preliminary research results and conference proceedings. The papers published in the series are not peer-reviewed. The papers are published in pdf format on the Internet only. http://www.metla.fi/julkaisut/workingpapers/ ISSN 1795-150X Office Post Box 18 FI-01301 Vantaa, Finland tel. +358 10 2111 fax +358 10 211 2101 e-mail julkaisutoimitus@metla.fi Publisher Finnish Forest Research Institute Post Box 18 FI-01301 Vantaa, Finland tel. +358 10 2111 fax +358 10 211 2101 e-mail info@metla.fi http://www.metla.fi/ Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 3 Authors Tomppo, Erkki, Katila, Matti, Mäkisara, Kai & Peräsaari, Jouni Title The Multi-source National Forest Inventory of Finland – methods and results 2007 Year 2012 Pages 233 ISBN ISBN 978-951-40-2357-6 (PDF) ISSN 1795-150X Unit / Research programme / Projects Vantaa Unit, Project number & title: 3547, Forest inventory designs and methods Accepted by Taneli Kolström, Director of Research, 13 March 2012 Abstract This article presents the results of the Finnish multi-source forest inventory based on satellite images, digital map data and field data. The main purpose of the article is to make multi-source forest invento- ry results available for the foresters, and all the readers interested in forests and forest environment. The field data originates from the 10th Finnish National Forest Inventory from years 2005 to 2008 . The ba- sic features of the employed improved k-NN, ik-NN, method are described. The results are presented by forestry centres and within forestry centres by municipalities. The estima- tes are given, for example, for land areas, areas of tree species dominance, age and development classes and often separately for forests available for wood supply. The mean volume and total volume estimates are given in many different ways: mean volumes by tree species and by timber assortments for forest land, poorly productive forest land and their combination and also for forests available for wood supp- ly, as well as by age and development classes. The biomass estimates are given by tree species groups in young thinning stands in which first commercial thinning was proposed for the first 5-year-period, separately for stem and bark and branches and foliage. The biomass estimates of mature forests are pre- sented separately for branches, foliage and stem residuals, and stumps and large roots by tree species groups. All biomass estimates are given separately for land available for wood supply. The presented results can be employed in calculating forest resource estimates also for regions larger than municipali- ties. The error sources for the estimates as well as the reliability of the estimates are briefly discussed in Section 3.2.3 and Chapter 5. Keywords multi-source forest inventory, national forest inventory, satellite images, genetic algorithm, k-nearest neighbours, small-area estimation, stratification, statistical calibration. Available at http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm Replaces Is replaced by Contact information Erkki Tomppo, The Finnish Forest Research Institute, PL 18, FI-01301 VANTAA, FINLAND. E-mail erkki.tomppo@metla.fi Other information A paper in the series of the results of the multi-source national forest inventory Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 4 Contents List of abbreviations .....................................................................................................5 1 Introduction ...............................................................................................................6 2 Materials ....................................................................................................................7 2.1 Field data ......................................................................................................................... 7 2.1.1 The number of the field plots and sampling designs .............................................. 7 2.2 The employed satellite images ....................................................................................... 11 2.3 Digital map data ............................................................................................................. 13 2.3.1 The use of the map data ....................................................................................... 13 2.3.2 The map data ........................................................................................................ 14 2.4 Digital elevation model .................................................................................................. 17 2.5 Large area forest resource data ....................................................................................... 17 3 Methods ...................................................................................................................17 3.1 Image rectification and radiometric correction of the spectral values ........................... 17 3.2 Preparation of input data sets ........................................................................................ 19 3.3 The estimation methods ................................................................................................. 21 3.3.1 Selecting estimation parameters and their values for k-NN ................................. 23 3.3.2 Area and volume estimates for small areas – correction for map errors ............. 25 3.3.3 Assessing the errors .............................................................................................. 26 4 Results .....................................................................................................................27 4.1 Forest resources by municipalities ................................................................................. 27 4.1.1 Available energy wood ......................................................................................... 28 4.2 Digital thematic output maps .......................................................................................... 37 5 Discussion ...............................................................................................................39 Acknowledgements .....................................................................................................40 References ...................................................................................................................41 Appendix ......................................................................................................................44 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 5 List of abbreviations k-NN k-Nearest Neighbour method ik-NN Improved k-NN method NFI National forest inventory MS-NFI Multi-source national forest inventory Landsat Land satellite Landsat TM Thematic Mapper, a high-resolution scanner system on board the Landsat-4 and Landsat-5 satellites IRS LISS-3 Indian Remote Sensing Satellite, Linear imaging self-scanner3 Spot Satellite pour l’Observation de la Terre NLS National Land Survey of Finland TOPO Topographic database DEM Digital elevation model RMSE Root mean square error SE Standard error FRYL Forestry land, in MS-NFI covers forest land, poorly productive forest land and unproductive forest land FPPF Forest and poorly productive forest land PPF Poorly productive forest land Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 6 Introduction1 The First National Forest inventory (NFI) was carried out in Finland from 1921–1924. The tenth rotation began in 2004 and was completed by 2008. Based on the information from sample plots, estimates can be made for a country, or regions within a country, with a minimum size of about 300 000–500 000 hectares, depending on the parameter. The densities of plots are high enough to ensure that the resulting sampling errors are low for core variables, such as areas of land classes and the volume of growing stock. The administrative units in Finnish forestry are the forestry centres, which have forest areas be- tween 800 000 hectares and 5 million hectares. However, the areas of the centres are divided into sub-areas, or forest management units, from which forest resource and forest status information are needed. High utilisation levels of forests and the changing practices of forestry and forest in- dustries in the 1980’s and ‘90’s required more accurate, localised and up-to-date information than previously. The use of field data alone to respond to the increased information needs would have been an expensive alternative. Either a substantially denser field plot grid or some other type of information was required. The development of the Finnish multi-source national forest inventory (MS-NFI) began in 1989, and the first operative results were calculated in 1990 (Tomppo 1990, 1991, 1996, 2006b). The MS-NFI was introduced during the 8th rotation of NFI (1986–1994) in the Pohjois-Savo forestry centre (see Fig. 2.1, Chapter 2). The first results for the entire country were published in 1998 (Tomppo et al. 1998), the second country level results in 2008 (Tomppo et al. 2008b) and third results covering South and Central Finland in 2009 (Tomppo et al. 2009a). For MS-NFI, methods were sought that would provide area and volume estimates, possibly broken down into subclasses, such as tree species, timber assortments, and stand-age classes. Since NFI10, the estimates of potential wood energy biomass from forests have been produced. In the optimal case, the MS-NFI method should be able to provide estimates for small areas as accurate as the field based method provides estimates at national and regional levels. Since the first implementa- tion of this method, it has been modified continuously and new features have been added (Katila et al. 2000, Katila and Tomppo 2001, 2002, Tomppo et al. 2009a). The core of the current Finnish MS-NFI method is presented in Tomppo and Halme (2004) as well as in Tomppo et al. (2008b). A somewhat similar method, which combines field data and satellite images, has been developed and employed or tested in a several other countries like Sweden (Nilsson 1997, Reese et al. 2002, 2003, Hagner and Olsson 2004), USA (Franco-Lopez et al. 2001, McRoberts 2006, McRoberts et al. 2002a, 2002b, 2006), Norway (Gjertsen, 2005), Austria (Koukal et al. 2005), New Zealand (Tomppo et al. 1999), China (Tomppo et al. 2001a), Germany (Diemer et al. 2000) and Italy (Ma- selli et al. 2005). Tomppo et al. (2008b) gives a list of references. The Swedish k-NN product is used for a multitude of purposes, as well as a basis for post-stratification to produce the official Swedish forest statistics, see also Tomppo et al. (2008b). Also, McRoberts et al. (2002a, 2002b) applied k-NN products to post-stratified estimation. Other examples of the development work in USA are the studies by McRoberts (2006) and McRoberts and Tomppo (2007), who presented a model-based approach to derive k-NN error estimates for a group of pixels at an arbitrary size, Finley et al. (2006) and Finley and McRoberts (2008), who presented two methods of increasing the efficiency of the k-NN search. A recent review of and challenges in using remote sensing data in NFIs are presented by McRoberts et al. (2010a and 2010b). An error estimation method based on bootstrapping is presented by McRoberts et al. (2011). Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 7 The progress of the Finnish NFI was changed somewhat for NFI10 (2004–08). Measuring field plots throughout the entire country every year was the biggest change. One-fifth of the clusters are measured annually, except the clusters in the archipelago regions (Åland) between Finland and Sweden, which was measured during one field season in 2007. At the same time, the inven- tory rotation was shortened to 5 years, or nearly half of its previous rotation duration. Inventory progressed by regions from the fifth inventory (1964–1970) until NFI9 (1996–2003) (Tomppo 2009). This change makes it possible to compute the basic forest resource estimates annually for the entire country. The northernmost part was not measured in NFI10 and will be measured next time during NFI11. The estimates from MS-NFI corresponding to NFI9 are thus shown in the re- sult tables for the three northernmost municipalities. This change in inventory progress makes it possible to calculate also the MS-NFI results more fre- quently than during NFI8 and NFI9. In the NFI plans, MS-NFI results were decided to be calcu- lated every second year for the most part of the country, and for North Finland every fourth year. The new approach to progress sets some additional challenges for the MS-NFI, e.g., field meas- urements from several years can and must be employed. In the results presented in this article, NFI10 field data from the years 2005 to 2008 were used. The inventory is called MS-NFI-2007 throughout this article. The main users of the MS-NFI results, municipality level estimates and maps are the forestry au- thorities at forestry centres, forest industries and forest environment researchers. More details of the uses are given in Tomppo et al. (2008a and 2008b). The objective of this article is to present the municipality-level results of the multi-source national forest inventory of Finland based on field data from NFI10 from years 2005 to 2008 . The MS- NFI methods are only briefly described and references for methods are given. Materials2 Field data 2.1 The number of the field plots and sampling designs2.1.1 The field sample plots from NFI10 from years 2005–2008 were used for the results presented in this article, in total 80 392 plots, 67 965 plots on land and 55 927 on forestry land (including forestry roads). The results for the three northernmost municipalities came from MS-NFI corre- sponding to NFI9, see section Introduction. The number of the plots in the area of the three north- ernmost municipalities was 1 565 of which 1 422 on land and 1 413 on forestry land including forestry roads. Some field plots south of these municipalities, falling to the satellite images used, were also used in calculating results for these three municipalities. The Finnish national forest inventory is a sampling based inventory. The sample plots are ar- ranged into clusters. An important aspect is that measuring the plots in a cluster should represent one day’s average field work. The field measurements and assessments of the NFI are carried out on the field sample plots and on those forest stands that include at least a part of a field plot. The field sample plot is also a unit in the field data based estimation (Tomppo 2006a and Tomppo et al. 2011). The sampling design of NFI10 is presented, e.g., in Tomppo (2009). . The field sample plot of NFI has been an angle count plot (Bitterlich) plot since NFI5 and was also in NFI10. A maximum distance was introduced during NFI8 in North Finland in 1991 (Fig. 2.2). The maximum distance detracts very little from the reliability of the estimates but decreases the amount of field work and also reduces possible errors caused by unobserved trees. The basic principles of the NFI10 design are similar to those of NFI9 (Tomppo 2009). In NFI9, satellite image-based digital volume maps and sampling simulations were employed to evaluate different sampling designs. The sampling intensity was fitted to the spatial variation in forests throughout the whole country, being lower in the north than in the south (Henttonen 1991, Tomp- po et al. 2011). The number of the plots per cluster was slightly decreased for NFI10 to reduce the workload. Similar error estimate analyses were done as for NFI9. Tally tree Sample tree A boundary tree - the inclusion checked with measurements - belonging to the sample plot A boundary tree - the inclusion checked with measurements - not belonging to the sample plot A tree belonging to Bittenlich plot, but outside of the sample plot A tree not belonging to angle count plot Fig. 2.2. A sample plot of NFI10. The maximum distance to trees to be counted is 12.52 m in South Finland (q=2) and 12.45 m in North Finland (sampling regions 4–6 in Fig. 2.4)(q=1.5). Every 7th tree is measured as a sample tree, counted by crews and starting in the beginning of field season. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 8 13 12 11 109 8 6 43 1a 0 2 5 71b Forestry centre 0 Åland 1 Rannikko 1a Etelärannikko 1b Pohjanmaa 2 Lounais-Suomi 3 Häme-Uusimaa 4 Kaakkois-Suomi 5 Pirkanmaa 6 Etelä-Savo 7 Etelä-Pohjanmaa 8 Keski-Suomi 9 Pohjois-Savo 10 Pohjois-Karjala 11 Kainuu 12 Pohjois-Pohjanmaa 13 Lapland Fig. 2.1. Forestry centres 1.1.2009. Digital map data: © National Land Survey of Finland MML/ VIR/MYY/328/08. The six sampling density regions, together with field plot clusters, are shown in Fig. 2.3. The NFI10 sampling designs, cluster sizes, and distances between clusters, in the southernmost part of the country, Central Finland, North Central Finland and South Lapland, as well as the plot cluster for North Lapland are shown in Fig. 2.4. The average distances between clusters were 6 km by 6 km in the southernmost Finland (extra cluster lines were added to obtain high enough number of field plots in Åland, Region 1, Fig 2.3.), 7 km by 7 km in Central Finland, 7 km by Fig. 2.3. NFI layout of clusters and the six geographic regions with different sampling densities, NFI10 2005–2008. Digital map data: © National Land Survey of Finland MML/VIR/MYY/328/08. Measurement Year Forestry Centers 2009 NFI10 Areas 2008 2007 2006 2005 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 9 Location of the clusters Sample plots in a cluster T T T T T P P TT T 3 km 3 km 1750 m 3 km 3 km 17 50 m 1750 m 17 50 m 1250 m 12 50 m 1 2 3 4 5 6 7 250 m 25 0 m 8 9 10 11 1412 13 1 2 3 4 5 6 7 250 m 25 0 m TT PT 6 km 1750 m 6 km 17 50 m 1250 m 12 50 m 8 9 10 11 1412 13 Location of the clusters Sample plots in a cluster Location of the clusters Sample plots in a cluster 1 2 3 4 5 6 7300 m 30 0 m TT PT 7 km 1200 m 7 km 15 00 m 8 9 10 11 14 12 13 18 17 16 15 Location of the clusters Sample plots in a cluster 1 2 3 4 5 6 7 300 m 30 0 m TT PT 7 km, 10 km in Lapland 2100 m 7 km , 1 0 km in L ap la nd 21 00 m 8 9 10 11 14 12 13 15 1500 m a) b) c) d) Fig. 2.4. Sampling designs of the NFI10 in different inventory regions: (a) region 1, (b) region 2, (c) region 3, (d) region 4 (in region 5, the design is same but the distances are 10 by 10 km. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 10 7 km elsewhere in North Central Finland, with fewer plots than in Central Finland, and 10 km by 10 km in the municipality of Kuusamo and in South Lapland. The need to shift the locations of the clusters with temporary plots caused some changes com- pared to NFI9 design. The clusters with temporary plots were shifted 1 km west and 1 km north in this rotation (Fig. 2.4). Shortening of the inventory rotation also added pressure to reduce the number of field plots slightly. New sampling simulation studies were carried out in all parts of the country for the forest area, mean volumes by tree species (m3/ha), and total volumes (m3) vari- ables. The number of the field plots per cluster in different regions is shown in Fig. 2.4. The employed satellite images2.2 High-resolution (about 20–30 metres pixel size) multispectral satellite images were used in this operative application. Large coverage and good availability with reasonable price were additional selection criteria. Based on these requirements, the Landsat 5 TM sensor was the most suitable one for this application. High quality Landsat 5 TM images over Finland were available for sum- mer 2007 and these were used for most of the processed area. These images were georectified at Metla. To fill the gaps in the TM coverage, images from the IMAGE2006 (Müller et.al. 2009) collection, constructed for the CORINE 2006 project, were used. The IMAGE2006 consisted of IRS P6 LISS and Spot 4/5 images, mostly from year 2006. These images were orthorectified by Metria in Sweden. The land area analysed was 27.6 million hectares, and the total area together with the lakes and rivers 30.7 million hectares. For processing, this area was covered using 24 images assembled from 52 satellite image frames (Table 2.1, Fig. 2.5). Where possible, adjacent satellite image frames from same path and date were combined to increase the number of field plots within image Table 2.1. List of satellite images used in the MS-NFI10 2005–2008: image index number in Fig. 2.6, satellite sensor, path/row, acquisition dates of image frames and number of image frames in one image. Images 8–24 are from the IMAGE2006 collection. Image No. (Fig. 2.6) Sensor Path/Row Date Nbr. of image frames 1 Landsat 5 TM 18815to18 04062007 4 2 Landsat 5 TM 18616to18 09082007 3 3 Landsat 5 TM 19014to18 02062007 5 4 Landsat 5 TM 19116 09062007 1 5 Landsat 5 TM 19118 09062007 1 6 Landsat 5 TM 19012to13 04072007 2 7 Landsat 5 TM 19111to12 25082006 2 8 IRS P6 30/18-19 20060805 2 9 IRS P6 36/21-22 20060811 2 10 Spot 4/5 70/215-216 20060717 2 11 IRS P6 33/20-21 20060703 2 12 IRS P6 34/19 20050619 1 13 Spot 4/5 77/216-217 20060717 2 14 Spot 4/5 77/217,78/218 20060801cal, 20060808cal 2 15 Spot 4/5 73/217,74/218,73/217 20060802cal, 20060728cal ,20060701 3 16 Spot 4/5 61/211-212 20060727 2 17 Spot 4/5 61/208-210 20060730cal, 20060730, 20060730 3 18 Spot 4/5 58/208 20060809 1 19 IRS P6 28/18-19 20060702 2 20 IRS P6 27/17 20050702 1 21 IRS P6 32/17-19 20050703 3 22 IRS P6 38/21-22 20050709 2 23 Spot 4/5 58/210-211 20060727 2 24 Spot 4/5 73/215 20060731 1 cal= scene is calibrated to another one in order to combine it to others in estimation phase. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 11 and to simplify processing. In three cases, SPOT images from different paths/tilt angles were combined. For MS-NFI-2007, the target year of image acquisition was 2007. Sixteen of the eighteen Land- sat 5 TM image frames were from that year. The complementary IMAGE2006 images were in most cases from 2006. A suitable imaging season for forest inventory purposes in Finland is from mid-May until the end of August, with the optimal time being from early June until the end of July. The imaging season is rather short and cloud cover is frequent even in the summer, which makes image acquisition problematic. Fig. 2.5. The satellite image mosaic used to cover the Finland in MS-NFI-2007. and the boundaries of for- estry centres. Digital map data: © National Land Survey of Finland MML/VIR/MYY/328/08. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 12 Digital map data2.3 The use of the map data 2.3.1 Digital map data are used to reduce the errors in the estimates. The errors in both the area and total volume estimates can be reduced significantly by the multi-source method if the differentiation of forestry land from non-forestry land can be supported by digital map information in addition to satellite images (Tomppo 1996). The map information is used to separate forestry land from other land classes, such as arable land, built-up areas, roads, urban areas and single houses. The effect of possible map errors on small-area estimates is reduced by using one of two alternative statis- tical methods (Katila et al. 2000, Katila and Tomppo 2002, Tomppo et al. 2008b). The first is a calibration method using a confusion matrix derived from the land class distributions on the basis of field plot data and map data, and the second employs stratification of the field plots on the ba- sis of map data (see Subsect. 3.3.2). In addition, the map data are used to stratify the forestry land area and the corresponding field plots into a mineral soil stratum, a peatland soil stratum and open bog and fen stratum. This stratification decreases the prediction and estimation errors due to the fact that mineral soils and different types of organic soils (peatland soils) can have significantly different spectral signatures even when the growing stock is the same (e.g., Katila and Tomppo 2001). Digital map data is also used to delineate the computation units in the MS-NFI. Areas of protected forests were used to calculate estimates for forestry land available for wood supply by municipalities. The spectral response of peatland differs from that of mineral soils with the same growing stock. In addition, some peatland cannot be separated from mineral soils by means of remote sensing. Therefore, digital peatland information derived from the topographic database is used in order to improve the accuracy of MS-NFI estimates (Tomppo 1996, Katila and Tomppo 2001). The site class definition is vegetation-based in the NFI: the forest stand is considered to be peatland (spruce mires, pine mires, open bogs and fens) if the organic layer covering the mineral soil is peat or if 75% of the under storey vegetation is peatland vegetation (Lehto and Leikola 1987). A geological definition of peatland is used for the topographic mapping: peatland is covered mainly by peat vegetation and the thickness of peat layer is over 30 cm. Thus, the peatland mask can not be used in a categorical way, but it is used to stratify the forestry land area and corresponding field plots for subsequent analysis in the estimation phase. Stratification is used to avoid the biases caused by the peatland map that deviates from the peatland definition of the NFI. Almost all map data were obtained in vector format from the Topographic database of National Land Survey of Finland (NLS) (Table 2.2) (Maanmittauslaitoksen maastotietokohteet 2005). A raster map with 20 m by 20 m pixel size was computed from selected topographic database ele- ments. For the purposes of the calibration method (Subsect. 3.3.2), the overlaying of the map ele- ments was done in such a way that it would be possible to form a map stratum as homogeneous as possible with respect to the NFI field plot based land class distribution (Katila et al. 2000). The Table 2.2 Sources and quality of the numerical map data. Map theme(s) Delivered by Scale Date of mapping Area covered Data source Topographic database; landuse classes, peatlands, municipality borders NLS 1:10 000 or 1:20 000 1975-2005 whole country Topographic database Protected forests SYKE 30.6.2008 private forests, 31.12.2007 state forests whole country Nature conservation databases Abbreviations: NLS = National land survey of Finland, SYKE=Finnish Environment Institute. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 13 main objective was to obtain as precise estimate as possible for the combined forest land, poorly productive forest land and unproductive forest land (denoted by forestry land) when compared to the NFI field data based estimate employing the derived digital land use map (Fig. 3.2b). The ac- curacy of an earlier version of derived land use map data was studied against the NFI field based land classes in Tomppo et al. (2008b). The map data2.3.2 2.3.2.1 The elements from topographic database The version of 2007 of the topographic database was used. The positional accuracy of the topo- graphic database is comparable to maps on scale 1:5 000–1:10 000 (Maanmittauslaitoksen maas- totietokohteet 2005). The topographic database consists of map sheets which are updated in 5–10 year periods. However, all roads and buildings in some parts of the country are updated annually, as well as administrative boundaries. Due to this staggered processing, the date of the topographic map elements varies and the oldest elements were from 1970’s in North Finland, although half the maps were from 2000’s (Fig. 2.6). 1975–1997 1998–1999 2000–2002 2003–2004 2005 Mapping year Fig 2.6. The mapping year of the topographic database map sheets (1:20,000). Digital map data: © National Land Survey of Finland, license No. 6/MYY/12. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 14 All the map elements were rasterised to 20 m by 20 m pixel size. The rasterisation was done sepa- rately for each element and suitable widths for line elements (roads, power lines, etc.) and buffer zones for buildings were defined. These widths and buffer zones were determined iteratively by comparing the proportions of the land classes from topographic database and the corresponding NFI10 field plot land classes. The main principle in the rasterisation and generalisation was to keep the total area covered by each map theme as same as in the original data. The visual appear- ance of the non-forestry land classes in the MS-NFI output map was considered to be of second- ary importance. The selected elements of topographic database, possible width in processing and their priority in overlaying of the elements are described in Table 2.3. Table 2.3 The elements of topographic database selected to the land class map, applied line or buffer zone widths in rasterizing. The elements are in the priority of overlay order in the table (uppermost first). Forestry land is the area not covered by elements extracted from the topographic database. MS-NFI Code MS-NFI Map code Description Topographic database code(s) Notes 14 30252 Roads See roads below Overlaid over water 90 30253 Sea water 36211 91 30253 Fresh water 36200, 36313 92 30253 Decomposing reliction area 38300 13 30251 Built-up area 40200 16 30252 Railroad 14111, 14112 Buffer 17 m 14 30252 Roads, class Ia - IIIb 12111, 12112 Buffer 16 m 12121 Buffer 12 m 12122 Buffer 9 m 12131, 12132 Buffer 8 m 22 30254 Agricultural field 32611 19 30250 Quarry, gravel pit 32500, 32111, 32112 20 30248 Peat production area 32113 21 30254 Meadow 32800 12 30252 Airport 32410 – 32418 2 30252 Motor traffic area 32421 3 30250 Graveyard 32200 4 30250 Landfill 32300 5 30250 Garden 32612 6 30250 Park 32900 7 30250 Earth fill 33000 8 30250 Sports/recreational area 33100 11 30250 Built construction 45700 Buffer 5 m 9 30250 Basin 44300 Buffer 5 m 10 30250 Storage area 38900 15 30252 Other road 12141 Buffer 5 m 17 30250 Power line 22311 Buffer 14 m 22312 Buffer 5 m 18 30250 Gas pipe 26111 Buffer 20 m 102 prediction Bare sand 34300 104 prediction Exposed bedrock 34100, 34700 1 30251 Building 42211 Buffer 25 m 42210, 42212 Buffer 30 m 42220 – 42222 Buffer 20 m 42230 – 42232 Buffer 10 m 42240 – 42242 Buffer 30 m 42251, 42270 Buffer 30 m 42260 – 42262 Buffer 5 m 106 prediction Paludified area, <= 0.25 ha 35300 107 prediction Paludified area <= 0.5 ha 35300 105 prediction Paludified area 35300 109 prediction Forested marsh <= 0.25 ha 35412, 35422 110 prediction Forested marsh <= 0.5 ha 35412, 35422 108 prediction Forested marsh 35412, 35422 111 prediction Open bog 35411, 35421 112 prediction Open reliction area 39130 101 prediction Forestry land <= 0.25 ha 102 prediction Forestry land <= 0.5 ha 100 prediction Forestry land Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 15 The topographic database includes subclasses of open bogs, woody peatland (peat depth ≥ 30 cm) and paludified lands (peat depth < 30 cm). It was therefore possible to stratify the peatland in the ik-NN estimation into open bogs and woody peatland (Subsect. 3.4). Paludified peatland corre- spond most often to mineral soils in NFI field plots and were thus kept as mineral soils in MS- NFI-2007. Arable land is the third largest land class after forestry land and inland waters with an area of 2.7 million hectares in NFI9 (Tomppo et al. 2011). The area of the forestry land was 26.3 million hectares and the area of the inland watercourses 3.2 million hectares. Most of the land use changes occur between arable land and other land classes. Urban areas and other built-up areas (e.g., mineral resources extraction areas, peat production ar- eas, landfill areas, cemeteries, airfields, parks, sports and recreation areas) were delineated using elements of the topographic database. The delineation of water was taken from the topographic database. A conservative threshold of water employing near infrared spectral channel values was used to ‘backup’ the cases of possible missing map data or seasonal changes in the water level. An additional constraint to the above masks and water thresholds was used in the ik-NN estimation by using a digital elevation model: for the water pixels, the angle between solar illumination and the normal terrain should be near the angle defined for flat terrain, i.e., should not deviate from that angle more than a given small threshold (Tomppo et al. 1998b). 2.3.2.2 Digital boundaries of the computation units The basic computation unit in the multi-source inventory is the municipality, the number being 348 at the beginning of 2009. Their land areas range from around 1 000 hectares to some hundreds of thousands of hectares. Digital municipality boundaries are used to delineate the units (Tomppo 1996). The boundary information originates from NLS topographic database and was obtained in vector format. The map data and land areas of the municipalities dating 1.1.2009 were employed to calculate the small area estimates (cf. calibration to official land areas, Subsect. 3.3.2). 2.3.2.3 Digital boundaries of protected forests Some estimates for municipalities were calculated for forestry land available for wood supply (Subsect. 4.1, Appendix Tables). Areas of protected forests obtained from the Finnish Environ- ment Institute were used for this purpose. The data was obtained in vector format dating 30.6.2008 for the private forests and 31.12.2007 for the state owned forests, and rasterised to 20 m by 20 m pixel size. The protected areas included strict nature reserves, national parks, wilderness ar- eas, special protected areas, protected old-growth forest areas, protected herb-rich forest areas, mire conservation areas, nature reserves on private land (protected permanently or temporarily), protected areas established by the Finnish Forest and Park Service and natural habitat types pre- served on the basis of Nature Conservation Act. The area of protected forests differs slightly from that employed in Nuutinen and Hirvelä (2006). The difference is caused by the fact that Nuutinen and Hirvelä includes the protected areas under nature conservation programmes as well as areas reserved for constructions. However, most of the areas under the under nature conservation pro- grammes in Nuutinen and Hirvelä (2006) were either realised or rejected by the date when the boundaries were used in this article. The area of forests available for wood supply should thus be near the real one in here. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 16 Digital elevation model2.4 A digital elevation model is used in two ways: for stratification on the basis of elevation data and for correcting the spectral values by reference to the angle between solar illumination angle and the terrain normal (Subsect. 3.4) (Tomppo 1992, Tomppo et al. 2008b). Stratification in this context means using the maximum vertical distance from a pixel to its nearest neighbours. The selection of parameters for stratification and spectral correction has been studied by Katila and Tomppo (2001). The digital elevation model (DEM) employed was a raster file with a horizontal spatial resolution of 25 metres by 25 metres and with a vertical resolution of 0.1 metres (Korkeus- malli 25m 2007). The values used in the 20 by 20 metre grid were obtained by nearest neighbour sampling. Large area forest resource data2.5 The basic k-NN method was employed in NFI8. The improved ik-NN method was introduced during NFI9. The latter employs a coarse scale variation of the key forest variables to guide the selection of field plots from which the data are transferred to the pixel to be analysed. The varia- tion is presented in the form of coarse-scale digital forest variable maps (Fig. 2.7), derived either from the current inventory data or from the data of the preceding inventory. In MS-NFI9, the field data from NFI9 was employed (Tomppo et al. 2008b). The same data and maps were employed in calculating the MS-NFI-2007 results of the present article. There were 81 249 field plots on land across the entire country in the NFI9 of which 67 264 were on forestry land, 62 266 on combined forest and poorly productive forest land (FPPF), and 57 457 were on forest land alone. All the plots on FPPF were used for the final large-area maps. The con- struction of the maps is described in Tomppo et al. (2008b). Methods3 Image rectification and radiometric correction of the spectral values 3.1 The Landsat 5 TM images were rectified to the national uniform coordinate system (YKJ). Point- type objects (e.g., small islands) were identified on both the satellite images and the basic maps and a regression model was fitted to their image coordinates and map coordinates. Second-order polynomial regression models were usually employed for this purpose. A typical number of con- trol points has been around 50. The nearest neighbour method was applied to re-sampling of the images to pixel size of 20 m by 20 m. The absolute values of the residuals in the rectification mod- els at control points typically ranged from 7.5 to 15 metres. The images from IMAGE2006 set were orthocorrected by Metria Sweden. The accuracy of the rectification models was tested using independent control points (Müller et.al. 2009). The mean residuals of the control points in the images used in this work were 8.7 metres in the x-direction and 8.1 metres in the y-direction (11.9 metres combined). No atmospheric correction was performed. Radiometric equalization using a simple linear model was used in the cases where SPOT images from different orbits and/or tilt angles were used. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 17 Fig. 2.7 Large scale variation of mean volumes (m3/ha) of pine (a), spruce (b), birch (c) and other deciduous tree species (d) in NFI9 with boundaries of forestry centres. Digital map data: © National Land Survey of Finland MML/VIR/MYY/328/08. 81-88 71-80 61-70 51-60 41-50 31-40 21-30 11-20 1-10 0 81-105 71-80 61-70 51-60 41-50 31-40 21-30 11-20 1-10 0 31-38 21-30 11-20 1-10 11-19 1-10 0 a) b) c) d) Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 18 Areas corresponding to the cloud-free parts of satellite images are used in operative applications. Forests under clouds and in cloud shadows are assumed to be similar on the average to those on the cloud-free part of the same areal unit (e.g., municipality). The slope and aspect of the terrain locally change the illumination conditions of the surface and affect the reflectance from the ground and vegetation, as well as the radiance received by an im- aging instrument. A digital elevation model was employed to remove the variation of the spectral values caused by the changes in the slope and aspect of the terrain. The details of the method are given in Tomppo (1992) and Tomppo et al. (2008b). The parameter selection has been studied in Katila and Tomppo (2001). Preparation of input data sets 3.2 The key input data file for the MS-NFI is the ground truth data, consisting of field plot data as well as image and map data associated to each plot. The field plot data set in MS-NFI-2007 consisted of 58 490 field plots on land, of which 48 123 field plots with centre point on MS-NFI forestry land (land use classes 1–3). All NFI10 plots were located using GPS. Plots intersecting forestry land and other land classes (e.g., water, fields, built-up land) were rejected. About 2 to 7% of the plots were excluded from the training data on the basis of these restrictions (Katila and Tomppo 2001, Tomppo et al. 2008b). The NFI10 plots on which regeneration cuttings had been made between image acquisition and field measurement dates were removed from the ground truth data. Two methods were employed to remove those plots (Tomppo et al. 2008b). Plots covered by clouds or their shadows were also removed from ground truth data. In the image analysis (Fig. 3.1), the input data sets were 1) ground truth data, i.e., one record for each stand corresponding to a centre point of a plot and also for stands intersecting other parts of Field measurements Raw image data, e.g. Landsat TM Original digital map data, DEM and coarse scale forest variable maps Validation Processed field data with (X,Y,Z -coordinates) Preprocessed image data with (X,Y) Digital map data in raster format with (X,Y,Z) Prepared field data with spectral channel values and map data k-NN estimation - selection of estimation parameters - weighting of features, genetic optimization Data check & models Preprocessing Conversions Statistics for small areas Thematic maps in digital and analog format Statistics and reliability assessments for large areas and groups of municipalities possible re-estimation correction of map errors Fig. 3.1. Data flow and computational scheme for multi- source NFI. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 19 Fig. 3.2. Examples of the Landsat TM satellite image, multichannel colour composition of channels 2, 3, and 4 (a); the elements topographic map database (b); and MS-NFI-2007 thematic map of total volume (m3/ha) with other land use map data (c). Digital map data: © National Land Survey of Finland, licence No. 6/MYY/12. a) b) c) Buildings Other built-up area Main road Minor road Railway Power line, Gaspipe line Quarry, Gravel pit Peat production area Arable land Water Forestry land: mineral soils Forestry land: open sand fields Forestry land: rocky lands Forestry land: mires; peat depth < 30 cm Forestry land: mires; peat depth > 30 cm Forestry land: open bogs and fens 0 - 24 m3/ha 25 - 49 50 - 74 75 - 99 100 - 124 125 - 149 150 - 174 175 - 199 200 - 224 225 - 249 250 - 274 275 - 299 300 - Urban areas, houses Roads Arable land Other built-up areas Waters Map elements: Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 20 a plot, called bi-stand: 1a) field data and 1b) satellite image data, 1c) digital map data, 1d) and other numeric feature data in text format, 2) a pre-processed satellite image, 3) a digital map of land classes and mire and open bog mask, 4) a digital elevation model and thereof derived image of the angle between terrain normal and sun illumination, 5) cloud and cloud shadow delineation mask, 6) large-area forest resource data and 7) a map of computation units to calculate small-area estimates (Fig. 3.2). The land class map was employed to distinguish combined forest land, poorly productive for- est land and unproductive forest land (MS-NFI forestry land) from the other land classes. In this analysis, all the area that was not peat production area, built-up land, arable land, roads or waters in the numerical map was considered forestry land. A threshold was used with satellite images to delineate those waters that were not in the numerical map, e.g., land covered by high water or fish ponds, as described in Subsect. 2.3.2.1. The numerical map data were not always up-to-date and could contain significant errors. The effect of the map errors on the estimates were corrected us- ing two optional methods (Section 3.3.2). The estimation methods 3.3 The non-parametric k-NN estimation has been employed in the MS-NFI calculation since opera- tional inception in 1990. The method has been improved continuously. The details of the current method employed for the results of this article are given in Tomppo and Halme (2004) and Tomp- po et al. (2008b). The basic principles are listed here. With the k-NN method, the plot weights (formula 3.4) (not equal for each plot) are computed for each plot by computation units, e.g., by municipalities (Tomppo 1996). The weights are computed for each field sample plot i ∈ F, where F is the set of field plots belonging to forestry land. These plot weights are sums of the weights which are computed for the field plots over all satellite image pixels on the forestry land mask of the computation unit. The plot weights corresponding to a single pixel (formula 3.2), in turn, are computed by a non-parametric k-NN estimation method (Tomppo 1991, 1996, Tomppo et al. 2008b). The method utilises the distance metric d, defined in the current version in the feature space of the satellite image data and coarse scale forest variables. The k nearest field plot pixels pi, in terms of d, i.e., pixels that cover the centre of a field plot i ∈ F, are sought for each pixel p under the forestry land mask of the cloud free satellite image area. A maximum geographical distance is employed, if necessary, in order to avoid selecting the nearest plots (spectrally similar plots) from a region in which the response of image variables to field variables is not equal to that of the pixel under consideration. This is due to, e.g., changing atmospheric conditions or a large image frame. The feasible set of nearest neighbours for pixel p is thus (3.1) where ),( , yx pp i d is the geographical horizontal distance from pixel p to pixel pi, dz is the distance in the vertical direction, ),(maxyxd and zdmax are their maximum allowed values, and R(p) is the indica- tor function of land class on the basis of map data (Tomppo 1990, 1991, 1996, 2006b, Katila et al. 2000, Katila and Tomppo, 2001, Tomppo et al. 2008b). )}()(,,|{ max, ),( max ),( , pRpRddddp i zz pp yxyx ppi ii bb Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 21 Denote the k nearest feasible field plots by i1(p),...,ik(p). The weight wi,p of field plot i to pixel p is defined as (3.2) The distance weighting power t is a real number, usually t ∈ [0,2]. A small quantity, greater to zero, is added to d when d= 0 and i ∈ {i1(p),...,ik(p)}. The distance metric d employed in MS- NFI-2007 was 2 1 ,, 2 , 2 1 ,, 2 , 2 , )()( ¤¤   g j f jj n l plplgl n l plplflpp ggffd WW (3.3) where fl,p is the lth normalised intensity value of the spectral band image variable, normalising done on the basis of digital elevation model, )(cos/,0, αrplpl jj ff = , with a the angle between sun il- lumination and terrain normal, r the user given power for the cosine correction, gl,p the large area prediction of the lth applied forest variable, nf the number of image variables (or features), ng the number of coarse scale forest variables and ωf and ωg the weight vectors for image features and coarse scale forest variables respectively. The values of the elements of the weight vectors ωf and ωg are computed by means of a genetic algorithm (Tomppo and Halme, 2004 and Tomppo et al. 2008b). A pixel size of 1 km by 1 km is used in the coarse scale forest variable predictions gl,p. The first phase of the improved version of k-NN, ik-NN, is to run the optimization algorithm by strata, e.g., mineral soil stratum and mire and bog stratum. The estimation after that is similar to the basic k-NN estimation. For computing forest parameter estimates for computation units, sums of field plot weights to pix- els, wi,p are calculated by computation units, for example, by municipalities, and by map stratum h over the pixels belonging to the unit u. An example of a stratum is mineral soil forestry land. The weight of plot i in stratum h to computation unit u is denoted .,,, ¤   hup piuhi wc (3.4) Reduced weight sums r uhic ,, are obtained from the formula (3.4), if clouds or their shadows cover a part of the area of the computation unit u. The real weight sum for plot i is obtained expanding the weight (3.4) by the ratio forestry land divided by the forestry land not covered by the clouds in each computation unit. The weights (3.4) are computed within forestry land separately for mineral soil stratum and peat- land strata. The weights are also computed for other land classes, arable land, built-up land, roads and waters using the plots falling in the corresponding stratum if the stratification based map cor- rection method is employed (Katila and Tomppo 2002), and plots falling into forestry land map stratum if the calibration method is used (Katila et al. 2000). otherwise. 0 )}(,),({ ifonly and if ,11 )}(,),({ 1 ,, , 1   ¤  pipij kt pp t pp pi k ji pipii dd w   Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 22 After the final field plot weights to computation units (ci,h,u) have been calculated, the ratio esti- mation is employed to obtain the small-area estimates (e.g., Cochran 1977). In this way, the esti- mation is similar to that using field plot data only (Tomppo 2006a, Tomppo et al. 2008b). Predictions of some forest variables are written in the form of a digital map during the procedure. The land classes outside forestry land are transferred to map form predictions directly from the digital map file. Within forestry land, the variables are predicted by the weighted averages of the k nearest neighbours (Tomppo 1991, 1996) A pixel-level prediction py~ , of variable Y for pixel p is defined as ¤   hIi ipip ywy ,~ , (3.5) where yi is the value of the variable Y on plot i and Ih the set of the field plots belonging to map stratum h. The mode or median value can be used instead of the weighted average for categorical variables. Mode has turned out to work better than median in the practical tests (Tomppo et al. 2009b) The predicted variables are usually land class, site fertility class, stand age, mean diameter of stand, mean height of stand, stand basal area, volumes by tree species (pine, spruce, birch, other broad leaved trees) and by timber assortment classes. The total number of the maps was, therefore, 20 (Table 4.5). Selecting estimation parameters and their values for k-NN3.3.1 The basic principle of k-NN estimation is straightforward. However, practice has shown that the predictions and estimation errors depend to a large extent on the core estimation parameters of the k-NN algorithm. These are: the variables employed in the distance metric, spectral bands or their transformations, pos-1. sible correction for variation in illumination angle of the pixel based on elevation variation (slope, aspect) (Tomppo 1996), the distance metric (Tomppo and Halme 2004),2. the value of 3. k (Katila and Tomppo 2001), the weights to be attached to the nearest neighbours, e.g., even weights or functions of the 4. applied distance and powers (negative), the variables employed in restricting the area from which the nearest neighbours are sought 5. for a pixel, e.g., a geographical reference area (Katila and Tomppo 2001). In MS-NFI10-2007, three large images (no 1, 2 and 3, Fig. 2.5) were splitted to few smaller areas for separate estimation and ground truth data used was limited by 30–40 km buffer around each area (Fig. 3.3). This was found to be more efficient than geographical distance (Eq. 3.1) when comparing and controlling the difference between areal estimates based on MS-NFI and on the field data, the use of additional information, e.g., large area variation of forest variables in the distance 6. metric (Tomppo and Halme 2004), the use of ancillary data in the estimation, e.g., for stratification. 7. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 23 The parameters and their values in MS-NFI-2007 are given in Table 3.1. The parameters are se- lected by images (consisting of one or more image frames, see Table 2.1) and the selection is documented. The criteria are the mean square error and bias of pixel level predictions using leave- one-out cross validation, and particularly, the difference between areal estimates based on i) mul- ti-source inventory and ii) on the field data based estimates and their sampling errors (Tomppo et al. 2008b). The differences of the areal estimates are assessed in terms of sampling error based on Fig. 3.3 Estimation regions used for the three main images, cf. Fig. 2.6, and the boundaries of forestry centres. Digital map data: © National Land Survey of Finland MML/VIR/MYY/328/08. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 24 the field data plots (e.g., Katila and Tomppo 2002, Tomppo and Halme 2004). The values of the parameters usually vary by image depending on, e.g., imaging conditions, number of available field plots and variability of forests. The selections are not independent. A change in one param- eter affects the optimal value of the other parameter. Area and volume estimates for small areas – correction for map errors 3.3.2 In the multi-source estimation, numerical map data (see Sect. 2.3) are employed to decrease esti- mation errors. If the numerical map data would be error free, the computation unit weights (Eq. 3.4) could be calculated using pixels belonging to forestry land (according the map data) only. However, map data can be out-of-date, include location errors and does not correspond exactly to the definitions of NFI land classes. Errors can also arise during the post-processing of map data. Two methods have been developed to reduce the effect of map errors on small-area multi-source forest resource estimates: a statistical calibration method (Katila et al. 2000, Katila 2006a) and a stratified k-NN method (Katila and Tomppo 2002). The calibration method is based on the confusion matrix between land use classes of the field sample plots and corresponding map information. The bias in the land class or other total cover estimates, obtained, e.g., from remote sensing or map data, can be corrected by means of the error probabilities expressed as a confusion matrix (Czaplewski and Catts 1992, Walsh and Burk 1993), assuming that the employed field sample are based on a statistical sampling design (Card 1982). The employed map strata are defined in such a way that each stratum is reasonably homogeneous with respect to the ‘map errors’ and the NFI land class distribution. This enables the use of the synthetic small-area estimation method when correcting map errors (Rao 2003). The method uti- lises the error and land class proportions that have been estimated from a larger region. In the MS- NFI-2007, NFI10 field plots from years 2004–2008 were used to compute the confusion matrix. The method given in Katila et al. (2000) was used to calculate the calibrated field plot weights. The calibration typically increases the mean volume estimates and reduces the FRYL area esti- mates for small areas, if FRYL is overrepresented on maps. Calibration was carried out by groups of municipalities. Despite the rather simple idea of the calibration, it is quite laborious when im- plemented in the MS-NFI. The MS-NFI employs a topographic database for municipality boundaries, while the field inven- tory employs land and water areas from official statistics of the Finnish Land Survey (Suomen pinta-ala kunnittain 2009). The area information from the latter data source is more accurate and Table 3.1. The ik-NN estimation parameters employed in MS-NFI-2007. Parameter Choice Variables applied in the distance metric Illumination corrected spectral values for satellite image bands and large area forest variable estimates Distance metric Weighted Euclidean distance Value of k 5–10 Weights attached to the nearest neighbours Weights proportional to the inverse or inverse squared distance (t=1 or 2) Restrictions for search of nearest neighbours Large area forest variable maps are used to direct the NN selection. In addition, large images (e.g. no 1, 2 and 3, see Fig. 2.7) were splitted to few smaller areas for separate estimation and ground truth applied was limited by 30–40 km buffer around each area. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 25 there are slight differences between the total and land areas of municipalities from these two data sources. Hence, after the correction of map errors, the MS-NFI municipality land areas are cali- brated to the official land areas. The calibration coefficient is straightforward AU,Land NLS /AU,Land and this ratio is assumed to also hold for forestry land and the (calibrated or stratified) weights Ui,c are multiplied by this coefficient. For the calibrated MS-NFI, the calibrated land area AU,Land must be first estimated, see Tomppo et al. (2008b). The calibration to the official land areas is valid only for (random) deviations between the two data sets and not for the case where real and significant boundary changes between municipalities have taken place in either of the two data sources. Assessing the errors3.3.3 Deriving an error estimator for an arbitrary group of pixels has proven to be a challenging task. The problem can be divided into the derivation of i) an error estimator for a pixel level prediction and ii) an error estimator for a parameter for an area of interest. Difficulties arise because: errors depend on the actual value of the variable to be predicted and so pixel-level errors are 1. spatially dependent, the variables measured or observed on the field plots are also spatially dependent,2. the spectral values of adjacent pixels of a satellite image are dependent due to the atmospheric 3. properties (scattering) and imaging technique. Furthermore, several error sources make the error estimation complex. Examples of such error sources are given in Tomppo et al. (2008b). During the data processing phase in the Finnish MS-NFI, the pixel-level root mean square error (RMSE) and the pixel level average bias are calculated using leave-one-out cross-validation using the available field plots. This is also a part of the employed genetic algorithm and the selection of the estimation parameters of k-NN and ik-NN. For a sufficiently large area consisting of a group of pixels, e.g., for areas of 200 000–300 000 ha, the MS-NFI estimates are compared to the esti- mates and error estimates based solely on field data. Some empirical error estimates are also avail- able for reliability assessments (Katila 2006b, Tomppo et al. 2008a and 2008b). Standard error estimates for groups of pixels are calculated as described in Tomppo et al. (2008b). Some recent developments in error estimation, particularly in model-based error estimation are also presented in that publication, see also Kim and Tomppo (2006), McRoberts et al. (2007 and 2011) and Mag- nussen et al. (2009). Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 26 Results4 Forest resources by municipalities4.1 The primary results of MS-NFI are the forest resource estimates for municipalities. With the MS- NFI method, it is possible, at least in theory, to estimate for municipalities all the parameters that are usually estimated for forestry centres using field data only. The estimates are presented in Ap- pendix Tables 1–8 for those parameters whose estimates are considered to be sufficiently precise. These tables cover the same parameters as the ones published for MS-NFI-2005 (Tomppo et al. 2009a). In the result calculation phase, the MS-NFI estimates for the groups of the municipalities and at forestry centre level (regions) were compared to the estimates and error estimates based on field data only in order to analyse possible significant errors, including biases. Note that the mu- nicipality of Kokkola is reported completely within the Etelä-Pohjanmaa forestry centre tables. The estimates can be divided into area and volume estimates. Some tables present only area esti- mates, some only volume estimates and some volume estimates for sub-area categories of forest land or poorly productive forest land, together with area estimates of the sub-area categories. The estimates of forest land, poorly productive forest land and unproductive forest land (three for- estry land categories) are given in Appendix Table 1a for the entire forestry land and in Appendix Table 1b for forestry land available for wood supply. The areas and proportions of forestry land of mineral soils and peatland soils are given in Appendix Tables 2a and 2b separately for three forestry land categories. Similar estimates for forestry land available for wood supply are given in Appendix Tables 2c and 2d. The dominant tree species by municipalities are presented in Appendix Table 3a for forest land and in Appendix Table 3b for poorly productive forest land. The dominant tree species is defined in the NFI for the field assessment as a stand-level variable. In NFI10, it is the tree species with the highest basal area for the development classes from young thinning stand to mature stand, and is defined as the tree species with highest number of stems capable of development in young and advanced seedling stands. The proportion of pine dominated forests of forest land is usually high- est in North Finland, often over 80%, with the highest proportion in the municipalities of Halsua (Central Finland with high proportion of mires) and Inari (Lapland), 89%. It is high also in some areas in South Finland in coastal regions and Central Finland in areas where Sub-xeric heath for- ests are common. The proportion of spruce dominated forests varies in South Finland between 4 and 61% and in North Finland between 4 and 40%, and gets its highest value, 61%, in Hämeen- koski in forestry centre Häme-Uusimaa. The area estimates for age classes on forest land by municipalities is presented in Appendix Ta- ble 4a and for development classes in Appendix Table 5a. The proportion of forest land with a stand age not more than 40 years varies by municipality in South Finland, from 25 to 61%. The proportional area of young forests is high in Eastern and South-Eastern Finland, and also in some municipalities in Central Finland. The range of the same proportion in North Finland is from 3% (in Utsjoki, in Northern Lapland) to 45% (in Hailuoto, in Pohjois-Pohjanmaa). One should note that the same age in South Finland and North Finland corresponds to different development class of stand due to slower growth in the North than in the South. The combined proportion of young forests on forest land available for wood supply, regeneration areas, seedling stands and young thinning stands is lowest in South Finland in some municipalities Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 27 in South-Western costal region varying between 10 and 40%, and the highest value is in Pietarsaari, 68%. Note that a target distribution, mentioned often in practical forestry, is 25% for seedling stands and regeneration areas, 30% for both young and advanced thinning stands, and 15% for mature stands. The proportion of young forests on forest land available for wood supply is much higher in North Finland than in South Finland. The highest proportions vary between 75 and 85% in Lapland (Appendix Table 5c). The mean volume and total volume estimates are given in many different ways: mean volumes by tree species and by timber assortments for combined forest land and poorly productive forest land (FPPF) (6a) likewise with total volumes (6b), see also Fig. 4.1. The similar estimates are given for FPPF available for wood supply in Appendix Tables 6c and 6d. Appendix Tables 7a-d present the similar estimates for forest land as Appendix Tables 6a-d for FPPF. Note that poorly productive forest land (PPF) consists either of rocky soils, fjeld forests or less fertile peatland soils, such as oligo-ombrotrophic or ombrotrophic peatland, e.g., Sphagnum fuscum dominated peatland. Note that the water balance of peatland soil also affects the wood production capacity and land class of peatland. The mean volumes of the growing stock in the municipalities vary significantly by forestry cen- tres and also within forestry centres. The mean volume estimates on FPPF are given also sepa- rately for mineral soils and peatland soils, for the entire FPPF in Appendix Table 2b, and for FPPF available for wood supply in Appendix Table 2d. The mean volume estimates by age classes on forest land are given in Appendix Table 4b and the similar estimates for the forest land available for wood supply in Appendix Table 4d. The cor- responding mean volume estimates by development classes on forest land are given in Appendix Tables 5b and 5d. The mean volume of the growing stock on combined forest land and poorly productive forest land by municipalities varies in South Finland from 82 metres cubed per hectare (m3/ha) (Halsua and Kökar) in the western part of Finland to 169 m3/ha (Sipoo) in South Finland. The mean vol- ume decreases towards north due to the lowering growing conditions, and varies from 15 m3/ha in Utsjoki and 32 m3/ha in Enontekiö (the two northernmost municipalities) to slightly less than 100 m3/ha in southern regions in North Finland (99 m3/ha in Haapajärvi). The mean volume of spruce saw log available for wood supply by municipalities on combined forest land and poorly productive forest land is naturally highest in the region in which spruce volume is highest, that is, in southern part of Central Finland, in regions of Häme-Uusimaa, and the southern region of forestry centres Keski-Suomi and Pohjois-Savo. It is low in coastal regions and in some areas in Etelä-Pohjanmaa. The range in South Finland is from 1 m3/ha in Kökar to near 47 m3/ha in Humppila and Ypäjä in Appendix Table 6c. Available energy wood4.1.1 Biomass estimates were calculated for each field plot and plot part on FPPF in the ground truth data for energy wood estimation. Biomass estimates for tree compartments were predicted for sample trees on FPPF of NFI10 using tree level biomass models (Repola et al. 2007; Repola 2008, 2009) (Table 4.1). Tree level biomass predictions were converted to kilograms per hectare (kg/ha), taking into account angle count sampling (Bitterlich sampling) basal area factor, the maximum Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 28 MS-NFI10-2007 Volume, m3/ha 15–45 45–50 50–65 65–85 85–100 100–120 120–135 135–150 150–175 Fig. 4.1. The mean volume of growing stock on forest and poorly productive forest land by municipalities: all tree species (a), pine (b), spruce (c), birch (d), other deciduous species (e). Digital map data: © National Land Survey of Finland MML/VIR/MYY/328/08. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 29 a) MS-NFI10-2007 Volume of pine, m3/ha 3–30 30–35 35–40 40–45 45–50 50–55 55–60 60–65 65–86 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 30 b) Fig. 4.1. Continued MS-NFI10-2007 Volume of spruce, m3/ha 0–5 5–10 10–15 15–20 20–25 25–40 40–50 50–70 70–100 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 31 c) Fig. 4.1. Continued MS-NFI10-2007 Volume of birch, m3/ha 5–8 8–11 11–14 14–16 16–18 18–20 20–22 22–24 24–37 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 32 d) Fig. 4.1. Continued 0–1 1–2 2–4 4–5 5–6 6–8 8–12 12–18 18–35 MS-NFI10-2007 Volume of other deciduous tree species, m3/ha Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 33 e) Fig. 4.1. Continued radius of the plot and sampling ratio of the sample trees. The biomass estimates by tree species groups in young thinning stands (development class) are presented in Appendix Table 8a with a unit of Gg (109 g). The biomasses of stem and bark, branches and foliage were calculated using those field plots on which first commercial thinning was proposed for the first 5-year-period or on which pre-commercial thinning was proposed and the treatment was already considered to be de- layed in the corresponding stand. The proportion of the field plot biomass capable to be removed (28–43%) was estimated employing the regional thinning regimes of pine, spruce and birch on most common site fertility classes (Mesic forests and Sub-xeric forests) according to the domi- nant tree species of the field plot stand (Hyvän metsänhoidon suositukset 2006) (Table 4.2). Ap- pendix Table 8c presents similar estimates to those in Table 8a for land available for wood supply. The aboveground biomass estimates in young thinning stands, similar to those in Table 8c, were converted to potential energy per area of forest land available for wood supply in the municipality, MWh/ha. These energy estimates are presented by municipalities in Fig. 4.2. 106 g (a tonne) of bi- omass equals five mega-watt hours (MWh) in these calculations. The biomass estimates of mature forests are presented separately for branches, foliage and stem residuals, and stumps and large roots by tree species groups in Appendix Table 8b and for land available for wood supply in Table 8d. In practice, only spruce stumps, branches and stem residuals are harvested from regeneration cutting areas. The biomass estimates for tree compartments of spruce in mature stands (Table 8d) were converted to potential energy, MWh/ha, in a same way as for young thinning stands above and are presented by municipalities in Fig. 4.3. The biomass models employed were different from those used in MS-NFI-2005 (Tomppo et al. 2009a). This caused significant changes in the totals of some biomass estimates of tree compart- ments compared to MS-NFI-2005, and cannot be explained by the random estimation errors from the MS-NFI method. In the Appendix Table 8b, the estimate of stumps and large roots over the whole country increased by 26% from the estimate of MS-NFI-2005. One explanation for the increase in the total estimate is the fact that the minimum diameter for large roots in the present models is 1 cm while for Marklund (1988) used in MS-NFI-2005 it was 5 cm. On the contrary, in Table 8b, the total biomass of branches, foliage and stem residuals for the whole country was 11% smaller than that of MS-NFI-2005. However, in Table 8a, the changes in the totals of biomass esti- Table 4.1. The compartments of tree biomass (Repola et al. 2007; Repola 2008, 2009). Stem Bark Living branches Foliage Dead branches Stump Stem residual (from NFI timber assortment class proportions and stem and bark biomass) Table 4.2. Removal percentages applied for pre-commercial and first commercial thinnings by regions (de- gree days) and dominant tree species of the NFI field plot stands. Site fertility classes: Herb rich heath (HRHF), Mesic (M) and Sub-xeric (SX) forests. Degree days Removal % (site fertility class of the regime) Pine Spruce Deciduous > 1 200 dd 34 (SX) 32 (M) 43 (HRHF,M) 1 000–1 200 dd 32 (SX) 34 (M) 43 (HRHF,M) < 1 000 dd 33 (SX) 31 (M) 28 (HRHF,M peatlands) Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 34 0–5 6–10 11–14 15–16 17–19 20–31 MS-NFI10-2007 The potential energy per area of forest land available for wood supply, MWh/ha, of aboveground biomass in young thinning stands Fig 4.2. The potential energy per area of forest land, MWh/ha, of aboveground biomass in young thinning stands in forests available for wood supply by municipalities. Digital map data: © National Land Survey of Finland MML/VIR/MYY/328/08. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 35 0–5 6–10 11–14 15–17 18–20 21–24 25–27 28–32 33–64 MS-NFI10-2007 The potential energy per area of forest land available for wood supply, MWh/ha, of branches, foliage stem residuals, stumps & big roots of spruce in mature stands Fig 4.3. The potential energy per area of forest land, MWh/ha, of branches, foliage, stem residuals, stumps and large roots of spruce in mature stands in forests available for wood supply by municipalities. Digital map data: © National Land Survey of Finland MML/VIR/MYY/328/08. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 36 mates of tree compartments in young thinning stands were small between MS-NFI-2005 and MS- NFI-2007: 6%, -3% and 2% for the stem including bark, branches and foliage, correspondingly. The MS-NFI-2007, biomass estimates for Appendix Tables 8a and 8b were calculated for the North Finland (Forestry centres 11, 12 and 13) and South Finland employing both the Marklund’s and Repola’s models for tree compartments. The total biomasses based on the two set of mod- els and the relative differences of the biomass estimates corresponding the Appendix Tables 8a and 8b are presented in Tables 4.3 and 4.4, respectively. The changes were similar to those found between MS-NFI-2005 and MS-NFI-2007 for Appendix Tables 8b: In Table 4.4, the Marklund models give significantly smaller biomass estimate for stumps and roots. The different minimum diameter of the roots, as explained above, is probably the major explanation for this change. The relative differences were largest for the broadleaved tree species biomass components. This holds for the biomass estimates by tree species groups in young thinning stands too (Table 4.3). The Marklund models gave much larger biomass estimates particularly for the branches and foliage in Table 4.3. Repola (2009) compared the predictions of his biomass models for pine and spruce against Mark- lund’s (1988) models using NFI9 sample trees. The stem as well as living crown biomass esti- mates were relatively similar for trees with diameter < 30 cm, which is in line with results in Ta- ble 4.3. The stump and root biomass estimates from Marklund’s models were relatively lower for spruce than pine when compared to Repola’s models, This can be seen also in Table 4.4. The energy wood estimates represent energy wood potential rather than the energy wood available in practice. The practical constraints in use and harvesting of energy wood, like minimum removal and other cutting operations were not taken into account. Note also that the biomass estimates for energy wood were based on sample tree data only. For more details of deriving the biomass esti- mates and the reliability of the estimates, see Tomppo et al. (2008b). Digital thematic output maps4.2 Thematic forest maps in raster format were produced for the most important forest variables: land class, main site class, site fertility class, stand age, mean diameter and height of stands, stand basal area, and volumes by tree species and timber assortments, for four tree species or species groups (pine, spruce, two birch species combined, and other broad leaved tree species). Twelve volume maps were produced for volumes of saw timber, pulp wood and total volume. The maps produced are in georeferenced raster layers of 20 m by 20 m resolution (Table 4.5), and cover Finland entirely. The data for the three Northernmost municipalities come from NFI9 (region 6 in Fig. 2.3 ). The non-forestry land use cover was obtained from the digital land use map data and overlaid on the satellite image data during the estimation phase. The ik-NN pixel-level predic- tions were made for the rest of the area. An example of the total volume thematic map is given in Fig. 3.2c. The raster layers can be combined to produce new thematic maps, e.g., dominant tree species and mean volume classes by tree species dominance. More examples of digital thematic maps are given in Tomppo et al. (2008b). The sum and mean values calculated from raster layers deviate, in most cases, from the area and volume estimates in the Appendix Tables due to the corrections for map errors. The forestry land area calculated from the maps is greater, and the mean volume estimates smaller, than those in the Appendix Tables in most cases (cf. Subsect. 3.3.2). Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 37 Ta bl e 4. 3. Th e bi om as s o f t he tr ee c o m pa rtm en ts a va ila bl e fo r e n e rg y w o o d by tr ee s pe cie s in y o u n g th in ni ng s ta nd s o n fo re st la nd in S ou th a n d N or th F in la nd a pp lyi ng M ar k- lu nd ’s a n d R ep ol a’s b io m as s m o de ls. St an ds w ith p ro po se d cu tti ng fo r th e fir st 5 -y e a r pe rio d se le ct ed . T he a ss e ss e d re m ov a l b y st an d ra n ge s fro m 2 8 to 4 3% o f t he g ro w in g st oc k. R el at ive d iff e re n ce s o f b io m as s es tim at es a pp lyi ng th e tw o m o de ls. Bi om as s m od el s Pi ne Sp ru ce Br oa dl ea ve d tre e sp ec ie s Al l t re e sp ec ie s St em in clu di ng ba rk Br a n ch es Fo lia ge St em in clu di ng ba rk Br a n ch es Fo lia ge St em in clu di ng ba rk Br a n ch es Fo lia ge St em in clu di ng ba rk Br a n ch es Fo lia ge 1 00 0 t M ar kl un d So ut h Fi nl an d 22 5 45 5 03 0 1 98 5 10 8 44 4 28 8 2 82 2 18 3 37 4 93 2 2 10 8 51 7 26 14 2 50 6 91 5 N or th F in la nd 13 0 69 3 42 7 1 39 7 2 16 2 1 06 8 71 2 7 36 4 2 33 6 98 2 22 5 94 6 83 2 3 09 1 W ho le c ou nt ry 35 6 14 8 45 7 3 38 3 13 0 05 5 35 6 3 53 4 25 7 01 7 26 8 3 09 0 74 3 20 21 0 82 10 0 06 R ep ol a So ut h Fi nl an d 21 1 81 5 30 0 2 05 1 9 84 2 3 57 0 2 77 0 15 8 84 2 84 1 1 08 3 46 9 07 11 7 11 5 90 4 N or th F in la nd 12 8 07 3 41 4 1 31 1 2 05 5 88 9 64 1 6 55 8 1 38 6 53 2 21 4 19 5 68 9 2 48 4 W ho le c ou nt ry 33 9 87 8 71 4 3 36 2 11 8 97 4 45 9 3 41 1 22 4 42 4 22 7 1 61 5 68 3 26 17 4 00 8 38 8 (% ) 10 0* M ar kl un d/ R ep ol a- 10 0 So ut h Fi nl an d 6% - 5% - 3% 10 % 20 % 2% 15 % 74 % 95 % 10 % 22 % 17 % N or th F in la nd 2% 0% 7% 5% 20 % 11 % 12 % 69 % 85 % 5% 20 % 24 % W ho le c ou nt ry 5% - 3% 1% 9% 20 % 4% 15 % 72 % 91 % 9% 21 % 19 % Ta bl e 4. 4. Th e bi om as s o f t he tr ee c o m pa rtm en ts a va ila bl e fo r e n e rg y w o o d by tr ee s pe cie s in m a tu re s ta nd s o n fo re st la nd in S ou th a n d N or th F in la nd a pp lyi ng M ar kl un d’s a n d Re po la ’s bi om as s m od el s. R el at ive d iff e re n ce s o f b io m as s es tim at es a pp lyi ng th e tw o m o de ls. Bi om as s m od el s Pi ne Sp ru ce Br oa dl ea ve d tre e sp ec ie s Al l t re e sp ec ie s Br a n ch es , fo lia ge a n d st em re sid ua l St um ps a nd bi g ro ot s Br a n ch es , fo lia ge a n d st em re sid ua l St um ps a nd bi g ro ot s Br a n ch es , fo lia ge a n d st em re sid ua l St um ps a nd bi g ro ot s Br a n ch es , fo lia ge a n d st em re sid ua l St um ps a nd bi g ro ot s 1 00 0 t M ar kl un d So ut h Fi nl an d 27 2 08 35 9 54 61 2 07 44 2 67 21 4 97 10 6 59 10 9 91 2 90 8 80 N or th F in la nd 26 1 53 25 0 31 37 2 67 21 3 81 17 3 30 6 26 4 80 7 50 52 6 76 W ho le c ou nt ry 53 3 61 60 9 85 98 4 74 65 6 48 38 8 27 16 9 24 19 0 66 2 14 3 55 6 R ep ol a So ut h Fi nl an d 27 4 44 40 2 79 57 4 07 54 0 21 15 2 00 17 3 15 10 0 05 1 11 1 61 6 N or th F in la nd 20 8 09 28 1 90 30 9 07 26 5 57 13 2 85 10 0 07 65 0 02 64 7 54 W ho le c ou nt ry 48 2 53 68 4 69 88 3 14 80 5 79 28 4 85 27 3 23 16 5 05 2 17 6 37 0 (% ) 10 0* M ar kl un d/ R ep ol a- 10 0 So ut h Fi nl an d - 1% - 11 % 7% - 18 % 41 % - 38 % 10 % - 19 % N or th F in la nd 26 % - 11 % 21 % - 19 % 30 % - 37 % 24 % - 19 % W ho le c ou nt ry 11 % - 11 % 12 % - 19 % 36 % - 38 % 16 % - 19 % Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 38 Discussion5 The development of the Finnish multi-source inventory (MS-NFI) method began in 1989 in the connection of the 8th National Forest Inventory of Finland (NFI8). The method utilises satellite images, field data of the National Forest Inventory (NFI) and digital map data. The methods and results of the first country-level MS-NFI, MS-NFI8, are presented in Tomppo et al. (1998). The revised methods and results, MS-NFI9 methods and results, corresponding to the ninth National Forest Inventory (1996–2003), were published in Tomppo et al. (2008b). The estimates obtained by MS-NFI are part of the official NFI statistics in Finland, some of which are available via the internet (Metinfo 2007). The main purpose of the MS-NFI method is to obtain forest resource information for areas small- er than would be possible using only field data. The developed k-Nearest Neighbour estimation method (k-NN) meets the requirements set to the method and the results. In addition to the small area estimates, the MS-NFI provides predictions of forest variables in map form. The method has been improved continuously and new features have been added since its first im- plementation. Similar development work is being carried out in several other countries. Rapid changes in forests and in forest industries, as well as the approaching change in the Finnish forest income taxation system in 2006, caused a need to update the forest resource estimates dur- ing the 9th inventory to correspond year 2002. The pixel level prediction error is generally rather high in MS-NFI. The several error sources are listed in Tomppo et al. (2008b). For this article, the estimates and pixel level predictions were validated when selecting the estimation parameters Table 4.5. Twenty thematic map layers produced by MS-NFI-2007. Thematic maps, raster format, 20 m by 20 m 20 layers - stand age, a - stand basal area, m2 - total volume, m3/ha - pine volume, m3/ha - pine log volume, m3/ha - pine pulpwood volume, m3/ha - spruce volume, m3/ha - spruce log volume, m3/ha - spruce pulpwood volume, m3/ha - birch volume, m3/ha - birch log volume, m3/ha - birch pulpwood volume, m3/ha - other broadleaved volume, m3/ha - other broadl. log volume, m3/ha - other broadl.pulpwood volume, m3/ha - mean height of stand, dm - mean diameter of stand, cm - land class (3 classes) - main site class (4 classes) - site fertility class (8 classes) Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 39 comparing MS-NFI estimates and error estimates with those based on NFI10 field data using groups of municipalities. The main users of the MS-NFI results, municipality level estimates and maps are the forestry au- thorities at forestry centres, forest industries and forest environment researchers. More details of the uses are given in Tomppo et al. (2008a and 2008b). The most serious potential risk in the application of MS-NFI method is the availability of relevant satellite images. An individual satellite image scene should be large enough to cover high enough number of field plots, preferably several thousands, to get satisfactory ground truth data. On the other hand, the pixel size should not be larger than about 30 metres. In addition to the problems caused by clouds, the number of the natural resource satellites with suitable specifications for for- est applications is not high, particularly when one relevant instrument, Landsat 7 ETM+, suffers from malfunctioning of the scan line corrector. This article is one in the series in which the MS-NFI estimates are calculated every second year for the greater part of the country and every fourth year for northernmost Finland. The future method development work will focus, in addition to the decrease of all kinds of estimation errors, to investigate the possibilities to integrate airborne remote sensing data, e.g., lidar data, as a part of input data of MS-NFI. Acknowledgements The development of multi-source forest inventory was initiated by late professor Pekka Kilkki at the Finnish Forest Research Institute, Metla. The results presented in this article presume the availability of forest inventory field data, amounting about to 50 000 field plots on forestry land in NFI10 from 2005–2008, as well as functioning computing and data management facilities, all provided by Metla. Mr Markus Haakana gave technical advice for the calculation of the munici- pality results. The manuscript has been read and valuable improvements suggested by Director of Research, Professor Taneli Kolström and Dr. Juha Heikkinen. Typesetting was made by Ms. Sari Elomaa. We thank all the individuals whose support has made this article possible. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 40 References Card, D.H. 1982. Using known map category marginal frequencies to improve estimates of thematic map accuracy. Photogrammetric Engineering and Remote Sensing 48: 431-439. Cochran, W.G. 1977. Sampling techniques. Wiley. New York, 428 p. Czaplewski, R.L. & Catts, G.P. 1992. Calibration of remotely sensed proportion or area estimates for misc- lassification error. Remote Sensing of Environment 39: 29-43. Diemer, C., Lucaschewski, I., Spelsberg, G., Tomppo, E. & Pekkarinen, A. 2000. Integration of terrestrial forest sample plot data, map information and satellite data, An operational multisource-inventory con- cept. In: Ranchin T, Wald L (ed.). Proceedings of the Third Conference “Fusion of Earth Data: Merging Point Measurements, Raster Maps and Remotely Sensed Images”. Sophia Antipolis, France, January 26-28, 2000, SEE/URISCA, Nice. p. 143-150. Finley, A.O. & McRoberts, R.E. 2008. Efficient k-nearest neighbor searches for mult-source forest attribute mapping. Remote Sensing of Environment 112: 2203–2211. – , McRoberts, R.E., & Ek, A.R. 2006. Applying an efficient k nearest neighbor search to forest attribute imputation. Forest Science 52: 130−135. Franco-Lopez, H., Ek, A.R., & Bauer, M.E. 2001. Estimation and mapping of forest stand density, volume, and cover type using the k-nearest neighbors method. Remote Sensing of Environment 77: 251-274. Gjertsen, A. 2005. Accuracy of forest mapping based on Landsat TM data and a kNN method. In: H. Ols- son (ed.). Proceedings of ForestSat 2005. Borås, Sweden, 31 May – 3 June 2005. p. 7-11. Available at: http://shop.skogsstyrelsen.se/shop/9098/art92/4646092-23ff72-1740-1.pdf. [Cited 17 Feb 2012]. Hagner, O. & Olsson, H. 2004. Normalisation of Within-Scene Optical Depth Levels in Multispectral Satel- lite Imagery Using National Forest Inventory Plot Data. In: Proceedings from the 24th EARSeL Sym- posium, Workshop on “Remote sensing of land use and land cover”, Dubrovnik, Croatia, May 28-29, 2004. p. 279-284. Available at: http://www.earsel.org/symposia/2004-symposium-Dubrovnik/pdf/335. pdf. [Cited 17 Feb 2012]. Henttonen, H. 1991. VMI8:n Pohjois-Suomen otanta-asetelmien vertailu satelliittikuvatulkinnan avulla. Comparing of sampling designs through simulation. Finnish Forest Research Institute, 10 p. (In Fin- nish). Hyvän metsänhoidon suositukset 2006. Forestry Development Centre Tapio, Helsinki (In Finnish). Müller, R., Krauss, T., Lehner, M., Reinartz, P., Forsgren, J., Rönnbäck, G. & Karlsson, Å. 2009. IMAGE 2006 European Coverage, Methodology and results, DLR report, 55p. Available at: http://earth.esa.int/ pub/ESA_DOC/Image2006-v1_01.pdf [Cited 13 Feb 2012]. Katila, M. 2006a. Correcting map errors in forest inventory estimates for small areas. In: Kangas, A. & Maltamo, M, (ed.). Forest Inventory - Methodology and Applications, Managing Forest Ecosystems Vol. 10. Springer, Dodrecht, The Netherlands p. 225-233. – 2006b. Empirical errors of small area estimates from the multisource National Forest Inventory in Eastern Finland. Silva Fennica 40(4): 729-742. – & Tomppo, E. 2001. Selecting estimation parameters for the Finnish multi-source national forest inven- tory. Remote Sensing of Environment 76: 16-32. – & Tomppo E. 2002. Stratification by ancillary data in multisource forest inventories employing k-nearest neighbour estimation. Canadian Journal of Forest Research 32(9): 1548-1561. – , Heikkinen, J & Tomppo, E 2000. Calibration of small-area estimates for map errors in multisource forest inventory. Canadian Journal of Forest Research 30:1329-1339. Kim, H.-J. & Tomppo, E. 2006. Model-based prediction error uncertainty estimation for k-nn method. Re- mote Sensing of Environment 104: 257-263. Korkeusmalli 25 m 2007. National Land Survey of Finland. Available at: http://www.maanmittauslaitos.fi/ digituotteet/korkeusmalli-25-m. [Cited 17 Feb 2012]. (In Finnish). Koukal, T., Suppan, F. & Schneider, W. 2005. The impact of radiometric calibration on kNN predictions of forest attributes. In: Olsson, H. (ed.). Proceedings of ForestSat 2005. Borås, Sweden, 31 May – 3 June 2005. p. 17-21. Available at: http://shop.skogsstyrelsen.se/shop/9098/art92/4646092-23ff72-1740-1. pdf. [Cited 17 Feb 2012]. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 41 Lehto, J. & Leikola, M. 1987. Käytännön metsätyypit. Kirjayhtymä, Helsinki (In Finnish), 96 p. Maanmittauslaitoksen maastotietokohteet (Feature catalog of the topographic database) 2005. National Land Survey of Finland, Helsinki, Maanmittauslaitoksen julkaisuja 97. Available at: http://www.maan- mittauslaitos.fi/sites/default/files/Nro_97_maanmittauslaitoksen_maastotietokohteet.pdf. [Cited 14 Feb 2012]. (In Finnish). Marklund, L.G. 1988. Biomass functions for pine, spruce and birch in Sweden. Sveriges Lantbruksuniver- sitet, Uppsala, Sweden, Inst. Skogstaxering. Rapp. 45. 73 p. Magnussen, S., McRoberts, R. & Tomppo, E.O. 2009. Model-based mean square error estimators for k- nearest neighbour predictions and applications using remotely sensed data for forest inventories. Remo- te Sensing of Environment 113: 476-488. Maselli, F., Chirici, G., Bottai, L., Corona, P. & Marchetti, M. 2005. Estimation of Mediterranean forest attributes by the application of k-NN procedures to multitemporal Landsat ETM+ images. International Journal of Remote Sensing 26: 3781-3796. McRoberts, R.E. 2006. A model-based approach to estimating forest area. Remote Sensing of Environment 103: 56-66. – & Tomppo, E.O. 2007. Remote sensing support for national forest inventories. Remote Sensing of Envi- ronment 110: 412-419. – , Nelson, M.D. & Wendt, D.G. 2002a. Stratified estimation of forest area using satellite imagery, invento- ry data, and the k-Nearest Neighbors technique. Remote Sensing of Environment 82: 457-468. – , Wendt, D.G., Nelson, M.D. & Hansen, M.H. 2002b. Using a land cover classification based on satellite imagery to improve the precision of forest inventory area estimates. Remote Sensing of Environment 81: 36-44. – , Holden, G.R., Nelson, M.D., Liknes, G.C. & Gormanson, D.D. 2006. Using satellite imagery as ancil- lary data for increasing the precision of estimates for the Forest Inventory and Analysis program of the USDA Forest Service. Canadian Journal of Forest Research 36: 2968-2980. – , Tomppo, E.O., Finley, A.O. & Heikkinen, J. 2007. Estimating areal means and variances of forest attri- butes using the k-Nearest Neighbors technique and satellite imagery. Remote Sensing of Environment 111: 466-480. – , Cohen, W.B., Naesset, E., Stehman, S.V. & Tomppo, E.O. 2010. Using remotely sensed data to construct and assess forest attribute maps and related special products. Scandinavian Journal of Forest Research 25: 340-367. – , Tomppo, E.O. & Naesset, E. 2010. Advances and emerging issues in national forest inventories. Scan- dinavian Journal of Forest Research 25: 368-381. – , Magnussen, S., Tomppo, E.O. & Chirici, G. 2011. Parametric, bootstrap, and jackknife variance estima- tors for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data. Remote Sensing of Environment 115: 3165-3174. Metinfo 2007. Metinfo -forest information services, Finnish Forest Research Institute. Available at: http:// www.metla.fi/metinfo/index-en.htm. [Cited 17 Feb 2012]. Nilsson, M. 1997. Estimation of Forest Variables Using Satellite Image Data and Airborne Lidar. Ph.D. thesis, Swedish University of Agricultural Sciences, The Department of Forest Resorce Management and Geomatics, Acta Universitatis Agriculturae Sueciae. Silvestria 17, 84 p. Nuutinen, T. & Hirvelä, H. 2006. Hakkuumahdollisuudet Suomessa valtakunnan metsien 10. inventoinnin perusteella. Metsätieteen aikakauskirja 1B/2006: 223-237. Rao, J.N.K. 2003. Small Area Estimation. Wiley, New York. 313 p. Reese, H., Nilsson, M., Sandström, P. & Olsson, H. 2002. Applications using estimates of forest parameters derived from satellite and forest inventory data. Computers and Electronics in Agriculture 37:37-56 – , Nilsson M., Granqvist, Pahlén, T., Hagner, O., Joyce, S., Tingelöf, U., Egberth, M. & Olsson, H. (2003) Countrywide estimates of forest variables using satellite data and field data from the National Forest Inventory. Ambio 32: 542-548. Repola, J. 2008. Biomass equations for birch in Finland. Silva Fennica 42(4): 605-624. – 2009. Biomass equations for Scots pine and Norway spruce in Finland. Silva Fennica 43(4): 625-647. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 42 – , Ojansuu, R. & Kukkola, M. 2007. Biomass functions forScots pine, Norway spruce and birch in Finland. Metlan työraportteja/Working Papers of the Finnish Forest Research Institute 53. 28 p. Available at: http://www.metla.fi/julkaisut/workingpapers/2007/mwp053.htm. [Cited 17 Feb 2012]. Suomen pinta-ala kunnittain (The area of Finland by municipalities) 1.1.2009 2009. National Land Survey of Finland, Helsinki. Available at: http://www.maanmittauslaitos.fi/sites/default/files/pinta_alat_kun- nittain_01012009.pdf. [Cited 17 Feb 2012]. (In Finnish). Tomppo, E. 1990. Satellite Image-Based National Forest Inventory of Finland. The Photogrammetric Jour- nal of Finland 12: 115-120. – 1991. Satellite Image-Based National Forest Inventory of Finland. In: Proceedings of the symposium on Global and Environmental Monitoring, Techniques and Impacts, September 17-21, 1990 Victoria, Bri- tish Columbia Canada. International Archives of Photogrammetry and Remote Sensing 28: 419-424. – 1992. Satellite image aided forest site fertility estimation for forest income taxation. Acta Forestalia Fennica 229, 70 p. – 1996. Multi-source National Forest Inventory of Finland. In: Päivinen, R., Vanclay, J. & Miina, S. (ed.). New Thrusts in Forest Inventory. Proceedings of the subject group S4.02-00 ’Forest Resource Inventory and Monitoring’ and subject group S4.12-00 ’Remote Sensing Technology’, vol. 1. IUFRO XX World Congress, 6-12 Aug. 1995, Tampere, Finland. European Forest Institute, Joensuu, Finland. p. 27-41. – 2006a. The Finnish National Forest Inventory. In: Kangas, A. & Maltamo, M. (ed.). Forest inventory. Methodology and applications. Managing Forest Ecosystems Vol 10. Springer, Dordrecht, The Nether- lands. p. 179-194. – 2006b. The Finnish multi-source national forest inventory - small area estimation and map production. In: Kangas A., Maltamo M (ed.). Forest inventory. Methodology and applications, Managing Forest Ecosystems Vol 10. Springer, Dordrecht, The Netherlands p. 195-224. – 2009a. The Finnish National Forest Inventory. In: McRoberts, R.E., Reams, G.A., Van Deusen, P.A. & McWilliams, W.H. (ed.). Proceedings of the Eighth Annual Forest Inventory and Analysis Symposium, Monterey, California, October 16-19, 2006. USDA Forest Service General Technical Report WO-79. p. 39-46. – & Halme, M. 2004. Using coarse scale forest variables as ancillary information and weighting of variables in k-nn estimation: a genetic algorithm approach. Remote Sensing of Environment 92: 1-20. – , Katila, M., Moilanen, J., Mäkelä, H. & Peräsaari, J. 1998b. Kunnittaiset metsävaratiedot 1990-94. Folia Forestalia 4B/1998: 619-839. (In Finnish). – , Goulding, C. & Katila, M. 1999. Adapting Finnish multi-source forest inventory techniques to the New Zealand preharvest inventory. Scandinavian Journal of Forest Research 14: 182-192. – , Korhonen, K.T., Heikkinen, J. & Yli-Kojola, H. 2001a. Multisource inventory of the forests of the Hebei Forestry Bureau, Heilongjiang, China. Silva Fennica 35(3): 309-328. – , Olsson, H., Ståhl, G., Nilsson, M., Hagner, O. & Katila, M. 2008a. Combining National Forest Inven- tory Field Plots and Remote Sensing Data for Forest Databases. Remote Sensing of Environment 112: 1982-1999. – , Haakana, M., Katila, M. & Peräsaari J. 2008b. Multi-Source National Forest Inventory Methods and Applications. Springer. Series: Managing Forest Ecosystems, Vol. 18 2008, XIV. 374 p. – , Haakana, M., Katila, M., Mäkisara, K. & Peräsaari, J. 2009a. The multi-source National Forest Inventory of Finland - methods and results 2005. Metlan työraportteja/Working Papers of the Finnish Forest Rese- arch Institute 111. 277 p. Available at: http://www.metla.fi/julkaisut/workingpapers/2009/mwp111-en. htm. [Cited 17 Feb 2012]. – , Gagliano, C., De Natale, F., Katila, M. & McRoberts, R.E. 2009b. Predicting categorical forest variables using an improved k-Nearest Neighbour esimation and Landsat imagery. Remote Sensing of Environ- ment 113: 500-517. – , Heikkinen, J., Henttonen, H.M., Ihalainen, A., Katila, M., Mäkelä, H., Tuomainen, T. & Vainikainen, N. 2011. Designing and conducting a forest inventory - case: 9th National Forest Inventory of Finland. Springer, Managing Forest Ecosystems 21. 207 p. Walsh, T.A. & Burk, T.E. 1993. Calibration of satellite classifications of land area. Remote Sensing of Environment 46: 281-290. Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 43 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 44 Appendix Table 1a. Area and proportion of land classes on forestry land by forestry centres. ...................................45 Table 1b. Area and proportion of land classes on forest land available for wood supply by forestry centres. ................................................................................................................................................51 Table 2a. Area and proportion of mineral soils and peatlands by land classes and forestry centres. ..........57 Table 2b. Area and mean volume of growing stock on mineral soils and peatlands on forest land and forest and poorly productive forest land by forestry centres. .......................................................67 Table 2c. Area and proportion of forest available for wood supply on mineral soil and peatland by land classes and forestry centres. ........................................................................................................73 Table 2d. Area and mean volume of forest available for wood supply on mineral soil and peatland on forest land and forest and poorly productive forest land by forestry centres. ................................83 Table 3a. Dominant tree species on forest land by forestry centres. ............................................................89 Table 3b. Dominant tree species on poorly productive forest land by forestry centres. ..............................95 Table 4a. Age class distribution on forest land by forestry centres. ..........................................................101 Table 4b. The mean volume of growing stock in age classes on forest land by forestry centres. ..............110 Table 4c. Age class distribution on forest land available for wood supply by forestry centres. ................116 Table 4d. The mean volume of growing stock in age classes on forest land available for wood supply by forestry centres. ................................................................................................................125 Table 5a. Development class distribution on forest land by forestry centres. ............................................131 Table 5b. The mean volume of growing stock in development classes on forest land by forestry centres. ..............................................................................................................................................141 Table 5c. Development class distribution on forest land available for wood supply by forestry centres. .147 Table 5d. The mean volume of growing stock in development classes on forest land by forestry centres. ..............................................................................................................................................156 Table 6a. The mean volume of growing stock by tree species and roundwood assortment on forest and poorly productive forest land by forestry centres.......................................................................162 Table 6b. The growing stock volume by tree species and roundwood assortment on forest land and poorly productive forest land by forestry centres. ............................................................................168 Table 6c. The mean volume of growing stock by tree species and roundwood assortment on forest and poorly productive forest land available for wood supply by forestry centres. ...........................174 Table 6d. The growing stock volume by tree species and roundwood assortment on forest land and poorly productive forest land available for wood supply by forestry centres. ..................................180 Table 7a. The mean volume of growing stock by tree species and roundwood assortment on forest land by forestry centres. ....................................................................................................................186 Table 7b. The growing stock volume by tree species and roundwood assortment on forest land by forestry centres. .................................................................................................................................192 Table 7c. The mean volume of growing stock by tree species and roundwood assortment on forest land available for wood supply by forestry centres. .........................................................................198 Table 7d. The growing stock volume by tree species and roundwood assortment on forest land available for wood supply by forestry centres. .................................................................................204 Table 8a. The biomass of the tree compartments available for energy wood by tree speciesin young thinning stands on forest land by forestry centres. Stands with proposed cutting for the first 5-year period selected. The assessed removal by stand ranges from 28 to 43 % of the growing stock. .................................................................................................................................................210 Table 8b. The biomass of the tree compartments available for energy wood by tree species in mature stands on forest land by forestry centres. ..............................................................................216 Table 8c. The biomass of the tree compartments available for energy wood by tree speciesin young thinning stands on forest land available for wood supply by forestry centres. Stands with proposed cutting for the first 5-year period selected. The assessed removal by stand ranges from 28 to 43 % of the growing stock. .............................................................................................222 Table 8d. The biomass of the tree compartments available for energy wood by tree speciesin mature stands on forest land available for wood supply by forestry centres. ...................................228 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 45 Table 1a. Area and proportion of land classes on forestry land by forestry centres. Forestry centre Forest land Poorly productive forest land Unproductive land Total Municipality ha % ha % ha % ha % Åland 035 Brändö 2 751 28.8 2 085 21.8 4 712 49.4 9 548 100.0 043 Eckerö 5 751 63.1 1 873 20.5 1 497 16.4 9 121 100.0 060 Finström 6 574 71.7 1 634 17.8 961 10.5 9 169 100.0 062 Föglö 6 129 53.3 2 626 22.9 2 737 23.8 11 493 100.0 065 Geta 2 962 42.4 2 247 32.2 1 772 25.4 6 981 100.0 076 Hammarland 7 206 66.1 2 088 19.2 1 609 14.8 10 903 100.0 170 Jomala 7 507 77.1 1 424 14.6 810 8.3 9 741 100.0 295 Kumlinge 2 224 25.7 2 508 29.0 3 928 45.4 8 659 100.0 318 Kökar 304 5.4 780 14.0 4 498 80.6 5 582 100.0 417 Lemland 6 573 70.6 1 477 15.9 1 266 13.6 9 316 100.0 438 Lumparland 1 787 61.5 737 25.4 384 13.2 2 908 100.0 478 Mariehamn-Maarianhamina 398 63.0 130 20.6 104 16.4 632 100.0 736 Saltvik 6 013 50.8 3 511 29.7 2 317 19.6 11 841 100.0 766 Sottunga 603 25.1 534 22.2 1 267 52.7 2 405 100.0 771 Sund 5 069 61.0 2 304 27.7 931 11.2 8 304 100.0 941 Vårdö 3 468 39.3 2 628 29.8 2 720 30.9 8 816 100.0 Total 65 320 52.1 28 586 22.8 31 514 25.1 125 420 100.0 Rannikko/Etelärannikko 049 Espoo-Esbo 15 716 90.4 1 377 7.9 287 1.7 17 380 100.0 078 Hanko-Hangö 6 479 73.0 1 809 20.4 584 6.6 8 872 100.0 091 Helsinki-Helsingfors 7 244 83.2 1 067 12.3 395 4.5 8 706 100.0 092 Vantaa-Vanda 10 027 92.4 542 5.0 279 2.6 10 848 100.0 149 Ingå-Inkoo 18 870 84.8 2 770 12.4 618 2.8 22 257 100.0 235 Kauniainen-Grankulla 200 85.6 30 12.9 3 1.5 234 100.0 257 Kirkkonummi-Kyrkslätt 20 064 85.0 2 784 11.8 746 3.2 23 594 100.0 322 Kemiönsaari 34 775 70.2 11 277 22.8 3 477 7.0 49 530 100.0 407 Lapinjärvi-Lappträsk 18 260 97.4 435 2.3 54 0.3 18 748 100.0 424 Liljendal 5 985 97.0 165 2.7 18 0.3 6 168 100.0 434 Loviisa-Lovisa 2 798 94.5 143 4.8 21 0.7 2 961 100.0 444 Länsi-Turunmaa 44 886 68.0 15 366 23.3 5 757 8.7 66 010 100.0 585 Pernå-Pernaja 26 993 94.8 1 209 4.3 271 1.0 28 473 100.0 638 Porvoo-Borgå 37 369 93.7 2 066 5.2 467 1.2 39 901 100.0 701 Ruotsinpyhtää-Strömfors 18 110 95.1 596 3.1 329 1.7 19 035 100.0 710 Raasepori 68 837 84.4 10 344 12.7 2 343 2.9 81 523 100.0 753 Sipoo-Sibbo 18 588 93.3 1 076 5.4 253 1.3 19 917 100.0 755 Siuntio-Sjundeå 12 525 90.7 1 024 7.4 256 1.9 13 804 100.0 Total 367 725 84.0 54 080 12.4 16 158 3.7 437 962 100.0 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 687 94.7 15 2.1 23 3.2 726 100.0 280 Korsnäs 17 796 93.6 467 2.5 759 4.0 19 023 100.0 287 Kristinestad-Kristiinankaupunki 49 903 93.4 1 781 3.3 1 777 3.3 53 461 100.0 288 Kronoby-Kruunupyy 49 896 90.4 2 837 5.1 2 480 4.5 55 213 100.0 440 Larsmo-Luoto 10 730 91.4 515 4.4 501 4.3 11 746 100.0 475 Malax-Maalahti 35 224 89.7 1 549 3.9 2 496 6.4 39 270 100.0 499 Korsholm-Mustasaari 57 791 94.4 1 559 2.6 1 878 3.1 61 229 100.0 545 Närpes-Närpiö 65 153 92.1 2 627 3.7 2 959 4.2 70 739 100.0 559 Oravais-Oravainen 13 088 91.0 726 5.1 575 4.0 14 389 100.0 598 Jakobstad-Pietarsaari 5 760 92.0 305 4.9 195 3.1 6 259 100.0 599 Pedersöre-Pedersören kunta 55 192 92.2 3 012 5.0 1 671 2.8 59 875 100.0 893 Nykarleby-Uusikaarlepyy 48 605 90.7 2 882 5.4 2 087 3.9 53 575 100.0 905 Vaasa-Vasa 11 892 95.1 246 2.0 365 2.9 12 504 100.0 945 Vörå-Maxmo Vöyri-Maksamaa 39 007 93.0 1 603 3.8 1 349 3.2 41 959 100.0 Total 460 725 92.2 20 124 4.0 19 117 3.8 499 966 100.0 Lounais-Suomi 019 Aura 3 805 91.9 247 6.0 91 2.2 4 142 100.0 050 Eura 34 758 92.9 1 531 4.1 1 123 3.0 37 412 100.0 051 Eurajoki 22 188 92.8 883 3.7 846 3.5 23 917 100.0 079 Harjavalta 7 321 92.5 188 2.4 409 5.2 7 917 100.0 099 Honkajoki 21 090 86.9 1 365 5.6 1 810 7.5 24 265 100.0 102 Huittinen 26 995 92.0 852 2.9 1 484 5.1 29 331 100.0 181 Jämijärvi 13 294 94.3 483 3.4 319 2.3 14 096 100.0 202 Kaarina 6 599 89.2 659 8.9 138 1.9 7 395 100.0 214 Kankaanpää 47 594 90.7 2 277 4.3 2 601 5.0 52 472 100.0 230 Karvia 31 750 84.6 2 371 6.3 3 409 9.1 37 529 100.0 254 Kiikoinen 9 185 94.8 327 3.4 177 1.8 9 689 100.0 271 Kokemäki 29 772 94.2 748 2.4 1 077 3.4 31 597 100.0 284 Koski T.l. 7 716 92.7 380 4.6 227 2.7 8 323 100.0 304 Kustavi 8 297 64.8 3 309 25.8 1 204 9.4 12 811 100.0 319 Köyliö 14 420 90.0 990 6.2 609 3.8 16 019 100.0 400 Laitila 31 502 86.7 2 710 7.5 2 134 5.9 36 346 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 46 Table 1a. Continued Forestry centre Forest land Poorly productive forest land Unproductive land Total Municipality ha % ha % ha % ha % 413 Lavia 22 923 93.1 1 086 4.4 621 2.5 24 630 100.0 423 Lieto 8 425 90.6 731 7.9 144 1.6 9 300 100.0 430 Loimaa 32 284 91.2 1 572 4.4 1 530 4.3 35 387 100.0 442 Luvia 12 178 96.7 128 1.0 293 2.3 12 599 100.0 480 Marttila 8 596 86.9 720 7.3 575 5.8 9 890 100.0 481 Masku 9 230 85.7 1 108 10.3 439 4.1 10 777 100.0 484 Merikarvia 33 877 92.0 734 2.0 2 233 6.1 36 845 100.0 503 Mynämäki 29 156 86.1 2 740 8.1 1 973 5.8 33 869 100.0 529 Naantali 13 755 72.0 4 417 23.1 929 4.9 19 100 100.0 531 Nakkila 9 339 95.3 220 2.2 246 2.5 9 805 100.0 537 Noormarkku 24 370 94.7 570 2.2 784 3.1 25 724 100.0 538 Nousiainen 9 991 85.6 1 111 9.5 577 4.9 11 680 100.0 561 Oripää 4 995 85.9 471 8.1 349 6.0 5 815 100.0 577 Paimio 11 516 89.2 1 183 9.2 211 1.6 12 910 100.0 608 Pomarkku 22 541 92.7 607 2.5 1 173 4.8 24 321 100.0 609 Pori 30 943 95.5 316 1.0 1 159 3.6 32 418 100.0 631 Pyhäranta 9 612 89.6 819 7.6 301 2.8 10 731 100.0 636 Pöytyä 40 383 86.0 3 748 8.0 2 814 6.0 46 945 100.0 680 Raisio 1 931 86.6 240 10.8 59 2.7 2 230 100.0 684 Rauma 30 706 87.9 3 272 9.4 946 2.7 34 924 100.0 704 Rusko 6 124 87.8 489 7.0 366 5.2 6 978 100.0 734 Salo 104 569 89.1 10 235 8.7 2 525 2.2 117 328 100.0 738 Sauvo 12 141 86.1 1 722 12.2 231 1.6 14 094 100.0 747 Siikainen 35 105 89.5 1 149 2.9 2 961 7.6 39 216 100.0 761 Somero 32 978 95.8 710 2.1 754 2.2 34 442 100.0 783 Säkylä 9 804 92.7 636 6.0 137 1.3 10 577 100.0 833 Taivassalo 6 549 76.9 1 610 18.9 359 4.2 8 518 100.0 838 Tarvasjoki 4 129 92.4 271 6.1 67 1.5 4 467 100.0 853 Turku-Åbo 10 129 87.7 1 033 8.9 391 3.4 11 553 100.0 886 Ulvila 27 702 94.7 842 2.9 705 2.4 29 249 100.0 895 Uusikaupunki 28 812 83.1 4 461 12.9 1 395 4.0 34 668 100.0 918 Vehmaa 9 650 87.0 1 165 10.5 274 2.5 11 090 100.0 Total 970 730 89.4 69 433 6.4 45 179 4.2 1 085 343 100.0 Häme-Uusimaa 015 Artjärvi 8 883 97.6 172 1.9 46 0.5 9 101 100.0 016 Asikkala 40 452 98.1 559 1.4 218 0.5 41 230 100.0 018 Askola 11 061 97.6 224 2.0 54 0.5 11 338 100.0 061 Forssa 13 310 95.1 278 2.0 414 3.0 14 002 100.0 081 Hartola 44 099 98.6 434 1.0 195 0.4 44 729 100.0 082 Hattula 23 521 96.2 561 2.3 377 1.5 24 458 100.0 086 Hausjärvi 18 972 96.1 474 2.4 305 1.5 19 750 100.0 098 Hollola 28 666 97.9 255 0.9 349 1.2 29 270 100.0 103 Humppila 7 106 95.5 125 1.7 207 2.8 7 438 100.0 106 Hyvinkää 19 807 95.8 440 2.1 422 2.0 20 669 100.0 109 Hämeenlinna 128 958 97.7 1 578 1.2 1 454 1.1 131 989 100.0 111 Heinola 56 124 98.3 607 1.1 370 0.7 57 101 100.0 165 Janakkala 33 343 96.6 607 1.8 575 1.7 34 526 100.0 169 Jokioinen 7 849 96.7 54 0.7 215 2.6 8 117 100.0 186 Järvenpää 1 401 95.9 39 2.7 21 1.4 1 460 100.0 223 Karjalohja 7 188 92.7 398 5.1 170 2.2 7 756 100.0 224 Karkkila 16 011 97.2 364 2.2 96 0.6 16 470 100.0 245 Kerava 1 220 94.1 57 4.4 20 1.5 1 297 100.0 283 Hämeenkoski 11 575 98.7 70 0.6 85 0.7 11 729 100.0 316 Kärkölä 13 826 96.4 294 2.1 227 1.6 14 347 100.0 398 Lahti 6 901 97.0 151 2.1 67 0.9 7 119 100.0 433 Loppi 42 593 96.6 960 2.2 557 1.3 44 110 100.0 444 Lohja 19 199 94.4 876 4.3 264 1.3 20 338 100.0 504 Myrskylä-Mörskom 11 588 97.4 258 2.2 57 0.5 11 903 100.0 505 Mäntsälä 34 477 97.5 447 1.3 436 1.2 35 360 100.0 532 Nastola 21 232 96.8 483 2.2 225 1.0 21 940 100.0 540 Nummi-Pusula 28 309 95.2 1 125 3.8 305 1.0 29 740 100.0 543 Nurmijärvi 16 909 95.9 569 3.2 157 0.9 17 636 100.0 560 Orimattila 34 050 98.0 432 1.2 276 0.8 34 759 100.0 576 Padasjoki 42 247 98.4 491 1.1 194 0.5 42 933 100.0 611 Pornainen 7 832 96.4 229 2.8 62 0.8 8 124 100.0 616 Pukkila 6 859 98.1 95 1.4 39 0.6 6 993 100.0 694 Riihimäki 6 798 98.1 83 1.2 52 0.8 6 933 100.0 781 Sysmä 52 384 99.1 339 0.6 142 0.3 52 865 100.0 834 Tammela 43 581 91.9 966 2.0 2 866 6.1 47 413 100.0 858 Tuusula 10 096 96.6 278 2.7 77 0.7 10 451 100.0 927 Vihti 30 108 95.2 1 207 3.8 310 1.0 31 625 100.0 981 Ypäjä 7 757 96.2 82 1.0 222 2.8 8 061 100.0 Total 916 294 97.0 16 660 1.8 12 127 1.3 945 082 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 47 Table 1a. Continued Forestry centre Forest land Poorly productive forest land Unproductive land Total Municipality ha % ha % ha % ha % Kaakkois-Suomi 075 Hamina 43 924 95.2 1 092 2.4 1 136 2.5 46 152 100.0 142 Iitti 39 687 98.1 491 1.2 280 0.7 40 459 100.0 153 Imatra 9 838 98.4 70 0.7 88 0.9 9 996 100.0 285 Kotka 18 088 95.4 409 2.2 469 2.5 18 966 100.0 286 Kouvola 175 604 97.3 2 499 1.4 2 324 1.3 180 427 100.0 405 Lappeenranta 72 720 96.8 1 202 1.6 1 235 1.6 75 157 100.0 416 Lemi 16 235 97.2 201 1.2 270 1.6 16 706 100.0 441 Luumäki 58 953 96.4 1 196 2.0 1 031 1.7 61 180 100.0 489 Miehikkälä 31 585 95.3 828 2.5 727 2.2 33 140 100.0 580 Parikkala 43 098 98.4 302 0.7 385 0.9 43 784 100.0 624 Pyhtää-Pyttis 18 785 91.3 839 4.1 948 4.6 20 572 100.0 689 Rautjärvi 28 411 98.8 138 0.5 200 0.7 28 748 100.0 700 Ruokolahti 79 827 97.7 1 004 1.2 918 1.1 81 749 100.0 739 Savitaipale 43 550 97.5 603 1.4 515 1.2 44 668 100.0 775 Suomenniemi 24 157 97.9 317 1.3 205 0.8 24 679 100.0 831 Taipalsaari 27 740 97.4 401 1.4 345 1.2 28 486 100.0 935 Virolahti 25 842 93.2 1 056 3.8 822 3.0 27 719 100.0 978 Ylämaa 30 444 96.5 522 1.7 593 1.9 31 559 100.0 Total 788 488 96.9 13 169 1.6 12 490 1.5 814 147 100.0 Pirkanmaa 020 Akaa 5 148 96.4 40 0.8 153 2.9 5 341 100.0 108 Hämeenkyrö 31 781 97.1 621 1.9 345 1.1 32 746 100.0 143 Ikaalinen 57 105 95.9 1 746 2.9 717 1.2 59 568 100.0 177 Juupajoki 20 484 97.3 385 1.8 182 0.9 21 052 100.0 211 Kangasala 32 859 97.8 344 1.0 388 1.2 33 591 100.0 250 Kihniö 27 555 93.6 968 3.3 917 3.1 29 441 100.0 289 Kuhmalahti 12 483 98.0 188 1.5 72 0.6 12 742 100.0 310 Kylmäkoski 10 752 96.8 170 1.5 185 1.7 11 107 100.0 418 Lempäälä 17 328 97.8 159 0.9 231 1.3 17 718 100.0 508 Mänttä-Vilppula 43 690 97.9 659 1.5 272 0.6 44 621 100.0 536 Nokia 19 018 97.5 213 1.1 281 1.4 19 512 100.0 562 Orivesi 62 988 97.7 907 1.4 552 0.9 64 447 100.0 581 Parkano 65 755 91.4 3 122 4.3 3 065 4.3 71 942 100.0 604 Pirkkala 5 044 98.0 39 0.8 66 1.3 5 149 100.0 619 Punkalaidun 18 229 93.5 473 2.4 791 4.1 19 493 100.0 635 Pälkäne 40 721 98.3 364 0.9 327 0.8 41 413 100.0 702 Ruovesi 63 188 96.5 1 167 1.8 1 108 1.7 65 462 100.0 790 Sastamala 87 225 96.4 2 072 2.3 1 148 1.3 90 446 100.0 837 Tampere 38 046 97.5 514 1.3 455 1.2 39 014 100.0 887 Urjala 28 738 94.8 612 2.0 976 3.2 30 326 100.0 908 Valkeakoski 16 012 97.1 155 0.9 321 1.9 16 488 100.0 922 Vesilahti 19 916 97.1 202 1.0 394 1.9 20 511 100.0 936 Virrat 92 635 94.1 2 277 2.3 3 499 3.6 98 412 100.0 980 Ylöjärvi 89 951 95.8 2 238 2.4 1 738 1.9 93 927 100.0 Total 906 650 96.0 19 634 2.1 18 184 1.9 944 469 100.0 Etelä-Savo 046 Enonkoski 26 189 98.4 204 0.8 220 0.8 26 613 100.0 090 Heinävesi 91 121 98.7 519 0.6 702 0.8 92 342 100.0 097 Hirvensalmi 38 400 97.7 528 1.3 370 0.9 39 298 100.0 171 Joroinen 45 815 97.4 539 1.2 695 1.5 47 048 100.0 178 Juva 94 049 96.9 1 655 1.7 1 328 1.4 97 032 100.0 213 Kangasniemi 90 285 98.4 796 0.9 701 0.8 91 781 100.0 246 Kerimäki 45 571 97.2 688 1.5 621 1.3 46 880 100.0 491 Mikkeli 134 770 96.5 2 539 1.8 2 402 1.7 139 712 100.0 507 Mäntyharju 81 776 97.7 1 100 1.3 818 1.0 83 695 100.0 588 Pertunmaa 30 632 98.3 291 0.9 241 0.8 31 164 100.0 593 Pieksämäki 134 769 97.7 1 742 1.3 1 457 1.1 137 969 100.0 618 Punkaharju 39 439 98.1 336 0.8 430 1.1 40 205 100.0 623 Puumala 69 326 97.7 909 1.3 705 1.0 70 939 100.0 681 Rantasalmi 44 365 97.6 417 0.9 683 1.5 45 465 100.0 696 Ristiina 46 345 98.1 452 1.0 435 0.9 47 232 100.0 740 Savonlinna 104 356 98.2 934 0.9 941 0.9 106 231 100.0 768 Sulkava 49 893 98.0 550 1.1 448 0.9 50 891 100.0 Total 1 167 100 97.7 14 200 1.2 13 198 1.1 1 194 497 100.0 Etelä-Pohjanmaa 005 Alajärvi 74 811 91.4 4 142 5.1 2 866 3.5 81 819 100.0 010 Alavus 54 200 90.8 2 934 4.9 2 537 4.3 59 671 100.0 052 Evijärvi 23 491 84.4 2 303 8.3 2 038 7.3 27 832 100.0 074 Halsua 26 717 77.5 3 777 11.0 3 992 11.6 34 487 100.0 095 Himanka 18 439 90.8 1 237 6.1 641 3.2 20 317 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 48 Table 1a. Continued Forestry centre Forest land Poorly productive forest land Unproductive land Total Municipality ha % ha % ha % ha % 145 Ilmajoki 33 676 94.9 1 078 3.0 746 2.1 35 500 100.0 151 Isojoki 45 792 84.7 2 814 5.2 5 460 10.1 54 066 100.0 152 Isokyrö 19 043 89.7 1 268 6.0 911 4.3 21 222 100.0 164 Jalasjärvi 49 881 89.9 2 543 4.6 3 059 5.5 55 483 100.0 217 Kannus 32 295 87.6 2 796 7.6 1 795 4.9 36 885 100.0 218 Karijoki 12 245 92.0 622 4.7 445 3.3 13 312 100.0 232 Kauhajoki 81 633 84.0 6 072 6.3 9 442 9.7 97 148 100.0 233 Kauhava 75 225 88.0 6 489 7.6 3 748 4.4 85 462 100.0 236 Kaustinen 23 219 83.6 2 233 8.0 2 314 8.3 27 765 100.0 272 Kokkola-Karleby 96 559 84.9 8 016 7.1 9 191 8.1 113 766 100.0 300 Kuortane 33 191 93.1 1 421 4.0 1 037 2.9 35 648 100.0 301 Kurikka 59 252 92.2 2 784 4.3 2 241 3.5 64 277 100.0 399 Laihia 32 693 89.0 1 623 4.4 2 427 6.6 36 742 100.0 403 Lappajärvi 28 315 87.3 2 564 7.9 1 553 4.8 32 432 100.0 408 Lapua 41 739 87.6 3 420 7.2 2 506 5.3 47 665 100.0 421 Lestijärvi 34 161 77.6 3 640 8.3 6 242 14.2 44 043 100.0 584 Perho 50 233 76.1 6 431 9.7 9 330 14.1 65 993 100.0 743 Seinäjoki 87 260 88.6 5 045 5.1 6 215 6.3 98 520 100.0 759 Soini 42 468 89.5 2 457 5.2 2 553 5.4 47 478 100.0 846 Teuva 36 173 89.3 2 281 5.6 2 049 5.1 40 503 100.0 849 Toholampi 37 648 77.8 3 870 8.0 6 884 14.2 48 402 100.0 863 Töysä 22 360 94.7 860 3.6 383 1.6 23 604 100.0 924 Veteli 31 477 79.0 3 327 8.4 5 018 12.6 39 823 100.0 934 Vimpeli 18 075 85.2 1 687 8.0 1 448 6.8 21 210 100.0 942 Vähäkyrö 8 959 97.2 138 1.5 120 1.3 9 217 100.0 989 Ähtäri 66 242 94.4 2 390 3.4 1 577 2.3 70 210 100.0 Total 1 297 471 87.1 92 263 6.2 100 769 6.8 1 490 503 100.0 Keski-Suomi 077 Hankasalmi 44 490 98.9 247 0.6 247 0.6 44 983 100.0 172 Joutsa 71 862 98.2 610 0.8 689 0.9 73 161 100.0 179 Jyväskylä 93 665 99.1 498 0.5 373 0.4 94 535 100.0 182 Jämsä 129 577 99.0 723 0.6 596 0.5 130 896 100.0 216 Kannonkoski 38 970 97.5 645 1.6 342 0.9 39 957 100.0 226 Karstula 70 640 92.2 2 926 3.8 3 091 4.0 76 657 100.0 249 Keuruu 106 398 96.3 2 676 2.4 1 460 1.3 110 534 100.0 256 Kinnula 37 225 91.2 2 170 5.3 1 443 3.5 40 838 100.0 265 Kivijärvi 41 425 93.3 1 399 3.2 1 555 3.5 44 379 100.0 275 Konnevesi 44 169 98.7 221 0.5 359 0.8 44 750 100.0 291 Kuhmoinen 56 665 99.1 344 0.6 145 0.3 57 155 100.0 312 Kyyjärvi 34 059 87.3 2 266 5.8 2 710 6.9 39 036 100.0 410 Laukaa 48 597 99.0 240 0.5 274 0.6 49 111 100.0 435 Luhanka 17 872 98.9 109 0.6 83 0.5 18 064 100.0 495 Multia 63 633 94.9 2 011 3.0 1 380 2.1 67 024 100.0 500 Muurame 11 392 99.4 42 0.4 33 0.3 11 467 100.0 592 Petäjävesi 37 815 98.6 317 0.8 221 0.6 38 353 100.0 601 Pihtipudas 88 650 94.0 2 504 2.7 3 145 3.3 94 300 100.0 729 Saarijärvi 103 395 96.5 2 146 2.0 1 631 1.5 107 172 100.0 850 Toivakka 30 113 98.5 270 0.9 184 0.6 30 568 100.0 892 Uurainen 28 449 97.7 406 1.4 252 0.9 29 107 100.0 931 Viitasaari 107 880 97.9 1 363 1.2 963 0.9 110 206 100.0 992 Äänekoski 75 369 98.9 515 0.7 354 0.5 76 238 100.0 Total 1 382 311 96.8 24 647 1.7 21 532 1.5 1 428 490 100.0 Pohjois-Savo 140 Iisalmi 55 491 98.6 429 0.8 337 0.6 56 256 100.0 174 Juankoski 35 737 98.2 310 0.9 336 0.9 36 383 100.0 204 Kaavi 58 406 97.5 782 1.3 689 1.2 59 877 100.0 227 Karttula 41 351 98.4 395 0.9 291 0.7 42 038 100.0 239 Keitele 41 044 97.4 741 1.8 341 0.8 42 126 100.0 263 Kiuruvesi 98 123 94.7 3 597 3.5 1 911 1.8 103 631 100.0 297 Kuopio 88 851 99.1 230 0.3 559 0.6 89 640 100.0 402 Lapinlahti 45 776 98.3 469 1.0 323 0.7 46 568 100.0 420 Leppävirta 94 134 98.9 377 0.4 702 0.7 95 213 100.0 476 Maaninka 34 041 98.2 264 0.8 370 1.1 34 676 100.0 534 Nilsiä 55 736 98.0 581 1.0 580 1.0 56 897 100.0 595 Pielavesi 93 554 97.1 1 612 1.7 1 235 1.3 96 401 100.0 686 Rautalampi 45 005 98.6 368 0.8 284 0.6 45 657 100.0 687 Rautavaara 94 826 90.4 4 989 4.8 5 047 4.8 104 862 100.0 749 Siilinjärvi 27 117 98.7 148 0.5 199 0.7 27 464 100.0 762 Sonkajärvi 117 579 92.0 5 394 4.2 4 787 3.8 127 760 100.0 778 Suonenjoki 60 821 98.3 589 1.0 464 0.8 61 874 100.0 844 Tervo 29 705 98.4 228 0.8 252 0.8 30 185 100.0 857 Tuusniemi 44 904 98.8 228 0.5 300 0.7 45 431 100.0 915 Varkaus 31 437 98.5 110 0.3 380 1.2 31 927 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 49 Table 1a. Continued Forestry centre Forest land Poorly productive forest land Unproductive land Total Municipality ha % ha % ha % ha % 916 Varpaisjärvi 38 178 97.1 614 1.6 547 1.4 39 339 100.0 921 Vesanto 35 426 98.6 343 1.0 159 0.4 35 927 100.0 925 Vieremä 71 600 94.4 2 257 3.0 1 994 2.6 75 851 100.0 Total 1 338 842 96.6 25 055 1.8 22 085 1.6 1 385 982 100.0 Pohjois-Karjala 146 Ilomantsi 219 498 84.9 14 891 5.8 24 034 9.3 258 423 100.0 167 Joensuu 198 162 96.3 3 161 1.5 4 510 2.2 205 833 100.0 176 Juuka 127 124 94.8 3 134 2.3 3 843 2.9 134 101 100.0 248 Kesälahti 31 942 97.0 340 1.0 660 2.0 32 942 100.0 260 Kitee 68 178 97.1 689 1.0 1 357 1.9 70 224 100.0 276 Kontiolahti 66 944 96.8 979 1.4 1 250 1.8 69 173 100.0 309 Outokumpu 35 685 97.4 440 1.2 513 1.4 36 639 100.0 422 Lieksa 291 727 92.2 12 078 3.8 12 702 4.0 316 507 100.0 426 Liperi 53 107 98.1 410 0.8 639 1.2 54 156 100.0 541 Nurmes 139 016 95.3 3 837 2.6 2 995 2.1 145 848 100.0 607 Polvijärvi 62 231 94.8 1 131 1.7 2 311 3.5 65 673 100.0 707 Rääkkylä 33 014 96.3 353 1.0 907 2.7 34 274 100.0 848 Tohmajärvi 65 295 96.0 1 322 1.9 1 388 2.0 68 005 100.0 911 Valtimo 68 585 96.4 1 531 2.2 1 019 1.4 71 135 100.0 Total 1 460 508 93.5 44 297 2.8 58 128 3.7 1 562 934 100.0 Kainuu 105 Hyrynsalmi 114 855 84.3 13 216 9.7 8 255 6.1 136 326 100.0 205 Kajaani 146 338 87.3 12 160 7.3 9 121 5.4 167 619 100.0 290 Kuhmo 390 254 85.3 34 020 7.4 33 002 7.2 457 276 100.0 578 Paltamo 78 113 92.3 4 017 4.7 2 534 3.0 84 664 100.0 620 Puolanka 194 016 81.6 25 392 10.7 18 358 7.7 237 766 100.0 697 Ristijärvi 69 772 88.6 5 412 6.9 3 550 4.5 78 734 100.0 765 Sotkamo 226 479 92.2 11 186 4.6 8 056 3.3 245 721 100.0 777 Suomussalmi 399 816 78.6 63 477 12.5 45 239 8.9 508 532 100.0 785 Vaala 88 186 76.5 12 941 11.2 14 186 12.3 115 314 100.0 Total 1 707 829 84.1 181 821 9.0 142 301 7.0 2 031 951 100.0 Pohjois-Pohjanmaa 009 Alavieska 15 952 88.4 1 263 7.0 831 4.6 18 046 100.0 069 Haapajärvi 58 436 92.8 2 427 3.9 2 128 3.4 62 991 100.0 071 Haapavesi 76 392 88.1 6 014 6.9 4 354 5.0 86 759 100.0 072 Hailuoto 13 803 86.5 1 254 7.9 896 5.6 15 953 100.0 084 Haukipudas 30 568 81.6 3 339 8.9 3 547 9.5 37 454 100.0 139 Ii 103 651 74.8 15 293 11.0 19 567 14.1 138 511 100.0 208 Kalajoki 45 787 88.0 4 559 8.8 1 688 3.2 52 034 100.0 244 Kempele 5 919 84.9 521 7.5 535 7.7 6 975 100.0 255 Kiiminki 22 964 80.5 2 766 9.7 2 787 9.8 28 517 100.0 305 Kuusamo 351 620 74.1 73 587 15.5 49 587 10.4 474 794 100.0 317 Kärsämäki 52 247 89.8 4 059 7.0 1 870 3.2 58 176 100.0 425 Liminka 37 759 73.3 5 872 11.4 7 882 15.3 51 513 100.0 436 Lumijoki 12 778 86.7 1 094 7.4 870 5.9 14 742 100.0 483 Merijärvi 17 107 91.3 1 182 6.3 446 2.4 18 735 100.0 494 Muhos 49 011 73.9 7 387 11.1 9 890 14.9 66 288 100.0 535 Nivala 30 532 94.1 1 120 3.5 808 2.5 32 461 100.0 563 Oulainen 43 871 90.2 3 207 6.6 1 549 3.2 48 628 100.0 564 Oulu 91 274 75.5 12 697 10.5 16 874 14.0 120 846 100.0 567 Oulunsalo 5 005 90.0 271 4.9 286 5.1 5 562 100.0 615 Pudasjärvi 366 966 68.0 69 174 12.8 103 826 19.2 539 967 100.0 625 Pyhäjoki 41 233 89.0 3 628 7.8 1 470 3.2 46 330 100.0 626 Pyhäsalmi 106 076 91.1 5 532 4.8 4 787 4.1 116 395 100.0 630 Pyhäntä 58 709 79.2 6 971 9.4 8 481 11.4 74 161 100.0 678 Raahe 39 046 88.7 2 983 6.8 2 012 4.6 44 042 100.0 691 Reisjärvi 34 523 90.0 2 526 6.6 1 308 3.4 38 357 100.0 746 Sievi 54 170 82.4 6 745 10.3 4 806 7.3 65 720 100.0 748 Siikajoki 69 515 83.3 7 246 8.7 6 743 8.1 83 505 100.0 791 Siikalatva 154 963 82.4 16 091 8.6 16 939 9.0 187 994 100.0 832 Taivalkoski 177 739 75.6 30 486 13.0 26 938 11.5 235 163 100.0 859 Tyrnävä 28 227 78.4 4 179 11.6 3 593 10.0 35 999 100.0 889 Utajärvi 106 970 70.0 17 955 11.8 27 824 18.2 152 749 100.0 926 Vihanti 34 780 85.8 3 462 8.5 2 317 5.7 40 559 100.0 972 Yli-Ii 50 293 74.5 7 633 11.3 9 608 14.2 67 533 100.0 977 Ylivieska 40 635 90.9 2 555 5.7 1 530 3.4 44 720 100.0 Total 2 428 520 78.0 335 081 10.8 348 579 11.2 3 112 179 100.0 Lapland 047 Enontekiö 93 112 11.9 172 657 22.0 517 760 66.1 783 529 100.0 148 Inari 713 708 47.7 410 915 27.4 372 797 24.9 1 497 420 100.0 240 Kemi 6 291 91.0 400 5.8 224 3.2 6 915 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 50 Table 1a. Continued Forestry centre Forest land Poorly productive forest land Unproductive land Total Municipality ha % ha % ha % ha % 241 Keminmaa 42 573 77.3 5 298 9.6 7 189 13.1 55 060 100.0 261 Kittilä 470 298 58.9 178 428 22.3 150 196 18.8 798 922 100.0 273 Kolari 172 831 70.0 48 792 19.8 25 435 10.3 247 059 100.0 320 Kemijärvi 248 921 73.3 50 832 15.0 40 014 11.8 339 767 100.0 498 Muonio 126 987 68.5 33 349 18.0 25 164 13.6 185 500 100.0 583 Pelkosenniemi 116 966 65.3 29 530 16.5 32 669 18.2 179 165 100.0 614 Posio 202 749 69.1 46 240 15.8 44 237 15.1 293 227 100.0 683 Ranua 211 014 63.7 55 653 16.8 64 567 19.5 331 234 100.0 698 Rovaniemi 541 848 74.0 117 134 16.0 72 892 10.0 731 873 100.0 732 Salla 361 821 64.3 109 401 19.5 91 371 16.2 562 593 100.0 742 Savukoski 436 058 68.9 104 533 16.5 92 503 14.6 633 094 100.0 751 Simo 85 498 64.7 19 307 14.6 27 343 20.7 132 148 100.0 758 Sodankylä 669 770 58.2 196 921 17.1 283 917 24.7 1 150 608 100.0 845 Tervola 107 448 76.1 19 694 14.0 14 045 10.0 141 187 100.0 851 Tornio 78 981 79.1 11 499 11.5 9 415 9.4 99 895 100.0 854 Pello 135 537 81.3 22 021 13.2 9 265 5.6 166 822 100.0 890 Utsjoki 6 299 1.2 105 327 20.6 400 433 78.2 512 060 100.0 976 Ylitornio 141 425 73.5 32 632 17.0 18 489 9.6 192 545 100.0 Total 4 970 135 55.0 1 770 563 19.6 2 299 924 25.4 9 040 621 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 51 Table 1b. Area and proportion of land classes on forest land available for wood supply by forestry centres. Forestry centre Forest land Poorly productive forest land Unproductive land Total Municipality ha % ha % ha % ha % Åland 035 Brändö 2 750 28.9 2 084 21.9 4 679 49.2 9 513 100.0 043 Eckerö 5 744 63.1 1 871 20.5 1 494 16.4 9 108 100.0 060 Finström 6 547 71.6 1 633 17.9 960 10.5 9 140 100.0 062 Föglö 6 032 53.7 2 580 23.0 2 616 23.3 11 228 100.0 065 Geta 2 951 42.4 2 246 32.2 1 771 25.4 6 968 100.0 076 Hammarland 7 183 66.2 2 069 19.1 1 595 14.7 10 847 100.0 170 Jomala 7 495 77.1 1 423 14.6 807 8.3 9 725 100.0 295 Kumlinge 2 224 25.7 2 508 29.0 3 928 45.4 8 659 100.0 318 Kökar 296 5.4 761 13.9 4 401 80.6 5 458 100.0 417 Lemland 6 479 70.8 1 448 15.8 1 223 13.4 9 149 100.0 438 Lumparland 1 773 61.3 735 25.4 383 13.3 2 891 100.0 478 Mariehamn-Maarianhamina 393 62.8 130 20.8 103 16.4 625 100.0 736 Saltvik 5 891 51.3 3 373 29.4 2 217 19.3 11 481 100.0 766 Sottunga 603 25.1 534 22.2 1 267 52.7 2 405 100.0 771 Sund 5 016 61.1 2 271 27.7 923 11.3 8 210 100.0 941 Vårdö 3 462 39.4 2 621 29.8 2 712 30.8 8 795 100.0 Total 64 838 52.2 28 287 22.8 31 079 25.0 124 204 100.0 Rannikko/Etelärannikko 049 Espoo-Esbo 14 376 90.6 1 230 7.8 269 1.7 15 875 100.0 078 Hanko-Hangö 5 860 75.3 1 526 19.6 396 5.1 7 783 100.0 091 Helsinki-Helsingfors 7 010 83.1 1 043 12.4 382 4.5 8 435 100.0 092 Vantaa-Vanda 9 538 92.4 516 5.0 272 2.6 10 326 100.0 149 Ingå-Inkoo 18 225 85.0 2 682 12.5 524 2.4 21 431 100.0 235 Kauniainen-Grankulla 184 86.2 26 12.3 3 1.6 213 100.0 257 Kirkkonummi-Kyrkslätt 18 089 86.4 2 330 11.1 520 2.5 20 939 100.0 322 Kemiönsaari 33 191 71.0 10 511 22.5 3 070 6.6 46 771 100.0 407 Lapinjärvi-Lappträsk 18 226 97.4 434 2.3 54 0.3 18 714 100.0 424 Liljendal 5 978 97.0 165 2.7 18 0.3 6 161 100.0 434 Loviisa-Lovisa 2 785 94.5 142 4.8 20 0.7 2 946 100.0 444 Länsi-Turunmaa 41 568 69.7 13 606 22.8 4 481 7.5 59 655 100.0 585 Pernå-Pernaja 26 266 95.0 1 142 4.1 229 0.8 27 637 100.0 638 Porvoo-Borgå 36 605 93.9 2 007 5.2 365 0.9 38 977 100.0 701 Ruotsinpyhtää-Strömfors 18 077 95.2 595 3.1 326 1.7 18 999 100.0 710 Raasepori 62 942 84.7 9 599 12.9 1 817 2.4 74 357 100.0 753 Sipoo-Sibbo 18 261 93.6 1 048 5.4 205 1.1 19 514 100.0 755 Siuntio-Sjundeå 12 107 91.2 983 7.4 189 1.4 13 279 100.0 Total 349 287 84.8 49 585 12.0 13 140 3.2 412 012 100.0 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 687 94.7 15 2.1 23 3.2 726 100.0 280 Korsnäs 16 596 96.1 315 1.8 354 2.1 17 265 100.0 287 Kristinestad-Kristiinankaupunki 49 660 93.7 1 752 3.3 1 612 3.0 53 024 100.0 288 Kronoby-Kruunupyy 49 790 90.7 2 793 5.1 2 315 4.2 54 899 100.0 440 Larsmo-Luoto 9 670 92.4 459 4.4 340 3.3 10 470 100.0 475 Malax-Maalahti 33 965 91.7 1 360 3.7 1 707 4.6 37 032 100.0 499 Korsholm-Mustasaari 53 294 94.8 1 338 2.4 1 597 2.8 56 228 100.0 545 Närpes-Närpiö 64 334 93.3 2 449 3.6 2 150 3.1 68 933 100.0 559 Oravais-Oravainen 13 021 92.1 675 4.8 448 3.2 14 144 100.0 598 Jakobstad-Pietarsaari 5 590 92.1 297 4.9 181 3.0 6 067 100.0 599 Pedersöre-Pedersören kunta 54 984 92.4 2 955 5.0 1 555 2.6 59 494 100.0 893 Nykarleby-Uusikaarlepyy 47 933 91.6 2 746 5.3 1 678 3.2 52 357 100.0 905 Vaasa-Vasa 11 008 95.2 217 1.9 341 3.0 11 566 100.0 945 Vörå-Maxmo Vöyri-Maksamaa 37 121 93.2 1 514 3.8 1 205 3.0 39 840 100.0 Total 447 654 92.9 18 886 3.9 15 507 3.2 482 047 100.0 Lounais-Suomi 019 Aura 3 805 91.9 247 6.0 91 2.2 4 142 100.0 050 Eura 34 515 93.1 1 521 4.1 1 023 2.8 37 058 100.0 051 Eurajoki 21 819 94.2 843 3.6 508 2.2 23 170 100.0 079 Harjavalta 7 268 93.7 182 2.3 305 3.9 7 755 100.0 099 Honkajoki 20 460 90.4 1 101 4.9 1 069 4.7 22 630 100.0 102 Huittinen 25 847 94.8 774 2.8 636 2.3 27 256 100.0 181 Jämijärvi 11 592 94.6 348 2.8 316 2.6 12 256 100.0 202 Kaarina 6 471 89.3 646 8.9 133 1.8 7 251 100.0 214 Kankaanpää 44 440 91.5 2 037 4.2 2 112 4.4 48 589 100.0 230 Karvia 30 020 89.4 1 871 5.6 1 676 5.0 33 567 100.0 254 Kiikoinen 9 163 94.8 327 3.4 177 1.8 9 667 100.0 271 Kokemäki 28 945 96.6 669 2.2 349 1.2 29 963 100.0 284 Koski T.l. 7 704 93.1 373 4.5 198 2.4 8 274 100.0 304 Kustavi 8 037 65.7 3 153 25.8 1 049 8.6 12 240 100.0 319 Köyliö 12 727 90.0 899 6.4 514 3.6 14 140 100.0 400 Laitila 29 183 88.0 2 476 7.5 1 513 4.6 33 172 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 52 Table 1b. Continued Forestry centre Forest land Poorly productive forest land Unproductive land Total Municipality ha % ha % ha % ha % 413 Lavia 22 612 93.2 1 073 4.4 568 2.3 24 253 100.0 423 Lieto 7 643 90.4 682 8.1 129 1.5 8 453 100.0 430 Loimaa 31 925 93.8 1 346 4.0 752 2.2 34 023 100.0 442 Luvia 11 786 96.8 122 1.0 271 2.2 12 179 100.0 480 Marttila 8 498 88.5 687 7.2 418 4.4 9 603 100.0 481 Masku 8 469 87.0 1 042 10.7 225 2.3 9 736 100.0 484 Merikarvia 33 337 92.9 682 1.9 1 875 5.2 35 893 100.0 503 Mynämäki 27 537 88.6 2 483 8.0 1 049 3.4 31 069 100.0 529 Naantali 13 411 72.5 4 212 22.8 876 4.7 18 499 100.0 531 Nakkila 9 308 95.2 219 2.2 246 2.5 9 773 100.0 537 Noormarkku 23 830 95.4 524 2.1 614 2.5 24 968 100.0 538 Nousiainen 9 531 88.3 1 017 9.4 252 2.3 10 800 100.0 561 Oripää 4 979 86.9 469 8.2 280 4.9 5 728 100.0 577 Paimio 10 302 89.2 1 090 9.4 155 1.3 11 547 100.0 608 Pomarkku 22 146 94.4 508 2.2 798 3.4 23 452 100.0 609 Pori 25 120 95.7 264 1.0 866 3.3 26 250 100.0 631 Pyhäranta 9 529 89.8 815 7.7 267 2.5 10 610 100.0 636 Pöytyä 38 358 89.0 3 335 7.7 1 420 3.3 43 113 100.0 680 Raisio 1 897 86.9 232 10.6 54 2.5 2 183 100.0 684 Rauma 30 110 88.1 3 228 9.4 856 2.5 34 194 100.0 704 Rusko 5 855 91.7 433 6.8 96 1.5 6 384 100.0 734 Salo 98 732 89.6 9 662 8.8 1 798 1.6 110 192 100.0 738 Sauvo 12 009 86.2 1 713 12.3 206 1.5 13 928 100.0 747 Siikainen 34 558 92.1 1 047 2.8 1 933 5.2 37 538 100.0 761 Somero 32 215 97.0 615 1.9 398 1.2 33 229 100.0 783 Säkylä 8 260 92.8 507 5.7 134 1.5 8 901 100.0 833 Taivassalo 6 471 76.9 1 596 19.0 343 4.1 8 410 100.0 838 Tarvasjoki 3 854 92.5 253 6.1 60 1.4 4 166 100.0 853 Turku-Åbo 9 086 88.2 931 9.0 281 2.7 10 298 100.0 886 Ulvila 27 409 95.5 767 2.7 533 1.9 28 710 100.0 895 Uusikaupunki 28 120 83.9 4 241 12.7 1 149 3.4 33 510 100.0 918 Vehmaa 9 632 87.0 1 164 10.5 273 2.5 11 069 100.0 Total 928 525 90.7 64 427 6.3 30 841 3.0 1 023 793 100.0 Häme-Uusimaa 015 Artjärvi 8 882 97.6 172 1.9 46 0.5 9 100 100.0 016 Asikkala 39 952 98.2 554 1.4 190 0.5 40 696 100.0 018 Askola 11 061 97.6 224 2.0 54 0.5 11 338 100.0 061 Forssa 13 281 95.3 277 2.0 374 2.7 13 932 100.0 081 Hartola 43 536 98.7 422 1.0 131 0.3 44 089 100.0 082 Hattula 23 136 96.7 503 2.1 278 1.2 23 917 100.0 086 Hausjärvi 18 754 97.6 262 1.4 210 1.1 19 226 100.0 098 Hollola 28 472 98.3 244 0.8 258 0.9 28 973 100.0 103 Humppila 7 105 95.5 125 1.7 207 2.8 7 437 100.0 106 Hyvinkää 19 328 97.1 338 1.7 248 1.3 19 915 100.0 109 Hämeenlinna 122 951 98.1 1 296 1.0 1 141 0.9 125 388 100.0 111 Heinola 54 887 98.3 593 1.1 362 0.7 55 842 100.0 165 Janakkala 33 172 97.2 512 1.5 441 1.3 34 126 100.0 169 Jokioinen 7 798 97.3 46 0.6 167 2.1 8 011 100.0 186 Järvenpää 1 339 95.8 39 2.8 21 1.5 1 399 100.0 223 Karjalohja 6 968 92.7 394 5.2 154 2.1 7 516 100.0 224 Karkkila 15 736 97.3 352 2.2 88 0.5 16 175 100.0 245 Kerava 1 220 94.1 57 4.4 20 1.5 1 297 100.0 283 Hämeenkoski 11 561 98.7 69 0.6 84 0.7 11 714 100.0 316 Kärkölä 13 676 97.0 207 1.5 219 1.6 14 102 100.0 398 Lahti 6 681 98.1 78 1.2 48 0.7 6 808 100.0 433 Loppi 41 506 97.2 868 2.0 313 0.7 42 687 100.0 444 Lohja 18 873 94.4 859 4.3 257 1.3 19 989 100.0 504 Myrskylä-Mörskom 11 579 97.4 255 2.1 55 0.5 11 888 100.0 505 Mäntsälä 34 049 97.9 376 1.1 365 1.1 34 790 100.0 532 Nastola 21 175 96.8 482 2.2 223 1.0 21 880 100.0 540 Nummi-Pusula 28 208 95.3 1 111 3.8 277 0.9 29 596 100.0 543 Nurmijärvi 16 725 96.0 546 3.1 145 0.8 17 415 100.0 560 Orimattila 33 975 98.3 376 1.1 214 0.6 34 564 100.0 576 Padasjoki 39 604 98.5 454 1.1 167 0.4 40 225 100.0 611 Pornainen 7 763 97.0 209 2.6 34 0.4 8 006 100.0 616 Pukkila 6 783 98.2 90 1.3 37 0.5 6 910 100.0 694 Riihimäki 6 797 98.1 83 1.2 52 0.8 6 932 100.0 781 Sysmä 51 996 99.1 335 0.6 132 0.3 52 464 100.0 834 Tammela 39 456 96.4 647 1.6 818 2.0 40 921 100.0 858 Tuusula 10 072 96.6 279 2.7 77 0.7 10 428 100.0 927 Vihti 27 899 95.7 981 3.4 275 0.9 29 155 100.0 981 Ypäjä 7 733 97.0 80 1.0 159 2.0 7 971 100.0 Total 893 688 97.5 14 796 1.6 8 341 0.9 916 824 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 53 Table 1b. Continued Forestry centre Forest land Poorly productive forest land Unproductive land Total Municipality ha % ha % ha % ha % Kaakkois-Suomi 075 Hamina 43 485 95.8 993 2.2 903 2.0 45 381 100.0 142 Iitti 39 480 98.1 490 1.2 280 0.7 40 249 100.0 153 Imatra 9 831 98.4 70 0.7 88 0.9 9 989 100.0 285 Kotka 17 702 96.1 373 2.0 341 1.9 18 416 100.0 286 Kouvola 172 158 97.8 2 253 1.3 1 695 1.0 176 106 100.0 405 Lappeenranta 72 352 97.0 1 147 1.5 1 098 1.5 74 597 100.0 416 Lemi 16 235 97.2 201 1.2 270 1.6 16 706 100.0 441 Luumäki 58 910 96.5 1 183 1.9 989 1.6 61 081 100.0 489 Miehikkälä 31 467 95.6 795 2.4 663 2.0 32 925 100.0 580 Parikkala 42 831 98.4 301 0.7 382 0.9 43 514 100.0 624 Pyhtää-Pyttis 17 771 94.8 716 3.8 259 1.4 18 746 100.0 689 Rautjärvi 28 368 98.9 136 0.5 188 0.7 28 692 100.0 700 Ruokolahti 79 780 97.7 998 1.2 859 1.1 81 637 100.0 739 Savitaipale 42 847 97.6 585 1.3 489 1.1 43 921 100.0 775 Suomenniemi 24 084 97.9 316 1.3 204 0.8 24 605 100.0 831 Taipalsaari 25 996 97.4 382 1.4 304 1.1 26 682 100.0 935 Virolahti 25 700 93.3 1 036 3.8 802 2.9 27 538 100.0 978 Ylämaa 30 192 96.5 510 1.6 574 1.8 31 276 100.0 Total 779 189 97.2 12 485 1.6 10 389 1.3 802 063 100.0 Pirkanmaa 020 Akaa 5 117 96.4 40 0.8 150 2.8 5 308 100.0 108 Hämeenkyrö 28 108 97.2 540 1.9 268 0.9 28 916 100.0 143 Ikaalinen 54 978 96.1 1 550 2.7 659 1.2 57 187 100.0 177 Juupajoki 19 456 97.3 368 1.8 169 0.9 19 993 100.0 211 Kangasala 31 286 97.8 326 1.0 364 1.1 31 975 100.0 250 Kihniö 27 353 94.8 876 3.0 627 2.2 28 856 100.0 289 Kuhmalahti 12 328 98.0 186 1.5 70 0.6 12 584 100.0 310 Kylmäkoski 10 737 97.1 158 1.4 164 1.5 11 060 100.0 418 Lempäälä 17 132 97.9 153 0.9 223 1.3 17 507 100.0 508 Mänttä-Vilppula 43 033 98.0 653 1.5 239 0.5 43 925 100.0 536 Nokia 18 418 97.6 201 1.1 260 1.4 18 879 100.0 562 Orivesi 62 256 97.9 846 1.3 465 0.7 63 567 100.0 581 Parkano 64 762 92.6 2 911 4.2 2 248 3.2 69 920 100.0 604 Pirkkala 4 977 97.9 39 0.8 66 1.3 5 082 100.0 619 Punkalaidun 18 123 95.5 398 2.1 465 2.5 18 986 100.0 635 Pälkäne 40 535 98.6 346 0.8 232 0.6 41 113 100.0 702 Ruovesi 58 369 97.8 1 017 1.7 321 0.5 59 707 100.0 790 Sastamala 82 002 96.6 2 001 2.4 900 1.1 84 903 100.0 837 Tampere 37 762 97.6 512 1.3 435 1.1 38 709 100.0 887 Urjala 28 370 95.7 567 1.9 721 2.4 29 659 100.0 908 Valkeakoski 13 877 97.7 101 0.7 233 1.6 14 211 100.0 922 Vesilahti 16 113 97.4 155 0.9 283 1.7 16 551 100.0 936 Virrat 91 688 95.7 2 087 2.2 2 006 2.1 95 780 100.0 980 Ylöjärvi 86 715 96.7 1 940 2.2 1 067 1.2 89 722 100.0 Total 873 494 96.6 17 971 2.0 12 636 1.4 904 101 100.0 Etelä-Savo 046 Enonkoski 22 265 98.4 166 0.7 187 0.8 22 617 100.0 090 Heinävesi 87 166 98.7 497 0.6 676 0.8 88 339 100.0 097 Hirvensalmi 35 036 97.9 443 1.2 301 0.8 35 780 100.0 171 Joroinen 45 291 97.9 429 0.9 539 1.2 46 259 100.0 178 Juva 92 252 97.4 1 424 1.5 1 016 1.1 94 692 100.0 213 Kangasniemi 89 157 98.4 776 0.9 650 0.7 90 583 100.0 246 Kerimäki 45 115 97.3 659 1.4 580 1.3 46 354 100.0 491 Mikkeli 132 026 96.8 2 333 1.7 2 026 1.5 136 386 100.0 507 Mäntyharju 81 091 97.7 1 084 1.3 806 1.0 82 982 100.0 588 Pertunmaa 30 414 98.5 239 0.8 227 0.7 30 879 100.0 593 Pieksämäki 133 241 98.3 1 378 1.0 986 0.7 135 605 100.0 618 Punkaharju 38 235 98.2 322 0.8 394 1.0 38 951 100.0 623 Puumala 66 858 97.8 867 1.3 649 1.0 68 375 100.0 681 Rantasalmi 41 172 98.0 351 0.8 508 1.2 42 031 100.0 696 Ristiina 45 903 98.1 445 1.0 431 0.9 46 779 100.0 740 Savonlinna 97 206 98.2 874 0.9 882 0.9 98 962 100.0 768 Sulkava 49 338 98.0 545 1.1 444 0.9 50 328 100.0 Total 1 131 767 97.9 12 832 1.1 11 302 1.0 1 155 901 100.0 Etelä-Pohjanmaa 005 Alajärvi 74 811 91.4 4 142 5.1 2 866 3.5 81 819 100.0 010 Alavus 54 144 91.5 2 857 4.8 2 151 3.6 59 152 100.0 052 Evijärvi 23 447 84.5 2 287 8.2 2 005 7.2 27 739 100.0 074 Halsua 26 589 78.5 3 739 11.0 3 543 10.5 33 871 100.0 095 Himanka 17 984 90.8 1 217 6.1 616 3.1 19 816 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 54 Table 1b. Continued Forestry centre Forest land Poorly productive forest land Unproductive land Total Municipality ha % ha % ha % ha % 145 Ilmajoki 33 622 94.9 1 077 3.0 746 2.1 35 445 100.0 151 Isojoki 43 342 88.6 2 330 4.8 3 256 6.7 48 928 100.0 152 Isokyrö 19 006 90.2 1 231 5.8 844 4.0 21 081 100.0 164 Jalasjärvi 49 802 90.0 2 522 4.6 3 003 5.4 55 327 100.0 217 Kannus 32 106 88.2 2 723 7.5 1 583 4.4 36 413 100.0 218 Karijoki 12 245 92.0 622 4.7 445 3.3 13 312 100.0 232 Kauhajoki 77 994 87.9 5 268 5.9 5 523 6.2 88 785 100.0 233 Kauhava 74 944 88.6 6 373 7.5 3 254 3.9 84 570 100.0 236 Kaustinen 22 901 85.3 2 122 7.9 1 831 6.8 26 854 100.0 272 Kokkola-Karleby 93 000 87.9 7 313 6.9 5 509 5.2 105 822 100.0 300 Kuortane 33 180 93.1 1 421 4.0 1 036 2.9 35 637 100.0 301 Kurikka 58 878 93.0 2 584 4.1 1 868 3.0 63 330 100.0 399 Laihia 32 065 93.6 1 321 3.9 861 2.5 34 247 100.0 403 Lappajärvi 28 235 87.8 2 522 7.9 1 386 4.3 32 144 100.0 408 Lapua 41 507 87.6 3 385 7.1 2 483 5.2 47 374 100.0 421 Lestijärvi 32 513 82.3 3 251 8.2 3 730 9.4 39 493 100.0 584 Perho 46 919 79.8 5 796 9.9 6 050 10.3 58 765 100.0 743 Seinäjoki 86 843 89.7 4 871 5.0 5 152 5.3 96 866 100.0 759 Soini 42 311 90.0 2 426 5.2 2 297 4.9 47 034 100.0 846 Teuva 35 633 91.7 1 968 5.1 1 250 3.2 38 851 100.0 849 Toholampi 36 951 80.8 3 629 7.9 5 179 11.3 45 759 100.0 863 Töysä 22 360 94.7 860 3.6 383 1.6 23 604 100.0 924 Veteli 30 692 83.4 3 086 8.4 3 017 8.2 36 796 100.0 934 Vimpeli 17 966 86.0 1 657 7.9 1 272 6.1 20 894 100.0 942 Vähäkyrö 8 946 97.2 138 1.5 120 1.3 9 203 100.0 989 Ähtäri 65 800 94.6 2 352 3.4 1 390 2.0 69 542 100.0 Total 1 276 735 88.8 87 088 6.1 74 647 5.2 1 438 470 100.0 Keski-Suomi 077 Hankasalmi 44 354 98.9 246 0.6 244 0.5 44 845 100.0 172 Joutsa 68 390 98.7 479 0.7 451 0.7 69 321 100.0 179 Jyväskylä 92 897 99.1 492 0.5 363 0.4 93 752 100.0 182 Jämsä 128 474 99.0 714 0.6 547 0.4 129 735 100.0 216 Kannonkoski 38 515 97.6 636 1.6 318 0.8 39 470 100.0 226 Karstula 70 317 92.8 2 866 3.8 2 611 3.4 75 794 100.0 249 Keuruu 105 712 96.4 2 661 2.4 1 338 1.2 109 711 100.0 256 Kinnula 36 567 92.1 2 095 5.3 1 047 2.6 39 709 100.0 265 Kivijärvi 39 203 95.7 1 128 2.8 635 1.6 40 965 100.0 275 Konnevesi 43 022 98.8 210 0.5 321 0.7 43 553 100.0 291 Kuhmoinen 53 639 99.1 333 0.6 137 0.3 54 109 100.0 312 Kyyjärvi 33 505 90.1 2 088 5.6 1 575 4.2 37 168 100.0 410 Laukaa 48 520 99.0 239 0.5 273 0.6 49 032 100.0 435 Luhanka 17 454 99.0 105 0.6 78 0.4 17 638 100.0 495 Multia 63 406 95.3 1 989 3.0 1 168 1.8 66 563 100.0 500 Muurame 11 120 99.4 41 0.4 31 0.3 11 192 100.0 592 Petäjävesi 37 761 98.7 312 0.8 206 0.5 38 278 100.0 601 Pihtipudas 87 352 95.1 2 230 2.4 2 231 2.4 91 812 100.0 729 Saarijärvi 101 550 96.8 2 010 1.9 1 357 1.3 104 917 100.0 850 Toivakka 29 742 98.6 260 0.9 169 0.6 30 171 100.0 892 Uurainen 28 399 97.9 392 1.4 206 0.7 28 998 100.0 931 Viitasaari 107 094 98.2 1 263 1.2 743 0.7 109 101 100.0 992 Äänekoski 74 530 98.9 501 0.7 328 0.4 75 360 100.0 Total 1 361 523 97.2 23 292 1.7 16 378 1.2 1 401 193 100.0 Pohjois-Savo 140 Iisalmi 55 406 98.7 423 0.8 313 0.6 56 142 100.0 174 Juankoski 35 590 98.2 309 0.9 334 0.9 36 233 100.0 204 Kaavi 57 968 97.6 773 1.3 672 1.1 59 413 100.0 227 Karttula 41 224 98.5 372 0.9 269 0.6 41 866 100.0 239 Keitele 40 875 97.5 725 1.7 311 0.7 41 910 100.0 263 Kiuruvesi 97 777 95.1 3 541 3.4 1 555 1.5 102 873 100.0 297 Kuopio 87 084 99.2 229 0.3 503 0.6 87 815 100.0 402 Lapinlahti 45 667 98.4 460 1.0 293 0.6 46 420 100.0 420 Leppävirta 92 348 98.9 373 0.4 650 0.7 93 371 100.0 476 Maaninka 33 921 98.5 258 0.8 265 0.8 34 444 100.0 534 Nilsiä 55 245 98.2 541 1.0 450 0.8 56 236 100.0 595 Pielavesi 93 468 97.1 1 604 1.7 1 181 1.2 96 253 100.0 686 Rautalampi 43 570 98.7 325 0.7 239 0.5 44 134 100.0 687 Rautavaara 90 985 92.6 4 140 4.2 3 085 3.1 98 209 100.0 749 Siilinjärvi 27 088 98.8 146 0.5 197 0.7 27 431 100.0 762 Sonkajärvi 116 602 92.6 5 160 4.1 4 103 3.3 125 865 100.0 778 Suonenjoki 60 055 98.5 523 0.9 396 0.7 60 975 100.0 844 Tervo 29 019 98.4 223 0.8 244 0.8 29 486 100.0 857 Tuusniemi 44 297 98.9 227 0.5 269 0.6 44 794 100.0 915 Varkaus 30 286 98.7 103 0.3 308 1.0 30 698 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 55 Table 1b. Continued Forestry centre Forest land Poorly productive forest land Unproductive land Total Municipality ha % ha % ha % ha % 916 Varpaisjärvi 37 493 97.5 558 1.5 408 1.1 38 459 100.0 921 Vesanto 35 243 98.7 330 0.9 148 0.4 35 721 100.0 925 Vieremä 70 499 95.0 2 114 2.9 1 628 2.2 74 241 100.0 Total 1 321 710 97.0 23 456 1.7 17 821 1.3 1 362 988 100.0 Pohjois-Karjala 146 Ilomantsi 209 003 88.3 12 429 5.3 15 396 6.5 236 827 100.0 167 Joensuu 197 095 96.4 3 067 1.5 4 317 2.1 204 478 100.0 176 Juuka 125 721 94.9 3 040 2.3 3 686 2.8 132 448 100.0 248 Kesälahti 31 691 97.1 327 1.0 615 1.9 32 633 100.0 260 Kitee 67 739 97.5 624 0.9 1 111 1.6 69 474 100.0 276 Kontiolahti 65 709 97.0 939 1.4 1 064 1.6 67 712 100.0 309 Outokumpu 35 412 97.4 436 1.2 505 1.4 36 353 100.0 422 Lieksa 274 499 93.5 10 452 3.6 8 497 2.9 293 448 100.0 426 Liperi 52 635 98.1 401 0.8 605 1.1 53 640 100.0 541 Nurmes 134 954 95.5 3 575 2.5 2 727 1.9 141 257 100.0 607 Polvijärvi 61 300 96.0 1 018 1.6 1 515 2.4 63 832 100.0 707 Rääkkylä 32 664 96.9 337 1.0 725 2.2 33 727 100.0 848 Tohmajärvi 64 995 96.4 1 267 1.9 1 174 1.7 67 436 100.0 911 Valtimo 67 729 96.5 1 499 2.1 941 1.3 70 169 100.0 Total 1 421 146 94.5 39 411 2.6 42 878 2.9 1 503 435 100.0 Kainuu 105 Hyrynsalmi 109 050 85.6 12 076 9.5 6 253 4.9 127 379 100.0 205 Kajaani 143 947 88.1 11 625 7.1 7 815 4.8 163 387 100.0 290 Kuhmo 359 231 86.5 29 710 7.2 26 308 6.3 415 249 100.0 578 Paltamo 77 631 92.4 3 959 4.7 2 404 2.9 83 994 100.0 620 Puolanka 182 512 81.9 24 009 10.8 16 369 7.3 222 890 100.0 697 Ristijärvi 69 122 89.1 5 268 6.8 3 156 4.1 77 546 100.0 765 Sotkamo 220 770 92.4 10 816 4.5 7 419 3.1 239 005 100.0 777 Suomussalmi 367 812 79.9 56 259 12.2 36 126 7.9 460 198 100.0 785 Vaala 84 543 79.5 11 835 11.1 9 988 9.4 106 367 100.0 Total 1 614 619 85.2 165 557 8.7 115 839 6.1 1 896 015 100.0 Pohjois-Pohjanmaa 009 Alavieska 15 952 88.4 1 263 7.0 831 4.6 18 046 100.0 069 Haapajärvi 58 325 93.1 2 395 3.8 1 941 3.1 62 662 100.0 071 Haapavesi 75 428 88.9 5 685 6.7 3 714 4.4 84 826 100.0 072 Hailuoto 12 846 89.6 964 6.7 522 3.6 14 333 100.0 084 Haukipudas 30 262 82.5 3 199 8.7 3 202 8.7 36 662 100.0 139 Ii 101 920 76.6 14 455 10.9 16 674 12.5 133 049 100.0 208 Kalajoki 45 055 89.0 4 444 8.8 1 111 2.2 50 610 100.0 244 Kempele 5 910 84.9 520 7.5 535 7.7 6 966 100.0 255 Kiiminki 21 375 81.2 2 482 9.4 2 473 9.4 26 331 100.0 305 Kuusamo 315 660 74.3 66 680 15.7 42 698 10.1 425 038 100.0 317 Kärsämäki 52 201 89.8 4 059 7.0 1 870 3.2 58 130 100.0 425 Liminka 35 267 79.5 4 711 10.6 4 414 9.9 44 392 100.0 436 Lumijoki 12 534 88.7 1 028 7.3 574 4.1 14 137 100.0 483 Merijärvi 17 107 91.3 1 182 6.3 446 2.4 18 735 100.0 494 Muhos 47 856 75.2 6 846 10.8 8 927 14.0 63 629 100.0 535 Nivala 30 427 94.7 1 077 3.4 616 1.9 32 120 100.0 563 Oulainen 43 692 91.4 3 126 6.5 995 2.1 47 813 100.0 564 Oulu 90 017 77.7 12 133 10.5 13 752 11.9 115 902 100.0 567 Oulunsalo 4 840 90.3 259 4.8 260 4.8 5 359 100.0 615 Pudasjärvi 340 408 71.0 60 208 12.6 79 120 16.5 479 735 100.0 625 Pyhäjoki 41 034 89.1 3 611 7.8 1 392 3.0 46 037 100.0 626 Pyhäsalmi 105 431 91.7 5 379 4.7 4 127 3.6 114 937 100.0 630 Pyhäntä 57 343 81.4 6 362 9.0 6 749 9.6 70 454 100.0 678 Raahe 38 857 88.7 2 972 6.8 1 979 4.5 43 808 100.0 691 Reisjärvi 34 198 90.2 2 471 6.5 1 236 3.3 37 906 100.0 746 Sievi 53 904 83.7 6 542 10.2 3 943 6.1 64 389 100.0 748 Siikajoki 67 896 86.8 6 431 8.2 3 872 5.0 78 200 100.0 791 Siikalatva 151 774 84.9 14 707 8.2 12 263 6.9 178 745 100.0 832 Taivalkoski 164 234 75.7 28 205 13.0 24 523 11.3 216 962 100.0 859 Tyrnävä 28 227 78.4 4 179 11.6 3 593 10.0 35 999 100.0 889 Utajärvi 103 234 74.6 16 047 11.6 19 047 13.8 138 328 100.0 926 Vihanti 34 592 85.8 3 441 8.5 2 297 5.7 40 330 100.0 972 Yli-Ii 50 263 74.7 7 606 11.3 9 422 14.0 67 291 100.0 977 Ylivieska 40 585 91.6 2 496 5.6 1 217 2.8 44 298 100.0 Total 2 328 656 79.9 307 166 10.5 280 336 9.6 2 916 157 100.0 Lapland 047 Enontekiö 66 157 24.6 77 736 28.8 125 614 46.6 269 507 100.0 148 Inari 387 068 61.0 146 935 23.2 100 240 15.8 634 243 100.0 240 Kemi 6 046 91.4 360 5.4 210 3.2 6 616 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 56 Table 1b. Continued Forestry centre Forest land Poorly productive forest land Unproductive land Total Municipality ha % ha % ha % ha % 241 Keminmaa 40 143 79.4 4 818 9.5 5 603 11.1 50 565 100.0 261 Kittilä 380 898 62.0 137 344 22.4 95 898 15.6 614 141 100.0 273 Kolari 165 922 71.8 45 380 19.6 19 704 8.5 231 006 100.0 320 Kemijärvi 244 833 73.7 49 506 14.9 37 955 11.4 332 294 100.0 498 Muonio 101 447 68.0 27 021 18.1 20 685 13.9 149 154 100.0 583 Pelkosenniemi 106 638 67.0 25 989 16.3 26 562 16.7 159 190 100.0 614 Posio 176 570 69.3 40 184 15.8 38 150 15.0 254 903 100.0 683 Ranua 203 001 65.6 51 410 16.6 55 214 17.8 309 626 100.0 698 Rovaniemi 526 574 74.2 114 038 16.1 69 063 9.7 709 674 100.0 732 Salla 316 248 66.4 89 180 18.7 71 077 14.9 476 505 100.0 742 Savukoski 333 172 70.3 73 636 15.5 67 488 14.2 474 296 100.0 751 Simo 77 265 71.5 15 701 14.5 15 106 14.0 108 073 100.0 758 Sodankylä 492 227 61.8 142 107 17.8 162 741 20.4 797 074 100.0 845 Tervola 102 102 78.2 17 555 13.5 10 842 8.3 130 500 100.0 851 Tornio 78 015 79.9 11 112 11.4 8 517 8.7 97 644 100.0 854 Pello 131 618 81.4 21 394 13.2 8 707 5.4 161 719 100.0 890 Utsjoki 2 840 2.8 38 608 38.3 59 298 58.9 100 746 100.0 976 Ylitornio 136 967 75.2 30 333 16.7 14 807 8.1 182 108 100.0 Total 4 075 752 65.2 1 160 349 18.6 1 013 482 16.2 6 249 583 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 57 Ta bl e 2a . A re a an d pr op or tio n of m in er a l s oi ls a nd p ea tla nd s by la nd c la ss es a nd fo re st ry c en tre s. Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % Ål an d 03 5 B rä nd ö 2 44 1 88 .7 31 0 11 .3 1 97 8 94 .9 10 7 5. 1 4 57 2 97 .0 14 0 3. 0 8 99 1 94 .2 55 7 5. 8 04 3 E ck er ö 5 18 7 90 .2 56 4 9. 8 1 78 3 95 .2 90 4. 8 1 40 3 93 .7 94 6. 3 8 37 3 91 .8 74 7 8. 2 06 0 F in st rö m 5 96 6 90 .8 60 8 9. 2 1 56 3 95 .7 71 4. 3 84 9 88 .3 11 3 11 .7 8 37 8 91 .4 79 1 8. 6 06 2 F ög lö 5 66 9 92 .5 46 1 7. 5 2 53 1 96 .4 95 3. 6 2 57 1 93 .9 16 6 6. 1 10 7 71 93 .7 72 2 6. 3 06 5 G et a 2 70 0 91 .2 26 2 8. 8 2 16 9 96 .5 78 3. 5 1 69 5 95 .6 77 4. 4 6 56 4 94 .0 41 7 6. 0 07 6 H am m ar la nd 6 49 1 90 .1 71 5 9. 9 1 99 2 95 .4 96 4. 6 1 49 4 92 .8 11 6 7. 2 9 97 7 91 .5 92 6 8. 5 17 0 J om al a 6 76 8 90 .2 73 9 9. 8 1 35 1 94 .9 73 5. 1 68 9 85 .0 12 1 15 .0 8 80 8 90 .4 93 3 9. 6 29 5 K um lin ge 1 98 4 89 .2 24 0 10 .8 2 34 0 93 .3 16 8 6. 7 3 73 0 95 .0 19 8 5. 0 8 05 4 93 .0 60 5 7. 0 31 8 K ök ar 26 5 87 .2 39 12 .8 47 7 61 .1 30 3 38 .9 4 48 2 99 .6 16 0. 4 5 22 4 93 .6 35 8 6. 4 41 7 L em la nd 5 95 1 90 .5 62 2 9. 5 1 41 0 95 .5 67 4. 5 1 17 0 92 .4 96 7. 6 8 53 1 91 .6 78 5 8. 4 43 8 L um pa rla nd 1 62 3 90 .8 16 4 9. 2 71 0 96 .3 27 3. 7 34 5 90 .0 38 10 .0 2 67 9 92 .1 22 9 7. 9 47 8 M ar ie ha m n- M aa ria nh am in a 36 9 92 .5 30 7. 5 12 5 95 .8 6 4. 2 94 91 .1 9 8. 9 58 7 93 .0 45 7. 0 73 6 S al tv ik 5 45 6 90 .7 55 8 9. 3 3 38 6 96 .4 12 5 3. 6 2 19 6 94 .8 12 1 5. 2 11 0 37 93 .2 80 4 6. 8 76 6 S ot tu ng a 54 8 90 .8 55 9. 2 52 0 97 .2 15 2. 8 1 22 7 96 .9 40 3. 1 2 29 5 95 .4 11 0 4. 6 77 1 S un d 4 59 4 90 .6 47 5 9. 4 2 22 1 96 .4 83 3. 6 85 1 91 .4 81 8. 6 7 66 6 92 .3 63 8 7. 7 94 1 V år dö 3 19 7 92 .2 27 0 7. 8 2 55 6 97 .2 73 2. 8 2 63 3 96 .8 87 3. 2 8 38 6 95 .1 43 0 4. 9 To ta l 59 2 09 90 .6 6 11 1 9. 4 27 1 10 94 .8 1 47 6 5. 2 30 0 02 95 .2 1 51 2 4. 8 11 6 32 1 92 .7 9 09 9 7. 3 R an ni kk o/ Et el är an ni kk o 04 9 E sp oo -E sb o 13 9 73 88 .9 1 74 3 11 .1 1 30 1 94 .5 75 5. 5 17 7 61 .8 11 0 38 .2 15 4 52 88 .9 1 92 8 11 .1 07 8 H an ko -H an gö 5 65 1 87 .2 82 8 12 .8 1 74 7 96 .6 62 3. 4 44 6 76 .4 13 8 23 .6 7 84 3 88 .4 1 02 8 11 .6 09 1 H el si nk i-H el si ng fo rs 6 44 5 89 .0 79 9 11 .0 1 03 4 96 .9 33 3. 1 34 7 87 .9 48 12 .1 7 82 6 89 .9 88 0 10 .1 09 2 V an ta a- Va nd a 8 87 9 88 .6 1 14 8 11 .4 49 9 92 .0 44 8. 0 22 6 81 .1 53 18 .9 9 60 4 88 .5 1 24 5 11 .5 14 9 In gå -In ko o 16 8 73 89 .4 1 99 7 10 .6 2 62 7 94 .8 14 3 5. 2 44 7 72 .4 17 1 27 .6 19 9 47 89 .6 2 31 1 10 .4 23 5 K au ni ai ne n- G ra nk ul la 17 2 85 .9 28 14 .1 29 96 .0 1 4. 0 3 89 .5 0 10 .5 20 4 87 .2 30 12 .8 25 7 K irk ko nu m m i-K yr ks lä tt 17 7 00 88 .2 2 36 4 11 .8 2 55 5 91 .8 22 9 8. 2 40 2 54 .0 34 3 46 .0 20 6 57 87 .6 2 93 7 12 .4 32 2 K em iö ns aa ri 31 3 46 90 .1 3 42 9 9. 9 10 9 80 97 .4 29 7 2. 6 2 85 1 82 .0 62 6 18 .0 45 1 77 91 .2 4 35 3 8. 8 40 7 L ap in jä rv i-L ap pt rä sk 15 4 70 84 .7 2 79 0 15 .3 34 2 78 .7 92 21 .3 0 0. 3 54 99 .7 15 8 12 84 .3 2 93 6 15 .7 42 4 L ilje nd al 5 18 5 86 .6 80 0 13 .4 14 1 85 .5 24 14 .5 0 0. 1 18 99 .9 5 32 7 86 .4 84 2 13 .6 43 4 L ov iis a- Lo vi sa 2 41 6 86 .4 38 2 13 .6 13 0 91 .0 13 9. 0 6 27 .1 15 72 .9 2 55 2 86 .2 40 9 13 .8 44 4 L än si -T ur un m aa 41 8 94 93 .3 2 99 2 6. 7 15 0 70 98 .1 29 7 1. 9 5 30 8 92 .2 44 9 7. 8 62 2 72 94 .3 3 73 8 5. 7 58 5 P er nå -P er na ja 23 0 26 85 .3 3 96 7 14 .7 1 02 5 84 .8 18 4 15 .2 49 18 .0 22 2 82 .0 24 1 00 84 .6 4 37 3 15 .4 63 8 P or vo o- Bo rg å 32 9 19 88 .1 4 45 0 11 .9 1 84 6 89 .4 22 0 10 .6 19 7 42 .3 26 9 57 .7 34 9 62 87 .6 4 93 9 12 .4 70 1 R uo ts in py ht ää -S trö m fo rs 14 7 35 81 .4 3 37 5 18 .6 45 8 76 .8 13 8 23 .2 37 11 .2 29 2 88 .8 15 2 30 80 .0 3 80 6 20 .0 71 0 R aa se po ri 60 2 83 87 .6 8 55 4 12 .4 9 84 4 95 .2 50 0 4. 8 1 45 9 62 .3 88 3 37 .7 71 5 86 87 .8 9 93 7 12 .2 75 3 S ip oo -S ib bo 16 5 81 89 .2 2 00 7 10 .8 98 9 91 .9 87 8. 1 10 1 40 .0 15 2 60 .0 17 6 71 88 .7 2 24 6 11 .3 75 5 S iu nt io -S ju nd eå 11 1 14 88 .7 1 41 1 11 .3 92 3 90 .2 10 0 9. 8 92 36 .1 16 4 63 .9 12 1 29 87 .9 1 67 5 12 .1 To ta l 32 4 66 1 88 .3 43 0 63 11 .7 51 5 39 95 .3 2 54 0 4. 7 12 1 49 75 .2 4 00 8 24 .8 38 8 35 0 88 .7 49 6 12 11 .3 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 58 Ta bl e 2a . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % R an ni kk o/ Po hj an m aa n ra nn ik ko 23 1 K as ki ne n- Ka sk ö 55 1 80 .1 13 7 19 .9 14 91 .8 1 8. 2 10 43 .7 13 56 .3 57 5 79 .2 15 1 20 .8 28 0 K or sn äs 13 3 68 75 .1 4 42 8 24 .9 96 20 .5 37 2 79 .5 48 6. 3 71 1 93 .7 13 5 12 71 5 51 1 29 28 7 K ris tin es ta d- Kr is tii na nk au pu nk i 37 0 90 74 .3 12 8 13 25 .7 82 0 46 96 1 54 61 3. 4 1 71 6 96 .6 37 9 71 71 15 4 90 29 28 8 K ro no by -K ru un up yy 31 1 76 62 .5 18 7 20 37 .5 50 4 17 .8 2 33 3 82 .2 42 1. 7 2 43 8 98 .3 31 7 22 57 .5 23 4 91 42 .5 44 0 L ar sm o- Lu ot o 8 56 0 79 .8 2 17 0 20 .2 29 9 58 .1 21 6 41 .9 85 17 41 6 83 8 94 4 76 .1 2 80 2 23 .9 47 5 M al ax -M aa la ht i 25 7 50 73 .1 9 47 4 26 .9 27 1 17 .5 1 27 9 82 .5 12 9 5. 2 2 36 7 94 .8 26 1 50 66 .6 13 1 20 33 .4 49 9 K or sh ol m -M us ta sa ar i 47 6 79 82 .5 10 1 13 17 .5 72 4 46 .4 83 5 53 .6 19 2 10 .2 1 68 6 89 .8 48 5 95 79 .4 12 6 34 20 .6 54 5 N är pe s- N är pi ö 44 5 57 68 .4 20 5 96 31 .6 51 5 19 .6 2 11 1 80 .4 15 8 5. 3 2 80 1 94 .7 45 2 31 63 .9 25 5 08 36 .1 55 9 O ra va is -O ra va in en 9 39 4 71 .8 3 69 4 28 .2 40 0 55 .1 32 6 44 .9 29 5 54 6 95 9 82 3 68 .3 4 56 6 31 .7 59 8 J ak ob st ad -P ie ta rs aa ri 4 14 5 72 1 61 4 28 15 8 51 .7 14 7 48 .3 20 10 .5 17 4 89 .5 4 32 4 69 .1 1 93 6 30 .9 59 9 P ed er sö re -P ed er sö re n ku nt a 33 8 63 61 .4 21 3 29 38 .6 61 4 20 .4 2 39 8 79 .6 40 2. 4 1 63 1 97 .6 34 5 17 57 .6 25 3 57 42 .4 89 3 N yk ar le by -U us ik aa rle py y 29 9 75 61 .7 18 6 30 38 .3 1 41 7 49 .2 1 46 5 50 .8 10 5 5 1 98 2 95 31 4 97 58 .8 22 0 78 41 .2 90 5 V aa sa -V as a 9 93 9 83 .6 1 95 3 16 .4 13 8 55 .9 10 9 44 .1 75 20 .6 29 0 79 .4 10 1 52 81 .2 2 35 1 18 .8 94 5 V ör å- M ax m o Vö yr i-M ak sa m aa 29 8 77 76 .6 9 13 0 23 .4 86 7 54 .1 73 6 45 .9 10 9 8 1 24 1 92 30 8 52 73 .5 11 1 07 26 .5 To ta l 32 5 92 3 70 .7 13 4 80 2 29 .3 6 83 7 34 13 2 87 66 1 10 4 5. 8 18 0 13 94 .2 33 3 86 5 66 .8 16 6 10 1 33 .2 Lo un ai s- Su om i 01 9 A ur a 3 33 2 87 .6 47 3 12 .4 19 8 80 .3 49 19 .7 28 30 .4 63 69 .6 3 55 8 85 .9 58 4 14 .1 05 0 E ur a 28 5 84 82 .2 6 17 4 17 .8 76 3 49 .8 76 8 50 .2 94 8. 4 1 02 9 91 .6 29 4 42 78 .7 7 97 1 21 .3 05 1 E ur aj ok i 19 0 36 85 .8 3 15 2 14 .2 62 3 70 .6 26 0 29 .4 21 8 25 .7 62 9 74 .3 19 8 76 83 .1 4 04 1 16 .9 07 9 H ar ja va lta 5 64 0 77 1 68 1 23 43 22 .9 14 5 77 .1 23 5. 6 38 6 94 .4 5 70 6 72 .1 2 21 1 27 .9 09 9 H on ka jo ki 13 2 91 63 7 79 9 37 15 4 11 .3 1 21 1 88 .7 0 0 1 81 0 10 0 13 4 45 55 .4 10 8 20 44 .6 10 2 H ui tti ne n 22 1 22 81 .9 4 87 3 18 .1 17 3 20 .3 67 9 79 .7 89 6 1 39 5 94 22 3 84 76 .3 6 94 6 23 .7 18 1 J äm ijä rv i 9 53 9 71 .8 3 75 6 28 .2 19 3 39 .9 29 0 60 .1 4 1. 3 31 5 98 .7 9 73 6 69 .1 4 36 1 30 .9 20 2 K aa rin a 6 08 9 92 .3 51 0 7. 7 62 1 94 .3 38 5. 7 96 69 .7 42 30 .3 6 80 6 92 58 9 8 21 4 K an ka an pä ä 32 3 40 68 15 2 54 32 50 7 22 .3 1 77 0 77 .7 2 0. 1 2 59 9 99 .9 32 8 50 62 .6 19 6 22 37 .4 23 0 K ar vi a 19 3 18 60 .8 12 4 32 39 .2 19 7 8. 3 2 17 3 91 .7 1 0 3 40 8 10 0 19 5 17 52 18 0 12 48 25 4 K iik oi ne n 7 50 9 81 .8 1 67 6 18 .2 11 6 35 .6 21 0 64 .4 3 1. 7 17 4 98 .3 7 62 9 78 .7 2 06 0 21 .3 27 1 K ok em äk i 23 9 04 80 .3 5 86 8 19 .7 21 2 28 .4 53 6 71 .6 76 7 1 00 2 93 24 1 92 76 .6 7 40 5 23 .4 28 4 K os ki T. l. 5 92 4 76 .8 1 79 2 23 .2 26 3 69 .2 11 7 30 .8 3 1. 4 22 3 98 .6 6 19 0 74 .4 2 13 3 25 .6 30 4 K us ta vi 7 68 4 92 .6 61 3 7. 4 3 18 1 96 .1 12 8 3. 9 97 7 81 .1 22 8 18 .9 11 8 42 92 .4 96 8 7. 6 31 9 K öy liö 11 1 60 77 .4 3 26 1 22 .6 21 2 21 .4 77 8 78 .6 26 4. 2 58 3 95 .8 11 3 97 71 .1 4 62 2 28 .9 40 0 L ai til a 26 4 55 84 5 04 7 16 1 77 3 65 .4 93 7 34 .6 20 3 9. 5 1 93 1 90 .5 28 4 31 78 .2 7 91 5 21 .8 41 3 L av ia 18 5 39 80 .9 4 38 4 19 .1 58 5 53 .9 50 1 46 .1 45 7. 3 57 5 92 .7 19 1 70 77 .8 5 46 0 22 .2 42 3 L ie to 7 43 7 88 .3 98 8 11 .7 63 6 87 95 13 63 43 .5 81 56 .5 8 13 6 87 .5 1 16 5 12 .5 43 0 L oi m aa 25 7 70 79 .8 6 51 5 20 .2 73 9 47 83 3 53 20 1. 3 1 51 1 98 .7 26 5 29 75 8 85 8 25 44 2 L uv ia 10 8 08 88 .8 1 37 0 11 .2 28 21 .6 10 0 78 .4 50 16 .9 24 4 83 .1 10 8 85 86 .4 1 71 4 13 .6 48 0 M ar tti la 7 10 5 82 .7 1 49 1 17 .3 49 4 68 .6 22 6 31 .4 47 8. 2 52 8 91 .8 7 64 6 77 .3 2 24 4 22 .7 48 1 M as ku 8 28 3 89 .7 94 7 10 .3 1 00 2 90 .5 10 5 9. 5 13 7 31 .2 30 2 68 .8 9 42 3 87 .4 1 35 5 12 .6 48 4 M er ik ar vi a 26 2 51 77 .5 7 62 6 22 .5 15 8 21 .5 57 6 78 .5 18 0. 8 2 21 5 99 .2 26 4 27 71 .7 10 4 18 28 .3 50 3 M yn äm äk i 23 5 18 80 .7 5 63 8 19 .3 1 78 2 65 95 9 35 97 4. 9 1 87 6 95 .1 25 3 97 75 8 47 3 25 52 9 N aa nt al i 12 9 43 94 .1 81 2 5. 9 4 33 1 98 .1 86 1. 9 81 4 87 .7 11 4 12 .3 18 0 88 94 .7 1 01 2 5. 3 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 59 Ta bl e 2a . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 53 1 N ak ki la 7 75 0 83 1 59 0 17 32 14 .6 18 8 85 .4 21 8. 7 22 4 91 .3 7 80 3 79 .6 2 00 1 20 .4 53 7 N oo rm ar kk u 19 2 61 79 5 10 8 21 11 5 20 .2 45 5 79 .8 10 1. 3 77 4 98 .7 19 3 87 75 .4 6 33 8 24 .6 53 8 N ou si ai ne n 8 57 3 85 .8 1 41 8 14 .2 90 5 81 .4 20 6 18 .6 85 14 .8 49 1 85 .2 9 56 4 81 .9 2 11 6 18 .1 56 1 O rip ää 3 84 0 76 .9 1 15 5 23 .1 34 4 72 .9 12 8 27 .1 9 2. 5 34 1 97 .5 4 19 2 72 .1 1 62 3 27 .9 57 7 P ai m io 10 1 88 88 .5 1 32 8 11 .5 1 07 2 90 .6 11 1 9. 4 10 2 48 .4 10 9 51 .6 11 3 62 88 1 54 8 12 60 8 P om ar kk u 17 6 91 78 .5 4 84 9 21 .5 15 3 25 .2 45 4 74 .8 45 3. 8 1 12 8 96 .2 17 8 90 73 .6 6 43 2 26 .4 60 9 P or i 27 0 74 87 .5 3 86 9 12 .5 89 28 .2 22 7 71 .8 74 6. 4 1 08 5 93 .6 27 2 37 84 5 18 1 16 63 1 P yh är an ta 8 51 4 88 .6 1 09 8 11 .4 71 9 87 .8 10 0 12 .2 12 1 40 .3 17 9 59 .7 9 35 4 87 .2 1 37 7 12 .8 63 6 P öy ty ä 32 0 91 79 .5 8 29 2 20 .5 2 37 6 63 .4 1 37 2 36 .6 64 2. 3 2 75 0 97 .7 34 5 31 73 .6 12 4 15 26 .4 68 0 R ai si o 1 79 6 93 13 5 7 22 8 94 .9 12 5. 1 46 77 .8 13 22 .2 2 07 0 92 .8 16 1 7. 2 68 4 R au m a 26 9 79 87 .9 3 72 7 12 .1 2 89 9 88 .6 37 3 11 .4 47 9 50 .6 46 8 49 .4 30 3 56 86 .9 4 56 8 13 .1 70 4 R us ko 5 18 4 84 .7 93 9 15 .3 36 8 75 .2 12 1 24 .8 32 8. 8 33 4 91 .2 5 58 4 80 1 39 4 20 73 4 S al o 89 7 87 85 .9 14 7 82 14 .1 9 09 0 88 .8 1 14 5 11 .2 70 1 27 .8 1 82 3 72 .2 99 5 78 84 .9 17 7 50 15 .1 73 8 S au vo 11 1 20 91 .6 1 02 1 8. 4 1 65 2 95 .9 71 4. 1 17 5 75 .9 56 24 .1 12 9 47 91 .9 1 14 8 8. 1 74 7 S iik ai ne n 25 2 17 71 .8 9 88 9 28 .2 14 7 12 .8 1 00 3 87 .2 20 0. 7 2 94 1 99 .3 25 3 84 64 .7 13 8 32 35 .3 76 1 S om er o 27 5 78 83 .6 5 40 1 16 .4 37 2 52 .4 33 8 47 .6 37 4. 9 71 7 95 .1 27 9 87 81 .3 6 45 5 18 .7 78 3 S äk yl ä 8 14 7 83 .1 1 65 7 16 .9 36 7 57 .8 26 8 42 .2 3 2. 5 13 4 97 .5 8 51 8 80 .5 2 05 9 19 .5 83 3 Ta iva ss al o 6 14 7 93 .9 40 2 6. 1 1 55 4 96 .5 56 3. 5 27 8 77 .3 81 22 .7 7 97 9 93 .7 53 9 6. 3 83 8 Ta rv as jo ki 3 69 5 89 .5 43 4 10 .5 23 3 86 38 14 31 46 .6 36 53 .4 3 95 9 88 .6 50 8 11 .4 85 3 Tu rk u- Åb o 9 16 9 90 .5 95 9 9. 5 93 9 91 93 9 23 2 59 .4 15 9 40 .6 10 3 41 89 .5 1 21 2 10 .5 88 6 U lv ila 21 3 73 77 .2 6 32 9 22 .8 16 4 19 .5 67 8 80 .5 22 3. 1 68 3 96 .9 21 5 59 73 .7 7 69 0 26 .3 89 5 U us ik au pu nk i 26 1 20 90 .7 2 69 2 9. 3 4 15 0 93 31 1 7 93 4 67 46 1 33 31 2 04 90 3 46 4 10 91 8 V eh m aa 8 76 6 90 .8 88 4 9. 2 1 04 8 89 .9 11 8 10 .1 13 4 48 .8 14 0 51 .2 9 94 7 89 .7 1 14 2 10 .3 To ta l 78 8 64 3 81 .2 18 2 08 7 18 .8 47 9 99 69 .1 21 4 34 30 .9 6 79 0 15 38 3 89 85 84 3 43 2 77 .7 24 1 91 1 22 .3 H äm e- U us im aa 01 5 A rtj är vi 8 02 4 90 .3 85 9 9. 7 13 6 78 .7 37 21 .3 0 0 46 10 0 8 16 0 89 .7 94 2 10 .3 01 6 A si kk al a 34 9 23 86 .3 5 52 9 13 .7 38 8 69 .4 17 1 30 .6 46 21 17 3 79 35 3 57 85 .8 5 87 3 14 .2 01 8 A sk ol a 9 75 5 88 .2 1 30 6 11 .8 18 3 82 40 18 0 0 54 10 0 9 93 8 87 .6 1 40 0 12 .4 06 1 F or ss a 11 2 86 84 .8 2 02 4 15 .2 24 8. 5 25 5 91 .5 76 18 .4 33 8 81 .6 11 3 86 81 .3 2 61 6 18 .7 08 1 H ar to la 37 5 36 85 .1 6 56 3 14 .9 13 0 30 30 4 70 35 18 .1 16 0 81 .9 37 7 01 84 .3 7 02 7 15 .7 08 2 H at tu la 18 6 71 79 .4 4 84 9 20 .6 13 3 23 .7 42 8 76 .3 32 8. 6 34 4 91 .4 18 8 37 77 5 62 2 23 08 6 H au sj är vi 15 9 44 84 3 02 8 16 11 1 23 .5 36 2 76 .5 51 16 .7 25 4 83 .3 16 1 06 81 .5 3 64 4 18 .5 09 8 H ol lo la 25 4 40 88 .7 3 22 6 11 .3 83 32 .4 17 2 67 .6 41 11 .8 30 8 88 .2 25 5 64 87 .3 3 70 6 12 .7 10 3 H um pp ila 5 89 0 82 .9 1 21 6 17 .1 30 24 .3 95 75 .7 12 5. 6 19 5 94 .4 5 93 2 79 .8 1 50 6 20 .2 10 6 H yv in kä ä 15 7 89 79 .7 4 01 9 20 .3 10 1 23 33 9 77 22 5. 2 40 0 94 .8 15 9 12 77 4 75 7 23 10 9 H äm ee nl in na 10 5 26 5 81 .6 23 6 92 18 .4 40 8 25 .9 1 17 0 74 .1 12 6 8. 7 1 32 8 91 .3 10 5 80 0 80 .2 26 1 90 19 .8 11 1 H ei no la 47 9 32 85 .4 8 19 2 14 .6 40 7 67 20 0 33 55 14 .9 31 4 85 .1 48 3 94 84 .8 8 70 7 15 .2 16 5 J an ak ka la 27 2 36 81 .7 6 10 7 18 .3 15 3 25 .3 45 4 74 .7 41 7. 1 53 4 92 .9 27 4 30 79 .4 7 09 5 20 .6 16 9 J ok io in en 7 09 4 90 .4 75 5 9. 6 5 9. 5 48 90 .5 85 39 .8 12 9 60 .2 7 18 5 88 .5 93 2 11 .5 18 6 J är ve np ää 1 28 5 91 .8 11 5 8. 2 35 89 4 11 14 67 .7 7 32 .3 1 33 4 91 .4 12 6 8. 6 22 3 K ar ja lo hj a 6 26 2 87 .1 92 6 12 .9 32 5 81 .7 73 18 .3 72 42 .3 98 57 .7 6 65 9 85 .9 1 09 7 14 .1 22 4 K ar kk ila 13 6 09 85 2 40 1 15 20 9 57 .4 15 5 42 .6 4 4. 4 91 95 .6 13 8 22 83 .9 2 64 8 16 .1 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 60 Ta bl e 2a . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 24 5 K er av a 1 09 8 90 12 2 10 53 91 .8 5 8. 2 15 75 .3 5 24 .7 1 16 6 89 .9 13 1 10 .1 28 3 H äm ee nk os ki 10 2 04 88 .2 1 37 1 11 .8 11 15 .6 59 84 .4 26 30 .7 59 69 .3 10 2 41 87 .3 1 48 8 12 .7 31 6 K är kö lä 11 5 69 83 .7 2 25 7 16 .3 18 6. 1 27 7 93 .9 38 16 .9 18 9 83 .1 11 6 25 81 2 72 2 19 39 8 L ah ti 6 23 1 90 .3 67 0 9. 7 52 34 .4 99 65 .6 20 29 .3 47 70 .7 6 30 3 88 .5 81 6 11 .5 43 3 L op pi 34 1 76 80 .2 8 41 7 19 .8 39 1 40 .8 56 9 59 .2 63 11 .4 49 4 88 .6 34 6 30 78 .5 9 48 0 21 .5 44 4 L oh ja 17 2 65 89 .9 1 93 3 10 .1 75 9 86 .6 11 7 13 .4 14 0 53 .1 12 4 46 .9 18 1 64 89 .3 2 17 4 10 .7 50 4 M yr sk yl ä- M ör sk om 10 0 42 86 .7 1 54 6 13 .3 19 5 75 .7 63 24 .3 0 0 57 10 0 10 2 37 86 1 66 6 14 50 5 M än ts äl ä 28 8 11 83 .6 5 66 6 16 .4 72 16 37 5 84 88 20 .2 34 8 79 .8 28 9 71 81 .9 6 38 9 18 .1 53 2 N as to la 18 5 56 87 .4 2 67 6 12 .6 32 1 66 .4 16 2 33 .6 49 22 17 5 78 18 9 26 86 .3 3 01 3 13 .7 54 0 N um m i-P us ul a 24 4 30 86 .3 3 87 9 13 .7 90 2 80 .2 22 3 19 .8 14 2 46 .4 16 4 53 .6 25 4 74 85 .7 4 26 6 14 .3 54 3 N ur m ijä rv i 15 0 32 88 .9 1 87 7 11 .1 45 0 79 12 0 21 67 42 .7 90 57 .3 15 5 49 88 .2 2 08 7 11 .8 56 0 O rim at til a 30 6 10 89 .9 3 44 0 10 .1 25 4 58 .8 17 8 41 .2 54 19 .4 22 2 80 .6 30 9 18 88 .9 3 84 1 11 .1 57 6 P ad as jo ki 35 1 49 83 .2 7 09 8 16 .8 27 3 55 .5 21 9 44 .5 16 8. 1 17 9 91 .9 35 4 38 82 .5 7 49 5 17 .5 61 1 P or na in en 6 74 6 86 .1 1 08 7 13 .9 17 0 74 .2 59 25 .8 3 5. 1 59 94 .9 6 91 9 85 .2 1 20 5 14 .8 61 6 P uk ki la 5 96 6 87 89 3 13 62 65 .9 32 34 .1 0 0. 3 39 99 .7 6 02 9 86 .2 96 4 13 .8 69 4 R iih im äk i 5 77 5 85 1 02 3 15 27 32 .7 56 67 .3 10 19 .3 42 80 .7 5 81 2 83 .8 1 12 1 16 .2 78 1 S ys m ä 47 1 58 90 5 22 7 10 15 3 45 .2 18 6 54 .8 49 34 .7 93 65 .3 47 3 60 89 .6 5 50 5 10 .4 83 4 Ta m m el a 31 8 46 73 .1 11 7 35 26 .9 12 2 12 .6 84 4 87 .4 43 1. 5 2 82 3 98 .5 32 0 11 67 .5 15 4 02 32 .5 85 8 Tu us ul a 8 85 3 87 .7 1 24 3 12 .3 22 0 79 59 21 7 9. 2 70 90 .8 9 08 0 86 .9 1 37 2 13 .1 92 7 V ih ti 26 3 92 87 .7 3 71 7 12 .3 1 02 6 85 .1 18 0 14 .9 10 1 32 .6 20 9 67 .4 27 5 19 87 4 10 6 13 98 1 Y pä jä 6 63 0 85 .5 1 12 7 14 .5 15 18 .8 66 81 .2 57 25 .5 16 5 74 .5 6 70 2 83 .1 1 35 8 16 .9 To ta l 77 4 48 2 84 .5 14 1 81 2 15 .5 8 40 7 50 .5 8 25 4 49 .5 1 70 1 14 10 4 27 86 78 4 59 0 83 16 0 49 3 17 Ka ak ko is -S uo m i 07 5 H am in a 36 1 97 82 .4 7 72 7 17 .6 66 3 60 .7 43 0 39 .3 35 3 31 .1 78 3 68 .9 37 2 13 80 .6 8 93 9 19 .4 14 2 Ii tti 34 4 31 86 .8 5 25 6 13 .2 33 0 67 .1 16 1 32 .9 49 17 .4 23 1 82 .6 34 8 10 86 5 64 9 14 15 3 Im at ra 8 74 3 88 .9 1 09 5 11 .1 58 83 .1 12 16 .9 48 54 .5 40 45 .5 8 84 9 88 .5 1 14 6 11 .5 28 5 K ot ka 15 1 20 83 .6 2 96 8 16 .4 24 8 60 .7 16 0 39 .3 21 1 45 25 8 55 15 5 79 82 .1 3 38 7 17 .9 28 6 K ou vo la 14 1 24 2 80 .4 34 3 62 19 .6 1 13 1 45 .3 1 36 7 54 .7 28 8 12 .4 2 03 6 87 .6 14 2 66 1 79 .1 37 7 66 20 .9 40 5 L ap pe en ra nt a 60 3 68 83 12 3 52 17 59 7 49 .6 60 6 50 .4 28 4 23 95 1 77 61 2 48 81 .5 13 9 09 18 .5 41 6 L em i 13 8 38 85 .2 2 39 7 14 .8 74 36 .6 12 8 63 .4 34 12 .7 23 6 87 .3 13 9 46 83 .5 2 76 1 16 .5 44 1 L uu m äk i 44 2 78 75 .1 14 6 75 24 .9 36 5 30 .6 83 0 69 .4 19 1 18 .5 84 1 81 .5 44 8 34 73 .3 16 3 46 26 .7 48 9 M ie hi kk äl ä 25 3 22 80 .2 6 26 3 19 .8 53 5 64 .7 29 2 35 .3 28 9 39 .8 43 8 60 .2 26 1 47 78 .9 6 99 3 21 .1 58 0 P ar ik ka la 35 6 65 82 .8 7 43 2 17 .2 83 27 .6 21 9 72 .4 65 16 .8 32 0 83 .2 35 8 13 81 .8 7 97 1 18 .2 62 4 P yh tä ä- Py tti s 15 5 05 82 .5 3 28 0 17 .5 62 8 74 .9 21 1 25 .1 27 6 29 .1 67 2 70 .9 16 4 09 79 .8 4 16 3 20 .2 68 9 R au tjä rv i 23 7 70 83 .7 4 64 1 16 .3 67 48 .3 71 51 .7 61 30 .7 13 8 69 .3 23 8 98 83 .1 4 85 1 16 .9 70 0 R uo ko la ht i 64 9 20 81 .3 14 9 07 18 .7 38 3 38 .2 62 0 61 .8 23 5 25 .6 68 3 74 .4 65 5 38 80 .2 16 2 10 19 .8 73 9 S av ita ip al e 36 4 40 83 .7 7 11 0 16 .3 25 6 42 .5 34 7 57 .5 12 9 25 38 6 75 36 8 25 82 .4 7 84 3 17 .6 77 5 S uo m en ni em i 20 5 25 85 3 63 2 15 13 2 41 .8 18 4 58 .2 37 18 .2 16 8 81 .8 20 6 95 83 .9 3 98 4 16 .1 83 1 Ta ip al sa ar i 24 5 13 88 .4 3 22 7 11 .6 21 4 53 .4 18 7 46 .6 10 8 31 .2 23 8 68 .8 24 8 35 87 .2 3 65 2 12 .8 93 5 V iro la ht i 21 6 23 83 .7 4 21 9 16 .3 85 1 80 .6 20 5 19 .4 43 5 52 .9 38 8 47 .1 22 9 09 82 .6 4 81 1 17 .4 97 8 Y lä m aa 24 0 18 78 .9 6 42 7 21 .1 23 7 45 .4 28 5 54 .6 14 6 24 .5 44 7 75 .5 24 4 00 77 .3 7 15 9 22 .7 To ta l 64 6 51 7 82 14 1 97 1 18 6 85 4 52 6 31 5 48 3 23 7 25 .9 9 25 3 74 .1 65 6 60 8 80 .6 15 7 53 9 19 .4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 61 Ta bl e 2a . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % Pi rk an m aa 02 0 A ka a 4 49 0 87 .2 65 8 12 .8 13 32 .7 27 67 .3 13 8. 8 13 9 91 .2 4 51 6 84 .6 82 4 15 .4 10 8 H äm ee nk yr ö 25 9 61 81 .7 5 82 0 18 .3 26 4 42 .4 35 8 57 .6 13 3. 7 33 2 96 .3 26 2 37 80 .1 6 50 9 19 .9 14 3 Ik aa lin en 44 5 33 78 12 5 72 22 64 4 36 .9 1 10 2 63 .1 0 0 71 7 10 0 45 1 76 75 .8 14 3 92 24 .2 17 7 J uu pa jo ki 17 1 55 83 .7 3 32 9 16 .3 17 6 45 .7 20 9 54 .3 4 2. 3 17 8 97 .7 17 3 35 82 .3 3 71 6 17 .7 21 1 K an ga sa la 28 9 43 88 .1 3 91 7 11 .9 10 9 31 .7 23 5 68 .3 15 4 37 3 96 29 0 67 86 .5 4 52 4 13 .5 25 0 K ih ni ö 16 8 48 61 .1 10 7 07 38 .9 37 3. 8 93 2 96 .2 1 0. 1 91 7 99 .9 16 8 85 57 .4 12 5 55 42 .6 28 9 K uh m al ah ti 10 2 40 82 2 24 3 18 82 43 .5 10 6 56 .5 7 9. 3 65 90 .7 10 3 28 81 .1 2 41 4 18 .9 31 0 K yl m äk os ki 9 17 3 85 .3 1 57 9 14 .7 26 15 .2 14 4 84 .8 37 19 .7 14 9 80 .3 9 23 5 83 .1 1 87 2 16 .9 41 8 L em pä äl ä 15 7 19 90 .7 1 60 8 9. 3 67 42 .2 92 57 .8 1 0. 4 23 0 99 .6 15 7 87 89 .1 1 93 0 10 .9 50 8 M än ttä -V ilp pu la 36 6 72 83 .9 7 01 8 16 .1 30 4 46 .2 35 5 53 .8 1 0. 2 27 1 99 .8 36 9 77 82 .9 7 64 4 17 .1 53 6 N ok ia 17 2 90 90 .9 1 72 8 9. 1 10 2 47 .8 11 1 52 .2 3 0. 9 27 9 99 .1 17 3 94 89 .1 2 11 8 10 .9 56 2 O riv es i 54 4 68 86 .5 8 52 0 13 .5 41 4 45 .6 49 4 54 .4 0 0 55 2 10 0 54 8 82 85 .2 9 56 6 14 .8 58 1 P ar ka no 41 3 36 62 .9 24 4 19 37 .1 20 4 6. 5 2 91 8 93 .5 14 0. 5 3 05 1 99 .5 41 5 54 57 .8 30 3 88 42 .2 60 4 P irk ka la 4 67 7 92 .7 36 7 7. 3 17 43 .1 22 56 .9 1 1. 7 65 98 .3 4 69 5 91 .2 45 4 8. 8 61 9 P un ka la id un 14 6 08 80 .1 3 62 1 19 .9 18 1 38 .3 29 2 61 .7 2 0. 2 78 9 99 .8 14 7 91 75 .9 4 70 2 24 .1 63 5 P äl kä ne 35 8 02 87 .9 4 91 9 12 .1 18 2 49 .9 18 3 50 .1 34 10 .5 29 3 89 .5 36 0 18 87 5 39 5 13 70 2 R uo ve si 54 1 38 85 .7 9 05 0 14 .3 56 2 48 .2 60 5 51 .8 0 0 1 10 8 10 0 54 7 00 83 .6 10 7 62 16 .4 79 0 S as ta m al a 75 8 10 86 .9 11 4 16 13 .1 1 19 2 57 .5 88 0 42 .5 90 7. 9 1 05 8 92 .1 77 0 92 85 .2 13 3 54 14 .8 83 7 Ta m pe re 33 4 14 87 .8 4 63 1 12 .2 26 0 50 .7 25 3 49 .3 75 16 .6 38 0 83 .4 33 7 50 86 .5 5 26 4 13 .5 88 7 U rja la 23 6 19 82 .2 5 11 9 17 .8 11 9 19 .5 49 2 80 .5 25 2. 5 95 2 97 .5 23 7 63 78 .4 6 56 3 21 .6 90 8 V al ke ak os ki 14 0 26 87 .6 1 98 7 12 .4 31 20 .1 12 4 79 .9 10 3 31 1 97 14 0 66 85 .3 2 42 2 14 .7 92 2 V es ila ht i 17 6 56 88 .6 2 26 1 11 .4 91 45 11 1 55 33 8. 4 36 0 91 .6 17 7 79 86 .7 2 73 2 13 .3 93 6 V irr at 68 0 48 73 .5 24 5 87 26 .5 26 4 11 .6 2 01 3 88 .4 10 0. 3 3 48 9 99 .7 68 3 23 69 .4 30 0 89 30 .6 98 0 Y lö jä rv i 70 6 14 78 .5 19 3 37 21 .5 59 3 26 .5 1 64 5 73 .5 0 0 1 73 8 10 0 71 2 07 75 .8 22 7 20 24 .2 To ta l 73 5 23 9 81 .1 17 1 41 1 18 .9 5 93 3 30 .2 13 7 02 69 .8 38 9 2. 1 17 7 96 97 .9 74 1 56 1 78 .5 20 2 90 8 21 .5 Et el ä- Sa vo 04 6 E no nk os ki 23 1 33 88 .3 3 05 6 11 .7 13 3 65 .2 71 34 .8 80 36 .2 14 1 63 .8 23 3 46 87 .7 3 26 7 12 .3 09 0 H ei nä ve si 76 0 16 83 .4 15 1 05 16 .6 21 7 41 .8 30 2 58 .2 22 8 32 .5 47 4 67 .5 76 4 61 82 .8 15 8 81 17 .2 09 7 H irv en sa lm i 32 8 40 85 .5 5 56 0 14 .5 22 3 42 .3 30 4 57 .7 71 19 .2 29 9 80 .8 33 1 35 84 .3 6 16 4 15 .7 17 1 J or oi ne n 33 4 83 73 .1 12 3 32 26 .9 14 2. 6 52 5 97 .4 46 6. 7 64 8 93 .3 33 5 43 71 .3 13 5 05 28 .7 17 8 J uv a 70 5 58 75 23 4 91 25 47 8 28 .9 1 17 7 71 .1 14 1 10 .6 1 18 7 89 .4 71 1 77 73 .4 25 8 55 26 .6 21 3 K an ga sn ie m i 69 4 17 76 .9 20 8 68 23 .1 10 2 12 .9 69 3 87 .1 12 3 17 .6 57 8 82 .4 69 6 42 75 .9 22 1 39 24 .1 24 6 K er im äk i 35 6 14 78 .2 9 95 7 21 .8 15 5 22 .5 53 4 77 .5 90 14 .5 53 1 85 .5 35 8 59 76 .5 11 0 22 23 .5 49 1 M ik ke li 10 4 91 9 77 .9 29 8 51 22 .1 62 5 24 .6 1 91 4 75 .4 16 7 6. 9 2 23 5 93 .1 10 5 71 1 75 .7 34 0 00 24 .3 50 7 M än ty ha rju 67 6 59 82 .7 14 1 17 17 .3 41 5 37 .7 68 6 62 .3 14 2 17 .3 67 7 82 .7 68 2 16 81 .5 15 4 79 18 .5 58 8 P er tu nm aa 25 4 21 83 5 21 1 17 10 4 35 .7 18 7 64 .3 25 10 .3 21 6 89 .7 25 5 50 82 5 61 4 18 59 3 P ie ks äm äk i 93 3 71 69 .3 41 3 98 30 .7 32 1. 8 1 71 0 98 .2 1 0. 1 1 45 6 99 .9 93 4 05 67 .7 44 5 64 32 .3 61 8 P un ka ha rju 32 8 91 83 .4 6 54 7 16 .6 14 0 41 .6 19 6 58 .4 90 20 .9 34 0 79 .1 33 1 21 82 .4 7 08 4 17 .6 62 3 P uu m al a 62 1 23 89 .6 7 20 3 10 .4 53 4 58 .7 37 5 41 .3 13 8 19 .5 56 7 80 .5 62 7 94 88 .5 8 14 5 11 .5 68 1 R an ta sa lm i 35 9 04 80 .9 8 46 1 19 .1 12 4 29 .7 29 3 70 .3 10 1 14 .8 58 2 85 .2 36 1 28 79 .5 9 33 6 20 .5 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 62 Ta bl e 2a . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 69 6 R is tii na 39 3 25 84 .9 7 02 0 15 .1 23 0 51 22 2 49 57 13 .2 37 8 86 .8 39 6 12 83 .9 7 62 0 16 .1 74 0 S av on lin na 89 9 53 86 .2 14 4 03 13 .8 50 7 54 .3 42 6 45 .7 23 6 25 .1 70 5 74 .9 90 6 96 85 .4 15 5 34 14 .6 76 8 S ul ka va 42 8 90 86 7 00 3 14 30 2 55 24 8 45 18 3 40 .8 26 5 59 .2 43 3 76 85 .2 7 51 6 14 .8 To ta l 93 5 51 7 80 .2 23 1 58 2 19 .8 4 33 5 30 .5 9 86 5 69 .5 1 91 9 14 .5 11 2 79 85 .5 94 1 77 1 78 .8 25 2 72 6 21 .2 Et el ä- Po hj an m aa 00 5 A la jä rv i 46 5 29 62 .2 28 2 82 37 .8 40 5 9. 8 3 73 7 90 .2 0 0 2 86 6 10 0 46 9 33 57 .4 34 8 85 42 .6 01 0 A la vu s 35 9 78 66 .4 18 2 22 33 .6 18 1 6. 2 2 75 3 93 .8 1 0 2 53 7 10 0 36 1 60 60 .6 23 5 12 39 .4 05 2 E vi jä rv i 12 8 47 54 .7 10 6 44 45 .3 19 6 8. 5 2 10 7 91 .5 22 1. 1 2 01 7 98 .9 13 0 64 46 .9 14 7 68 53 .1 07 4 H al su a 14 8 35 55 .5 11 8 82 44 .5 28 4 7. 5 3 49 3 92 .5 60 1. 5 3 93 2 98 .5 15 1 79 44 19 3 07 56 09 5 H im an ka 11 3 61 61 .6 7 07 8 38 .4 22 9 18 .5 1 00 9 81 .5 52 8. 1 58 9 91 .9 11 6 41 57 .3 8 67 6 42 .7 14 5 Il m aj ok i 23 3 85 69 .4 10 2 90 30 .6 32 4 30 .1 75 3 69 .9 14 1. 9 73 2 98 .1 23 7 24 66 .8 11 7 76 33 .2 15 1 Is oj ok i 28 2 29 61 .6 17 5 63 38 .4 35 0 12 .4 2 46 4 87 .6 5 0. 1 5 45 6 99 .9 28 5 84 52 .9 25 4 83 47 .1 15 2 Is ok yr ö 12 4 64 65 .5 6 57 9 34 .5 26 1 20 .6 1 00 7 79 .4 44 4. 8 86 8 95 .2 12 7 68 60 .2 8 45 4 39 .8 16 4 J al as jä rv i 32 3 22 64 .8 17 5 58 35 .2 17 3 6. 8 2 37 0 93 .2 2 0 3 05 8 10 0 32 4 97 58 .6 22 9 86 41 .4 21 7 K an nu s 16 2 37 50 .3 16 0 58 49 .7 16 8 6 2 62 8 94 28 1. 6 1 76 6 98 .4 16 4 33 44 .6 20 4 52 55 .4 21 8 K ar ijo ki 7 69 9 62 .9 4 54 5 37 .1 86 13 .8 53 6 86 .2 13 3 43 2 97 7 79 8 58 .6 5 51 3 41 .4 23 2 K au ha jo ki 49 0 61 60 .1 32 5 72 39 .9 59 1 9. 7 5 48 1 90 .3 5 0. 1 9 43 7 99 .9 49 6 58 51 .1 47 4 90 48 .9 23 3 K au ha va 49 0 37 65 .2 26 1 88 34 .8 1 70 9 26 .3 4 78 0 73 .7 92 2. 5 3 65 6 97 .5 50 8 39 59 .5 34 6 24 40 .5 23 6 K au st in en 12 9 80 55 .9 10 2 38 44 .1 19 8 8. 9 2 03 5 91 .1 23 1 2 29 1 99 13 2 01 47 .5 14 5 64 52 .5 27 2 K ok ko la -K ar le by 59 6 58 61 .8 36 9 00 38 .2 1 16 3 14 .5 6 85 3 85 .5 17 4 1. 9 9 01 7 98 .1 60 9 96 53 .6 52 7 70 46 .4 30 0 K uo rta ne 21 7 09 65 .4 11 4 82 34 .6 21 3 15 1 20 8 85 0 0 1 03 7 10 0 21 9 22 61 .5 13 7 26 38 .5 30 1 K ur ik ka 39 5 59 66 .8 19 6 93 33 .2 43 0 15 .4 2 35 4 84 .6 56 2. 5 2 18 5 97 .5 40 0 45 62 .3 24 2 32 37 .7 39 9 L ai hi a 20 5 39 62 .8 12 1 54 37 .2 18 0 11 .1 1 44 3 88 .9 40 1. 6 2 38 7 98 .4 20 7 58 56 .5 15 9 84 43 .5 40 3 L ap pa jä rv i 16 3 42 57 .7 11 9 73 42 .3 38 6 15 .1 2 17 8 84 .9 31 2 1 52 3 98 16 7 58 51 .7 15 6 74 48 .3 40 8 L ap ua 25 4 48 61 16 2 91 39 56 0 16 .4 2 86 0 83 .6 50 2 2 45 6 98 26 0 58 54 .7 21 6 07 45 .3 42 1 L es tij är vi 19 3 79 56 .7 14 7 82 43 .3 28 1 7. 7 3 35 9 92 .3 0 0 6 24 2 10 0 19 6 60 44 .6 24 3 83 55 .4 58 4 P er ho 29 6 34 59 20 5 98 41 32 3 5 6 10 8 95 6 0. 1 9 32 3 99 .9 29 9 63 45 .4 36 0 30 54 .6 74 3 S ei nä jo ki 56 0 85 64 .3 31 1 76 35 .7 53 1 10 .5 4 51 5 89 .5 0 0 6 21 5 10 0 56 6 15 57 .5 41 9 05 42 .5 75 9 S oi ni 26 7 22 62 .9 15 7 46 37 .1 10 5 4. 3 2 35 2 95 .7 0 0 2 55 2 10 0 26 8 27 56 .5 20 6 51 43 .5 84 6 Te uv a 23 4 90 64 .9 12 6 83 35 .1 33 0 14 .5 1 95 1 85 .5 65 3. 2 1 98 4 96 .8 23 8 85 59 16 6 18 41 84 9 To ho la m pi 20 9 11 55 .5 16 7 37 44 .5 81 2. 1 3 78 9 97 .9 1 0 6 88 3 10 0 20 9 92 43 .4 27 4 09 56 .6 86 3 Tö ys ä 16 1 30 72 .1 6 23 0 27 .9 21 6 25 .1 64 4 74 .9 0 0 38 3 10 0 16 3 46 69 .3 7 25 8 30 .7 92 4 V et el i 16 7 49 53 .2 14 7 28 46 .8 20 9 6. 3 3 11 8 93 .7 29 0. 6 4 99 0 99 .4 16 9 87 42 .7 22 8 36 57 .3 93 4 V im pe li 10 5 24 58 .2 7 55 1 41 .8 17 8 10 .5 1 50 9 89 .5 24 1. 7 1 42 4 98 .3 10 7 26 50 .6 10 4 85 49 .4 94 2 V äh äk yr ö 7 14 9 79 .8 1 81 0 20 .2 57 41 .1 81 58 .9 16 13 .7 10 4 86 .3 7 22 2 78 .4 1 99 5 21 .6 98 9 Ä ht är i 42 7 25 64 .5 23 5 17 35 .5 12 5 5. 2 2 26 5 94 .8 0 0 1 57 7 10 0 42 8 50 61 27 3 59 39 To ta l 80 5 71 7 62 .1 49 1 75 3 37 .9 10 5 21 11 .4 81 7 41 88 .6 85 2 0. 8 99 9 17 99 .2 81 7 09 1 54 .8 67 3 41 2 45 .2 Ke sk i-S uo m i 07 7 H an ka sa lm i 34 5 84 77 .7 9 90 6 22 .3 25 10 .3 22 1 89 .7 10 7 43 .5 13 9 56 .5 34 7 16 77 .2 10 2 67 22 .8 17 2 J ou ts a 58 3 26 81 .2 13 5 36 18 .8 17 0 27 .9 44 0 72 .1 28 4. 1 66 1 95 .9 58 5 24 80 14 6 37 20 17 9 J yv äs ky lä 82 1 84 87 .7 11 4 81 12 .3 25 4 51 24 4 49 54 14 .4 31 9 85 .6 82 4 92 87 .3 12 0 44 12 .7 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 63 Ta bl e 2a . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 18 2 J äm sä 10 7 05 7 82 .6 22 5 20 17 .4 18 9 26 .1 53 4 73 .9 78 13 .1 51 8 86 .9 10 7 32 4 82 23 5 72 18 21 6 K an no nk os ki 29 0 29 74 .5 9 94 1 25 .5 20 0 30 .9 44 5 69 .1 2 0. 6 34 0 99 .4 29 2 31 73 .2 10 7 26 26 .8 22 6 K ar st ul a 43 8 52 62 .1 26 7 88 37 .9 22 8 7. 8 2 69 8 92 .2 0 0 3 09 1 10 0 44 0 80 57 .5 32 5 77 42 .5 24 9 K eu ru u 78 6 22 73 .9 27 7 77 26 .1 62 0 23 .2 2 05 6 76 .8 1 0 1 45 9 10 0 79 2 43 71 .7 31 2 92 28 .3 25 6 K in nu la 23 9 46 64 .3 13 2 79 35 .7 24 4 11 .2 1 92 6 88 .8 47 3. 3 1 39 6 96 .7 24 2 37 59 .3 16 6 01 40 .7 26 5 K iv ijä rv i 29 6 04 71 .5 11 8 21 28 .5 21 3 15 .3 1 18 5 84 .7 16 1 1 54 0 99 29 8 33 67 .2 14 5 45 32 .8 27 5 K on ne ve si 36 2 97 82 .2 7 87 2 17 .8 8 3. 7 21 3 96 .3 6 1. 6 35 4 98 .4 36 3 11 81 .1 8 43 9 18 .9 29 1 K uh m oi ne n 49 2 02 86 .8 7 46 4 13 .2 16 7 48 .6 17 7 51 .4 66 45 .6 79 54 .4 49 4 35 86 .5 7 72 0 13 .5 31 2 K yy jä rv i 19 1 38 56 .2 14 9 21 43 .8 11 6 5. 1 2 15 0 94 .9 0 0 2 71 0 10 0 19 2 54 49 .3 19 7 82 50 .7 41 0 L au ka a 42 1 83 86 .8 6 41 3 13 .2 10 1 42 .3 13 8 57 .7 10 4 37 .7 17 1 62 .3 42 3 88 86 .3 6 72 3 13 .7 43 5 L uh an ka 16 4 34 92 1 43 8 8 83 76 .6 25 23 .4 20 23 .8 63 76 .2 16 5 37 91 .5 1 52 6 8. 5 49 5 M ul tia 41 2 07 64 .8 22 4 26 35 .2 19 5 9. 7 1 81 5 90 .3 3 0. 2 1 37 7 99 .8 41 4 05 61 .8 25 6 19 38 .2 50 0 M uu ra m e 10 3 38 90 .8 1 05 4 9. 2 19 45 .3 23 54 .7 6 19 .7 26 80 .3 10 3 64 90 .4 1 10 3 9. 6 59 2 P et äj äv es i 30 1 39 79 .7 7 67 6 20 .3 20 6. 2 29 7 93 .8 30 13 .6 19 1 86 .4 30 1 88 78 .7 8 16 4 21 .3 60 1 P ih tip ud as 55 4 05 62 .5 33 2 45 37 .5 38 0 15 .2 2 12 5 84 .8 3 0. 1 3 14 2 99 .9 55 7 88 59 .2 38 5 12 40 .8 72 9 S aa rij är vi 73 6 25 71 .2 29 7 70 28 .8 30 1 14 1 84 5 86 4 0. 3 1 62 7 99 .7 73 9 30 69 33 2 42 31 85 0 To iva kk a 25 5 91 85 4 52 2 15 15 8 58 .5 11 2 41 .5 37 20 14 8 80 25 7 86 84 .4 4 78 1 15 .6 89 2 U ur ai ne n 21 7 37 76 .4 6 71 2 23 .6 25 6. 2 38 1 93 .8 35 13 .9 21 7 86 .1 21 7 97 74 .9 7 31 0 25 .1 93 1 V iit as aa ri 87 4 33 81 20 4 47 19 26 7 19 .6 1 09 6 80 .4 2 0. 2 96 1 99 .8 87 7 01 79 .6 22 5 05 20 .4 99 2 Ä än ek os ki 61 9 95 82 .3 13 3 74 17 .7 38 7. 4 47 7 92 .6 3 1 35 1 99 62 0 37 81 .4 14 2 01 18 .6 To ta l 1 05 7 92 8 76 .5 32 4 38 3 23 .5 4 02 2 16 .3 20 6 25 83 .7 65 2 3 20 8 80 97 1 06 2 60 2 74 .4 36 5 88 8 25 .6 Po hj oi s- Sa vo 14 0 Ii sa lm i 43 5 22 78 .4 11 9 69 21 .6 96 22 .3 33 3 77 .7 2 0. 7 33 4 99 .3 43 6 20 77 .5 12 6 37 22 .5 17 4 J ua nk os ki 28 7 60 80 .5 6 97 7 19 .5 29 9. 3 28 1 90 .7 59 17 .7 27 7 82 .3 28 8 48 79 .3 7 53 4 20 .7 20 4 K aa vi 43 9 59 75 .3 14 4 47 24 .7 17 2. 2 76 5 97 .8 19 1 27 .8 49 7 72 .2 44 1 67 73 .8 15 7 09 26 .2 22 7 K ar ttu la 32 4 15 78 .4 8 93 6 21 .6 10 2. 6 38 5 97 .4 2 0. 6 28 9 99 .4 32 4 27 77 .1 9 61 1 22 .9 23 9 K ei te le 28 8 53 70 .3 12 1 92 29 .7 43 5. 8 69 8 94 .2 1 0. 2 34 1 99 .8 28 8 97 68 .6 13 2 30 31 .4 26 3 K iu ru ve si 60 0 08 61 .2 38 1 15 38 .8 13 8 3. 9 3 45 8 96 .1 9 0. 5 1 90 2 99 .5 60 1 55 58 43 4 76 42 29 7 K uo pi o 78 9 99 88 .9 9 85 2 11 .1 34 14 .5 19 7 85 .5 39 7 52 0 93 79 0 71 88 .2 10 5 69 11 .8 40 2 L ap in la ht i 34 1 22 74 .5 11 6 54 25 .5 64 13 .6 40 5 86 .4 0 0 32 3 10 0 34 1 86 73 .4 12 3 82 26 .6 42 0 L ep pä vi rta 79 3 46 84 .3 14 7 88 15 .7 54 14 .3 32 4 85 .7 57 8. 1 64 5 91 .9 79 4 56 83 .5 15 7 56 16 .5 47 6 M aa ni nk a 27 3 97 80 .5 6 64 5 19 .5 41 15 .5 22 3 84 .5 7 1. 8 36 3 98 .2 27 4 44 79 .1 7 23 1 20 .9 53 4 N ils iä 43 8 51 78 .7 11 8 84 21 .3 83 14 .2 49 9 85 .8 25 4. 4 55 5 95 .6 43 9 59 77 .3 12 9 38 22 .7 59 5 P ie la ve si 65 3 95 69 .9 28 1 60 30 .1 57 3. 5 1 55 5 96 .5 0 0 1 23 5 10 0 65 4 52 67 .9 30 9 49 32 .1 68 6 R au ta la m pi 36 0 13 80 8 99 2 20 40 10 .8 32 8 89 .2 9 3. 2 27 5 96 .8 36 0 62 79 9 59 6 21 68 7 R au ta va ar a 56 3 74 59 .4 38 4 52 40 .6 71 1. 4 4 91 8 98 .6 12 2 2. 4 4 92 6 97 .6 56 5 67 53 .9 48 2 96 46 .1 74 9 S iili nj är vi 23 1 33 85 .3 3 98 4 14 .7 45 30 .6 10 2 69 .4 19 9. 7 18 0 90 .3 23 1 98 84 .5 4 26 6 15 .5 76 2 S on ka jä rv i 72 1 03 61 .3 45 4 76 38 .7 12 4 2. 3 5 27 0 97 .7 94 2 4 69 3 98 72 3 21 56 .6 55 4 39 43 .4 77 8 S uo ne nj ok i 44 2 12 72 .7 16 6 09 27 .3 13 2. 3 57 5 97 .7 0 0 46 4 10 0 44 2 25 71 .5 17 6 49 28 .5 84 4 Te rv o 23 5 36 79 .2 6 16 9 20 .8 29 13 19 8 87 15 6. 1 23 7 93 .9 23 5 81 78 .1 6 60 4 21 .9 85 7 Tu us ni em i 38 2 95 85 .3 6 60 8 14 .7 20 8. 7 20 8 91 .3 5 1. 8 29 4 98 .2 38 3 20 84 .3 7 11 1 15 .7 91 5 V ar ka us 26 6 61 84 .8 4 77 6 15 .2 10 9. 2 10 0 90 .8 13 3. 5 36 7 96 .5 26 6 84 83 .6 5 24 2 16 .4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 64 Ta bl e 2a . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 91 6 V ar pa is jä rv i 27 6 01 72 .3 10 5 77 27 .7 39 6. 3 57 5 93 .7 24 4. 4 52 3 95 .6 27 6 64 70 .3 11 6 75 29 .7 92 1 V es an to 28 2 20 79 .7 7 20 5 20 .3 31 9. 2 31 1 90 .8 1 0. 4 15 8 99 .6 28 2 52 78 .6 7 67 5 21 .4 92 5 V ie re m ä 45 8 46 64 25 7 55 36 81 3. 6 2 17 6 96 .4 15 0. 7 1 97 9 99 .3 45 9 41 60 .6 29 9 10 39 .4 To ta l 98 8 61 9 73 .8 35 0 22 3 26 .2 1 16 9 4. 7 23 8 86 95 .3 70 9 3. 2 21 3 75 96 .8 99 0 49 8 71 .5 39 5 48 4 28 .5 Po hj oi s- Ka rja la 14 6 Il om an ts i 13 5 16 7 61 .6 84 3 31 38 .4 28 1 1. 9 14 6 10 98 .1 24 2 1 23 7 92 99 13 5 69 0 52 .5 12 2 73 4 47 .5 16 7 J oe ns uu 14 5 40 8 73 .4 52 7 54 26 .6 11 4 3. 6 3 04 7 96 .4 10 6 2. 3 4 40 4 97 .7 14 5 62 7 70 .8 60 2 06 29 .2 17 6 J uu ka 85 6 38 67 .4 41 4 85 32 .6 91 2. 9 3 04 3 97 .1 98 2. 5 3 74 5 97 .5 85 8 27 64 48 2 74 36 24 8 K es äl ah ti 23 6 10 73 .9 8 33 2 26 .1 12 3. 4 32 8 96 .6 24 3. 6 63 7 96 .4 23 6 45 71 .8 9 29 7 28 .2 26 0 K ite e 49 6 46 72 .8 18 5 32 27 .2 11 1. 6 67 8 98 .4 44 3. 2 1 31 3 96 .8 49 7 00 70 .8 20 5 24 29 .2 27 6 K on tio la ht i 49 1 91 73 .5 17 7 53 26 .5 69 7. 1 91 0 92 .9 41 3. 3 1 20 9 96 .7 49 3 01 71 .3 19 8 72 28 .7 30 9 O ut ok um pu 26 5 78 74 .5 9 10 7 25 .5 34 7. 7 40 6 92 .3 28 5. 4 48 6 94 .6 26 6 40 72 .7 9 99 9 27 .3 42 2 L ie ks a 20 3 08 6 69 .6 88 6 41 30 .4 75 4 6. 2 11 3 25 93 .8 23 3 1. 8 12 4 68 98 .2 20 4 07 3 64 .5 11 2 43 4 35 .5 42 6 L ip er i 44 5 35 83 .9 8 57 2 16 .1 54 13 .3 35 5 86 .7 36 5. 7 60 3 94 .3 44 6 26 82 .4 9 53 0 17 .6 54 1 N ur m es 94 7 31 68 .1 44 2 85 31 .9 22 4 5. 8 3 61 3 94 .2 25 8 8. 6 2 73 7 91 .4 95 2 13 65 .3 50 6 35 34 .7 60 7 P ol vi jä rv i 42 0 73 67 .6 20 1 58 32 .4 52 4. 6 1 07 9 95 .4 20 0. 9 2 29 0 99 .1 42 1 46 64 .2 23 5 28 35 .8 70 7 R ää kk yl ä 25 0 45 75 .9 7 96 9 24 .1 32 9. 1 32 1 90 .9 40 4. 4 86 6 95 .6 25 1 17 73 .3 9 15 7 26 .7 84 8 To hm aj är vi 43 8 54 67 .2 21 4 41 32 .8 57 4. 3 1 26 5 95 .7 34 2. 5 1 35 4 97 .5 43 9 45 64 .6 24 0 60 35 .4 91 1 V al tim o 45 8 57 66 .9 22 7 28 33 .1 38 2. 5 1 49 3 97 .5 86 8. 5 93 2 91 .5 45 9 82 64 .6 25 1 54 35 .4 To ta l 1 01 4 41 8 69 .5 44 6 09 0 30 .5 1 82 4 4. 1 42 4 73 95 .9 1 29 0 2. 2 56 8 38 97 .8 1 01 7 53 2 65 .1 54 5 40 2 34 .9 Ka in uu 10 5 H yr yn sa lm i 75 0 76 65 .4 39 7 79 34 .6 41 5 3. 1 12 8 01 96 .9 17 6 2. 1 8 07 9 97 .9 75 6 66 55 .5 60 6 60 44 .5 20 5 K aj aa ni 80 0 35 54 .7 66 3 03 45 .3 14 9 1. 2 12 0 11 98 .8 10 3 1. 1 9 01 9 98 .9 80 2 86 47 .9 87 3 32 52 .1 29 0 K uh m o 24 5 61 5 62 .9 14 4 63 9 37 .1 83 7 2. 5 33 1 83 97 .5 22 1 0. 7 32 7 81 99 .3 24 6 67 2 53 .9 21 0 60 3 46 .1 57 8 P al ta m o 50 5 59 64 .7 27 5 55 35 .3 25 6 6. 4 3 76 1 93 .6 90 3. 6 2 44 4 96 .4 50 9 05 60 .1 33 7 59 39 .9 62 0 P uo la nk a 13 0 12 7 67 .1 63 8 89 32 .9 78 6 3. 1 24 6 07 96 .9 29 8 1. 6 18 0 59 98 .4 13 1 21 1 55 .2 10 6 55 5 44 .8 69 7 R is tij är vi 47 4 42 68 22 3 30 32 36 3 6. 7 5 04 8 93 .3 91 2. 6 3 45 9 97 .4 47 8 97 60 .8 30 8 37 39 .2 76 5 S ot ka m o 13 9 71 3 61 .7 86 7 66 38 .3 27 0 2. 4 10 9 16 97 .6 16 3 2 7 89 3 98 14 0 14 6 57 10 5 57 5 43 77 7 S uo m us sa lm i 28 6 78 5 71 .7 11 3 03 2 28 .3 1 10 4 1. 7 62 3 73 98 .3 69 9 1. 5 44 5 40 98 .5 28 8 58 7 56 .7 21 9 94 5 43 .3 78 5 V aa la 41 6 66 47 .2 46 5 20 52 .8 41 6 3. 2 12 5 26 96 .8 0 0 14 1 86 10 0 42 0 82 36 .5 73 2 32 63 .5 To ta l 1 09 7 01 8 64 .2 61 0 81 1 35 .8 4 59 5 2. 5 17 7 22 6 97 .5 1 84 0 1. 3 14 0 46 1 98 .7 1 10 3 45 3 54 .3 92 8 49 8 45 .7 Po hj oi s- Po hj an m aa 00 9 A la vi es ka 9 28 7 58 .2 6 66 5 41 .8 26 0 20 .6 1 00 3 79 .4 15 1. 8 81 6 98 .2 9 56 2 53 8 48 5 47 06 9 H aa pa jä rv i 32 5 61 55 .7 25 8 75 44 .3 21 9 9 2 20 7 91 0 0 2 12 8 10 0 32 7 80 52 30 2 11 48 07 1 H aa pa ve si 36 5 42 47 .8 39 8 50 52 .2 34 0 5. 7 5 67 3 94 .3 0 0 4 35 4 10 0 36 8 82 42 .5 49 8 77 57 .5 07 2 H ai lu ot o 10 7 89 78 .2 3 01 4 21 .8 49 6 39 .6 75 8 60 .4 50 5. 6 84 6 94 .4 11 3 36 71 .1 4 61 7 28 .9 08 4 H au ki pu da s 19 1 95 62 .8 11 3 72 37 .2 24 3 7. 3 3 09 6 92 .7 12 9 3. 6 3 41 8 96 .4 19 5 68 52 .2 17 8 86 47 .8 13 9 Ii 58 4 80 56 .4 45 1 72 43 .6 98 8 6. 5 14 3 04 93 .5 16 7 0. 9 19 4 01 99 .1 59 6 35 43 .1 78 8 77 56 .9 20 8 K al aj ok i 25 1 16 54 .9 20 6 71 45 .1 1 12 2 24 .6 3 43 7 75 .4 60 3. 6 1 62 8 96 .4 26 2 98 50 .5 25 7 36 49 .5 24 4 K em pe le 3 46 4 58 .5 2 45 5 41 .5 34 6. 6 48 7 93 .4 21 3. 8 51 5 96 .2 3 51 9 50 .5 3 45 6 49 .5 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 65 Ta bl e 2a . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 25 5 K iim in ki 13 5 20 58 .9 9 44 3 41 .1 88 3. 2 2 67 8 96 .8 20 0. 7 2 76 7 99 .3 13 6 28 47 .8 14 8 89 52 .2 30 5 K uu sa m o 28 6 80 2 81 .6 64 8 19 18 .4 3 91 4 5. 3 69 6 73 94 .7 50 3 1 49 0 83 99 29 1 21 9 61 .3 18 3 57 5 38 .7 31 7 K är sä m äk i 25 1 57 48 .2 27 0 89 51 .8 17 1 4. 2 3 88 9 95 .8 19 1 1 85 1 99 25 3 47 43 .6 32 8 29 56 .4 42 5 L im in ka 16 4 84 43 .7 21 2 75 56 .3 20 8 3. 5 5 66 4 96 .5 34 0. 4 7 84 8 99 .6 16 7 26 32 .5 34 7 87 67 .5 43 6 L um ijo ki 6 56 7 51 .4 6 21 1 48 .6 10 1 9. 3 99 3 90 .7 35 4 83 5 96 6 70 3 45 .5 8 03 9 54 .5 48 3 M er ijä rv i 9 33 5 54 .6 7 77 2 45 .4 25 8 21 .8 92 4 78 .2 13 3 43 3 97 9 60 6 51 .3 9 12 9 48 .7 49 4 M uh os 24 8 51 50 .7 24 1 60 49 .3 29 8 4 7 09 0 96 4 0 9 88 6 10 0 25 1 52 37 .9 41 1 36 62 .1 53 5 N iva la 19 9 19 65 .2 10 6 13 34 .8 21 3 19 90 7 81 21 2. 6 78 7 97 .4 20 1 53 62 .1 12 3 08 37 .9 56 3 O ul ai ne n 24 6 66 56 .2 19 2 05 43 .8 53 2 16 .6 2 67 6 83 .4 5 0. 3 1 54 4 99 .7 25 2 03 51 .8 23 4 25 48 .2 56 4 O ul u 48 8 42 53 .5 42 4 32 46 .5 22 7 1. 8 12 4 70 98 .2 33 0. 2 16 8 41 99 .8 49 1 03 40 .6 71 7 43 59 .4 56 7 O ul un sa lo 3 45 3 69 1 55 2 31 60 22 21 2 78 37 12 .9 24 9 87 .1 3 55 0 63 .8 2 01 3 36 .2 61 5 P ud as jä rv i 22 0 58 0 60 .1 14 6 38 6 39 .9 2 52 1 3. 6 66 6 54 96 .4 34 2 0. 3 10 3 48 4 99 .7 22 3 44 3 41 .4 31 6 52 4 58 .6 62 5 P yh äj ok i 22 9 12 55 .6 18 3 21 44 .4 70 5 19 .4 2 92 3 80 .6 47 3. 2 1 42 3 96 .8 23 6 64 51 .1 22 6 67 48 .9 62 6 P yh äs al m i 57 0 90 53 .8 48 9 86 46 .2 46 8 8. 5 5 06 4 91 .5 4 0. 1 4 78 3 99 .9 57 5 62 49 .5 58 8 33 50 .5 63 0 P yh än tä 25 1 16 42 .8 33 5 93 57 .2 21 1 3 6 76 0 97 1 0 8 48 1 10 0 25 3 28 34 .2 48 8 34 65 .8 67 8 R aa he 22 8 94 58 .6 16 1 53 41 .4 18 5 6. 2 2 79 8 93 .8 92 4. 6 1 92 0 95 .4 23 1 70 52 .6 20 8 72 47 .4 69 1 R ei sj är vi 20 2 97 58 .8 14 2 26 41 .2 29 8 11 .8 2 22 8 88 .2 2 0. 2 1 30 5 99 .8 20 5 97 53 .7 17 7 60 46 .3 74 6 S ie vi 29 7 35 54 .9 24 4 35 45 .1 67 6 10 6 06 9 90 0 0 4 80 6 10 0 30 4 12 46 .3 35 3 09 53 .7 74 8 S iik aj ok i 33 9 76 48 .9 35 5 39 51 .1 43 0 5. 9 6 81 6 94 .1 25 0. 4 6 71 9 99 .6 34 4 31 41 .2 49 0 74 58 .8 79 1 S iik al at va 65 2 78 42 .1 89 6 85 57 .9 37 0 2. 3 15 7 22 97 .7 0 0 16 9 39 10 0 65 6 47 34 .9 12 2 34 6 65 .1 83 2 Ta iva lko sk i 14 1 13 3 79 .4 36 6 06 20 .6 2 40 5 7. 9 28 0 80 92 .1 43 4 1. 6 26 5 04 98 .4 14 3 97 2 61 .2 91 1 90 38 .8 85 9 Ty rn äv ä 13 4 62 47 .7 14 7 65 52 .3 18 8 4. 5 3 99 1 95 .5 31 0. 9 3 56 2 99 .1 13 6 81 38 22 3 18 62 88 9 U ta jä rv i 49 0 32 45 .8 57 9 39 54 .2 50 0 2. 8 17 4 55 97 .2 0 0 27 8 24 10 0 49 5 31 32 .4 10 3 21 8 67 .6 92 6 V ih an ti 15 4 65 44 .5 19 3 14 55 .5 13 0 3. 7 3 33 3 96 .3 0 0 2 31 7 10 0 15 5 95 38 .4 24 9 64 61 .6 97 2 Y li- Ii 23 7 57 47 .2 26 5 35 52 .8 17 8 2. 3 7 45 5 97 .7 6 0. 1 9 60 2 99 .9 23 9 41 35 .5 43 5 92 64 .5 97 7 Y liv ie sk a 23 1 75 57 17 4 60 43 41 9 16 .4 2 13 6 83 .6 8 0. 6 1 52 1 99 .4 23 6 03 52 .8 21 1 17 47 .2 To ta l 1 43 8 93 2 59 .3 98 9 58 8 40 .7 19 4 56 5. 8 31 5 62 5 94 .2 2 15 7 0. 6 34 6 42 1 99 .4 1 46 0 54 4 46 .9 1 65 1 63 5 53 .1 La pl an d 04 7 E no nt ek iö 88 2 23 94 .7 4 88 9 5. 3 14 7 48 3 85 .4 25 1 75 14 .6 34 1 96 0 66 17 5 80 0 34 57 7 66 5 73 .7 20 5 86 3 26 .3 14 8 In ar i 69 3 81 0 97 .2 19 8 98 2. 8 29 8 63 7 72 .7 11 2 27 8 27 .3 16 6 89 1 44 .8 20 5 90 6 55 .2 1 15 9 33 8 77 .4 33 8 08 3 22 .6 24 0 K em i 4 81 5 76 .5 1 47 6 23 .5 30 7. 4 37 0 92 .6 27 12 19 7 88 4 87 1 70 .5 2 04 3 29 .5 24 1 K em in m aa 23 1 17 54 .3 19 4 56 45 .7 21 2 4 5 08 6 96 32 0. 4 7 15 7 99 .6 23 3 61 42 .4 31 6 99 57 .6 26 1 K itt ilä 41 7 25 3 88 .7 53 0 45 11 .3 18 8 54 10 .6 15 9 57 4 89 .4 5 46 4 3. 6 14 4 73 2 96 .4 44 1 57 1 55 .3 35 7 35 1 44 .7 27 3 K ol ar i 12 7 84 7 74 44 9 85 26 3 90 7 8 44 8 85 92 87 7 3. 4 24 5 59 96 .6 13 2 63 0 53 .7 11 4 42 9 46 .3 32 0 K em ijä rv i 19 8 35 9 79 .7 50 5 62 20 .3 2 45 9 4. 8 48 3 74 95 .2 87 5 2. 2 39 1 39 97 .8 20 1 69 2 59 .4 13 8 07 5 40 .6 49 8 M uo ni o 11 9 85 5 94 .4 7 13 2 5. 6 10 0 70 30 .2 23 2 79 69 .8 2 14 7 8. 5 23 0 17 91 .5 13 2 07 2 71 .2 53 4 28 28 .8 58 3 P el ko se nn ie m i 86 7 03 74 .1 30 2 62 25 .9 1 60 5 5. 4 27 9 25 94 .6 88 8 2. 7 31 7 81 97 .3 89 1 97 49 .8 89 9 68 50 .2 61 4 P os io 16 2 54 7 80 .2 40 2 02 19 .8 3 28 0 7. 1 42 9 60 92 .9 1 14 5 2. 6 43 0 92 97 .4 16 6 97 2 56 .9 12 6 25 5 43 .1 68 3 R an ua 12 9 57 9 61 .4 81 4 35 38 .6 2 29 0 4. 1 53 3 63 95 .9 86 7 1. 3 63 6 99 98 .7 13 2 73 7 40 .1 19 8 49 8 59 .9 69 8 R ov an ie m i 41 3 03 4 76 .2 12 8 81 3 23 .8 6 69 9 5. 7 11 0 43 5 94 .3 1 28 4 1. 8 71 6 08 98 .2 42 1 01 7 57 .5 31 0 85 7 42 .5 73 2 S al la 30 2 26 0 83 .5 59 5 61 16 .5 33 7 24 30 .8 75 6 77 69 .2 8 42 6 9. 2 82 9 45 90 .8 34 4 41 0 61 .2 21 8 18 3 38 .8 74 2 S av uk os ki 39 4 54 2 90 .5 41 5 16 9. 5 25 0 61 24 79 4 72 76 5 36 0 5. 8 87 1 43 94 .2 42 4 96 3 67 .1 20 8 13 1 32 .9 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 66 Ta bl e 2a . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 75 1 S im o 44 6 34 52 .2 40 8 64 47 .8 88 2 4. 6 18 4 25 95 .4 14 8 0. 5 27 1 95 99 .5 45 6 64 34 .6 86 4 84 65 .4 75 8 S od an ky lä 60 2 58 6 90 67 1 84 10 35 9 32 18 .2 16 0 98 9 81 .8 34 4 35 12 .1 24 9 48 2 87 .9 67 2 95 2 58 .5 47 7 65 5 41 .5 84 5 Te rv ol a 54 1 27 50 .4 53 3 21 49 .6 66 6 3. 4 19 0 28 96 .6 23 6 1. 7 13 8 09 98 .3 55 0 29 39 86 1 58 61 85 1 To rn io 43 3 14 54 .8 35 6 67 45 .2 72 0. 6 11 4 27 99 .4 17 4 1. 9 9 24 0 98 .1 43 5 61 43 .6 56 3 34 56 .4 85 4 P el lo 10 3 06 4 76 32 4 72 24 2 95 8 13 .4 19 0 63 86 .6 10 0 1. 1 9 16 5 98 .9 10 6 12 2 63 .6 60 7 00 36 .4 89 0 U ts jo ki 5 96 2 94 .7 33 6 5. 3 10 3 74 8 98 .5 1 57 9 1. 5 32 3 30 6 80 .7 77 1 28 19 .3 43 3 01 7 84 .6 79 0 43 15 .4 97 6 Y lit or ni o 84 2 73 59 .6 57 1 52 40 .4 3 35 1 10 .3 29 2 81 89 .7 39 6 2. 1 18 0 93 97 .9 88 0 20 45 .7 10 4 52 6 54 .3 To ta l 4 09 9 90 5 82 .5 87 0 22 9 17 .5 70 1 92 0 39 .6 1 06 8 64 3 60 .4 89 5 03 6 38 .9 1 40 4 88 8 61 .1 5 69 6 86 0 63 3 34 3 76 1 37 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 67 Table 2b. Area and mean volume of growing stock on mineral soils and peatlands on forest land and forest and poorly productive forest land by forestry centres. Forestry centre Forest land Forest and poorly productive forest land Mineral soil Peatland Total Mineral soil Peatland Total Municipality ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha Åland 035 Brändö 2 441 127.5 310 134.9 2 751 128.4 4 420 97.8 417 122.6 4 836 99.9 043 Eckerö 5 187 153.8 564 149.5 5 751 153.4 6 971 126.3 654 136.9 7 624 127.2 060 Finström 5 966 155.2 608 150.5 6 574 154.8 7 529 132.8 679 140.9 8 208 133.5 062 Föglö 5 669 151.5 461 154.8 6 129 151.7 8 200 121.6 556 136.6 8 756 122.6 065 Geta 2 700 149.0 262 153.8 2 962 149.4 4 869 103.1 340 133.0 5 209 105.0 076 Hammarland 6 491 154.3 715 147.7 7 206 153.7 8 483 129.2 811 137.4 9 294 129.9 170 Jomala 6 768 150.1 739 143.1 7 507 149.4 8 119 133.2 812 135.2 8 931 133.4 295 Kumlinge 1 984 133.1 240 118.9 2 224 131.5 4 324 94.8 408 113.3 4 731 96.4 318 Kökar 265 126.3 39 167.9 304 131.6 741 81.9 342 83.5 1 083 82.4 417 Lemland 5 951 153.7 622 152.1 6 573 153.5 7 361 133.5 689 142.6 8 050 134.3 438 Lumparland 1 623 157.5 164 157.7 1 787 157.5 2 333 125.8 191 142.9 2 525 127.1 478 Mariehamn-Maarianhamina 369 124.4 30 114.6 398 123.6 493 104.2 35 105.7 528 104.3 736 Saltvik 5 456 159.4 558 152.0 6 013 158.7 8 841 118.2 683 134.4 9 524 119.3 766 Sottunga 548 135.4 55 146.4 603 136.4 1 068 97.3 70 131.2 1 138 99.3 771 Sund 4 594 156.4 475 155.4 5 069 156.3 6 815 121.8 558 141.3 7 372 123.2 941 Vårdö 3 197 156.9 270 158.0 3 468 157.0 5 753 109.5 343 137.2 6 096 111.0 Total 59 209 151.8 6 111 148.7 65 320 151.6 86 320 120.4 7 587 133.1 93 907 121.4 Rannikko/Etelärannikko 049 Espoo-Esbo 13 973 158.4 1 743 161.6 15 716 158.8 15 275 150.0 1 818 155.9 17 093 150.6 078 Hanko-Hangö 5 651 164.7 828 164.5 6 479 164.6 7 398 138.2 890 154.9 8 288 140.0 091 Helsinki-Helsingfors 6 445 146.4 799 160.8 7 244 148.0 7 479 132.2 832 154.9 8 311 134.5 092 Vantaa-Vanda 8 879 148.6 1 148 166.4 10 027 150.6 9 378 143.2 1 192 160.9 10 569 145.2 149 Ingå-Inkoo 16 873 146.5 1 997 145.9 18 870 146.5 19 500 134.2 2 140 137.3 21 640 134.5 235 Kauniainen-Grankulla 172 154.5 28 154.6 200 154.5 201 140.1 29 150.7 230 141.5 257 Kirkkonummi-Kyrkslätt 17 700 140.3 2 364 134.7 20 064 139.7 20 254 129.9 2 593 124.1 22 848 129.3 322 Kemiönsaari 31 346 146.2 3 429 143.6 34 775 145.9 42 326 120.1 3 726 134.9 46 052 121.3 407 Lapinjärvi-Lappträsk 15 470 168.9 2 790 163.4 18 260 168.1 15 812 166.5 2 882 158.9 18 694 165.3 424 Liljendal 5 185 163.0 800 161.3 5 985 162.8 5 327 160.1 823 157.4 6 150 159.8 434 Loviisa-Lovisa 2 416 173.4 382 167.0 2 798 172.5 2 546 167.5 394 162.2 2 941 166.8 444 Länsi-Turunmaa 41 894 137.7 2 992 136.7 44 886 137.7 56 964 113.9 3 289 128.6 60 253 114.7 585 Pernå-Pernaja 23 026 166.0 3 967 154.9 26 993 164.3 24 051 161.3 4 151 149.0 28 202 159.5 638 Porvoo-Borgå 32 919 167.6 4 450 155.7 37 369 166.2 34 765 161.8 4 670 149.3 39 435 160.3 701 Ruotsinpyhtää-Strömfors 14 735 162.1 3 375 152.2 18 110 160.2 15 193 158.9 3 513 147.1 18 706 156.7 710 Raasepori 60 283 162.6 8 554 159.5 68 837 162.2 70 126 146.6 9 054 152.3 79 181 147.3 753 Sipoo-Sibbo 16 581 175.7 2 007 171.1 18 588 175.2 17 570 169.1 2 094 164.8 19 664 168.6 755 Siuntio-Sjundeå 11 114 132.4 1 411 145.8 12 525 133.9 12 037 126.5 1 511 137.3 13 548 127.7 Total 324 661 155.6 43 063 154.1 367 725 155.5 376 201 141.1 45 603 147.0 421 804 141.8 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 551 88.9 137 82.1 687 87.6 564 87.1 138 81.5 702 86.0 280 Korsnäs 13 368 109.8 4 428 125.6 17 796 113.7 13 464 109.1 4 800 118.0 18 264 111.5 287 Kristinestad-Kristiinankaupunki 37 090 106.8 12 813 118.5 49 903 109.8 37 910 105.2 13 774 112.0 51 684 107.0 288 Kronoby-Kruunupyy 31 176 101.9 18 720 111.3 49 896 105.4 31 680 100.8 21 052 101.3 52 733 101.0 440 Larsmo-Luoto 8 560 98.7 2 170 118.4 10 730 102.7 8 859 96.9 2 386 109.2 11 245 99.5 475 Malax-Maalahti 25 750 111.0 9 474 119.4 35 224 113.2 26 021 110.0 10 753 108.1 36 774 109.4 499 Korsholm-Mustasaari 47 679 124.2 10 113 133.5 57 791 125.8 48 402 123.2 10 948 125.8 59 351 123.7 545 Närpes-Närpiö 44 557 102.5 20 596 121.1 65 153 108.4 45 072 101.6 22 707 112.2 67 780 105.1 559 Oravais-Oravainen 9 394 97.4 3 694 124.0 13 088 104.9 9 794 94.4 4 020 115.8 13 814 100.7 598 Jakobstad-Pietarsaari 4 145 92.8 1 614 112.0 5 760 98.2 4 303 91.0 1 761 104.1 6 065 94.8 599 Pedersöre-Pedersören kunta 33 863 99.7 21 329 114.2 55 192 105.3 34 477 98.6 23 726 104.8 58 204 101.1 893 Nykarleby-Uusikaarlepyy 29 975 104.1 18 630 121.9 48 605 110.9 31 392 100.6 20 096 115.0 51 488 106.2 905 Vaasa-Vasa 9 939 136.7 1 953 131.1 11 892 135.8 10 077 135.2 2 061 125.9 12 138 133.6 945 Vörå-Maxmo Vöyri-Maksamaa 29 877 107.2 9 130 127.1 39 007 111.9 30 744 104.8 9 866 119.4 40 610 108.4 Total 325 923 108.0 134 802 119.9 460 725 111.5 332 761 106.4 148 089 111.3 480 849 107.9 Lounais-Suomi 019 Aura 3 332 143.7 473 148.0 3 805 144.2 3 530 138.3 521 137.3 4 051 138.2 050 Eura 28 584 140.3 6 174 138.0 34 758 139.9 29 347 138.0 6 942 126.3 36 289 135.8 051 Eurajoki 19 036 136.1 3 152 131.8 22 188 135.5 19 659 133.3 3 412 123.4 23 071 131.9 079 Harjavalta 5 640 137.4 1 681 127.2 7 321 135.1 5 683 136.7 1 825 119.0 7 509 132.4 099 Honkajoki 13 291 89.9 7 799 93.5 21 090 91.2 13 445 89.5 9 010 84.6 22 455 87.5 102 Huittinen 22 122 139.9 4 873 147.4 26 995 141.2 22 295 139.2 5 552 132.0 27 847 137.8 181 Jämijärvi 9 539 110.5 3 756 110.3 13 294 110.5 9 732 109.3 4 046 104.1 13 777 107.8 202 Kaarina 6 089 138.7 510 139.0 6 599 138.7 6 710 130.2 548 133.2 7 257 130.5 214 Kankaanpää 32 340 103.7 15 254 106.3 47 594 104.5 32 847 102.8 17 023 97.8 49 871 101.1 230 Karvia 19 318 94.1 12 432 95.1 31 750 94.5 19 516 93.7 14 605 84.9 34 120 89.9 254 Kiikoinen 7 509 132.7 1 676 120.2 9 185 130.5 7 626 131.3 1 886 109.9 9 512 127.0 271 Kokemäki 23 904 130.0 5 868 135.0 29 772 130.9 24 116 129.2 6 403 125.6 30 520 128.4 284 Koski T.l. 5 924 149.2 1 792 187.5 7 716 158.1 6 187 144.6 1 909 177.7 8 096 152.4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 68 Table 2b. Continued Forestry centre Forest land Forest and poorly productive forest land Mineral soil Peatland Total Mineral soil Peatland Total Municipality ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha 304 Kustavi 7 684 115.5 613 119.2 8 297 115.8 10 866 95.7 741 104.8 11 606 96.2 319 Köyliö 11 160 140.8 3 261 134.2 14 420 139.3 11 371 138.9 4 039 112.4 15 410 132.0 400 Laitila 26 455 128.6 5 047 131.3 31 502 129.0 28 228 123.9 5 984 115.5 34 212 122.4 413 Lavia 18 539 136.6 4 384 119.2 22 923 133.2 19 124 133.7 4 885 110.0 24 009 128.9 423 Lieto 7 437 150.3 988 152.2 8 425 150.5 8 073 142.3 1 084 141.7 9 157 142.2 430 Loimaa 25 770 155.5 6 515 141.6 32 284 152.7 26 509 152.4 7 348 128.9 33 857 147.3 442 Luvia 10 808 167.9 1 370 118.2 12 178 162.3 10 836 167.6 1 470 111.3 12 306 160.9 480 Marttila 7 105 147.1 1 491 137.4 8 596 145.4 7 599 140.6 1 717 122.6 9 316 137.3 481 Masku 8 283 133.1 947 116.0 9 230 131.3 9 286 124.1 1 053 108.1 10 338 122.5 484 Merikarvia 26 251 126.6 7 626 117.2 33 877 124.5 26 409 126.1 8 203 110.6 34 612 122.4 503 Mynämäki 23 518 140.5 5 638 130.2 29 156 138.5 25 300 134.1 6 597 115.2 31 897 130.2 529 Naantali 12 943 131.4 812 126.3 13 755 131.1 17 274 110.7 898 118.8 18 172 111.1 531 Nakkila 7 750 147.2 1 590 126.8 9 339 143.7 7 782 146.7 1 777 115.0 9 559 140.8 537 Noormarkku 19 261 144.5 5 108 131.5 24 370 141.8 19 377 143.8 5 563 122.6 24 940 139.1 538 Nousiainen 8 573 146.8 1 418 137.4 9 991 145.5 9 478 137.4 1 625 123.6 11 103 135.3 561 Oripää 3 840 143.0 1 155 134.4 4 995 141.0 4 184 135.2 1 282 124.0 5 466 132.6 577 Paimio 10 188 147.8 1 328 152.6 11 516 148.4 11 260 138.4 1 439 143.4 12 699 139.0 608 Pomarkku 17 691 151.5 4 849 137.9 22 541 148.6 17 845 150.6 5 304 128.6 23 148 145.5 609 Pori 27 074 151.8 3 869 130.5 30 943 149.1 27 163 151.4 4 095 124.0 31 258 147.8 631 Pyhäranta 8 514 144.0 1 098 132.3 9 612 142.7 9 233 136.6 1 198 124.4 10 430 135.2 636 Pöytyä 32 091 150.9 8 292 131.9 40 383 147.0 34 467 143.8 9 664 116.7 44 131 137.9 680 Raisio 1 796 130.8 135 145.2 1 931 131.8 2 024 121.3 147 137.6 2 171 122.4 684 Rauma 26 979 135.0 3 727 143.0 30 706 136.0 29 877 127.0 4 100 133.2 33 977 127.7 704 Rusko 5 184 148.9 939 145.0 6 124 148.3 5 552 142.3 1 060 131.8 6 612 140.6 734 Salo 89 787 156.3 14 782 150.4 104 569 155.4 98 877 146.3 15 927 142.1 114 804 145.7 738 Sauvo 11 120 141.2 1 021 138.5 12 141 141.0 12 772 129.2 1 092 132.2 13 864 129.4 747 Siikainen 25 217 122.9 9 889 119.8 35 105 122.0 25 364 122.5 10 891 110.9 36 255 119.0 761 Somero 27 578 147.5 5 401 146.9 32 978 147.4 27 950 146.1 5 739 139.8 33 688 145.0 783 Säkylä 8 147 129.5 1 657 125.2 9 804 128.8 8 514 126.1 1 925 111.7 10 439 123.4 833 Taivassalo 6 147 118.9 402 127.6 6 549 119.5 7 701 104.7 458 117.8 8 159 105.5 838 Tarvasjoki 3 695 151.0 434 147.5 4 129 150.6 3 928 144.8 472 138.6 4 400 144.2 853 Turku-Åbo 9 169 134.6 959 145.4 10 129 135.6 10 109 126.3 1 053 136.3 11 161 127.3 886 Ulvila 21 373 140.2 6 329 134.9 27 702 139.0 21 537 139.5 7 007 124.3 28 543 135.8 895 Uusikaupunki 26 120 123.8 2 692 135.4 28 812 124.9 30 270 113.5 3 003 125.7 33 273 114.6 918 Vehmaa 8 766 116.6 884 130.2 9 650 117.9 9 814 109.5 1 002 120.3 10 816 110.5 Total 788 643 137.4 182 087 127.7 970 730 135.6 836 642 132.3 203 522 117.2 1 040 164 129.3 Häme-Uusimaa 015 Artjärvi 8 024 156.7 859 154.8 8 883 156.5 8 160 155.1 896 149.0 9 055 154.5 016 Asikkala 34 923 155.1 5 529 160.1 40 452 155.8 35 311 154.1 5 700 156.2 41 011 154.4 018 Askola 9 755 161.7 1 306 158.0 11 061 161.3 9 938 159.9 1 346 154.0 11 284 159.2 061 Forssa 11 286 159.7 2 024 154.1 13 310 158.9 11 310 159.4 2 278 140.2 13 589 156.2 081 Hartola 37 536 157.4 6 563 146.0 44 099 155.7 37 666 157.3 6 868 141.0 44 534 154.8 082 Hattula 18 671 140.7 4 849 136.5 23 521 139.8 18 805 140.1 5 277 127.3 24 082 137.3 086 Hausjärvi 15 944 143.3 3 028 133.6 18 972 141.7 16 055 142.8 3 391 120.8 19 446 139.0 098 Hollola 25 440 148.7 3 226 152.6 28 666 149.1 25 522 148.5 3 399 145.9 28 921 148.1 103 Humppila 5 890 171.2 1 216 158.8 7 106 169.0 5 921 170.5 1 310 149.8 7 231 166.7 106 Hyvinkää 15 789 148.2 4 019 130.0 19 807 144.5 15 890 147.8 4 357 121.2 20 247 142.1 109 Hämeenlinna 105 265 154.0 23 692 150.6 128 958 153.3 105 674 153.6 24 862 144.6 130 536 151.9 111 Heinola 47 932 154.0 8 192 135.1 56 124 151.2 48 339 153.1 8 393 132.4 56 732 150.0 165 Janakkala 27 236 150.0 6 107 148.3 33 343 149.6 27 389 149.5 6 561 139.3 33 950 147.6 169 Jokioinen 7 094 144.4 755 146.1 7 849 144.6 7 099 144.3 803 139.2 7 903 143.8 186 Järvenpää 1 285 135.7 115 129.4 1 401 135.2 1 320 133.4 120 125.4 1 439 132.8 223 Karjalohja 6 262 129.4 926 149.9 7 188 132.0 6 587 125.7 998 140.7 7 586 127.7 224 Karkkila 13 609 158.5 2 401 153.7 16 011 157.8 13 818 157.1 2 556 145.4 16 374 155.3 245 Kerava 1 098 141.5 122 148.8 1 220 142.2 1 151 137.2 127 144.1 1 277 137.9 283 Hämeenkoski 10 204 145.9 1 371 156.4 11 575 147.1 10 215 145.8 1 429 150.7 11 645 146.4 316 Kärkölä 11 569 139.3 2 257 136.8 13 826 138.9 11 587 139.2 2 533 123.6 14 120 136.4 398 Lahti 6 231 137.8 670 127.5 6 901 136.8 6 283 137.1 769 113.5 7 052 134.5 433 Loppi 34 176 146.7 8 417 135.0 42 593 144.4 34 567 145.7 8 986 127.6 43 553 142.0 444 Lohja 17 265 126.9 1 933 141.4 19 199 128.4 18 024 124.0 2 051 134.9 20 074 125.1 504 Myrskylä-Mörskom 10 042 162.4 1 546 155.5 11 588 161.5 10 237 160.4 1 609 150.1 11 846 159.0 505 Mäntsälä 28 811 156.2 5 666 138.8 34 477 153.3 28 883 156.1 6 041 131.3 34 924 151.8 532 Nastola 18 556 149.6 2 676 133.0 21 232 147.5 18 877 147.9 2 838 127.3 21 715 145.2 540 Nummi-Pusula 24 430 138.7 3 879 146.5 28 309 139.8 25 332 135.8 4 102 139.6 29 434 136.3 543 Nurmijärvi 15 032 131.7 1 877 125.6 16 909 131.0 15 482 129.5 1 997 119.1 17 479 128.3 560 Orimattila 30 610 135.9 3 440 138.9 34 050 136.2 30 864 135.4 3 619 133.0 34 483 135.1 576 Padasjoki 35 149 160.7 7 098 156.1 42 247 159.9 35 422 159.9 7 316 152.1 42 738 158.6 611 Pornainen 6 746 161.3 1 087 141.6 7 832 158.6 6 916 158.8 1 146 135.4 8 062 155.5 616 Pukkila 5 966 154.0 893 147.9 6 859 153.2 6 029 153.1 925 143.4 6 954 151.8 694 Riihimäki 5 775 137.2 1 023 131.0 6 798 136.3 5 802 137.0 1 079 125.6 6 881 135.2 781 Sysmä 47 158 163.3 5 227 148.0 52 384 161.8 47 311 163.2 5 412 144.5 52 723 161.3 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 69 Table 2b. Continued Forestry centre Forest land Forest and poorly productive forest land Mineral soil Peatland Total Mineral soil Peatland Total Municipality ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha 834 Tammela 31 846 162.6 11 735 152.6 43 581 159.9 31 968 162.0 12 579 144.4 44 547 157.0 858 Tuusula 8 853 147.3 1 243 147.5 10 096 147.3 9 073 144.9 1 301 141.8 10 375 144.5 927 Vihti 26 392 150.7 3 717 152.4 30 108 150.9 27 418 147.3 3 897 146.5 31 315 147.2 981 Ypäjä 6 630 162.1 1 127 164.0 7 757 162.4 6 646 161.8 1 193 157.1 7 839 161.1 Total 774 482 151.4 141 812 146.0 916 294 150.6 782 889 150.5 150 066 139.3 932 955 148.7 Kaakkois-Suomi 075 Hamina 36 197 130.8 7 727 135.1 43 924 131.5 36 860 129.1 8 156 128.9 45 016 129.0 142 Iitti 34 431 159.4 5 256 144.6 39 687 157.4 34 761 158.3 5 418 140.9 40 178 156.0 153 Imatra 8 743 150.4 1 095 144.1 9 838 149.7 8 801 149.7 1 106 142.8 9 908 148.9 285 Kotka 15 120 119.0 2 968 117.6 18 088 118.8 15 368 117.8 3 129 112.6 18 497 116.9 286 Kouvola 141 242 152.4 34 362 138.7 175 604 149.7 142 373 151.6 35 729 134.1 178 102 148.1 405 Lappeenranta 60 368 135.9 12 352 131.5 72 720 135.1 60 964 135.0 12 957 126.2 73 922 133.4 416 Lemi 13 838 132.5 2 397 129.5 16 235 132.1 13 911 132.0 2 525 123.7 16 436 130.7 441 Luumäki 44 278 136.9 14 675 134.4 58 953 136.3 44 643 136.1 15 505 128.2 60 149 134.1 489 Miehikkälä 25 322 136.6 6 263 141.9 31 585 137.7 25 857 134.8 6 555 136.3 32 413 135.1 580 Parikkala 35 665 140.7 7 432 130.7 43 098 139.0 35 749 140.4 7 651 127.5 43 400 138.2 624 Pyhtää-Pyttis 15 505 165.5 3 280 147.0 18 785 162.2 16 133 161.1 3 491 139.0 19 624 157.2 689 Rautjärvi 23 770 148.7 4 641 140.8 28 411 147.4 23 836 148.4 4 713 138.9 28 549 146.8 700 Ruokolahti 64 920 143.4 14 907 136.9 79 827 142.2 65 304 142.8 15 527 132.2 80 831 140.8 739 Savitaipale 36 440 129.1 7 110 130.4 43 550 129.3 36 696 128.5 7 457 125.2 44 153 127.9 775 Suomenniemi 20 525 141.2 3 632 130.1 24 157 139.5 20 657 140.6 3 816 125.1 24 474 138.2 831 Taipalsaari 24 513 133.8 3 227 131.6 27 740 133.5 24 727 132.9 3 414 125.6 28 141 132.0 935 Virolahti 21 623 132.5 4 219 132.6 25 842 132.5 22 474 129.7 4 423 127.3 26 897 129.3 978 Ylämaa 24 018 141.5 6 427 147.4 30 444 142.7 24 255 140.5 6 712 141.8 30 966 140.8 Total 646 517 142.3 141 971 136.3 788 488 141.2 653 371 141.3 148 286 131.3 801 657 139.4 Pirkanmaa 020 Akaa 4 490 136.1 658 138.7 5 148 136.4 4 503 135.7 685 134.7 5 188 135.6 108 Hämeenkyrö 25 961 140.8 5 820 131.0 31 781 139.0 26 225 139.9 6 177 125.0 32 402 137.0 143 Ikaalinen 44 533 128.6 12 572 119.8 57 105 126.7 45 176 127.5 13 675 112.3 58 851 124.0 177 Juupajoki 17 155 144.3 3 329 136.7 20 484 143.1 17 331 143.3 3 538 130.3 20 869 141.1 211 Kangasala 28 943 142.0 3 917 143.3 32 859 142.1 29 052 141.6 4 151 136.4 33 203 140.9 250 Kihniö 16 848 117.2 10 707 115.7 27 555 116.6 16 885 117.1 11 638 108.8 28 523 113.7 289 Kuhmalahti 10 240 138.3 2 243 133.8 12 483 137.5 10 321 137.8 2 349 128.7 12 670 136.1 310 Kylmäkoski 9 173 146.5 1 579 159.0 10 752 148.3 9 199 146.1 1 723 148.7 10 922 146.5 418 Lempäälä 15 719 146.4 1 608 155.9 17 328 147.2 15 787 145.8 1 700 148.9 17 487 146.1 508 Mänttä-Vilppula 36 672 155.7 7 018 146.7 43 690 154.3 36 976 154.8 7 373 140.9 44 349 152.5 536 Nokia 17 290 143.8 1 728 129.5 19 018 142.5 17 392 143.1 1 839 123.5 19 231 141.2 562 Orivesi 54 468 150.2 8 520 141.2 62 988 149.0 54 882 149.4 9 014 135.1 63 895 147.4 581 Parkano 41 336 112.1 24 419 110.0 65 755 111.3 41 540 111.8 27 337 100.8 68 877 107.4 604 Pirkkala 4 677 142.9 367 148.9 5 044 143.3 4 694 142.5 389 141.7 5 083 142.4 619 Punkalaidun 14 608 160.7 3 621 156.9 18 229 160.0 14 789 159.2 3 913 147.3 18 702 156.7 635 Pälkäne 35 802 162.9 4 919 147.7 40 721 161.1 35 983 162.5 5 102 143.2 41 085 160.1 702 Ruovesi 54 138 154.1 9 050 137.0 63 188 151.7 54 700 153.0 9 654 130.2 64 354 149.6 790 Sastamala 75 810 139.9 11 416 129.9 87 225 138.6 77 002 138.4 12 296 122.1 89 298 136.2 837 Tampere 33 414 155.2 4 631 145.2 38 046 154.0 33 675 154.3 4 885 138.9 38 559 152.4 887 Urjala 23 619 157.7 5 119 160.5 28 738 158.2 23 739 157.1 5 612 149.1 29 350 155.5 908 Valkeakoski 14 026 150.3 1 987 152.0 16 012 150.5 14 057 150.0 2 111 145.0 16 167 149.3 922 Vesilahti 17 656 148.2 2 261 149.7 19 916 148.4 17 746 147.6 2 372 144.4 20 118 147.2 936 Virrat 68 048 125.3 24 587 122.0 92 635 124.5 68 313 125.1 26 600 114.8 94 913 122.2 980 Ylöjärvi 70 614 145.5 19 337 130.9 89 951 142.4 71 207 144.7 20 982 122.7 92 189 139.7 Total 735 239 142.6 171 411 130.1 906 650 140.3 741 172 141.9 185 113 122.4 926 285 138.0 Etelä-Savo 046 Enonkoski 23 133 144.4 3 056 131.5 26 189 142.9 23 266 143.8 3 127 129.0 26 393 142.0 090 Heinävesi 76 016 139.5 15 105 126.5 91 121 137.4 76 233 139.2 15 407 124.4 91 640 136.8 097 Hirvensalmi 32 840 157.9 5 560 130.7 38 400 154.0 33 063 157.2 5 864 125.0 38 928 152.3 171 Joroinen 33 483 136.3 12 332 131.3 45 815 135.0 33 497 136.3 12 857 126.5 46 354 133.6 178 Juva 70 558 145.7 23 491 130.4 94 049 141.9 71 036 145.0 24 668 125.0 95 704 139.9 213 Kangasniemi 69 417 132.2 20 868 125.6 90 285 130.7 69 519 132.0 21 561 122.1 91 080 129.7 246 Kerimäki 35 614 144.1 9 957 129.0 45 571 140.8 35 769 143.7 10 490 123.6 46 259 139.1 491 Mikkeli 104 919 143.7 29 851 125.6 134 770 139.7 105 544 143.1 31 765 119.0 137 309 137.6 507 Mäntyharju 67 659 147.7 14 117 132.9 81 776 145.1 68 074 147.1 14 803 127.9 82 877 143.7 588 Pertunmaa 25 421 149.9 5 211 135.7 30 632 147.5 25 525 149.5 5 398 131.6 30 923 146.3 593 Pieksämäki 93 371 128.4 41 398 127.8 134 769 128.3 93 403 128.4 43 108 123.3 136 512 126.8 618 Punkaharju 32 891 152.9 6 547 137.4 39 439 150.3 33 031 152.4 6 744 133.9 39 775 149.3 623 Puumala 62 123 136.2 7 203 137.3 69 326 136.3 62 657 135.5 7 578 131.6 70 235 135.0 681 Rantasalmi 35 904 134.4 8 461 127.0 44 365 133.0 36 027 134.1 8 755 123.3 44 782 132.0 696 Ristiina 39 325 150.7 7 020 140.0 46 345 149.1 39 555 150.1 7 242 136.5 46 797 148.0 740 Savonlinna 89 953 145.3 14 403 135.3 104 356 143.9 90 460 144.8 14 829 132.0 105 290 143.0 768 Sulkava 42 890 133.9 7 003 136.1 49 893 134.2 43 193 133.4 7 251 132.2 50 444 133.2 Total 935 517 141.3 231 582 130.0 1 167 100 139.1 939 852 140.9 241 447 125.4 1 181 299 137.7 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 70 Table 2b. Continued Forestry centre Forest land Forest and poorly productive forest land Mineral soil Peatland Total Mineral soil Peatland Total Municipality ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha Etelä-Pohjanmaa 005 Alajärvi 46 529 105.2 28 282 99.8 74 811 103.1 46 933 104.6 32 020 90.9 78 953 99.0 010 Alavus 35 978 99.6 18 222 106.7 54 200 102.0 36 159 99.4 20 975 96.3 57 134 98.2 052 Evijärvi 12 847 93.2 10 644 96.4 23 491 94.7 13 042 92.3 12 751 83.6 25 794 88.0 074 Halsua 14 835 96.0 11 882 84.2 26 717 90.7 15 119 94.8 15 375 70.0 30 495 82.3 095 Himanka 11 361 99.3 7 078 100.5 18 439 99.8 11 590 98.0 8 087 91.6 19 677 95.4 145 Ilmajoki 23 385 96.6 10 290 111.5 33 676 101.1 23 710 96.0 11 044 105.2 34 754 98.9 151 Isojoki 28 229 104.4 17 563 100.2 45 792 102.7 28 579 103.7 20 027 90.8 48 606 98.4 152 Isokyrö 12 464 91.9 6 579 106.7 19 043 97.0 12 724 90.5 7 586 95.8 20 311 92.5 164 Jalasjärvi 32 322 96.4 17 558 98.4 49 881 97.1 32 495 96.2 19 928 89.9 52 423 93.8 217 Kannus 16 237 84.9 16 058 98.1 32 295 91.5 16 405 84.2 18 686 88.0 35 091 86.2 218 Karijoki 7 699 101.3 4 545 113.2 12 245 105.7 7 785 100.5 5 081 104.2 12 866 102.0 232 Kauhajoki 49 061 83.9 32 572 96.6 81 633 89.0 49 653 83.6 38 053 86.1 87 705 84.7 233 Kauhava 49 037 97.2 26 188 95.6 75 225 96.7 50 746 95.3 30 968 84.4 81 714 91.2 236 Kaustinen 12 980 94.4 10 238 95.5 23 219 94.9 13 179 93.4 12 273 83.5 25 452 88.6 272 Kokkola-Karleby 59 658 96.4 36 900 97.7 96 559 96.9 60 822 95.2 43 753 86.1 104 575 91.4 300 Kuortane 21 709 106.4 11 482 106.8 33 191 106.5 21 922 105.7 12 690 99.8 34 612 103.6 301 Kurikka 39 559 93.0 19 693 107.6 59 252 97.9 39 989 92.5 22 047 98.7 62 036 94.7 399 Laihia 20 539 102.2 12 154 121.2 32 693 109.3 20 719 101.6 13 597 111.0 34 316 105.3 403 Lappajärvi 16 342 107.7 11 973 97.0 28 315 103.1 16 728 106.0 14 151 85.4 30 879 96.5 408 Lapua 25 448 108.5 16 291 100.0 41 739 105.2 26 008 107.0 19 151 88.1 45 159 99.0 421 Lestijärvi 19 379 91.2 14 782 89.3 34 161 90.4 19 660 90.4 18 141 76.8 37 801 83.9 584 Perho 29 634 103.3 20 598 85.3 50 233 95.9 29 957 102.5 26 707 70.8 56 663 87.6 743 Seinäjoki 56 085 90.9 31 176 100.2 87 260 94.2 56 615 90.5 35 690 90.6 92 306 90.6 759 Soini 26 722 113.8 15 746 93.6 42 468 106.3 26 827 113.5 18 098 84.0 44 925 101.6 846 Teuva 23 490 94.4 12 683 107.7 36 173 99.0 23 820 93.4 14 634 96.6 38 454 94.6 849 Toholampi 20 911 89.7 16 737 93.2 37 648 91.3 20 992 89.4 20 526 80.4 41 518 84.9 863 Töysä 16 130 114.0 6 230 103.8 22 360 111.1 16 346 113.0 6 874 97.7 23 220 108.5 924 Veteli 16 749 101.4 14 728 93.8 31 477 97.8 16 958 100.5 17 846 81.1 34 804 90.5 934 Vimpeli 10 524 106.1 7 551 93.8 18 075 101.0 10 702 104.9 9 061 81.8 19 763 94.3 942 Vähäkyrö 7 149 96.5 1 810 112.8 8 959 99.8 7 206 95.9 1 891 109.2 9 097 98.7 989 Ähtäri 42 725 120.3 23 517 104.5 66 242 114.7 42 850 120.1 25 782 97.4 68 632 111.6 Total 805 717 99.1 491 753 99.2 1 297 471 99.1 816 239 98.3 573 495 88.4 1 389 734 94.2 Keski-Suomi 077 Hankasalmi 34 584 126.3 9 906 121.3 44 490 125.2 34 609 126.2 10 127 119.0 44 736 124.6 172 Joutsa 58 326 148.6 13 536 138.9 71 862 146.8 58 496 148.4 13 976 135.0 72 472 145.8 179 Jyväskylä 82 184 132.5 11 481 125.1 93 665 131.6 82 438 132.2 11 725 122.8 94 163 131.1 182 Jämsä 107 057 124.3 22 520 121.1 129 577 123.7 107 246 124.2 23 054 118.7 130 300 123.2 216 Kannonkoski 29 029 121.9 9 941 121.8 38 970 121.9 29 229 121.4 10 386 117.6 39 615 120.4 226 Karstula 43 852 117.0 26 788 109.3 70 640 114.1 44 080 116.6 29 486 101.2 73 566 110.4 249 Keuruu 78 622 133.9 27 777 123.6 106 398 131.2 79 242 133.2 29 832 117.0 109 074 128.8 256 Kinnula 23 946 104.8 13 279 101.8 37 225 103.7 24 190 104.1 15 205 92.3 39 395 99.6 265 Kivijärvi 29 604 113.8 11 821 113.1 41 425 113.6 29 818 113.2 13 006 104.8 42 823 110.7 275 Konnevesi 36 297 131.0 7 872 131.9 44 169 131.2 36 305 131.0 8 086 128.8 44 391 130.6 291 Kuhmoinen 49 202 138.6 7 464 125.9 56 665 136.9 49 369 138.3 7 641 123.3 57 010 136.3 312 Kyyjärvi 19 138 109.1 14 921 98.5 34 059 104.5 19 254 108.7 17 072 88.5 36 325 99.2 410 Laukaa 42 183 120.5 6 413 113.6 48 597 119.6 42 285 120.4 6 552 111.7 48 836 119.2 435 Luhanka 16 434 151.2 1 438 139.3 17 872 150.2 16 517 151.1 1 463 137.3 17 981 149.9 495 Multia 41 207 124.4 22 426 107.7 63 633 118.5 41 402 124.0 24 242 101.4 65 644 115.7 500 Muurame 10 338 138.5 1 054 140.2 11 392 138.7 10 357 138.4 1 077 137.6 11 434 138.3 592 Petäjävesi 30 139 118.5 7 676 111.5 37 815 117.1 30 158 118.5 7 974 108.1 38 132 116.3 601 Pihtipudas 55 405 101.8 33 245 108.2 88 650 104.2 55 785 101.4 35 369 103.0 91 155 102.0 729 Saarijärvi 73 625 124.2 29 770 115.6 103 395 121.7 73 926 123.9 31 615 110.2 105 541 119.8 850 Toivakka 25 591 127.4 4 522 113.7 30 113 125.4 25 749 126.9 4 634 111.3 30 383 124.5 892 Uurainen 21 737 117.4 6 712 109.0 28 449 115.4 21 762 117.3 7 093 104.3 28 855 114.1 931 Viitasaari 87 433 114.1 20 447 112.9 107 880 113.9 87 700 114.2 21 543 108.2 109 243 113.0 992 Äänekoski 61 995 129.4 13 374 126.1 75 369 128.8 62 033 129.4 13 850 122.3 75 883 128.1 Total 1 057 928 125.0 324 383 115.9 1 382 311 122.9 1 061 950 124.7 345 008 110.2 1 406 958 121.2 Pohjois-Savo 140 Iisalmi 43 522 104.9 11 969 117.8 55 491 107.7 43 618 104.8 12 302 115.0 55 920 107.0 174 Juankoski 28 760 120.3 6 977 110.7 35 737 118.5 28 789 120.3 7 258 107.3 36 047 117.6 204 Kaavi 43 959 124.2 14 447 106.5 58 406 119.8 43 976 124.2 15 212 102.3 59 188 118.6 227 Karttula 32 415 129.5 8 936 129.4 41 351 129.5 32 425 129.4 9 321 124.7 41 747 128.4 239 Keitele 28 853 117.2 12 192 119.9 41 044 118.0 28 896 117.1 12 889 114.4 41 785 116.3 263 Kiuruvesi 60 008 98.4 38 115 103.0 98 123 100.2 60 146 98.3 41 574 95.7 101 720 97.3 297 Kuopio 78 999 141.0 9 852 132.7 88 851 140.1 79 032 141.0 10 049 130.4 89 081 139.8 402 Lapinlahti 34 122 113.7 11 654 120.0 45 776 115.3 34 186 113.6 12 059 116.6 46 245 114.4 420 Leppävirta 79 346 144.9 14 788 144.1 94 134 144.7 79 400 144.8 15 111 141.4 94 511 144.2 476 Maaninka 27 397 119.3 6 645 132.8 34 041 121.9 27 438 119.2 6 868 129.0 34 306 121.2 534 Nilsiä 43 851 121.8 11 884 115.1 55 736 120.4 43 934 121.7 12 383 111.1 56 317 119.4 595 Pielavesi 65 395 118.2 28 160 121.5 93 554 119.2 65 452 118.2 29 715 116.0 95 166 117.5 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 71 Table 2b. Continued Forestry centre Forest land Forest and poorly productive forest land Mineral soil Peatland Total Mineral soil Peatland Total Municipality ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha 686 Rautalampi 36 013 127.8 8 992 126.9 45 005 127.6 36 053 127.7 9 321 123.0 45 374 126.8 687 Rautavaara 56 374 114.8 38 452 98.8 94 826 108.3 56 445 114.7 43 370 89.9 99 815 103.9 749 Siilinjärvi 23 133 117.4 3 984 125.7 27 117 118.6 23 178 117.3 4 086 122.9 27 265 118.1 762 Sonkajärvi 72 103 103.1 45 476 95.9 117 579 100.3 72 227 102.9 50 747 88.3 122 974 96.9 778 Suonenjoki 44 212 131.3 16 609 130.7 60 821 131.1 44 225 131.3 17 184 126.9 61 409 130.0 844 Tervo 23 536 121.4 6 169 127.6 29 705 122.7 23 565 121.3 6 367 124.2 29 933 121.9 857 Tuusniemi 38 295 134.5 6 608 132.1 44 904 134.2 38 315 134.5 6 816 128.5 45 131 133.6 915 Varkaus 26 661 149.8 4 776 139.6 31 437 148.2 26 671 149.7 4 875 137.1 31 546 147.8 916 Varpaisjärvi 27 601 108.3 10 577 110.2 38 178 108.8 27 640 108.2 11 153 105.5 38 792 107.4 921 Vesanto 28 220 124.1 7 205 120.0 35 426 123.3 28 252 124.1 7 517 115.8 35 768 122.3 925 Vieremä 45 846 99.4 25 755 101.8 71 600 100.2 45 926 99.3 27 931 95.3 73 858 97.8 Total 988 619 121.3 350 223 113.4 1 338 842 119.2 989 788 121.2 374 109 107.4 1 363 897 117.4 Pohjois-Karjala 146 Ilomantsi 135 167 117.3 84 331 94.7 219 498 108.6 135 447 117.2 98 941 83.3 234 389 102.9 167 Joensuu 145 408 126.5 52 754 108.2 198 162 121.7 145 521 126.4 55 801 103.5 201 323 120.1 176 Juuka 85 638 117.7 41 485 104.5 127 124 113.4 85 729 117.5 44 528 99.0 130 258 111.2 248 Kesälahti 23 610 130.1 8 332 125.4 31 942 128.9 23 621 130.0 8 660 121.5 32 282 127.7 260 Kitee 49 646 127.7 18 532 120.0 68 178 125.6 49 657 127.7 19 210 116.5 68 867 124.6 276 Kontiolahti 49 191 120.6 17 753 112.7 66 944 118.5 49 260 120.4 18 663 108.4 67 923 117.1 309 Outokumpu 26 578 128.1 9 107 108.9 35 685 123.2 26 612 128.0 9 513 105.2 36 125 122.0 422 Lieksa 203 086 110.5 88 641 93.8 291 727 105.4 203 839 110.2 99 966 85.5 303 806 102.1 426 Liperi 44 535 128.7 8 572 113.5 53 107 126.3 44 589 128.6 8 927 109.9 53 517 125.5 541 Nurmes 94 731 107.2 44 285 101.6 139 016 105.4 94 955 107.1 47 898 95.7 142 853 103.3 607 Polvijärvi 42 073 119.4 20 158 108.2 62 231 115.8 42 125 119.3 21 237 103.9 63 363 114.2 707 Rääkkylä 25 045 142.4 7 969 128.6 33 014 139.0 25 077 142.2 8 290 124.4 33 367 137.8 848 Tohmajärvi 43 854 129.5 21 441 107.9 65 295 122.4 43 911 129.3 22 706 103.1 66 617 120.4 911 Valtimo 45 857 102.2 22 728 103.5 68 585 102.6 45 895 102.1 24 221 98.7 70 117 101.0 Total 1 014 418 118.7 446 090 103.0 1 460 508 113.9 1 016 242 118.5 488 563 95.8 1 504 805 111.1 Kainuu 105 Hyrynsalmi 75 076 97.4 39 779 75.8 114 855 89.9 75 491 96.9 52 580 62.3 128 071 82.7 205 Kajaani 80 035 95.5 66 303 86.1 146 338 91.2 80 184 95.3 78 314 75.9 158 498 85.7 290 Kuhmo 245 615 97.9 144 639 78.9 390 254 90.9 246 452 97.6 177 822 68.2 424 274 85.3 578 Paltamo 50 559 106.0 27 555 87.5 78 113 99.5 50 814 105.5 31 316 79.8 82 130 95.7 620 Puolanka 130 127 86.4 63 889 76.3 194 016 83.1 130 913 86.1 88 495 60.4 219 408 75.7 697 Ristijärvi 47 442 95.2 22 330 81.3 69 772 90.8 47 806 94.6 27 378 70.5 75 184 85.9 765 Sotkamo 139 713 103.8 86 766 89.9 226 479 98.5 139 983 103.6 97 682 82.2 237 665 94.8 777 Suomussalmi 286 785 83.5 113 032 65.4 399 816 78.4 287 888 83.3 175 405 48.9 463 293 70.2 785 Vaala 41 666 80.9 46 520 75.7 88 186 78.2 42 082 80.5 59 046 63.8 101 128 70.7 Total 1 097 018 92.9 610 811 78.5 1 707 829 87.8 1 101 613 92.6 788 038 65.3 1 889 651 81.2 Pohjois-Pohjanmaa 009 Alavieska 9 287 85.9 6 665 89.3 15 952 87.3 9 547 84.6 7 669 81.0 17 216 83.0 069 Haapajärvi 32 561 103.4 25 875 100.2 58 436 102.0 32 780 102.9 28 083 94.0 60 863 98.8 071 Haapavesi 36 542 90.6 39 850 93.8 76 392 92.3 36 882 90.2 45 523 85.2 82 405 87.4 072 Hailuoto 10 789 69.6 3 014 62.2 13 803 68.0 11 286 68.6 3 772 53.5 15 057 64.8 084 Haukipudas 19 195 91.6 11 372 79.1 30 568 86.9 19 439 91.1 14 468 66.3 33 906 80.5 139 Ii 58 480 85.0 45 172 76.6 103 651 81.3 59 468 84.4 59 476 62.7 118 944 73.5 208 Kalajoki 25 116 80.9 20 671 87.6 45 787 83.9 26 238 79.0 24 108 79.3 50 346 79.1 244 Kempele 3 464 89.0 2 455 84.7 5 919 87.2 3 499 88.5 2 941 73.9 6 440 81.8 255 Kiiminki 13 520 103.6 9 443 80.9 22 964 94.3 13 608 103.2 12 122 67.7 25 730 86.5 305 Kuusamo 286 802 80.6 64 819 58.0 351 620 76.4 290 716 80.1 134 492 39.1 425 207 67.1 317 Kärsämäki 25 157 103.0 27 089 97.9 52 247 100.3 25 328 102.6 30 978 88.5 56 306 94.9 425 Liminka 16 484 80.3 21 275 77.4 37 759 78.7 16 692 79.8 26 939 64.9 43 630 70.6 436 Lumijoki 6 567 79.3 6 211 77.9 12 778 78.6 6 668 78.7 7 204 69.6 13 872 74.0 483 Merijärvi 9 335 78.3 7 772 93.4 17 107 85.1 9 592 77.5 8 696 85.8 18 289 81.5 494 Muhos 24 851 81.4 24 160 70.6 49 011 76.1 25 148 80.9 31 250 59.2 56 398 68.8 535 Nivala 19 919 95.3 10 613 99.6 30 532 96.8 20 132 94.6 11 521 93.6 31 653 94.3 563 Oulainen 24 666 77.8 19 205 90.7 43 871 83.5 25 198 77.3 21 881 82.4 47 078 79.7 564 Oulu 48 842 101.6 42 432 78.3 91 274 90.8 49 069 101.3 54 902 65.7 103 971 82.5 567 Oulunsalo 3 453 81.9 1 552 83.0 5 005 82.2 3 513 81.1 1 764 76.0 5 276 79.4 615 Pudasjärvi 220 580 76.9 146 386 69.5 366 966 74.0 223 101 76.5 213 040 54.1 436 140 65.6 625 Pyhäjoki 22 912 77.6 18 321 89.9 41 233 83.1 23 617 76.8 21 244 81.2 44 861 78.9 626 Pyhäsalmi 57 090 95.4 48 986 103.3 106 076 99.0 57 558 95.1 54 050 95.8 111 608 95.4 630 Pyhäntä 25 116 93.6 33 593 83.2 58 709 87.6 25 327 93.1 40 353 72.4 65 680 80.4 678 Raahe 22 894 89.4 16 153 83.1 39 046 86.8 23 079 89.0 18 951 73.9 42 030 82.2 691 Reisjärvi 20 297 101.1 14 226 94.0 34 523 98.2 20 595 100.1 16 455 85.0 37 049 93.4 746 Sievi 29 735 90.4 24 435 87.8 54 170 89.2 30 412 89.0 30 503 75.3 60 915 82.2 748 Siikajoki 33 976 80.8 35 539 75.4 69 515 78.0 34 406 80.2 42 356 66.4 76 762 72.6 791 Siikalatva 65 278 92.2 89 685 85.2 154 963 88.1 65 647 91.9 105 407 75.5 171 054 81.8 832 Taivalkoski 141 133 84.0 36 606 63.7 177 739 79.9 143 538 83.4 64 686 44.4 208 224 71.2 859 Tyrnävä 13 462 80.2 14 765 75.6 28 227 77.8 13 650 79.6 18 756 63.6 32 406 70.3 889 Utajärvi 49 032 86.7 57 939 73.6 106 970 79.6 49 531 86.2 75 394 60.9 124 925 71.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 72 Table 2b. Continued Forestry centre Forest land Forest and poorly productive forest land Mineral soil Peatland Total Mineral soil Peatland Total Municipality ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha 926 Vihanti 15 465 90.8 19 314 81.2 34 780 85.4 15 595 90.4 22 647 72.1 38 242 79.5 972 Yli-Ii 23 757 90.2 26 535 73.1 50 293 81.2 23 935 89.9 33 990 61.5 57 925 73.2 977 Ylivieska 23 175 87.7 17 460 94.2 40 635 90.5 23 594 86.8 19 596 86.6 43 190 86.7 Total 1 438 932 85.4 989 588 80.0 2 428 520 83.2 1 458 387 84.8 1 305 213 65.7 2 763 601 75.8 Lapland 047 Enontekiö 88 223 55.9 4 889 37.0 93 112 54.9 235 706 33.0 30 064 20.8 265 769 31.7 148 Inari 693 810 65.4 19 898 34.3 713 708 64.5 992 447 52.4 132 176 22.6 1 124 624 48.9 240 Kemi 4 815 80.3 1 476 104.4 6 291 85.9 4 845 80.0 1 846 87.9 6 691 82.1 241 Keminmaa 23 117 82.3 19 456 96.3 42 573 88.7 23 329 82.1 24 542 81.3 47 871 81.7 261 Kittilä 417 253 61.5 53 045 49.3 470 298 60.2 436 107 60.0 212 619 25.8 648 726 48.8 273 Kolari 127 847 74.9 44 985 51.3 172 831 68.8 131 753 73.9 89 870 36.3 221 623 58.7 320 Kemijärvi 198 359 67.4 50 562 61.9 248 921 66.3 200 817 67.1 98 936 41.9 299 753 58.8 498 Muonio 119 855 65.2 7 132 44.5 126 987 64.0 129 925 64.7 30 411 24.6 160 336 57.1 583 Pelkosenniemi 86 703 61.2 30 262 64.7 116 966 62.1 88 308 60.6 58 188 43.9 146 496 54.0 614 Posio 162 547 68.7 40 202 58.7 202 749 66.7 165 827 68.2 83 163 38.7 248 989 58.3 683 Ranua 129 579 64.4 81 435 65.3 211 014 64.7 131 869 63.7 134 798 46.5 266 667 55.0 698 Rovaniemi 413 034 66.8 128 813 64.2 541 848 66.2 419 733 66.2 239 248 43.8 658 981 58.0 732 Salla 302 260 62.1 59 561 61.1 361 821 61.9 335 984 59.0 135 238 38.6 471 221 53.1 742 Savukoski 394 542 57.3 41 516 55.0 436 058 57.1 419 603 55.9 120 987 33.3 540 590 50.9 751 Simo 44 634 76.7 40 864 75.2 85 498 76.0 45 516 76.0 59 289 58.1 104 805 65.8 758 Sodankylä 602 586 57.5 67 184 51.2 669 770 56.9 638 518 56.5 228 173 29.6 866 691 49.4 845 Tervola 54 127 75.0 53 321 84.4 107 448 79.7 54 793 74.4 72 349 68.2 127 142 70.8 851 Tornio 43 314 86.0 35 667 86.2 78 981 86.1 43 386 85.9 47 094 70.8 90 480 78.1 854 Pello 103 064 69.3 32 472 64.1 135 537 68.1 106 022 68.2 51 535 48.2 157 558 61.7 890 Utsjoki 5 962 53.4 336 62.3 6 299 53.9 109 711 15.3 1 916 21.3 111 626 15.4 976 Ylitornio 84 273 61.2 57 152 64.2 141 425 62.4 87 624 59.8 86 432 49.8 174 056 54.8 Total 4 099 905 63.9 870 229 49.6 4 970 135 63.5 4 801 825 54.2 1 938 873 31.6 6 740 697 49.2 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 73 Ta bl e 2c . A re a an d pr op or tio n of fo re st a va ila bl e fo r w o o d su pp ly on m in er a l s oi l a nd p ea tla nd b y la nd c la ss es a nd fo re st ry c en tre s. Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % Ål an d 03 5 B rä nd ö 2 44 0 88 .7 31 0 11 .3 1 97 7 94 .9 10 7 5. 1 4 53 9 97 .0 14 0 3. 0 8 95 6 94 .1 55 7 5. 9 04 3 E ck er ö 5 18 1 90 .2 56 3 9. 8 1 78 1 95 .2 90 4. 8 1 40 0 93 .8 93 6. 2 8 36 2 91 .8 74 6 8. 2 06 0 F in st rö m 5 94 0 90 .7 60 7 9. 3 1 56 2 95 .7 71 4. 3 84 8 88 .4 11 2 11 .6 8 35 0 91 .4 78 9 8. 6 06 2 F ög lö 5 57 8 92 .5 45 4 7. 5 2 48 6 96 .4 94 3. 6 2 45 3 93 .8 16 3 6. 2 10 5 17 93 .7 71 1 6. 3 06 5 G et a 2 68 9 91 .1 26 1 8. 9 2 16 8 96 .5 78 3. 5 1 69 4 95 .6 77 4. 4 6 55 1 94 .0 41 7 6. 0 07 6 H am m ar la nd 6 47 0 90 .1 71 3 9. 9 1 97 4 95 .4 95 4. 6 1 48 0 92 .8 11 5 7. 2 9 92 4 91 .5 92 3 8. 5 17 0 J om al a 6 75 6 90 .1 73 8 9. 9 1 35 0 94 .9 73 5. 1 68 8 85 .2 12 0 14 .8 8 79 4 90 .4 93 1 9. 6 29 5 K um lin ge 1 98 4 89 .2 24 0 10 .8 2 34 0 93 .3 16 8 6. 7 3 73 0 95 .0 19 8 5. 0 8 05 4 93 .0 60 5 7. 0 31 8 K ök ar 25 9 87 .6 37 12 .4 46 1 60 .6 29 9 39 .4 4 38 6 99 .7 15 0. 3 5 10 7 93 .6 35 2 6. 4 41 7 L em la nd 5 86 3 90 .5 61 6 9. 5 1 38 2 95 .4 66 4. 6 1 12 8 92 .3 94 7. 7 8 37 3 91 .5 77 6 8. 5 43 8 L um pa rla nd 1 61 1 90 .8 16 2 9. 2 70 8 96 .3 27 3. 7 34 5 90 .0 38 10 .0 2 66 4 92 .1 22 8 7. 9 47 8 M ar ie ha m n- M aa ria nh am in a 36 3 92 .5 30 7. 5 12 4 95 .8 6 4. 2 94 91 .1 9 8. 9 58 1 92 .9 44 7. 1 73 6 S al tv ik 5 34 4 90 .7 54 7 9. 3 3 25 2 96 .4 12 1 3. 6 2 09 8 94 .6 11 9 5. 4 10 6 95 93 .2 78 6 6. 8 76 6 S ot tu ng a 54 8 90 .8 55 9. 2 52 0 97 .2 15 2. 8 1 22 7 96 .9 40 3. 1 2 29 5 95 .4 11 0 4. 6 77 1 S un d 4 54 5 90 .6 47 1 9. 4 2 18 9 96 .4 82 3. 6 84 4 91 .4 80 8. 6 7 57 8 92 .3 63 2 7. 7 94 1 V år dö 3 19 2 92 .2 27 0 7. 8 2 54 9 97 .2 73 2. 8 2 62 5 96 .8 87 3. 2 8 36 5 95 .1 43 0 4. 9 To ta l 58 7 65 90 .6 6 07 3 9. 4 26 8 23 94 .8 1 46 4 5. 2 29 5 79 95 .2 1 50 0 4. 8 11 5 16 7 92 .7 9 03 6 7. 3 R an ni kk o/ Et el är an ni kk o 04 9 E sp oo -E sb o 12 8 17 89 .2 1 55 9 10 .8 1 17 0 95 .1 60 4. 9 17 0 63 .3 99 36 .7 14 1 57 89 .2 1 71 8 10 .8 07 8 H an ko -H an gö 5 18 3 88 .4 67 8 11 .6 1 48 1 97 .0 45 3. 0 32 0 80 .7 76 19 .3 6 98 4 89 .7 79 9 10 .3 09 1 H el si nk i-H el si ng fo rs 6 26 9 89 .4 74 1 10 .6 1 01 5 97 .3 28 2. 7 34 1 89 .2 41 10 .8 7 62 4 90 .4 81 1 9. 6 09 2 V an ta a- Va nd a 8 48 4 88 .9 1 05 4 11 .1 47 5 92 .2 40 7. 8 22 5 82 .4 48 17 .6 9 18 4 88 .9 1 14 2 11 .1 14 9 In gå -In ko o 16 3 41 89 .7 1 88 4 10 .3 2 56 0 95 .4 12 2 4. 6 40 1 76 .6 12 3 23 .4 19 3 02 90 .1 2 12 9 9. 9 23 5 K au ni ai ne n- G ra nk ul la 15 9 86 .5 25 13 .5 25 97 .3 1 2. 7 3 89 .4 0 10 .6 18 7 87 .8 26 12 .2 25 7 K irk ko nu m m i-K yr ks lä tt 16 0 33 88 .6 2 05 6 11 .4 2 16 0 92 .7 17 0 7. 3 27 9 53 .6 24 1 46 .4 18 4 72 88 .2 2 46 7 11 .8 32 2 K em iö ns aa ri 29 9 28 90 .2 3 26 3 9. 8 10 2 35 97 .4 27 6 2. 6 2 54 6 82 .9 52 4 17 .1 42 7 08 91 .3 4 06 3 8. 7 40 7 L ap in jä rv i-L ap pt rä sk 15 4 40 84 .7 2 78 6 15 .3 34 2 78 .7 92 21 .3 0 0. 0 54 10 0. 0 15 7 81 84 .3 2 93 2 15 .7 42 4 L ilje nd al 5 18 0 86 .6 79 8 13 .4 14 1 85 .6 24 14 .4 0 0. 0 18 10 0. 0 5 32 1 86 .4 84 0 13 .6 43 4 L ov iis a- Lo vi sa 2 40 3 86 .3 38 1 13 .7 12 9 90 .9 13 9. 1 5 24 .3 15 75 .7 2 53 7 86 .1 40 9 13 .9 44 4 L än si -T ur un m aa 38 8 16 93 .4 2 75 2 6. 6 13 3 31 98 .0 27 5 2. 0 4 15 8 92 .8 32 3 7. 2 56 3 05 94 .4 3 35 0 5. 6 58 5 P er nå -P er na ja 22 4 23 85 .4 3 84 3 14 .6 97 0 84 .9 17 2 15 .1 17 7. 3 21 2 92 .7 23 4 10 84 .7 4 22 7 15 .3 63 8 P or vo o- Bo rg å 32 3 55 88 .4 4 25 0 11 .6 1 82 3 90 .8 18 5 9. 2 15 0 41 .0 21 6 59 .0 34 3 27 88 .1 4 65 0 11 .9 70 1 R uo ts in py ht ää -S trö m fo rs 14 7 13 81 .4 3 36 4 18 .6 45 8 76 .8 13 8 23 .2 34 10 .5 29 2 89 .5 15 2 05 80 .0 3 79 4 20 .0 71 0 R aa se po ri 55 2 57 87 .8 7 68 5 12 .2 9 15 9 95 .4 44 0 4. 6 1 23 1 67 .7 58 6 32 .3 65 6 46 88 .3 8 71 1 11 .7 75 3 S ip oo -S ib bo 16 3 43 89 .5 1 91 8 10 .5 97 9 93 .5 68 6. 5 94 45 .8 11 1 54 .2 17 4 16 89 .3 2 09 8 10 .7 75 5 S iu nt io -S ju nd eå 10 7 88 89 .1 1 31 9 10 .9 89 6 91 .2 87 8. 8 87 45 .9 10 2 54 .1 11 7 71 88 .6 1 50 8 11 .4 To ta l 30 8 93 1 88 .4 40 3 56 11 .6 47 3 49 95 .5 2 23 6 4. 5 10 0 58 76 .5 3 08 2 23 .5 36 6 33 8 88 .9 45 6 74 11 .1 R an ni kk o/ Po hj an m aa n ra nn ik ko 23 1 K as ki ne n- Ka sk ö 55 1 80 .1 13 7 19 .9 14 91 .8 1 8. 2 10 43 .7 13 56 .3 57 5 79 .2 15 1 20 .8 28 0 K or sn äs 12 4 30 74 .9 4 16 6 25 .1 57 18 .0 25 8 82 .0 31 8. 9 32 3 91 .1 12 5 18 72 .5 4 74 7 27 .5 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 74 Ta bl e 2c . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 28 7 K ris tin es ta d- Kr is tii na nk au pu nk i 36 9 41 74 .4 12 7 20 25 .6 81 6 46 .6 93 6 53 .4 55 3. 4 1 55 7 96 .6 37 8 11 71 .3 15 2 13 28 .7 28 8 K ro no by -K ru un up yy 31 1 25 62 .5 18 6 66 37 .5 50 2 18 .0 2 29 1 82 .0 42 1. 8 2 27 4 98 .2 31 6 68 57 .7 23 2 31 42 .3 44 0 L ar sm o- Lu ot o 7 63 8 79 .0 2 03 2 21 .0 26 7 58 .2 19 2 41 .8 31 9. 2 30 9 90 .8 7 93 7 75 .8 2 53 4 24 .2 47 5 M al ax -M aa la ht i 24 7 17 72 .8 9 24 8 27 .2 19 7 14 .5 1 16 3 85 .5 88 5. 2 1 61 9 94 .8 25 0 02 67 .5 12 0 30 32 .5 49 9 K or sh ol m -M us ta sa ar i 43 7 89 82 .2 9 50 4 17 .8 57 2 42 .8 76 5 57 .2 12 7 7. 9 1 47 0 92 .1 44 4 89 79 .1 11 7 39 20 .9 54 5 N är pe s- N är pi ö 44 0 07 68 .4 20 3 27 31 .6 48 4 19 .8 1 96 5 80 .2 14 6 6. 8 2 00 4 93 .2 44 6 37 64 .8 24 2 96 35 .2 55 9 O ra va is -O ra va in en 9 36 7 71 .9 3 65 5 28 .1 39 9 59 .2 27 5 40 .8 29 6. 4 42 0 93 .6 9 79 5 69 .2 4 35 0 30 .8 59 8 J ak ob st ad -P ie ta rs aa ri 4 02 2 72 .0 1 56 7 28 .0 15 1 50 .9 14 6 49 .1 16 8. 7 16 5 91 .3 4 18 9 69 .0 1 87 8 31 .0 59 9 P ed er sö re -P ed er sö re n ku nt a 33 7 91 61 .5 21 1 93 38 .5 61 3 20 .8 2 34 2 79 .2 40 2. 6 1 51 5 97 .4 34 4 44 57 .9 25 0 50 42 .1 89 3 N yk ar le by -U us ik aa rle py y 29 4 70 61 .5 18 4 62 38 .5 1 36 7 49 .8 1 37 9 50 .2 98 5. 8 1 58 1 94 .2 30 9 35 59 .1 21 4 22 40 .9 90 5 V aa sa -V as a 9 16 7 83 .3 1 84 1 16 .7 11 8 54 .4 99 45 .6 66 19 .3 27 5 80 .7 9 35 1 80 .8 2 21 5 19 .2 94 5 V ör å- M ax m o Vö yr i-M ak sa m aa 28 2 32 76 .1 8 89 0 23 .9 82 0 54 .2 69 4 45 .8 90 7. 5 1 11 4 92 .5 29 1 42 73 .1 10 6 98 26 .9 To ta l 31 5 24 7 70 .4 13 2 40 7 29 .6 6 37 8 33 .8 12 5 08 66 .2 86 9 5. 6 14 6 37 94 .4 32 2 49 4 66 .9 15 9 55 3 33 .1 Lo un ai s- Su om i 01 9 A ur a 3 33 2 87 .6 47 3 12 .4 19 8 80 .3 49 19 .7 28 30 .4 63 69 .6 3 55 8 85 .9 58 4 14 .1 05 0 E ur a 28 3 90 82 .3 6 12 5 17 .7 75 8 49 .9 76 2 50 .1 90 8. 8 93 3 91 .2 29 2 38 78 .9 7 82 1 21 .1 05 1 E ur aj ok i 18 8 29 86 .3 2 99 0 13 .7 61 8 73 .3 22 5 26 .7 19 0 37 .3 31 8 62 .7 19 6 37 84 .8 3 53 3 15 .2 07 9 H ar ja va lta 5 60 9 77 .2 1 65 9 22 .8 43 23 .6 13 9 76 .4 23 7. 4 28 2 92 .6 5 67 4 73 .2 2 08 1 26 .8 09 9 H on ka jo ki 13 0 60 63 .8 7 40 1 36 .2 15 2 13 .8 94 9 86 .2 0 0. 0 1 06 9 10 0. 0 13 2 12 58 .4 9 41 9 41 .6 10 2 H ui tti ne n 21 4 12 82 .8 4 43 5 17 .2 17 0 21 .9 60 4 78 .1 18 2. 8 61 8 97 .2 21 5 99 79 .2 5 65 7 20 .8 18 1 J äm ijä rv i 7 89 2 68 .1 3 70 0 31 .9 63 18 .1 28 5 81 .9 4 1. 3 31 2 98 .7 7 95 9 64 .9 4 29 7 35 .1 20 2 K aa rin a 5 97 0 92 .3 50 1 7. 7 60 9 94 .3 37 5. 7 93 69 .7 40 30 .3 6 67 2 92 .0 57 9 8. 0 21 4 K an ka an pä ä 29 7 03 66 .8 14 7 36 33 .2 39 4 19 .4 1 64 3 80 .6 0 0. 0 2 11 2 10 0. 0 30 0 98 61 .9 18 4 91 38 .1 23 0 K ar vi a 18 3 95 61 .3 11 6 25 38 .7 18 9 10 .1 1 68 2 89 .9 1 0. 0 1 67 5 10 0. 0 18 5 85 55 .4 14 9 82 44 .6 25 4 K iik oi ne n 7 49 1 81 .8 1 67 2 18 .2 11 6 35 .6 21 0 64 .4 3 1. 7 17 4 98 .3 7 61 0 78 .7 2 05 7 21 .3 27 1 K ok em äk i 23 4 69 81 .1 5 47 7 18 .9 21 1 31 .5 45 8 68 .5 27 7. 6 32 3 92 .4 23 7 06 79 .1 6 25 7 20 .9 28 4 K os ki T. l. 5 92 0 76 .9 1 78 3 23 .1 26 3 70 .4 11 1 29 .6 3 1. 6 19 4 98 .4 6 18 6 74 .8 2 08 8 25 .2 30 4 K us ta vi 7 44 4 92 .6 59 3 7. 4 3 02 5 95 .9 12 8 4. 1 84 0 80 .1 20 9 19 .9 11 3 09 92 .4 93 0 7. 6 31 9 K öy liö 9 62 8 75 .6 3 09 9 24 .4 15 5 17 .2 74 4 82 .8 18 3. 5 49 6 96 .5 9 80 0 69 .3 4 34 0 30 .7 40 0 L ai til a 24 5 61 84 .2 4 62 2 15 .8 1 69 5 68 .5 78 1 31 .5 16 5 10 .9 1 34 8 89 .1 26 4 21 79 .6 6 75 1 20 .4 41 3 L av ia 18 2 83 80 .9 4 32 9 19 .1 58 2 54 .2 49 1 45 .8 44 7. 7 52 4 92 .3 18 9 08 78 .0 5 34 5 22 .0 42 3 L ie to 6 71 9 87 .9 92 4 12 .1 59 1 86 .7 91 13 .3 50 39 .0 79 61 .0 7 36 0 87 .1 1 09 3 12 .9 43 0 L oi m aa 25 6 87 80 .5 6 23 8 19 .5 73 9 54 .9 60 6 45 .1 10 1. 4 74 2 98 .6 26 4 37 77 .7 7 58 6 22 .3 44 2 L uv ia 10 4 32 88 .5 1 35 4 11 .5 23 18 .7 99 81 .3 39 14 .3 23 2 85 .7 10 4 93 86 .2 1 68 6 13 .8 48 0 M ar tti la 7 05 7 83 .0 1 44 2 17 .0 49 2 71 .7 19 4 28 .3 47 11 .3 37 0 88 .7 7 59 6 79 .1 2 00 7 20 .9 48 1 M as ku 7 71 9 91 .1 75 0 8. 9 97 1 93 .2 71 6. 8 12 8 56 .8 97 43 .2 8 81 8 90 .6 91 8 9. 4 48 4 M er ik ar vi a 25 8 54 77 .6 7 48 3 22 .4 14 4 21 .2 53 8 78 .8 17 0. 9 1 85 7 99 .1 26 0 16 72 .5 9 87 7 27 .5 50 3 M yn äm äk i 22 2 45 80 .8 5 29 1 19 .2 1 68 3 67 .8 80 1 32 .2 77 7. 3 97 3 92 .7 24 0 05 77 .3 7 06 4 22 .7 52 9 N aa nt al i 12 6 24 94 .1 78 7 5. 9 4 12 8 98 .0 84 2. 0 76 5 87 .4 11 1 12 .6 17 5 17 94 .7 98 2 5. 3 53 1 N ak ki la 7 72 3 83 .0 1 58 4 17 .0 32 14 .6 18 7 85 .4 21 8. 7 22 4 91 .3 7 77 7 79 .6 1 99 6 20 .4 53 7 N oo rm ar kk u 18 8 76 79 .2 4 95 3 20 .8 11 4 21 .7 41 0 78 .3 3 0. 5 61 1 99 .5 18 9 93 76 .1 5 97 4 23 .9 53 8 N ou si ai ne n 8 29 7 87 .0 1 23 4 13 .0 89 6 88 .1 12 1 11 .9 83 32 .9 16 9 67 .1 9 27 6 85 .9 1 52 4 14 .1 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 75 Ta bl e 2c . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 56 1 O rip ää 3 83 4 77 .0 1 14 4 23 .0 34 4 73 .3 12 5 26 .7 8 2. 7 27 3 97 .3 4 18 5 73 .1 1 54 3 26 .9 57 7 P ai m io 9 05 5 87 .9 1 24 7 12 .1 98 7 90 .5 10 3 9. 5 63 41 .0 91 59 .0 10 1 06 87 .5 1 44 1 12 .5 60 8 P om ar kk u 17 4 92 79 .0 4 65 3 21 .0 15 3 30 .1 35 5 69 .9 27 3. 4 77 1 96 .6 17 6 73 75 .4 5 77 9 24 .6 60 9 P or i 21 7 90 86 .7 3 33 0 13 .3 71 27 .0 19 3 73 .0 60 7. 0 80 5 93 .0 21 9 22 83 .5 4 32 8 16 .5 63 1 P yh är an ta 8 45 3 88 .7 1 07 6 11 .3 71 6 87 .9 99 12 .1 12 1 45 .4 14 6 54 .6 9 28 9 87 .6 1 32 1 12 .4 63 6 P öy ty ä 30 7 15 80 .1 7 64 4 19 .9 2 29 6 68 .8 1 03 9 31 .2 64 4. 5 1 35 6 95 .5 33 0 74 76 .7 10 0 38 23 .3 68 0 R ai si o 1 76 4 93 .0 13 3 7. 0 22 0 94 .8 12 5. 2 42 78 .2 12 21 .8 2 02 7 92 .8 15 7 7. 2 68 4 R au m a 26 4 41 87 .8 3 66 9 12 .2 2 86 0 88 .6 36 9 11 .4 45 7 53 .3 39 9 46 .7 29 7 57 87 .0 4 43 7 13 .0 70 4 R us ko 5 01 5 85 .7 84 0 14 .3 36 3 83 .8 70 16 .2 30 31 .1 66 68 .9 5 40 8 84 .7 97 6 15 .3 73 4 S al o 84 9 32 86 .0 13 8 00 14 .0 8 68 8 89 .9 97 5 10 .1 65 4 36 .4 1 14 3 63 .6 94 2 74 85 .6 15 9 18 14 .4 73 8 S au vo 10 9 94 91 .5 1 01 6 8. 5 1 64 2 95 .9 70 4. 1 16 0 77 .5 46 22 .5 12 7 96 91 .9 1 13 2 8. 1 74 7 S iik ai ne n 24 9 10 72 .1 9 64 8 27 .9 14 5 13 .8 90 2 86 .2 20 1. 0 1 91 3 99 .0 25 0 74 66 .8 12 4 64 33 .2 76 1 S om er o 27 0 17 83 .9 5 19 9 16 .1 34 6 56 .2 26 9 43 .8 37 9. 2 36 1 90 .8 27 3 99 82 .5 5 83 0 17 .5 78 3 S äk yl ä 6 68 4 80 .9 1 57 6 19 .1 24 3 47 .9 26 4 52 .1 3 2. 6 13 0 97 .4 6 93 0 77 .9 1 97 1 22 .1 83 3 Ta iva ss al o 6 07 3 93 .8 39 8 6. 2 1 54 1 96 .5 55 3. 5 26 7 77 .7 76 22 .3 7 88 1 93 .7 53 0 6. 3 83 8 Ta rv as jo ki 3 43 7 89 .2 41 7 10 .8 21 7 85 .8 36 14 .2 25 41 .7 35 58 .3 3 67 9 88 .3 48 7 11 .7 85 3 Tu rk u- Åb o 8 24 6 90 .8 84 0 9. 2 85 6 92 .0 74 8. 0 19 6 69 .8 85 30 .2 9 29 9 90 .3 99 9 9. 7 88 6 U lv ila 21 2 20 77 .4 6 19 0 22 .6 16 4 21 .3 60 4 78 .7 15 2. 8 51 8 97 .2 21 3 98 74 .5 7 31 2 25 .5 89 5 U us ik au pu nk i 25 4 92 90 .7 2 62 8 9. 3 3 93 5 92 .8 30 6 7. 2 73 3 63 .8 41 5 36 .2 30 1 61 90 .0 3 34 9 10 .0 91 8 V eh m aa 8 75 1 90 .9 88 0 9. 1 1 04 7 89 .9 11 7 10 .1 13 4 49 .0 13 9 51 .0 9 93 2 89 .7 1 13 6 10 .3 To ta l 75 4 93 8 81 .3 17 3 58 7 18 .7 45 8 88 71 .2 18 5 39 28 .8 5 90 1 19 .1 24 9 40 80 .9 80 6 72 7 78 .8 21 7 06 6 21 .2 H äm e- U us im aa 01 5 A rtj är vi 8 02 3 90 .3 85 9 9. 7 13 6 78 .7 37 21 .3 0 0. 0 46 10 0. 0 8 15 9 89 .7 94 2 10 .3 01 6 A si kk al a 34 4 94 86 .3 5 45 8 13 .7 38 5 69 .5 16 9 30 .5 44 23 .4 14 6 76 .6 34 9 24 85 .8 5 77 3 14 .2 01 8 A sk ol a 9 75 5 88 .2 1 30 6 11 .8 18 3 82 .0 40 18 .0 0 0. 0 54 10 0. 0 9 93 8 87 .6 1 40 0 12 .4 06 1 F or ss a 11 2 70 84 .9 2 01 1 15 .1 24 8. 6 25 3 91 .4 76 20 .2 29 9 79 .8 11 3 69 81 .6 2 56 3 18 .4 08 1 H ar to la 37 0 64 85 .1 6 47 2 14 .9 13 0 30 .8 29 3 69 .2 33 24 .9 99 75 .1 37 2 26 84 .4 6 86 3 15 .6 08 2 H at tu la 18 4 21 79 .6 4 71 4 20 .4 13 2 26 .3 37 1 73 .7 29 10 .6 24 9 89 .4 18 5 83 77 .7 5 33 4 22 .3 08 6 H au sj är vi 15 9 23 84 .9 2 83 1 15 .1 11 0 41 .9 15 2 58 .1 46 22 .0 16 4 78 .0 16 0 79 83 .6 3 14 7 16 .4 09 8 H ol lo la 25 2 82 88 .8 3 18 9 11 .2 82 33 .5 16 2 66 .5 38 14 .6 22 0 85 .4 25 4 02 87 .7 3 57 1 12 .3 10 3 H um pp ila 5 88 9 82 .9 1 21 5 17 .1 30 24 .3 95 75 .7 12 5. 6 19 5 94 .4 5 93 1 79 .8 1 50 5 20 .2 10 6 H yv in kä ä 15 6 77 81 .1 3 65 1 18 .9 10 1 29 .7 23 8 70 .3 19 7. 7 22 9 92 .3 15 7 96 79 .3 4 11 8 20 .7 10 9 H äm ee nl in na 10 0 51 7 81 .8 22 4 34 18 .2 38 8 29 .9 90 8 70 .1 11 4 10 .0 1 02 7 90 .0 10 1 01 8 80 .6 24 3 70 19 .4 11 1 H ei no la 46 8 87 85 .4 8 00 0 14 .6 39 7 67 .0 19 6 33 .0 52 14 .3 31 0 85 .7 47 3 36 84 .8 8 50 6 15 .2 16 5 J an ak ka la 27 1 82 81 .9 5 99 0 18 .1 15 3 29 .8 35 9 70 .2 36 8. 2 40 5 91 .8 27 3 71 80 .2 6 75 5 19 .8 16 9 J ok io in en 7 08 1 90 .8 71 7 9. 2 5 10 .3 41 89 .7 85 50 .9 82 49 .1 7 17 1 89 .5 84 1 10 .5 18 6 J är ve np ää 1 22 8 91 .7 11 1 8. 3 35 89 .0 4 11 .0 14 68 .4 7 31 .6 1 27 7 91 .3 12 1 8. 7 22 3 K ar ja lo hj a 6 07 0 87 .1 89 9 12 .9 32 3 81 .9 71 18 .1 69 44 .9 85 55 .1 6 46 1 86 .0 1 05 5 14 .0 22 4 K ar kk ila 13 4 24 85 .3 2 31 1 14 .7 20 6 58 .5 14 6 41 .5 2 2. 8 85 97 .2 13 6 33 84 .3 2 54 3 15 .7 24 5 K er av a 1 09 8 90 .0 12 2 10 .0 53 91 .8 5 8. 2 15 75 .3 5 24 .7 1 16 6 89 .9 13 1 10 .1 28 3 H äm ee nk os ki 10 1 93 88 .2 1 36 7 11 .8 11 15 .7 58 84 .3 26 31 .0 58 69 .0 10 2 30 87 .3 1 48 3 12 .7 31 6 K är kö lä 11 5 17 84 .2 2 15 9 15 .8 17 8. 4 18 9 91 .6 38 17 .2 18 2 82 .8 11 5 72 82 .1 2 53 0 17 .9 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 76 Ta bl e 2c . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 39 8 L ah ti 6 09 5 91 .2 58 6 8. 8 51 65 .5 27 34 .5 19 40 .2 29 59 .8 6 16 6 90 .6 64 2 9. 4 43 3 L op pi 33 3 84 80 .4 8 12 3 19 .6 38 0 43 .8 48 8 56 .2 42 13 .4 27 1 86 .6 33 8 06 79 .2 8 88 1 20 .8 44 4 L oh ja 16 9 93 90 .0 1 88 0 10 .0 74 5 86 .7 11 4 13 .3 13 7 53 .3 12 0 46 .7 17 8 75 89 .4 2 11 5 10 .6 50 4 M yr sk yl ä- M ör sk om 10 0 37 86 .7 1 54 1 13 .3 19 5 76 .5 60 23 .5 0 0. 0 55 10 0. 0 10 2 32 86 .1 1 65 6 13 .9 50 5 M än ts äl ä 28 6 67 84 .2 5 38 2 15 .8 71 19 .0 30 5 81 .0 83 22 .7 28 2 77 .3 28 8 22 82 .8 5 96 9 17 .2 53 2 N as to la 18 5 05 87 .4 2 67 0 12 .6 32 0 66 .4 16 2 33 .6 49 22 .0 17 4 78 .0 18 8 75 86 .3 3 00 6 13 .7 54 0 N um m i-P us ul a 24 3 74 86 .4 3 83 4 13 .6 90 0 81 .0 21 1 19 .0 14 0 50 .5 13 7 49 .5 25 4 14 85 .9 4 18 2 14 .1 54 3 N ur m ijä rv i 14 9 55 89 .4 1 77 0 10 .6 44 9 82 .2 97 17 .8 66 45 .5 79 54 .5 15 4 70 88 .8 1 94 6 11 .2 56 0 O rim at til a 30 5 92 90 .0 3 38 3 10 .0 25 4 67 .5 12 2 32 .5 51 23 .8 16 3 76 .2 30 8 96 89 .4 3 66 8 10 .6 57 6 P ad as jo ki 32 9 43 83 .2 6 66 1 16 .8 25 4 55 .9 20 0 44 .1 16 9. 5 15 1 90 .5 33 2 13 82 .6 7 01 2 17 .4 61 1 P or na in en 6 73 8 86 .8 1 02 5 13 .2 17 0 81 .3 39 18 .7 0 0. 0 34 10 0. 0 6 90 8 86 .3 1 09 8 13 .7 61 6 P uk ki la 5 92 1 87 .3 86 3 12 .7 62 69 .5 27 30 .5 0 0. 0 37 10 0. 0 5 98 3 86 .6 92 7 13 .4 69 4 R iih im äk i 5 77 4 85 .0 1 02 3 15 .0 27 32 .7 56 67 .3 10 19 .3 42 80 .7 5 81 1 83 .8 1 12 1 16 .2 78 1 S ys m ä 46 8 06 90 .0 5 19 0 10 .0 15 2 45 .4 18 3 54 .6 48 36 .0 85 64 .0 47 0 06 89 .6 5 45 8 10 .4 83 4 Ta m m el a 29 0 32 73 .6 10 4 24 26 .4 11 1 17 .2 53 6 82 .8 13 1. 6 80 5 98 .4 29 1 56 71 .2 11 7 65 28 .8 85 8 Tu us ul a 8 83 1 87 .7 1 24 1 12 .3 22 0 79 .0 59 21 .0 7 9. 2 70 90 .8 9 05 8 86 .9 1 37 0 13 .1 92 7 V ih ti 24 5 36 87 .9 3 36 3 12 .1 82 7 84 .3 15 4 15 .7 86 31 .4 18 9 68 .6 25 4 49 87 .3 3 70 6 12 .7 98 1 Y pä jä 6 61 3 85 .5 1 12 0 14 .5 15 19 .1 65 80 .9 56 35 .5 10 2 64 .5 6 68 5 83 .9 1 28 7 16 .1 To ta l 75 7 79 0 84 .8 13 5 89 8 15 .2 8 10 4 54 .8 6 69 1 45 .2 1 57 1 18 .8 6 77 0 81 .2 76 7 46 5 83 .7 14 9 35 9 16 .3 Ka ak ko is -S uo m i 07 5 H am in a 35 9 06 82 .6 7 57 9 17 .4 64 8 65 .3 34 5 34 .7 32 6 36 .1 57 7 63 .9 36 8 80 81 .3 8 50 1 18 .7 14 2 Ii tti 34 2 47 86 .7 5 23 3 13 .3 32 8 67 .1 16 1 32 .9 49 17 .4 23 1 82 .6 34 6 24 86 .0 5 62 5 14 .0 15 3 Im at ra 8 73 7 88 .9 1 09 4 11 .1 58 83 .1 12 16 .9 48 54 .5 40 45 .5 8 84 3 88 .5 1 14 6 11 .5 28 5 K ot ka 14 8 02 83 .6 2 90 0 16 .4 24 0 64 .4 13 3 35 .6 18 0 52 .8 16 1 47 .2 15 2 23 82 .7 3 19 4 17 .3 28 6 K ou vo la 13 8 59 5 80 .5 33 5 64 19 .5 1 11 0 49 .3 1 14 2 50 .7 25 9 15 .3 1 43 6 84 .7 13 9 96 4 79 .5 36 1 42 20 .5 40 5 L ap pe en ra nt a 60 0 97 83 .1 12 2 55 16 .9 59 6 51 .9 55 2 48 .1 28 2 25 .7 81 5 74 .3 60 9 76 81 .7 13 6 22 18 .3 41 6 L em i 13 8 37 85 .2 2 39 7 14 .8 74 36 .6 12 8 63 .4 34 12 .7 23 6 87 .3 13 9 45 83 .5 2 76 1 16 .5 44 1 L uu m äk i 44 2 58 75 .1 14 6 51 24 .9 36 5 30 .9 81 7 69 .1 18 9 19 .2 79 9 80 .8 44 8 13 73 .4 16 2 68 26 .6 48 9 M ie hi kk äl ä 25 2 68 80 .3 6 19 8 19 .7 53 5 67 .3 26 0 32 .7 28 6 43 .1 37 7 56 .9 26 0 89 79 .2 6 83 6 20 .8 58 0 P ar ik ka la 35 4 31 82 .7 7 40 0 17 .3 83 27 .6 21 8 72 .4 64 16 .9 31 7 83 .1 35 5 79 81 .8 7 93 5 18 .2 62 4 P yh tä ä- Py tti s 14 9 81 84 .3 2 79 0 15 .7 61 8 86 .4 97 13 .6 10 4 40 .0 15 6 60 .0 15 7 03 83 .8 3 04 3 16 .2 68 9 R au tjä rv i 23 7 32 83 .7 4 63 6 16 .3 67 49 .1 69 50 .9 61 32 .6 12 7 67 .4 23 8 60 83 .2 4 83 2 16 .8 70 0 R uo ko la ht i 64 8 92 81 .3 14 8 89 18 .7 38 3 38 .4 61 5 61 .6 23 4 27 .3 62 5 72 .7 65 5 09 80 .2 16 1 28 19 .8 73 9 S av ita ip al e 35 8 04 83 .6 7 04 3 16 .4 25 0 42 .8 33 5 57 .2 12 6 25 .7 36 3 74 .3 36 1 80 82 .4 7 74 1 17 .6 77 5 S uo m en ni em i 20 4 61 85 .0 3 62 3 15 .0 13 2 41 .8 18 4 58 .2 37 18 .2 16 7 81 .8 20 6 30 83 .8 3 97 5 16 .2 83 1 Ta ip al sa ar i 22 8 58 87 .9 3 13 8 12 .1 20 3 53 .2 17 9 46 .8 99 32 .6 20 5 67 .4 23 1 60 86 .8 3 52 2 13 .2 93 5 V iro la ht i 21 5 28 83 .8 4 17 2 16 .2 84 4 81 .5 19 2 18 .5 42 5 53 .0 37 7 47 .0 22 7 97 82 .8 4 74 1 17 .2 97 8 Y lä m aa 23 8 31 78 .9 6 36 0 21 .1 23 5 46 .1 27 5 53 .9 14 3 24 .9 43 1 75 .1 24 2 10 77 .4 7 06 6 22 .6 To ta l 63 9 26 6 82 .0 13 9 92 3 18 .0 6 77 1 54 .2 5 71 4 45 .8 2 94 9 28 .4 7 44 0 71 .6 64 8 98 6 80 .9 15 3 07 6 19 .1 Pi rk an m aa 02 0 A ka a 4 46 2 87 .2 65 5 12 .8 13 32 .7 27 67 .3 13 8. 6 13 7 91 .4 4 48 8 84 .6 81 9 15 .4 10 8 H äm ee nk yr ö 22 6 88 80 .7 5 42 0 19 .3 20 3 37 .5 33 7 62 .5 0 0. 0 26 8 10 0. 0 22 8 91 79 .2 6 02 5 20 .8 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 77 Ta bl e 2c . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 14 3 Ik aa lin en 42 7 69 77 .8 12 2 08 22 .2 49 0 31 .6 1 06 0 68 .4 0 0. 0 65 9 10 0. 0 43 2 59 75 .6 13 9 27 24 .4 17 7 J uu pa jo ki 16 2 14 83 .3 3 24 1 16 .7 16 3 44 .3 20 5 55 .7 0 0. 0 16 9 10 0. 0 16 3 77 81 .9 3 61 6 18 .1 21 1 K an ga sa la 27 4 82 87 .8 3 80 4 12 .2 10 5 32 .3 22 1 67 .7 14 4. 0 34 9 96 .0 27 6 01 86 .3 4 37 4 13 .7 25 0 K ih ni ö 16 7 37 61 .2 10 6 16 38 .8 36 4. 1 84 0 95 .9 1 0. 1 62 6 99 .9 16 7 73 58 .1 12 0 83 41 .9 28 9 K uh m al ah ti 10 1 08 82 .0 2 22 0 18 .0 81 43 .3 10 5 56 .7 6 9. 2 64 90 .8 10 1 95 81 .0 2 38 9 19 .0 31 0 K yl m äk os ki 9 16 4 85 .3 1 57 3 14 .7 26 16 .2 13 3 83 .8 37 22 .3 12 7 77 .7 9 22 6 83 .4 1 83 3 16 .6 41 8 L em pä äl ä 15 5 69 90 .9 1 56 3 9. 1 66 43 .4 87 56 .6 0 0. 0 22 3 10 0. 0 15 6 36 89 .3 1 87 2 10 .7 50 8 M än ttä -V ilp pu la 36 0 93 83 .9 6 94 0 16 .1 30 2 46 .3 35 0 53 .7 0 0. 0 23 9 10 0. 0 36 3 95 82 .9 7 52 9 17 .1 53 6 N ok ia 16 7 91 91 .2 1 62 7 8. 8 99 49 .6 10 1 50 .4 2 0. 6 25 9 99 .4 16 8 92 89 .5 1 98 7 10 .5 56 2 O riv es i 53 9 08 86 .6 8 34 9 13 .4 41 2 48 .7 43 4 51 .3 0 0. 0 46 5 10 0. 0 54 3 20 85 .5 9 24 7 14 .5 58 1 P ar ka no 40 7 27 62 .9 24 0 34 37 .1 20 4 7. 0 2 70 7 93 .0 14 0. 6 2 23 4 99 .4 40 9 45 58 .6 28 9 76 41 .4 60 4 P irk ka la 4 61 5 92 .7 36 2 7. 3 17 43 .1 22 56 .9 1 1. 7 65 98 .3 4 63 3 91 .2 44 9 8. 8 61 9 P un ka la id un 14 6 08 80 .6 3 51 5 19 .4 18 1 45 .4 21 7 54 .6 0 0. 0 46 5 10 0. 0 14 7 89 77 .9 4 19 7 22 .1 63 5 P äl kä ne 35 6 62 88 .0 4 87 4 12 .0 18 2 52 .4 16 5 47 .6 30 13 .0 20 2 87 .0 35 8 73 87 .3 5 24 0 12 .7 70 2 R uo ve si 50 2 85 86 .2 8 08 3 13 .8 53 6 52 .8 48 0 47 .2 0 0. 0 32 1 10 0. 0 50 8 22 85 .1 8 88 5 14 .9 79 0 S as ta m al a 70 8 69 86 .4 11 1 33 13 .6 1 13 7 56 .8 86 4 43 .2 85 9. 4 81 6 90 .6 72 0 91 84 .9 12 8 12 15 .1 83 7 Ta m pe re 33 1 64 87 .8 4 59 8 12 .2 25 9 50 .7 25 2 49 .3 75 17 .2 36 0 82 .8 33 4 98 86 .5 5 21 1 13 .5 88 7 U rja la 23 3 75 82 .4 4 99 6 17 .6 11 9 21 .0 44 8 79 .0 25 3. 4 69 7 96 .6 23 5 18 79 .3 6 14 1 20 .7 90 8 V al ke ak os ki 12 2 58 88 .3 1 62 0 11 .7 28 28 .0 73 72 .0 5 2. 3 22 7 97 .7 12 2 91 86 .5 1 91 9 13 .5 92 2 V es ila ht i 14 1 35 87 .7 1 97 8 12 .3 70 45 .3 85 54 .7 30 10 .6 25 3 89 .4 14 2 35 86 .0 2 31 6 14 .0 93 6 V irr at 67 4 52 73 .6 24 2 35 26 .4 26 3 12 .6 1 82 4 87 .4 10 0. 5 1 99 6 99 .5 67 7 25 70 .7 28 0 55 29 .3 98 0 Y lö jä rv i 68 2 13 78 .7 18 5 02 21 .3 58 4 30 .1 1 35 6 69 .9 0 0. 0 1 06 7 10 0. 0 68 7 97 76 .7 20 9 25 23 .3 To ta l 70 7 34 8 81 .0 16 6 14 6 19 .0 5 57 7 31 .0 12 3 94 69 .0 34 8 2. 8 12 2 88 97 .2 71 3 27 3 78 .9 19 0 82 8 21 .1 Et el ä- Sa vo 04 6 E no nk os ki 19 4 94 87 .6 2 77 0 12 .4 99 59 .8 67 40 .2 60 32 .2 12 6 67 .8 19 6 54 86 .9 2 96 4 13 .1 09 0 H ei nä ve si 72 4 07 83 .1 14 7 59 16 .9 20 2 40 .7 29 4 59 .3 21 2 31 .3 46 5 68 .7 72 8 21 82 .4 15 5 18 17 .6 09 7 H irv en sa lm i 29 8 79 85 .3 5 15 7 14 .7 19 1 43 .1 25 2 56 .9 53 17 .6 24 8 82 .4 30 1 23 84 .2 5 65 7 15 .8 17 1 J or oi ne n 33 1 74 73 .2 12 1 16 26 .8 14 3. 3 41 5 96 .7 46 8. 5 49 3 91 .5 33 2 34 71 .8 13 0 25 28 .2 17 8 J uv a 69 1 81 75 .0 23 0 71 25 .0 45 4 31 .9 97 0 68 .1 12 7 12 .5 88 9 87 .5 69 7 62 73 .7 24 9 30 26 .3 21 3 K an ga sn ie m i 68 4 33 76 .8 20 7 24 23 .2 96 12 .3 68 0 87 .7 11 8 18 .2 53 2 81 .8 68 6 47 75 .8 21 9 36 24 .2 24 6 K er im äk i 35 3 05 78 .3 9 81 0 21 .7 15 4 23 .3 50 6 76 .7 87 15 .0 49 3 85 .0 35 5 46 76 .7 10 8 08 23 .3 49 1 M ik ke li 10 2 75 4 77 .8 29 2 72 22 .2 59 8 25 .6 1 73 5 74 .4 14 7 7. 3 1 87 9 92 .7 10 3 49 9 75 .9 32 8 86 24 .1 50 7 M än ty ha rju 67 0 97 82 .7 13 9 95 17 .3 41 1 37 .9 67 3 62 .1 14 0 17 .4 66 6 82 .6 67 6 48 81 .5 15 3 34 18 .5 58 8 P er tu nm aa 25 3 35 83 .3 5 07 8 16 .7 10 3 43 .4 13 5 56 .6 23 10 .2 20 4 89 .8 25 4 62 82 .5 5 41 7 17 .5 59 3 P ie ks äm äk i 92 7 08 69 .6 40 5 33 30 .4 32 2. 3 1 34 6 97 .7 0 0. 0 98 6 10 0. 0 92 7 40 68 .4 42 8 65 31 .6 61 8 P un ka ha rju 31 7 64 83 .1 6 47 0 16 .9 13 5 41 .9 18 7 58 .1 86 21 .7 30 9 78 .3 31 9 85 82 .1 6 96 6 17 .9 62 3 P uu m al a 59 7 96 89 .4 7 06 2 10 .6 51 3 59 .1 35 4 40 .9 12 0 18 .5 52 9 81 .5 60 4 29 88 .4 7 94 5 11 .6 68 1 R an ta sa lm i 33 0 66 80 .3 8 10 6 19 .7 10 7 30 .4 24 4 69 .6 84 16 .5 42 4 83 .5 33 2 56 79 .1 8 77 4 20 .9 69 6 R is tii na 38 9 38 84 .8 6 96 5 15 .2 22 5 50 .6 22 0 49 .4 57 13 .1 37 4 86 .9 39 2 20 83 .8 7 55 9 16 .2 74 0 S av on lin na 83 4 19 85 .8 13 7 87 14 .2 46 0 52 .7 41 4 47 .3 20 2 22 .9 68 0 77 .1 84 0 81 85 .0 14 8 81 15 .0 76 8 S ul ka va 42 3 77 85 .9 6 96 2 14 .1 29 9 54 .8 24 6 45 .2 18 1 40 .7 26 4 59 .3 42 8 56 85 .2 7 47 2 14 .8 To ta l 90 5 13 0 80 .0 22 6 63 7 20 .0 4 09 3 31 .9 8 73 9 68 .1 1 74 3 15 .4 9 55 9 84 .6 91 0 96 6 78 .8 24 4 93 6 21 .2 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 78 Ta bl e 2c . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % Et el ä- Po hj an m aa 00 5 A la jä rv i 46 5 29 62 .2 28 2 82 37 .8 40 5 9. 8 3 73 7 90 .2 0 0. 0 2 86 6 10 0. 0 46 9 33 57 .4 34 8 85 42 .6 01 0 A la vu s 35 9 43 66 .4 18 2 02 33 .6 18 1 6. 3 2 67 5 93 .7 1 0. 0 2 15 0 10 0. 0 36 1 25 61 .1 23 0 27 38 .9 05 2 E vi jä rv i 12 8 38 54 .8 10 6 09 45 .2 19 5 8. 5 2 09 2 91 .5 22 1. 1 1 98 4 98 .9 13 0 55 47 .1 14 6 84 52 .9 07 4 H al su a 14 7 65 55 .5 11 8 24 44 .5 28 2 7. 5 3 45 7 92 .5 56 1. 6 3 48 7 98 .4 15 1 03 44 .6 18 7 68 55 .4 09 5 H im an ka 10 9 84 61 .1 7 00 0 38 .9 21 5 17 .7 1 00 2 82 .3 43 7. 0 57 2 93 .0 11 2 42 56 .7 8 57 4 43 .3 14 5 Il m aj ok i 23 3 39 69 .4 10 2 83 30 .6 32 4 30 .1 75 3 69 .9 14 1. 9 73 2 98 .1 23 6 77 66 .8 11 7 68 33 .2 15 1 Is oj ok i 26 5 95 61 .4 16 7 47 38 .6 32 6 14 .0 2 00 4 86 .0 4 0. 1 3 25 2 99 .9 26 9 25 55 .0 22 0 03 45 .0 15 2 Is ok yr ö 12 4 43 65 .5 6 56 2 34 .5 26 0 21 .1 97 1 78 .9 44 5. 2 80 1 94 .8 12 7 47 60 .5 8 33 4 39 .5 16 4 J al as jä rv i 32 2 93 64 .8 17 5 09 35 .2 17 3 6. 8 2 34 9 93 .2 1 0. 0 3 00 1 10 0. 0 32 4 67 58 .7 22 8 60 41 .3 21 7 K an nu s 16 1 80 50 .4 15 9 26 49 .6 16 5 6. 1 2 55 8 93 .9 28 1. 8 1 55 5 98 .2 16 3 74 45 .0 20 0 39 55 .0 21 8 K ar ijo ki 7 69 9 62 .9 4 54 5 37 .1 86 13 .8 53 6 86 .2 13 3. 0 43 2 97 .0 7 79 8 58 .6 5 51 3 41 .4 23 2 K au ha jo ki 46 6 03 59 .8 31 3 91 40 .2 52 6 10 .0 4 74 3 90 .0 5 0. 1 5 51 8 99 .9 47 1 33 53 .1 41 6 51 46 .9 23 3 K au ha va 48 9 14 65 .3 26 0 30 34 .7 1 70 5 26 .8 4 66 8 73 .2 92 2. 8 3 16 2 97 .2 50 7 11 60 .0 33 8 60 40 .0 23 6 K au st in en 12 8 42 56 .1 10 0 59 43 .9 19 6 9. 2 1 92 7 90 .8 22 1. 2 1 80 9 98 .8 13 0 59 48 .6 13 7 95 51 .4 27 2 K ok ko la -K ar le by 57 5 79 61 .9 35 4 21 38 .1 1 10 8 15 .1 6 20 5 84 .9 14 7 2. 7 5 36 2 97 .3 58 8 33 55 .6 46 9 88 44 .4 30 0 K uo rta ne 21 7 02 65 .4 11 4 79 34 .6 21 3 15 .0 1 20 7 85 .0 0 0. 0 1 03 6 10 0. 0 21 9 15 61 .5 13 7 22 38 .5 30 1 K ur ik ka 39 3 92 66 .9 19 4 86 33 .1 42 7 16 .5 2 15 7 83 .5 56 3. 0 1 81 2 97 .0 39 8 75 63 .0 23 4 54 37 .0 39 9 L ai hi a 20 2 32 63 .1 11 8 32 36 .9 18 0 13 .6 1 14 1 86 .4 38 4. 4 82 3 95 .6 20 4 51 59 .7 13 7 96 40 .3 40 3 L ap pa jä rv i 16 3 16 57 .8 11 9 20 42 .2 38 4 15 .2 2 13 8 84 .8 30 2. 2 1 35 6 97 .8 16 7 30 52 .0 15 4 14 48 .0 40 8 L ap ua 25 3 47 61 .1 16 1 60 38 .9 55 9 16 .5 2 82 6 83 .5 50 2. 0 2 43 3 98 .0 25 9 56 54 .8 21 4 19 45 .2 42 1 L es tij är vi 18 4 22 56 .7 14 0 91 43 .3 27 0 8. 3 2 98 1 91 .7 0 0. 0 3 73 0 10 0. 0 18 6 92 47 .3 20 8 02 52 .7 58 4 P er ho 27 5 19 58 .7 19 4 00 41 .3 30 4 5. 2 5 49 3 94 .8 0 0. 0 6 05 0 10 0. 0 27 8 23 47 .3 30 9 43 52 .7 74 3 S ei nä jo ki 55 9 08 64 .4 30 9 35 35 .6 53 1 10 .9 4 34 0 89 .1 0 0. 0 5 15 2 10 0. 0 56 4 39 58 .3 40 4 27 41 .7 75 9 S oi ni 26 6 09 62 .9 15 7 01 37 .1 10 4 4. 3 2 32 2 95 .7 0 0. 0 2 29 7 10 0. 0 26 7 13 56 .8 20 3 21 43 .2 84 6 Te uv a 23 3 66 65 .6 12 2 67 34 .4 33 0 16 .7 1 63 8 83 .3 65 5. 2 1 18 5 94 .8 23 7 60 61 .2 15 0 91 38 .8 84 9 To ho la m pi 20 6 31 55 .8 16 3 20 44 .2 77 2. 1 3 55 2 97 .9 0 0. 0 5 17 9 10 0. 0 20 7 08 45 .3 25 0 51 54 .7 86 3 Tö ys ä 16 1 30 72 .1 6 23 0 27 .9 21 6 25 .1 64 4 74 .9 0 0. 0 38 3 10 0. 0 16 3 46 69 .3 7 25 8 30 .7 92 4 V et el i 16 4 61 53 .6 14 2 32 46 .4 20 7 6. 7 2 88 0 93 .3 25 0. 8 2 99 3 99 .2 16 6 92 45 .4 20 1 04 54 .6 93 4 V im pe li 10 4 86 58 .4 7 47 9 41 .6 17 7 10 .7 1 48 0 89 .3 24 1. 9 1 24 8 98 .1 10 6 88 51 .2 10 2 07 48 .8 94 2 V äh äk yr ö 7 13 9 79 .8 1 80 7 20 .2 57 41 .1 81 58 .9 16 13 .7 10 4 86 .3 7 21 2 78 .4 1 99 2 21 .6 98 9 Ä ht är i 42 4 19 64 .5 23 3 81 35 .5 12 5 5. 3 2 22 7 94 .7 0 0. 0 1 39 0 10 0. 0 42 5 44 61 .2 26 9 98 38 .8 To ta l 79 3 62 3 62 .2 48 3 11 2 37 .8 10 3 05 11 .8 76 7 83 88 .2 79 6 1. 1 73 8 51 98 .9 80 4 72 4 55 .9 63 3 74 6 44 .1 Ke sk i-S uo m i 07 7 H an ka sa lm i 34 4 70 77 .7 9 88 5 22 .3 25 10 .3 22 1 89 .7 10 6 43 .4 13 8 56 .6 34 6 01 77 .2 10 2 44 22 .8 17 2 J ou ts a 55 8 80 81 .7 12 5 10 18 .3 16 6 34 .6 31 3 65 .4 25 5. 5 42 7 94 .5 56 0 70 80 .9 13 2 50 19 .1 17 9 J yv äs ky lä 81 4 95 87 .7 11 4 02 12 .3 25 2 51 .2 24 0 48 .8 52 14 .4 31 1 85 .6 81 8 00 87 .3 11 9 52 12 .7 18 2 J äm sä 10 6 09 4 82 .6 22 3 80 17 .4 18 8 26 .3 52 6 73 .7 75 13 .8 47 1 86 .2 10 6 35 7 82 .0 23 3 77 18 .0 21 6 K an no nk os ki 28 6 55 74 .4 9 86 0 25 .6 19 8 31 .1 43 8 68 .9 0 0. 0 31 8 10 0. 0 28 8 53 73 .1 10 6 17 26 .9 22 6 K ar st ul a 43 6 79 62 .1 26 6 38 37 .9 22 8 7. 9 2 63 9 92 .1 0 0. 0 2 61 1 10 0. 0 43 9 07 57 .9 31 8 87 42 .1 24 9 K eu ru u 78 0 88 73 .9 27 6 24 26 .1 61 7 23 .2 2 04 4 76 .8 0 0. 0 1 33 8 10 0. 0 78 7 05 71 .7 31 0 06 28 .3 25 6 K in nu la 23 5 27 64 .3 13 0 40 35 .7 24 1 11 .5 1 85 3 88 .5 46 4. 4 1 00 1 95 .6 23 8 15 60 .0 15 8 95 40 .0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 79 Ta bl e 2c . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 26 5 K iv ijä rv i 28 1 08 71 .7 11 0 94 28 .3 20 4 18 .1 92 3 81 .9 11 1. 8 62 3 98 .2 28 3 24 69 .1 12 6 41 30 .9 27 5 K on ne ve si 35 3 54 82 .2 7 66 8 17 .8 5 2. 6 20 5 97 .4 0 0. 0 32 1 10 0. 0 35 3 59 81 .2 8 19 4 18 .8 29 1 K uh m oi ne n 46 4 92 86 .7 7 14 7 13 .3 16 1 48 .4 17 2 51 .6 62 44 .8 76 55 .2 46 7 15 86 .3 7 39 4 13 .7 31 2 K yy jä rv i 18 9 14 56 .5 14 5 91 43 .5 11 3 5. 4 1 97 5 94 .6 0 0. 0 1 57 5 10 0. 0 19 0 27 51 .2 18 1 42 48 .8 41 0 L au ka a 42 1 18 86 .8 6 40 3 13 .2 10 1 42 .4 13 8 57 .6 10 3 37 .9 16 9 62 .1 42 3 22 86 .3 6 71 0 13 .7 43 5 L uh an ka 16 0 38 91 .9 1 41 6 8. 1 80 76 .1 25 23 .9 17 21 .6 62 78 .4 16 1 35 91 .5 1 50 3 8. 5 49 5 M ul tia 41 0 45 64 .7 22 3 61 35 .3 19 5 9. 8 1 79 4 90 .2 0 0. 0 1 16 8 10 0. 0 41 2 40 62 .0 25 3 23 38 .0 50 0 M uu ra m e 10 0 99 90 .8 1 02 1 9. 2 19 45 .7 22 54 .3 6 20 .4 25 79 .6 10 1 24 90 .5 1 06 8 9. 5 59 2 P et äj äv es i 30 1 06 79 .7 7 65 4 20 .3 20 6. 3 29 2 93 .7 30 14 .6 17 6 85 .4 30 1 56 78 .8 8 12 2 21 .2 60 1 P ih tip ud as 54 7 32 62 .7 32 6 20 37 .3 37 3 16 .7 1 85 7 83 .3 0 0. 0 2 23 1 10 0. 0 55 1 05 60 .0 36 7 07 40 .0 72 9 S aa rij är vi 72 3 50 71 .2 29 2 01 28 .8 29 8 14 .8 1 71 1 85 .2 0 0. 0 1 35 7 10 0. 0 72 6 48 69 .2 32 2 69 30 .8 85 0 To iva kk a 25 2 86 85 .0 4 45 6 15 .0 15 6 60 .1 10 4 39 .9 37 21 .7 13 2 78 .3 25 4 79 84 .4 4 69 2 15 .6 89 2 U ur ai ne n 21 7 19 76 .5 6 68 0 23 .5 25 6. 4 36 7 93 .6 35 17 .0 17 1 83 .0 21 7 79 75 .1 7 21 9 24 .9 93 1 V iit as aa ri 86 9 08 81 .2 20 1 86 18 .8 26 4 20 .9 1 00 0 79 .1 0 0. 0 74 3 10 0. 0 87 1 72 79 .9 21 9 29 20 .1 99 2 Ä än ek os ki 61 3 06 82 .3 13 2 25 17 .7 37 7. 4 46 4 92 .6 0 0. 0 32 8 10 0. 0 61 3 43 81 .4 14 0 17 18 .6 To ta l 1 04 2 46 2 76 .6 31 9 06 1 23 .4 3 96 8 17 .0 19 3 24 83 .0 60 6 3. 7 15 7 72 96 .3 1 04 7 03 6 74 .7 35 4 15 7 25 .3 Po hj oi s- Sa vo 14 0 Ii sa lm i 43 4 74 78 .5 11 9 32 21 .5 96 22 .6 32 7 77 .4 2 0. 7 31 1 99 .3 43 5 72 77 .6 12 5 70 22 .4 17 4 J ua nk os ki 28 6 29 80 .4 6 96 1 19 .6 29 9. 2 28 0 90 .8 59 17 .6 27 5 82 .4 28 7 16 79 .3 7 51 6 20 .7 20 4 K aa vi 43 6 17 75 .2 14 3 51 24 .8 17 2. 2 75 6 97 .8 19 0 28 .3 48 2 71 .7 43 8 24 73 .8 15 5 89 26 .2 22 7 K ar ttu la 32 3 36 78 .4 8 88 9 21 .6 10 2. 7 36 2 97 .3 2 0. 6 26 8 99 .4 32 3 48 77 .3 9 51 9 22 .7 23 9 K ei te le 28 7 59 70 .4 12 1 15 29 .6 43 5. 9 68 2 94 .1 0 0. 0 31 1 10 0. 0 28 8 02 68 .7 13 1 08 31 .3 26 3 K iu ru ve si 59 8 45 61 .2 37 9 32 38 .8 13 8 3. 9 3 40 3 96 .1 9 0. 6 1 54 6 99 .4 59 9 92 58 .3 42 8 81 41 .7 29 7 K uo pi o 77 3 79 88 .9 9 70 5 11 .1 33 14 .5 19 6 85 .5 33 6. 6 47 0 93 .4 77 4 45 88 .2 10 3 70 11 .8 40 2 L ap in la ht i 34 0 62 74 .6 11 6 05 25 .4 64 13 .8 39 7 86 .2 0 0. 0 29 3 10 0. 0 34 1 26 73 .5 12 2 94 26 .5 42 0 L ep pä vi rta 77 7 41 84 .2 14 6 07 15 .8 52 14 .1 32 0 85 .9 46 7. 1 60 4 92 .9 77 8 40 83 .4 15 5 31 16 .6 47 6 M aa ni nk a 27 3 19 80 .5 6 60 2 19 .5 41 15 .9 21 7 84 .1 6 2. 4 25 8 97 .6 27 3 67 79 .5 7 07 7 20 .5 53 4 N ils iä 43 4 72 78 .7 11 7 74 21 .3 82 15 .2 45 9 84 .8 25 5. 5 42 5 94 .5 43 5 78 77 .5 12 6 57 22 .5 59 5 P ie la ve si 65 3 34 69 .9 28 1 34 30 .1 57 3. 5 1 54 8 96 .5 0 0. 0 1 18 1 10 0. 0 65 3 91 67 .9 30 8 62 32 .1 68 6 R au ta la m pi 34 8 40 80 .0 8 72 9 20 .0 35 10 .7 29 0 89 .3 0 0. 0 23 9 10 0. 0 34 8 75 79 .0 9 25 9 21 .0 68 7 R au ta va ar a 54 1 84 59 .6 36 8 02 40 .4 60 1. 5 4 07 9 98 .5 11 6 3. 8 2 96 9 96 .2 54 3 60 55 .4 43 8 49 44 .6 74 9 S iili nj är vi 23 1 11 85 .3 3 97 7 14 .7 45 30 .8 10 1 69 .2 19 9. 8 17 8 90 .2 23 1 76 84 .5 4 25 5 15 .5 76 2 S on ka jä rv i 71 5 66 61 .4 45 0 36 38 .6 12 1 2. 3 5 03 9 97 .7 93 2. 3 4 01 0 97 .7 71 7 79 57 .0 54 0 85 43 .0 77 8 S uo ne nj ok i 43 7 16 72 .8 16 3 40 27 .2 13 2. 5 51 0 97 .5 0 0. 0 39 6 10 0. 0 43 7 29 71 .7 17 2 46 28 .3 84 4 Te rv o 22 9 53 79 .1 6 06 6 20 .9 26 11 .8 19 7 88 .2 10 3. 9 23 4 96 .1 22 9 89 78 .0 6 49 7 22 .0 85 7 Tu us ni em i 37 7 48 85 .2 6 55 0 14 .8 20 8. 7 20 7 91 .3 3 1. 3 26 6 98 .7 37 7 71 84 .3 7 02 3 15 .7 91 5 V ar ka us 25 6 26 84 .6 4 66 0 15 .4 6 6. 1 97 93 .9 9 3. 0 29 9 97 .0 25 6 42 83 .5 5 05 6 16 .5 91 6 V ar pa is jä rv i 27 1 45 72 .4 10 3 48 27 .6 37 6. 6 52 1 93 .4 23 5. 6 38 6 94 .4 27 2 05 70 .7 11 2 54 29 .3 92 1 V es an to 28 0 70 79 .6 7 17 3 20 .4 31 9. 5 29 9 90 .5 0 0. 0 14 8 10 0. 0 28 1 01 78 .7 7 62 0 21 .3 92 5 V ie re m ä 45 2 49 64 .2 25 2 50 35 .8 79 3. 7 2 03 5 96 .3 14 0. 8 1 61 4 99 .2 45 3 42 61 .1 28 9 00 38 .9 To ta l 97 6 17 5 73 .9 34 5 53 5 26 .1 1 13 4 4. 8 22 3 22 95 .2 65 9 3. 7 17 1 62 96 .3 97 7 96 9 71 .8 38 5 01 9 28 .2 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 80 Ta bl e 2c . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % Po hj oi s- Ka rja la 14 6 Il om an ts i 12 8 77 9 61 .6 80 2 24 38 .4 26 5 2. 1 12 1 64 97 .9 21 3 1. 4 15 1 83 98 .6 12 9 25 6 54 .6 10 7 57 1 45 .4 16 7 J oe ns uu 14 4 69 7 73 .4 52 3 98 26 .6 11 2 3. 7 2 95 5 96 .3 10 4 2. 4 4 21 2 97 .6 14 4 91 4 70 .9 59 5 64 29 .1 17 6 J uu ka 84 8 00 67 .5 40 9 22 32 .5 89 2. 9 2 95 1 97 .1 97 2. 6 3 58 9 97 .4 84 9 86 64 .2 47 4 62 35 .8 24 8 K es äl ah ti 23 4 60 74 .0 8 23 1 26 .0 11 3. 5 31 5 96 .5 23 3. 8 59 2 96 .2 23 4 95 72 .0 9 13 9 28 .0 26 0 K ite e 49 4 07 72 .9 18 3 32 27 .1 10 1. 6 61 4 98 .4 43 3. 9 1 06 8 96 .1 49 4 60 71 .2 20 0 14 28 .8 27 6 K on tio la ht i 48 2 13 73 .4 17 4 96 26 .6 68 7. 2 87 2 92 .8 39 3. 6 1 02 6 96 .4 48 3 19 71 .4 19 3 93 28 .6 30 9 O ut ok um pu 26 3 52 74 .4 9 05 9 25 .6 34 7. 8 40 2 92 .2 27 5. 3 47 8 94 .7 26 4 13 72 .7 9 94 0 27 .3 42 2 L ie ks a 18 9 86 1 69 .2 84 6 38 30 .8 68 8 6. 6 9 76 4 93 .4 20 7 2. 4 8 29 0 97 .6 19 0 75 6 65 .0 10 2 69 1 35 .0 42 6 L ip er i 44 1 47 83 .9 8 48 8 16 .1 54 13 .5 34 6 86 .5 35 5. 9 57 0 94 .1 44 2 36 82 .5 9 40 4 17 .5 54 1 N ur m es 91 8 13 68 .0 43 1 41 32 .0 20 9 5. 8 3 36 6 94 .2 24 4 9. 0 2 48 3 91 .0 92 2 66 65 .3 48 9 90 34 .7 60 7 P ol vi jä rv i 41 6 65 68 .0 19 6 34 32 .0 52 5. 1 96 5 94 .9 20 1. 3 1 49 5 98 .7 41 7 37 65 .4 22 0 95 34 .6 70 7 R ää kk yl ä 24 7 33 75 .7 7 93 2 24 .3 32 9. 4 30 6 90 .6 39 5. 4 68 6 94 .6 24 8 03 73 .5 8 92 3 26 .5 84 8 To hm aj är vi 43 7 32 67 .3 21 2 63 32 .7 57 4. 5 1 21 1 95 .5 34 2. 9 1 14 0 97 .1 43 8 22 65 .0 23 6 14 35 .0 91 1 V al tim o 45 2 01 66 .7 22 5 28 33 .3 38 2. 5 1 46 1 97 .5 86 9. 1 85 5 90 .9 45 3 24 64 .6 24 8 45 35 .4 To ta l 98 6 86 0 69 .4 43 4 28 6 30 .6 1 71 8 4. 4 37 6 93 95 .6 1 21 0 2. 8 41 6 68 97 .2 98 9 78 8 65 .8 51 3 64 7 34 .2 Ka in uu 10 5 H yr yn sa lm i 70 7 08 64 .8 38 3 42 35 .2 39 4 3. 3 11 6 82 96 .7 15 5 2. 5 6 09 8 97 .5 71 2 57 55 .9 56 1 23 44 .1 20 5 K aj aa ni 78 6 40 54 .6 65 3 07 45 .4 14 5 1. 2 11 4 80 98 .8 10 2 1. 3 7 71 3 98 .7 78 8 88 48 .3 84 5 00 51 .7 29 0 K uh m o 22 3 18 8 62 .1 13 6 04 3 37 .9 77 7 2. 6 28 9 33 97 .4 17 9 0. 7 26 1 28 99 .3 22 4 14 4 54 .0 19 1 10 4 46 .0 57 8 P al ta m o 50 2 80 64 .8 27 3 51 35 .2 25 5 6. 4 3 70 5 93 .6 90 3. 7 2 31 5 96 .3 50 6 25 60 .3 33 3 70 39 .7 62 0 P uo la nk a 12 0 75 4 66 .2 61 7 58 33 .8 76 0 3. 2 23 2 48 96 .8 27 2 1. 7 16 0 97 98 .3 12 1 78 6 54 .6 10 1 10 4 45 .4 69 7 R is tij är vi 46 9 85 68 .0 22 1 37 32 .0 36 1 6. 9 4 90 6 93 .1 89 2. 8 3 06 7 97 .2 47 4 35 61 .2 30 1 11 38 .8 76 5 S ot ka m o 13 5 40 3 61 .3 85 3 67 38 .7 25 3 2. 3 10 5 63 97 .7 16 1 2. 2 7 25 8 97 .8 13 5 81 7 56 .8 10 3 18 8 43 .2 77 7 S uo m us sa lm i 26 0 59 0 70 .8 10 7 22 3 29 .2 1 01 4 1. 8 55 2 45 98 .2 59 1 1. 6 35 5 35 98 .4 26 2 19 5 57 .0 19 8 00 3 43 .0 78 5 V aa la 39 3 02 46 .5 45 2 41 53 .5 37 9 3. 2 11 4 57 96 .8 0 0. 0 9 98 8 10 0. 0 39 6 81 37 .3 66 6 86 62 .7 To ta l 1 02 5 85 0 63 .5 58 8 76 9 36 .5 4 33 8 2. 6 16 1 21 9 97 .4 1 63 9 1. 4 11 4 20 0 98 .6 1 03 1 82 7 54 .4 86 4 18 8 45 .6 Po hj oi s- Po hj an m aa 00 9 A la vi es ka 9 28 7 58 .2 6 66 5 41 .8 26 0 20 .6 1 00 3 79 .4 15 1. 8 81 6 98 .2 9 56 2 53 .0 8 48 5 47 .0 06 9 H aa pa jä rv i 32 4 99 55 .7 25 8 27 44 .3 21 9 9. 1 2 17 6 90 .9 0 0. 0 1 94 1 10 0. 0 32 7 18 52 .2 29 9 44 47 .8 07 1 H aa pa ve si 36 2 89 48 .1 39 1 38 51 .9 33 7 5. 9 5 34 9 94 .1 0 0. 0 3 71 4 10 0. 0 36 6 26 43 .2 48 2 01 56 .8 07 2 H ai lu ot o 10 0 96 78 .6 2 75 1 21 .4 47 0 48 .7 49 4 51 .3 36 7. 0 48 6 93 .0 10 6 02 74 .0 3 73 1 26 .0 08 4 H au ki pu da s 19 0 69 63 .0 11 1 93 37 .0 24 3 7. 6 2 95 5 92 .4 12 9 4. 0 3 07 3 96 .0 19 4 42 53 .0 17 2 21 47 .0 13 9 Ii 57 5 96 56 .5 44 3 23 43 .5 97 1 6. 7 13 4 85 93 .3 16 2 1. 0 16 5 12 99 .0 58 7 29 44 .1 74 3 20 55 .9 20 8 K al aj ok i 24 5 77 54 .5 20 4 78 45 .5 1 10 4 24 .8 3 34 0 75 .2 55 5. 0 1 05 6 95 .0 25 7 36 50 .9 24 8 74 49 .1 24 4 K em pe le 3 45 8 58 .5 2 45 3 41 .5 34 6. 6 48 6 93 .4 20 3. 8 51 4 96 .2 3 51 2 50 .4 3 45 3 49 .6 25 5 K iim in ki 12 6 17 59 .0 8 75 8 41 .0 77 3. 1 2 40 5 96 .9 19 0. 8 2 45 4 99 .2 12 7 13 48 .3 13 6 17 51 .7 30 5 K uu sa m o 25 5 66 7 81 .0 59 9 93 19 .0 3 59 7 5. 4 63 0 82 94 .6 44 4 1. 0 42 2 54 99 .0 25 9 70 8 61 .1 16 5 33 0 38 .9 31 7 K är sä m äk i 25 1 25 48 .1 27 0 75 51 .9 17 1 4. 2 3 88 8 95 .8 19 1. 0 1 85 1 99 .0 25 3 15 43 .5 32 8 15 56 .5 42 5 L im in ka 15 1 28 42 .9 20 1 39 57 .1 17 8 3. 8 4 53 3 96 .2 34 0. 8 4 37 9 99 .2 15 3 40 34 .6 29 0 52 65 .4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 81 Ta bl e 2c . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 43 6 L um ijo ki 6 42 0 51 .2 6 11 4 48 .8 96 9. 3 93 3 90 .7 34 5. 9 54 0 94 .1 6 54 9 46 .3 7 58 7 53 .7 48 3 M er ijä rv i 9 33 5 54 .6 7 77 2 45 .4 25 8 21 .8 92 4 78 .2 13 3. 0 43 3 97 .0 9 60 5 51 .3 9 12 9 48 .7 49 4 M uh os 24 3 13 50 .8 23 5 42 49 .2 29 1 4. 3 6 55 4 95 .7 0 0. 0 8 92 7 10 0. 0 24 6 05 38 .7 39 0 24 61 .3 53 5 N iva la 19 8 90 65 .4 10 5 37 34 .6 21 2 19 .7 86 5 80 .3 21 3. 4 59 5 96 .6 20 1 24 62 .7 11 9 96 37 .3 56 3 O ul ai ne n 24 6 24 56 .4 19 0 68 43 .6 53 2 17 .0 2 59 4 83 .0 5 0. 5 98 9 99 .5 25 1 61 52 .6 22 6 52 47 .4 56 4 O ul u 48 2 23 53 .6 41 7 93 46 .4 22 7 1. 9 11 9 06 98 .1 33 0. 2 13 7 19 99 .8 48 4 84 41 .8 67 4 18 58 .2 56 7 O ul un sa lo 3 32 8 68 .8 1 51 2 31 .2 55 21 .2 20 4 78 .8 32 12 .2 22 8 87 .8 3 41 4 63 .7 1 94 4 36 .3 61 5 P ud as jä rv i 20 2 84 6 59 .6 13 7 56 3 40 .4 2 32 9 3. 9 57 8 78 96 .1 28 7 0. 4 78 8 33 99 .6 20 5 46 2 42 .8 27 4 27 4 57 .2 62 5 P yh äj ok i 22 7 65 55 .5 18 2 69 44 .5 69 8 19 .3 2 91 3 80 .7 44 3. 1 1 34 8 96 .9 23 5 07 51 .1 22 5 31 48 .9 62 6 P yh äs al m i 56 7 82 53 .9 48 6 49 46 .1 46 8 8. 7 4 91 1 91 .3 0 0. 0 4 12 7 10 0. 0 57 2 49 49 .8 57 6 88 50 .2 63 0 P yh än tä 24 5 87 42 .9 32 7 56 57 .1 20 7 3. 3 6 15 5 96 .7 0 0. 0 6 74 9 10 0. 0 24 7 94 35 .2 45 6 60 64 .8 67 8 R aa he 22 7 55 58 .6 16 1 02 41 .4 18 4 6. 2 2 78 8 93 .8 78 3. 9 1 90 1 96 .1 23 0 17 52 .5 20 7 91 47 .5 69 1 R ei sj är vi 20 0 95 58 .8 14 1 04 41 .2 29 5 11 .9 2 17 6 88 .1 1 0. 1 1 23 5 99 .9 20 3 91 53 .8 17 5 15 46 .2 74 6 S ie vi 29 6 56 55 .0 24 2 48 45 .0 67 4 10 .3 5 86 9 89 .7 0 0. 0 3 94 3 10 0. 0 30 3 30 47 .1 34 0 60 52 .9 74 8 S iik aj ok i 33 2 76 49 .0 34 6 21 51 .0 41 1 6. 4 6 02 0 93 .6 20 0. 5 3 85 2 99 .5 33 7 06 43 .1 44 4 94 56 .9 79 1 S iik al at va 63 9 03 42 .1 87 8 71 57 .9 35 4 2. 4 14 3 54 97 .6 0 0. 0 12 2 63 10 0. 0 64 2 56 35 .9 11 4 48 8 64 .1 83 2 Ta iva lko sk i 12 9 52 9 78 .9 34 7 05 21 .1 2 07 1 7. 3 26 1 33 92 .7 41 1 1. 7 24 1 12 98 .3 13 2 01 1 60 .8 84 9 51 39 .2 85 9 Ty rn äv ä 13 4 62 47 .7 14 7 65 52 .3 18 8 4. 5 3 99 1 95 .5 31 0. 9 3 56 2 99 .1 13 6 81 38 .0 22 3 18 62 .0 88 9 U ta jä rv i 47 3 08 45 .8 55 9 26 54 .2 46 3 2. 9 15 5 84 97 .1 0 0. 0 19 0 47 10 0. 0 47 7 71 34 .5 90 5 57 65 .5 92 6 V ih an ti 15 4 13 44 .6 19 1 79 55 .4 12 9 3. 8 3 31 1 96 .2 0 0. 0 2 29 7 10 0. 0 15 5 42 38 .5 24 7 88 61 .5 97 2 Y li- Ii 23 7 50 47 .3 26 5 13 52 .7 17 8 2. 3 7 42 8 97 .7 6 0. 1 9 41 6 99 .9 23 9 34 35 .6 43 3 57 64 .4 97 7 Y liv ie sk a 23 1 63 57 .1 17 4 22 42 .9 41 8 16 .7 2 07 8 83 .3 8 0. 7 1 20 8 99 .3 23 5 89 53 .3 20 7 09 46 .7 To ta l 1 36 6 83 2 58 .7 96 1 82 4 41 .3 18 3 97 6. 0 28 8 76 9 94 .0 1 95 8 0. 7 27 8 37 7 99 .3 1 38 7 18 7 47 .6 1 52 8 97 0 52 .4 La pl an d 04 7 E no nt ek iö 63 2 05 95 .5 2 95 1 4. 5 62 3 87 80 .3 15 3 49 19 .7 56 4 38 44 .9 69 1 76 55 .1 18 2 03 1 67 .5 87 4 76 32 .5 14 8 In ar i 38 0 28 5 98 .2 6 78 3 1. 8 94 6 42 64 .4 52 2 93 35 .6 35 6 69 35 .6 64 5 71 64 .4 51 0 59 7 80 .5 12 3 64 7 19 .5 24 0 K em i 4 60 8 76 .2 1 43 8 23 .8 26 7. 3 33 3 92 .7 21 9. 9 18 9 90 .1 4 65 5 70 .4 1 96 1 29 .6 24 1 K em in m aa 21 5 64 53 .7 18 5 79 46 .3 14 2 2. 9 4 67 6 97 .1 7 0. 1 5 59 6 99 .9 21 7 13 42 .9 28 8 51 57 .1 26 1 K itt ilä 33 4 31 9 87 .8 46 5 80 12 .2 9 33 6 6. 8 12 8 00 8 93 .2 2 37 8 2. 5 93 5 20 97 .5 34 6 03 3 56 .3 26 8 10 8 43 .7 27 3 K ol ar i 12 2 56 8 73 .9 43 3 53 26 .1 3 52 9 7. 8 41 8 51 92 .2 67 3 3. 4 19 0 31 96 .6 12 6 77 1 54 .9 10 4 23 5 45 .1 32 0 K em ijä rv i 19 4 98 8 79 .6 49 8 45 20 .4 2 40 6 4. 9 47 1 00 95 .1 80 3 2. 1 37 1 52 97 .9 19 8 19 7 59 .6 13 4 09 7 40 .4 49 8 M uo ni o 95 4 21 94 .1 6 02 6 5. 9 7 15 8 26 .5 19 8 63 73 .5 88 5 4. 3 19 8 00 95 .7 10 3 46 4 69 .4 45 6 89 30 .6 58 3 P el ko se nn ie m i 78 5 79 73 .7 28 0 60 26 .3 1 35 2 5. 2 24 6 37 94 .8 56 3 2. 1 25 9 99 97 .9 80 4 94 50 .6 78 6 96 49 .4 61 4 P os io 13 9 67 5 79 .1 36 8 95 20 .9 2 88 4 7. 2 37 2 99 92 .8 1 01 9 2. 7 37 1 30 97 .3 14 3 57 9 56 .3 11 1 32 5 43 .7 68 3 R an ua 12 4 88 8 61 .5 78 1 13 38 .5 2 24 1 4. 4 49 1 69 95 .6 80 2 1. 5 54 4 13 98 .5 12 7 93 1 41 .3 18 1 69 5 58 .7 69 8 R ov an ie m i 40 0 34 0 76 .0 12 6 23 4 24 .0 6 41 3 5. 6 10 7 62 5 94 .4 1 16 9 1. 7 67 8 93 98 .3 40 7 92 2 57 .5 30 1 75 2 42 .5 73 2 S al la 26 2 43 6 83 .0 53 8 12 17 .0 24 6 25 27 .6 64 5 54 72 .4 6 35 8 8. 9 64 7 19 91 .1 29 3 42 0 61 .6 18 3 08 5 38 .4 74 2 S av uk os ki 29 8 22 3 89 .5 34 9 50 10 .5 14 4 52 19 .6 59 1 84 80 .4 3 26 2 4. 8 64 2 26 95 .2 31 5 93 6 66 .6 15 8 36 0 33 .4 75 1 S im o 40 1 45 52 .0 37 1 20 48 .0 77 2 4. 9 14 9 30 95 .1 13 0 0. 9 14 9 77 99 .1 41 0 47 38 .0 67 0 26 62 .0 75 8 S od an ky lä 43 7 24 4 88 .8 54 9 83 11 .2 18 5 17 13 .0 12 3 59 0 87 .0 6 95 4 4. 3 15 5 78 7 95 .7 46 2 71 5 58 .1 33 4 35 9 41 .9 84 5 Te rv ol a 51 4 94 50 .4 50 6 08 49 .6 59 0 3. 4 16 9 65 96 .6 16 8 1. 6 10 6 74 98 .4 52 2 53 40 .0 78 2 47 60 .0 85 1 To rn io 42 9 16 55 .0 35 0 99 45 .0 67 0. 6 11 0 45 99 .4 17 1 2. 0 8 34 5 98 .0 43 1 54 44 .2 54 4 90 55 .8 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 82 Ta bl e 2c . C on tin u e d Fo re st ry c en tre Fo re st la nd Po or ly p ro du ct ive fo re st la nd U np ro du ct ive la nd To ta l M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M in er al so il Pe at la nd M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % 85 4 P el lo 99 9 00 75 .9 31 7 17 24 .1 2 90 1 13 .6 18 4 93 86 .4 93 1. 1 8 61 4 98 .9 10 2 89 4 63 .6 58 8 25 36 .4 89 0 U ts jo ki 2 67 9 94 .3 16 1 5. 7 38 0 91 98 .7 51 7 1. 3 45 2 01 76 .2 14 0 97 23 .8 85 9 71 85 .3 14 7 75 14 .7 97 6 Y lit or ni o 81 6 78 59 .6 55 2 90 40 .4 3 28 3 10 .8 27 0 50 89 .2 37 7 2. 5 14 4 31 97 .5 85 3 38 46 .9 96 7 70 53 .1 To ta l 3 27 7 15 6 80 .4 79 8 59 7 19 .6 29 5 81 5 25 .5 86 4 53 3 74 .5 16 3 14 3 16 .1 85 0 33 9 83 .9 3 73 6 11 4 59 .8 2 51 3 46 9 40 .2 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 83 Table 2d. Area and mean volume of forest available for wood supply on mineral soil and peatland on forest land and forest and poorly productive forest land by forestry centres. Forestry centre Forest land Forest and poorly productive forest land Mineral soil Peatland Total Mineral soil Peatland Total Municipality ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha Åland 035 Brändö 2 440 127.5 310 135.0 2 750 128.4 4 417 97.8 417 122.6 4 834 99.9 043 Eckerö 5 181 153.8 563 149.5 5 744 153.3 6 962 126.3 653 136.9 7 615 127.2 060 Finström 5 940 155.4 607 150.7 6 547 155.0 7 502 132.9 677 141.0 8 180 133.6 062 Föglö 5 578 151.1 454 154.7 6 032 151.4 8 065 121.5 547 136.4 8 612 122.4 065 Geta 2 689 149.0 261 153.9 2 951 149.4 4 857 103.0 340 133.0 5 197 104.9 076 Hammarland 6 470 154.3 713 147.7 7 183 153.6 8 445 129.3 808 137.4 9 252 130.0 170 Jomala 6 756 150.1 738 143.1 7 495 149.4 8 106 133.2 811 135.2 8 918 133.4 295 Kumlinge 1 984 133.1 240 118.9 2 224 131.5 4 324 94.8 408 113.3 4 731 96.4 318 Kökar 259 126.4 37 172.2 296 132.1 721 82.1 336 83.5 1 057 82.6 417 Lemland 5 863 153.7 616 152.2 6 479 153.6 7 245 133.6 682 142.7 7 927 134.4 438 Lumparland 1 611 157.2 162 157.5 1 773 157.2 2 319 125.5 190 142.6 2 508 126.8 478 Mariehamn-Maarianhamina 363 124.5 30 114.4 393 123.8 487 104.2 35 105.5 523 104.3 736 Saltvik 5 344 159.0 547 151.8 5 891 158.4 8 597 118.5 667 134.5 9 264 119.6 766 Sottunga 548 135.4 55 146.4 603 136.4 1 068 97.3 70 131.2 1 138 99.3 771 Sund 4 545 156.4 471 155.3 5 016 156.3 6 734 121.8 553 141.3 7 287 123.3 941 Vårdö 3 192 156.9 270 158.0 3 462 157.0 5 740 109.5 343 137.3 6 083 111.0 Total 58 765 151.8 6 073 148.7 64 838 151.5 85 588 120.4 7 537 133.1 93 125 121.5 Rannikko/Etelärannikko 049 Espoo-Esbo 12 817 155.6 1 559 161.2 14 376 156.2 13 987 147.4 1 619 156.2 15 606 148.3 078 Hanko-Hangö 5 183 165.1 678 163.9 5 860 165.0 6 664 140.2 723 155.6 7 386 141.7 091 Helsinki-Helsingfors 6 269 146.0 741 164.9 7 010 148.0 7 284 131.7 769 159.4 8 053 134.4 092 Vantaa-Vanda 8 484 145.9 1 054 164.9 9 538 148.0 8 959 140.6 1 094 159.4 10 053 142.6 149 Ingå-Inkoo 16 341 145.4 1 884 145.9 18 225 145.4 18 901 133.1 2 006 138.0 20 907 133.6 235 Kauniainen-Grankulla 159 153.5 25 157.4 184 154.0 184 139.6 26 154.7 210 141.5 257 Kirkkonummi-Kyrkslätt 16 033 136.0 2 056 133.2 18 089 135.7 18 193 126.6 2 226 124.3 20 419 126.3 322 Kemiönsaari 29 928 145.9 3 263 143.4 33 191 145.6 40 163 120.4 3 539 135.0 43 701 121.6 407 Lapinjärvi-Lappträsk 15 440 168.9 2 786 163.4 18 226 168.0 15 781 166.4 2 878 158.8 18 660 165.3 424 Liljendal 5 180 163.0 798 161.3 5 978 162.8 5 321 160.2 822 157.5 6 143 159.8 434 Loviisa-Lovisa 2 403 173.1 381 167.0 2 785 172.2 2 532 167.2 394 162.2 2 926 166.6 444 Länsi-Turunmaa 38 816 138.2 2 752 135.7 41 568 138.0 52 147 115.1 3 027 127.4 55 174 115.8 585 Pernå-Pernaja 22 423 165.3 3 843 156.7 26 266 164.0 23 393 160.8 4 015 150.9 27 408 159.4 638 Porvoo-Borgå 32 355 166.9 4 250 157.2 36 605 165.8 34 178 161.2 4 434 151.5 38 612 160.1 701 Ruotsinpyhtää-Strömfors 14 713 162.1 3 364 152.2 18 077 160.2 15 171 158.9 3 502 147.1 18 673 156.7 710 Raasepori 55 257 161.5 7 685 161.1 62 942 161.5 64 415 145.5 8 125 153.9 72 540 146.5 753 Sipoo-Sibbo 16 343 174.9 1 918 172.3 18 261 174.7 17 323 168.3 1 987 167.1 19 309 168.2 755 Siuntio-Sjundeå 10 788 130.6 1 319 145.1 12 107 132.2 11 684 124.8 1 406 137.3 13 090 126.1 Total 308 931 154.9 40 356 154.7 349 287 154.9 356 280 141.0 42 592 148.0 398 872 141.7 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 551 88.9 137 82.1 687 87.6 564 87.1 138 81.5 702 86.0 280 Korsnäs 12 430 109.5 4 166 126.4 16 596 113.7 12 487 109.1 4 425 120.8 16 911 112.2 287 Kristinestad-Kristiinankaupunki 36 941 106.8 12 720 118.7 49 660 109.8 37 757 105.2 13 656 112.3 51 412 107.1 288 Kronoby-Kruunupyy 31 125 101.9 18 666 111.4 49 790 105.5 31 627 100.8 20 957 101.6 52 583 101.1 440 Larsmo-Luoto 7 638 98.5 2 032 117.8 9 670 102.6 7 905 96.6 2 225 109.0 10 130 99.4 475 Malax-Maalahti 24 717 112.4 9 248 120.5 33 965 114.6 24 914 111.7 10 411 109.8 35 326 111.2 499 Korsholm-Mustasaari 43 789 125.0 9 504 134.4 53 294 126.7 44 362 124.2 10 270 126.8 54 631 124.7 545 Närpes-Närpiö 44 007 102.5 20 327 121.4 64 334 108.5 44 491 101.6 22 292 112.9 66 783 105.4 559 Oravais-Oravainen 9 367 97.5 3 655 124.6 13 021 105.1 9 766 94.5 3 930 117.5 13 696 101.1 598 Jakobstad-Pietarsaari 4 022 92.7 1 567 111.9 5 590 98.1 4 173 91.0 1 713 103.8 5 886 94.7 599 Pedersöre-Pedersören kunta 33 791 99.7 21 193 114.3 54 984 105.3 34 404 98.6 23 535 105.1 57 939 101.2 893 Nykarleby-Uusikaarlepyy 29 470 103.7 18 462 121.9 47 933 110.7 30 838 100.3 19 841 115.3 50 679 106.2 905 Vaasa-Vasa 9 167 133.6 1 841 129.9 11 008 133.0 9 285 132.3 1 940 125.0 11 225 131.0 945 Vörå-Maxmo Vöyri-Maksamaa 28 232 104.4 8 890 126.5 37 121 109.7 29 052 102.1 9 584 119.1 38 636 106.3 Total 315 247 107.6 132 407 120.0 447 654 111.3 321 625 106.1 144 915 111.8 466 540 107.9 Lounais-Suomi 019 Aura 3 332 143.7 473 148.0 3 805 144.2 3 530 138.3 521 137.3 4 051 138.2 050 Eura 28 390 140.0 6 125 137.8 34 515 139.6 29 148 137.7 6 888 126.1 36 036 135.5 051 Eurajoki 18 829 136.0 2 990 131.1 21 819 135.3 19 448 133.2 3 215 123.4 22 662 131.8 079 Harjavalta 5 609 137.4 1 659 127.2 7 268 135.1 5 651 136.7 1 798 119.1 7 450 132.5 099 Honkajoki 13 060 89.6 7 401 93.8 20 460 91.1 13 212 89.2 8 350 86.4 21 561 88.1 102 Huittinen 21 412 140.4 4 435 145.8 25 847 141.3 21 582 139.7 5 039 130.9 26 621 138.1 181 Jämijärvi 7 892 115.2 3 700 110.5 11 592 113.7 7 955 114.6 3 985 104.2 11 940 111.1 202 Kaarina 5 970 138.9 501 139.1 6 471 138.9 6 579 130.5 538 133.2 7 118 130.7 214 Kankaanpää 29 703 104.7 14 736 106.8 44 440 105.4 30 097 104.0 16 379 98.5 46 477 102.1 230 Karvia 18 395 94.3 11 625 96.0 30 020 94.9 18 585 93.9 13 307 87.4 31 891 91.2 254 Kiikoinen 7 491 132.6 1 672 120.2 9 163 130.3 7 607 131.1 1 883 109.8 9 490 126.9 271 Kokemäki 23 469 130.3 5 477 134.7 28 945 131.1 23 679 129.5 5 935 126.0 29 614 128.8 284 Koski T.l. 5 920 149.3 1 783 188.0 7 704 158.2 6 183 144.7 1 894 178.7 8 077 152.6 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 84 Table 2d. Continued Forestry centre Forest land Forest and poorly productive forest land Mineral soil Peatland Total Mineral soil Peatland Total Municipality ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha 304 Kustavi 7 444 116.9 593 118.1 8 037 117.0 10 469 97.0 721 103.4 11 190 97.4 319 Köyliö 9 628 145.1 3 099 133.4 12 727 142.2 9 782 143.4 3 844 111.5 13 626 134.4 400 Laitila 24 561 129.7 4 622 132.3 29 183 130.1 26 256 124.8 5 403 117.8 31 659 123.6 413 Lavia 18 283 136.3 4 329 118.8 22 612 132.9 18 865 133.4 4 821 109.7 23 685 128.6 423 Lieto 6 719 150.3 924 151.5 7 643 150.5 7 310 142.1 1 014 140.9 8 324 142.0 430 Loimaa 25 687 155.4 6 238 143.1 31 925 153.0 26 426 152.3 6 844 133.2 33 271 148.4 442 Luvia 10 432 167.4 1 354 118.4 11 786 161.8 10 455 167.1 1 453 111.4 11 908 160.3 480 Marttila 7 057 147.2 1 442 138.2 8 498 145.6 7 549 140.6 1 636 124.8 9 185 137.8 481 Masku 7 719 134.0 750 126.3 8 469 133.4 8 690 124.6 820 119.2 9 511 124.1 484 Merikarvia 25 854 126.2 7 483 117.6 33 337 124.3 25 999 125.7 8 020 111.3 34 019 122.3 503 Mynämäki 22 245 141.1 5 291 131.2 27 537 139.2 23 928 134.6 6 092 117.7 30 020 131.2 529 Naantali 12 624 130.8 787 126.3 13 411 130.6 16 752 110.7 871 118.8 17 623 111.1 531 Nakkila 7 723 147.1 1 584 126.7 9 308 143.6 7 755 146.6 1 772 115.0 9 527 140.7 537 Noormarkku 18 876 144.4 4 953 131.4 23 830 141.7 18 990 143.8 5 363 123.0 24 353 139.2 538 Nousiainen 8 297 146.1 1 234 140.6 9 531 145.4 9 193 136.6 1 355 131.1 10 548 135.9 561 Oripää 3 834 142.9 1 144 134.6 4 979 141.0 4 178 135.1 1 270 124.3 5 448 132.6 577 Paimio 9 055 151.2 1 247 153.2 10 302 151.4 10 042 141.2 1 350 143.9 11 392 141.5 608 Pomarkku 17 492 152.0 4 653 138.7 22 146 149.2 17 645 151.1 5 008 130.7 22 654 146.6 609 Pori 21 790 153.7 3 330 129.4 25 120 150.5 21 862 153.3 3 523 123.1 25 384 149.1 631 Pyhäranta 8 453 143.9 1 076 131.9 9 529 142.6 9 168 136.5 1 175 124.0 10 344 135.1 636 Pöytyä 30 715 151.0 7 644 133.8 38 358 147.6 33 010 143.9 8 683 121.2 41 693 139.1 680 Raisio 1 764 131.5 133 145.2 1 897 132.5 1 985 122.1 145 137.7 2 130 123.2 684 Rauma 26 441 134.8 3 669 143.3 30 110 135.8 29 301 126.7 4 038 133.4 33 338 127.6 704 Rusko 5 015 148.1 840 148.3 5 855 148.1 5 378 141.5 910 139.6 6 288 141.2 734 Salo 84 932 156.8 13 800 152.0 98 732 156.1 93 620 146.7 14 775 144.3 108 394 146.3 738 Sauvo 10 994 142.5 1 016 138.5 12 009 142.1 12 636 130.2 1 086 132.3 13 722 130.4 747 Siikainen 24 910 123.1 9 648 120.3 34 558 122.3 25 055 122.6 10 550 112.1 35 605 119.5 761 Somero 27 017 147.6 5 199 147.6 32 215 147.6 27 362 146.2 5 468 141.7 32 831 145.5 783 Säkylä 6 684 133.1 1 576 128.8 8 260 132.3 6 927 130.1 1 841 114.4 8 767 126.8 833 Taivassalo 6 073 119.7 398 127.5 6 471 120.1 7 614 105.3 453 117.8 8 067 106.0 838 Tarvasjoki 3 437 153.0 417 147.6 3 854 152.4 3 654 146.7 452 138.7 4 107 145.8 853 Turku-Åbo 8 246 135.1 840 146.5 9 086 136.1 9 102 126.7 914 138.1 10 017 127.7 886 Ulvila 21 220 140.1 6 190 135.1 27 409 139.0 21 383 139.3 6 793 125.1 28 177 135.9 895 Uusikaupunki 25 492 124.3 2 628 135.1 28 120 125.3 29 428 114.2 2 934 125.3 32 361 115.3 918 Vehmaa 8 751 116.6 880 130.1 9 632 117.8 9 799 109.4 997 120.3 10 796 110.4 Total 754 938 137.8 173 587 128.2 928 525 136.0 800 826 132.7 192 126 118.6 992 952 130.0 Häme-Uusimaa 015 Artjärvi 8 023 156.7 859 154.8 8 882 156.5 8 159 155.1 896 149.0 9 054 154.5 016 Asikkala 34 494 155.0 5 458 160.1 39 952 155.7 34 879 154.0 5 627 156.2 40 506 154.3 018 Askola 9 755 161.7 1 306 158.0 11 061 161.3 9 938 159.9 1 346 154.0 11 284 159.2 061 Forssa 11 270 159.7 2 011 154.4 13 281 158.9 11 294 159.4 2 264 140.4 13 558 156.2 081 Hartola 37 064 157.1 6 472 146.0 43 536 155.5 37 194 157.1 6 765 141.1 43 958 154.6 082 Hattula 18 421 140.5 4 714 136.9 23 136 139.8 18 553 139.9 5 085 128.6 23 639 137.5 086 Hausjärvi 15 923 143.4 2 831 137.6 18 754 142.5 16 033 143.0 2 983 131.6 19 016 141.2 098 Hollola 25 282 148.5 3 189 153.0 28 472 149.0 25 364 148.3 3 351 146.6 28 715 148.1 103 Humppila 5 889 171.2 1 215 158.8 7 105 169.0 5 920 170.5 1 310 149.8 7 230 166.7 106 Hyvinkää 15 677 147.6 3 651 131.9 19 328 144.7 15 777 147.2 3 889 124.9 19 666 142.8 109 Hämeenlinna 100 517 153.3 22 434 151.1 122 951 152.9 100 904 153.0 23 343 146.2 124 247 151.7 111 Heinola 46 887 153.3 8 000 134.8 54 887 150.6 47 284 152.4 8 196 132.1 55 480 149.4 165 Janakkala 27 182 150.0 5 990 149.4 33 172 149.9 27 335 149.6 6 350 142.0 33 685 148.1 169 Jokioinen 7 081 144.3 717 148.0 7 798 144.6 7 085 144.2 758 141.8 7 844 144.0 186 Järvenpää 1 228 132.1 111 127.8 1 339 131.8 1 263 129.9 115 123.7 1 378 129.4 223 Karjalohja 6 070 127.4 899 148.8 6 968 130.1 6 392 123.7 970 139.6 7 362 125.8 224 Karkkila 13 424 157.9 2 311 153.7 15 736 157.2 13 630 156.5 2 457 145.6 16 087 154.8 245 Kerava 1 098 141.5 122 148.8 1 220 142.2 1 151 137.2 127 144.1 1 277 137.9 283 Hämeenkoski 10 193 145.8 1 367 156.4 11 561 147.1 10 204 145.8 1 426 150.8 11 630 146.4 316 Kärkölä 11 517 139.0 2 159 139.1 13 676 139.0 11 534 138.9 2 348 129.1 13 882 137.3 398 Lahti 6 095 136.3 586 128.7 6 681 135.7 6 147 135.6 613 124.7 6 759 134.6 433 Loppi 33 384 145.7 8 123 135.4 41 506 143.6 33 764 144.7 8 611 128.7 42 375 141.5 444 Lohja 16 993 126.4 1 880 140.5 18 873 127.8 17 738 123.5 1 995 134.0 19 732 124.6 504 Myrskylä-Mörskom 10 037 162.4 1 541 155.9 11 579 161.6 10 232 160.4 1 601 150.7 11 833 159.1 505 Mäntsälä 28 667 156.0 5 382 140.6 34 049 153.6 28 739 155.8 5 687 134.1 34 426 152.3 532 Nastola 18 505 149.5 2 670 132.9 21 175 147.4 18 826 147.8 2 831 127.2 21 657 145.1 540 Nummi-Pusula 24 374 138.9 3 834 146.6 28 208 139.9 25 274 136.0 4 045 140.1 29 319 136.5 543 Nurmijärvi 14 955 131.3 1 770 126.0 16 725 130.7 15 404 129.1 1 867 120.3 17 271 128.2 560 Orimattila 30 592 135.9 3 383 139.7 33 975 136.3 30 846 135.4 3 505 135.6 34 351 135.4 576 Padasjoki 32 943 158.7 6 661 154.6 39 604 158.0 33 197 157.9 6 861 150.8 40 058 156.7 611 Pornainen 6 738 161.3 1 025 143.8 7 763 159.0 6 908 158.9 1 064 139.5 7 972 156.3 616 Pukkila 5 921 153.6 863 147.9 6 783 152.9 5 983 152.7 890 144.0 6 873 151.6 694 Riihimäki 5 774 137.2 1 023 131.0 6 797 136.3 5 801 137.0 1 079 125.6 6 880 135.2 781 Sysmä 46 806 163.1 5 190 147.9 51 996 161.5 46 958 162.9 5 374 144.5 52 331 161.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 85 Table 2d. Continued Forestry centre Forest land Forest and poorly productive forest land Mineral soil Peatland Total Mineral soil Peatland Total Municipality ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha 834 Tammela 29 032 160.5 10 424 153.5 39 456 158.7 29 143 160.0 10 960 147.6 40 103 156.6 858 Tuusula 8 831 147.2 1 241 147.5 10 072 147.2 9 051 144.8 1 300 141.7 10 351 144.4 927 Vihti 24 536 147.5 3 363 151.0 27 899 148.0 25 363 144.7 3 517 145.5 28 880 144.8 981 Ypäjä 6 613 161.9 1 120 164.0 7 733 162.2 6 628 161.6 1 184 157.2 7 813 160.9 Total 757 790 150.8 135 898 146.4 893 688 150.1 765 894 149.8 142 589 140.7 908 484 148.4 Kaakkois-Suomi 075 Hamina 35 906 130.7 7 579 136.2 43 485 131.7 36 554 129.0 7 924 131.0 44 478 129.4 142 Iitti 34 247 159.2 5 233 144.5 39 480 157.3 34 576 158.2 5 394 140.8 39 970 155.8 153 Imatra 8 737 150.3 1 094 144.1 9 831 149.6 8 795 149.7 1 106 142.8 9 901 148.9 285 Kotka 14 802 119.0 2 900 118.1 17 702 118.8 15 042 117.7 3 033 113.8 18 075 117.1 286 Kouvola 138 595 151.7 33 564 138.9 172 158 149.2 139 705 150.9 34 706 134.9 174 411 147.7 405 Lappeenranta 60 097 135.6 12 255 131.8 72 352 135.0 60 693 134.7 12 807 126.9 73 500 133.4 416 Lemi 13 837 132.5 2 397 129.5 16 235 132.1 13 911 132.0 2 525 123.7 16 436 130.7 441 Luumäki 44 258 137.0 14 651 134.5 58 910 136.4 44 624 136.1 15 468 128.4 60 092 134.1 489 Miehikkälä 25 268 136.5 6 198 142.4 31 467 137.7 25 803 134.7 6 458 137.3 32 262 135.2 580 Parikkala 35 431 140.4 7 400 130.6 42 831 138.7 35 514 140.2 7 618 127.4 43 133 137.9 624 Pyhtää-Pyttis 14 981 164.9 2 790 150.5 17 771 162.6 15 599 160.5 2 888 146.0 18 487 158.2 689 Rautjärvi 23 732 148.5 4 636 140.7 28 368 147.3 23 798 148.2 4 705 138.9 28 504 146.7 700 Ruokolahti 64 892 143.4 14 889 137.0 79 780 142.2 65 275 142.8 15 503 132.3 80 778 140.8 739 Savitaipale 35 804 128.5 7 043 130.5 42 847 128.9 36 055 127.9 7 378 125.5 43 432 127.5 775 Suomenniemi 20 461 141.1 3 623 130.1 24 084 139.4 20 593 140.5 3 807 125.1 24 400 138.1 831 Taipalsaari 22 858 132.3 3 138 131.1 25 996 132.2 23 061 131.4 3 317 125.2 26 377 130.6 935 Virolahti 21 528 132.6 4 172 133.4 25 700 132.7 22 372 129.8 4 364 128.3 26 736 129.6 978 Ylämaa 23 831 141.1 6 360 147.4 30 192 142.4 24 067 140.1 6 635 142.0 30 702 140.5 Total 639 266 142.0 139 923 136.5 779 189 141.0 646 038 141.0 145 636 131.9 791 674 139.3 Pirkanmaa 020 Akaa 4 462 135.6 655 138.4 5 117 135.9 4 475 135.2 682 134.4 5 157 135.1 108 Hämeenkyrö 22 688 142.8 5 420 131.3 28 108 140.6 22 891 142.0 5 758 125.3 28 648 138.6 143 Ikaalinen 42 769 128.6 12 208 119.3 54 978 126.5 43 259 127.6 13 268 111.9 56 528 124.0 177 Juupajoki 16 214 144.6 3 241 137.0 19 456 143.3 16 377 143.6 3 446 130.6 19 824 141.3 211 Kangasala 27 482 141.5 3 804 143.9 31 286 141.8 27 587 141.1 4 025 137.2 31 611 140.6 250 Kihniö 16 737 117.4 10 616 115.8 27 353 116.8 16 773 117.3 11 456 109.6 28 229 114.2 289 Kuhmalahti 10 108 138.2 2 220 133.7 12 328 137.4 10 188 137.7 2 325 128.5 12 514 136.0 310 Kylmäkoski 9 164 146.4 1 573 159.1 10 737 148.3 9 190 146.0 1 706 149.6 10 896 146.6 418 Lempäälä 15 569 146.4 1 563 156.8 17 132 147.3 15 636 145.9 1 649 150.0 17 285 146.3 508 Mänttä-Vilppula 36 093 154.5 6 940 146.2 43 033 153.1 36 395 153.6 7 290 140.4 43 686 151.4 536 Nokia 16 791 143.2 1 627 128.4 18 418 141.9 16 891 142.6 1 728 122.6 18 619 140.7 562 Orivesi 53 908 149.8 8 349 141.8 62 256 148.8 54 320 149.1 8 783 136.3 63 102 147.3 581 Parkano 40 727 111.7 24 034 110.1 64 762 111.1 40 931 111.4 26 741 101.4 67 673 107.4 604 Pirkkala 4 615 141.8 362 148.3 4 977 142.3 4 632 141.4 384 141.1 5 016 141.4 619 Punkalaidun 14 608 160.7 3 515 158.2 18 123 160.2 14 789 159.2 3 732 150.7 18 521 157.5 635 Pälkäne 35 662 162.9 4 874 148.0 40 535 161.1 35 843 162.5 5 039 143.9 40 882 160.2 702 Ruovesi 50 285 152.6 8 083 137.3 58 369 150.4 50 822 151.5 8 564 131.1 59 385 148.5 790 Sastamala 70 869 140.7 11 133 129.6 82 002 139.2 72 006 139.2 11 997 121.8 84 003 136.7 837 Tampere 33 164 155.0 4 598 145.1 37 762 153.8 33 423 154.1 4 851 138.7 38 274 152.2 887 Urjala 23 375 157.3 4 996 160.9 28 370 158.0 23 494 156.7 5 444 150.2 28 938 155.5 908 Valkeakoski 12 258 151.1 1 620 156.1 13 877 151.7 12 286 150.8 1 692 150.9 13 978 150.8 922 Vesilahti 14 135 149.6 1 978 155.0 16 113 150.3 14 205 148.9 2 063 150.0 16 268 149.1 936 Virrat 67 452 125.3 24 235 122.2 91 688 124.5 67 715 125.1 26 059 115.5 93 774 122.4 980 Ylöjärvi 68 213 144.2 18 502 130.9 86 715 141.3 68 797 143.3 19 859 123.9 88 655 139.0 Total 707 348 142.4 166 146 130.1 873 494 140.0 712 925 141.6 178 540 123.0 891 465 137.9 Etelä-Savo 046 Enonkoski 19 494 139.8 2 770 131.0 22 265 138.7 19 594 139.3 2 837 128.4 22 431 137.9 090 Heinävesi 72 407 137.7 14 759 126.3 87 166 135.8 72 609 137.5 15 053 124.3 87 663 135.2 097 Hirvensalmi 29 879 156.3 5 157 130.7 35 036 152.6 30 070 155.6 5 410 125.6 35 480 151.0 171 Joroinen 33 174 135.8 12 116 131.7 45 291 134.7 33 188 135.8 12 531 127.8 45 720 133.6 178 Juva 69 181 145.1 23 071 131.0 92 252 141.6 69 635 144.5 24 041 126.4 93 676 139.8 213 Kangasniemi 68 433 131.7 20 724 125.4 89 157 130.2 68 529 131.5 21 404 122.0 89 933 129.3 246 Kerimäki 35 305 143.8 9 810 129.3 45 115 140.6 35 459 143.3 10 316 124.1 45 775 139.0 491 Mikkeli 102 754 143.2 29 272 125.8 132 026 139.3 103 352 142.6 31 007 119.7 134 359 137.3 507 Mäntyharju 67 097 147.4 13 995 132.9 81 091 144.9 67 508 146.8 14 668 127.9 82 176 143.4 588 Pertunmaa 25 335 149.9 5 078 136.6 30 414 147.7 25 439 149.5 5 214 133.6 30 652 146.8 593 Pieksämäki 92 708 128.3 40 533 128.4 133 241 128.3 92 740 128.2 41 879 124.8 134 619 127.2 618 Punkaharju 31 764 151.3 6 470 137.1 38 235 148.9 31 899 150.8 6 657 133.7 38 556 147.9 623 Puumala 59 796 135.5 7 062 137.3 66 858 135.7 60 309 134.8 7 416 131.7 67 725 134.4 681 Rantasalmi 33 066 130.5 8 106 127.3 41 172 129.8 33 173 130.2 8 350 124.1 41 522 128.9 696 Ristiina 38 938 150.5 6 965 140.0 45 903 148.9 39 163 150.0 7 185 136.5 46 348 147.9 740 Savonlinna 83 419 143.3 13 787 135.0 97 206 142.1 83 879 142.8 14 201 131.7 98 080 141.2 768 Sulkava 42 377 133.4 6 962 136.1 49 338 133.8 42 676 132.8 7 208 132.1 49 884 132.7 Total 905 130 140.3 226 637 130.2 1 131 767 138.3 909 223 139.9 235 376 126.0 1 144 599 137.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 86 Table 2d. Continued Forestry centre Forest land Forest and poorly productive forest land Mineral soil Peatland Total Mineral soil Peatland Total Municipality ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha Etelä-Pohjanmaa 005 Alajärvi 46 529 105.2 28 282 99.8 74 811 103.1 46 933 104.6 32 020 90.9 78 953 99.0 010 Alavus 35 943 99.5 18 202 106.7 54 144 101.9 36 124 99.3 20 877 96.5 57 001 98.3 052 Evijärvi 12 838 93.2 10 609 96.5 23 447 94.7 13 033 92.3 12 701 83.8 25 734 88.1 074 Halsua 14 765 96.1 11 824 84.2 26 589 90.8 15 047 94.8 15 281 70.1 30 328 82.4 095 Himanka 10 984 98.2 7 000 100.1 17 984 99.0 11 199 97.0 8 002 91.2 19 201 94.6 145 Ilmajoki 23 339 96.5 10 283 111.5 33 622 101.1 23 663 95.9 11 036 105.1 34 699 98.9 151 Isojoki 26 595 105.6 16 747 100.9 43 342 103.8 26 920 105.0 18 751 92.8 45 672 100.0 152 Isokyrö 12 443 91.9 6 562 106.7 19 006 97.1 12 704 90.5 7 533 96.1 20 237 92.6 164 Jalasjärvi 32 293 96.4 17 509 98.5 49 802 97.1 32 465 96.2 19 858 90.0 52 324 93.9 217 Kannus 16 180 84.8 15 926 98.4 32 106 91.6 16 345 84.2 18 484 88.4 34 829 86.4 218 Karijoki 7 699 101.3 4 545 113.2 12 245 105.7 7 785 100.5 5 081 104.2 12 866 102.0 232 Kauhajoki 46 603 84.3 31 391 97.0 77 994 89.4 47 128 84.0 36 134 87.5 83 262 85.5 233 Kauhava 48 914 97.2 26 030 95.7 74 944 96.7 50 619 95.2 30 698 84.7 81 316 91.3 236 Kaustinen 12 842 94.7 10 059 95.9 22 901 95.2 13 037 93.8 11 986 84.3 25 023 89.2 272 Kokkola-Karleby 57 579 96.8 35 421 98.3 93 000 97.4 58 686 95.7 41 626 87.3 100 313 92.2 300 Kuortane 21 702 106.3 11 479 106.8 33 180 106.5 21 915 105.7 12 686 99.8 34 601 103.5 301 Kurikka 39 392 93.0 19 486 107.8 58 878 97.9 39 819 92.4 21 643 99.3 61 462 94.8 399 Laihia 20 232 102.5 11 832 122.0 32 065 109.7 20 412 101.9 12 973 113.6 33 386 106.4 403 Lappajärvi 16 316 107.7 11 920 97.1 28 235 103.2 16 700 106.0 14 058 85.7 30 758 96.7 408 Lapua 25 347 108.5 16 160 100.1 41 507 105.2 25 906 106.9 18 985 88.3 44 891 99.0 421 Lestijärvi 18 422 90.0 14 091 89.5 32 513 89.8 18 692 89.2 17 072 77.8 35 764 83.8 584 Perho 27 519 101.7 19 400 85.1 46 919 94.8 27 823 100.9 24 893 71.2 52 715 86.9 743 Seinäjoki 55 908 90.8 30 935 100.3 86 843 94.2 56 439 90.4 35 275 91.0 91 714 90.6 759 Soini 26 609 113.6 15 701 93.7 42 311 106.2 26 713 113.4 18 024 84.1 44 737 101.6 846 Teuva 23 366 94.3 12 267 108.7 35 633 99.3 23 695 93.4 13 906 98.8 37 601 95.4 849 Toholampi 20 631 89.8 16 320 93.7 36 951 91.5 20 708 89.4 19 872 81.3 40 580 85.4 863 Töysä 16 130 114.0 6 230 103.8 22 360 111.1 16 346 113.0 6 874 97.7 23 220 108.5 924 Veteli 16 461 101.4 14 232 94.3 30 692 98.1 16 667 100.5 17 112 82.0 33 779 91.1 934 Vimpeli 10 486 106.1 7 479 93.9 17 966 101.0 10 664 104.8 8 959 82.0 19 623 94.4 942 Vähäkyrö 7 139 96.5 1 807 112.7 8 946 99.7 7 195 95.9 1 888 109.1 9 083 98.6 989 Ähtäri 42 419 119.8 23 381 104.4 65 800 114.3 42 544 119.6 25 608 97.4 68 152 111.3 Total 793 623 99.1 483 112 99.4 1 276 735 99.2 803 928 98.3 559 895 89.1 1 363 823 94.5 Keski-Suomi 077 Hankasalmi 34 470 126.3 9 885 121.3 44 354 125.2 34 495 126.2 10 106 119.0 44 600 124.6 172 Joutsa 55 880 147.8 12 510 141.7 68 390 146.7 56 046 147.6 12 823 138.6 68 869 145.9 179 Jyväskylä 81 495 132.1 11 402 124.9 92 897 131.2 81 747 131.9 11 642 122.7 93 389 130.7 182 Jämsä 106 094 123.7 22 380 121.0 128 474 123.2 106 282 123.6 22 906 118.6 129 188 122.7 216 Kannonkoski 28 655 121.4 9 860 121.6 38 515 121.5 28 853 120.9 10 298 117.4 39 152 120.0 226 Karstula 43 679 116.9 26 638 109.4 70 317 114.0 43 907 116.5 29 276 101.4 73 183 110.5 249 Keuruu 78 088 133.4 27 624 123.4 105 712 130.8 78 705 132.7 29 668 116.8 108 373 128.4 256 Kinnula 23 527 104.3 13 040 101.9 36 567 103.5 23 768 103.7 14 894 92.7 38 662 99.4 265 Kivijärvi 28 108 112.4 11 094 114.0 39 203 112.9 28 313 111.9 12 018 107.0 40 331 110.4 275 Konnevesi 35 354 130.3 7 668 131.9 43 022 130.5 35 359 130.2 7 873 128.8 43 232 130.0 291 Kuhmoinen 46 492 135.7 7 147 125.4 53 639 134.3 46 653 135.4 7 319 122.8 53 972 133.7 312 Kyyjärvi 18 914 109.2 14 591 99.0 33 505 104.8 19 027 108.8 16 566 89.5 35 593 99.8 410 Laukaa 42 118 120.4 6 403 113.5 48 520 119.5 42 219 120.3 6 540 111.6 48 759 119.1 435 Luhanka 16 038 150.8 1 416 139.3 17 454 149.9 16 118 150.7 1 441 137.2 17 559 149.6 495 Multia 41 045 124.1 22 361 107.7 63 406 118.3 41 240 123.7 24 155 101.4 65 395 115.5 500 Muurame 10 099 136.6 1 021 138.6 11 120 136.8 10 118 136.5 1 043 136.1 11 161 136.4 592 Petäjävesi 30 106 118.5 7 654 111.5 37 761 117.1 30 126 118.5 7 947 108.2 38 073 116.3 601 Pihtipudas 54 732 101.6 32 620 108.6 87 352 104.2 55 105 101.2 34 476 104.0 89 582 102.3 729 Saarijärvi 72 350 123.2 29 201 115.4 101 550 120.9 72 648 122.8 30 912 110.3 103 560 119.1 850 Toivakka 25 286 126.9 4 456 113.8 29 742 125.0 25 442 126.4 4 560 111.6 30 002 124.2 892 Uurainen 21 719 117.4 6 680 109.2 28 399 115.4 21 744 117.3 7 048 104.7 28 792 114.2 931 Viitasaari 86 908 114.0 20 186 113.3 107 094 113.9 87 172 114.0 21 186 108.9 108 358 113.0 992 Äänekoski 61 306 129.2 13 225 126.0 74 530 128.6 61 343 129.1 13 689 122.3 75 031 127.9 Total 1 042 462 124.4 319 061 116.0 1 361 523 122.4 1 046 430 124.1 338 386 110.6 1 384 816 120.8 Pohjois-Savo 140 Iisalmi 43 474 104.9 11 932 117.9 55 406 107.7 43 570 104.8 12 259 115.2 55 828 107.1 174 Juankoski 28 629 120.2 6 961 110.7 35 590 118.3 28 658 120.1 7 241 107.2 35 899 117.5 204 Kaavi 43 617 124.0 14 351 106.4 57 968 119.7 43 634 124.0 15 107 102.3 58 741 118.4 227 Karttula 32 336 129.4 8 889 129.6 41 224 129.5 32 346 129.4 9 251 125.1 41 597 128.4 239 Keitele 28 759 117.1 12 115 119.9 40 875 117.9 28 802 117.0 12 797 114.5 41 599 116.2 263 Kiuruvesi 59 845 98.3 37 932 103.0 97 777 100.1 59 983 98.2 41 335 95.7 101 318 97.2 297 Kuopio 77 379 139.5 9 705 131.9 87 084 138.7 77 412 139.5 9 900 129.6 87 313 138.4 402 Lapinlahti 34 062 113.6 11 605 120.0 45 667 115.2 34 126 113.4 12 001 116.6 46 127 114.3 420 Leppävirta 77 741 144.2 14 607 143.9 92 348 144.1 77 794 144.1 14 927 141.2 92 721 143.6 476 Maaninka 27 319 119.3 6 602 133.3 33 921 122.0 27 360 119.2 6 819 129.5 34 179 121.3 534 Nilsiä 43 472 121.1 11 774 114.9 55 245 119.8 43 554 121.0 12 232 111.3 55 786 118.8 595 Pielavesi 65 334 118.1 28 134 121.5 93 468 119.2 65 391 118.1 29 681 116.0 95 072 117.4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 87 Table 2d. Continued Forestry centre Forest land Forest and poorly productive forest land Mineral soil Peatland Total Mineral soil Peatland Total Municipality ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha 686 Rautalampi 34 840 127.1 8 729 126.5 43 570 127.0 34 875 127.0 9 019 122.9 43 894 126.2 687 Rautavaara 54 184 113.5 36 802 99.1 90 985 107.7 54 244 113.4 40 881 91.4 95 125 103.9 749 Siilinjärvi 23 111 117.4 3 977 125.7 27 088 118.6 23 156 117.3 4 078 123.0 27 234 118.1 762 Sonkajärvi 71 566 102.8 45 036 96.0 116 602 100.2 71 687 102.7 50 075 88.6 121 762 96.9 778 Suonenjoki 43 716 130.9 16 340 131.0 60 055 130.9 43 729 130.9 16 850 127.6 60 578 129.9 844 Tervo 22 953 120.7 6 066 127.2 29 019 122.1 22 979 120.6 6 263 123.8 29 242 121.3 857 Tuusniemi 37 748 134.0 6 550 132.0 44 297 133.7 37 768 134.0 6 757 128.4 44 525 133.1 915 Varkaus 25 626 148.9 4 660 140.4 30 286 147.6 25 632 148.9 4 757 137.8 30 389 147.2 916 Varpaisjärvi 27 145 107.8 10 348 110.2 37 493 108.4 27 182 107.7 10 869 105.9 38 050 107.2 921 Vesanto 28 070 124.0 7 173 120.2 35 243 123.2 28 101 123.9 7 472 116.0 35 573 122.3 925 Vieremä 45 249 98.8 25 250 101.9 70 499 99.9 45 328 98.7 27 285 95.7 72 614 97.5 Total 976 175 120.7 345 535 113.5 1 321 710 118.8 977 310 120.6 367 857 107.8 1 345 167 117.1 Pohjois-Karjala 146 Ilomantsi 128 779 116.1 80 224 95.3 209 003 108.1 129 044 115.9 92 388 85.1 221 432 103.1 167 Joensuu 144 697 126.3 52 398 108.3 197 095 121.5 144 809 126.2 55 352 103.6 200 161 120.0 176 Juuka 84 800 117.3 40 922 104.5 125 721 113.1 84 889 117.2 43 873 99.1 128 762 111.0 248 Kesälahti 23 460 130.0 8 231 125.6 31 691 128.8 23 472 129.9 8 547 121.7 32 018 127.7 260 Kitee 49 407 127.7 18 332 120.2 67 739 125.6 49 417 127.6 18 946 117.0 68 363 124.7 276 Kontiolahti 48 213 119.8 17 496 112.6 65 709 117.9 48 280 119.7 18 368 108.4 66 648 116.6 309 Outokumpu 26 352 127.9 9 059 109.0 35 412 123.1 26 386 127.8 9 462 105.3 35 848 121.9 422 Lieksa 189 861 106.6 84 638 94.1 274 499 102.7 190 549 106.4 94 402 86.5 284 951 99.8 426 Liperi 44 147 128.3 8 488 113.5 52 635 125.9 44 201 128.1 8 834 110.0 53 035 125.1 541 Nurmes 91 813 105.7 43 141 101.7 134 954 104.4 92 022 105.5 46 507 96.0 138 529 102.3 607 Polvijärvi 41 665 119.3 19 634 108.7 61 300 115.9 41 717 119.1 20 600 104.7 62 317 114.4 707 Rääkkylä 24 733 142.1 7 932 128.5 32 664 138.8 24 764 141.9 8 237 124.6 33 002 137.6 848 Tohmajärvi 43 732 129.5 21 263 108.1 64 995 122.5 43 789 129.4 22 474 103.5 66 263 120.6 911 Valtimo 45 201 100.8 22 528 103.2 67 729 101.6 45 239 100.8 23 990 98.5 69 228 100.0 Total 986 860 117.5 434 286 103.4 1 421 146 113.2 988 578 117.4 471 979 96.8 1 460 557 110.7 Kainuu 105 Hyrynsalmi 70 708 92.8 38 342 75.9 109 050 86.9 71 102 92.4 50 024 63.1 121 126 80.3 205 Kajaani 78 640 94.8 65 307 86.1 143 947 90.8 78 785 94.6 76 787 76.2 155 572 85.5 290 Kuhmo 223 188 91.8 136 043 78.6 359 231 86.8 223 965 91.5 164 976 68.6 388 941 81.8 578 Paltamo 50 280 105.8 27 351 87.5 77 631 99.3 50 535 105.3 31 055 79.8 81 590 95.6 620 Puolanka 120 754 80.3 61 758 76.1 182 512 78.9 121 514 79.9 85 006 60.5 206 520 71.9 697 Ristijärvi 46 985 94.9 22 137 81.4 69 122 90.6 47 346 94.3 27 044 70.8 74 390 85.7 765 Sotkamo 135 403 100.8 85 367 89.5 220 770 96.4 135 656 100.6 95 930 82.0 231 586 92.9 777 Suomussalmi 260 590 78.3 107 223 65.2 367 812 74.5 261 604 78.1 162 468 49.5 424 072 67.1 785 Vaala 39 302 80.4 45 241 76.1 84 543 78.1 39 681 79.9 56 698 64.7 96 378 71.0 Total 1 025 850 88.9 588 769 78.5 1 614 619 85.1 1 030 188 88.6 749 988 65.9 1 780 176 79.0 Pohjois-Pohjanmaa 009 Alavieska 9 287 85.9 6 665 89.3 15 952 87.3 9 547 84.6 7 669 81.0 17 216 83.0 069 Haapajärvi 32 499 103.3 25 827 100.3 58 325 101.9 32 718 102.8 28 003 94.1 60 720 98.8 071 Haapavesi 36 289 90.6 39 138 94.0 75 428 92.4 36 626 90.2 44 487 85.7 81 113 87.7 072 Hailuoto 10 096 69.5 2 751 62.5 12 846 68.0 10 566 68.6 3 245 56.3 13 811 65.7 084 Haukipudas 19 069 91.7 11 193 79.3 30 262 87.1 19 312 91.1 14 148 66.9 33 461 80.9 139 Ii 57 596 85.0 44 323 76.9 101 920 81.5 58 567 84.4 57 808 63.3 116 375 73.9 208 Kalajoki 24 577 80.5 20 478 87.6 45 055 83.7 25 681 78.5 23 818 79.5 49 499 79.0 244 Kempele 3 458 89.1 2 453 84.7 5 910 87.3 3 492 88.6 2 939 73.9 6 431 81.9 255 Kiiminki 12 617 104.9 8 758 81.8 21 375 95.5 12 694 104.6 11 163 68.8 23 857 87.8 305 Kuusamo 255 667 76.7 59 993 57.7 315 660 73.1 259 265 76.2 123 075 39.2 382 340 64.3 317 Kärsämäki 25 125 102.9 27 075 97.8 52 201 100.3 25 296 102.5 30 964 88.5 56 260 94.8 425 Liminka 15 128 79.9 20 139 78.3 35 267 79.0 15 306 79.4 24 672 67.3 39 978 72.0 436 Lumijoki 6 420 79.1 6 114 78.1 12 534 78.6 6 515 78.6 7 047 70.1 13 562 74.2 483 Merijärvi 9 335 78.3 7 772 93.4 17 107 85.1 9 592 77.5 8 696 85.8 18 288 81.5 494 Muhos 24 313 81.3 23 542 70.8 47 856 76.1 24 605 80.7 30 096 59.8 54 701 69.2 535 Nivala 19 890 95.3 10 537 99.8 30 427 96.9 20 102 94.6 11 401 94.1 31 504 94.4 563 Oulainen 24 624 77.8 19 068 90.8 43 692 83.5 25 156 77.3 21 663 82.7 46 819 79.8 564 Oulu 48 223 101.6 41 793 78.5 90 017 90.9 48 451 101.3 53 699 66.0 102 150 82.7 567 Oulunsalo 3 328 83.8 1 512 84.0 4 840 83.9 3 383 83.1 1 717 77.0 5 099 81.0 615 Pudasjärvi 202 846 73.6 137 563 69.6 340 408 72.0 205 175 73.2 195 441 54.7 400 616 64.2 625 Pyhäjoki 22 765 77.7 18 269 89.9 41 034 83.1 23 463 76.9 21 182 81.2 44 645 78.9 626 Pyhäsalmi 56 782 95.0 48 649 103.3 105 431 98.8 57 249 94.8 53 560 95.9 110 809 95.3 630 Pyhäntä 24 587 93.4 32 756 83.6 57 343 87.8 24 794 92.9 38 911 73.4 63 705 81.0 678 Raahe 22 755 89.5 16 102 83.1 38 857 86.9 22 939 89.1 18 890 73.9 41 829 82.2 691 Reisjärvi 20 095 100.9 14 104 94.1 34 198 98.1 20 389 99.9 16 280 85.2 36 670 93.4 746 Sievi 29 656 90.4 24 248 88.0 53 904 89.3 30 330 88.9 30 117 75.8 60 446 82.4 748 Siikajoki 33 276 81.1 34 621 75.8 67 896 78.4 33 686 80.5 40 641 67.6 74 328 73.4 791 Siikalatva 63 903 92.5 87 871 85.6 151 774 88.5 64 256 92.2 102 225 76.6 166 481 82.6 832 Taivalkoski 129 529 80.1 34 705 63.2 164 234 76.5 131 601 79.4 60 838 44.2 192 439 68.3 859 Tyrnävä 13 462 80.2 14 765 75.6 28 227 77.8 13 650 79.6 18 756 63.6 32 406 70.3 889 Utajärvi 47 308 87.1 55 926 74.1 103 234 80.0 47 771 86.6 71 510 62.2 119 281 72.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 88 Table 2d. Continued Forestry centre Forest land Forest and poorly productive forest land Mineral soil Peatland Total Mineral soil Peatland Total Municipality ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha ha m3/ha 926 Vihanti 15 413 90.7 19 179 81.2 34 592 85.4 15 542 90.3 22 490 72.1 38 032 79.5 972 Yli-Ii 23 750 90.2 26 513 73.2 50 263 81.2 23 928 89.9 33 941 61.6 57 869 73.3 977 Ylivieska 23 163 87.7 17 422 94.3 40 585 90.6 23 581 86.8 19 500 86.9 43 081 86.8 Total 1 366 832 84.1 961 824 80.4 2 328 656 82.5 1 385 228 83.5 1 250 593 66.6 2 635 821 75.5 Lapland 047 Enontekiö 63 205 59.4 2 951 36.4 66 157 58.4 125 592 41.3 18 300 19.2 143 893 38.5 148 Inari 380 285 65.2 6 783 29.0 387 068 64.6 474 927 57.6 59 076 21.7 534 003 53.6 240 Kemi 4 608 81.7 1 438 104.9 6 046 87.3 4 634 81.5 1 772 89.4 6 406 83.6 241 Keminmaa 21 564 81.5 18 579 97.1 40 143 88.7 21 706 81.3 23 256 82.3 44 962 81.8 261 Kittilä 334 319 61.4 46 580 49.3 380 898 59.9 343 655 60.5 174 588 26.4 518 243 49.0 273 Kolari 122 568 74.5 43 353 51.3 165 922 68.4 126 098 73.5 85 204 36.6 211 302 58.6 320 Kemijärvi 194 988 67.3 49 845 62.1 244 833 66.3 197 394 67.0 96 944 42.1 294 338 58.8 498 Muonio 95 421 63.5 6 026 42.9 101 447 62.3 102 579 63.7 25 890 23.6 128 469 55.6 583 Pelkosenniemi 78 579 60.8 28 060 65.1 106 638 61.9 79 931 60.3 52 697 44.8 132 628 54.2 614 Posio 139 675 66.1 36 895 58.4 176 570 64.5 142 559 65.5 74 194 39.2 216 754 56.5 683 Ranua 124 888 63.6 78 113 65.5 203 001 64.4 127 129 63.0 127 282 47.1 254 411 55.0 698 Rovaniemi 400 340 65.8 126 234 64.0 526 574 65.3 406 753 65.2 233 859 43.7 640 612 57.3 732 Salla 262 436 60.6 53 812 61.3 316 248 60.7 287 062 58.0 118 366 39.3 405 428 52.6 742 Savukoski 298 223 53.8 34 950 54.7 333 172 53.9 312 675 52.9 94 134 33.1 406 809 48.3 751 Simo 40 145 73.8 37 120 75.8 77 265 74.7 40 917 73.1 52 050 59.5 92 967 65.5 758 Sodankylä 437 244 53.9 54 983 51.1 492 227 53.6 455 761 53.2 178 573 29.9 634 333 46.7 845 Tervola 51 494 73.9 50 608 84.8 102 102 79.3 52 084 73.3 67 573 69.2 119 658 71.0 851 Tornio 42 916 86.2 35 099 86.3 78 015 86.2 42 983 86.0 46 144 71.2 89 127 78.3 854 Pello 99 900 68.2 31 717 63.7 131 618 67.1 102 801 67.1 50 210 48.1 153 012 60.9 890 Utsjoki 2 679 49.6 161 54.7 2 840 49.9 40 770 18.6 678 23.9 41 448 18.7 976 Ylitornio 81 678 60.7 55 290 64.2 136 967 62.1 84 961 59.3 82 340 50.3 167 301 54.9 Total 3 277 156 63.4 798 597 48.0 4 075 752 63.2 3 572 971 56.8 1 663 130 31.6 5 236 101 51.7 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 89 Table 3a. Dominant tree species on forest land by forestry centres. Forestry centre Treeless Pine Spruce Birch Other broadleaved tree species Total Municipality ha % ha % ha % ha % ha % ha % Åland 035 Brändö 22 0.8 1 398 50.8 255 9.3 530 19.3 546 19.9 2 751 100.0 043 Eckerö 59 1.0 3 681 64.0 904 15.7 812 14.1 296 5.2 5 751 100.0 060 Finström 108 1.6 3 764 57.3 1 100 16.7 1 066 16.2 536 8.2 6 574 100.0 062 Föglö 33 0.5 4 400 71.8 767 12.5 609 9.9 322 5.3 6 129 100.0 065 Geta 19 0.6 2 158 72.8 366 12.4 315 10.6 105 3.6 2 962 100.0 076 Hammarland 81 1.1 4 479 62.2 1 152 16.0 1 039 14.4 454 6.3 7 206 100.0 170 Jomala 142 1.9 4 317 57.5 1 362 18.1 1 126 15.0 561 7.5 7 507 100.0 295 Kumlinge 11 0.5 1 450 65.2 135 6.1 276 12.4 352 15.8 2 224 100.0 318 Kökar 0 0.0 14 4.6 21 6.8 11 3.7 257 84.7 304 100.0 417 Lemland 77 1.2 3 812 58.0 1 158 17.6 1 081 16.5 444 6.8 6 573 100.0 438 Lumparland 13 0.7 1 248 69.8 261 14.6 184 10.3 82 4.6 1 787 100.0 478 Mariehamn-Maarianhamina 14 3.5 210 52.6 50 12.5 73 18.4 52 13.1 398 100.0 736 Saltvik 42 0.7 4 320 71.8 865 14.4 561 9.3 225 3.8 6 013 100.0 766 Sottunga 2 0.3 408 67.7 64 10.6 70 11.5 60 10.0 603 100.0 771 Sund 34 0.7 3 476 68.6 766 15.1 566 11.2 226 4.5 5 069 100.0 941 Vårdö 12 0.3 2 634 76.0 453 13.1 283 8.2 86 2.5 3 468 100.0 Total 668 1.0 41 768 63.9 9 677 14.8 8 602 13.2 4 605 7.1 65 320 100.0 Rannikko/Etelärannikko 049 Espoo-Esbo 141 0.9 7 247 46.1 6 236 39.7 1 813 11.5 280 1.8 15 716 100.0 078 Hanko-Hangö 50 0.8 4 218 65.1 1 787 27.6 341 5.3 83 1.3 6 479 100.0 091 Helsinki-Helsingfors 159 2.2 2 866 39.6 2 978 41.1 1 048 14.5 194 2.7 7 244 100.0 092 Vantaa-Vanda 143 1.4 3 066 30.6 4 415 44.0 2 021 20.2 382 3.8 10 027 100.0 149 Ingå-Inkoo 285 1.5 11 047 58.5 6 027 31.9 1 341 7.1 169 0.9 18 870 100.0 235 Kauniainen-Grankulla 2 0.8 100 50.2 71 35.4 23 11.7 4 2.0 200 100.0 257 Kirkkonummi-Kyrkslätt 318 1.6 11 001 54.8 6 780 33.8 1 778 8.9 187 0.9 20 064 100.0 322 Kemiönsaari 615 1.8 24 569 70.7 7 721 22.2 1 520 4.4 350 1.0 34 775 100.0 407 Lapinjärvi-Lappträsk 147 0.8 7 496 41.1 8 788 48.1 1 642 9.0 188 1.0 18 260 100.0 424 Liljendal 56 0.9 2 618 43.8 2 773 46.3 487 8.1 51 0.9 5 985 100.0 434 Loviisa-Lovisa 28 1.0 1 487 53.1 1 099 39.3 169 6.0 16 0.6 2 798 100.0 444 Länsi-Turunmaa 893 2.0 31 473 70.1 8 700 19.4 2 878 6.4 942 2.1 44 886 100.0 585 Pernå-Pernaja 364 1.4 12 569 46.6 11 617 43.0 2 217 8.2 226 0.8 26 993 100.0 638 Porvoo-Borgå 445 1.2 17 407 46.6 16 039 42.9 3 084 8.3 394 1.1 37 369 100.0 701 Ruotsinpyhtää-Strömfors 202 1.1 8 164 45.1 7 598 42.0 1 912 10.6 234 1.3 18 110 100.0 710 Raasepori 611 0.9 41 716 60.6 21 223 30.8 4 427 6.4 860 1.3 68 837 100.0 753 Sipoo-Sibbo 178 1.0 7 465 40.2 8 643 46.5 2 030 10.9 272 1.5 18 588 100.0 755 Siuntio-Sjundeå 243 1.9 5 637 45.0 4 845 38.7 1 571 12.5 228 1.8 12 525 100.0 Total 4 878 1.3 200 148 54.4 127 339 34.6 30 300 8.2 5 059 1.4 367 725 100.0 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 14 2.1 354 51.5 162 23.6 134 19.5 23 3.4 687 100.0 280 Korsnäs 349 2.0 10 027 56.4 4 841 27.2 2 273 12.8 306 1.7 17 796 100.0 287 Kristinestad-Kristiinankaupunki 840 1.7 34 557 69.3 11 313 22.7 2 985 6.0 208 0.4 49 903 100.0 288 Kronoby-Kruunupyy 754 1.5 35 881 71.9 6 948 13.9 5 947 11.9 365 0.7 49 896 100.0 440 Larsmo-Luoto 290 2.7 6 919 64.5 2 021 18.8 1 411 13.2 89 0.8 10 730 100.0 475 Malax-Maalahti 599 1.7 20 541 58.3 9 029 25.6 4 490 12.8 565 1.6 35 224 100.0 499 Korsholm-Mustasaari 1 213 2.1 29 626 51.3 17 958 31.1 7 603 13.2 1 391 2.4 57 791 100.0 545 Närpes-Närpiö 1 259 1.9 42 742 65.6 15 425 23.7 5 398 8.3 330 0.5 65 153 100.0 559 Oravais-Oravainen 303 2.3 8 169 62.4 2 672 20.4 1 800 13.8 144 1.1 13 088 100.0 598 Jakobstad-Pietarsaari 91 1.6 3 717 64.5 956 16.6 905 15.7 90 1.6 5 760 100.0 599 Pedersöre-Pedersören kunta 619 1.1 39 130 70.9 8 103 14.7 6 907 12.5 433 0.8 55 192 100.0 893 Nykarleby-Uusikaarlepyy 719 1.5 33 959 69.9 8 419 17.3 5 086 10.5 422 0.9 48 605 100.0 905 Vaasa-Vasa 204 1.7 5 369 45.2 4 228 35.6 1 729 14.5 362 3.0 11 892 100.0 945 Vörå-Maxmo Vöyri-Maksamaa 965 2.5 23 074 59.2 9 501 24.4 4 767 12.2 701 1.8 39 007 100.0 Total 8 219 1.8 294 064 63.8 101 576 22.1 51 437 11.2 5 428 1.2 460 725 100.0 Lounais-Suomi 019 Aura 55 1.4 2 283 60.0 1 053 27.7 342 9.0 72 1.9 3 805 100.0 050 Eura 240 0.7 21 101 60.7 10 510 30.2 2 672 7.7 235 0.7 34 758 100.0 051 Eurajoki 92 0.4 11 954 53.9 7 662 34.5 2 328 10.5 152 0.7 22 188 100.0 079 Harjavalta 53 0.7 4 038 55.2 2 520 34.4 666 9.1 44 0.6 7 321 100.0 099 Honkajoki 559 2.7 17 487 82.9 1 672 7.9 1 340 6.4 32 0.2 21 090 100.0 102 Huittinen 599 2.2 13 774 51.0 9 704 36.0 2 752 10.2 167 0.6 26 995 100.0 181 Jämijärvi 324 2.4 9 048 68.1 2 735 20.6 1 136 8.6 51 0.4 13 294 100.0 202 Kaarina 110 1.7 4 002 60.7 1 624 24.6 673 10.2 190 2.9 6 599 100.0 214 Kankaanpää 1 414 3.0 35 342 74.3 7 703 16.2 2 963 6.2 172 0.4 47 594 100.0 230 Karvia 681 2.2 26 961 84.9 2 356 7.4 1 693 5.3 59 0.2 31 750 100.0 254 Kiikoinen 112 1.2 5 123 55.8 3 200 34.8 692 7.5 59 0.6 9 185 100.0 271 Kokemäki 285 1.0 17 746 59.6 9 296 31.2 2 313 7.8 133 0.5 29 772 100.0 284 Koski T.l. 187 2.4 3 667 47.5 2 760 35.8 943 12.2 159 2.1 7 716 100.0 304 Kustavi 273 3.3 6 175 74.4 1 229 14.8 483 5.8 138 1.7 8 297 100.0 319 Köyliö 214 1.5 10 208 70.8 3 207 22.2 749 5.2 42 0.3 14 420 100.0 400 Laitila 488 1.6 22 135 70.3 7 268 23.1 1 362 4.3 250 0.8 31 502 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 90 Table 3a. Continued Forestry centre Treeless Pine Spruce Birch Other broadleaved tree species Total Municipality ha % ha % ha % ha % ha % ha % 413 Lavia 390 1.7 14 496 63.2 6 735 29.4 1 166 5.1 136 0.6 22 923 100.0 423 Lieto 109 1.3 5 431 64.5 2 147 25.5 602 7.2 136 1.6 8 425 100.0 430 Loimaa 700 2.2 16 400 50.8 12 187 37.8 2 667 8.3 331 1.0 32 284 100.0 442 Luvia 132 1.1 6 449 53.0 4 399 36.1 1 066 8.8 132 1.1 12 178 100.0 480 Marttila 134 1.6 5 037 58.6 2 496 29.0 788 9.2 142 1.7 8 596 100.0 481 Masku 176 1.9 6 120 66.3 1 991 21.6 779 8.4 164 1.8 9 230 100.0 484 Merikarvia 707 2.1 22 264 65.7 8 837 26.1 1 780 5.3 288 0.9 33 877 100.0 503 Mynämäki 335 1.2 19 803 67.9 6 668 22.9 2 038 7.0 312 1.1 29 156 100.0 529 Naantali 244 1.8 10 040 73.0 2 301 16.7 913 6.6 256 1.9 13 755 100.0 531 Nakkila 69 0.7 4 555 48.8 3 582 38.4 1 044 11.2 89 1.0 9 339 100.0 537 Noormarkku 235 1.0 13 654 56.0 8 919 36.6 1 423 5.8 139 0.6 24 370 100.0 538 Nousiainen 149 1.5 6 679 66.8 2 451 24.5 618 6.2 95 1.0 9 991 100.0 561 Oripää 95 1.9 3 149 63.1 1 336 26.8 362 7.3 53 1.1 4 995 100.0 577 Paimio 147 1.3 7 396 64.2 2 890 25.1 886 7.7 197 1.7 11 516 100.0 608 Pomarkku 205 0.9 12 799 56.8 8 436 37.4 907 4.0 195 0.9 22 541 100.0 609 Pori 289 0.9 15 625 50.5 11 633 37.6 3 071 9.9 325 1.1 30 943 100.0 631 Pyhäranta 124 1.3 6 431 66.9 2 243 23.3 580 6.0 234 2.4 9 612 100.0 636 Pöytyä 306 0.8 26 338 65.2 10 401 25.8 2 909 7.2 429 1.1 40 383 100.0 680 Raisio 36 1.9 1 221 63.2 422 21.9 200 10.4 53 2.7 1 931 100.0 684 Rauma 254 0.8 20 395 66.4 7 357 24.0 2 222 7.2 478 1.6 30 706 100.0 704 Rusko 64 1.1 3 979 65.0 1 571 25.7 436 7.1 73 1.2 6 124 100.0 734 Salo 1 117 1.1 63 162 60.4 30 234 28.9 8 259 7.9 1 797 1.7 104 569 100.0 738 Sauvo 184 1.5 8 061 66.4 2 830 23.3 878 7.2 188 1.6 12 141 100.0 747 Siikainen 645 1.8 23 932 68.2 8 165 23.3 2 124 6.1 240 0.7 35 105 100.0 761 Somero 435 1.3 16 222 49.2 12 697 38.5 3 197 9.7 427 1.3 32 978 100.0 783 Säkylä 154 1.6 6 767 69.0 2 284 23.3 531 5.4 68 0.7 9 804 100.0 833 Taivassalo 162 2.5 4 767 72.8 1 052 16.1 451 6.9 116 1.8 6 549 100.0 838 Tarvasjoki 57 1.4 2 440 59.1 1 192 28.9 350 8.5 91 2.2 4 129 100.0 853 Turku-Åbo 172 1.7 5 982 59.1 2 448 24.2 1 189 11.7 337 3.3 10 129 100.0 886 Ulvila 116 0.4 15 850 57.2 9 747 35.2 1 859 6.7 130 0.5 27 702 100.0 895 Uusikaupunki 549 1.9 20 364 70.7 5 363 18.6 2 063 7.2 473 1.6 28 812 100.0 918 Vehmaa 206 2.1 6 795 70.4 1 771 18.4 732 7.6 146 1.5 9 650 100.0 Total 14 381 1.5 613 643 63.2 261 284 26.9 71 198 7.3 10 223 1.1 970 730 100.0 Häme-Uusimaa 015 Artjärvi 107 1.2 3 202 36.0 4 453 50.1 993 11.2 128 1.4 8 883 100.0 016 Asikkala 381 0.9 13 770 34.0 20 607 50.9 5 007 12.4 686 1.7 40 452 100.0 018 Askola 140 1.3 3 876 35.0 5 692 51.5 1 201 10.9 152 1.4 11 061 100.0 061 Forssa 76 0.6 4 395 33.0 7 456 56.0 1 293 9.7 90 0.7 13 310 100.0 081 Hartola 258 0.6 14 370 32.6 23 445 53.2 5 636 12.8 390 0.9 44 099 100.0 082 Hattula 366 1.6 9 462 40.2 10 818 46.0 2 542 10.8 333 1.4 23 521 100.0 086 Hausjärvi 348 1.8 6 649 35.1 10 053 53.0 1 698 9.0 225 1.2 18 972 100.0 098 Hollola 346 1.2 8 436 29.4 16 233 56.6 3 140 11.0 511 1.8 28 666 100.0 103 Humppila 96 1.4 2 867 40.4 3 471 48.8 635 8.9 37 0.5 7 106 100.0 106 Hyvinkää 324 1.6 6 977 35.2 10 356 52.3 1 922 9.7 230 1.2 19 807 100.0 109 Hämeenlinna 1 717 1.3 45 091 35.0 69 749 54.1 11 151 8.7 1 249 1.0 128 958 100.0 111 Heinola 567 1.0 25 427 45.3 22 879 40.8 6 551 11.7 700 1.3 56 124 100.0 165 Janakkala 547 1.6 11 654 35.0 17 629 52.9 3 102 9.3 412 1.2 33 343 100.0 169 Jokioinen 130 1.7 2 469 31.5 4 394 56.0 798 10.2 58 0.7 7 849 100.0 186 Järvenpää 25 1.8 379 27.0 667 47.6 274 19.6 56 4.0 1 401 100.0 223 Karjalohja 128 1.8 3 345 46.5 2 483 34.6 1 039 14.5 193 2.7 7 188 100.0 224 Karkkila 209 1.3 6 468 40.4 7 363 46.0 1 753 11.0 218 1.4 16 011 100.0 245 Kerava 18 1.5 394 32.3 529 43.4 236 19.3 43 3.6 1 220 100.0 283 Hämeenkoski 146 1.3 2 851 24.6 7 021 60.7 1 363 11.8 194 1.7 11 575 100.0 316 Kärkölä 234 1.7 3 949 28.6 7 961 57.6 1 517 11.0 165 1.2 13 826 100.0 398 Lahti 113 1.6 2 273 32.9 3 372 48.9 947 13.7 197 2.9 6 901 100.0 433 Loppi 652 1.5 17 455 41.0 20 132 47.3 3 879 9.1 475 1.1 42 593 100.0 444 Lohja 345 1.8 7 683 40.0 7 536 39.3 3 073 16.0 562 2.9 19 199 100.0 504 Myrskylä-Mörskom 120 1.0 4 118 35.5 5 895 50.9 1 288 11.1 167 1.4 11 588 100.0 505 Mäntsälä 537 1.6 10 454 30.3 20 096 58.3 3 068 8.9 322 0.9 34 477 100.0 532 Nastola 227 1.1 8 513 40.1 9 317 43.9 2 677 12.6 498 2.4 21 232 100.0 540 Nummi-Pusula 481 1.7 13 125 46.4 10 753 38.0 3 487 12.3 462 1.6 28 309 100.0 543 Nurmijärvi 373 2.2 5 651 33.4 7 398 43.8 3 009 17.8 479 2.8 16 909 100.0 560 Orimattila 473 1.4 12 083 35.5 17 526 51.5 3 477 10.2 492 1.5 34 050 100.0 576 Padasjoki 424 1.0 16 531 39.1 21 860 51.7 3 116 7.4 315 0.8 42 247 100.0 611 Pornainen 83 1.1 2 837 36.2 3 770 48.1 1 000 12.8 143 1.8 7 832 100.0 616 Pukkila 78 1.1 2 204 32.1 3 499 51.0 956 13.9 123 1.8 6 859 100.0 694 Riihimäki 130 1.9 2 021 29.7 3 686 54.2 832 12.2 129 1.9 6 798 100.0 781 Sysmä 339 0.7 17 642 33.7 27 491 52.5 6 375 12.2 538 1.0 52 384 100.0 834 Tammela 312 0.7 20 326 46.6 19 420 44.6 3 473 8.0 49 0.1 43 581 100.0 858 Tuusula 189 1.9 2 817 27.9 4 860 48.1 1 896 18.8 333 3.3 10 096 100.0 927 Vihti 367 1.2 12 349 41.0 13 100 43.5 3 739 12.4 554 1.8 30 108 100.0 981 Ypäjä 83 1.1 2 752 35.5 4 103 52.9 766 9.9 53 0.7 7 757 100.0 Total 11 490 1.3 336 866 36.8 457 069 49.9 98 907 10.8 11 963 1.3 916 294 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 91 Table 3a. Continued Forestry centre Treeless Pine Spruce Birch Other broadleaved tree species Total Municipality ha % ha % ha % ha % ha % ha % Kaakkois-Suomi 075 Hamina 1 136 2.6 25 841 58.8 13 717 31.2 2 800 6.4 429 1.0 43 924 100.0 142 Iitti 383 1.0 15 564 39.2 19 019 47.9 4 267 10.8 454 1.1 39 687 100.0 153 Imatra 218 2.2 3 830 38.9 4 668 47.5 998 10.1 124 1.3 9 838 100.0 285 Kotka 535 3.0 10 373 57.4 5 537 30.6 1 505 8.3 139 0.8 18 088 100.0 286 Kouvola 2 234 1.3 95 531 54.4 60 995 34.7 15 115 8.6 1 729 1.0 175 604 100.0 405 Lappeenranta 1 661 2.3 36 795 50.6 27 138 37.3 6 231 8.6 894 1.2 72 720 100.0 416 Lemi 308 1.9 8 749 53.9 5 291 32.6 1 704 10.5 183 1.1 16 235 100.0 441 Luumäki 1 264 2.1 34 779 59.0 18 060 30.6 4 292 7.3 559 1.0 58 953 100.0 489 Miehikkälä 673 2.1 18 450 58.4 10 307 32.6 1 892 6.0 263 0.8 31 585 100.0 580 Parikkala 550 1.3 18 092 42.0 17 371 40.3 6 575 15.3 511 1.2 43 098 100.0 624 Pyhtää-Pyttis 139 0.7 9 180 48.9 7 209 38.4 1 953 10.4 304 1.6 18 785 100.0 689 Rautjärvi 533 1.9 11 022 38.8 13 163 46.3 3 286 11.6 408 1.4 28 411 100.0 700 Ruokolahti 1 068 1.3 46 381 58.1 24 134 30.2 7 623 9.6 621 0.8 79 827 100.0 739 Savitaipale 692 1.6 28 287 65.0 10 529 24.2 3 721 8.5 321 0.7 43 550 100.0 775 Suomenniemi 316 1.3 16 735 69.3 5 354 22.2 1 621 6.7 131 0.5 24 157 100.0 831 Taipalsaari 286 1.0 18 955 68.3 6 141 22.1 2 203 7.9 154 0.6 27 740 100.0 935 Virolahti 767 3.0 14 875 57.6 8 299 32.1 1 663 6.4 237 0.9 25 842 100.0 978 Ylämaa 568 1.9 17 716 58.2 10 175 33.4 1 748 5.7 237 0.8 30 444 100.0 Total 13 331 1.7 431 155 54.7 267 106 33.9 69 198 8.8 7 698 1.0 788 488 100.0 Pirkanmaa 020 Akaa 67 1.3 1 626 31.6 2 701 52.5 687 13.3 67 1.3 5 148 100.0 108 Hämeenkyrö 372 1.2 13 490 42.5 13 290 41.8 4 072 12.8 557 1.8 31 781 100.0 143 Ikaalinen 762 1.3 33 504 58.7 17 548 30.7 4 701 8.2 590 1.0 57 105 100.0 177 Juupajoki 280 1.4 10 108 49.4 8 384 40.9 1 545 7.5 167 0.8 20 484 100.0 211 Kangasala 755 2.3 13 714 41.7 14 763 44.9 3 103 9.4 524 1.6 32 859 100.0 250 Kihniö 357 1.3 21 740 78.9 3 407 12.4 1 992 7.2 58 0.2 27 555 100.0 289 Kuhmalahti 219 1.8 4 968 39.8 6 018 48.2 1 157 9.3 122 1.0 12 483 100.0 310 Kylmäkoski 114 1.1 4 048 37.7 5 491 51.1 1 044 9.7 56 0.5 10 752 100.0 418 Lempäälä 788 4.6 5 302 30.6 9 001 52.0 1 848 10.7 389 2.3 17 328 100.0 508 Mänttä-Vilppula 492 1.1 21 068 48.2 17 821 40.8 3 787 8.7 521 1.2 43 690 100.0 536 Nokia 364 1.9 6 760 35.6 9 376 49.3 2 177 11.5 340 1.8 19 018 100.0 562 Orivesi 828 1.3 28 551 45.3 27 864 44.2 5 142 8.2 602 1.0 62 988 100.0 581 Parkano 1 244 1.9 50 654 77.0 9 566 14.6 4 202 6.4 89 0.1 65 755 100.0 604 Pirkkala 221 4.4 1 376 27.3 2 685 53.2 623 12.3 140 2.8 5 044 100.0 619 Punkalaidun 292 1.6 8 912 48.9 7 423 40.7 1 445 7.9 157 0.9 18 229 100.0 635 Pälkäne 481 1.2 13 153 32.3 22 966 56.4 3 648 9.0 473 1.2 40 721 100.0 702 Ruovesi 615 1.0 33 556 53.1 24 276 38.4 4 204 6.7 536 0.9 63 188 100.0 790 Sastamala 1 370 1.6 46 617 53.4 31 280 35.9 7 436 8.5 523 0.6 87 225 100.0 837 Tampere 511 1.3 16 377 43.1 17 334 45.6 3 350 8.8 474 1.3 38 046 100.0 887 Urjala 399 1.4 11 718 40.8 13 424 46.7 2 978 10.4 219 0.8 28 738 100.0 908 Valkeakoski 247 1.5 5 166 32.3 8 355 52.2 1 930 12.1 315 2.0 16 012 100.0 922 Vesilahti 369 1.9 7 439 37.4 10 296 51.7 1 685 8.5 127 0.6 19 916 100.0 936 Virrat 1 439 1.6 67 495 72.9 18 139 19.6 5 389 5.8 173 0.2 92 635 100.0 980 Ylöjärvi 954 1.1 52 342 58.2 29 878 33.2 6 127 6.8 650 0.7 89 951 100.0 Total 13 540 1.5 479 685 52.9 331 288 36.5 74 270 8.2 7 868 0.9 906 650 100.0 Etelä-Savo 046 Enonkoski 513 2.0 11 214 42.8 11 463 43.8 2 726 10.4 272 1.0 26 189 100.0 090 Heinävesi 1 490 1.6 37 484 41.1 42 763 46.9 8 717 9.6 667 0.7 91 121 100.0 097 Hirvensalmi 313 0.8 16 007 41.7 15 565 40.5 5 877 15.3 638 1.7 38 400 100.0 171 Joroinen 884 1.9 21 977 48.0 18 255 39.9 4 610 10.1 89 0.2 45 815 100.0 178 Juva 1 070 1.1 50 073 53.2 33 888 36.0 8 173 8.7 844 0.9 94 049 100.0 213 Kangasniemi 1 153 1.3 43 588 48.3 36 002 39.9 8 879 9.8 662 0.7 90 285 100.0 246 Kerimäki 746 1.6 20 168 44.3 18 016 39.5 6 204 13.6 436 1.0 45 571 100.0 491 Mikkeli 1 518 1.1 64 270 47.7 51 012 37.9 16 284 12.1 1 686 1.3 134 770 100.0 507 Mäntyharju 907 1.1 48 804 59.7 22 983 28.1 8 254 10.1 829 1.0 81 776 100.0 588 Pertunmaa 262 0.9 11 048 36.1 13 868 45.3 5 022 16.4 431 1.4 30 632 100.0 593 Pieksämäki 2 370 1.8 70 539 52.3 47 919 35.6 13 498 10.0 443 0.3 134 769 100.0 618 Punkaharju 542 1.4 19 220 48.7 14 697 37.3 4 653 11.8 326 0.8 39 439 100.0 623 Puumala 535 0.8 49 725 71.7 13 426 19.4 5 276 7.6 365 0.5 69 326 100.0 681 Rantasalmi 785 1.8 19 920 44.9 17 811 40.2 5 350 12.1 499 1.1 44 365 100.0 696 Ristiina 458 1.0 25 619 55.3 14 538 31.4 5 166 11.2 564 1.2 46 345 100.0 740 Savonlinna 1 514 1.5 51 824 49.7 38 694 37.1 11 468 11.0 856 0.8 104 356 100.0 768 Sulkava 844 1.7 28 929 58.0 14 164 28.4 5 553 11.1 403 0.8 49 893 100.0 Total 15 905 1.4 590 409 50.6 425 066 36.4 125 711 10.8 10 009 0.9 1 167 100 100.0 Etelä-Pohjanmaa 005 Alajärvi 1 350 1.8 62 282 83.3 6 778 9.1 4 160 5.6 241 0.3 74 811 100.0 010 Alavus 1 200 2.2 45 191 83.4 4 533 8.4 3 199 5.9 77 0.1 54 200 100.0 052 Evijärvi 479 2.0 17 558 74.7 2 420 10.3 2 908 12.4 126 0.5 23 491 100.0 074 Halsua 243 0.9 23 920 89.5 1 172 4.4 1 314 4.9 67 0.3 26 717 100.0 095 Himanka 397 2.2 14 652 79.5 1 677 9.1 1 639 8.9 74 0.4 18 439 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 92 Table 3a. Continued Forestry centre Treeless Pine Spruce Birch Other broadleaved tree species Total Municipality ha % ha % ha % ha % ha % ha % 145 Ilmajoki 655 2.0 24 729 73.4 5 949 17.7 2 202 6.5 140 0.4 33 676 100.0 151 Isojoki 625 1.4 36 391 79.5 6 339 13.8 2 339 5.1 98 0.2 45 792 100.0 152 Isokyrö 338 1.8 13 183 69.2 3 414 17.9 1 963 10.3 145 0.8 19 043 100.0 164 Jalasjärvi 1 273 2.6 40 091 80.4 5 337 10.7 3 056 6.1 124 0.3 49 881 100.0 217 Kannus 466 1.4 26 083 80.8 2 576 8.0 3 091 9.6 79 0.2 32 295 100.0 218 Karijoki 131 1.1 9 273 75.7 2 272 18.6 524 4.3 45 0.4 12 245 100.0 232 Kauhajoki 1 435 1.8 68 829 84.3 7 775 9.5 3 404 4.2 192 0.2 81 633 100.0 233 Kauhava 1 714 2.3 59 228 78.7 6 392 8.5 7 352 9.8 537 0.7 75 225 100.0 236 Kaustinen 397 1.7 18 859 81.2 1 810 7.8 2 069 8.9 84 0.4 23 219 100.0 272 Kokkola-Karleby 1 727 1.8 75 057 77.7 10 404 10.8 8 832 9.2 538 0.6 96 559 100.0 300 Kuortane 816 2.5 27 399 82.6 3 126 9.4 1 765 5.3 85 0.3 33 191 100.0 301 Kurikka 1 134 1.9 44 104 74.4 9 951 16.8 3 838 6.5 225 0.4 59 252 100.0 399 Laihia 489 1.5 21 928 67.1 6 956 21.3 3 114 9.5 205 0.6 32 693 100.0 403 Lappajärvi 479 1.7 22 381 79.0 2 418 8.5 2 813 9.9 224 0.8 28 315 100.0 408 Lapua 574 1.4 32 624 78.2 4 313 10.3 3 978 9.5 251 0.6 41 739 100.0 421 Lestijärvi 652 1.9 26 845 78.6 3 714 10.9 2 743 8.0 208 0.6 34 161 100.0 584 Perho 699 1.4 42 698 85.0 3 696 7.4 2 909 5.8 230 0.5 50 233 100.0 743 Seinäjoki 1 972 2.3 67 013 76.8 11 198 12.8 6 779 7.8 299 0.3 87 260 100.0 759 Soini 619 1.5 34 510 81.3 4 651 11.0 2 508 5.9 180 0.4 42 468 100.0 846 Teuva 618 1.7 27 548 76.2 6 193 17.1 1 690 4.7 125 0.3 36 173 100.0 849 Toholampi 530 1.4 30 894 82.1 3 514 9.3 2 639 7.0 70 0.2 37 648 100.0 863 Töysä 506 2.3 18 918 84.6 1 960 8.8 928 4.2 49 0.2 22 360 100.0 924 Veteli 511 1.6 25 607 81.4 2 499 7.9 2 694 8.6 167 0.5 31 477 100.0 934 Vimpeli 189 1.0 14 670 81.2 1 523 8.4 1 583 8.8 110 0.6 18 075 100.0 942 Vähäkyrö 240 2.7 5 053 56.4 2 147 24.0 1 306 14.6 213 2.4 8 959 100.0 989 Ähtäri 945 1.4 51 838 78.3 9 225 13.9 3 985 6.0 249 0.4 66 242 100.0 Total 23 403 1.8 1 029 359 79.3 145 932 11.3 93 322 7.2 5 455 0.4 1 297 471 100.0 Keski-Suomi 077 Hankasalmi 511 1.2 20 192 45.4 18 262 41.1 5 231 11.8 294 0.7 44 490 100.0 172 Joutsa 424 0.6 30 376 42.3 32 479 45.2 8 174 11.4 409 0.6 71 862 100.0 179 Jyväskylä 1 253 1.3 38 904 41.5 43 721 46.7 9 317 10.0 469 0.5 93 665 100.0 182 Jämsä 1 585 1.2 66 393 51.2 51 044 39.4 9 904 7.6 650 0.5 129 577 100.0 216 Kannonkoski 615 1.6 28 306 72.6 7 358 18.9 2 414 6.2 276 0.7 38 970 100.0 226 Karstula 854 1.2 53 761 76.1 10 404 14.7 5 200 7.4 420 0.6 70 640 100.0 249 Keuruu 1 198 1.1 71 813 67.5 26 086 24.5 6 563 6.2 738 0.7 106 398 100.0 256 Kinnula 555 1.5 28 609 76.9 5 002 13.4 2 843 7.6 217 0.6 37 225 100.0 265 Kivijärvi 790 1.9 31 584 76.2 6 370 15.4 2 440 5.9 241 0.6 41 425 100.0 275 Konnevesi 817 1.9 19 670 44.5 18 204 41.2 5 278 12.0 200 0.5 44 169 100.0 291 Kuhmoinen 793 1.4 24 878 43.9 26 820 47.3 4 016 7.1 158 0.3 56 665 100.0 312 Kyyjärvi 372 1.1 27 657 81.2 3 342 9.8 2 541 7.5 148 0.4 34 059 100.0 410 Laukaa 790 1.6 23 256 47.9 19 411 39.9 4 881 10.0 259 0.5 48 597 100.0 435 Luhanka 142 0.8 6 616 37.0 8 818 49.3 2 018 11.3 279 1.6 17 872 100.0 495 Multia 780 1.2 47 511 74.7 11 168 17.6 3 836 6.0 338 0.5 63 633 100.0 500 Muurame 151 1.3 3 788 33.3 6 084 53.4 1 300 11.4 68 0.6 11 392 100.0 592 Petäjävesi 406 1.1 21 251 56.2 12 894 34.1 2 988 7.9 275 0.7 37 815 100.0 601 Pihtipudas 898 1.0 61 107 68.9 20 485 23.1 5 832 6.6 328 0.4 88 650 100.0 729 Saarijärvi 1 317 1.3 70 365 68.1 21 917 21.2 8 907 8.6 891 0.9 103 395 100.0 850 Toivakka 438 1.5 14 808 49.2 12 034 40.0 2 734 9.1 98 0.3 30 113 100.0 892 Uurainen 314 1.1 17 149 60.3 8 778 30.9 2 039 7.2 168 0.6 28 449 100.0 931 Viitasaari 1 364 1.3 67 521 62.6 30 366 28.2 7 476 6.9 1 153 1.1 107 880 100.0 992 Äänekoski 1 164 1.5 40 181 53.3 26 858 35.6 6 879 9.1 287 0.4 75 369 100.0 Total 17 532 1.3 815 696 59.0 427 906 31.0 112 812 8.2 8 364 0.6 1 382 311 100.0 Pohjois-Savo 140 Iisalmi 853 1.5 19 997 36.0 25 927 46.7 8 259 14.9 455 0.8 55 491 100.0 174 Juankoski 454 1.3 15 909 44.5 14 645 41.0 4 377 12.3 353 1.0 35 737 100.0 204 Kaavi 634 1.1 34 393 58.9 18 258 31.3 4 663 8.0 457 0.8 58 406 100.0 227 Karttula 817 2.0 18 713 45.3 17 172 41.5 4 466 10.8 183 0.4 41 351 100.0 239 Keitele 480 1.2 22 734 55.4 13 655 33.3 4 071 9.9 104 0.3 41 044 100.0 263 Kiuruvesi 1 398 1.4 46 384 47.3 34 971 35.6 14 917 15.2 453 0.5 98 123 100.0 297 Kuopio 1 154 1.3 28 498 32.1 46 710 52.6 11 558 13.0 931 1.1 88 851 100.0 402 Lapinlahti 619 1.4 17 567 38.4 21 284 46.5 6 008 13.1 298 0.7 45 776 100.0 420 Leppävirta 1 378 1.5 33 857 36.0 47 292 50.2 10 724 11.4 883 0.9 94 134 100.0 476 Maaninka 497 1.5 11 912 35.0 16 518 48.5 4 880 14.3 234 0.7 34 041 100.0 534 Nilsiä 888 1.6 22 384 40.2 25 356 45.5 6 717 12.1 391 0.7 55 736 100.0 595 Pielavesi 1 178 1.3 45 407 48.5 34 657 37.0 11 962 12.8 351 0.4 93 554 100.0 686 Rautalampi 669 1.5 21 054 46.8 17 138 38.1 5 981 13.3 163 0.4 45 005 100.0 687 Rautavaara 568 0.6 68 564 72.3 19 887 21.0 5 512 5.8 295 0.3 94 826 100.0 749 Siilinjärvi 547 2.0 8 004 29.5 14 644 54.0 3 679 13.6 243 0.9 27 117 100.0 762 Sonkajärvi 1 029 0.9 77 525 65.9 28 552 24.3 9 857 8.4 616 0.5 117 579 100.0 778 Suonenjoki 1 102 1.8 30 668 50.4 22 918 37.7 5 944 9.8 188 0.3 60 821 100.0 844 Tervo 398 1.3 12 549 42.3 12 204 41.1 4 412 14.9 142 0.5 29 705 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 93 Table 3a. Continued Forestry centre Treeless Pine Spruce Birch Other broadleaved tree species Total Municipality ha % ha % ha % ha % ha % ha % 857 Tuusniemi 573 1.3 15 113 33.7 22 951 51.1 5 815 13.0 451 1.0 44 904 100.0 915 Varkaus 500 1.6 12 408 39.5 14 995 47.7 3 288 10.5 246 0.8 31 437 100.0 916 Varpaisjärvi 635 1.7 17 807 46.6 14 970 39.2 4 494 11.8 272 0.7 38 178 100.0 921 Vesanto 332 0.9 17 257 48.7 13 181 37.2 4 524 12.8 131 0.4 35 426 100.0 925 Vieremä 999 1.4 41 131 57.5 20 634 28.8 8 411 11.8 425 0.6 71 600 100.0 Total 17 701 1.3 639 836 47.8 518 520 38.7 154 520 11.5 8 265 0.6 1 338 842 100.0 Pohjois-Karjala 146 Ilomantsi 2 262 1.0 169 480 77.2 31 652 14.4 15 567 7.1 537 0.2 219 498 100.0 167 Joensuu 2 832 1.4 107 642 54.3 60 679 30.6 25 737 13.0 1 272 0.6 198 162 100.0 176 Juuka 1 618 1.3 86 036 67.7 27 449 21.6 11 363 8.9 659 0.5 127 124 100.0 248 Kesälahti 481 1.5 17 804 55.7 9 372 29.3 3 999 12.5 286 0.9 31 942 100.0 260 Kitee 831 1.2 32 744 48.0 23 128 33.9 10 793 15.8 682 1.0 68 178 100.0 276 Kontiolahti 1 042 1.6 39 098 58.4 17 523 26.2 8 651 12.9 631 0.9 66 944 100.0 309 Outokumpu 571 1.6 19 490 54.6 10 960 30.7 4 272 12.0 393 1.1 35 685 100.0 422 Lieksa 3 738 1.3 223 232 76.5 42 235 14.5 21 271 7.3 1 251 0.4 291 727 100.0 426 Liperi 964 1.8 26 089 49.1 18 085 34.1 7 359 13.9 610 1.2 53 107 100.0 541 Nurmes 1 398 1.0 94 793 68.2 30 482 21.9 11 304 8.1 1 040 0.8 139 016 100.0 607 Polvijärvi 855 1.4 37 631 60.5 14 726 23.7 8 353 13.4 667 1.1 62 231 100.0 707 Rääkkylä 358 1.1 14 802 44.8 12 131 36.8 5 223 15.8 499 1.5 33 014 100.0 848 Tohmajärvi 791 1.2 35 817 54.9 20 399 31.2 7 955 12.2 333 0.5 65 295 100.0 911 Valtimo 536 0.8 46 406 67.7 15 804 23.0 5 541 8.1 299 0.4 68 585 100.0 Total 18 276 1.3 951 064 65.1 334 623 22.9 147 388 10.1 9 158 0.6 1 460 508 100.0 Kainuu 105 Hyrynsalmi 931 0.8 89 161 77.6 16 383 14.3 8 305 7.2 75 0.1 114 855 100.0 205 Kajaani 1 806 1.2 114 399 78.2 16 235 11.1 12 863 8.8 1 035 0.7 146 338 100.0 290 Kuhmo 3 232 0.8 331 198 84.9 40 193 10.3 15 411 4.0 220 0.1 390 254 100.0 578 Paltamo 882 1.1 55 006 70.4 14 916 19.1 6 832 8.8 477 0.6 78 113 100.0 620 Puolanka 1 856 1.0 141 968 73.2 34 814 17.9 15 067 7.8 310 0.2 194 016 100.0 697 Ristijärvi 618 0.9 51 989 74.5 11 609 16.6 5 504 7.9 52 0.1 69 772 100.0 765 Sotkamo 2 226 1.0 167 183 73.8 39 513 17.5 16 529 7.3 1 029 0.5 226 479 100.0 777 Suomussalmi 4 625 1.2 330 862 82.8 47 231 11.8 16 849 4.2 250 0.1 399 816 100.0 785 Vaala 1 732 2.0 72 095 81.8 5 089 5.8 9 182 10.4 89 0.1 88 186 100.0 Total 17 907 1.1 1 353 861 79.3 225 982 13.2 106 542 6.2 3 536 0.2 1 707 829 100.0 Pohjois-Pohjanmaa 009 Alavieska 311 2.0 11 851 74.3 2 380 14.9 1 396 8.8 14 0.1 15 952 100.0 069 Haapajärvi 543 0.9 40 218 68.8 11 513 19.7 5 994 10.3 168 0.3 58 436 100.0 071 Haapavesi 1 439 1.9 54 267 71.0 11 607 15.2 8 977 11.8 101 0.1 76 392 100.0 072 Hailuoto 463 3.4 9 860 71.4 1 855 13.4 1 535 11.1 91 0.7 13 803 100.0 084 Haukipudas 750 2.5 23 435 76.7 3 495 11.4 2 770 9.1 117 0.4 30 568 100.0 139 Ii 1 406 1.4 81 101 78.2 12 729 12.3 7 771 7.5 644 0.6 103 651 100.0 208 Kalajoki 1 676 3.7 34 063 74.4 5 360 11.7 4 636 10.1 51 0.1 45 787 100.0 244 Kempele 97 1.6 4 139 69.9 760 12.8 886 15.0 37 0.6 5 919 100.0 255 Kiiminki 410 1.8 18 236 79.4 2 616 11.4 1 687 7.4 15 0.1 22 964 100.0 305 Kuusamo 2 470 0.7 265 749 75.6 70 120 19.9 13 055 3.7 225 0.1 351 620 100.0 317 Kärsämäki 732 1.4 37 353 71.5 8 566 16.4 5 501 10.5 95 0.2 52 247 100.0 425 Liminka 605 1.6 28 066 74.3 3 079 8.2 5 850 15.5 159 0.4 37 759 100.0 436 Lumijoki 347 2.7 8 450 66.1 1 591 12.5 2 325 18.2 65 0.5 12 778 100.0 483 Merijärvi 438 2.6 11 872 69.4 3 001 17.5 1 789 10.5 6 0.0 17 107 100.0 494 Muhos 1 043 2.1 39 968 81.6 3 060 6.2 4 816 9.8 124 0.3 49 011 100.0 535 Nivala 470 1.5 21 103 69.1 5 912 19.4 2 947 9.7 101 0.3 30 532 100.0 563 Oulainen 880 2.0 30 772 70.1 7 958 18.1 4 247 9.7 14 0.0 43 871 100.0 564 Oulu 1 164 1.3 75 268 82.5 8 104 8.9 6 664 7.3 74 0.1 91 274 100.0 567 Oulunsalo 125 2.5 3 486 69.7 685 13.7 667 13.3 41 0.8 5 005 100.0 615 Pudasjärvi 3 190 0.9 303 639 82.7 42 242 11.5 17 105 4.7 790 0.2 366 966 100.0 625 Pyhäjoki 988 2.4 29 818 72.3 5 936 14.4 4 436 10.8 55 0.1 41 233 100.0 626 Pyhäsalmi 1 062 1.0 69 555 65.6 23 668 22.3 11 573 10.9 217 0.2 106 076 100.0 630 Pyhäntä 606 1.0 47 044 80.1 4 851 8.3 6 124 10.4 83 0.1 58 709 100.0 678 Raahe 776 2.0 29 046 74.4 4 360 11.2 4 673 12.0 190 0.5 39 046 100.0 691 Reisjärvi 593 1.7 25 375 73.5 5 230 15.2 3 258 9.4 66 0.2 34 523 100.0 746 Sievi 1 212 2.2 42 079 77.7 5 873 10.8 4 951 9.1 54 0.1 54 170 100.0 748 Siikajoki 1 973 2.8 51 717 74.4 6 014 8.7 9 510 13.7 301 0.4 69 515 100.0 791 Siikalatva 2 167 1.4 121 520 78.4 11 303 7.3 19 617 12.7 355 0.2 154 963 100.0 832 Taivalkoski 2 161 1.2 136 836 77.0 32 106 18.1 6 181 3.5 455 0.3 177 739 100.0 859 Tyrnävä 651 2.3 22 125 78.4 1 937 6.9 3 411 12.1 103 0.4 28 227 100.0 889 Utajärvi 1 621 1.5 90 943 85.0 5 529 5.2 8 833 8.3 44 0.0 106 970 100.0 926 Vihanti 704 2.0 25 289 72.7 4 229 12.2 4 451 12.8 106 0.3 34 780 100.0 972 Yli-Ii 547 1.1 41 689 82.9 3 951 7.9 4 021 8.0 85 0.2 50 293 100.0 977 Ylivieska 585 1.4 29 486 72.6 6 234 15.3 4 277 10.5 54 0.1 40 635 100.0 Total 34 208 1.4 1 865 420 76.8 327 853 13.5 195 938 8.1 5 102 0.2 2 428 520 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 94 Table 3a. Continued Forestry centre Treeless Pine Spruce Birch Other broadleaved tree species Total Municipality ha % ha % ha % ha % ha % ha % Lapland 047 Enontekiö 595 0.6 81 065 87.1 4 228 4.5 7 224 7.8 0 0.0 93 112 100.0 148 Inari 939 0.1 632 662 88.6 39 864 5.6 40 244 5.6 0 0.0 713 708 100.0 240 Kemi 148 2.4 2 757 43.8 2 382 37.9 892 14.2 113 1.8 6 291 100.0 241 Keminmaa 680 1.6 19 708 46.3 15 057 35.4 6 842 16.1 286 0.7 42 573 100.0 261 Kittilä 3 837 0.8 357 465 76.0 75 586 16.1 33 364 7.1 46 0.0 470 298 100.0 273 Kolari 1 380 0.8 142 628 82.5 18 301 10.6 10 506 6.1 16 0.0 172 831 100.0 320 Kemijärvi 1 271 0.5 210 426 84.5 23 460 9.4 13 748 5.5 17 0.0 248 921 100.0 498 Muonio 2 078 1.6 103 633 81.6 17 842 14.1 3 429 2.7 5 0.0 126 987 100.0 583 Pelkosenniemi 349 0.3 87 480 74.8 17 843 15.3 11 236 9.6 58 0.1 116 966 100.0 614 Posio 1 711 0.8 162 319 80.1 32 487 16.0 5 756 2.8 477 0.2 202 749 100.0 683 Ranua 1 464 0.7 172 912 81.9 25 764 12.2 9 913 4.7 961 0.5 211 014 100.0 698 Rovaniemi 4 468 0.8 447 257 82.5 63 641 11.8 25 497 4.7 985 0.2 541 848 100.0 732 Salla 2 538 0.7 251 378 69.5 81 526 22.5 26 163 7.2 216 0.1 361 821 100.0 742 Savukoski 3 172 0.7 346 152 79.4 64 716 14.8 21 884 5.0 134 0.0 436 058 100.0 751 Simo 895 1.1 62 309 72.9 14 495 17.0 7 233 8.5 566 0.7 85 498 100.0 758 Sodankylä 5 201 0.8 519 992 77.6 109 426 16.3 35 085 5.2 66 0.0 669 770 100.0 845 Tervola 1 397 1.3 57 887 53.9 30 976 28.8 16 553 15.4 635 0.6 107 448 100.0 851 Tornio 655 0.8 31 068 39.3 29 532 37.4 17 030 21.6 696 0.9 78 981 100.0 854 Pello 1 137 0.8 107 859 79.6 16 045 11.8 10 035 7.4 461 0.3 135 537 100.0 890 Utsjoki 0 0.0 3 962 62.9 480 7.6 1 858 29.5 0 0.0 6 299 100.0 976 Ylitornio 1 543 1.1 105 740 74.8 20 141 14.2 13 879 9.8 121 0.1 141 425 100.0 Total 35 458 0.7 3 906 658 78.6 703 791 14.2 318 369 6.4 5 858 0.1 4 970 135 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 95 Table 3b. Dominant tree species on poorly productive forest land by forestry centres. Forestry centre Treeless Pine Spruce Birch Other broadleaved tree species Total Municipality ha % ha % ha % ha % ha % ha % Åland 035 Brändö 0 0.0 1 136 54.5 0 0.0 501 24.0 448 21.5 2 085 100.0 043 Eckerö 0 0.0 1 824 97.4 0 0.0 29 1.5 20 1.1 1 873 100.0 060 Finström 0 0.0 1 580 96.7 0 0.0 24 1.4 30 1.9 1 634 100.0 062 Föglö 0 0.0 2 469 94.0 0 0.0 77 3.0 80 3.0 2 626 100.0 065 Geta 0 0.0 2 204 98.1 0 0.0 26 1.2 16 0.7 2 247 100.0 076 Hammarland 0 0.0 2 025 97.0 0 0.0 26 1.3 37 1.8 2 088 100.0 170 Jomala 0 0.0 1 375 96.6 0 0.0 22 1.5 27 1.9 1 424 100.0 295 Kumlinge 0 0.0 1 770 70.6 0 0.0 380 15.1 358 14.3 2 508 100.0 318 Kökar 0 0.0 118 15.1 0 0.0 456 58.5 206 26.4 780 100.0 417 Lemland 0 0.0 1 404 95.1 0 0.0 40 2.7 33 2.3 1 477 100.0 438 Lumparland 0 0.0 720 97.7 0 0.0 6 0.8 11 1.6 737 100.0 478 Mariehamn-Maarianhamina 0 0.0 126 97.0 0 0.0 1 1.1 2 1.9 130 100.0 736 Saltvik 0 0.0 3 463 98.7 0 0.0 24 0.7 23 0.7 3 511 100.0 766 Sottunga 0 0.0 382 71.4 0 0.0 83 15.5 70 13.1 534 100.0 771 Sund 0 0.0 2 264 98.3 0 0.0 17 0.8 22 1.0 2 304 100.0 941 Vårdö 0 0.0 2 568 97.7 0 0.0 32 1.2 29 1.1 2 628 100.0 Total 0 0.0 25 429 89.0 0 0.0 1 744 6.1 1 414 5.0 28 586 100.0 Rannikko/Etelärannikko 049 Espoo-Esbo 0 0.0 1 366 99.2 0 0.0 3 0.2 7 0.5 1 377 100.0 078 Hanko-Hangö 1 0.0 1 786 98.7 4 0.2 17 1.0 1 0.1 1 809 100.0 091 Helsinki-Helsingfors 0 0.0 1 061 99.4 0 0.0 6 0.5 0 0.0 1 067 100.0 092 Vantaa-Vanda 0 0.0 538 99.3 1 0.1 3 0.6 0 0.0 542 100.0 149 Ingå-Inkoo 0 0.0 2 748 99.2 2 0.1 20 0.7 1 0.0 2 770 100.0 235 Kauniainen-Grankulla 0 0.0 30 99.8 0 0.1 0 0.1 0 0.0 30 100.0 257 Kirkkonummi-Kyrkslätt 0 0.0 2 769 99.5 0 0.0 14 0.5 0 0.0 2 784 100.0 322 Kemiönsaari 11 0.1 11 086 98.3 47 0.4 104 0.9 28 0.3 11 277 100.0 407 Lapinjärvi-Lappträsk 0 0.0 423 97.3 1 0.3 11 2.5 0 0.0 435 100.0 424 Liljendal 0 0.0 163 98.4 0 0.2 2 1.4 0 0.0 165 100.0 434 Loviisa-Lovisa 0 0.0 142 99.1 0 0.2 1 0.8 0 0.0 143 100.0 444 Länsi-Turunmaa 21 0.1 15 065 98.0 53 0.4 166 1.1 62 0.4 15 366 100.0 585 Pernå-Pernaja 0 0.0 1 177 97.4 1 0.1 30 2.5 0 0.0 1 209 100.0 638 Porvoo-Borgå 0 0.0 2 035 98.5 2 0.1 23 1.1 5 0.3 2 066 100.0 701 Ruotsinpyhtää-Strömfors 0 0.0 581 97.5 1 0.2 13 2.1 1 0.3 596 100.0 710 Raasepori 7 0.1 10 161 98.2 47 0.5 123 1.2 6 0.1 10 344 100.0 753 Sipoo-Sibbo 0 0.0 1 072 99.6 1 0.1 4 0.4 0 0.0 1 076 100.0 755 Siuntio-Sjundeå 0 0.0 999 97.6 0 0.0 22 2.1 3 0.3 1 024 100.0 Total 40 0.1 53 201 98.4 162 0.3 562 1.0 115 0.2 54 080 100.0 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 1 4.0 7 49.2 0 0.0 0 1.1 7 45.7 15 100.0 280 Korsnäs 4 0.9 449 96.0 3 0.6 6 1.4 5 1.2 467 100.0 287 Kristinestad-Kristiinankaupunki 14 0.8 1 752 98.4 0 0.0 14 0.8 1 0.0 1 781 100.0 288 Kronoby-Kruunupyy 35 1.2 2 680 94.5 0 0.0 121 4.3 0 0.0 2 837 100.0 440 Larsmo-Luoto 15 3.0 457 88.8 0 0.0 42 8.2 0 0.1 515 100.0 475 Malax-Maalahti 12 0.8 1 461 94.3 22 1.4 39 2.5 14 0.9 1 549 100.0 499 Korsholm-Mustasaari 17 1.1 1 001 64.2 381 24.4 119 7.6 41 2.7 1 559 100.0 545 Närpes-Närpiö 19 0.7 2 568 97.8 10 0.4 28 0.9 2 0.2 2 627 100.0 559 Oravais-Oravainen 8 1.1 720 99.2 0 0.0 0 0.0 0 0.0 726 100.0 598 Jakobstad-Pietarsaari 4 1.2 266 87.1 0 0.0 35 11.5 1 0.3 305 100.0 599 Pedersöre-Pedersören kunta 29 1.0 2 834 94.1 6 0.2 142 4.7 0 0.0 3 012 100.0 893 Nykarleby-Uusikaarlepyy 33 1.1 2 850 98.9 0 0.0 0 0.0 0 0.0 2 882 100.0 905 Vaasa-Vasa 7 2.9 173 67.4 39 13.2 23 6.7 3 9.9 246 100.0 945 Vörå-Maxmo Vöyri-Maksamaa 16 1.0 1 549 96.6 15 1.0 7 0.4 16 1.0 1 603 100.0 Total 214 1.1 18 766 93.3 477 2.4 576 2.9 91 0.5 20 124 100.0 Lounais-Suomi 019 Aura 1 0.3 226 91.6 1 0.4 14 5.6 5 2.1 247 100.0 050 Eura 0 0.0 1 366 89.2 0 0.0 165 10.8 0 0.0 1 531 100.0 051 Eurajoki 0 0.0 811 91.9 0 0.0 72 8.1 0 0.0 883 100.0 079 Harjavalta 0 0.0 151 80.7 0 0.0 36 19.3 0 0.0 188 100.0 099 Honkajoki 0 0.0 1 340 98.2 0 0.0 25 1.8 0 0.0 1 365 100.0 102 Huittinen 0 0.0 774 90.8 0 0.0 78 9.2 0 0.0 852 100.0 181 Jämijärvi 0 0.0 470 97.4 0 0.0 13 2.6 0 0.0 483 100.0 202 Kaarina 1 0.1 609 92.5 3 0.5 20 3.1 25 3.8 659 100.0 214 Kankaanpää 0 0.0 2 230 97.9 0 0.0 47 2.1 0 0.0 2 277 100.0 230 Karvia 0 0.0 2 338 98.6 0 0.0 32 1.4 0 0.0 2 371 100.0 254 Kiikoinen 0 0.0 293 89.8 0 0.0 33 10.2 0 0.0 327 100.0 271 Kokemäki 0 0.0 638 85.3 0 0.0 110 14.7 0 0.0 748 100.0 284 Koski T.l. 0 0.0 360 94.8 0 0.1 19 5.1 0 0.0 380 100.0 304 Kustavi 6 0.2 3 238 97.9 7 0.2 45 1.4 13 0.4 3 309 100.0 319 Köyliö 0 0.0 945 95.5 0 0.0 44 4.5 0 0.0 990 100.0 400 Laitila 0 0.0 2 518 92.9 0 0.0 192 7.1 0 0.0 2 710 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 96 Table 3b. Continued Forestry centre Treeless Pine Spruce Birch Other broadleaved tree species Total Municipality ha % ha % ha % ha % ha % ha % 413 Lavia 0 0.0 1 026 94.5 0 0.0 59 5.5 0 0.0 1 086 100.0 423 Lieto 1 0.2 683 93.4 4 0.5 26 3.5 18 2.4 731 100.0 430 Loimaa 0 0.0 1 357 86.3 2 0.1 203 12.9 10 0.6 1 572 100.0 442 Luvia 0 0.0 108 84.5 0 0.0 20 15.5 0 0.0 128 100.0 480 Marttila 2 0.2 664 92.3 5 0.6 41 5.7 9 1.2 720 100.0 481 Masku 2 0.2 1 055 95.3 3 0.3 32 2.9 16 1.4 1 108 100.0 484 Merikarvia 0 0.0 720 98.0 0 0.0 15 2.0 0 0.0 734 100.0 503 Mynämäki 5 0.2 2 554 93.2 10 0.4 157 5.7 14 0.5 2 740 100.0 529 Naantali 2 0.1 4 340 98.3 10 0.2 42 1.0 22 0.5 4 417 100.0 531 Nakkila 0 0.0 184 83.9 0 0.0 35 16.1 0 0.0 220 100.0 537 Noormarkku 0 0.0 473 82.9 0 0.0 96 16.9 1 0.2 570 100.0 538 Nousiainen 2 0.2 1 065 95.8 6 0.5 32 2.9 7 0.6 1 111 100.0 561 Oripää 1 0.2 448 95.1 2 0.5 16 3.4 4 0.9 471 100.0 577 Paimio 2 0.1 1 112 94.0 8 0.6 33 2.8 29 2.4 1 183 100.0 608 Pomarkku 0 0.0 551 90.7 0 0.0 57 9.3 0 0.0 607 100.0 609 Pori 0 0.0 225 71.3 0 0.0 91 28.7 0 0.0 316 100.0 631 Pyhäranta 0 0.0 807 98.5 0 0.0 12 1.5 0 0.0 819 100.0 636 Pöytyä 6 0.2 3 539 94.4 19 0.5 173 4.6 11 0.3 3 748 100.0 680 Raisio 0 0.1 226 94.1 1 0.6 6 2.5 7 2.8 240 100.0 684 Rauma 0 0.0 3 221 98.4 0 0.0 51 1.6 0 0.0 3 272 100.0 704 Rusko 1 0.1 459 94.0 3 0.6 20 4.1 6 1.3 489 100.0 734 Salo 25 0.2 9 695 94.7 77 0.8 292 2.9 146 1.4 10 235 100.0 738 Sauvo 2 0.1 1 667 96.8 11 0.6 26 1.5 15 0.9 1 722 100.0 747 Siikainen 0 0.0 1 120 97.5 0 0.0 29 2.5 0 0.0 1 149 100.0 761 Somero 0 0.0 602 84.8 4 0.5 104 14.6 0 0.1 710 100.0 783 Säkylä 0 0.0 589 92.6 0 0.0 47 7.4 0 0.0 636 100.0 833 Taivassalo 2 0.1 1 565 97.2 4 0.2 27 1.7 13 0.8 1 610 100.0 838 Tarvasjoki 1 0.3 245 90.6 1 0.5 13 4.9 10 3.7 271 100.0 853 Turku-Åbo 1 0.1 937 90.7 4 0.4 39 3.7 52 5.1 1 033 100.0 886 Ulvila 0 0.0 690 82.0 0 0.0 152 18.1 0 0.0 842 100.0 895 Uusikaupunki 9 0.2 4 280 96.0 17 0.4 116 2.6 39 0.9 4 461 100.0 918 Vehmaa 2 0.2 1 098 94.2 4 0.3 43 3.7 18 1.6 1 165 100.0 Total 73 0.1 65 614 94.5 206 0.3 3 050 4.4 490 0.7 69 433 100.0 Häme-Uusimaa 015 Artjärvi 0 0.0 167 96.7 0 0.2 4 2.1 2 1.1 172 100.0 016 Asikkala 0 0.0 522 93.3 1 0.2 37 6.5 0 0.0 559 100.0 018 Askola 0 0.0 212 94.8 3 1.4 9 3.8 0 0.0 224 100.0 061 Forssa 0 0.0 278 100.0 0 0.0 0 0.0 0 0.0 278 100.0 081 Hartola 0 0.0 430 98.9 0 0.0 5 1.1 0 0.0 434 100.0 082 Hattula 0 0.0 521 92.9 14 2.4 26 4.7 0 0.0 561 100.0 086 Hausjärvi 0 0.0 449 94.8 1 0.2 24 5.1 0 0.0 474 100.0 098 Hollola 0 0.0 227 89.1 1 0.5 27 10.4 0 0.0 255 100.0 103 Humppila 0 0.0 125 100.0 0 0.0 0 0.0 0 0.0 125 100.0 106 Hyvinkää 0 0.0 427 97.2 0 0.0 12 2.8 0 0.0 440 100.0 109 Hämeenlinna 0 0.0 1 459 92.4 42 2.7 77 4.9 0 0.0 1 578 100.0 111 Heinola 0 0.0 605 99.6 0 0.0 2 0.4 0 0.0 607 100.0 165 Janakkala 0 0.0 569 93.7 7 1.1 32 5.3 0 0.0 607 100.0 169 Jokioinen 0 0.0 54 100.0 0 0.0 0 0.0 0 0.0 54 100.0 186 Järvenpää 0 0.0 39 99.5 0 0.3 0 0.3 0 0.0 39 100.0 223 Karjalohja 0 0.0 371 93.1 1 0.2 26 6.5 1 0.2 398 100.0 224 Karkkila 0 0.0 350 96.2 2 0.7 10 2.7 2 0.5 364 100.0 245 Kerava 0 0.0 57 99.7 0 0.0 0 0.3 0 0.0 57 100.0 283 Hämeenkoski 0 0.0 62 89.2 1 1.2 7 9.5 0 0.0 70 100.0 316 Kärkölä 0 0.0 278 94.5 1 0.3 15 5.2 0 0.0 294 100.0 398 Lahti 0 0.0 138 91.3 0 0.0 13 8.7 0 0.0 151 100.0 433 Loppi 0 0.0 925 96.4 7 0.7 28 2.9 0 0.0 960 100.0 444 Lohja 0 0.0 815 93.1 1 0.1 59 6.8 0 0.0 876 100.0 504 Myrskylä-Mörskom 0 0.0 245 95.1 0 0.2 12 4.7 0 0.1 258 100.0 505 Mäntsälä 0 0.0 427 95.5 1 0.2 19 4.3 0 0.0 447 100.0 532 Nastola 0 0.0 422 87.4 0 0.0 61 12.6 0 0.0 483 100.0 540 Nummi-Pusula 0 0.0 1 060 94.2 4 0.4 61 5.4 0 0.0 1 125 100.0 543 Nurmijärvi 0 0.0 553 97.2 0 0.0 16 2.8 0 0.0 569 100.0 560 Orimattila 0 0.0 404 93.4 2 0.4 27 6.3 0 0.0 432 100.0 576 Padasjoki 0 0.0 476 97.0 2 0.4 13 2.6 0 0.0 491 100.0 611 Pornainen 0 0.0 226 98.3 0 0.1 4 1.6 0 0.0 229 100.0 616 Pukkila 0 0.0 90 94.8 0 0.3 5 4.9 0 0.0 95 100.0 694 Riihimäki 0 0.0 78 94.2 0 0.2 5 5.6 0 0.0 83 100.0 781 Sysmä 0 0.0 339 100.0 0 0.0 0 0.1 0 0.0 339 100.0 834 Tammela 0 0.0 832 86.2 44 4.6 89 9.3 0 0.0 966 100.0 858 Tuusula 0 0.0 267 95.9 0 0.2 11 4.0 0 0.0 278 100.0 927 Vihti 0 0.0 1 176 97.5 2 0.2 28 2.4 0 0.0 1 207 100.0 981 Ypäjä 0 0.0 82 100.0 0 0.0 0 0.0 0 0.0 82 100.0 Total 0 0.0 15 754 94.6 139 0.8 763 4.6 4 0.0 16 660 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 97 Table 3b. Continued Forestry centre Treeless Pine Spruce Birch Other broadleaved tree species Total Municipality ha % ha % ha % ha % ha % ha % Kaakkois-Suomi 075 Hamina 38 3.5 1 053 96.4 0 0.0 1 0.1 0 0.0 1 092 100.0 142 Iitti 2 0.3 489 99.5 0 0.0 1 0.2 0 0.0 491 100.0 153 Imatra 0 0.1 69 98.9 0 0.0 1 1.0 0 0.0 70 100.0 285 Kotka 6 1.4 400 97.8 0 0.0 3 0.8 0 0.0 409 100.0 286 Kouvola 3 0.1 2 477 99.1 0 0.0 19 0.8 0 0.0 2 499 100.0 405 Lappeenranta 47 3.9 1 142 95.0 0 0.0 13 1.1 0 0.0 1 202 100.0 416 Lemi 7 3.5 179 89.0 0 0.0 15 7.6 0 0.0 201 100.0 441 Luumäki 62 5.2 1 122 93.8 0 0.0 12 1.0 0 0.0 1 196 100.0 489 Miehikkälä 28 3.4 796 96.2 0 0.0 3 0.4 0 0.0 828 100.0 580 Parikkala 14 4.7 277 91.9 0 0.0 10 3.4 0 0.0 302 100.0 624 Pyhtää-Pyttis 0 0.0 828 98.8 1 0.1 9 1.1 0 0.0 839 100.0 689 Rautjärvi 7 5.3 128 92.8 0 0.0 1 0.6 2 1.2 138 100.0 700 Ruokolahti 11 1.1 921 91.7 0 0.0 72 7.2 0 0.0 1 004 100.0 739 Savitaipale 14 2.3 552 91.6 0 0.0 37 6.2 0 0.0 603 100.0 775 Suomenniemi 0 0.0 313 98.8 0 0.0 4 1.2 0 0.0 317 100.0 831 Taipalsaari 0 0.1 393 97.9 0 0.0 8 2.1 0 0.0 401 100.0 935 Virolahti 19 1.8 1 029 97.4 0 0.0 8 0.8 0 0.0 1 056 100.0 978 Ylämaa 31 5.9 491 94.0 0 0.0 0 0.1 0 0.0 522 100.0 Total 288 2.2 12 660 96.1 1 0.0 217 1.7 2 0.0 13 169 100.0 Pirkanmaa 020 Akaa 0 0.0 35 88.0 0 0.0 5 12.0 0 0.0 40 100.0 108 Hämeenkyrö 0 0.0 509 82.0 3 0.6 94 15.2 14 2.3 621 100.0 143 Ikaalinen 0 0.0 1 565 89.7 3 0.2 173 9.9 4 0.2 1 746 100.0 177 Juupajoki 0 0.0 336 87.4 4 1.0 43 11.3 1 0.3 385 100.0 211 Kangasala 0 0.0 225 65.4 10 2.9 109 31.8 0 0.0 344 100.0 250 Kihniö 0 0.0 954 98.6 0 0.0 14 1.4 0 0.0 968 100.0 289 Kuhmalahti 0 0.0 174 92.8 0 0.1 13 7.0 0 0.0 188 100.0 310 Kylmäkoski 0 0.0 170 100.0 0 0.0 0 0.0 0 0.0 170 100.0 418 Lempäälä 0 0.0 136 85.4 0 0.0 23 14.6 0 0.0 159 100.0 508 Mänttä-Vilppula 0 0.0 532 80.6 4 0.6 122 18.5 1 0.2 659 100.0 536 Nokia 0 0.0 188 88.1 3 1.2 23 10.7 0 0.0 213 100.0 562 Orivesi 0 0.0 740 81.5 9 1.0 157 17.3 2 0.2 907 100.0 581 Parkano 0 0.0 3 044 97.5 0 0.0 78 2.5 0 0.0 3 122 100.0 604 Pirkkala 0 0.0 31 78.2 0 0.0 9 21.8 0 0.0 39 100.0 619 Punkalaidun 0 0.0 459 97.2 3 0.5 11 2.3 0 0.0 473 100.0 635 Pälkäne 0 0.0 345 94.6 1 0.4 18 5.0 0 0.0 364 100.0 702 Ruovesi 0 0.0 1 024 87.8 6 0.6 136 11.7 0 0.0 1 167 100.0 790 Sastamala 0 0.0 1 892 91.3 0 0.0 175 8.5 5 0.2 2 072 100.0 837 Tampere 0 0.0 416 81.0 4 0.8 86 16.8 7 1.4 514 100.0 887 Urjala 0 0.0 605 98.8 0 0.0 7 1.2 0 0.0 612 100.0 908 Valkeakoski 0 0.0 138 89.1 0 0.2 17 10.8 0 0.0 155 100.0 922 Vesilahti 0 0.0 192 95.2 2 1.0 8 3.8 0 0.0 202 100.0 936 Virrat 0 0.0 2 184 95.9 0 0.0 94 4.1 0 0.0 2 277 100.0 980 Ylöjärvi 0 0.0 1 960 87.6 9 0.4 269 12.0 0 0.0 2 238 100.0 Total 1 0.0 17 853 90.9 62 0.3 1 684 8.6 35 0.2 19 634 100.0 Etelä-Savo 046 Enonkoski 6 3.1 196 95.9 0 0.0 2 1.0 0 0.0 204 100.0 090 Heinävesi 4 0.7 457 88.0 0 0.0 59 11.3 0 0.0 519 100.0 097 Hirvensalmi 0 0.0 523 99.1 0 0.0 5 0.9 0 0.0 528 100.0 171 Joroinen 0 0.0 501 92.9 0 0.0 38 7.1 0 0.0 539 100.0 178 Juva 0 0.0 1 608 97.2 0 0.0 47 2.8 0 0.0 1 655 100.0 213 Kangasniemi 0 0.0 760 95.5 0 0.0 36 4.5 0 0.0 796 100.0 246 Kerimäki 9 1.2 665 96.7 0 0.0 14 2.1 0 0.0 688 100.0 491 Mikkeli 0 0.0 2 471 97.3 0 0.0 68 2.7 0 0.0 2 539 100.0 507 Mäntyharju 0 0.0 1 085 98.6 0 0.0 16 1.4 0 0.0 1 100 100.0 588 Pertunmaa 0 0.0 286 98.2 1 0.2 5 1.6 0 0.0 291 100.0 593 Pieksämäki 0 0.0 1 659 95.2 0 0.0 84 4.8 0 0.0 1 742 100.0 618 Punkaharju 5 1.6 313 93.3 4 1.1 14 4.0 0 0.0 336 100.0 623 Puumala 0 0.0 788 86.7 0 0.0 121 13.3 0 0.0 909 100.0 681 Rantasalmi 17 4.0 394 94.3 0 0.0 7 1.7 0 0.0 417 100.0 696 Ristiina 0 0.0 427 94.5 17 3.8 8 1.7 0 0.0 452 100.0 740 Savonlinna 11 1.2 890 95.4 1 0.1 31 3.4 0 0.0 934 100.0 768 Sulkava 9 1.6 503 91.4 0 0.0 38 7.0 0 0.0 550 100.0 Total 61 0.4 13 525 95.3 23 0.2 591 4.2 0 0.0 14 200 100.0 Etelä-Pohjanmaa 005 Alajärvi 0 0.0 4 052 97.8 0 0.0 90 2.2 0 0.0 4 142 100.0 010 Alavus 0 0.0 2 815 95.9 0 0.0 119 4.1 0 0.0 2 934 100.0 052 Evijärvi 11 0.5 2 202 95.6 0 0.0 89 3.9 0 0.0 2 303 100.0 074 Halsua 0 0.0 3 712 98.3 0 0.0 65 1.7 0 0.0 3 777 100.0 095 Himanka 1 0.1 1 179 95.3 0 0.0 57 4.6 0 0.0 1 237 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 98 Table 3b. Continued Forestry centre Treeless Pine Spruce Birch Other broadleaved tree species Total Municipality ha % ha % ha % ha % ha % ha % 145 Ilmajoki 0 0.0 1 047 97.2 0 0.0 30 2.8 0 0.0 1 078 100.0 151 Isojoki 0 0.0 2 718 96.6 0 0.0 97 3.4 0 0.0 2 814 100.0 152 Isokyrö 2 0.2 1 266 99.7 0 0.0 0 0.1 0 0.0 1 268 100.0 164 Jalasjärvi 0 0.0 2 477 97.4 0 0.0 65 2.6 0 0.0 2 543 100.0 217 Kannus 0 0.0 2 741 98.0 0 0.0 55 2.0 0 0.0 2 796 100.0 218 Karijoki 1 0.1 618 99.4 0 0.0 3 0.5 0 0.0 622 100.0 232 Kauhajoki 0 0.0 5 962 98.2 0 0.0 111 1.8 0 0.0 6 072 100.0 233 Kauhava 47 0.7 6 190 95.4 0 0.0 252 3.9 0 0.0 6 489 100.0 236 Kaustinen 2 0.1 2 167 97.1 0 0.0 63 2.8 0 0.0 2 233 100.0 272 Kokkola-Karleby 46 0.6 7 739 96.6 0 0.0 231 2.9 0 0.0 8 016 100.0 300 Kuortane 0 0.0 1 400 98.5 0 0.0 21 1.5 0 0.0 1 421 100.0 301 Kurikka 3 0.1 2 737 98.3 0 0.0 44 1.6 0 0.0 2 784 100.0 399 Laihia 1 0.1 1 609 99.2 0 0.0 12 0.8 0 0.0 1 623 100.0 403 Lappajärvi 9 0.3 2 462 96.0 0 0.0 94 3.7 0 0.0 2 564 100.0 408 Lapua 15 0.5 3 262 95.4 0 0.0 143 4.2 0 0.0 3 420 100.0 421 Lestijärvi 5 0.1 3 529 97.0 0 0.0 102 2.8 4 0.1 3 640 100.0 584 Perho 1 0.0 6 280 97.6 0 0.0 141 2.2 10 0.2 6 431 100.0 743 Seinäjoki 0 0.0 4 932 97.8 0 0.0 113 2.2 0 0.0 5 045 100.0 759 Soini 0 0.0 2 413 98.2 0 0.0 44 1.8 0 0.0 2 457 100.0 846 Teuva 11 0.5 2 243 98.3 0 0.0 28 1.2 0 0.0 2 281 100.0 849 Toholampi 0 0.0 3 811 98.5 0 0.0 59 1.5 0 0.0 3 870 100.0 863 Töysä 0 0.0 835 97.1 0 0.0 25 2.9 0 0.0 860 100.0 924 Veteli 0 0.0 3 222 96.9 0 0.0 105 3.1 0 0.0 3 327 100.0 934 Vimpeli 0 0.0 1 622 96.1 0 0.0 66 3.9 0 0.0 1 687 100.0 942 Vähäkyrö 1 0.7 131 94.9 6 4.3 0 0.0 0 0.0 138 100.0 989 Ähtäri 0 0.0 2 313 96.8 0 0.0 77 3.2 0 0.0 2 390 100.0 Total 158 0.2 89 685 97.2 6 0.0 2 400 2.6 15 0.0 92 263 100.0 Keski-Suomi 077 Hankasalmi 0 0.0 247 100.0 0 0.0 0 0.0 0 0.0 247 100.0 172 Joutsa 0 0.0 583 95.6 0 0.0 27 4.4 0 0.0 610 100.0 179 Jyväskylä 0 0.0 479 96.3 0 0.0 19 3.7 0 0.0 498 100.0 182 Jämsä 0 0.0 710 98.3 0 0.0 12 1.7 0 0.0 723 100.0 216 Kannonkoski 0 0.0 602 93.3 0 0.0 43 6.7 0 0.0 645 100.0 226 Karstula 0 0.0 2 838 97.0 0 0.0 87 3.0 1 0.0 2 926 100.0 249 Keuruu 1 0.0 2 452 91.6 13 0.5 210 7.9 0 0.0 2 676 100.0 256 Kinnula 2 0.1 2 044 94.2 0 0.0 115 5.3 8 0.4 2 170 100.0 265 Kivijärvi 0 0.0 1 335 95.4 0 0.0 62 4.4 2 0.1 1 399 100.0 275 Konnevesi 0 0.0 221 99.9 0 0.0 0 0.1 0 0.0 221 100.0 291 Kuhmoinen 0 0.0 292 84.9 0 0.0 52 15.1 0 0.0 344 100.0 312 Kyyjärvi 0 0.0 2 216 97.8 0 0.0 50 2.2 0 0.0 2 266 100.0 410 Laukaa 0 0.0 239 99.9 0 0.0 0 0.1 0 0.0 240 100.0 435 Luhanka 0 0.0 108 99.7 0 0.0 0 0.3 0 0.0 109 100.0 495 Multia 1 0.1 1 935 96.2 0 0.0 75 3.7 1 0.0 2 011 100.0 500 Muurame 0 0.0 38 90.7 0 0.0 4 9.3 0 0.0 42 100.0 592 Petäjävesi 0 0.0 317 100.0 0 0.0 0 0.0 0 0.0 317 100.0 601 Pihtipudas 0 0.0 2 449 97.8 0 0.0 55 2.2 0 0.0 2 504 100.0 729 Saarijärvi 0 0.0 2 006 93.5 0 0.0 138 6.5 1 0.1 2 146 100.0 850 Toivakka 0 0.0 269 99.5 0 0.0 1 0.5 0 0.0 270 100.0 892 Uurainen 0 0.0 406 100.0 0 0.0 0 0.0 0 0.0 406 100.0 931 Viitasaari 0 0.0 1 355 99.4 0 0.0 8 0.6 1 0.1 1 363 100.0 992 Äänekoski 0 0.0 514 100.0 0 0.0 0 0.0 0 0.0 515 100.0 Total 5 0.0 23 656 96.0 13 0.1 960 3.9 13 0.1 24 647 100.0 Pohjois-Savo 140 Iisalmi 0 0.0 411 95.9 0 0.0 18 4.2 0 0.0 429 100.0 174 Juankoski 0 0.1 295 95.1 0 0.0 14 4.5 1 0.3 310 100.0 204 Kaavi 2 0.3 766 97.9 0 0.0 12 1.5 3 0.3 782 100.0 227 Karttula 0 0.0 366 92.6 0 0.0 29 7.4 0 0.0 395 100.0 239 Keitele 0 0.0 741 100.0 0 0.0 0 0.0 0 0.0 741 100.0 263 Kiuruvesi 5 0.1 3 475 96.6 0 0.0 116 3.2 0 0.0 3 597 100.0 297 Kuopio 1 0.5 214 93.0 0 0.0 15 6.5 0 0.0 230 100.0 402 Lapinlahti 0 0.0 446 95.3 0 0.0 22 4.7 0 0.0 469 100.0 420 Leppävirta 0 0.0 351 93.0 0 0.0 26 7.0 0 0.0 377 100.0 476 Maaninka 0 0.0 253 95.8 0 0.0 11 4.2 0 0.0 264 100.0 534 Nilsiä 1 0.2 529 91.1 0 0.0 51 8.7 1 0.1 581 100.0 595 Pielavesi 0 0.0 1 555 96.5 0 0.0 57 3.5 0 0.0 1 612 100.0 686 Rautalampi 0 0.0 360 97.8 0 0.0 8 2.2 0 0.0 368 100.0 687 Rautavaara 6 0.1 4 928 98.8 0 0.0 47 0.9 8 0.2 4 989 100.0 749 Siilinjärvi 0 0.0 141 95.6 0 0.0 7 4.4 0 0.0 148 100.0 762 Sonkajärvi 8 0.2 5 330 98.8 0 0.0 50 0.9 6 0.1 5 394 100.0 778 Suonenjoki 0 0.0 550 93.5 0 0.0 38 6.5 0 0.0 589 100.0 844 Tervo 0 0.0 217 95.2 0 0.0 11 4.8 0 0.0 228 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 99 Table 3b. Continued Forestry centre Treeless Pine Spruce Birch Other broadleaved tree species Total Municipality ha % ha % ha % ha % ha % ha % 857 Tuusniemi 0 0.0 209 91.7 0 0.0 19 8.3 0 0.0 228 100.0 915 Varkaus 0 0.0 102 93.3 0 0.0 7 6.7 0 0.0 110 100.0 916 Varpaisjärvi 2 0.3 574 93.5 0 0.0 38 6.1 0 0.1 614 100.0 921 Vesanto 0 0.0 342 99.9 0 0.0 0 0.1 0 0.0 343 100.0 925 Vieremä 5 0.2 2 215 98.1 0 0.0 37 1.6 1 0.0 2 257 100.0 Total 30 0.1 24 373 97.3 0 0.0 632 2.5 20 0.1 25 055 100.0 Pohjois-Karjala 146 Ilomantsi 0 0.0 14 450 97.0 0 0.0 373 2.5 68 0.5 14 891 100.0 167 Joensuu 0 0.0 2 955 93.5 0 0.0 123 3.9 83 2.6 3 161 100.0 176 Juuka 0 0.0 2 970 94.8 0 0.0 103 3.3 61 2.0 3 134 100.0 248 Kesälahti 0 0.0 298 87.8 0 0.0 38 11.2 3 1.0 340 100.0 260 Kitee 0 0.0 588 85.4 0 0.0 76 11.1 24 3.5 689 100.0 276 Kontiolahti 0 0.0 885 90.3 0 0.0 70 7.1 25 2.5 979 100.0 309 Outokumpu 0 0.0 358 81.3 0 0.0 65 14.7 18 4.0 440 100.0 422 Lieksa 0 0.0 11 595 96.0 0 0.0 409 3.4 74 0.6 12 078 100.0 426 Liperi 0 0.0 307 75.0 0 0.0 83 20.4 19 4.6 410 100.0 541 Nurmes 0 0.0 3 731 97.2 0 0.0 61 1.6 45 1.2 3 837 100.0 607 Polvijärvi 0 0.0 990 87.6 0 0.0 107 9.5 33 2.9 1 131 100.0 707 Rääkkylä 0 0.0 290 82.3 0 0.0 62 17.4 1 0.3 353 100.0 848 Tohmajärvi 0 0.0 1 211 91.6 0 0.0 60 4.5 51 3.9 1 322 100.0 911 Valtimo 0 0.0 1 473 96.2 0 0.0 42 2.8 16 1.0 1 531 100.0 Total 0 0.0 42 101 95.0 0 0.0 1 673 3.8 522 1.2 44 297 100.0 Kainuu 105 Hyrynsalmi 0 0.0 12 209 92.4 385 2.9 622 4.7 0 0.0 13 216 100.0 205 Kajaani 0 0.0 11 977 98.5 7 0.1 142 1.2 33 0.3 12 160 100.0 290 Kuhmo 0 0.0 32 914 96.8 166 0.5 882 2.6 58 0.2 34 020 100.0 578 Paltamo 0 0.0 3 838 95.5 46 1.2 128 3.2 4 0.1 4 017 100.0 620 Puolanka 0 0.0 22 893 90.2 1 182 4.7 1 253 4.9 65 0.3 25 392 100.0 697 Ristijärvi 0 0.0 4 993 92.3 139 2.6 273 5.0 7 0.1 5 412 100.0 765 Sotkamo 1 0.0 10 854 97.0 21 0.2 257 2.3 54 0.5 11 186 100.0 777 Suomussalmi 0 0.0 59 199 93.3 2 083 3.3 2 194 3.5 1 0.0 63 477 100.0 785 Vaala 0 0.0 12 406 95.9 23 0.2 482 3.7 30 0.2 12 941 100.0 Total 1 0.0 171 282 94.2 4 053 2.2 6 232 3.4 252 0.1 181 821 100.0 Pohjois-Pohjanmaa 009 Alavieska 0 0.0 1 207 95.5 3 0.2 54 4.3 0 0.0 1 263 100.0 069 Haapajärvi 0 0.0 2 250 92.7 2 0.1 175 7.2 0 0.0 2 427 100.0 071 Haapavesi 0 0.0 5 750 95.6 0 0.0 264 4.4 0 0.0 6 014 100.0 072 Hailuoto 0 0.0 1 115 88.9 0 0.0 136 10.8 3 0.3 1 254 100.0 084 Haukipudas 0 0.0 3 120 93.4 10 0.3 203 6.1 6 0.2 3 339 100.0 139 Ii 0 0.0 13 881 90.8 292 1.9 1 060 6.9 59 0.4 15 293 100.0 208 Kalajoki 0 0.0 4 264 93.5 0 0.0 295 6.5 0 0.0 4 559 100.0 244 Kempele 0 0.0 485 93.1 2 0.4 32 6.1 2 0.4 521 100.0 255 Kiiminki 0 0.0 2 653 95.9 2 0.1 112 4.0 0 0.0 2 766 100.0 305 Kuusamo 0 0.0 64 790 88.1 6 402 8.7 2 352 3.2 43 0.1 73 587 100.0 317 Kärsämäki 0 0.0 3 925 96.7 0 0.0 134 3.3 0 0.0 4 059 100.0 425 Liminka 0 0.0 5 642 96.1 0 0.0 213 3.6 16 0.3 5 872 100.0 436 Lumijoki 0 0.0 1 003 91.7 5 0.4 82 7.5 4 0.4 1 094 100.0 483 Merijärvi 0 0.0 1 109 93.8 3 0.3 70 5.9 0 0.0 1 182 100.0 494 Muhos 0 0.0 7 091 96.0 9 0.1 263 3.6 24 0.3 7 387 100.0 535 Nivala 0 0.0 1 031 92.1 0 0.0 89 7.9 0 0.0 1 120 100.0 563 Oulainen 0 0.0 3 019 94.1 1 0.0 187 5.8 0 0.0 3 207 100.0 564 Oulu 0 0.0 12 057 95.0 27 0.2 612 4.8 2 0.0 12 697 100.0 567 Oulunsalo 0 0.0 229 84.3 0 0.1 37 13.5 6 2.1 271 100.0 615 Pudasjärvi 0 0.0 60 708 87.8 2 929 4.2 5 405 7.8 133 0.2 69 174 100.0 625 Pyhäjoki 0 0.0 3 571 98.4 0 0.0 57 1.6 0 0.0 3 628 100.0 626 Pyhäsalmi 0 0.0 5 356 96.8 0 0.0 176 3.2 0 0.0 5 532 100.0 630 Pyhäntä 0 0.0 6 729 96.5 11 0.2 218 3.1 13 0.2 6 971 100.0 678 Raahe 0 0.0 2 767 92.8 0 0.0 184 6.2 32 1.1 2 983 100.0 691 Reisjärvi 0 0.0 2 419 95.8 10 0.4 97 3.9 0 0.0 2 526 100.0 746 Sievi 0 0.0 6 434 95.4 0 0.0 310 4.6 0 0.0 6 745 100.0 748 Siikajoki 0 0.0 6 754 93.2 1 0.0 456 6.3 36 0.5 7 246 100.0 791 Siikalatva 0 0.0 15 354 95.4 6 0.0 663 4.1 69 0.4 16 091 100.0 832 Taivalkoski 0 0.0 26 679 87.5 2 221 7.3 1 414 4.6 172 0.6 30 486 100.0 859 Tyrnävä 0 0.0 4 024 96.3 1 0.0 140 3.3 15 0.4 4 179 100.0 889 Utajärvi 0 0.0 17 416 97.0 59 0.3 464 2.6 16 0.1 17 955 100.0 926 Vihanti 0 0.0 3 220 93.0 0 0.0 233 6.7 9 0.3 3 462 100.0 972 Yli-Ii 0 0.0 7 103 93.1 122 1.6 405 5.3 3 0.0 7 633 100.0 977 Ylivieska 0 0.0 2 405 94.1 0 0.0 150 5.9 0 0.0 2 555 100.0 Total 0 0.0 305 558 91.2 12 118 3.6 16 742 5.0 662 0.2 335 081 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 100 Table 3b. Continued Forestry centre Treeless Pine Spruce Birch Other broadleaved tree species Total Municipality ha % ha % ha % ha % ha % ha % Lapland 047 Enontekiö 0 0.0 31 890 18.5 6 287 3.6 134 480 77.9 0 0.0 172 657 100.0 148 Inari 0 0.0 194 979 47.5 15 414 3.8 200 522 48.8 0 0.0 410 915 100.0 240 Kemi 0 0.0 113 28.3 24 5.9 54 13.5 209 52.3 400 100.0 241 Keminmaa 0 0.0 3 198 60.4 779 14.7 999 18.9 322 6.1 5 298 100.0 261 Kittilä 0 0.0 137 786 77.2 21 436 12.0 19 207 10.8 0 0.0 178 428 100.0 273 Kolari 0 0.0 38 420 78.7 7 140 14.6 3 232 6.6 0 0.0 48 792 100.0 320 Kemijärvi 0 0.0 43 772 86.1 4 889 9.6 2 171 4.3 0 0.0 50 832 100.0 498 Muonio 0 0.0 24 040 72.1 3 809 11.4 5 500 16.5 0 0.0 33 349 100.0 583 Pelkosenniemi 0 0.0 24 524 83.1 3 489 11.8 1 518 5.1 0 0.0 29 530 100.0 614 Posio 0 0.0 39 946 86.4 3 708 8.0 2 512 5.4 73 0.2 46 240 100.0 683 Ranua 0 0.0 49 815 89.5 2 736 4.9 2 989 5.4 114 0.2 55 653 100.0 698 Rovaniemi 0 0.0 99 406 84.9 11 576 9.9 5 861 5.0 290 0.3 117 134 100.0 732 Salla 0 0.0 70 440 64.4 31 972 29.2 6 989 6.4 0 0.0 109 401 100.0 742 Savukoski 0 0.0 80 807 77.3 17 452 16.7 6 274 6.0 0 0.0 104 533 100.0 751 Simo 0 0.0 16 232 84.1 901 4.7 1 925 10.0 249 1.3 19 307 100.0 758 Sodankylä 0 0.0 155 519 79.0 27 427 13.9 13 975 7.1 0 0.0 196 921 100.0 845 Tervola 0 0.0 14 231 72.3 2 819 14.3 2 563 13.0 81 0.4 19 694 100.0 851 Tornio 0 0.0 7 552 65.7 1 398 12.2 1 767 15.4 781 6.8 11 499 100.0 854 Pello 0 0.0 17 631 80.1 2 000 9.1 2 390 10.9 0 0.0 22 021 100.0 890 Utsjoki 0 0.0 1 870 1.8 436 0.4 103 022 97.8 0 0.0 105 327 100.0 976 Ylitornio 0 0.0 27 096 83.0 3 252 10.0 2 270 7.0 13 0.0 32 632 100.0 Total 0 0.0 1 079 267 61.0 168 943 9.5 520 220 29.4 2 133 0.1 1 770 563 100.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 101 Ta bl e 4a . A ge c la ss d ist rib u tio n on fo re st la nd b y fo re st ry c en tre s. Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % Ål an d 03 5 B rä nd ö 22 0. 8 41 6 15 .1 82 1 29 .8 42 2 15 .3 42 7 15 .5 31 7 11 .5 14 0 5. 1 12 8 4. 7 57 2. 1 2 75 1 10 0. 0 04 3 E ck er ö 59 1. 0 85 8 14 .9 1 70 7 29 .7 77 3 13 .4 61 1 10 .6 75 9 13 .2 32 2 5. 6 42 9 7. 5 23 3 4. 1 5 75 1 10 0. 0 06 0 F in st rö m 10 8 1. 6 1 01 8 15 .5 1 94 0 29 .5 92 4 14 .1 70 3 10 .7 85 9 13 .1 35 1 5. 3 44 4 6. 8 22 8 3. 5 6 57 4 10 0. 0 06 2 F ög lö 33 0. 5 74 9 12 .2 1 59 1 26 .0 84 0 13 .7 67 4 11 .0 82 2 13 .4 46 1 7. 5 64 9 10 .6 31 1 5. 1 6 12 9 10 0. 0 06 5 G et a 19 0. 6 38 8 13 .1 75 8 25 .6 37 4 12 .6 30 4 10 .3 41 8 14 .1 23 7 8. 0 30 2 10 .2 16 2 5. 5 2 96 2 10 0. 0 07 6 H am m ar la nd 81 1. 1 1 06 1 14 .7 2 20 1 30 .6 1 02 7 14 .3 77 3 10 .7 94 6 13 .1 39 0 5. 4 46 2 6. 4 26 5 3. 7 7 20 6 10 0. 0 17 0 J om al a 14 2 1. 9 1 33 3 17 .8 2 20 3 29 .4 1 00 6 13 .4 76 5 10 .2 95 1 12 .7 35 1 4. 7 48 5 6. 5 27 0 3. 6 7 50 7 10 0. 0 29 5 K um lin ge 11 0. 5 19 1 8. 6 59 3 26 .7 32 6 14 .7 25 7 11 .6 24 6 11 .1 28 7 12 .9 22 3 10 .0 91 4. 1 2 22 4 10 0. 0 31 8 K ök ar 0 0. 0 0 0. 0 0 0. 0 67 22 .0 15 4 50 .7 78 25 .7 2 0. 7 3 1. 0 1 0. 3 30 4 10 0. 0 41 7 L em la nd 77 1. 2 1 03 1 15 .7 2 03 6 31 .0 95 7 14 .6 72 9 11 .1 80 4 12 .2 33 4 5. 1 40 7 6. 2 19 9 3. 0 6 57 3 10 0. 0 43 8 L um pa rla nd 13 0. 7 21 2 11 .8 48 5 27 .1 25 5 14 .3 20 0 11 .2 25 0 14 .0 11 7 6. 5 17 0 9. 5 86 4. 8 1 78 7 10 0. 0 47 8 M ar ie ha m n- M aa ria nh am in a 14 3. 5 90 22 .7 10 8 27 .2 53 13 .2 40 10 .1 45 11 .2 17 4. 2 21 5. 4 10 2. 6 39 8 10 0. 0 73 6 S al tv ik 42 0. 7 67 5 11 .2 1 55 6 25 .9 77 2 12 .8 63 5 10 .6 89 6 14 .9 46 3 7. 7 62 3 10 .4 35 0 5. 8 6 01 3 10 0. 0 76 6 S ot tu ng a 2 0. 3 91 15 .1 15 2 25 .3 83 13 .8 76 12 .5 71 11 .8 50 8. 4 55 9. 1 23 3. 8 60 3 10 0. 0 77 1 S un d 34 0. 7 64 7 12 .8 1 44 7 28 .5 69 6 13 .7 52 2 10 .3 70 7 14 .0 31 9 6. 3 46 2 9. 1 23 4 4. 6 5 06 9 10 0. 0 94 1 V år dö 12 0. 3 35 8 10 .3 85 7 24 .7 44 2 12 .8 35 6 10 .3 49 1 14 .2 31 1 9. 0 42 3 12 .2 21 8 6. 3 3 46 8 10 0. 0 To ta l 66 8 1. 0 9 11 6 14 .0 18 4 55 28 .3 9 01 7 13 .8 7 22 5 11 .1 8 66 0 13 .3 4 15 3 6. 4 5 28 6 8. 1 2 73 8 4. 2 65 3 20 10 0. 0 R an ni kk o/ Et el är an ni kk o 04 9 E sp oo -E sb o 14 1 0. 9 2 46 0 15 .7 3 29 7 21 .0 3 16 2 20 .1 2 53 8 16 .2 1 63 0 10 .4 1 15 5 7. 4 69 8 4. 4 63 5 4. 0 15 7 16 10 0. 0 07 8 H an ko -H an gö 50 0. 8 55 1 8. 5 1 04 3 16 .1 1 50 3 23 .2 1 36 8 21 .1 89 7 13 .9 63 5 9. 8 29 4 4. 5 13 7 2. 1 6 47 9 10 0. 0 09 1 H el si nk i-H el si ng fo rs 15 9 2. 2 1 84 9 25 .5 1 13 1 15 .6 1 12 7 15 .6 1 06 9 14 .8 91 9 12 .7 53 4 7. 4 22 1 3. 1 23 5 3. 3 7 24 4 10 0. 0 09 2 V an ta a- Va nd a 14 3 1. 4 2 51 9 25 .1 2 07 1 20 .7 1 68 7 16 .8 1 54 5 15 .4 1 03 3 10 .3 59 7 6. 0 23 2 2. 3 20 1 2. 0 10 0 27 10 0. 0 14 9 In gå -In ko o 28 5 1. 5 3 80 2 20 .2 3 70 3 19 .6 3 69 6 19 .6 2 35 6 12 .5 1 99 1 10 .6 1 40 1 7. 4 89 1 4. 7 74 5 4. 0 18 8 70 10 0. 0 23 5 K au ni ai ne n- G ra nk ul la 2 0. 8 32 16 .0 40 20 .1 39 19 .3 31 15 .6 23 11 .3 15 7. 5 9 4. 4 10 5. 0 20 0 10 0. 0 25 7 K irk ko nu m m i-K yr ks lä tt 31 8 1. 6 4 26 2 21 .2 3 87 1 19 .3 3 97 6 19 .8 2 58 3 12 .9 1 75 8 8. 8 1 44 3 7. 2 97 2 4. 8 88 3 4. 4 20 0 64 10 0. 0 32 2 K em iö ns aa ri 61 5 1. 8 4 62 0 13 .3 5 31 8 15 .3 6 93 7 20 .0 6 67 1 19 .2 4 69 1 13 .5 3 44 4 9. 9 1 65 2 4. 8 82 7 2. 4 34 7 75 10 0. 0 40 7 L ap in jä rv i-L ap pt rä sk 14 7 0. 8 2 61 9 14 .4 3 90 6 21 .4 4 41 1 24 .2 3 14 2 17 .2 1 79 7 9. 8 1 25 7 6. 9 65 3 3. 6 32 8 1. 8 18 2 60 10 0. 0 42 4 L ilje nd al 56 0. 9 96 7 16 .2 1 18 5 19 .8 1 41 9 23 .7 1 06 4 17 .8 57 2 9. 6 40 9 6. 8 20 4 3. 4 11 0 1. 8 5 98 5 10 0. 0 43 4 L ov iis a- Lo vi sa 28 1. 0 32 1 11 .5 53 8 19 .2 66 7 23 .9 50 5 18 .1 32 1 11 .5 20 9 7. 5 12 9 4. 6 79 2. 8 2 79 8 10 0. 0 44 4 L än si -T ur un m aa 89 3 2. 0 7 78 9 17 .4 7 49 5 16 .7 8 25 6 18 .4 7 11 8 15 .9 5 37 6 12 .0 4 76 6 10 .6 2 10 9 4. 7 1 08 4 2. 4 44 8 86 10 0. 0 58 5 P er nå -P er na ja 36 4 1. 4 4 14 3 15 .4 5 21 6 19 .3 6 25 9 23 .2 4 75 0 17 .6 2 64 4 9. 8 1 89 2 7. 0 1 07 7 4. 0 64 8 2. 4 26 9 93 10 0. 0 63 8 P or vo o- Bo rg å 44 5 1. 2 5 62 1 15 .0 7 63 1 20 .4 8 67 0 23 .2 6 06 3 16 .2 3 64 5 9. 8 2 61 8 7. 0 1 61 5 4. 3 1 06 2 2. 8 37 3 69 10 0. 0 70 1 R uo ts in py ht ää -S trö m fo rs 20 2 1. 1 3 06 8 16 .9 3 71 8 20 .5 4 04 8 22 .4 3 05 8 16 .9 1 90 6 10 .5 1 17 0 6. 5 60 6 3. 4 33 3 1. 8 18 1 10 10 0. 0 71 0 R aa se po ri 61 1 0. 9 8 44 8 12 .3 11 6 03 16 .9 15 0 43 21 .9 13 2 33 19 .2 9 18 1 13 .3 6 27 0 9. 1 2 91 5 4. 2 1 53 4 2. 2 68 8 37 10 0. 0 75 3 S ip oo -S ib bo 17 8 1. 0 2 76 2 14 .9 3 67 0 19 .8 3 98 4 21 .4 3 23 8 17 .4 2 05 4 11 .1 1 36 6 7. 4 80 5 4. 3 53 1 2. 9 18 5 88 10 0. 0 75 5 S iu nt io -S ju nd eå 24 3 1. 9 3 42 0 27 .3 2 52 7 20 .2 2 31 3 18 .5 1 48 4 11 .9 97 1 7. 8 74 8 6. 0 47 9 3. 8 34 1 2. 7 12 5 25 10 0. 0 To ta l 4 87 8 1. 3 59 2 53 16 .1 67 9 63 18 .5 77 1 96 21 .0 61 8 14 16 .8 41 4 09 11 .3 29 9 29 8. 1 15 5 59 4. 2 9 72 3 2. 6 36 7 72 5 10 0. 0 R an ni kk o/ Po hj an m aa n ra nn ik ko 23 1 K as ki ne n- Ka sk ö 14 2. 1 25 7 37 .4 17 7 25 .8 70 10 .2 58 8. 5 59 8. 5 24 3. 5 18 2. 6 10 1. 5 68 7 10 0. 0 28 0 K or sn äs 34 9 2. 0 3 63 6 20 .4 4 73 5 26 .6 2 52 1 14 .2 2 22 0 12 .5 1 51 2 8. 5 1 58 5 8. 9 89 2 5. 0 34 7 2. 0 17 7 96 10 0. 0 28 7 K ris tin es ta d- Kr is tii na nk au pu nk i 84 0 1. 7 9 94 8 19 .9 11 8 97 23 .8 7 66 7 15 .4 6 43 9 12 .9 5 90 3 11 .8 3 68 6 7. 4 2 70 5 5. 4 81 8 1. 6 49 9 03 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 102 Ta bl e 4a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 28 8 K ro no by -K ru un up yy 75 4 1. 5 9 22 5 18 .5 11 1 21 22 .3 9 90 9 19 .9 7 14 5 14 .3 5 09 1 10 .2 3 19 9 6. 4 2 03 4 4. 1 1 41 9 2. 8 49 8 96 10 0. 0 44 0 L ar sm o- Lu ot o 29 0 2. 7 2 46 1 22 .9 3 05 2 28 .5 1 81 1 16 .9 1 35 6 12 .6 79 1 7. 4 48 9 4. 6 29 5 2. 8 18 5 1. 7 10 7 30 10 0. 0 47 5 M al ax -M aa la ht i 59 9 1. 7 6 66 0 18 .9 8 99 6 25 .5 5 09 0 14 .5 4 89 8 13 .9 3 23 2 9. 2 3 23 7 9. 2 1 53 1 4. 4 98 0 2. 8 35 2 24 10 0. 0 49 9 K or sh ol m -M us ta sa ar i 1 21 3 2. 1 9 62 1 16 .7 14 0 14 24 .3 7 97 0 13 .8 8 52 8 14 .8 4 89 0 8. 5 6 15 6 10 .7 2 69 6 4. 7 2 70 4 4. 7 57 7 91 10 0. 0 54 5 N är pe s- N är pi ö 1 25 9 1. 9 13 3 85 20 .5 15 8 51 24 .3 8 34 9 12 .8 8 29 7 12 .7 7 30 9 11 .2 5 82 9 9. 0 3 87 1 5. 9 1 00 3 1. 5 65 1 53 10 0. 0 55 9 O ra va is -O ra va in en 30 3 2. 3 3 07 9 23 .5 3 47 3 26 .5 1 94 9 14 .9 1 28 6 9. 8 1 13 1 8. 6 88 5 6. 8 56 7 4. 3 41 5 3. 2 13 0 88 10 0. 0 59 8 J ak ob st ad -P ie ta rs aa ri 91 1. 6 1 38 7 24 .1 1 61 7 28 .1 1 05 2 18 .3 71 1 12 .4 35 5 6. 2 26 5 4. 6 13 0 2. 3 15 1 2. 6 5 76 0 10 0. 0 59 9 P ed er sö re -P ed er sö re n ku nt a 61 9 1. 1 10 0 84 18 .3 13 1 63 23 .9 11 0 77 20 .1 8 43 6 15 .3 4 95 8 9. 0 3 33 1 6. 0 1 83 8 3. 3 1 68 4 3. 1 55 1 92 10 0. 0 89 3 N yk ar le by -U us ik aa rle py y 71 9 1. 5 8 36 6 17 .2 11 7 26 24 .1 8 57 7 17 .7 5 77 8 11 .9 5 31 4 10 .9 3 72 7 7. 7 2 61 9 5. 4 1 78 0 3. 7 48 6 05 10 0. 0 90 5 V aa sa -V as a 20 4 1. 7 1 90 6 16 .0 2 78 4 23 .4 1 67 9 14 .1 1 87 3 15 .8 1 11 1 9. 3 1 23 4 10 .4 50 8 4. 3 59 4 5. 0 11 8 92 10 0. 0 94 5 V ör å- M ax m o Vö yr i-M ak sa m aa 96 5 2. 5 8 06 1 20 .7 10 3 80 26 .6 5 44 6 14 .0 4 24 7 10 .9 3 12 3 8. 0 3 62 2 9. 3 1 76 8 4. 5 1 39 6 3. 6 39 0 07 10 0. 0 To ta l 8 21 9 1. 8 88 0 75 19 .1 11 2 98 6 24 .5 73 1 66 15 .9 61 2 71 13 .3 44 7 81 9. 7 37 2 69 8. 1 21 4 71 4. 7 13 4 87 2. 9 46 0 72 5 10 0. 0 Lo un ai s- Su om i 01 9 A ur a 55 1. 4 77 8 20 .4 65 0 17 .1 71 6 18 .8 67 5 17 .7 43 5 11 .5 30 5 8. 0 14 0 3. 7 51 1. 3 3 80 5 10 0. 0 05 0 E ur a 24 0 0. 7 6 03 2 17 .4 5 34 4 15 .4 8 40 9 24 .2 7 25 6 20 .9 3 52 3 10 .1 2 23 0 6. 4 1 40 2 4. 0 32 2 0. 9 34 7 58 10 0. 0 05 1 E ur aj ok i 92 0. 4 4 48 7 20 .2 4 06 6 18 .3 5 23 4 23 .6 3 36 3 15 .2 2 31 6 10 .4 1 53 7 6. 9 1 02 2 4. 6 70 0. 3 22 1 88 10 0. 0 07 9 H ar ja va lta 53 0. 7 1 29 5 17 .7 1 53 8 21 .0 1 59 3 21 .8 1 23 0 16 .8 79 7 10 .9 46 1 6. 3 24 1 3. 3 11 4 1. 6 7 32 1 10 0. 0 09 9 H on ka jo ki 55 9 2. 7 3 74 5 17 .8 3 19 8 15 .2 4 69 0 22 .2 3 43 5 16 .3 2 16 7 10 .3 1 47 7 7. 0 1 11 3 5. 3 70 7 3. 4 21 0 90 10 0. 0 10 2 H ui tti ne n 59 9 2. 2 5 83 2 21 .6 6 03 6 22 .4 5 17 1 19 .2 4 43 9 16 .4 2 85 5 10 .6 1 22 4 4. 5 56 0 2. 1 28 0 1. 0 26 9 95 10 0. 0 18 1 J äm ijä rv i 32 4 2. 4 2 71 3 20 .4 2 29 3 17 .3 2 32 8 17 .5 2 11 5 15 .9 1 69 3 12 .7 83 5 6. 3 65 2 4. 9 34 2 2. 6 13 2 94 10 0. 0 20 2 K aa rin a 11 0 1. 7 1 41 6 21 .5 1 17 8 17 .9 1 23 9 18 .8 1 06 5 16 .1 70 3 10 .7 54 9 8. 3 22 9 3. 5 10 9 1. 7 6 59 9 10 0. 0 21 4 K an ka an pä ä 1 41 4 3. 0 8 65 4 18 .2 7 35 1 15 .4 9 40 6 19 .8 8 02 3 16 .9 6 28 2 13 .2 3 04 9 6. 4 2 10 8 4. 4 1 30 8 2. 8 47 5 94 10 0. 0 23 0 K ar vi a 68 1 2. 2 5 26 3 16 .6 5 09 4 16 .0 7 41 4 23 .4 5 25 4 16 .6 3 20 9 10 .1 2 22 3 7. 0 1 79 3 5. 7 81 8 2. 6 31 7 50 10 0. 0 25 4 K iik oi ne n 11 2 1. 2 2 06 0 22 .4 2 01 8 22 .0 1 77 9 19 .4 1 26 7 13 .8 86 3 9. 4 56 9 6. 2 39 9 4. 3 11 9 1. 3 9 18 5 10 0. 0 27 1 K ok em äk i 28 5 1. 0 6 10 8 20 .5 6 81 9 22 .9 5 59 3 18 .8 4 61 0 15 .5 2 63 5 8. 9 1 80 4 6. 1 1 27 0 4. 3 64 7 2. 2 29 7 72 10 0. 0 28 4 K os ki T. l. 18 7 2. 4 1 99 8 25 .9 1 46 4 19 .0 1 14 8 14 .9 1 17 0 15 .2 82 1 10 .6 51 0 6. 6 20 9 2. 7 20 9 2. 7 7 71 6 10 0. 0 30 4 K us ta vi 27 3 3. 3 1 90 7 23 .0 1 35 0 16 .3 1 29 6 15 .6 1 17 5 14 .2 90 4 10 .9 86 8 10 .5 31 7 3. 8 20 9 2. 5 8 29 7 10 0. 0 31 9 K öy liö 21 4 1. 5 2 12 2 14 .7 1 62 3 11 .3 3 34 9 23 .2 3 67 0 25 .5 1 72 6 12 .0 71 3 5. 0 88 7 6. 2 11 6 0. 8 14 4 20 10 0. 0 40 0 L ai til a 48 8 1. 6 5 69 5 18 .1 4 55 7 14 .5 6 79 9 21 .6 6 01 3 19 .1 4 03 6 12 .8 2 49 9 7. 9 1 17 0 3. 7 24 6 0. 8 31 5 02 10 0. 0 41 3 L av ia 39 0 1. 7 3 98 3 17 .4 4 83 3 21 .1 4 94 6 21 .6 3 59 1 15 .7 2 59 9 11 .3 1 27 5 5. 6 87 4 3. 8 43 1 1. 9 22 9 23 10 0. 0 42 3 L ie to 10 9 1. 3 1 36 8 16 .2 1 41 6 16 .8 1 61 4 19 .2 1 58 1 18 .8 1 04 7 12 .4 80 1 9. 5 34 6 4. 1 14 4 1. 7 8 42 5 10 0. 0 43 0 L oi m aa 70 0 2. 2 6 30 9 19 .5 5 92 4 18 .4 6 03 9 18 .7 5 44 2 16 .9 4 01 0 12 .4 2 03 4 6. 3 1 35 7 4. 2 46 8 1. 5 32 2 84 10 0. 0 44 2 L uv ia 13 2 1. 1 2 07 5 17 .0 2 23 0 18 .3 3 75 1 30 .8 1 80 2 14 .8 92 2 7. 6 90 1 7. 4 25 7 2. 1 10 9 0. 9 12 1 78 10 0. 0 48 0 M ar tti la 13 4 1. 6 1 59 7 18 .6 1 51 5 17 .6 1 71 1 19 .9 1 54 4 18 .0 1 04 6 12 .2 63 2 7. 4 30 2 3. 5 11 5 1. 3 8 59 6 10 0. 0 48 1 M as ku 17 6 1. 9 2 06 5 22 .4 1 59 7 17 .3 1 65 5 17 .9 1 47 4 16 .0 97 2 10 .5 81 3 8. 8 31 9 3. 5 15 9 1. 7 9 23 0 10 0. 0 48 4 M er ik ar vi a 70 7 2. 1 6 07 9 17 .9 5 49 9 16 .2 6 81 7 20 .1 6 86 9 20 .3 4 86 9 14 .4 1 46 1 4. 3 1 12 2 3. 3 45 5 1. 3 33 8 77 10 0. 0 50 3 M yn äm äk i 33 5 1. 2 4 71 1 16 .2 5 31 0 18 .2 6 05 2 20 .8 5 42 7 18 .6 3 62 3 12 .4 2 32 5 8. 0 96 7 3. 3 40 7 1. 4 29 1 56 10 0. 0 52 9 N aa nt al i 24 4 1. 8 2 56 6 18 .7 2 29 0 16 .7 2 33 3 17 .0 2 20 0 16 .0 1 55 5 11 .3 1 58 8 11 .6 59 5 4. 3 38 5 2. 8 13 7 55 10 0. 0 53 1 N ak ki la 69 0. 7 2 04 2 21 .9 2 02 6 21 .7 2 16 5 23 .2 1 46 7 15 .7 61 1 6. 5 59 0 6. 3 30 7 3. 3 63 0. 7 9 33 9 10 0. 0 53 7 N oo rm ar kk u 23 5 1. 0 4 51 2 18 .5 4 95 1 20 .3 4 83 6 19 .8 4 12 5 16 .9 2 39 0 9. 8 1 98 9 8. 2 81 2 3. 3 51 9 2. 1 24 3 70 10 0. 0 53 8 N ou si ai ne n 14 9 1. 5 1 56 1 15 .6 1 75 2 17 .5 2 03 4 20 .4 1 81 9 18 .2 1 27 3 12 .7 86 4 8. 6 36 9 3. 7 17 1 1. 7 9 99 1 10 0. 0 56 1 O rip ää 95 1. 9 78 8 15 .8 82 2 16 .5 99 4 19 .9 98 2 19 .7 67 1 13 .4 38 6 7. 7 18 1 3. 6 75 1. 5 4 99 5 10 0. 0 57 7 P ai m io 14 7 1. 3 1 90 3 16 .5 1 91 6 16 .6 2 27 4 19 .8 2 14 1 18 .6 1 42 0 12 .3 1 08 1 9. 4 44 5 3. 9 19 0 1. 7 11 5 16 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 103 Ta bl e 4a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 60 8 P om ar kk u 20 5 0. 9 3 39 7 15 .1 4 24 8 18 .9 4 17 9 18 .5 4 11 1 18 .2 2 80 4 12 .4 2 05 0 9. 1 96 7 4. 3 57 9 2. 6 22 5 41 10 0. 0 60 9 P or i 28 9 0. 9 7 00 0 22 .6 5 74 8 18 .6 7 34 2 23 .7 4 70 6 15 .2 2 28 2 7. 4 2 50 5 8. 1 65 0 2. 1 42 2 1. 4 30 9 43 10 0. 0 63 1 P yh är an ta 12 4 1. 3 1 99 3 20 .7 1 07 3 11 .2 1 84 1 19 .2 1 87 1 19 .5 1 67 0 17 .4 60 1 6. 3 42 0 4. 4 18 0. 2 9 61 2 10 0. 0 63 6 P öy ty ä 30 6 0. 8 5 68 3 14 .1 7 06 8 17 .5 8 81 9 21 .8 7 89 5 19 .6 5 37 1 13 .3 3 27 5 8. 1 1 39 4 3. 5 57 1 1. 4 40 3 83 10 0. 0 68 0 R ai si o 36 1. 9 43 0 22 .3 32 9 17 .0 35 5 18 .4 31 8 16 .5 20 1 10 .4 16 6 8. 6 65 3. 4 32 1. 7 1 93 1 10 0. 0 68 4 R au m a 25 4 0. 8 5 87 7 19 .1 4 12 6 13 .4 6 10 7 19 .9 6 09 7 19 .9 4 02 5 13 .1 2 14 0 7. 0 1 96 9 6. 4 11 0 0. 4 30 7 06 10 0. 0 70 4 R us ko 64 1. 1 90 8 14 .8 1 09 3 17 .9 1 29 4 21 .1 1 16 8 19 .1 77 6 12 .7 53 4 8. 7 20 1 3. 3 86 1. 4 6 12 4 10 0. 0 73 4 S al o 1 11 7 1. 1 15 5 82 14 .9 16 8 91 16 .2 21 4 92 20 .6 20 6 75 19 .8 14 0 26 13 .4 8 96 9 8. 6 4 19 4 4. 0 1 62 2 1. 6 10 4 56 9 10 0. 0 73 8 S au vo 18 4 1. 5 2 17 8 17 .9 2 10 6 17 .4 2 35 9 19 .4 2 14 5 17 .7 1 40 1 11 .5 1 08 6 8. 9 45 8 3. 8 22 6 1. 9 12 1 41 10 0. 0 74 7 S iik ai ne n 64 5 1. 8 5 47 3 15 .6 5 75 6 16 .4 7 16 1 20 .4 7 09 8 20 .2 5 08 6 14 .5 2 05 8 5. 9 1 20 3 3. 4 62 7 1. 8 35 1 05 10 0. 0 76 1 S om er o 43 5 1. 3 6 66 1 20 .2 7 93 1 24 .1 6 21 4 18 .8 5 70 7 17 .3 3 48 1 10 .6 1 30 3 4. 0 51 9 1. 6 72 9 2. 2 32 9 78 10 0. 0 78 3 S äk yl ä 15 4 1. 6 1 67 4 17 .1 1 13 9 11 .6 2 25 6 23 .0 2 32 5 23 .7 1 03 5 10 .6 51 7 5. 3 53 9 5. 5 16 6 1. 7 9 80 4 10 0. 0 83 3 Ta iva ss al o 16 2 2. 5 1 50 9 23 .0 1 13 3 17 .3 1 02 9 15 .7 97 5 14 .9 67 7 10 .3 67 1 10 .2 23 0 3. 5 16 3 2. 5 6 54 9 10 0. 0 83 8 Ta rv as jo ki 57 1. 4 74 2 18 .0 75 0 18 .2 82 8 20 .1 72 5 17 .6 48 7 11 .8 33 6 8. 1 15 1 3. 7 52 1. 3 4 12 9 10 0. 0 85 3 Tu rk u- Åb o 17 2 1. 7 2 27 5 22 .5 1 78 0 17 .6 1 86 4 18 .4 1 63 1 16 .1 1 09 0 10 .8 82 5 8. 1 34 4 3. 4 14 8 1. 5 10 1 29 10 0. 0 88 6 U lv ila 11 6 0. 4 5 09 4 18 .4 6 51 4 23 .5 5 47 2 19 .8 4 48 0 16 .2 2 41 2 8. 7 2 14 6 7. 8 86 4 3. 1 60 4 2. 2 27 7 02 10 0. 0 89 5 U us ik au pu nk i 54 9 1. 9 5 99 6 20 .8 5 22 8 18 .2 5 33 8 18 .5 4 60 6 16 .0 3 05 9 10 .6 2 48 5 8. 6 1 03 2 3. 6 51 8 1. 8 28 8 12 10 0. 0 91 8 V eh m aa 20 6 2. 1 2 38 1 24 .7 1 71 1 17 .7 1 61 3 16 .7 1 49 4 15 .5 96 6 10 .0 81 4 8. 4 30 0 3. 1 16 5 1. 7 9 65 0 10 0. 0 To ta l 14 3 81 1. 5 17 6 51 5 18 .2 17 1 28 8 17 .7 19 8 94 4 20 .5 17 3 24 7 17 .9 11 2 82 3 11 .6 70 0 70 7. 2 37 2 66 3. 8 16 1 95 1. 7 97 0 73 0 10 0. 0 H äm e- U us im aa 01 5 A rtj är vi 10 7 1. 2 1 92 5 21 .7 1 99 5 22 .5 1 86 8 21 .0 1 28 8 14 .5 76 3 8. 6 55 0 6. 2 28 0 3. 2 10 8 1. 2 8 88 3 10 0. 0 01 6 A si kk al a 38 1 0. 9 9 12 0 22 .6 8 87 0 21 .9 7 50 0 18 .5 6 48 5 16 .0 4 03 7 10 .0 2 58 0 6. 4 1 13 4 2. 8 34 4 0. 9 40 4 52 10 0. 0 01 8 A sk ol a 14 0 1. 3 2 22 3 20 .1 2 15 6 19 .5 2 40 7 21 .8 1 96 1 17 .7 97 7 8. 8 68 9 6. 2 33 9 3. 1 16 8 1. 5 11 0 61 10 0. 0 06 1 F or ss a 76 0. 6 2 68 2 20 .2 2 84 4 21 .4 1 94 9 14 .6 2 64 2 19 .9 1 80 9 13 .6 87 3 6. 6 19 5 1. 5 24 0 1. 8 13 3 10 10 0. 0 08 1 H ar to la 25 8 0. 6 10 2 37 23 .2 10 2 92 23 .3 6 89 8 15 .6 8 29 6 18 .8 4 22 6 9. 6 2 37 5 5. 4 1 24 4 2. 8 27 3 0. 6 44 0 99 10 0. 0 08 2 H at tu la 36 6 1. 6 5 49 4 23 .4 5 24 4 22 .3 4 69 5 20 .0 3 35 3 14 .3 2 10 5 9. 0 1 25 2 5. 3 75 5 3. 2 25 6 1. 1 23 5 21 10 0. 0 08 6 H au sj är vi 34 8 1. 8 4 83 2 25 .5 3 60 8 19 .0 4 02 9 21 .2 2 98 6 15 .7 1 72 2 9. 1 86 3 4. 6 44 7 2. 4 13 6 0. 7 18 9 72 10 0. 0 09 8 H ol lo la 34 6 1. 2 6 78 0 23 .7 6 33 6 22 .1 5 52 7 19 .3 4 46 1 15 .6 2 59 3 9. 1 1 55 0 5. 4 66 1 2. 3 41 2 1. 4 28 6 66 10 0. 0 10 3 H um pp ila 96 1. 4 1 32 7 18 .7 1 32 3 18 .6 1 09 8 15 .5 1 35 1 19 .0 93 4 13 .2 66 3 9. 3 21 7 3. 1 97 1. 4 7 10 6 10 0. 0 10 6 H yv in kä ä 32 4 1. 6 4 35 0 22 .0 3 86 1 19 .5 4 49 1 22 .7 3 21 2 16 .2 1 88 1 9. 5 1 04 3 5. 3 46 1 2. 3 18 4 0. 9 19 8 07 10 0. 0 10 9 H äm ee nl in na 1 71 7 1. 3 27 0 04 20 .9 26 9 35 20 .9 26 1 67 20 .3 21 6 21 16 .8 13 2 98 10 .3 7 25 2 5. 6 3 51 3 2. 7 1 45 0 1. 1 12 8 95 8 10 0. 0 11 1 H ei no la 56 7 1. 0 12 3 18 22 .0 12 6 92 22 .6 9 83 6 17 .5 8 80 5 15 .7 6 54 1 11 .7 3 79 3 6. 8 1 31 6 2. 3 25 5 0. 5 56 1 24 10 0. 0 16 5 J an ak ka la 54 7 1. 6 7 12 3 21 .4 6 93 2 20 .8 6 93 7 20 .8 5 49 2 16 .5 3 04 0 9. 1 1 94 5 5. 8 95 8 2. 9 37 1 1. 1 33 3 43 10 0. 0 16 9 J ok io in en 13 0 1. 7 1 91 6 24 .4 1 91 0 24 .3 88 4 11 .3 1 35 3 17 .2 89 7 11 .4 45 7 5. 8 14 4 1. 8 15 9 2. 0 7 84 9 10 0. 0 18 6 J är ve np ää 25 1. 8 44 4 31 .7 29 6 21 .1 25 3 18 .1 20 0 14 .3 78 5. 5 56 4. 0 35 2. 5 15 1. 1 1 40 1 10 0. 0 22 3 K ar ja lo hj a 12 8 1. 8 2 13 1 29 .7 1 72 1 24 .0 1 17 3 16 .3 80 9 11 .3 51 5 7. 2 41 5 5. 8 17 7 2. 5 11 8 1. 7 7 18 8 10 0. 0 22 4 K ar kk ila 20 9 1. 3 3 19 8 20 .0 3 43 6 21 .5 3 40 2 21 .3 2 39 6 15 .0 1 47 2 9. 2 1 04 1 6. 5 55 9 3. 5 29 7 1. 9 16 0 11 10 0. 0 24 5 K er av a 18 1. 5 33 6 27 .6 25 7 21 .1 21 9 18 .0 17 8 14 .6 10 0 8. 2 59 4. 8 29 2. 3 24 2. 0 1 22 0 10 0. 0 28 3 H äm ee nk os ki 14 6 1. 3 3 00 6 26 .0 2 49 2 21 .5 2 19 9 19 .0 1 82 7 15 .8 1 02 8 8. 9 58 4 5. 0 22 6 2. 0 68 0. 6 11 5 75 10 0. 0 31 6 K är kö lä 23 4 1. 7 3 65 6 26 .4 2 90 6 21 .0 2 58 0 18 .7 2 32 4 16 .8 1 20 6 8. 7 61 2 4. 4 22 5 1. 6 82 0. 6 13 8 26 10 0. 0 39 8 L ah ti 11 3 1. 6 1 88 5 27 .3 1 66 4 24 .1 1 17 1 17 .0 85 8 12 .4 58 3 8. 4 32 2 4. 7 16 5 2. 4 14 2 2. 1 6 90 1 10 0. 0 43 3 L op pi 65 2 1. 5 9 39 4 22 .1 8 36 2 19 .6 8 38 9 19 .7 6 89 7 16 .2 4 16 5 9. 8 2 67 4 6. 3 1 46 8 3. 5 59 2 1. 4 42 5 93 10 0. 0 44 4 L oh ja 34 5 1. 8 6 21 9 32 .4 4 22 5 22 .0 3 11 8 16 .2 2 07 5 10 .8 1 29 8 6. 8 1 00 2 5. 2 57 2 3. 0 34 3 1. 8 19 1 99 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 104 Ta bl e 4a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 50 4 M yr sk yl ä- M ör sk om 12 0 1. 0 2 13 2 18 .4 2 52 0 21 .8 2 73 8 23 .6 1 89 8 16 .4 1 00 1 8. 6 68 8 5. 9 33 4 2. 9 15 7 1. 4 11 5 88 10 0. 0 50 5 M än ts äl ä 53 7 1. 6 7 71 2 22 .4 6 42 3 18 .6 7 63 5 22 .1 6 08 9 17 .7 3 74 0 10 .9 1 46 5 4. 3 65 3 1. 9 22 3 0. 7 34 4 77 10 0. 0 53 2 N as to la 22 7 1. 1 4 98 1 23 .5 5 17 1 24 .4 3 85 9 18 .2 3 00 5 14 .2 2 37 6 11 .2 88 3 4. 2 41 4 2. 0 31 5 1. 5 21 2 32 10 0. 0 54 0 N um m i-P us ul a 48 1 1. 7 7 15 6 25 .3 6 52 7 23 .1 5 44 4 19 .2 3 36 6 11 .9 2 29 1 8. 1 1 65 5 5. 9 84 2 3. 0 54 7 1. 9 28 3 09 10 0. 0 54 3 N ur m ijä rv i 37 3 2. 2 5 12 9 30 .3 3 57 3 21 .1 3 00 1 17 .7 2 14 2 12 .7 1 09 8 6. 5 86 1 5. 1 46 6 2. 8 26 6 1. 6 16 9 09 10 0. 0 56 0 O rim at til a 47 3 1. 4 9 43 1 27 .7 7 66 3 22 .5 6 18 7 18 .2 4 34 3 12 .8 2 95 3 8. 7 1 70 5 5. 0 85 9 2. 5 43 5 1. 3 34 0 50 10 0. 0 57 6 P ad as jo ki 42 4 1. 0 7 51 8 17 .8 9 09 8 21 .5 8 52 0 20 .2 7 34 3 17 .4 4 59 8 10 .9 2 66 2 6. 3 1 61 4 3. 8 47 1 1. 1 42 2 47 10 0. 0 61 1 P or na in en 83 1. 1 1 43 2 18 .3 1 72 0 22 .0 1 81 2 23 .1 1 32 5 16 .9 62 5 8. 0 44 6 5. 7 25 1 3. 2 13 8 1. 8 7 83 2 10 0. 0 61 6 P uk ki la 78 1. 1 1 52 8 22 .3 1 51 4 22 .1 1 57 5 23 .0 1 03 2 15 .1 51 8 7. 6 35 2 5. 1 17 7 2. 6 84 1. 2 6 85 9 10 0. 0 69 4 R iih im äk i 13 0 1. 9 1 96 1 28 .9 1 30 9 19 .3 1 39 5 20 .5 97 9 14 .4 51 4 7. 6 31 9 4. 7 14 7 2. 2 44 0. 7 6 79 8 10 0. 0 78 1 S ys m ä 33 9 0. 7 12 1 06 23 .1 11 9 15 22 .8 7 86 8 15 .0 10 2 17 19 .5 5 42 1 10 .4 3 06 7 5. 9 1 11 9 2. 1 33 1 0. 6 52 3 84 10 0. 0 83 4 Ta m m el a 31 2 0. 7 6 55 5 15 .0 10 5 19 24 .1 8 51 4 19 .5 7 05 3 16 .2 6 15 7 14 .1 2 38 0 5. 5 98 1 2. 3 1 11 0 2. 6 43 5 81 10 0. 0 85 8 Tu us ul a 18 9 1. 9 2 74 6 27 .2 2 13 4 21 .1 1 89 1 18 .7 1 48 9 14 .8 78 7 7. 8 47 6 4. 7 24 6 2. 4 13 7 1. 4 10 0 96 10 0. 0 92 7 V ih ti 36 7 1. 2 6 34 7 21 .1 6 73 2 22 .4 6 20 2 20 .6 4 28 6 14 .2 2 56 4 8. 5 1 84 6 6. 1 1 05 6 3. 5 70 9 2. 4 30 1 08 10 0. 0 98 1 Y pä jä 83 1. 1 1 44 9 18 .7 1 81 3 23 .4 1 04 7 13 .5 1 43 2 18 .5 96 4 12 .4 58 0 7. 5 21 7 2. 8 17 2 2. 2 7 75 7 10 0. 0 To ta l 11 4 90 1. 3 20 5 78 6 22 .5 19 8 98 7 21 .7 17 4 47 7 19 .0 14 6 86 9 16 .0 90 8 79 9. 9 52 0 35 5. 7 24 4 98 2. 7 11 2 72 1. 2 91 6 29 4 10 0. 0 Ka ak ko is -S uo m i 07 5 H am in a 1 13 6 2. 6 10 8 95 24 .8 10 2 41 23 .3 7 98 1 18 .2 4 66 2 10 .6 4 43 9 10 .1 3 53 5 8. 1 87 9 2. 0 15 7 0. 4 43 9 24 10 0. 0 14 2 Ii tti 38 3 1. 0 7 71 3 19 .4 9 44 5 23 .8 7 32 9 18 .5 6 52 4 16 .4 4 57 3 11 .5 2 44 6 6. 2 1 05 8 2. 7 21 5 0. 5 39 6 87 10 0. 0 15 3 Im at ra 21 8 2. 2 2 62 3 26 .7 2 22 9 22 .7 1 62 2 16 .5 1 36 9 13 .9 89 1 9. 1 62 8 6. 4 22 0 2. 2 38 0. 4 9 83 8 10 0. 0 28 5 K ot ka 53 5 3. 0 5 23 2 28 .9 4 38 1 24 .2 2 85 5 15 .8 1 77 7 9. 8 1 59 3 8. 8 1 21 9 6. 7 37 3 2. 1 12 3 0. 7 18 0 88 10 0. 0 28 6 K ou vo la 2 23 4 1. 3 35 5 01 20 .2 39 2 16 22 .3 34 0 09 19 .4 23 5 34 13 .4 22 7 94 13 .0 13 0 48 7. 4 4 38 7 2. 5 88 2 0. 5 17 5 60 4 10 0. 0 40 5 L ap pe en ra nt a 1 66 1 2. 3 19 8 98 27 .4 15 8 08 21 .7 12 2 30 16 .8 8 97 5 12 .3 7 39 5 10 .2 5 05 1 7. 0 1 31 3 1. 8 38 8 0. 5 72 7 20 10 0. 0 41 6 L em i 30 8 1. 9 4 82 9 29 .8 3 74 2 23 .1 2 70 4 16 .7 1 90 6 11 .7 1 55 0 9. 6 86 1 5. 3 21 9 1. 4 11 6 0. 7 16 2 35 10 0. 0 44 1 L uu m äk i 1 26 4 2. 1 13 4 21 22 .8 13 2 69 22 .5 10 9 81 18 .6 6 76 7 11 .5 6 81 7 11 .6 4 76 3 8. 1 1 34 0 2. 3 33 2 0. 6 58 9 53 10 0. 0 48 9 M ie hi kk äl ä 67 3 2. 1 6 83 4 21 .6 7 33 0 23 .2 6 15 6 19 .5 3 72 5 11 .8 3 75 4 11 .9 2 37 6 7. 5 45 9 1. 5 27 9 0. 9 31 5 85 10 0. 0 58 0 P ar ik ka la 55 0 1. 3 11 8 73 27 .6 13 8 80 32 .2 7 22 9 16 .8 4 57 0 10 .6 2 57 3 6. 0 1 71 3 4. 0 51 2 1. 2 19 7 0. 5 43 0 98 10 0. 0 62 4 P yh tä ä- Py tti s 13 9 0. 7 2 83 5 15 .1 4 37 5 23 .3 4 27 1 22 .7 3 01 6 16 .1 2 13 8 11 .4 1 14 4 6. 1 53 5 2. 9 33 2 1. 8 18 7 85 10 0. 0 68 9 R au tjä rv i 53 3 1. 9 7 15 0 25 .2 7 87 5 27 .7 4 98 2 17 .5 3 55 4 12 .5 2 05 6 7. 2 1 72 5 6. 1 41 0 1. 4 12 6 0. 4 28 4 11 10 0. 0 70 0 R uo ko la ht i 1 06 8 1. 3 17 4 53 21 .9 21 0 90 26 .4 15 6 22 19 .6 10 2 18 12 .8 7 79 0 9. 8 4 56 3 5. 7 1 42 5 1. 8 60 0 0. 8 79 8 27 10 0. 0 73 9 S av ita ip al e 69 2 1. 6 11 4 76 26 .4 10 6 54 24 .5 8 70 8 20 .0 4 50 7 10 .4 4 10 8 9. 4 2 43 7 5. 6 69 8 1. 6 27 0 0. 6 43 5 50 10 0. 0 77 5 S uo m en ni em i 31 6 1. 3 5 02 8 20 .8 5 97 2 24 .7 5 13 1 21 .2 2 42 9 10 .1 2 72 4 11 .3 1 83 4 7. 6 54 4 2. 3 17 8 0. 7 24 1 57 10 0. 0 83 1 Ta ip al sa ar i 28 6 1. 0 6 52 7 23 .5 6 92 9 25 .0 5 86 4 21 .1 3 12 2 11 .3 2 66 2 9. 6 1 59 7 5. 8 67 4 2. 4 78 0. 3 27 7 40 10 0. 0 93 5 V iro la ht i 76 7 3. 0 5 77 0 22 .3 6 15 9 23 .8 4 89 3 18 .9 2 76 2 10 .7 3 21 8 12 .5 1 77 3 6. 9 25 5 1. 0 24 5 1. 0 25 8 42 10 0. 0 97 8 Y lä m aa 56 8 1. 9 6 18 1 20 .3 7 06 9 23 .2 5 85 1 19 .2 3 97 0 13 .0 3 36 0 11 .0 2 60 4 8. 6 60 7 2. 0 23 5 0. 8 30 4 44 10 0. 0 To ta l 13 3 31 1. 7 18 1 23 8 23 .0 18 9 66 3 24 .1 14 8 41 8 18 .8 97 3 87 12 .4 84 4 34 10 .7 53 3 19 6. 8 15 9 06 2. 0 4 79 0 0. 6 78 8 48 8 10 0. 0 Pi rk an m aa 02 0 A ka a 67 1. 3 1 32 0 25 .7 1 33 9 26 .0 81 1 15 .8 79 9 15 .5 46 5 9. 0 22 1 4. 3 72 1. 4 54 1. 0 5 14 8 10 0. 0 10 8 H äm ee nk yr ö 37 2 1. 2 6 77 3 21 .3 8 30 0 26 .1 6 42 2 20 .2 4 50 3 14 .2 2 96 3 9. 3 1 30 7 4. 1 75 2 2. 4 38 8 1. 2 31 7 81 10 0. 0 14 3 Ik aa lin en 76 2 1. 3 11 3 41 19 .9 13 7 34 24 .1 11 5 73 20 .3 8 14 7 14 .3 5 58 7 9. 8 3 01 7 5. 3 1 88 0 3. 3 1 06 3 1. 9 57 1 05 10 0. 0 17 7 J uu pa jo ki 28 0 1. 4 4 21 1 20 .6 4 38 1 21 .4 4 10 6 20 .1 3 03 6 14 .8 2 39 9 11 .7 1 05 3 5. 1 59 8 2. 9 42 0 2. 1 20 4 84 10 0. 0 21 1 K an ga sa la 75 5 2. 3 7 09 5 21 .6 7 26 8 22 .1 6 86 3 20 .9 4 31 7 13 .1 3 41 7 10 .4 1 70 1 5. 2 44 7 1. 4 99 5 3. 0 32 8 59 10 0. 0 25 0 K ih ni ö 35 7 1. 3 3 62 7 13 .2 5 20 2 18 .9 6 21 8 22 .6 4 79 4 17 .4 3 06 8 11 .1 2 29 4 8. 3 1 24 7 4. 5 74 8 2. 7 27 5 55 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 105 Ta bl e 4a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 28 9 K uh m al ah ti 21 9 1. 8 3 11 8 25 .0 2 73 8 21 .9 2 29 1 18 .4 1 76 5 14 .1 1 10 6 8. 9 68 8 5. 5 44 9 3. 6 10 9 0. 9 12 4 83 10 0. 0 31 0 K yl m äk os ki 11 4 1. 1 2 21 3 20 .6 2 62 2 24 .4 1 64 6 15 .3 2 09 1 19 .5 1 09 7 10 .2 63 1 5. 9 15 0 1. 4 18 8 1. 7 10 7 52 10 0. 0 41 8 L em pä äl ä 78 8 4. 6 3 37 2 19 .5 4 06 6 23 .5 4 10 1 23 .7 1 93 7 11 .2 2 06 8 11 .9 60 3 3. 5 20 6 1. 2 18 8 1. 1 17 3 28 10 0. 0 50 8 M än ttä -V ilp pu la 49 2 1. 1 7 91 9 18 .1 9 92 3 22 .7 9 25 3 21 .2 6 66 6 15 .3 4 71 1 10 .8 2 55 6 5. 9 1 41 9 3. 3 75 1 1. 7 43 6 90 10 0. 0 53 6 N ok ia 36 4 1. 9 3 91 9 20 .6 4 59 2 24 .2 4 35 1 22 .9 2 42 9 12 .8 1 99 0 10 .5 75 5 4. 0 41 4 2. 2 20 2 1. 1 19 0 18 10 0. 0 56 2 O riv es i 82 8 1. 3 12 4 86 19 .8 14 4 37 22 .9 12 7 65 20 .3 9 37 7 14 .9 7 00 4 11 .1 3 22 3 5. 1 1 73 2 2. 8 1 13 5 1. 8 62 9 88 10 0. 0 58 1 P ar ka no 1 24 4 1. 9 9 73 2 14 .8 11 3 80 17 .3 14 1 54 21 .5 10 8 35 16 .5 7 86 3 12 .0 5 12 8 7. 8 3 17 1 4. 8 2 24 8 3. 4 65 7 55 10 0. 0 60 4 P irk ka la 22 1 4. 4 1 19 5 23 .7 1 10 9 22 .0 1 15 9 23 .0 55 6 11 .0 57 9 11 .5 13 4 2. 7 61 1. 2 31 0. 6 5 04 4 10 0. 0 61 9 P un ka la id un 29 2 1. 6 3 87 2 21 .2 3 18 8 17 .5 3 75 1 20 .6 2 54 0 13 .9 2 72 1 14 .9 1 15 0 6. 3 56 6 3. 1 14 9 0. 8 18 2 29 10 0. 0 63 5 P äl kä ne 48 1 1. 2 7 34 5 18 .0 9 54 9 23 .5 9 59 5 23 .6 6 93 2 17 .0 3 46 7 8. 5 2 00 8 4. 9 1 08 0 2. 7 26 4 0. 7 40 7 21 10 0. 0 70 2 R uo ve si 61 5 1. 0 9 87 3 15 .6 14 6 30 23 .2 14 1 96 22 .5 9 81 8 15 .5 7 07 2 11 .2 3 58 1 5. 7 2 18 5 3. 5 1 21 6 1. 9 63 1 88 10 0. 0 79 0 S as ta m al a 1 37 0 1. 6 16 9 34 19 .4 24 2 55 27 .8 16 9 99 19 .5 11 2 01 12 .8 8 32 4 9. 5 4 22 4 4. 8 2 96 6 3. 4 95 4 1. 1 87 2 25 10 0. 0 83 7 Ta m pe re 51 1 1. 3 6 67 9 17 .6 9 02 8 23 .7 8 31 9 21 .9 6 00 5 15 .8 4 04 1 10 .6 1 83 9 4. 8 1 02 5 2. 7 60 1 1. 6 38 0 46 10 0. 0 88 7 U rja la 39 9 1. 4 5 79 9 20 .2 5 95 0 20 .7 4 95 6 17 .3 5 25 8 18 .3 3 54 2 12 .3 1 83 6 6. 4 64 7 2. 3 35 0 1. 2 28 7 38 10 0. 0 90 8 V al ke ak os ki 24 7 1. 5 3 29 7 20 .6 3 87 0 24 .2 3 37 6 21 .1 2 39 2 14 .9 1 72 1 10 .8 62 1 3. 9 29 7 1. 9 19 1 1. 2 16 0 12 10 0. 0 92 2 V es ila ht i 36 9 1. 9 4 42 6 22 .2 3 82 8 19 .2 3 34 3 16 .8 3 34 3 16 .8 2 82 0 14 .2 1 02 1 5. 1 52 4 2. 6 24 2 1. 2 19 9 16 10 0. 0 93 6 V irr at 1 43 9 1. 6 15 0 58 16 .3 18 7 26 20 .2 16 7 09 18 .0 15 5 69 16 .8 10 4 74 11 .3 7 69 3 8. 3 4 90 1 5. 3 2 06 7 2. 2 92 6 35 10 0. 0 98 0 Y lö jä rv i 95 4 1. 1 13 9 28 15 .5 21 3 18 23 .7 19 8 69 22 .1 14 1 76 15 .8 9 60 4 10 .7 5 43 5 6. 0 3 05 5 3. 4 1 61 3 1. 8 89 9 51 10 0. 0 To ta l 13 5 40 1. 5 16 5 53 1 18 .3 20 5 43 3 22 .7 18 6 82 7 20 .6 13 8 48 6 15 .3 98 1 02 10 .8 52 7 19 5. 8 29 8 44 3. 3 16 1 68 1. 8 90 6 65 0 10 0. 0 Et el ä- Sa vo 04 6 E no nk os ki 51 3 2. 0 6 92 7 26 .5 6 91 3 26 .4 4 25 3 16 .2 2 91 0 11 .1 2 06 6 7. 9 1 82 1 7. 0 61 3 2. 3 17 3 0. 7 26 1 89 10 0. 0 09 0 H ei nä ve si 1 49 0 1. 6 21 7 84 23 .9 25 8 42 28 .4 17 1 54 18 .8 9 70 4 10 .7 7 32 2 8. 0 5 52 6 6. 1 1 92 6 2. 1 37 3 0. 4 91 1 21 10 0. 0 09 7 H irv en sa lm i 31 3 0. 8 8 77 7 22 .9 9 32 7 24 .3 6 64 7 17 .3 5 71 0 14 .9 4 15 7 10 .8 2 50 7 6. 5 80 6 2. 1 15 6 0. 4 38 4 00 10 0. 0 17 1 J or oi ne n 88 4 1. 9 10 7 55 23 .5 12 8 24 28 .0 6 50 2 14 .2 4 63 6 10 .1 6 05 3 13 .2 2 87 6 6. 3 94 9 2. 1 33 6 0. 7 45 8 15 10 0. 0 17 8 J uv a 1 07 0 1. 1 21 6 43 23 .0 22 2 65 23 .7 16 2 36 17 .3 11 8 65 12 .6 12 3 55 13 .1 5 81 7 6. 2 2 37 2 2. 5 42 5 0. 5 94 0 49 10 0. 0 21 3 K an ga sn ie m i 1 15 3 1. 3 24 7 04 27 .4 21 0 44 23 .3 14 1 49 15 .7 10 4 73 11 .6 11 0 49 12 .2 5 38 9 6. 0 1 86 4 2. 1 46 0 0. 5 90 2 85 10 0. 0 24 6 K er im äk i 74 6 1. 6 12 0 21 26 .4 12 5 17 27 .5 7 75 7 17 .0 5 42 2 11 .9 3 65 7 8. 0 2 29 2 5. 0 81 7 1. 8 34 0 0. 8 45 5 71 10 0. 0 49 1 M ik ke li 1 51 8 1. 1 34 8 51 25 .9 31 4 15 23 .3 22 2 72 16 .5 17 1 68 12 .7 15 7 70 11 .7 8 20 6 6. 1 3 12 4 2. 3 44 7 0. 3 13 4 77 0 10 0. 0 50 7 M än ty ha rju 90 7 1. 1 17 4 24 21 .3 19 2 50 23 .5 16 6 77 20 .4 9 98 5 12 .2 9 28 3 11 .4 5 98 5 7. 3 1 85 3 2. 3 41 2 0. 5 81 7 76 10 0. 0 58 8 P er tu nm aa 26 2 0. 9 7 92 4 25 .9 7 65 7 25 .0 5 15 1 16 .8 4 24 9 13 .9 3 15 7 10 .3 1 66 9 5. 5 54 3 1. 8 20 0. 1 30 6 32 10 0. 0 59 3 P ie ks äm äk i 2 37 0 1. 8 31 2 49 23 .2 33 0 51 24 .5 22 0 34 16 .4 15 0 86 11 .2 17 6 65 13 .1 8 75 3 6. 5 3 84 2 2. 9 72 1 0. 5 13 4 76 9 10 0. 0 61 8 P un ka ha rju 54 2 1. 4 8 98 9 22 .8 12 0 93 30 .7 7 08 5 18 .0 4 68 7 11 .9 3 26 6 8. 3 1 86 5 4. 7 51 3 1. 3 39 8 1. 0 39 4 39 10 0. 0 62 3 P uu m al a 53 5 0. 8 15 2 51 22 .0 20 8 61 30 .1 13 9 09 20 .1 6 98 5 10 .1 7 11 3 10 .3 3 56 2 5. 1 92 2 1. 3 18 9 0. 3 69 3 26 10 0. 0 68 1 R an ta sa lm i 78 5 1. 8 12 8 68 29 .0 11 7 88 26 .6 6 98 4 15 .7 4 76 1 10 .7 3 53 5 8. 0 2 51 2 5. 7 88 5 2. 0 24 7 0. 6 44 3 65 10 0. 0 69 6 R is tii na 45 8 1. 0 10 4 64 22 .6 10 8 40 23 .4 8 84 3 19 .1 5 63 0 12 .2 5 39 8 11 .7 3 30 8 7. 1 1 14 2 2. 5 26 2 0. 6 46 3 45 10 0. 0 74 0 S av on lin na 1 51 4 1. 5 25 3 56 24 .3 29 9 34 28 .7 18 6 73 17 .9 11 6 73 11 .2 8 49 0 8. 1 6 05 2 5. 8 1 94 0 1. 9 72 6 0. 7 10 4 35 6 10 0. 0 76 8 S ul ka va 84 4 1. 7 13 4 31 26 .9 13 6 04 27 .3 8 92 5 17 .9 5 30 2 10 .6 4 25 1 8. 5 2 51 6 5. 0 67 8 1. 4 34 2 0. 7 49 8 93 10 0. 0 To ta l 15 9 05 1. 4 28 4 42 0 24 .4 30 1 22 4 25 .8 20 3 24 9 17 .4 13 6 24 7 11 .7 12 4 58 8 10 .7 70 6 52 6. 1 24 7 88 2. 1 6 02 6 0. 5 1 16 7 10 0 10 0. 0 Et el ä- Po hj an m aa 00 5 A la jä rv i 1 35 0 1. 8 12 2 50 16 .4 13 6 14 18 .2 15 3 45 20 .5 11 8 70 15 .9 9 14 7 12 .2 5 64 1 7. 5 3 86 9 5. 2 1 72 6 2. 3 74 8 11 10 0. 0 01 0 A la vu s 1 20 0 2. 2 10 3 65 19 .1 9 94 4 18 .4 9 63 9 17 .8 9 76 1 18 .0 5 38 7 9. 9 4 16 3 7. 7 2 99 1 5. 5 74 9 1. 4 54 2 00 10 0. 0 05 2 E vi jä rv i 47 9 2. 0 4 77 0 20 .3 4 57 3 19 .5 4 54 9 19 .4 3 39 8 14 .5 2 72 9 11 .6 1 54 8 6. 6 90 8 3. 9 53 6 2. 3 23 4 91 10 0. 0 07 4 H al su a 24 3 0. 9 3 02 7 11 .3 6 10 9 22 .9 5 15 8 19 .3 3 15 0 11 .8 3 44 8 12 .9 1 77 1 6. 6 2 02 2 7. 6 1 79 0 6. 7 26 7 17 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 106 Ta bl e 4a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 09 5 H im an ka 39 7 2. 2 2 79 2 15 .1 3 67 7 19 .9 3 79 7 20 .6 2 69 7 14 .6 2 15 9 11 .7 1 28 9 7. 0 96 4 5. 2 66 9 3. 6 18 4 39 10 0. 0 14 5 Il m aj ok i 65 5 2. 0 7 71 2 22 .9 7 27 9 21 .6 4 67 1 13 .9 4 37 8 13 .0 3 50 1 10 .4 3 01 6 9. 0 1 93 0 5. 7 53 4 1. 6 33 6 76 10 0. 0 15 1 Is oj ok i 62 5 1. 4 6 97 7 15 .2 8 18 2 17 .9 9 63 3 21 .0 7 82 3 17 .1 5 20 3 11 .4 3 56 8 7. 8 2 68 1 5. 9 1 10 0 2. 4 45 7 92 10 0. 0 15 2 Is ok yr ö 33 8 1. 8 4 31 2 22 .6 4 69 0 24 .6 2 65 4 13 .9 2 24 6 11 .8 1 91 4 10 .1 1 55 2 8. 2 87 3 4. 6 46 4 2. 4 19 0 43 10 0. 0 16 4 J al as jä rv i 1 27 3 2. 6 10 9 09 21 .9 8 63 8 17 .3 9 20 6 18 .5 7 59 3 15 .2 4 92 4 9. 9 3 82 6 7. 7 2 41 6 4. 8 1 09 4 2. 2 49 8 81 10 0. 0 21 7 K an nu s 46 6 1. 4 5 21 7 16 .2 5 58 5 17 .3 6 58 7 20 .4 4 60 2 14 .3 4 02 3 12 .5 2 63 3 8. 2 1 82 3 5. 6 1 35 8 4. 2 32 2 95 10 0. 0 21 8 K ar ijo ki 13 1 1. 1 2 19 6 17 .9 2 82 3 23 .1 1 83 9 15 .0 1 59 9 13 .1 1 45 6 11 .9 1 18 7 9. 7 80 6 6. 6 20 6 1. 7 12 2 45 10 0. 0 23 2 K au ha jo ki 1 43 5 1. 8 14 5 22 17 .8 14 2 97 17 .5 19 0 83 23 .4 12 4 94 15 .3 8 19 6 10 .0 5 39 5 6. 6 4 83 0 5. 9 1 38 3 1. 7 81 6 33 10 0. 0 23 3 K au ha va 1 71 4 2. 3 13 6 45 18 .1 15 2 35 20 .3 14 2 41 18 .9 10 3 78 13 .8 9 24 7 12 .3 5 74 7 7. 6 3 20 1 4. 3 1 81 7 2. 4 75 2 25 10 0. 0 23 6 K au st in en 39 7 1. 7 3 59 8 15 .5 4 50 2 19 .4 4 89 9 21 .1 3 44 5 14 .8 2 76 5 11 .9 1 65 8 7. 1 1 19 3 5. 1 76 2 3. 3 23 2 19 10 0. 0 27 2 K ok ko la -K ar le by 1 72 7 1. 8 16 3 71 17 .0 20 3 59 21 .1 18 9 30 19 .6 13 8 23 14 .3 11 0 42 11 .4 6 35 0 6. 6 4 51 0 4. 7 3 44 5 3. 6 96 5 59 10 0. 0 30 0 K uo rta ne 81 6 2. 5 6 54 9 19 .7 5 46 7 16 .5 5 70 5 17 .2 5 38 9 16 .2 3 97 3 12 .0 2 65 6 8. 0 1 91 1 5. 8 72 4 2. 2 33 1 91 10 0. 0 30 1 K ur ik ka 1 13 4 1. 9 13 5 00 22 .8 13 5 19 22 .8 8 18 9 13 .8 7 37 5 12 .5 6 35 8 10 .7 5 10 5 8. 6 3 08 9 5. 2 98 3 1. 7 59 2 52 10 0. 0 39 9 L ai hi a 48 9 1. 5 6 14 7 18 .8 7 85 8 24 .0 4 69 6 14 .4 4 25 3 13 .0 3 71 6 11 .4 3 01 2 9. 2 1 78 9 5. 5 73 2 2. 2 32 6 93 10 0. 0 40 3 L ap pa jä rv i 47 9 1. 7 4 05 0 14 .3 5 17 8 18 .3 5 63 4 19 .9 4 34 1 15 .3 4 17 7 14 .8 2 37 9 8. 4 1 35 8 4. 8 71 9 2. 5 28 3 15 10 0. 0 40 8 L ap ua 57 4 1. 4 6 25 5 15 .0 8 76 1 21 .0 8 34 5 20 .0 6 50 2 15 .6 5 29 4 12 .7 3 04 8 7. 3 1 85 6 4. 5 1 10 5 2. 7 41 7 39 10 0. 0 42 1 L es tij är vi 65 2 1. 9 5 35 6 15 .7 6 39 0 18 .7 6 12 8 17 .9 6 23 6 18 .3 4 53 6 13 .3 2 29 4 6. 7 1 66 5 4. 9 90 5 2. 7 34 1 61 10 0. 0 58 4 P er ho 69 9 1. 4 5 83 7 11 .6 10 0 81 20 .1 10 5 37 21 .0 9 14 3 18 .2 6 22 0 12 .4 3 48 7 6. 9 2 41 1 4. 8 1 81 7 3. 6 50 2 33 10 0. 0 74 3 S ei nä jo ki 1 97 2 2. 3 20 5 36 23 .5 16 3 21 18 .7 15 3 16 17 .6 13 0 49 15 .0 8 74 8 10 .0 5 79 5 6. 6 4 18 2 4. 8 1 34 0 1. 5 87 2 60 10 0. 0 75 9 S oi ni 61 9 1. 5 5 88 0 13 .9 8 62 7 20 .3 10 2 57 24 .2 6 98 1 16 .4 4 57 2 10 .8 2 66 7 6. 3 1 71 6 4. 0 1 14 9 2. 7 42 4 68 10 0. 0 84 6 Te uv a 61 8 1. 7 7 32 2 20 .2 8 89 4 24 .6 5 14 9 14 .2 4 37 8 12 .1 3 99 2 11 .0 3 28 0 9. 1 2 04 0 5. 6 49 9 1. 4 36 1 73 10 0. 0 84 9 To ho la m pi 53 0 1. 4 6 26 3 16 .6 7 08 6 18 .8 7 25 8 19 .3 4 79 7 12 .7 4 60 5 12 .2 3 24 1 8. 6 2 22 9 5. 9 1 63 9 4. 4 37 6 48 10 0. 0 86 3 Tö ys ä 50 6 2. 3 4 04 0 18 .1 3 27 0 14 .6 4 05 0 18 .1 3 49 9 15 .7 2 82 7 12 .6 2 06 7 9. 2 1 50 3 6. 7 59 8 2. 7 22 3 60 10 0. 0 92 4 V et el i 51 1 1. 6 4 22 5 13 .4 5 85 4 18 .6 6 97 5 22 .2 5 07 8 16 .1 3 97 9 12 .6 2 30 7 7. 3 1 46 4 4. 7 1 08 4 3. 4 31 4 77 10 0. 0 93 4 V im pe li 18 9 1. 0 2 51 8 13 .9 3 61 5 20 .0 3 95 3 21 .9 2 76 2 15 .3 2 16 8 12 .0 1 26 7 7. 0 91 0 5. 0 69 3 3. 8 18 0 75 10 0. 0 94 2 V äh äk yr ö 24 0 2. 7 2 46 5 27 .5 2 25 7 25 .2 1 18 3 13 .2 92 3 10 .3 57 1 6. 4 76 0 8. 5 32 3 3. 6 23 7 2. 6 8 95 9 10 0. 0 98 9 Ä ht är i 94 5 1. 4 10 4 32 15 .8 13 1 30 19 .8 14 7 70 22 .3 10 5 69 16 .0 7 86 0 11 .9 4 54 2 6. 9 2 52 0 3. 8 1 47 4 2. 2 66 2 42 10 0. 0 To ta l 23 4 03 1. 8 23 0 03 8 17 .7 25 5 81 7 19 .7 24 8 37 9 19 .1 19 4 53 1 15 .0 14 8 73 7 11 .5 97 2 52 7. 5 65 9 83 5. 1 33 3 31 2. 6 1 29 7 47 1 10 0. 0 Ke sk i-S uo m i 07 7 H an ka sa lm i 51 1 1. 2 13 1 51 29 .6 11 3 48 25 .5 6 52 1 14 .7 4 66 9 10 .5 5 53 3 12 .4 1 92 7 4. 3 61 9 1. 4 21 0 0. 5 44 4 90 10 0. 0 17 2 J ou ts a 42 4 0. 6 17 0 81 23 .8 17 2 63 24 .0 12 6 08 17 .5 10 7 65 15 .0 8 07 4 11 .2 3 79 0 5. 3 1 50 4 2. 1 35 2 0. 5 71 8 62 10 0. 0 17 9 J yv äs ky lä 1 25 3 1. 3 25 9 48 27 .7 22 9 94 24 .6 15 1 01 16 .1 12 5 21 13 .4 9 08 3 9. 7 3 95 5 4. 2 1 99 6 2. 1 81 4 0. 9 93 6 65 10 0. 0 18 2 J äm sä 1 58 5 1. 2 34 1 03 26 .3 33 9 37 26 .2 21 0 65 16 .3 15 5 43 12 .0 12 4 79 9. 6 6 12 5 4. 7 2 75 3 2. 1 1 98 7 1. 5 12 9 57 7 10 0. 0 21 6 K an no nk os ki 61 5 1. 6 5 69 9 14 .6 9 51 0 24 .4 7 85 1 20 .2 5 94 7 15 .3 4 01 7 10 .3 2 74 9 7. 1 1 51 2 3. 9 1 06 9 2. 7 38 9 70 10 0. 0 22 6 K ar st ul a 85 4 1. 2 9 00 5 12 .8 15 1 18 21 .4 15 1 06 21 .4 12 4 07 17 .6 8 40 4 11 .9 4 74 0 6. 7 2 90 3 4. 1 2 10 2 3. 0 70 6 40 10 0. 0 24 9 K eu ru u 1 19 8 1. 1 17 5 53 16 .5 24 5 20 23 .0 22 3 19 21 .0 16 8 91 15 .9 11 6 24 10 .9 6 52 2 6. 1 4 03 2 3. 8 1 74 0 1. 6 10 6 39 8 10 0. 0 25 6 K in nu la 55 5 1. 5 5 33 7 14 .3 7 87 7 21 .2 7 09 9 19 .1 6 02 0 16 .2 4 94 9 13 .3 2 63 8 7. 1 1 61 7 4. 3 1 13 4 3. 1 37 2 25 10 0. 0 26 5 K iv ijä rv i 79 0 1. 9 6 34 2 15 .3 9 25 5 22 .3 8 31 1 20 .1 6 42 8 15 .5 4 52 4 10 .9 2 66 1 6. 4 1 75 0 4. 2 1 36 4 3. 3 41 4 25 10 0. 0 27 5 K on ne ve si 81 7 1. 9 12 0 14 27 .2 11 8 71 26 .9 6 04 0 13 .7 4 95 1 11 .2 5 71 5 12 .9 2 02 7 4. 6 59 1 1. 3 14 4 0. 3 44 1 69 10 0. 0 29 1 K uh m oi ne n 79 3 1. 4 13 9 15 24 .6 13 2 27 23 .3 9 58 9 16 .9 8 67 0 15 .3 5 84 8 10 .3 2 59 2 4. 6 1 28 8 2. 3 74 2 1. 3 56 6 65 10 0. 0 31 2 K yy jä rv i 37 2 1. 1 3 96 9 11 .7 6 79 3 20 .0 8 30 9 24 .4 6 58 9 19 .4 3 52 2 10 .3 2 05 3 6. 0 1 49 9 4. 4 95 3 2. 8 34 0 59 10 0. 0 41 0 L au ka a 79 0 1. 6 14 9 11 30 .7 12 5 40 25 .8 7 08 4 14 .6 5 12 8 10 .6 5 01 4 10 .3 2 01 7 4. 2 68 0 1. 4 43 3 0. 9 48 5 97 10 0. 0 43 5 L uh an ka 14 2 0. 8 4 59 1 25 .7 4 20 4 23 .5 3 11 7 17 .4 2 70 8 15 .2 1 71 7 9. 6 78 1 4. 4 45 4 2. 5 15 9 0. 9 17 8 72 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 107 Ta bl e 4a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 49 5 M ul tia 78 0 1. 2 8 26 8 13 .0 14 3 30 22 .5 13 1 24 20 .6 10 7 62 16 .9 7 41 2 11 .7 4 75 6 7. 5 2 40 8 3. 8 1 79 3 2. 8 63 6 33 10 0. 0 50 0 M uu ra m e 15 1 1. 3 3 15 4 27 .7 2 91 1 25 .6 1 79 6 15 .8 1 51 7 13 .3 1 06 7 9. 4 44 7 3. 9 27 5 2. 4 73 0. 6 11 3 92 10 0. 0 59 2 P et äj äv es i 40 6 1. 1 10 2 13 27 .0 10 0 21 26 .5 6 49 4 17 .2 4 80 6 12 .7 3 94 8 10 .4 1 17 6 3. 1 43 0 1. 1 32 0 0. 9 37 8 15 10 0. 0 60 1 P ih tip ud as 89 8 1. 0 12 2 01 13 .8 17 9 89 20 .3 14 2 04 16 .0 19 9 63 22 .5 14 8 22 16 .7 5 30 2 6. 0 1 94 9 2. 2 1 32 2 1. 5 88 6 50 10 0. 0 72 9 S aa rij är vi 1 31 7 1. 3 16 8 73 16 .3 23 9 56 23 .2 20 6 60 20 .0 15 6 81 15 .2 11 3 18 11 .0 6 90 5 6. 7 3 83 7 3. 7 2 84 9 2. 8 10 3 39 5 10 0. 0 85 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4 77 3 2. 2 43 4 1. 2 35 7 37 10 0. 0 20 4 K aa vi 63 4 1. 1 10 9 47 18 .7 15 4 99 26 .5 10 7 76 18 .5 7 21 4 12 .4 6 77 6 11 .6 3 50 7 6. 0 1 70 8 2. 9 1 34 5 2. 3 58 4 06 10 0. 0 22 7 K ar ttu la 81 7 2. 0 10 5 83 25 .6 11 3 45 27 .4 6 21 8 15 .0 4 56 6 11 .0 4 73 0 11 .4 2 28 1 5. 5 58 5 1. 4 22 7 0. 6 41 3 51 10 0. 0 23 9 K ei te le 48 0 1. 2 9 48 5 23 .1 9 61 2 23 .4 7 14 9 17 .4 6 91 2 16 .8 4 59 3 11 .2 2 05 6 5. 0 57 6 1. 4 18 1 0. 4 41 0 44 10 0. 0 26 3 K iu ru ve si 1 39 8 1. 4 20 9 31 21 .3 22 1 37 22 .6 18 9 86 19 .4 15 3 24 15 .6 12 6 30 12 .9 5 07 3 5. 2 80 9 0. 8 83 4 0. 9 98 1 23 10 0. 0 29 7 K uo pi o 1 15 4 1. 3 21 1 50 23 .8 23 3 44 26 .3 14 7 74 16 .6 11 0 74 12 .5 9 39 9 10 .6 4 19 6 4. 7 2 49 1 2. 8 1 26 9 1. 4 88 8 51 10 0. 0 40 2 L ap in la ht i 61 9 1. 4 11 6 01 25 .3 12 6 93 27 .7 6 91 2 15 .1 5 76 5 12 .6 5 13 2 11 .2 2 24 4 4. 9 50 7 1. 1 30 3 0. 7 45 7 76 10 0. 0 42 0 L ep pä vi rta 1 37 8 1. 5 19 5 25 20 .7 26 8 45 28 .5 15 0 02 15 .9 10 4 94 11 .2 11 7 06 12 .4 6 01 5 6. 4 2 23 8 2. 4 93 0 1. 0 94 1 34 10 0. 0 47 6 M aa ni nk a 49 7 1. 5 9 13 1 26 .8 9 49 1 27 .9 4 72 0 13 .9 3 55 3 10 .4 3 67 1 10 .8 2 28 4 6. 7 57 7 1. 7 11 8 0. 4 34 0 41 10 0. 0 53 4 N ils iä 88 8 1. 6 13 6 29 24 .5 14 1 68 25 .4 9 14 5 16 .4 6 62 3 11 .9 6 43 3 11 .5 3 43 8 6. 2 1 02 1 1. 8 39 1 0. 7 55 7 36 10 0. 0 59 5 P ie la ve si 1 17 8 1. 3 19 2 04 20 .5 24 9 63 26 .7 16 3 84 17 .5 13 1 32 14 .0 12 0 00 12 .8 4 91 9 5. 3 1 27 9 1. 4 49 4 0. 5 93 5 54 10 0. 0 68 6 R au ta la m pi 66 9 1. 5 11 5 09 25 .6 12 1 23 26 .9 7 48 5 16 .6 4 76 1 10 .6 4 57 8 10 .2 2 57 0 5. 7 1 05 2 2. 3 25 7 0. 6 45 0 05 10 0. 0 68 7 R au ta va ar a 56 8 0. 6 11 1 40 11 .8 22 8 41 24 .1 20 8 46 22 .0 16 8 23 17 .7 12 7 60 13 .5 5 82 1 6. 1 2 00 7 2. 1 2 02 0 2. 1 94 8 26 10 0. 0 74 9 S iili nj är vi 54 7 2. 0 8 31 3 30 .7 7 16 2 26 .4 3 38 8 12 .5 2 76 3 10 .2 2 67 7 9. 9 1 58 4 5. 8 48 3 1. 8 19 9 0. 7 27 1 17 10 0. 0 76 2 S on ka jä rv i 1 02 9 0. 9 20 5 31 17 .5 28 6 75 24 .4 24 3 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13 7 53 19 .2 11 2 42 15 .7 8 89 2 12 .4 3 71 6 5. 2 1 03 5 1. 5 67 8 1. 0 71 6 00 10 0. 0 To ta l 17 7 01 1. 3 29 6 05 9 22 .1 34 5 38 2 25 .8 23 3 50 9 17 .4 17 7 31 2 13 .2 15 7 57 4 11 .8 73 2 73 5. 5 24 6 77 1. 8 13 3 54 1. 0 1 33 8 84 2 10 0. 0 Po hj oi s- Ka rja la 14 6 Il om an ts i 2 26 2 1. 0 28 1 58 12 .8 46 6 84 21 .3 59 1 97 27 .0 43 0 05 19 .6 18 6 37 8. 5 9 18 7 4. 2 4 87 0 2. 2 7 49 8 3. 4 21 9 49 8 10 0. 0 16 7 J oe ns uu 2 83 2 1. 4 43 3 73 21 .9 49 5 82 25 .0 40 9 68 20 .7 23 5 43 11 .9 18 0 92 9. 1 13 2 92 6. 7 4 29 4 2. 2 2 18 7 1. 1 19 8 16 2 10 0. 0 17 6 J uu ka 1 61 8 1. 3 23 2 35 18 .3 30 3 60 23 .9 29 8 93 23 .5 18 8 48 14 .8 10 9 38 8. 6 7 94 2 6. 3 2 44 1 1. 9 1 84 8 1. 5 12 7 12 4 10 0. 0 24 8 K es äl ah ti 48 1 1. 5 7 16 6 22 .4 8 93 8 28 .0 5 73 9 18 .0 4 17 2 13 .1 2 59 0 8. 1 1 81 6 5. 7 66 1 2. 1 37 9 1. 2 31 9 42 10 0. 0 26 0 K ite e 83 1 1. 2 17 0 80 25 .1 18 3 23 26 .9 11 9 23 17 .5 8 12 7 11 .9 5 64 7 8. 3 4 09 8 6. 0 1 51 1 2. 2 63 9 0. 9 68 1 78 10 0. 0 27 6 K on tio la ht i 1 04 2 1. 6 14 8 48 22 .2 16 5 42 24 .7 13 0 74 19 .5 9 02 7 13 .5 6 12 1 9. 1 4 00 2 6. 0 1 34 8 2. 0 94 0 1. 4 66 9 44 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 108 Ta bl e 4a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 30 9 O ut ok um pu 57 1 1. 6 8 57 3 24 .0 9 73 2 27 .3 6 52 1 18 .3 4 29 3 12 .0 3 47 7 9. 7 1 69 2 4. 7 60 4 1. 7 22 3 0. 6 35 6 85 10 0. 0 42 2 L ie ks a 3 73 8 1. 3 49 3 88 16 .9 67 8 80 23 .3 69 5 27 23 .8 46 1 92 15 .8 24 5 52 8. 4 12 4 68 4. 3 7 25 0 2. 5 10 7 33 3. 7 29 1 72 7 10 0. 0 42 6 L ip er i 96 4 1. 8 14 7 76 27 .8 14 2 49 26 .8 9 23 7 17 .4 5 39 8 10 .2 4 69 5 8. 8 2 39 9 4. 5 1 05 1 2. 0 33 7 0. 6 53 1 07 10 0. 0 54 1 N ur m es 1 39 8 1. 0 23 4 44 16 .9 36 1 08 26 .0 27 6 71 19 .9 18 7 52 13 .5 15 3 08 11 .0 6 77 7 4. 9 3 43 3 2. 5 6 12 7 4. 4 13 9 01 6 10 0. 0 60 7 P ol vi jä rv i 85 5 1. 4 14 4 99 23 .3 15 4 95 24 .9 12 3 95 19 .9 8 34 7 13 .4 6 02 2 9. 7 3 04 0 4. 9 1 14 9 1. 9 42 8 0. 7 62 2 31 10 0. 0 70 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15 9 50 4. 1 16 1 08 4. 1 35 9 28 9. 2 39 0 25 4 10 0. 0 57 8 P al ta m o 88 2 1. 1 13 2 49 17 .0 15 4 40 19 .8 17 7 18 22 .7 11 6 06 14 .9 7 81 0 10 .0 4 50 7 5. 8 2 56 2 3. 3 4 34 0 5. 6 78 1 13 10 0. 0 62 0 P uo la nk a 1 85 6 1. 0 32 1 03 16 .6 38 3 46 19 .8 42 8 40 22 .1 32 1 86 16 .6 16 4 48 8. 5 6 64 7 3. 4 4 75 6 2. 5 18 8 34 9. 7 19 4 01 6 10 0. 0 69 7 R is tij är vi 61 8 0. 9 10 9 84 15 .7 15 2 81 21 .9 18 9 26 27 .1 9 20 4 13 .2 4 94 9 7. 1 2 02 8 2. 9 2 30 9 3. 3 5 47 5 7. 9 69 7 72 10 0. 0 76 5 S ot ka m o 2 22 6 1. 0 34 1 66 15 .1 51 2 89 22 .7 49 4 59 21 .8 37 3 10 16 .5 22 1 84 9. 8 11 1 68 4. 9 7 09 2 3. 1 11 5 88 5. 1 22 6 47 9 10 0. 0 77 7 S uo m us sa lm i 4 62 5 1. 2 66 8 35 16 .7 90 7 79 22 .7 71 4 98 17 .9 62 0 72 15 .5 30 7 30 7. 7 15 9 09 4. 0 13 7 77 3. 5 43 5 92 10 .9 39 9 81 6 10 0. 0 78 5 V aa la 1 73 2 2. 0 11 4 69 13 .0 10 5 15 11 .9 22 2 55 25 .2 21 1 24 24 .0 10 7 55 12 .2 5 34 9 6. 1 2 87 0 3. 3 2 11 7 2. 4 88 1 86 10 0. 0 To ta l 17 9 07 1. 1 26 5 11 5 15 .5 36 0 92 4 21 .1 36 2 93 2 21 .3 28 4 15 2 16 .6 14 7 86 9 8. 7 72 4 39 4. 2 57 8 90 3. 4 13 8 60 0 8. 1 1 70 7 82 9 10 0. 0 Po hj oi s- Po hj an m aa 00 9 A la vi es ka 31 1 2. 0 2 55 0 16 .0 2 54 1 15 .9 3 12 2 19 .6 3 14 0 19 .7 2 11 6 13 .3 1 14 9 7. 2 56 9 3. 6 45 5 2. 9 15 9 52 10 0. 0 06 9 H aa pa jä rv i 54 3 0. 9 7 36 1 12 .6 9 29 4 15 .9 11 2 83 19 .3 14 6 29 25 .0 9 43 9 16 .2 3 60 9 6. 2 1 40 1 2. 4 87 6 1. 5 58 4 36 10 0. 0 07 1 H aa pa ve si 1 43 9 1. 9 10 6 24 13 .9 10 5 02 13 .8 13 9 91 18 .3 19 4 58 25 .5 12 6 53 16 .6 5 05 9 6. 6 1 69 1 2. 2 97 5 1. 3 76 3 92 10 0. 0 07 2 H ai lu ot o 46 3 3. 4 3 80 2 27 .5 1 93 2 14 .0 2 25 1 16 .3 2 07 0 15 .0 1 34 5 9. 7 1 17 6 8. 5 44 6 3. 2 31 9 2. 3 13 8 03 10 0. 0 08 4 H au ki pu da s 75 0 2. 5 4 80 9 15 .7 3 69 7 12 .1 6 62 8 21 .7 5 75 0 18 .8 4 20 5 13 .8 2 45 0 8. 0 1 41 7 4. 6 86 2 2. 8 30 5 68 10 0. 0 13 9 Ii 1 40 6 1. 4 14 0 30 13 .5 14 3 01 13 .8 23 6 25 22 .8 22 2 97 21 .5 14 3 58 13 .9 7 46 1 7. 2 3 38 1 3. 3 2 79 3 2. 7 10 3 65 1 10 0. 0 20 8 K al aj ok i 1 67 6 3. 7 6 99 2 15 .3 7 45 3 16 .3 10 2 37 22 .4 8 12 7 17 .8 5 26 8 11 .5 2 78 3 6. 1 1 94 4 4. 3 1 30 5 2. 9 45 7 87 10 0. 0 24 4 K em pe le 97 1. 6 1 07 6 18 .2 80 4 13 .6 1 21 8 20 .6 1 07 3 18 .1 88 8 15 .0 46 5 7. 9 21 8 3. 7 81 1. 4 5 91 9 10 0. 0 25 5 K iim in ki 41 0 1. 8 2 79 8 12 .2 2 77 2 12 .1 5 69 4 24 .8 4 38 6 19 .1 3 19 9 13 .9 1 95 2 8. 5 1 07 1 4. 7 68 2 3. 0 22 9 64 10 0. 0 30 5 K uu sa m o 2 47 0 0. 7 52 1 75 14 .8 57 7 91 16 .4 53 0 98 15 .1 54 3 51 15 .5 42 0 53 12 .0 19 8 74 5. 7 10 3 23 2. 9 59 4 85 16 .9 35 1 62 0 10 0. 0 31 7 K är sä m äk i 73 2 1. 4 5 40 2 10 .3 7 66 9 14 .7 10 7 58 20 .6 13 0 18 24 .9 9 60 0 18 .4 3 15 5 6. 0 1 36 8 2. 6 54 5 1. 0 52 2 47 10 0. 0 42 5 L im in ka 60 5 1. 6 5 59 8 14 .8 5 78 4 15 .3 8 56 6 22 .7 8 32 9 22 .1 4 63 4 12 .3 2 51 8 6. 7 95 5 2. 5 76 8 2. 0 37 7 59 10 0. 0 43 6 L um ijo ki 34 7 2. 7 2 54 9 20 .0 1 88 1 14 .7 2 63 3 20 .6 2 40 7 18 .8 1 55 7 12 .2 86 4 6. 8 35 4 2. 8 18 6 1. 5 12 7 78 10 0. 0 48 3 M er ijä rv i 43 8 2. 6 3 16 8 18 .5 2 34 9 13 .7 2 97 2 17 .4 3 76 7 22 .0 2 35 4 13 .8 1 33 4 7. 8 42 0 2. 5 30 4 1. 8 17 1 07 10 0. 0 49 4 M uh os 1 04 3 2. 1 7 16 9 14 .6 6 38 6 13 .0 11 8 26 24 .1 10 7 81 22 .0 5 74 5 11 .7 3 25 3 6. 6 1 59 0 3. 2 1 21 7 2. 5 49 0 11 10 0. 0 53 5 N iva la 47 0 1. 5 5 57 2 18 .3 5 01 5 16 .4 5 15 4 16 .9 6 42 6 21 .1 4 29 5 14 .1 1 98 7 6. 5 1 01 2 3. 3 60 0 2. 0 30 5 32 10 0. 0 56 3 O ul ai ne n 88 0 2. 0 8 58 9 19 .6 6 35 6 14 .5 6 75 5 15 .4 9 89 7 22 .6 6 43 1 14 .7 3 46 0 7. 9 77 0 1. 8 73 4 1. 7 43 8 71 10 0. 0 56 4 O ul u 1 16 4 1. 3 9 59 4 10 .5 10 7 09 11 .7 23 4 44 25 .7 19 5 13 21 .4 13 7 73 15 .1 6 81 6 7. 5 3 47 3 3. 8 2 78 7 3. 1 91 2 74 10 0. 0 56 7 O ul un sa lo 12 5 2. 5 1 08 5 21 .7 61 0 12 .2 98 2 19 .6 79 8 15 .9 64 3 12 .8 50 1 10 .0 18 5 3. 7 77 1. 5 5 00 5 10 0. 0 61 5 P ud as jä rv i 3 19 0 0. 9 46 7 98 12 .8 65 4 26 17 .8 84 9 36 23 .2 78 7 34 21 .5 36 8 38 10 .0 18 0 46 4. 9 7 64 9 2. 1 25 3 49 6. 9 36 6 96 6 10 0. 0 62 5 P yh äj ok i 98 8 2. 4 7 14 5 17 .3 7 04 1 17 .1 8 29 4 20 .1 7 47 7 18 .1 5 68 7 13 .8 2 57 3 6. 2 1 16 6 2. 8 86 1 2. 1 41 2 33 10 0. 0 62 6 P yh äs al m i 1 06 2 1. 0 13 7 52 13 .0 18 0 09 17 .0 20 0 63 18 .9 26 1 10 24 .6 17 4 74 16 .5 6 73 9 6. 4 1 73 3 1. 6 1 13 3 1. 1 10 6 07 6 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 109 Ta bl e 4a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 63 0 P yh än tä 60 6 1. 0 5 72 9 9. 8 7 87 4 13 .4 13 2 84 22 .6 15 4 32 26 .3 8 61 2 14 .7 4 18 2 7. 1 1 98 0 3. 4 1 01 1 1. 7 58 7 09 10 0. 0 67 8 R aa he 77 6 2. 0 6 74 4 17 .3 4 73 9 12 .1 7 77 4 19 .9 7 61 3 19 .5 5 76 2 14 .8 3 52 7 9. 0 1 24 6 3. 2 86 5 2. 2 39 0 46 10 0. 0 69 1 R ei sj är vi 59 3 1. 7 4 33 1 12 .6 5 84 4 16 .9 7 83 5 22 .7 6 90 6 20 .0 4 87 9 14 .1 2 21 6 6. 4 1 31 9 3. 8 60 0 1. 7 34 5 23 10 0. 0 74 6 S ie vi 1 21 2 2. 2 7 28 8 13 .5 8 97 5 16 .6 12 2 07 22 .5 10 2 02 18 .8 7 17 9 13 .3 3 43 8 6. 4 2 49 8 4. 6 1 17 2 2. 2 54 1 70 10 0. 0 74 8 S iik aj ok i 1 97 3 2. 8 11 6 66 16 .8 8 50 0 12 .2 14 7 44 21 .2 14 9 14 21 .5 9 24 2 13 .3 5 18 7 7. 5 1 96 7 2. 8 1 32 2 1. 9 69 5 15 10 0. 0 79 1 S iik al at va 2 16 7 1. 4 16 1 39 10 .4 19 7 91 12 .8 33 6 10 21 .7 40 0 84 25 .9 24 5 88 15 .9 11 7 27 7. 6 4 05 5 2. 6 2 80 3 1. 8 15 4 96 3 10 0. 0 83 2 Ta iva lko sk i 2 16 1 1. 2 27 2 73 15 .3 35 1 65 19 .8 32 4 14 18 .2 28 4 16 16 .0 13 8 76 7. 8 7 74 8 4. 4 4 48 2 2. 5 26 2 03 14 .7 17 7 73 9 10 0. 0 85 9 Ty rn äv ä 65 1 2. 3 4 06 9 14 .4 3 81 5 13 .5 6 48 7 23 .0 6 29 6 22 .3 3 42 4 12 .1 1 92 2 6. 8 83 1 2. 9 73 3 2. 6 28 2 27 10 0. 0 88 9 U ta jä rv i 1 62 1 1. 5 11 6 82 10 .9 12 9 64 12 .1 29 3 05 27 .4 26 9 18 25 .2 12 0 27 11 .2 6 29 8 5. 9 3 54 9 3. 3 2 60 6 2. 4 10 6 97 0 10 0. 0 92 6 V ih an ti 70 4 2. 0 5 01 0 14 .4 3 89 4 11 .2 6 97 9 20 .1 8 33 4 24 .0 5 29 7 15 .2 2 85 7 8. 2 1 06 9 3. 1 63 5 1. 8 34 7 80 10 0. 0 97 2 Y li- Ii 54 7 1. 1 5 54 2 11 .0 6 74 1 13 .4 12 5 74 25 .0 12 6 67 25 .2 5 82 3 11 .6 3 22 1 6. 4 1 48 9 3. 0 1 68 8 3. 4 50 2 93 10 0. 0 97 7 Y liv ie sk a 58 5 1. 4 6 91 6 17 .0 6 18 4 15 .2 6 88 4 16 .9 9 12 7 22 .5 5 96 3 14 .7 2 85 1 7. 0 1 20 9 3. 0 91 6 2. 3 40 6 35 10 0. 0 To ta l 34 2 08 1. 4 33 5 02 4 13 .8 37 2 80 5 15 .4 50 1 62 9 20 .7 50 9 44 7 21 .0 31 1 22 9 12 .8 15 2 39 6 6. 3 68 8 31 2. 8 14 2 95 1 5. 9 2 42 8 52 0 10 0. 0 La pl an d 04 7 E no nt ek iö 59 5 0. 6 7 00 2 7. 5 4 08 1 4. 4 7 76 2 8. 3 14 0 26 15 .1 18 5 08 19 .9 4 61 5 5. 0 2 19 9 2. 4 34 3 25 36 .9 93 1 12 10 0. 0 14 8 In ar i 93 9 0. 1 25 9 40 3. 6 36 7 14 5. 1 77 4 13 10 .9 12 8 66 0 18 .0 89 1 26 12 .5 24 8 41 3. 5 11 6 52 1. 6 31 8 42 3 44 .6 71 3 70 8 10 0. 0 24 0 K em i 14 8 2. 4 1 27 5 20 .3 1 34 4 21 .4 1 05 8 16 .8 79 1 12 .6 42 4 6. 7 56 9 9. 0 50 4 8. 0 17 9 2. 8 6 29 1 10 0. 0 24 1 K em in m aa 68 0 1. 6 6 03 7 14 .2 7 12 6 16 .7 8 90 4 20 .9 8 39 3 19 .7 4 30 6 10 .1 2 30 5 5. 4 2 22 4 5. 2 2 59 8 6. 1 42 5 73 10 0. 0 26 1 K itt ilä 3 83 7 0. 8 61 9 39 13 .2 56 1 54 11 .9 64 2 51 13 .7 82 9 10 17 .6 75 8 28 16 .1 16 6 43 3. 5 8 73 3 1. 9 10 0 00 3 21 .3 47 0 29 8 10 0. 0 27 3 K ol ar i 1 38 0 0. 8 20 2 33 11 .7 26 0 26 15 .1 29 2 16 16 .9 35 4 17 20 .5 27 9 84 16 .2 8 42 1 4. 9 4 47 0 2. 6 19 6 85 11 .4 17 2 83 1 10 0. 0 32 0 K em ijä rv i 1 27 1 0. 5 30 3 51 12 .2 30 2 76 12 .2 49 4 13 19 .9 60 0 10 24 .1 32 2 82 13 .0 11 1 91 4. 5 4 01 8 1. 6 30 1 11 12 .1 24 8 92 1 10 0. 0 49 8 M uo ni o 2 07 8 1. 6 13 8 19 10 .9 19 5 72 15 .4 9 99 3 7. 9 15 1 63 11 .9 12 1 17 9. 5 9 62 9 7. 6 8 55 2 6. 7 36 0 64 28 .4 12 6 98 7 10 0. 0 58 3 P el ko se nn ie m i 34 9 0. 3 16 7 57 14 .3 23 3 91 20 .0 22 5 51 19 .3 19 0 52 16 .3 11 6 02 9. 9 3 73 2 3. 2 2 53 8 2. 2 16 9 92 14 .5 11 6 96 6 10 0. 0 61 4 P os io 1 71 1 0. 8 30 1 41 14 .9 28 7 78 14 .2 30 1 89 14 .9 42 9 18 21 .2 24 4 78 12 .1 9 35 7 4. 6 4 39 1 2. 2 30 7 88 15 .2 20 2 74 9 10 0. 0 68 3 R an ua 1 46 4 0. 7 28 7 18 13 .6 42 2 67 20 .0 44 6 24 21 .2 48 0 80 22 .8 19 8 40 9. 4 9 24 0 4. 4 4 30 0 2. 0 12 4 81 5. 9 21 1 01 4 10 0. 0 69 8 R ov an ie m i 4 46 8 0. 8 82 9 97 15 .3 79 4 68 14 .7 10 2 84 8 19 .0 11 9 32 1 22 .0 57 3 35 10 .6 22 4 37 4. 1 10 0 31 1. 9 62 9 44 11 .6 54 1 84 8 10 0. 0 73 2 S al la 2 53 8 0. 7 48 2 20 13 .3 63 5 07 17 .6 54 1 75 15 .0 53 9 92 14 .9 30 1 56 8. 3 10 0 39 2. 8 7 57 5 2. 1 91 6 20 25 .3 36 1 82 1 10 0. 0 74 2 S av uk os ki 3 17 2 0. 7 67 2 70 15 .4 47 2 77 10 .8 56 2 89 12 .9 74 8 67 17 .2 52 9 23 12 .1 16 4 49 3. 8 9 69 1 2. 2 10 8 11 8 24 .8 43 6 05 8 10 0. 0 75 1 S im o 89 5 1. 1 10 5 13 12 .3 13 6 49 16 .0 18 7 85 22 .0 20 0 38 23 .4 10 1 35 11 .9 4 37 4 5. 1 2 47 9 2. 9 4 62 8 5. 4 85 4 98 10 0. 0 75 8 S od an ky lä 5 20 1 0. 8 10 8 68 6 16 .2 71 4 50 10 .7 79 1 97 11 .8 10 9 14 0 16 .3 90 3 75 13 .5 19 3 75 2. 9 8 35 2 1. 3 17 7 99 4 26 .6 66 9 77 0 10 0. 0 84 5 Te rv ol a 1 39 7 1. 3 16 4 18 15 .3 16 0 79 15 .0 22 2 91 20 .8 21 8 26 20 .3 13 7 07 12 .8 4 50 6 4. 2 2 17 4 2. 0 9 05 0 8. 4 10 7 44 8 10 0. 0 85 1 To rn io 65 5 0. 8 13 7 24 17 .4 10 9 18 13 .8 16 9 86 21 .5 14 1 64 17 .9 8 62 5 10 .9 3 82 7 4. 9 4 38 1 5. 6 5 70 3 7. 2 78 9 81 10 0. 0 85 4 P el lo 1 13 7 0. 8 17 9 85 13 .3 23 6 32 17 .4 33 4 83 24 .7 27 5 47 20 .3 12 3 45 9. 1 2 08 4 1. 5 1 64 9 1. 2 15 6 74 11 .6 13 5 53 7 10 0. 0 89 0 U ts jo ki 0 0. 0 16 0 2. 5 18 0. 3 2 25 1 35 .7 2 80 2 44 .5 11 1 1. 8 10 8 1. 7 18 3 2. 9 66 6 10 .6 6 29 9 10 0. 0 97 6 Y lit or ni o 1 54 3 1. 1 22 7 79 16 .1 22 7 58 16 .1 37 4 75 26 .5 25 7 85 18 .2 11 8 24 8. 4 5 01 9 3. 6 2 29 2 1. 6 11 9 50 8. 5 14 1 42 5 10 0. 0 To ta l 35 4 58 0. 7 63 0 96 4 12 .7 62 4 48 1 12 .6 76 9 15 2 15 .5 92 4 90 2 18 .6 60 4 03 4 12 .2 18 8 76 0 3. 8 10 2 38 7 2. 1 1 08 9 99 6 21 .9 4 97 0 13 5 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 110 Table 4b. The mean volume of growing stock in age classes on forest land by forestry centres. Forestry centre Open regeneration site 1-20 yrs 21-40 yrs 41-60 yrs 61-80 yrs 81-100 yrs 101-120 yrs 121-140 yrs 141+ yrs Forest land total Municipality m3/ha Åland 035 Brändö 2.8 30.5 86.7 125.7 229.2 174.5 167.0 198.9 244.4 128.4 043 Eckerö 7.8 35.7 116.0 187.9 219.5 212.1 178.1 219.2 262.0 153.4 060 Finström 5.1 36.6 114.9 198.5 232.1 213.9 190.2 227.6 258.4 154.8 062 Föglö 2.9 33.1 104.6 163.8 221.8 196.3 184.1 200.4 242.5 151.7 065 Geta 5.6 32.2 107.5 173.6 211.4 202.3 169.8 183.5 239.8 149.4 076 Hammarland 6.1 35.8 117.5 191.0 226.7 211.6 181.8 216.1 256.9 153.7 170 Jomala 4.5 33.6 114.9 194.1 227.0 215.8 182.6 233.2 264.9 149.4 295 Kumlinge 2.9 28.5 73.1 108.6 218.5 216.3 94.7 221.0 248.3 131.5 318 Kökar 1.9 9.6 25.6 157.7 98.6 144.9 114.4 277.6 301.5 131.6 417 Lemland 4.8 36.2 118.2 195.4 225.8 214.7 190.0 230.9 260.2 153.5 438 Lumparland 2.6 36.2 111.4 177.2 216.7 204.4 189.6 209.6 259.7 157.5 478 Mariehamn-Maarianhamina 4.5 33.4 102.9 176.3 200.0 176.9 168.3 181.2 304.7 123.6 736 Saltvik 4.5 34.7 111.9 179.7 216.2 204.6 177.9 204.5 249.3 158.7 766 Sottunga 0.0 28.3 95.1 137.2 222.4 189.1 167.7 189.0 204.0 136.4 771 Sund 5.1 35.9 113.2 182.8 216.0 213.7 183.0 209.3 252.2 156.3 941 Vårdö 4.2 34.8 109.3 167.6 210.8 202.4 177.4 192.3 244.2 157.0 Total 5.0 34.7 110.9 179.0 219.6 207.3 175.3 211.6 252.7 151.6 Rannikko/Etelärannikko 049 Espoo-Esbo 18.4 31.2 118.0 176.7 217.6 246.5 215.8 207.6 188.4 158.8 078 Hanko-Hangö 24.1 45.6 110.3 148.6 194.9 234.8 214.4 224.0 165.2 164.6 091 Helsinki-Helsingfors 8.7 23.1 112.1 177.5 216.2 266.3 231.0 264.9 185.3 148.0 092 Vantaa-Vanda 21.0 26.9 118.6 198.5 227.2 268.4 220.3 244.4 212.6 150.6 149 Ingå-Inkoo 11.0 29.3 113.7 171.8 226.2 224.5 204.7 193.4 206.7 146.5 235 Kauniainen-Grankulla 17.5 29.6 116.8 175.5 207.7 237.4 207.2 184.5 187.4 154.6 257 Kirkkonummi-Kyrkslätt 9.7 27.6 114.8 167.5 207.1 228.4 200.9 193.8 177.9 139.7 322 Kemiönsaari 7.5 28.6 108.7 148.4 182.4 212.0 186.4 210.7 156.9 145.9 407 Lapinjärvi-Lappträsk 14.5 35.6 124.2 184.6 234.0 244.3 241.3 215.0 172.0 168.1 424 Liljendal 13.8 31.1 122.5 183.6 227.2 241.6 223.9 224.6 186.3 162.8 434 Loviisa-Lovisa 4.5 31.6 116.7 185.1 221.3 239.8 250.2 230.0 193.9 172.5 444 Länsi-Turunmaa 8.1 33.4 107.7 149.6 182.4 208.8 177.7 197.1 170.9 137.7 585 Pernå-Pernaja 8.4 29.9 121.0 182.9 224.4 243.6 237.1 231.0 194.4 164.3 638 Porvoo-Borgå 11.5 32.3 123.5 184.9 228.4 248.4 236.5 222.1 197.1 166.2 701 Ruotsinpyhtää-Strömfors 10.9 31.6 123.7 186.5 223.2 231.6 237.6 205.9 184.3 160.2 710 Raasepori 12.6 34.1 115.1 161.4 208.1 231.5 208.0 225.7 172.3 162.2 753 Sipoo-Sibbo 17.7 33.6 120.9 189.9 238.4 270.3 230.4 253.6 216.4 175.2 755 Siuntio-Sjundeå 12.5 27.6 124.6 175.1 227.4 231.4 208.2 164.1 187.4 133.9 Total 11.0 31.2 117.0 170.7 211.5 233.2 209.7 214.7 183.9 155.5 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 12.5 19.6 81.1 154.3 172.4 184.7 169.2 151.9 208.9 87.6 280 Korsnäs 8.1 22.7 98.3 121.9 162.6 178.2 188.8 183.3 210.6 113.7 287 Kristinestad-Kristiinankaupunki 4.6 17.8 92.3 121.6 156.6 161.2 190.4 171.9 171.9 109.8 288 Kronoby-Kruunupyy 6.5 16.5 88.2 121.7 140.1 154.2 166.1 167.0 181.8 105.4 440 Larsmo-Luoto 15.3 16.8 89.5 131.6 165.3 167.4 176.9 218.6 202.5 102.7 475 Malax-Maalahti 7.5 23.2 95.8 117.3 153.6 170.2 184.7 177.2 202.7 113.2 499 Korsholm-Mustasaari 7.7 20.8 110.4 121.6 154.7 208.5 189.2 191.0 195.0 125.8 545 Närpes-Närpiö 5.9 19.0 92.4 120.6 153.8 157.2 176.6 182.2 167.5 108.4 559 Oravais-Oravainen 8.6 22.1 95.4 137.1 153.4 168.2 168.2 168.8 172.6 104.9 598 Jakobstad-Pietarsaari 6.3 21.4 85.0 135.6 155.2 165.8 145.2 143.2 189.6 98.2 599 Pedersöre-Pedersören kunta 7.9 17.5 86.7 125.2 142.1 150.1 164.5 163.7 184.8 105.3 893 Nykarleby-Uusikaarlepyy 11.1 22.4 92.6 124.5 146.7 163.2 159.0 170.7 162.3 110.9 905 Vaasa-Vasa 11.4 23.4 103.7 122.2 169.3 228.0 207.2 206.8 240.1 135.8 945 Vörå-Maxmo Vöyri-Maksamaa 7.3 22.2 99.5 128.8 156.3 180.8 179.5 174.7 183.4 111.9 Total 7.6 19.9 94.9 123.5 151.6 168.5 178.4 177.1 185.7 111.5 Lounais-Suomi 019 Aura 12.5 30.7 111.9 163.0 201.6 224.7 202.9 219.2 164.8 144.2 050 Eura 39.1 36.0 107.3 152.6 178.7 209.4 199.7 190.1 103.8 139.9 051 Eurajoki 0.0 29.6 113.3 162.5 174.6 193.0 208.2 192.6 169.2 135.5 079 Harjavalta 0.0 37.7 127.6 161.9 173.9 148.5 205.9 202.8 86.6 135.1 099 Honkajoki 1.0 16.5 73.3 97.2 123.2 133.1 143.0 129.2 148.1 91.2 102 Huittinen 28.7 34.5 135.6 173.3 187.2 214.5 235.7 211.8 103.7 141.2 181 Jämijärvi 1.8 17.7 95.0 114.4 164.2 164.9 187.0 150.4 161.4 110.5 202 Kaarina 10.0 30.3 113.3 162.0 195.4 225.1 190.0 217.1 153.4 138.7 214 Kankaanpää 2.0 16.3 84.7 108.6 153.4 147.2 167.4 152.1 153.5 104.5 230 Karvia 1.2 15.7 76.9 97.4 125.9 131.0 159.3 140.9 140.6 94.5 254 Kiikoinen 0.2 23.6 114.7 152.2 197.5 220.3 189.0 202.3 158.5 130.5 271 Kokemäki 3.6 33.7 122.4 148.1 187.4 185.2 202.5 174.9 138.9 131.0 284 Koski T.l. 11.2 42.9 114.0 188.8 219.4 229.5 329.8 302.2 345.5 158.1 304 Kustavi 7.2 28.3 97.9 140.0 163.0 181.1 171.0 173.4 157.1 115.8 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 111 Table 4b. Continued Forestry centre Open regeneration site 1-20 yrs 21-40 yrs 41-60 yrs 61-80 yrs 81-100 yrs 101-120 yrs 121-140 yrs 141+ yrs Forest land total Municipality m3/ha 319 Köyliö 0.0 32.1 128.5 130.3 172.5 183.7 245.8 178.4 102.3 139.3 400 Laitila 21.7 29.3 97.1 144.2 163.0 201.9 174.5 179.7 91.7 129.0 413 Lavia 1.6 26.2 107.8 148.5 178.1 206.3 201.2 232.4 135.7 133.3 423 Lieto 9.5 31.3 114.5 161.4 196.0 221.4 199.5 225.8 154.0 150.5 430 Loimaa 8.0 31.7 120.3 177.9 206.9 221.1 279.5 213.2 140.2 152.7 442 Luvia 2.2 37.7 126.2 194.5 215.6 222.4 257.5 178.3 149.8 162.3 480 Marttila 12.3 31.0 112.2 162.0 197.2 218.8 215.2 211.7 159.9 145.4 481 Masku 7.4 26.1 109.9 155.0 186.4 212.0 189.5 203.9 159.1 131.4 484 Merikarvia 3.1 19.2 89.3 133.2 180.0 173.4 205.9 200.3 204.3 124.5 503 Mynämäki 12.1 32.7 110.3 152.1 176.4 199.2 197.6 191.5 127.0 138.6 529 Naantali 6.9 30.2 102.2 144.6 172.7 201.7 175.1 193.0 171.1 131.1 531 Nakkila 0.0 33.7 118.3 181.6 212.5 206.7 223.4 213.2 87.6 143.7 537 Noormarkku 6.5 33.7 113.7 160.7 200.9 201.2 197.7 221.6 152.2 141.8 538 Nousiainen 8.5 30.0 111.2 155.8 189.3 211.0 204.1 213.1 150.7 145.5 561 Oripää 4.4 27.0 108.9 150.2 181.9 200.8 211.7 205.6 150.1 141.0 577 Paimio 10.8 29.7 115.0 157.5 197.6 221.0 190.8 221.9 160.5 148.4 608 Pomarkku 8.5 29.5 106.6 159.9 192.3 211.6 211.3 202.7 195.3 148.6 609 Pori 11.6 33.8 124.4 188.8 223.3 214.1 217.1 191.7 158.6 149.2 631 Pyhäranta 9.9 28.0 108.1 148.0 201.6 229.2 153.5 173.1 47.6 142.7 636 Pöytyä 14.3 33.2 111.2 152.6 185.1 206.8 205.2 206.3 138.7 147.0 680 Raisio 12.0 27.8 109.9 152.7 185.0 215.8 188.9 202.5 163.0 131.8 684 Rauma 13.3 28.4 95.1 144.1 193.5 204.9 165.4 187.1 52.7 136.0 704 Rusko 11.9 32.3 115.1 159.3 188.2 213.0 198.2 210.3 152.0 148.3 734 Salo 10.4 32.4 115.3 160.7 201.7 225.2 205.5 215.9 159.7 155.4 738 Sauvo 9.1 29.8 112.8 158.5 186.7 217.8 185.6 198.7 157.2 141.0 747 Siikainen 3.0 20.2 88.2 123.8 169.9 165.2 186.6 195.0 179.4 122.0 761 Somero 32.4 34.9 107.0 179.1 211.9 235.1 232.2 262.9 256.1 147.4 783 Säkylä 13.7 32.0 90.3 137.1 158.6 196.7 209.3 179.7 106.7 128.8 833 Taivassalo 4.7 27.6 101.4 147.0 168.2 190.0 172.4 176.6 153.6 119.5 838 Tarvasjoki 9.4 32.1 117.2 167.0 206.0 231.6 200.9 216.8 172.6 150.7 853 Turku-Åbo 12.2 30.0 111.8 160.3 193.4 218.7 190.7 205.2 164.9 135.6 886 Ulvila 0.0 36.4 118.5 155.7 198.1 197.0 199.0 201.3 129.6 139.0 895 Uusikaupunki 3.0 31.4 104.1 149.5 168.8 196.2 176.0 175.1 136.2 124.9 918 Vehmaa 8.3 27.7 102.2 151.1 168.1 191.2 174.4 173.7 129.5 117.9 Total 8.7 29.3 108.2 150.3 183.9 198.7 198.4 192.3 156.0 135.6 Häme-Uusimaa 015 Artjärvi 18.6 32.1 124.1 182.0 243.6 255.1 258.4 235.9 210.4 156.6 016 Asikkala 14.4 29.2 120.3 188.4 223.7 265.9 272.5 226.9 188.9 155.8 018 Askola 16.2 29.7 125.9 191.9 234.7 255.2 230.8 231.3 212.9 161.3 061 Forssa 41.9 29.4 108.7 173.6 228.8 260.4 228.8 284.6 225.5 158.9 081 Hartola 19.3 29.7 132.3 195.3 233.8 229.2 266.5 191.7 252.8 155.7 082 Hattula 12.5 27.8 118.6 176.6 209.9 229.8 216.3 232.8 179.5 139.8 086 Hausjärvi 27.4 24.2 117.4 173.2 224.3 268.2 208.9 191.9 318.4 141.7 098 Hollola 25.8 30.0 110.8 173.6 233.4 273.0 255.9 202.7 292.8 149.1 103 Humppila 10.2 30.4 104.0 227.6 215.0 238.8 288.9 221.7 197.9 169.1 106 Hyvinkää 24.2 25.4 119.5 175.3 219.1 239.5 203.2 187.0 236.9 144.5 109 Hämeenlinna 19.2 27.2 115.9 180.0 224.5 255.8 235.0 251.4 229.8 153.3 111 Heinola 20.0 29.8 121.5 167.7 222.6 242.8 268.4 220.6 239.5 151.2 165 Janakkala 14.2 25.4 125.0 178.4 217.9 251.3 227.6 218.7 229.4 149.7 169 Jokioinen 17.0 28.0 104.5 201.7 230.0 252.8 200.0 292.6 187.5 144.6 186 Järvenpää 22.0 24.6 129.5 191.1 229.1 254.6 257.7 228.8 214.2 135.2 223 Karjalohja 14.9 31.8 118.6 179.0 250.5 225.8 223.3 171.4 196.8 132.0 224 Karkkila 15.8 29.8 123.7 185.5 228.6 258.9 244.4 227.8 204.6 157.8 245 Kerava 19.8 25.3 126.7 192.3 228.4 248.9 215.6 233.6 210.8 142.2 283 Hämeenkoski 32.8 27.3 110.5 186.0 237.2 265.8 258.6 229.9 329.6 147.1 316 Kärkölä 33.9 26.2 101.3 174.8 226.1 278.4 243.5 169.5 282.0 138.9 398 Lahti 10.1 32.4 113.0 165.1 236.3 259.9 258.2 184.9 232.4 136.8 433 Loppi 12.8 25.6 117.0 173.2 211.1 237.2 225.3 220.2 170.1 144.4 444 Lohja 17.4 29.2 122.3 178.1 244.6 228.4 228.6 165.7 224.5 128.4 504 Myrskylä-Mörskom 17.5 32.7 125.8 186.4 236.5 253.8 232.3 230.0 206.0 161.5 505 Mäntsälä 35.4 26.1 111.8 179.8 230.8 270.9 240.6 199.3 336.4 153.3 532 Nastola 14.3 31.5 115.9 173.7 242.9 264.6 241.7 157.9 209.6 147.6 540 Nummi-Pusula 14.6 29.8 118.3 180.0 239.5 232.9 227.3 181.0 213.7 139.8 543 Nurmijärvi 18.9 26.8 122.9 181.8 231.5 239.0 210.5 205.7 189.7 131.0 560 Orimattila 26.7 28.2 111.4 170.7 228.6 257.8 245.4 191.6 258.3 136.2 576 Padasjoki 16.0 29.8 120.2 181.7 212.3 261.6 244.6 236.1 190.6 159.9 611 Pornainen 19.1 32.2 126.7 186.5 228.9 245.5 222.8 214.8 206.7 158.6 616 Pukkila 18.9 31.9 128.0 187.3 234.2 255.1 229.1 229.5 201.3 153.3 694 Riihimäki 19.9 23.9 126.7 184.6 222.8 237.1 235.3 197.3 225.7 136.3 781 Sysmä 11.8 28.4 132.0 195.8 235.9 252.0 309.7 191.7 222.6 161.8 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 112 Table 4b. Continued Forestry centre Open regeneration site 1-20 yrs 21-40 yrs 41-60 yrs 61-80 yrs 81-100 yrs 101-120 yrs 121-140 yrs 141+ yrs Forest land total Municipality m3/ha 834 Tammela 16.2 34.7 108.3 169.9 223.2 246.7 222.0 310.6 203.5 159.9 858 Tuusula 19.1 27.4 126.3 196.7 242.1 254.8 239.9 248.5 221.5 147.3 927 Vihti 19.4 30.6 124.3 181.0 228.2 246.7 226.7 197.7 204.3 150.9 981 Ypäjä 18.2 29.9 104.1 215.9 221.2 244.8 271.3 258.2 197.2 162.4 Total 19.4 28.5 118.9 180.4 226.7 251.6 244.2 220.3 220.3 150.6 Kaakkois-Suomi 075 Hamina 9.2 22.8 120.6 159.7 201.9 222.7 224.0 278.5 269.4 131.5 142 Iitti 17.1 30.2 123.1 173.1 229.7 248.3 271.7 216.8 229.5 157.4 153 Imatra 22.4 24.2 136.8 193.7 227.3 267.0 270.7 260.7 224.4 149.7 285 Kotka 9.8 23.3 115.2 153.8 201.4 218.3 213.1 226.0 223.4 118.8 286 Kouvola 14.5 27.2 121.5 165.7 215.9 234.3 247.7 228.6 272.3 149.7 405 Lappeenranta 12.4 21.6 124.9 168.1 211.0 236.6 242.6 280.6 279.2 135.1 416 Lemi 4.1 21.9 126.9 170.4 214.7 241.9 255.8 273.7 323.0 132.1 441 Luumäki 10.2 22.2 116.9 156.3 191.7 228.5 234.4 301.2 250.6 136.3 489 Miehikkälä 7.7 22.7 118.9 155.5 208.3 225.8 226.2 252.4 297.7 137.7 580 Parikkala 12.7 32.3 139.9 195.2 219.2 240.5 264.0 229.2 282.3 139.0 624 Pyhtää-Pyttis 14.3 35.2 125.2 180.2 227.9 236.0 231.4 205.9 185.9 162.3 689 Rautjärvi 32.7 29.9 139.4 188.6 227.9 242.5 272.9 264.2 253.8 147.4 700 Ruokolahti 13.8 28.0 132.3 170.9 200.9 222.6 242.6 222.2 296.5 142.2 739 Savitaipale 2.4 23.0 125.9 165.2 197.1 215.6 241.1 220.2 262.2 129.3 775 Suomenniemi 9.3 25.4 125.2 162.2 202.2 211.5 239.3 201.4 247.0 139.5 831 Taipalsaari 1.6 24.7 130.6 168.1 191.2 214.3 224.9 156.3 247.0 133.5 935 Virolahti 6.5 22.1 117.8 150.7 206.7 228.1 220.3 268.6 270.9 132.6 978 Ylämaa 9.0 24.3 119.8 158.1 207.6 222.8 235.4 264.6 302.9 142.7 Total 11.7 25.6 125.4 167.3 210.4 230.4 242.0 239.9 266.9 141.2 Pirkanmaa 020 Akaa 14.0 28.6 115.6 170.7 218.8 249.5 223.9 247.8 226.3 136.4 108 Hämeenkyrö 8.4 31.1 109.7 181.5 212.6 221.9 221.1 211.6 166.6 139.0 143 Ikaalinen 4.4 26.5 104.0 149.2 185.0 197.0 204.3 193.7 176.5 126.7 177 Juupajoki 8.0 25.8 107.4 173.8 208.4 230.9 235.2 204.3 188.5 143.1 211 Kangasala 7.5 33.1 117.9 176.6 211.2 229.0 220.7 183.5 209.4 142.1 250 Kihniö 1.8 19.8 100.8 113.8 147.3 146.8 178.6 178.9 160.6 116.6 289 Kuhmalahti 11.4 26.9 117.0 176.6 206.6 243.7 226.3 218.7 158.2 137.5 310 Kylmäkoski 40.9 31.4 112.3 167.5 227.4 243.3 181.9 323.1 238.4 148.3 418 Lempäälä 3.9 30.8 128.7 196.9 216.5 231.4 204.6 223.7 248.7 147.2 508 Mänttä-Vilppula 7.9 29.6 117.3 179.8 216.9 241.8 237.5 237.9 193.1 154.3 536 Nokia 2.9 34.1 106.1 192.2 202.4 229.2 241.0 202.1 185.0 142.5 562 Orivesi 8.3 28.1 111.8 181.5 216.1 242.9 237.0 217.4 199.3 149.0 581 Parkano 2.3 17.7 95.6 106.7 145.0 149.6 168.8 178.9 163.1 111.3 604 Pirkkala 2.7 27.2 127.4 203.9 227.8 239.4 202.9 209.6 234.4 143.3 619 Punkalaidun 23.6 31.7 109.8 185.5 229.8 251.7 276.0 229.7 164.8 160.0 635 Pälkäne 18.2 29.5 129.8 189.5 229.8 253.8 242.3 233.1 251.0 161.1 702 Ruovesi 5.3 28.1 113.4 172.6 206.8 231.5 227.9 213.5 200.3 151.7 790 Sastamala 30.0 33.2 120.2 172.9 196.2 205.6 217.9 207.1 198.9 138.6 837 Tampere 9.7 30.6 115.8 182.9 218.7 242.5 239.9 216.2 210.7 154.0 887 Urjala 31.3 32.1 109.0 204.8 226.7 236.8 235.0 243.9 183.9 158.2 908 Valkeakoski 6.7 32.5 124.3 180.7 221.3 247.3 220.2 260.1 213.6 150.5 922 Vesilahti 10.4 30.0 109.0 171.6 214.9 248.6 221.4 247.1 219.2 148.4 936 Virrat 1.2 16.9 102.1 128.1 158.7 174.7 199.2 208.9 176.2 124.5 980 Ylöjärvi 5.9 28.6 110.5 158.9 193.3 213.3 213.3 213.8 180.6 142.4 Total 9.7 27.8 112.0 164.0 196.2 214.3 214.2 209.9 187.3 140.3 Etelä-Savo 046 Enonkoski 19.6 27.9 132.6 182.5 227.3 243.3 266.8 253.3 233.2 142.9 090 Heinävesi 16.7 25.3 117.2 172.6 216.5 245.2 264.2 277.1 168.0 137.4 097 Hirvensalmi 20.7 34.8 127.6 177.0 222.3 247.3 280.9 236.8 276.3 154.0 171 Joroinen 7.6 25.3 117.4 151.3 202.7 238.1 258.6 221.9 233.1 135.0 178 Juva 22.7 26.5 119.5 157.2 209.6 231.9 266.7 221.2 252.9 141.9 213 Kangasniemi 52.8 26.0 116.9 150.0 203.8 225.3 259.7 222.6 160.5 130.7 246 Kerimäki 14.5 32.3 134.3 180.5 216.8 236.7 262.5 231.0 311.8 140.8 491 Mikkeli 22.5 28.1 119.1 162.5 217.1 238.3 260.5 226.6 269.1 139.7 507 Mäntyharju 14.3 28.8 124.4 165.6 209.1 226.8 247.8 221.1 271.2 145.1 588 Pertunmaa 27.6 33.0 127.0 179.0 220.7 252.9 282.9 244.0 667.7 147.5 593 Pieksämäki 14.4 23.4 113.4 151.7 185.1 205.6 230.9 218.5 203.2 128.3 618 Punkaharju 5.3 33.9 134.8 189.8 224.1 240.6 284.4 258.0 368.4 150.3 623 Puumala 1.1 25.6 134.7 163.4 212.1 217.5 217.4 153.0 161.5 136.3 681 Rantasalmi 17.7 27.4 128.3 180.0 214.8 226.3 263.1 244.3 271.3 133.0 696 Ristiina 17.6 28.9 125.3 170.8 223.8 240.3 255.1 233.2 241.5 149.1 740 Savonlinna 12.2 31.4 132.3 183.7 217.4 237.3 265.1 240.2 265.7 143.9 768 Sulkava 3.6 27.7 131.3 178.5 207.5 225.1 247.9 221.1 328.2 134.2 Total 17.6 27.8 124.0 167.4 211.1 230.2 256.1 229.1 251.5 139.1 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 113 Table 4b. Continued Forestry centre Open regeneration site 1-20 yrs 21-40 yrs 41-60 yrs 61-80 yrs 81-100 yrs 101-120 yrs 121-140 yrs 141+ yrs Forest land total Municipality m3/ha Etelä-Pohjanmaa 005 Alajärvi 3.7 16.3 88.8 106.5 132.5 139.2 166.5 161.3 150.2 103.1 010 Alavus 1.0 14.1 77.9 110.8 140.8 162.4 171.0 147.8 178.4 102.0 052 Evijärvi 5.4 13.3 85.4 105.0 127.8 140.8 147.9 169.3 165.2 94.7 074 Halsua 5.9 16.5 60.9 83.4 100.6 118.4 140.2 151.9 162.4 90.8 095 Himanka 6.1 14.6 76.5 104.1 128.2 141.8 158.2 171.4 148.5 99.8 145 Ilmajoki 0.7 15.8 91.0 113.8 135.9 149.2 195.0 157.9 149.9 101.2 151 Isojoki 1.9 18.7 81.7 99.6 123.5 148.3 180.7 146.0 156.9 102.8 152 Isokyrö 5.0 20.3 89.0 110.7 139.0 143.6 154.9 162.9 168.3 97.1 164 Jalasjärvi 1.0 14.8 87.2 103.2 138.5 140.3 176.0 164.5 150.2 97.1 217 Kannus 9.7 13.6 67.3 91.0 110.7 126.1 158.5 152.7 140.6 91.5 218 Karijoki 4.4 19.4 89.9 111.6 129.4 142.2 176.5 165.1 171.4 105.7 232 Kauhajoki 0.9 15.0 75.4 93.9 103.1 136.9 172.2 133.0 138.9 89.0 233 Kauhava 3.8 13.7 83.0 107.2 127.5 142.3 142.8 167.3 159.9 96.7 236 Kaustinen 4.1 13.6 74.4 98.1 121.3 133.7 150.6 160.0 141.8 94.9 272 Kokkola-Karleby 6.9 14.9 76.9 105.3 127.1 138.6 154.1 161.6 159.2 96.9 300 Kuortane 0.7 14.1 87.3 110.2 142.2 151.5 181.8 193.1 161.0 106.5 301 Kurikka 2.3 16.8 89.0 108.2 130.0 150.6 180.0 157.9 161.0 97.9 399 Laihia 4.4 21.0 92.6 117.8 148.6 154.2 170.5 172.1 184.0 109.3 403 Lappajärvi 2.0 15.6 86.5 105.2 128.0 142.4 141.9 168.5 138.5 103.2 408 Lapua 4.7 17.0 87.0 111.2 131.4 147.5 152.2 167.9 163.6 105.2 421 Lestijärvi 7.3 14.1 72.9 92.4 116.4 124.6 142.3 138.4 139.8 90.4 584 Perho 9.8 14.2 77.8 97.8 111.0 124.7 141.6 153.5 142.6 95.9 743 Seinäjoki 1.1 16.7 86.3 104.0 139.0 138.6 173.8 154.2 149.6 94.2 759 Soini 2.8 17.8 95.8 111.7 128.0 137.2 173.1 155.8 162.2 106.3 846 Teuva 3.8 19.5 88.4 107.7 130.1 139.3 171.3 159.9 167.1 99.1 849 Toholampi 9.5 13.8 64.5 90.7 108.7 127.2 163.8 158.0 145.9 91.3 863 Töysä 1.0 14.2 84.1 112.8 143.6 155.6 181.8 184.1 167.9 111.1 924 Veteli 9.4 14.5 74.8 99.4 120.1 129.0 157.0 161.9 148.5 97.9 934 Vimpeli 18.7 17.6 75.6 102.9 124.9 131.7 166.1 164.4 153.7 101.0 942 Vähäkyrö 4.2 20.7 99.1 116.1 148.1 170.7 190.5 186.8 176.2 99.8 989 Ähtäri 2.6 19.4 102.1 122.1 144.1 152.7 183.2 184.7 154.1 114.7 Total 3.8 16.0 83.3 104.6 128.0 140.7 165.6 159.5 154.6 99.1 Keski-Suomi 077 Hankasalmi 25.4 26.8 113.2 154.6 193.6 243.8 249.7 225.4 186.3 125.2 172 Joutsa 19.4 30.7 130.5 173.8 221.2 226.8 255.7 209.1 210.5 146.8 179 Jyväskylä 9.6 24.2 115.8 172.2 213.6 245.9 228.7 221.6 203.7 131.6 182 Jämsä 13.9 22.1 108.0 157.9 202.5 233.4 211.4 194.2 189.1 123.7 216 Kannonkoski 9.2 17.3 105.4 133.9 149.4 175.7 190.8 177.9 191.5 121.9 226 Karstula 4.5 17.9 97.0 120.0 133.5 149.4 167.9 177.1 186.8 114.1 249 Keuruu 4.0 25.0 107.7 144.9 173.4 198.2 198.8 207.1 161.3 131.2 256 Kinnula 9.5 14.6 84.7 110.9 126.3 141.3 156.2 165.6 162.0 103.7 265 Kivijärvi 6.8 14.8 97.9 125.3 139.8 160.2 182.3 176.7 176.2 113.6 275 Konnevesi 8.6 25.5 116.8 156.9 214.7 249.5 237.9 241.5 224.0 131.2 291 Kuhmoinen 8.7 21.5 110.5 169.9 210.8 252.3 241.0 208.7 222.6 136.9 312 Kyyjärvi 4.2 17.2 92.4 108.4 120.3 130.1 156.5 153.5 166.0 104.5 410 Laukaa 14.1 24.9 112.8 158.5 197.0 240.1 224.3 215.0 186.6 119.6 435 Luhanka 11.5 28.0 124.1 200.7 238.1 244.0 282.8 198.0 203.7 150.2 495 Multia 4.2 17.4 96.0 124.6 137.0 168.0 180.7 188.7 196.1 118.5 500 Muurame 7.3 25.5 120.7 183.5 216.8 283.2 241.6 234.7 186.9 138.7 592 Petäjävesi 13.0 22.8 115.3 141.1 187.9 211.6 206.2 178.9 188.7 117.1 601 Pihtipudas 9.2 14.8 90.7 119.6 121.0 126.8 162.9 142.6 215.2 104.2 729 Saarijärvi 5.2 18.4 102.4 135.0 152.5 177.4 189.2 192.8 204.2 121.7 850 Toivakka 14.5 25.7 119.8 152.9 209.9 220.9 220.4 219.8 162.7 125.4 892 Uurainen 11.7 22.5 114.3 136.1 176.9 200.9 214.5 197.6 181.6 115.4 931 Viitasaari 14.2 20.3 108.5 135.4 171.0 181.5 192.4 217.0 233.1 113.9 992 Äänekoski 12.6 22.3 112.4 150.0 195.2 239.6 217.0 220.8 195.7 128.8 Total 10.1 22.3 108.1 143.3 171.4 198.1 201.0 194.3 192.7 122.9 Pohjois-Savo 140 Iisalmi 4.0 20.5 101.9 142.0 189.7 188.0 227.2 236.4 244.2 107.7 174 Juankoski 8.4 20.9 102.0 141.4 175.3 213.6 228.2 230.1 211.1 118.5 204 Kaavi 10.5 18.6 103.9 131.9 149.1 196.0 194.8 214.7 226.7 119.9 227 Karttula 12.0 25.2 114.3 158.1 201.8 241.1 245.8 212.8 223.5 129.5 239 Keitele 12.8 23.5 105.8 134.0 166.0 212.1 183.5 177.5 221.9 118.0 263 Kiuruvesi 7.1 18.6 95.2 113.1 131.5 155.3 185.4 166.4 154.8 100.2 297 Kuopio 3.4 21.7 109.5 170.8 227.3 245.7 278.5 254.2 219.3 140.1 402 Lapinlahti 5.4 21.0 104.3 139.4 189.5 178.0 237.1 255.2 250.0 115.3 420 Leppävirta 3.3 21.2 118.0 172.1 212.5 245.0 260.8 262.7 219.0 144.8 476 Maaninka 4.3 20.6 107.7 150.9 187.9 216.8 255.0 258.2 271.0 121.9 534 Nilsiä 7.8 20.4 100.1 137.8 188.7 207.5 241.7 239.4 224.0 120.4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 114 Table 4b. Continued Forestry centre Open regeneration site 1-20 yrs 21-40 yrs 41-60 yrs 61-80 yrs 81-100 yrs 101-120 yrs 121-140 yrs 141+ yrs Forest land total Municipality m3/ha 595 Pielavesi 7.6 22.7 101.6 142.4 163.5 186.2 210.5 257.8 188.2 119.2 686 Rautalampi 12.1 22.7 113.1 163.5 194.9 229.2 238.5 224.1 213.1 127.6 687 Rautavaara 6.0 18.9 94.3 110.4 115.5 149.1 163.8 200.4 197.9 108.3 749 Siilinjärvi 4.2 19.1 105.4 155.7 213.6 223.6 256.6 263.8 254.1 118.6 762 Sonkajärvi 5.6 18.0 92.6 112.2 120.3 144.3 164.8 186.0 182.9 100.3 778 Suonenjoki 15.0 23.3 114.5 154.7 192.0 219.1 239.7 223.4 211.8 131.1 844 Tervo 12.1 23.7 111.5 160.3 195.5 227.1 247.3 209.8 239.9 122.7 857 Tuusniemi 4.1 21.6 113.3 167.6 212.2 236.8 259.1 261.7 214.5 134.2 915 Varkaus 3.9 23.3 122.7 176.9 212.7 237.6 267.6 251.3 247.3 148.2 916 Varpaisjärvi 7.7 19.7 98.1 125.5 170.0 187.5 209.3 244.5 203.1 108.8 921 Vesanto 12.3 22.6 107.0 153.7 182.6 231.0 222.5 183.4 200.4 123.3 925 Vieremä 7.1 18.3 92.0 116.0 125.3 155.0 177.4 177.1 158.3 100.2 Total 7.4 20.9 104.5 138.8 166.4 196.2 219.2 225.9 206.1 119.2 Pohjois-Karjala 146 Ilomantsi 3.9 21.2 94.5 109.6 108.7 156.1 194.6 212.7 257.6 108.6 167 Joensuu 9.7 24.5 105.1 136.7 164.5 209.6 232.8 232.6 203.2 121.7 176 Juuka 6.1 21.9 98.3 124.0 143.0 184.3 201.4 226.1 183.1 113.4 248 Kesälahti 5.8 28.2 117.9 156.3 186.4 221.5 208.5 241.1 188.8 128.9 260 Kitee 12.6 28.3 112.2 155.5 192.1 213.5 226.3 233.2 183.5 125.6 276 Kontiolahti 6.0 25.0 102.1 137.6 165.9 198.9 215.6 229.2 191.6 118.5 309 Outokumpu 9.7 25.1 115.5 158.1 185.0 201.5 198.1 243.8 197.4 123.2 422 Lieksa 5.2 21.1 90.4 114.3 121.2 153.9 180.9 207.1 229.9 105.4 426 Liperi 8.3 24.6 118.8 168.6 203.0 238.4 226.0 244.3 206.4 126.3 541 Nurmes 8.4 20.4 93.6 111.5 118.4 157.2 164.0 196.8 210.6 105.4 607 Polvijärvi 9.1 24.4 103.4 139.8 167.0 203.5 185.8 217.7 175.9 115.8 707 Rääkkylä 12.4 27.6 135.4 193.1 203.5 230.4 194.7 233.6 172.8 139.1 848 Tohmajärvi 12.7 26.2 107.5 136.3 153.9 209.6 224.8 243.6 188.8 122.4 911 Valtimo 10.5 17.6 93.3 114.3 112.8 156.5 181.0 180.8 228.2 102.6 Total 7.6 23.3 100.7 126.1 138.8 181.5 202.0 218.0 223.4 113.9 Kainuu 105 Hyrynsalmi 5.6 11.7 68.9 101.6 81.0 102.2 133.2 173.4 194.4 89.9 205 Kajaani 5.2 14.9 77.3 102.3 101.7 118.4 123.9 168.8 171.1 91.2 290 Kuhmo 8.3 16.2 67.7 85.2 87.4 118.1 151.7 186.5 201.1 90.9 578 Paltamo 6.6 15.1 78.0 111.5 108.0 128.5 167.8 173.0 213.9 99.5 620 Puolanka 5.5 10.2 69.8 90.6 87.7 108.1 120.5 122.7 172.2 83.1 697 Ristijärvi 14.9 14.0 72.0 105.5 90.5 112.3 141.4 153.8 190.5 90.8 765 Sotkamo 13.1 15.3 82.5 109.0 105.1 127.9 155.8 177.9 204.2 98.5 777 Suomussalmi 5.2 11.5 59.9 81.9 73.6 89.1 130.7 147.1 180.1 78.4 785 Vaala 1.9 13.0 52.7 78.4 93.8 111.7 126.8 119.4 114.6 78.2 Total 6.9 13.5 69.1 93.2 89.2 111.5 140.0 163.3 187.9 87.8 Pohjois-Pohjanmaa 009 Alavieska 6.5 11.0 70.9 86.6 115.3 127.3 127.5 139.6 121.4 87.3 069 Haapajärvi 9.7 14.0 83.5 104.5 119.5 133.9 146.5 151.6 161.9 102.0 071 Haapavesi 4.3 12.3 71.8 92.9 114.0 121.3 138.0 149.6 159.8 92.3 072 Hailuoto 1.9 11.7 52.7 79.8 101.2 132.0 129.1 108.4 75.7 68.0 084 Haukipudas 8.7 15.0 61.4 89.3 100.3 132.2 127.8 129.0 152.6 86.9 139 Ii 10.9 15.1 60.1 77.2 93.7 120.5 125.3 123.1 124.8 81.3 208 Kalajoki 3.4 10.4 69.4 89.1 111.7 127.6 122.4 145.1 101.6 83.9 244 Kempele 11.1 16.7 58.1 94.1 106.5 135.5 133.1 127.5 143.4 87.2 255 Kiiminki 4.3 14.7 64.3 94.3 110.2 120.6 145.5 142.5 149.0 94.3 305 Kuusamo 3.8 13.5 55.5 72.6 76.8 93.6 103.2 116.5 130.2 76.4 317 Kärsämäki 6.6 13.6 77.0 92.1 119.3 130.1 149.6 162.2 157.4 100.3 425 Liminka 2.3 16.8 54.6 79.5 98.0 118.2 121.8 121.4 120.1 78.7 436 Lumijoki 1.2 15.3 59.1 85.9 104.3 127.2 132.2 119.1 118.2 78.6 483 Merijärvi 2.3 10.2 67.3 89.5 115.2 128.0 125.4 143.7 118.5 85.2 494 Muhos 2.3 13.1 52.6 76.8 92.0 111.2 127.3 121.7 125.9 76.1 535 Nivala 8.7 11.2 81.8 109.7 124.3 132.1 150.9 149.7 160.1 96.8 563 Oulainen 2.9 10.3 64.1 93.8 112.0 120.9 126.5 142.3 131.5 83.5 564 Oulu 4.3 14.5 64.7 88.0 102.1 114.9 139.5 130.1 147.2 90.8 567 Oulunsalo 14.4 13.1 58.0 92.6 112.5 134.4 126.9 110.9 116.3 82.2 615 Pudasjärvi 2.7 9.8 62.0 73.0 80.2 95.0 119.9 121.7 138.6 74.0 625 Pyhäjoki 3.6 12.3 65.1 85.0 113.3 133.6 119.9 136.3 112.6 83.1 626 Pyhäsalmi 6.1 17.8 78.6 101.7 115.6 136.0 145.4 149.1 146.8 99.0 630 Pyhäntä 2.3 17.2 58.1 82.2 100.1 117.3 131.8 131.9 125.9 87.6 678 Raahe 3.8 13.8 60.8 89.6 107.1 126.8 135.0 143.6 125.1 86.8 691 Reisjärvi 9.6 11.6 81.8 98.4 119.1 130.3 154.4 156.5 129.3 98.2 746 Sievi 9.1 10.5 73.6 90.4 114.1 118.1 137.9 149.4 106.6 89.2 748 Siikajoki 2.2 13.8 56.4 80.8 99.1 116.0 125.5 118.6 117.1 78.1 791 Siikalatva 2.8 15.5 56.8 84.7 104.0 116.1 132.1 124.1 126.1 88.1 832 Taivalkoski 4.9 9.3 67.1 82.1 81.1 91.5 120.0 127.8 146.4 79.9 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 115 Table 4b. Continued Forestry centre Open regeneration site 1-20 yrs 21-40 yrs 41-60 yrs 61-80 yrs 81-100 yrs 101-120 yrs 121-140 yrs 141+ yrs Forest land total Municipality m3/ha 859 Tyrnävä 2.2 15.4 54.9 77.7 95.4 115.4 123.2 125.4 111.4 77.8 889 Utajärvi 1.8 12.8 55.2 78.5 88.8 112.7 119.8 133.5 144.0 79.6 926 Vihanti 2.6 13.7 55.3 83.1 100.7 124.1 132.6 135.1 135.3 85.4 972 Yli-Ii 3.9 17.4 60.5 77.3 90.1 108.7 120.9 140.2 137.9 81.2 977 Ylivieska 8.0 11.5 71.7 97.4 114.9 125.2 135.5 144.2 137.0 90.5 Total 4.4 12.8 63.5 82.8 97.0 113.9 126.7 130.9 135.1 83.2 Lapland 047 Enontekiö 8.2 14.3 18.8 40.7 38.1 48.4 73.7 50.1 79.6 54.9 148 Inari 4.4 11.9 18.7 39.1 57.2 54.9 63.4 60.6 86.4 64.5 240 Kemi 5.0 13.5 49.0 100.2 140.7 140.4 130.8 164.7 126.0 85.9 241 Keminmaa 5.8 20.7 54.2 90.8 116.5 116.7 148.2 138.8 124.8 88.7 261 Kittilä 0.4 17.7 44.1 54.7 62.9 80.5 71.0 77.4 80.3 60.2 273 Kolari 0.7 20.5 49.8 61.5 72.0 96.3 75.6 112.8 101.3 68.8 320 Kemijärvi 10.0 14.1 56.6 59.7 72.4 86.5 86.7 97.9 96.4 66.3 498 Muonio 0.1 21.3 49.5 39.0 62.0 71.4 68.1 68.1 95.2 64.0 583 Pelkosenniemi 5.0 15.4 51.8 62.0 67.7 80.2 86.2 95.1 94.8 62.1 614 Posio 3.8 10.9 50.7 60.4 73.1 85.5 98.9 93.3 108.7 66.7 683 Ranua 4.9 12.2 53.4 65.4 72.6 90.8 103.6 94.4 118.3 64.8 698 Rovaniemi 8.3 13.8 53.4 62.5 73.5 91.0 101.7 106.8 105.8 66.2 732 Salla 12.6 12.2 44.5 61.0 67.4 72.2 79.4 84.7 91.7 61.9 742 Savukoski 6.0 11.6 44.7 51.2 64.4 66.7 80.6 74.9 80.5 57.1 751 Simo 8.8 18.7 52.9 74.0 87.3 105.9 127.1 107.3 115.6 76.0 758 Sodankylä 9.1 13.2 43.0 46.5 59.5 71.4 84.4 89.0 81.6 56.9 845 Tervola 7.2 18.9 58.9 82.4 97.8 101.3 130.6 110.6 122.1 79.7 851 Tornio 3.3 17.1 50.4 92.7 116.0 102.3 143.7 163.5 113.7 86.1 854 Pello 0.4 14.6 59.4 70.0 70.1 105.4 86.0 120.6 102.3 68.1 890 Utsjoki – 10.7 37.1 71.7 41.9 21.4 51.9 48.6 62.4 53.9 976 Ylitornio 8.3 17.1 50.4 70.6 63.2 90.7 105.1 114.6 95.3 62.4 Total 5.9 13.4 34.1 50.7 62.7 68.1 78.0 77.3 88.0 63.5 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 116 Ta bl e 4c . A ge c la ss d ist rib u tio n on fo re st la nd a va ila bl e fo r w o o d su pp ly by fo re st ry c en tre s. Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % Ål an d 03 5 B rä nd ö 22 0. 8 41 6 15 .1 82 1 29 .9 42 2 15 .4 42 7 15 .5 31 7 11 .5 14 0 5. 1 12 8 4. 7 57 2. 1 2 75 0 10 0. 0 04 3 E ck er ö 59 1. 0 85 8 14 .9 1 70 6 29 .7 77 1 13 .4 61 0 10 .6 75 8 13 .2 32 2 5. 6 42 8 7. 5 23 2 4. 1 5 74 4 10 0. 0 06 0 F in st rö m 10 6 1. 6 1 01 2 15 .5 1 93 3 29 .5 92 0 14 .1 70 0 10 .7 85 6 13 .1 35 1 5. 4 44 2 6. 8 22 8 3. 5 6 54 7 10 0. 0 06 2 F ög lö 31 0. 5 74 1 12 .3 1 57 8 26 .2 83 2 13 .8 66 3 11 .0 80 7 13 .4 44 9 7. 5 63 1 10 .5 29 9 5. 0 6 03 2 10 0. 0 06 5 G et a 18 0. 6 38 5 13 .1 75 5 25 .6 37 2 12 .6 30 2 10 .2 41 7 14 .1 23 7 8. 0 30 2 10 .3 16 2 5. 5 2 95 1 10 0. 0 07 6 H am m ar la nd 81 1. 1 1 05 9 14 .7 2 19 6 30 .6 1 02 5 14 .3 77 0 10 .7 94 2 13 .1 38 8 5. 4 45 9 6. 4 26 2 3. 7 7 18 3 10 0. 0 17 0 J om al a 14 1 1. 9 1 33 1 17 .8 2 19 8 29 .3 1 00 6 13 .4 76 3 10 .2 95 0 12 .7 35 1 4. 7 48 4 6. 5 27 0 3. 6 7 49 5 10 0. 0 29 5 K um lin ge 11 0. 5 19 1 8. 6 59 3 26 .7 32 6 14 .7 25 7 11 .6 24 6 11 .1 28 7 12 .9 22 3 10 .0 91 4. 1 2 22 4 10 0. 0 31 8 K ök ar 0 0. 0 0 0. 0 0 0. 0 62 20 .9 15 2 51 .4 77 26 .0 2 0. 7 3 1. 0 1 0. 3 29 6 10 0. 0 41 7 L em la nd 74 1. 2 1 01 4 16 .0 2 01 1 30 .9 95 3 14 .5 71 8 11 .1 79 1 12 .2 32 9 5. 1 39 5 6. 1 19 4 3. 0 6 47 9 10 0. 0 43 8 L um pa rla nd 13 0. 7 21 1 11 .9 48 1 27 .1 25 3 14 .3 19 8 11 .2 24 7 14 .0 11 6 6. 5 16 9 9. 5 86 4. 8 1 77 3 10 0. 0 47 8 M ar ie ha m n- M aa ria nh am in a 14 3. 5 89 22 .6 10 7 27 .2 52 13 .2 39 10 .0 44 11 .2 17 4. 3 21 5. 4 10 2. 6 39 3 10 0. 0 73 6 S al tv ik 43 0. 7 66 9 11 .4 1 52 8 26 .0 75 6 12 .8 62 1 10 .5 87 8 14 .9 45 1 7. 7 60 6 10 .3 34 0 5. 8 5 89 1 10 0. 0 76 6 S ot tu ng a 2 0. 3 91 15 .1 15 2 25 .3 83 13 .8 76 12 .5 71 11 .8 50 8. 4 55 9. 1 23 3. 8 60 3 10 0. 0 77 1 S un d 34 0. 7 64 3 12 .8 1 43 2 28 .6 68 8 13 .7 51 8 10 .3 69 9 13 .9 31 5 6. 3 45 6 9. 1 23 0 4. 6 5 01 6 10 0. 0 94 1 V år dö 12 0. 3 35 8 10 .3 85 7 24 .8 44 2 12 .8 35 5 10 .3 49 0 14 .2 31 0 9. 0 42 1 12 .2 21 7 6. 3 3 46 2 10 0. 0 To ta l 66 0 1. 0 9 06 8 14 .0 18 3 49 28 .3 8 96 1 13 .8 7 16 9 11 .1 8 59 1 13 .3 4 11 4 6. 4 5 22 4 8. 1 2 70 2 4. 2 64 8 38 10 0. 0 R an ni kk o/ Et el är an ni kk o 04 9 E sp oo -E sb o 14 0 1. 0 2 43 9 17 .0 3 03 7 21 .1 2 84 2 19 .8 2 27 6 15 .8 1 45 5 10 .1 1 01 9 7. 1 61 8 4. 3 55 1 3. 8 14 3 76 10 0. 0 07 8 H an ko -H an gö 35 0. 6 48 9 8. 4 97 3 16 .6 1 38 6 23 .7 1 24 4 21 .2 80 8 13 .8 55 8 9. 5 25 6 4. 4 11 1 1. 9 5 86 0 10 0. 0 09 1 H el si nk i-H el si ng fo rs 14 3 2. 1 1 79 5 25 .6 1 09 7 15 .6 1 09 0 15 .6 1 03 8 14 .8 89 0 12 .7 51 5 7. 3 21 5 3. 1 22 8 3. 3 7 01 0 10 0. 0 09 2 V an ta a- Va nd a 14 3 1. 5 2 49 5 26 .2 1 97 0 20 .7 1 57 0 16 .5 1 44 2 15 .1 96 0 10 .1 55 7 5. 9 21 5 2. 3 18 6 2. 0 9 53 8 10 0. 0 14 9 In gå -In ko o 28 0 1. 5 3 74 5 20 .6 3 57 1 19 .6 3 55 6 19 .5 2 25 1 12 .4 1 89 3 10 .4 1 34 7 7. 4 86 0 4. 7 72 3 4. 0 18 2 25 10 0. 0 23 5 K au ni ai ne n- G ra nk ul la 2 0. 9 31 17 .0 37 20 .0 35 19 .2 28 15 .4 21 11 .5 13 7. 1 8 4. 4 8 4. 5 18 4 10 0. 0 25 7 K irk ko nu m m i-K yr ks lä tt 30 7 1. 7 4 17 2 23 .1 3 54 5 19 .6 3 49 8 19 .3 2 25 5 12 .5 1 50 0 8. 3 1 24 8 6. 9 83 1 4. 6 73 3 4. 1 18 0 89 10 0. 0 32 2 K em iö ns aa ri 57 5 1. 7 4 43 2 13 .4 5 09 4 15 .4 6 63 3 20 .0 6 38 1 19 .2 4 46 8 13 .5 3 26 3 9. 8 1 55 8 4. 7 78 6 2. 4 33 1 91 10 0. 0 40 7 L ap in jä rv i-L ap pt rä sk 14 7 0. 8 2 61 8 14 .4 3 90 0 21 .4 4 40 2 24 .2 3 13 4 17 .2 1 79 3 9. 8 1 25 4 6. 9 65 1 3. 6 32 7 1. 8 18 2 26 10 0. 0 42 4 L ilje nd al 56 0. 9 96 5 16 .1 1 18 3 19 .8 1 41 8 23 .7 1 06 3 17 .8 57 1 9. 6 40 8 6. 8 20 4 3. 4 11 0 1. 8 5 97 8 10 0. 0 43 4 L ov iis a- Lo vi sa 28 1. 0 32 0 11 .5 53 7 19 .3 66 5 23 .9 50 2 18 .0 31 8 11 .4 20 8 7. 5 12 8 4. 6 79 2. 8 2 78 5 10 0. 0 44 4 L än si -T ur un m aa 73 7 1. 8 7 10 8 17 .1 7 06 0 17 .0 7 72 6 18 .6 6 65 5 16 .0 4 93 6 11 .9 4 43 0 10 .7 1 91 2 4. 6 1 00 5 2. 4 41 5 68 10 0. 0 58 5 P er nå -P er na ja 33 3 1. 3 4 04 1 15 .4 5 10 7 19 .4 6 09 9 23 .2 4 63 1 17 .6 2 56 7 9. 8 1 83 8 7. 0 1 02 6 3. 9 62 6 2. 4 26 2 66 10 0. 0 63 8 P or vo o- Bo rg å 41 8 1. 1 5 52 7 15 .1 7 51 2 20 .5 8 50 9 23 .3 5 91 4 16 .2 3 54 8 9. 7 2 54 9 7. 0 1 58 2 4. 3 1 04 5 2. 9 36 6 05 10 0. 0 70 1 R uo ts in py ht ää -S trö m fo rs 20 2 1. 1 3 06 1 16 .9 3 71 2 20 .5 4 04 0 22 .4 3 05 1 16 .9 1 90 2 10 .5 1 16 9 6. 5 60 6 3. 4 33 3 1. 8 18 0 77 10 0. 0 71 0 R aa se po ri 56 3 0. 9 7 73 7 12 .3 10 6 49 16 .9 13 7 60 21 .9 12 0 95 19 .2 8 38 4 13 .3 5 71 7 9. 1 2 63 2 4. 2 1 40 5 2. 2 62 9 42 10 0. 0 75 3 S ip oo -S ib bo 17 8 1. 0 2 75 2 15 .1 3 62 6 19 .9 3 91 7 21 .5 3 16 0 17 .3 1 99 6 10 .9 1 33 0 7. 3 78 5 4. 3 51 9 2. 8 18 2 61 10 0. 0 75 5 S iu nt io -S ju nd eå 24 1 2. 0 3 39 4 28 .0 2 45 4 20 .3 2 21 7 18 .3 1 41 1 11 .7 91 0 7. 5 70 2 5. 8 45 3 3. 7 32 5 2. 7 12 1 07 10 0. 0 To ta l 4 52 9 1. 3 57 1 22 16 .4 65 0 62 18 .6 73 3 63 21 .0 58 5 32 16 .8 38 9 20 11 .1 28 1 24 8. 1 14 5 36 4. 2 9 09 9 2. 6 34 9 28 7 10 0. 0 R an ni kk o/ Po hj an m aa n ra nn ik ko 23 1 K as ki ne n- Ka sk ö 14 2. 1 25 7 37 .4 17 7 25 .8 70 10 .2 58 8. 5 59 8. 5 24 3. 5 18 2. 6 10 1. 5 68 7 10 0. 0 28 0 K or sn äs 31 1 1. 9 3 36 4 20 .3 4 48 3 27 .0 2 35 9 14 .2 2 05 2 12 .4 1 40 7 8. 5 1 46 7 8. 8 84 4 5. 1 31 0 1. 9 16 5 96 10 0. 0 28 7 K ris tin es ta d- Kr is tii na nk au pu nk i 83 4 1. 7 9 89 7 19 .9 11 8 52 23 .9 7 63 3 15 .4 6 40 6 12 .9 5 87 5 11 .8 3 66 2 7. 4 2 69 0 5. 4 81 1 1. 6 49 6 60 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 117 Ta bl e 4c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 28 8 K ro no by -K ru un up yy 75 0 1. 5 9 20 3 18 .5 11 1 01 22 .3 9 88 7 19 .9 7 12 9 14 .3 5 08 3 10 .2 3 19 2 6. 4 2 03 0 4. 1 1 41 6 2. 8 49 7 90 10 0. 0 44 0 L ar sm o- Lu ot o 25 0 2. 6 2 17 4 22 .5 2 80 0 29 .0 1 64 9 17 .1 1 22 9 12 .7 68 7 7. 1 44 9 4. 7 26 6 2. 8 16 6 1. 7 9 67 0 10 0. 0 47 5 M al ax -M aa la ht i 52 4 1. 5 6 15 2 18 .1 8 84 8 26 .1 4 96 0 14 .6 4 72 7 13 .9 3 13 3 9. 2 3 16 1 9. 3 1 51 3 4. 5 94 6 2. 8 33 9 65 10 0. 0 49 9 K or sh ol m -M us ta sa ar i 1 09 9 2. 1 8 55 0 16 .0 13 2 20 24 .8 7 46 8 14 .0 7 78 1 14 .6 4 46 1 8. 4 5 70 5 10 .7 2 55 3 4. 8 2 45 6 4. 6 53 2 94 10 0. 0 54 5 N är pe s- N är pi ö 1 23 4 1. 9 13 2 23 20 .6 15 6 63 24 .4 8 22 7 12 .8 8 19 3 12 .7 7 23 1 11 .2 5 74 6 8. 9 3 83 1 6. 0 98 6 1. 5 64 3 34 10 0. 0 55 9 O ra va is -O ra va in en 30 1 2. 3 3 06 6 23 .5 3 46 0 26 .6 1 93 4 14 .9 1 27 9 9. 8 1 12 5 8. 6 88 0 6. 8 56 4 4. 3 41 3 3. 2 13 0 21 10 0. 0 59 8 J ak ob st ad -P ie ta rs aa ri 87 1. 6 1 34 4 24 .0 1 57 2 28 .1 1 02 3 18 .3 69 0 12 .3 34 3 6. 1 25 7 4. 6 12 6 2. 3 14 8 2. 7 5 59 0 10 0. 0 59 9 P ed er sö re -P ed er sö re n ku nt a 61 9 1. 1 10 0 68 18 .3 13 1 20 23 .9 11 0 28 20 .1 8 39 5 15 .3 4 93 2 9. 0 3 31 4 6. 0 1 83 0 3. 3 1 67 7 3. 1 54 9 84 10 0. 0 89 3 N yk ar le by -U us ik aa rle py y 69 9 1. 5 8 28 9 17 .3 11 5 98 24 .2 8 47 9 17 .7 5 70 0 11 .9 5 21 2 10 .9 3 64 9 7. 6 2 56 4 5. 4 1 74 2 3. 6 47 9 33 10 0. 0 90 5 V aa sa -V as a 19 2 1. 8 1 78 2 16 .2 2 66 2 24 .2 1 58 6 14 .4 1 69 9 15 .4 99 2 9. 0 1 12 8 10 .3 45 8 4. 2 50 8 4. 6 11 0 08 10 0. 0 94 5 V ör å- M ax m o Vö yr i-M ak sa m aa 94 5 2. 6 7 91 0 21 .3 9 93 3 26 .8 5 17 2 13 .9 3 87 6 10 .4 2 91 3 7. 9 3 40 3 9. 2 1 68 7 4. 5 1 28 3 3. 5 37 1 21 10 0. 0 To ta l 7 85 8 1. 8 85 2 79 19 .1 11 0 48 7 24 .7 71 4 77 16 .0 59 2 13 13 .2 43 4 54 9. 7 36 0 38 8. 1 20 9 74 4. 7 12 8 73 2. 9 44 7 65 4 10 0. 0 Lo un ai s- Su om i 01 9 A ur a 55 1. 4 77 8 20 .4 65 0 17 .1 71 6 18 .8 67 5 17 .7 43 5 11 .5 30 5 8. 0 14 0 3. 7 51 1. 3 3 80 5 10 0. 0 05 0 E ur a 23 8 0. 7 6 00 8 17 .4 5 31 7 15 .4 8 34 7 24 .2 7 20 0 20 .9 3 49 3 10 .1 2 20 8 6. 4 1 38 5 4. 0 31 8 0. 9 34 5 15 10 0. 0 05 1 E ur aj ok i 90 0. 4 4 43 1 20 .3 4 02 7 18 .5 5 14 5 23 .6 3 26 3 15 .0 2 26 6 10 .4 1 51 4 6. 9 1 01 5 4. 7 69 0. 3 21 8 19 10 0. 0 07 9 H ar ja va lta 52 0. 7 1 28 0 17 .6 1 53 0 21 .1 1 58 3 21 .8 1 21 7 16 .8 79 3 10 .9 45 9 6. 3 24 0 3. 3 11 3 1. 6 7 26 8 10 0. 0 09 9 H on ka jo ki 54 5 2. 7 3 67 9 18 .0 3 10 4 15 .2 4 49 8 22 .0 3 31 8 16 .2 2 09 9 10 .3 1 43 6 7. 0 1 09 4 5. 4 68 6 3. 4 20 4 60 10 0. 0 10 2 H ui tti ne n 57 5 2. 2 5 58 9 21 .6 5 85 1 22 .6 4 86 2 18 .8 4 21 5 16 .3 2 76 8 10 .7 1 17 5 4. 6 54 3 2. 1 26 9 1. 0 25 8 47 10 0. 0 18 1 J äm ijä rv i 30 6 2. 6 2 46 3 21 .3 1 93 6 16 .7 2 11 1 18 .2 2 00 5 17 .3 1 39 9 12 .1 68 0 5. 9 41 4 3. 6 27 7 2. 4 11 5 92 10 0. 0 20 2 K aa rin a 10 5 1. 6 1 38 0 21 .3 1 15 5 17 .9 1 21 6 18 .8 1 04 8 16 .2 69 1 10 .7 54 2 8. 4 22 6 3. 5 10 8 1. 7 6 47 1 10 0. 0 21 4 K an ka an pä ä 1 31 5 3. 0 7 89 2 17 .8 6 82 9 15 .4 8 92 0 20 .1 7 63 9 17 .2 5 87 0 13 .2 2 88 5 6. 5 1 88 0 4. 2 1 21 0 2. 7 44 4 40 10 0. 0 23 0 K ar vi a 64 7 2. 2 5 06 9 16 .9 4 82 8 16 .1 6 89 3 23 .0 4 94 9 16 .5 3 04 4 10 .1 2 12 7 7. 1 1 68 7 5. 6 77 5 2. 6 30 0 20 10 0. 0 25 4 K iik oi ne n 11 2 1. 2 2 05 9 22 .5 2 01 4 22 .0 1 77 5 19 .4 1 26 2 13 .8 85 9 9. 4 56 6 6. 2 39 8 4. 3 11 9 1. 3 9 16 3 10 0. 0 27 1 K ok em äk i 27 2 0. 9 5 92 0 20 .5 6 71 3 23 .2 5 38 9 18 .6 4 40 7 15 .2 2 58 2 8. 9 1 76 4 6. 1 1 25 9 4. 4 63 8 2. 2 28 9 45 10 0. 0 28 4 K os ki T. l. 18 7 2. 4 1 99 6 25 .9 1 46 2 19 .0 1 14 7 14 .9 1 16 9 15 .2 81 6 10 .6 50 9 6. 6 20 9 2. 7 20 9 2. 7 7 70 4 10 0. 0 30 4 K us ta vi 24 7 3. 1 1 80 7 22 .5 1 32 4 16 .5 1 26 7 15 .8 1 15 0 14 .3 87 5 10 .9 85 5 10 .6 30 7 3. 8 20 4 2. 5 8 03 7 10 0. 0 31 9 K öy liö 18 0 1. 4 1 69 3 13 .3 1 40 0 11 .0 3 02 9 23 .8 3 32 2 26 .1 1 57 1 12 .4 65 9 5. 2 77 8 6. 1 95 0. 7 12 7 27 10 0. 0 40 0 L ai til a 40 3 1. 4 5 05 4 17 .3 4 28 3 14 .7 6 35 4 21 .8 5 64 2 19 .3 3 75 0 12 .9 2 35 8 8. 1 1 10 6 3. 8 23 4 0. 8 29 1 83 10 0. 0 41 3 L av ia 38 5 1. 7 3 92 8 17 .4 4 79 3 21 .2 4 89 2 21 .6 3 53 8 15 .7 2 54 8 11 .3 1 24 7 5. 5 85 4 3. 8 42 8 1. 9 22 6 12 10 0. 0 42 3 L ie to 98 1. 3 1 21 8 15 .9 1 27 9 16 .7 1 46 4 19 .2 1 44 3 18 .9 95 9 12 .6 73 4 9. 6 31 7 4. 1 13 2 1. 7 7 64 3 10 0. 0 43 0 L oi m aa 70 8 2. 2 6 30 1 19 .7 5 84 2 18 .3 5 98 7 18 .8 5 35 1 16 .8 3 93 3 12 .3 1 98 6 6. 2 1 35 8 4. 3 45 9 1. 4 31 9 25 10 0. 0 44 2 L uv ia 13 0 1. 1 2 03 0 17 .2 2 18 8 18 .6 3 65 0 31 .0 1 75 8 14 .9 85 9 7. 3 87 6 7. 4 19 8 1. 7 98 0. 8 11 7 86 10 0. 0 48 0 M ar tti la 13 3 1. 6 1 57 8 18 .6 1 50 6 17 .7 1 69 4 19 .9 1 52 6 18 .0 1 02 5 12 .1 62 4 7. 3 30 0 3. 5 11 3 1. 3 8 49 8 10 0. 0 48 1 M as ku 14 7 1. 7 1 81 4 21 .4 1 47 5 17 .4 1 53 5 18 .1 1 37 9 16 .3 89 9 10 .6 76 6 9. 1 30 2 3. 6 15 2 1. 8 8 46 9 10 0. 0 48 4 M er ik ar vi a 70 1 2. 1 6 00 8 18 .0 5 42 5 16 .3 6 70 1 20 .1 6 75 5 20 .3 4 77 2 14 .3 1 43 6 4. 3 1 09 4 3. 3 44 5 1. 3 33 3 37 10 0. 0 50 3 M yn äm äk i 30 9 1. 1 4 38 4 15 .9 5 01 3 18 .2 5 73 4 20 .8 5 15 9 18 .7 3 42 9 12 .5 2 20 4 8. 0 91 9 3. 3 38 4 1. 4 27 5 37 10 0. 0 52 9 N aa nt al i 23 8 1. 8 2 52 8 18 .9 2 23 8 16 .7 2 26 7 16 .9 2 13 8 15 .9 1 50 8 11 .2 1 54 5 11 .5 57 5 4. 3 37 4 2. 8 13 4 11 10 0. 0 53 1 N ak ki la 69 0. 7 2 03 9 21 .9 2 01 7 21 .7 2 15 6 23 .2 1 46 3 15 .7 60 8 6. 5 58 8 6. 3 30 5 3. 3 62 0. 7 9 30 8 10 0. 0 53 7 N oo rm ar kk u 22 7 1. 0 4 39 9 18 .5 4 85 8 20 .4 4 72 7 19 .8 4 04 1 17 .0 2 34 0 9. 8 1 95 8 8. 2 78 2 3. 3 49 8 2. 1 23 8 30 10 0. 0 53 8 N ou si ai ne n 14 6 1. 5 1 52 1 16 .0 1 68 0 17 .6 1 92 7 20 .2 1 72 9 18 .1 1 18 2 12 .4 82 8 8. 7 35 5 3. 7 16 4 1. 7 9 53 1 10 0. 0 56 1 O rip ää 95 1. 9 78 7 15 .8 81 6 16 .4 99 0 19 .9 98 0 19 .7 67 0 13 .5 38 5 7. 7 18 1 3. 6 75 1. 5 4 97 9 10 0. 0 57 7 P ai m io 10 9 1. 1 1 54 0 15 .0 1 71 6 16 .7 2 06 4 20 .0 1 97 0 19 .1 1 31 2 12 .7 1 00 4 9. 7 41 0 4. 0 17 6 1. 7 10 3 02 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 118 Ta bl e 4c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 60 8 P om ar kk u 20 3 0. 9 3 29 7 14 .9 4 21 5 19 .0 4 07 4 18 .4 4 02 5 18 .2 2 78 1 12 .6 2 02 3 9. 1 95 5 4. 3 57 3 2. 6 22 1 46 10 0. 0 60 9 P or i 22 8 0. 9 5 40 4 21 .5 4 79 3 19 .1 6 11 8 24 .4 3 86 1 15 .4 1 82 4 7. 3 2 03 5 8. 1 51 3 2. 0 34 5 1. 4 25 1 20 10 0. 0 63 1 P yh är an ta 12 3 1. 3 1 97 7 20 .7 1 06 4 11 .2 1 82 0 19 .1 1 85 4 19 .5 1 65 8 17 .4 59 7 6. 3 41 8 4. 4 18 0. 2 9 52 9 10 0. 0 63 6 P öy ty ä 28 5 0. 7 5 36 6 14 .0 6 72 5 17 .5 8 40 2 21 .9 7 52 5 19 .6 5 06 6 13 .2 3 12 0 8. 1 1 33 2 3. 5 53 7 1. 4 38 3 58 10 0. 0 68 0 R ai si o 34 1. 8 41 7 22 .0 32 6 17 .2 35 1 18 .5 31 3 16 .5 19 7 10 .4 16 4 8. 6 63 3. 4 32 1. 7 1 89 7 10 0. 0 68 4 R au m a 24 7 0. 8 5 76 4 19 .1 4 04 1 13 .4 5 97 8 19 .9 5 99 6 19 .9 3 93 1 13 .1 2 10 5 7. 0 1 93 9 6. 4 10 9 0. 4 30 1 10 10 0. 0 70 4 R us ko 62 1. 1 88 1 15 .1 1 04 9 17 .9 1 23 8 21 .1 1 10 8 18 .9 72 7 12 .4 51 1 8. 7 19 5 3. 3 83 1. 4 5 85 5 10 0. 0 73 4 S al o 1 04 4 1. 1 14 5 57 14 .7 15 9 66 16 .2 20 2 83 20 .5 19 5 82 19 .8 13 2 50 13 .4 8 52 6 8. 6 3 98 3 4. 0 1 54 1 1. 6 98 7 32 10 0. 0 73 8 S au vo 16 7 1. 4 2 09 0 17 .4 2 10 1 17 .5 2 35 6 19 .6 2 13 8 17 .8 1 39 4 11 .6 1 08 3 9. 0 45 4 3. 8 22 6 1. 9 12 0 09 10 0. 0 74 7 S iik ai ne n 63 0 1. 8 5 38 1 15 .6 5 67 1 16 .4 7 03 1 20 .4 6 99 2 20 .2 5 01 8 14 .5 2 02 9 5. 9 1 18 9 3. 4 61 6 1. 8 34 5 58 10 0. 0 76 1 S om er o 42 7 1. 3 6 53 1 20 .3 7 78 0 24 .2 6 04 9 18 .8 5 56 7 17 .3 3 37 7 10 .5 1 27 3 4. 0 50 5 1. 6 70 6 2. 2 32 2 15 10 0. 0 78 3 S äk yl ä 11 0 1. 3 1 57 7 19 .1 1 01 6 12 .3 1 74 8 21 .2 1 94 1 23 .5 86 6 10 .5 48 5 5. 9 40 5 4. 9 11 2 1. 4 8 26 0 10 0. 0 83 3 Ta iva ss al o 15 4 2. 4 1 46 9 22 .7 1 12 6 17 .4 1 02 2 15 .8 97 0 15 .0 67 2 10 .4 66 8 10 .3 22 8 3. 5 16 2 2. 5 6 47 1 10 0. 0 83 8 Ta rv as jo ki 48 1. 3 65 8 17 .1 70 1 18 .2 78 0 20 .2 68 7 17 .8 46 4 12 .1 32 1 8. 3 14 5 3. 8 50 1. 3 3 85 4 10 0. 0 85 3 Tu rk u- Åb o 15 7 1. 7 2 00 3 22 .1 1 57 8 17 .4 1 68 3 18 .5 1 48 3 16 .3 98 4 10 .8 75 5 8. 3 30 6 3. 4 13 7 1. 5 9 08 6 10 0. 0 88 6 U lv ila 11 5 0. 4 5 05 2 18 .4 6 46 7 23 .6 5 38 9 19 .7 4 42 8 16 .2 2 38 0 8. 7 2 12 6 7. 8 85 5 3. 1 59 8 2. 2 27 4 09 10 0. 0 89 5 U us ik au pu nk i 50 9 1. 8 5 79 0 20 .6 5 13 7 18 .3 5 23 2 18 .6 4 51 7 16 .1 2 98 4 10 .6 2 44 1 8. 7 1 00 1 3. 6 50 8 1. 8 28 1 20 10 0. 0 91 8 V eh m aa 20 6 2. 1 2 37 7 24 .7 1 70 7 17 .7 1 60 9 16 .7 1 49 1 15 .5 96 4 10 .0 81 2 8. 4 30 0 3. 1 16 5 1. 7 9 63 2 10 0. 0 To ta l 13 5 74 1. 5 16 7 76 2 18 .1 16 4 73 2 17 .7 19 0 20 7 20 .5 16 6 18 7 17 .9 10 7 89 4 11 .6 67 2 96 7. 3 35 4 20 3. 8 15 4 54 1. 7 92 8 52 5 10 0. 0 H äm e- U us im aa 01 5 A rtj är vi 10 7 1. 2 1 92 5 21 .7 1 99 5 22 .5 1 86 8 21 .0 1 28 8 14 .5 76 2 8. 6 55 0 6. 2 28 0 3. 2 10 8 1. 2 8 88 2 10 0. 0 01 6 A si kk al a 37 9 1. 0 9 03 8 22 .6 8 73 8 21 .9 7 40 4 18 .5 6 39 9 16 .0 3 98 4 10 .0 2 55 1 6. 4 1 12 0 2. 8 33 9 0. 9 39 9 52 10 0. 0 01 8 A sk ol a 14 0 1. 3 2 22 3 20 .1 2 15 6 19 .5 2 40 7 21 .8 1 96 1 17 .7 97 7 8. 8 68 9 6. 2 33 9 3. 1 16 8 1. 5 11 0 61 10 0. 0 06 1 F or ss a 76 0. 6 2 67 6 20 .2 2 83 6 21 .4 1 94 5 14 .7 2 63 8 19 .9 1 80 5 13 .6 87 1 6. 6 19 5 1. 5 23 9 1. 8 13 2 81 10 0. 0 08 1 H ar to la 25 5 0. 6 10 1 52 23 .3 10 1 10 23 .2 6 79 8 15 .6 8 19 2 18 .8 4 17 6 9. 6 2 34 7 5. 4 1 23 7 2. 8 26 8 0. 6 43 5 36 10 0. 0 08 2 H at tu la 36 0 1. 6 5 42 0 23 .4 5 17 2 22 .4 4 62 1 20 .0 3 29 2 14 .2 2 05 4 8. 9 1 22 2 5. 3 74 5 3. 2 25 0 1. 1 23 1 36 10 0. 0 08 6 H au sj är vi 34 1 1. 8 4 80 0 25 .6 3 56 5 19 .0 3 96 8 21 .2 2 95 0 15 .7 1 71 0 9. 1 84 7 4. 5 44 2 2. 4 13 2 0. 7 18 7 54 10 0. 0 09 8 H ol lo la 34 5 1. 2 6 75 5 23 .7 6 28 8 22 .1 5 48 5 19 .3 4 42 8 15 .6 2 56 9 9. 0 1 53 7 5. 4 65 7 2. 3 40 8 1. 4 28 4 72 10 0. 0 10 3 H um pp ila 96 1. 4 1 32 6 18 .7 1 32 3 18 .6 1 09 7 15 .5 1 35 1 19 .0 93 4 13 .2 66 3 9. 3 21 7 3. 1 97 1. 4 7 10 5 10 0. 0 10 6 H yv in kä ä 32 4 1. 7 4 34 2 22 .5 3 78 3 19 .6 4 36 1 22 .6 3 10 1 16 .0 1 80 5 9. 3 99 9 5. 2 44 2 2. 3 17 1 0. 9 19 3 28 10 0. 0 10 9 H äm ee nl in na 1 67 5 1. 4 26 1 48 21 .3 25 6 04 20 .8 24 9 63 20 .3 20 5 82 16 .7 12 5 43 10 .2 6 79 2 5. 5 3 31 3 2. 7 1 33 0 1. 1 12 2 95 1 10 0. 0 11 1 H ei no la 56 4 1. 0 12 2 05 22 .2 12 4 20 22 .6 9 57 4 17 .4 8 57 7 15 .6 6 36 4 11 .6 3 66 6 6. 7 1 27 2 2. 3 24 7 0. 5 54 8 87 10 0. 0 16 5 J an ak ka la 54 1 1. 6 7 09 0 21 .4 6 90 3 20 .8 6 90 5 20 .8 5 46 4 16 .5 3 01 7 9. 1 1 93 1 5. 8 95 4 2. 9 36 7 1. 1 33 1 72 10 0. 0 16 9 J ok io in en 13 0 1. 7 1 91 4 24 .6 1 90 6 24 .4 88 1 11 .3 1 33 4 17 .1 87 7 11 .2 45 4 5. 8 14 3 1. 8 15 8 2. 0 7 79 8 10 0. 0 18 6 J är ve np ää 24 1. 8 43 5 32 .5 28 4 21 .2 23 7 17 .7 18 7 13 .9 70 5. 3 53 4. 0 34 2. 5 14 1. 1 1 33 9 10 0. 0 22 3 K ar ja lo hj a 12 7 1. 8 2 09 8 30 .1 1 66 6 23 .9 1 12 5 16 .1 77 3 11 .1 49 4 7. 1 40 2 5. 8 17 0 2. 4 11 5 1. 6 6 96 8 10 0. 0 22 4 K ar kk ila 20 8 1. 3 3 18 3 20 .2 3 39 1 21 .6 3 34 3 21 .2 2 33 4 14 .8 1 43 2 9. 1 1 01 1 6. 4 54 7 3. 5 28 8 1. 8 15 7 36 10 0. 0 24 5 K er av a 18 1. 5 33 6 27 .6 25 7 21 .1 21 9 18 .0 17 8 14 .6 10 0 8. 2 59 4. 8 29 2. 3 24 2. 0 1 22 0 10 0. 0 28 3 H äm ee nk os ki 14 6 1. 3 3 00 3 26 .0 2 48 8 21 .5 2 19 6 19 .0 1 82 5 15 .8 1 02 7 8. 9 58 3 5. 0 22 5 2. 0 68 0. 6 11 5 61 10 0. 0 31 6 K är kö lä 22 8 1. 7 3 63 4 26 .6 2 88 9 21 .1 2 54 2 18 .6 2 29 5 16 .8 1 18 8 8. 7 59 8 4. 4 22 2 1. 6 79 0. 6 13 6 76 10 0. 0 39 8 L ah ti 11 0 1. 6 1 86 7 28 .0 1 62 4 24 .3 1 12 7 16 .9 81 3 12 .2 54 7 8. 2 30 2 4. 5 15 8 2. 4 13 3 2. 0 6 68 1 10 0. 0 43 3 L op pi 64 8 1. 6 9 34 0 22 .5 8 14 6 19 .6 8 12 9 19 .6 6 68 5 16 .1 4 00 5 9. 7 2 58 3 6. 2 1 40 7 3. 4 56 4 1. 4 41 5 06 10 0. 0 44 4 L oh ja 34 3 1. 8 6 15 7 32 .6 4 14 6 22 .0 3 05 5 16 .2 2 02 7 10 .7 1 26 8 6. 7 98 2 5. 2 56 1 3. 0 33 4 1. 8 18 8 73 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 119 Ta bl e 4c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 50 4 M yr sk yl ä- M ör sk om 11 8 1. 0 2 12 6 18 .4 2 52 0 21 .8 2 73 8 23 .7 1 89 8 16 .4 1 00 1 8. 7 68 7 5. 9 33 4 2. 9 15 7 1. 4 11 5 79 10 0. 0 50 5 M än ts äl ä 53 3 1. 6 7 67 5 22 .5 6 34 2 18 .6 7 53 0 22 .1 5 99 4 17 .6 3 68 5 10 .8 1 43 2 4. 2 64 2 1. 9 21 7 0. 6 34 0 49 10 0. 0 53 2 N as to la 22 6 1. 1 4 97 6 23 .5 5 15 4 24 .3 3 84 7 18 .2 2 99 6 14 .2 2 36 9 11 .2 88 1 4. 2 41 3 2. 0 31 4 1. 5 21 1 75 10 0. 0 54 0 N um m i-P us ul a 48 0 1. 7 7 11 2 25 .2 6 51 1 23 .1 5 42 9 19 .3 3 35 8 11 .9 2 28 6 8. 1 1 64 6 5. 8 84 1 3. 0 54 5 1. 9 28 2 08 10 0. 0 54 3 N ur m ijä rv i 37 3 2. 2 5 12 8 30 .7 3 53 7 21 .2 2 94 9 17 .6 2 10 6 12 .6 1 07 4 6. 4 84 0 5. 0 45 7 2. 7 26 0 1. 6 16 7 25 10 0. 0 56 0 O rim at til a 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5 18 .7 1 48 4 14 .7 78 5 7. 8 47 4 4. 7 24 6 2. 4 13 6 1. 4 10 0 72 10 0. 0 92 7 V ih ti 36 9 1. 3 6 30 3 22 .6 6 35 2 22 .8 5 69 1 20 .4 3 84 6 13 .8 2 23 5 8. 0 1 60 7 5. 8 92 2 3. 3 57 3 2. 1 27 8 99 10 0. 0 98 1 Y pä jä 83 1. 1 1 45 0 18 .8 1 81 0 23 .4 1 04 5 13 .5 1 42 5 18 .4 95 8 12 .4 57 6 7. 5 21 7 2. 8 17 0 2. 2 7 73 3 10 0. 0 To ta l 11 3 63 1. 3 20 3 40 3 22 .8 19 4 15 4 21 .7 16 9 73 5 19 .0 14 2 67 3 16 .0 87 7 56 9. 8 50 3 15 5. 6 23 6 59 2. 7 10 6 29 1. 2 89 3 68 8 10 0. 0 Ka ak ko is -S uo m i 07 5 H am in a 1 10 2 2. 5 10 7 90 24 .8 10 1 67 23 .4 7 91 6 18 .2 4 60 7 10 .6 4 39 0 10 .1 3 49 1 8. 0 86 5 2. 0 15 6 0. 4 43 4 85 10 0. 0 14 2 Ii tti 38 3 1. 0 7 69 1 19 .5 9 38 8 23 .8 7 29 0 18 .5 6 48 5 16 .4 4 54 7 11 .5 2 43 0 6. 2 1 05 3 2. 7 21 3 0. 5 39 4 80 10 0. 0 15 3 Im at ra 21 8 2. 2 2 62 2 26 .7 2 22 7 22 .7 1 62 0 16 .5 1 36 8 13 .9 89 0 9. 1 62 8 6. 4 21 9 2. 2 38 0. 4 9 83 1 10 0. 0 28 5 K ot ka 51 3 2. 9 5 12 9 29 .0 4 31 1 24 .4 2 78 9 15 .8 1 74 3 9. 9 1 55 0 8. 8 1 18 4 6. 7 36 1 2. 0 12 1 0. 7 17 7 02 10 0. 0 28 6 K ou vo la 2 23 1 1. 3 35 2 98 20 .5 38 3 75 22 .3 33 1 08 19 .2 23 0 14 13 .4 22 2 44 12 .9 12 7 51 7. 4 4 28 9 2. 5 84 8 0. 5 17 2 15 8 10 0. 0 40 5 L ap pe en ra nt a 1 64 7 2. 3 19 8 57 27 .5 15 7 19 21 .7 12 1 53 16 .8 8 90 6 12 .3 7 35 5 10 .2 5 02 3 6. 9 1 30 7 1. 8 38 6 0. 5 72 3 52 10 0. 0 41 6 L em i 30 8 1. 9 4 82 9 29 .8 3 74 1 23 .1 2 70 4 16 .7 1 90 6 11 .7 1 55 0 9. 6 86 1 5. 3 21 9 1. 4 11 6 0. 7 16 2 35 10 0. 0 44 1 L uu m äk i 1 26 1 2. 1 13 4 06 22 .8 13 2 61 22 .5 10 9 76 18 .6 6 76 1 11 .5 6 81 3 11 .6 4 76 0 8. 1 1 34 0 2. 3 33 2 0. 6 58 9 10 10 0. 0 48 9 M ie hi kk äl ä 67 0 2. 1 6 82 1 21 .7 7 30 6 23 .2 6 13 4 19 .5 3 70 5 11 .8 3 73 5 11 .9 2 36 3 7. 5 45 7 1. 5 27 7 0. 9 31 4 67 10 0. 0 58 0 P ar ik ka la 54 8 1. 3 11 8 30 27 .6 13 7 81 32 .2 7 17 1 16 .7 4 54 3 10 .6 2 55 1 6. 0 1 70 0 4. 0 50 9 1. 2 19 7 0. 5 42 8 31 10 0. 0 62 4 P yh tä ä- Py tti s 12 4 0. 7 2 77 4 15 .6 4 09 9 23 .1 4 06 5 22 .9 2 84 0 16 .0 1 98 3 11 .2 1 06 4 6. 0 50 6 2. 9 31 5 1. 8 17 7 71 10 0. 0 68 9 R au tjä rv i 53 3 1. 9 7 14 6 25 .2 7 86 9 27 .7 4 97 6 17 .5 3 54 0 12 .5 2 05 1 7. 2 1 72 1 6. 1 40 7 1. 4 12 5 0. 4 28 3 68 10 0. 0 70 0 R uo ko la ht i 1 06 7 1. 3 17 4 32 21 .9 21 0 80 26 .4 15 6 16 19 .6 10 2 14 12 .8 7 78 7 9. 8 4 56 1 5. 7 1 42 5 1. 8 60 0 0. 8 79 7 80 10 0. 0 73 9 S av ita ip al e 68 4 1. 6 11 3 78 26 .6 10 4 60 24 .4 8 54 3 19 .9 4 43 5 10 .4 4 02 2 9. 4 2 37 9 5. 6 67 9 1. 6 26 7 0. 6 42 8 47 10 0. 0 77 5 S uo m en ni em i 31 5 1. 3 5 02 0 20 .9 5 95 1 24 .7 5 11 6 21 .2 2 42 0 10 .1 2 71 3 11 .3 1 82 8 7. 6 54 2 2. 3 17 8 0. 7 24 0 84 10 0. 0 83 1 Ta ip al sa ar i 26 8 1. 0 6 28 1 24 .2 6 38 6 24 .6 5 48 9 21 .1 2 96 0 11 .4 2 41 9 9. 3 1 47 9 5. 7 63 7 2. 5 77 0. 3 25 9 96 10 0. 0 93 5 V iro la ht i 74 8 2. 9 5 72 9 22 .3 6 14 2 23 .9 4 87 3 19 .0 2 74 9 10 .7 3 20 2 12 .5 1 76 0 6. 9 25 3 1. 0 24 4 1. 0 25 7 00 10 0. 0 97 8 Y lä m aa 56 5 1. 9 6 16 1 20 .4 7 02 6 23 .3 5 80 6 19 .2 3 92 4 13 .0 3 32 1 11 .0 2 56 3 8. 5 59 8 2. 0 22 9 0. 8 30 1 92 10 0. 0 To ta l 13 1 85 1. 7 18 0 19 5 23 .1 18 7 28 9 24 .0 14 6 34 5 18 .8 96 1 22 12 .3 83 1 22 10 .7 52 5 48 6. 7 15 6 67 2. 0 4 71 7 0. 6 77 9 18 9 10 0. 0 Pi rk an m aa 02 0 A ka a 67 1. 3 1 31 8 25 .8 1 33 4 26 .1 80 6 15 .8 79 1 15 .5 45 9 9. 0 21 8 4. 3 72 1. 4 53 1. 0 5 11 7 10 0. 0 10 8 H äm ee nk yr ö 30 9 1. 1 5 68 7 20 .2 7 33 8 26 .1 5 79 9 20 .6 4 07 0 14 .5 2 67 4 9. 5 1 20 0 4. 3 67 3 2. 4 35 7 1. 3 28 1 08 10 0. 0 14 3 Ik aa lin en 73 6 1. 3 11 0 66 20 .1 13 2 73 24 .1 11 1 72 20 .3 7 83 0 14 .2 5 32 3 9. 7 2 87 2 5. 2 1 70 9 3. 1 99 6 1. 8 54 9 78 10 0. 0 17 7 J uu pa jo ki 26 3 1. 4 3 93 6 20 .2 4 15 6 21 .4 3 92 8 20 .2 2 90 4 14 .9 2 28 7 11 .8 1 00 7 5. 2 57 0 2. 9 40 5 2. 1 19 4 56 10 0. 0 21 1 K an ga sa la 72 2 2. 3 6 74 0 21 .5 6 88 5 22 .0 6 56 1 21 .0 4 13 3 13 .2 3 27 2 10 .5 1 60 5 5. 1 42 5 1. 4 94 2 3. 0 31 2 86 10 0. 0 25 0 K ih ni ö 34 8 1. 3 3 59 7 13 .2 5 17 3 18 .9 6 17 2 22 .6 4 76 0 17 .4 3 04 5 11 .1 2 27 8 8. 3 1 23 7 4. 5 74 3 2. 7 27 3 53 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 120 Ta bl e 4c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 28 9 K uh m al ah ti 21 7 1. 8 3 07 5 24 .9 2 71 5 22 .0 2 26 8 18 .4 1 73 8 14 .1 1 08 9 8. 8 67 6 5. 5 44 3 3. 6 10 7 0. 9 12 3 28 10 0. 0 31 0 K yl m äk os ki 11 4 1. 1 2 21 3 20 .6 2 61 8 24 .4 1 64 4 15 .3 2 08 8 19 .5 1 09 4 10 .2 63 0 5. 9 14 9 1. 4 18 6 1. 7 10 7 37 10 0. 0 41 8 L em pä äl ä 78 3 4. 6 3 33 5 19 .5 4 02 1 23 .5 4 06 4 23 .7 1 90 8 11 .1 2 04 1 11 .9 59 5 3. 5 20 1 1. 2 18 5 1. 1 17 1 32 10 0. 0 50 8 M än ttä -V ilp pu la 49 0 1. 1 7 89 2 18 .3 9 83 4 22 .9 9 12 0 21 .2 6 53 4 15 .2 4 58 4 10 .7 2 47 8 5. 8 1 37 2 3. 2 72 9 1. 7 43 0 33 10 0. 0 53 6 N ok ia 35 5 1. 9 3 85 6 20 .9 4 46 6 24 .3 4 20 4 22 .8 2 31 9 12 .6 1 91 2 10 .4 71 9 3. 9 39 4 2. 1 19 3 1. 1 18 4 18 10 0. 0 56 2 O riv es i 82 3 1. 3 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5 0. 7 45 1 15 10 0. 0 49 1 M ik ke li 1 49 6 1. 1 34 3 69 26 .0 30 7 34 23 .3 21 7 73 16 .5 16 7 67 12 .7 15 4 09 11 .7 8 01 3 6. 1 3 04 9 2. 3 41 7 0. 3 13 2 02 6 10 0. 0 50 7 M än ty ha rju 90 6 1. 1 17 3 77 21 .4 19 0 91 23 .5 16 5 02 20 .4 9 88 7 12 .2 9 17 9 11 .3 5 91 8 7. 3 1 83 0 2. 3 40 2 0. 5 81 0 91 10 0. 0 58 8 P er tu nm aa 26 1 0. 9 7 87 8 25 .9 7 61 0 25 .0 5 11 5 16 .8 4 21 1 13 .9 3 12 8 10 .3 1 65 3 5. 4 53 8 1. 8 19 0. 1 30 4 14 10 0. 0 59 3 P ie ks äm äk i 2 36 0 1. 8 31 0 24 23 .3 32 7 45 24 .6 21 7 82 16 .4 14 8 37 11 .1 17 3 83 13 .1 8 61 6 6. 5 3 77 8 2. 8 71 6 0. 5 13 3 24 1 10 0. 0 61 8 P un ka ha rju 53 5 1. 4 8 86 5 23 .2 11 7 55 30 .7 6 80 0 17 .8 4 51 1 11 .8 3 10 7 8. 1 1 78 5 4. 7 49 5 1. 3 38 0 1. 0 38 2 35 10 0. 0 62 3 P uu m al a 51 4 0. 8 14 8 66 22 .2 20 2 43 30 .3 13 3 78 20 .0 6 70 2 10 .0 6 74 1 10 .1 3 35 8 5. 0 87 4 1. 3 18 3 0. 3 66 8 58 10 0. 0 68 1 R an ta sa lm i 77 0 1. 9 12 4 43 30 .2 10 8 99 26 .5 6 36 5 15 .5 4 32 6 10 .5 3 16 8 7. 7 2 22 2 5. 4 76 1 1. 9 21 8 0. 5 41 1 72 10 0. 0 69 6 R is tii na 45 5 1. 0 10 4 22 22 .7 10 7 15 23 .3 8 74 1 19 .0 5 57 9 12 .2 5 33 8 11 .6 3 26 9 7. 1 1 12 7 2. 5 25 6 0. 6 45 9 03 10 0. 0 74 0 S av on lin na 1 46 9 1. 5 24 3 39 25 .0 27 8 32 28 .6 17 2 31 17 .7 10 7 72 11 .1 7 68 0 7. 9 5 46 2 5. 6 1 74 8 1. 8 67 3 0. 7 97 2 06 10 0. 0 76 8 S ul ka va 83 8 1. 7 13 3 68 27 .1 13 4 74 27 .3 8 79 3 17 .8 5 20 1 10 .5 4 18 2 8. 5 2 47 9 5. 0 67 0 1. 4 33 2 0. 7 49 3 38 10 0. 0 To ta l 15 6 64 1. 4 27 9 32 4 24 .7 29 1 77 8 25 .8 19 6 23 9 17 .3 13 1 38 8 11 .6 12 0 14 5 10 .6 67 7 50 6. 0 23 7 61 2. 1 5 71 7 0. 5 1 13 1 76 7 10 0. 0 Et el ä- Po hj an m aa 00 5 A la jä rv i 1 35 0 1. 8 12 2 50 16 .4 13 6 14 18 .2 15 3 45 20 .5 11 8 70 15 .9 9 14 7 12 .2 5 64 1 7. 5 3 86 9 5. 2 1 72 6 2. 3 74 8 11 10 0. 0 01 0 A la vu s 1 19 7 2. 2 10 3 60 19 .1 9 93 8 18 .4 9 61 8 17 .8 9 75 3 18 .0 5 38 2 9. 9 4 15 9 7. 7 2 98 8 5. 5 74 9 1. 4 54 1 44 10 0. 0 05 2 E vi jä rv i 47 9 2. 0 4 76 7 20 .3 4 56 3 19 .5 4 53 8 19 .4 3 39 1 14 .5 2 72 3 11 .6 1 54 5 6. 6 90 7 3. 9 53 4 2. 3 23 4 47 10 0. 0 07 4 H al su a 24 1 0. 9 3 00 8 11 .3 6 08 2 22 .9 5 13 1 19 .3 3 13 4 11 .8 3 43 4 12 .9 1 76 2 6. 6 2 01 5 7. 6 1 78 2 6. 7 26 5 89 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 121 Ta bl e 4c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 09 5 H im an ka 38 7 2. 2 2 74 3 15 .3 3 59 3 20 .0 3 72 6 20 .7 2 63 8 14 .7 2 07 9 11 .6 1 25 3 7. 0 92 2 5. 1 64 3 3. 6 17 9 84 10 0. 0 14 5 Il m aj ok i 65 5 2. 0 7 70 3 22 .9 7 26 6 21 .6 4 66 5 13 .9 4 36 8 13 .0 3 49 5 10 .4 3 01 0 9. 0 1 92 6 5. 7 53 4 1. 6 33 6 22 10 0. 0 15 1 Is oj ok i 58 8 1. 4 6 71 6 15 .5 7 75 9 17 .9 8 98 2 20 .7 7 31 2 16 .9 4 97 9 11 .5 3 40 6 7. 9 2 56 3 5. 9 1 03 6 2. 4 43 3 42 10 0. 0 15 2 Is ok yr ö 33 7 1. 8 4 30 3 22 .6 4 68 3 24 .6 2 64 6 13 .9 2 24 1 11 .8 1 91 1 10 .1 1 54 9 8. 2 87 2 4. 6 46 4 2. 4 19 0 06 10 0. 0 16 4 J al as jä rv i 1 27 1 2. 6 10 8 99 21 .9 8 62 8 17 .3 9 18 5 18 .4 7 57 9 15 .2 4 91 5 9. 9 3 82 1 7. 7 2 41 2 4. 8 1 09 2 2. 2 49 8 02 10 0. 0 21 7 K an nu s 46 4 1. 5 5 20 6 16 .2 5 54 8 17 .3 6 53 5 20 .4 4 56 8 14 .2 3 99 9 12 .5 2 61 9 8. 2 1 81 6 5. 7 1 35 1 4. 2 32 1 06 10 0. 0 21 8 K ar ijo ki 13 1 1. 1 2 19 6 17 .9 2 82 3 23 .1 1 83 9 15 .0 1 59 9 13 .1 1 45 6 11 .9 1 18 7 9. 7 80 6 6. 6 20 6 1. 7 12 2 45 10 0. 0 23 2 K au ha jo ki 1 39 9 1. 8 14 1 63 18 .2 13 6 51 17 .5 17 9 82 23 .1 11 7 76 15 .1 7 90 2 10 .1 5 24 0 6. 7 4 59 5 5. 9 1 28 6 1. 7 77 9 94 10 0. 0 23 3 K au ha va 1 71 1 2. 3 13 6 20 18 .2 15 1 71 20 .2 14 1 75 18 .9 10 3 37 13 .8 9 20 8 12 .3 5 72 5 7. 6 3 18 9 4. 3 1 80 7 2. 4 74 9 44 10 0. 0 23 6 K au st in en 39 8 1. 7 3 54 1 15 .5 4 43 3 19 .4 4 82 7 21 .1 3 39 5 14 .8 2 73 4 11 .9 1 64 2 7. 2 1 18 0 5. 2 75 1 3. 3 22 9 01 10 0. 0 27 2 K ok ko la -K ar le by 1 65 0 1. 8 15 6 69 16 .9 19 5 96 21 .1 18 2 07 19 .6 13 3 20 14 .3 10 6 66 11 .5 6 17 0 6. 6 4 38 3 4. 7 3 34 0 3. 6 93 0 00 10 0. 0 30 0 K uo rta ne 81 6 2. 5 6 54 6 19 .7 5 46 6 16 .5 5 70 4 17 .2 5 38 7 16 .2 3 97 2 12 .0 2 65 5 8. 0 1 91 0 5. 8 72 4 2. 2 33 1 80 10 0. 0 30 1 K ur ik ka 1 12 7 1. 9 13 4 55 22 .9 13 4 40 22 .8 8 11 6 13 .8 7 31 5 12 .4 6 31 8 10 .7 5 06 2 8. 6 3 06 8 5. 2 97 7 1. 7 58 8 78 10 0. 0 39 9 L ai hi a 48 0 1. 5 6 00 1 18 .7 7 69 9 24 .0 4 59 1 14 .3 4 18 9 13 .1 3 65 0 11 .4 2 96 5 9. 3 1 76 2 5. 5 72 7 2. 3 32 0 65 10 0. 0 40 3 L ap pa jä rv i 47 8 1. 7 4 03 7 14 .3 5 15 9 18 .3 5 61 7 19 .9 4 32 5 15 .3 4 17 0 14 .8 2 37 6 8. 4 1 35 6 4. 8 71 8 2. 5 28 2 35 10 0. 0 40 8 L ap ua 57 2 1. 4 6 23 9 15 .0 8 71 8 21 .0 8 28 7 20 .0 6 45 4 15 .6 5 26 5 12 .7 3 02 9 7. 3 1 84 8 4. 5 1 09 6 2. 6 41 5 07 10 0. 0 42 1 L es tij är vi 62 6 1. 9 5 20 7 16 .0 6 09 1 18 .7 5 78 9 17 .8 5 93 6 18 .3 4 29 1 13 .2 2 14 9 6. 6 1 57 1 4. 8 85 3 2. 6 32 5 13 10 0. 0 58 4 P er ho 67 1 1. 4 5 62 5 12 .0 9 36 8 20 .0 9 82 0 20 .9 8 56 1 18 .3 5 76 4 12 .3 3 18 8 6. 8 2 22 6 4. 7 1 69 5 3. 6 46 9 19 10 0. 0 74 3 S ei nä jo ki 1 96 4 2. 3 20 4 79 23 .6 16 2 63 18 .7 15 2 15 17 .5 12 9 74 14 .9 8 70 0 10 .0 5 76 0 6. 6 4 16 3 4. 8 1 32 7 1. 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6 47 4 19 .3 3 45 6 10 .3 2 02 4 6. 0 1 47 4 4. 4 93 7 2. 8 33 5 05 10 0. 0 41 0 L au ka a 78 9 1. 6 14 9 05 30 .7 12 5 15 25 .8 7 07 0 14 .6 5 11 9 10 .6 5 00 0 10 .3 2 01 1 4. 1 67 8 1. 4 43 3 0. 9 48 5 20 10 0. 0 43 5 L uh an ka 14 1 0. 8 4 51 9 25 .9 4 09 3 23 .5 3 03 3 17 .4 2 64 8 15 .2 1 67 5 9. 6 75 3 4. 3 43 9 2. 5 15 3 0. 9 17 4 54 10 0. 0 49 5 M ul tia 77 8 1. 2 8 25 9 13 .0 14 3 00 22 .6 13 0 86 20 .6 10 7 24 16 .9 7 36 7 11 .6 4 72 7 7. 5 2 38 7 3. 8 1 77 7 2. 8 63 4 06 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 122 Ta bl e 4c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 50 0 M uu ra m e 15 1 1. 4 3 14 2 28 .3 2 86 1 25 .7 1 74 8 15 .7 1 46 9 13 .2 1 00 4 9. 0 41 5 3. 7 26 0 2. 3 69 0. 6 11 1 20 10 0. 0 59 2 P et äj äv es i 40 6 1. 1 10 2 03 27 .0 10 0 10 26 .5 6 48 5 17 .2 4 79 6 12 .7 3 93 8 10 .4 1 17 4 3. 1 42 9 1. 1 31 9 0. 8 37 7 61 10 0. 0 60 1 P ih tip ud as 88 7 1. 0 12 0 96 13 .9 17 7 66 20 .3 13 9 80 16 .0 19 6 49 22 .5 14 5 75 16 .7 5 19 2 5. 9 1 91 0 2. 2 1 29 7 1. 5 87 3 52 10 0. 0 72 9 S aa rij är vi 1 30 6 1. 3 16 7 97 16 .5 23 6 34 23 .3 20 3 33 20 .0 15 3 50 15 .1 11 0 07 10 .8 6 66 4 6. 6 3 70 3 3. 7 2 75 6 2. 7 10 1 55 0 10 0. 0 85 0 To iva kk a 43 7 1. 5 8 43 3 28 .4 7 44 1 25 .0 4 58 8 15 .4 3 62 8 12 .2 3 16 3 10 .6 1 31 2 4. 4 55 5 1. 9 18 4 0. 6 29 7 42 10 0. 0 89 2 U 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69 2 2. 9 1 32 7 2. 3 57 9 68 10 0. 0 22 7 K ar ttu la 81 5 2. 0 10 5 63 25 .6 11 3 10 27 .4 6 19 9 15 .0 4 55 0 11 .0 4 70 9 11 .4 2 27 1 5. 5 58 3 1. 4 22 5 0. 6 41 2 24 10 0. 0 23 9 K ei te le 48 0 1. 2 9 47 2 23 .2 9 57 5 23 .4 7 11 9 17 .4 6 87 9 16 .8 4 55 6 11 .2 2 04 1 5. 0 57 4 1. 4 18 0 0. 4 40 8 75 10 0. 0 26 3 K iu ru ve si 1 39 0 1. 4 20 8 97 21 .4 22 0 87 22 .6 18 9 27 19 .4 15 2 60 15 .6 12 5 47 12 .8 5 03 8 5. 2 80 2 0. 8 82 8 0. 9 97 7 77 10 0. 0 29 7 K uo pi o 1 14 1 1. 3 21 0 36 24 .2 22 9 96 26 .4 14 4 95 16 .6 10 7 68 12 .4 9 05 6 10 .4 4 04 6 4. 7 2 33 1 2. 7 1 21 4 1. 4 87 0 84 10 0. 0 40 2 L ap in la ht i 61 9 1. 4 11 5 91 25 .4 12 6 76 27 .8 6 89 2 15 .1 5 74 8 12 .6 5 10 9 11 .2 2 22 9 4. 9 50 1 1. 1 30 2 0. 7 45 6 67 10 0. 0 42 0 L ep pä vi rta 1 35 1 1. 5 19 3 78 21 .0 26 2 79 28 .5 14 6 91 15 .9 10 2 39 11 .1 11 4 42 12 .4 5 86 9 6. 4 2 18 5 2. 4 91 4 1. 0 92 3 48 10 0. 0 47 6 M aa ni nk a 49 5 1. 5 9 09 7 26 .8 9 47 2 27 .9 4 70 9 13 .9 3 54 4 10 .5 3 64 1 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24 .8 9 35 7 15 .6 7 07 1 11 .8 7 79 2 13 .0 3 76 6 6. 3 1 29 9 2. 2 44 0 0. 7 60 0 55 10 0. 0 84 4 Te rv o 39 4 1. 4 8 51 7 29 .4 7 32 3 25 .2 4 39 0 15 .1 3 37 9 11 .6 3 07 2 10 .6 1 39 3 4. 8 44 6 1. 5 10 4 0. 4 29 0 19 10 0. 0 85 7 Tu us ni em i 56 8 1. 3 10 6 24 24 .0 12 7 47 28 .8 7 33 3 16 .6 4 90 6 11 .1 4 58 9 10 .4 2 12 8 4. 8 97 3 2. 2 42 9 1. 0 44 2 97 10 0. 0 91 5 V ar ka us 49 0 1. 6 5 92 0 19 .6 8 83 6 29 .2 5 05 7 16 .7 3 21 1 10 .6 3 88 2 12 .8 1 84 7 6. 1 72 4 2. 4 31 9 1. 1 30 2 86 10 0. 0 91 6 V ar pa is jä rv i 62 3 1. 7 9 76 7 26 .1 9 06 2 24 .2 6 53 5 17 .4 4 55 1 12 .1 4 25 3 11 .3 1 88 4 5. 0 53 0 1. 4 28 7 0. 8 37 4 93 10 0. 0 92 1 V es an to 33 1 0. 9 9 14 6 26 .0 8 48 1 24 .1 6 29 5 17 .9 4 77 8 13 .6 3 80 9 10 .8 1 60 2 4. 6 69 2 2. 0 11 0 0. 3 35 2 43 10 0. 0 92 5 V ie re m ä 99 6 1. 4 14 0 72 20 .0 16 9 20 24 .0 13 5 23 19 .2 11 0 30 15 .6 8 69 9 12 .3 3 62 2 5. 1 99 7 1. 4 64 0 0. 9 70 4 99 10 0. 0 To ta l 17 5 74 1. 3 29 4 38 2 22 .3 34 1 27 0 25 .8 23 0 29 5 17 .4 17 4 59 9 13 .2 15 4 78 1 11 .7 71 8 96 5. 4 24 0 19 1. 8 12 8 95 1. 0 1 32 1 71 0 10 0. 0 Po hj oi s- Ka rja la 14 6 Il om an ts i 2 18 3 1. 0 27 2 60 13 .0 44 9 08 21 .5 56 1 36 26 .9 40 9 11 19 .6 17 5 45 8. 4 8 66 8 4. 2 4 50 4 2. 2 6 88 8 3. 3 20 9 00 3 10 0. 0 16 7 J oe ns uu 2 81 3 1. 4 43 2 59 22 .0 49 3 92 25 .1 40 7 53 20 .7 23 3 51 11 .9 17 9 23 9. 1 13 1 77 6. 7 4 26 1 2. 2 2 16 6 1. 1 19 7 09 5 10 0. 0 17 6 J uu ka 1 60 5 1. 3 23 1 03 18 .4 30 1 36 24 .0 29 5 66 23 .5 18 5 76 14 .8 10 7 53 8. 6 7 80 2 6. 2 2 38 1 1. 9 1 80 1 1. 4 12 5 72 1 10 0. 0 24 8 K es äl ah ti 47 9 1. 5 7 12 3 22 .5 8 86 4 28 .0 5 69 5 18 .0 4 13 3 13 .0 2 56 9 8. 1 1 80 1 5. 7 65 5 2. 1 37 4 1. 2 31 6 91 10 0. 0 26 0 K ite e 82 6 1. 2 16 9 95 25 .1 18 2 19 26 .9 11 8 45 17 .5 8 05 0 11 .9 5 59 9 8. 3 4 07 2 6. 0 1 50 0 2. 2 63 4 0. 9 67 7 39 10 0. 0 27 6 K on tio la ht i 1 02 3 1. 6 14 7 00 22 .4 16 2 66 24 .8 12 8 18 19 .5 8 80 5 13 .4 5 94 9 9. 1 3 91 2 6. 0 1 31 9 2. 0 91 8 1. 4 65 7 09 10 0. 0 30 9 O ut ok um pu 57 0 1. 6 8 49 9 24 .0 9 64 7 27 .2 6 47 4 18 .3 4 26 9 12 .1 3 45 4 9. 8 1 68 1 4. 8 59 6 1. 7 22 2 0. 6 35 4 12 10 0. 0 42 2 L ie ks a 3 65 4 1. 3 48 4 62 17 .7 65 4 20 23 .8 65 5 30 23 .9 43 0 69 15 .7 21 9 97 8. 0 11 3 22 4. 1 6 42 6 2. 3 8 61 9 3. 1 27 4 49 9 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 123 Ta bl e 4c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 42 6 L ip er i 96 2 1. 8 14 7 05 27 .9 14 1 23 26 .8 9 12 6 17 .3 5 33 6 10 .1 4 65 4 8. 8 2 37 9 4. 5 1 02 0 1. 9 32 9 0. 6 52 6 35 10 0. 0 54 1 N ur m es 1 37 7 1. 0 23 1 01 17 .1 35 4 46 26 .3 27 0 41 20 .0 18 2 16 13 .5 14 9 44 11 .1 6 54 4 4. 9 3 21 0 2. 4 5 07 5 3. 8 13 4 95 4 10 0. 0 60 7 P ol vi jä rv i 84 5 1. 4 14 3 09 23 .3 15 3 14 25 .0 12 2 19 19 .9 8 17 4 13 .3 5 91 2 9. 6 2 98 2 4. 9 1 12 9 1. 8 41 6 0. 7 61 3 00 10 0. 0 70 7 R ää kk yl ä 35 7 1. 1 8 40 4 25 .7 8 48 1 26 .0 5 91 0 18 .1 3 84 0 11 .8 2 83 3 8. 7 1 64 0 5. 0 85 0 2. 6 34 8 1. 1 32 6 64 10 0. 0 84 8 To hm aj är vi 78 6 1. 2 13 4 44 20 .7 15 6 56 24 .1 14 3 70 22 .1 8 75 5 13 .5 6 10 0 9. 4 3 98 6 6. 1 1 23 4 1. 9 66 5 1. 0 64 9 95 10 0. 0 91 1 V al tim o 53 4 0. 8 12 3 20 18 .2 18 0 65 26 .7 14 4 63 21 .4 8 93 0 13 .2 7 34 6 10 .9 2 93 1 4. 3 1 21 1 1. 8 1 93 0 2. 9 67 7 29 10 0. 0 To ta l 18 0 14 1. 3 27 5 68 4 19 .4 34 9 93 5 24 .6 31 1 94 5 22 .0 20 4 41 4 14 .4 12 7 57 7 9. 0 72 8 94 5. 1 30 2 97 2. 1 30 3 86 2. 1 1 42 1 14 6 10 0. 0 Ka in uu 10 5 H yr yn sa lm i 92 3 0. 9 17 8 03 16 .3 21 4 05 19 .6 26 1 97 24 .0 18 4 48 16 .9 7 84 6 7. 2 3 55 2 3. 3 3 10 0 2. 8 9 77 7 9. 0 10 9 05 0 10 0. 0 20 5 K aj aa ni 1 79 0 1. 2 20 3 55 14 .1 27 6 06 19 .2 33 5 28 23 .3 28 2 59 19 .6 16 1 93 11 .3 6 86 8 4. 8 4 82 5 3. 4 4 52 4 3. 1 14 3 94 7 10 0. 0 29 0 K uh m o 3 16 7 0. 9 55 3 97 15 .4 85 5 84 23 .8 75 2 81 21 .0 58 7 92 16 .4 28 0 26 7. 8 13 8 86 3. 9 13 6 55 3. 8 25 4 42 7. 1 35 9 23 1 10 0. 0 57 8 P al ta m o 88 0 1. 1 13 1 93 17 .0 15 3 52 19 .8 17 6 24 22 .7 11 5 17 14 .8 7 75 1 10 .0 4 46 1 5. 8 2 54 4 3. 3 4 30 9 5. 6 77 6 31 10 0. 0 62 0 P uo la nk a 1 83 6 1. 0 31 7 41 17 .4 37 2 15 20 .4 41 4 43 22 .7 30 8 84 16 .9 15 8 05 8. 7 6 13 6 3. 4 4 45 6 2. 4 12 9 96 7. 1 18 2 51 2 10 0. 0 69 7 R is tij är vi 61 5 0. 9 10 9 22 15 .8 15 2 20 22 .0 18 7 93 27 .2 9 07 2 13 .1 4 90 4 7. 1 1 99 6 2. 9 2 24 8 3. 3 5 35 2 7. 7 69 1 22 10 0. 0 76 5 S ot ka m o 2 21 5 1. 0 33 9 87 15 .4 50 6 15 22 .9 48 6 27 22 .0 36 7 65 16 .7 21 6 63 9. 8 10 7 11 4. 9 6 74 4 3. 1 9 44 3 4. 3 22 0 77 0 10 0. 0 77 7 S uo m us sa lm i 4 53 3 1. 2 64 8 83 17 .6 86 9 17 23 .6 67 0 85 18 .2 58 0 67 15 .8 27 5 33 7. 5 13 6 12 3. 7 11 7 08 3. 2 33 4 74 9. 1 36 7 81 2 10 0. 0 78 5 V aa la 1 67 1 2. 0 11 0 75 13 .1 10 1 27 12 .0 21 3 52 25 .3 20 3 18 24 .0 10 2 65 12 .1 5 02 1 5. 9 2 71 5 3. 2 1 99 9 2. 4 84 5 43 10 0. 0 To ta l 17 6 31 1. 1 25 9 35 7 16 .1 35 0 04 2 21 .7 34 9 93 0 21 .7 27 2 12 0 16 .9 13 9 98 6 8. 7 66 2 42 4. 1 51 9 95 3. 2 10 7 31 6 6. 7 1 61 4 61 9 10 0. 0 Po hj oi s- Po hj an m aa 00 9 A la vi es ka 31 1 2. 0 2 55 0 16 .0 2 54 1 15 .9 3 12 2 19 .6 3 14 0 19 .7 2 11 6 13 .3 1 14 9 7. 2 56 9 3. 6 45 5 2. 9 15 9 52 10 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0 10 0. 0 25 5 K iim in ki 35 7 1. 7 2 48 2 11 .6 2 56 6 12 .0 5 33 9 25 .0 4 11 1 19 .2 3 02 8 14 .2 1 84 0 8. 6 1 01 2 4. 7 63 9 3. 0 21 3 75 10 0. 0 30 5 K uu sa m o 2 43 7 0. 8 50 3 05 15 .9 53 6 16 17 .0 47 9 76 15 .2 48 7 73 15 .5 37 7 95 12 .0 17 1 41 5. 4 9 37 2 3. 0 48 2 45 15 .3 31 5 66 0 10 0. 0 31 7 K är sä m äk i 73 2 1. 4 5 40 1 10 .4 7 66 4 14 .7 10 7 48 20 .6 13 0 06 24 .9 9 59 0 18 .4 3 15 1 6. 0 1 36 5 2. 6 54 4 1. 0 52 2 01 10 0. 0 42 5 L im in ka 56 6 1. 6 5 29 4 15 .0 5 41 4 15 .4 7 95 3 22 .6 7 84 4 22 .2 4 34 7 12 .3 2 28 1 6. 5 87 6 2. 5 69 1 2. 0 35 2 67 10 0. 0 43 6 L um ijo ki 34 2 2. 7 2 52 2 20 .1 1 85 1 14 .8 2 57 4 20 .5 2 35 6 18 .8 1 52 4 12 .2 84 0 6. 7 34 3 2. 7 18 2 1. 5 12 5 34 10 0. 0 48 3 M er ijä rv i 43 8 2. 6 3 16 8 18 .5 2 34 9 13 .7 2 97 2 17 .4 3 76 7 22 .0 2 35 4 13 .8 1 33 4 7. 8 42 0 2. 5 30 4 1. 8 17 1 07 10 0. 0 49 4 M uh os 1 02 6 2. 1 7 06 5 14 .8 6 25 2 13 .1 11 5 21 24 .1 10 4 82 21 .9 5 60 8 11 .7 3 17 7 6. 6 1 54 4 3. 2 1 18 1 2. 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1 10 9 1. 1 10 5 43 1 10 0. 0 63 0 P yh än tä 57 9 1. 0 5 56 2 9. 7 7 69 9 13 .4 12 9 62 22 .6 15 1 12 26 .4 8 44 7 14 .7 4 07 9 7. 1 1 92 8 3. 4 97 6 1. 7 57 3 43 10 0. 0 67 8 R aa he 77 2 2. 0 6 70 1 17 .3 4 72 4 12 .2 7 74 0 19 .9 7 57 5 19 .5 5 73 7 14 .8 3 51 1 9. 0 1 23 8 3. 2 85 9 2. 2 38 8 57 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 124 Ta bl e 4c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te 1- 20 y rs 21 -4 0 yr s 41 -6 0 yr s 61 -8 0 yr s 81 -1 00 y rs 10 1- 12 0 yr s 12 1- 14 0 yr s 14 1+ y rs Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % ha % 69 1 R ei sj är vi 59 0 1. 7 4 32 0 12 .6 5 78 3 16 .9 7 75 9 22 .7 6 83 7 20 .0 4 82 5 14 .1 2 19 0 6. 4 1 30 2 3. 8 59 2 1. 7 34 1 98 10 0. 0 74 6 S ie vi 1 20 3 2. 2 7 28 2 13 .5 8 93 0 16 .6 12 1 39 22 .5 10 1 48 18 .8 7 12 7 13 .2 3 42 0 6. 3 2 48 7 4. 6 1 16 8 2. 2 53 9 04 10 0. 0 74 8 S iik aj ok i 1 91 9 2. 8 11 3 61 16 .7 8 28 7 12 .2 14 3 92 21 .2 14 5 74 21 .5 9 07 5 13 .4 5 06 6 7. 5 1 92 6 2. 8 1 29 6 1. 9 67 8 96 10 0. 0 79 1 S iik al at va 2 06 9 1. 4 15 6 97 10 .3 19 3 52 12 .8 32 8 55 21 .7 39 4 00 26 .0 24 1 97 15 .9 11 4 82 7. 6 3 96 1 2. 6 2 76 1 1. 8 15 1 77 4 10 0. 0 83 2 Ta iva lko sk i 2 13 9 1. 3 26 9 04 16 .4 33 8 82 20 .6 30 7 84 18 .7 26 7 68 16 .3 12 9 49 7. 9 7 09 0 4. 3 3 99 4 2. 4 19 7 25 12 .0 16 4 23 4 10 0. 0 85 9 Ty rn äv ä 65 1 2. 3 4 06 9 14 .4 3 81 5 13 .5 6 48 7 23 .0 6 29 6 22 .3 3 42 4 12 .1 1 92 2 6. 8 83 1 2. 9 73 3 2. 6 28 2 27 10 0. 0 88 9 U ta jä rv i 1 56 5 1. 5 11 2 24 10 .9 12 4 45 12 .1 28 2 92 27 .4 25 9 76 25 .2 11 6 90 11 .3 6 10 9 5. 9 3 44 7 3. 3 2 48 7 2. 4 10 3 23 4 10 0. 0 92 6 V ih an ti 70 4 2. 0 5 00 1 14 .5 3 87 6 11 .2 6 93 7 20 .1 8 27 5 23 .9 5 26 4 15 .2 2 84 1 8. 2 1 06 3 3. 1 63 1 1. 8 34 5 92 10 0. 0 97 2 Y li- Ii 54 7 1. 1 5 53 9 11 .0 6 73 8 13 .4 12 5 69 25 .0 12 6 63 25 .2 5 81 3 11 .6 3 22 0 6. 4 1 48 8 3. 0 1 68 7 3. 4 50 2 63 10 0. 0 97 7 Y liv ie sk a 58 4 1. 4 6 91 9 17 .1 6 17 4 15 .2 6 86 8 16 .9 9 11 6 22 .5 5 95 5 14 .7 2 84 8 7. 0 1 20 6 3. 0 91 5 2. 3 40 5 85 10 0. 0 To ta l 33 5 24 1. 4 32 8 27 5 14 .1 36 0 97 0 15 .5 48 4 21 9 20 .8 49 1 96 1 21 .1 30 0 15 1 12 .9 14 5 43 3 6. 3 65 9 88 2. 8 11 8 13 4 5. 1 2 32 8 65 6 10 0. 0 La pl an d 04 7 E no nt ek iö 18 8 0. 3 3 45 3 5. 2 2 29 8 3. 5 5 89 5 8. 9 9 69 5 14 .7 12 8 32 19 .4 3 10 6 4. 7 1 22 1 1. 9 27 4 69 41 .5 66 1 57 10 0. 0 14 8 In ar i 70 0 0. 2 13 4 37 3. 5 22 2 48 5. 8 48 6 55 12 .6 77 5 60 20 .0 37 6 23 9. 7 10 8 70 2. 8 5 82 5 1. 5 17 0 15 0 44 .0 38 7 06 8 10 0. 0 24 0 K em i 12 7 2. 1 1 18 8 19 .6 1 29 5 21 .4 1 02 4 16 .9 77 7 12 .9 41 2 6. 8 55 4 9. 2 49 4 8. 2 17 4 2. 9 6 04 6 10 0. 0 24 1 K em in m aa 67 1 1. 7 5 88 0 14 .7 6 77 2 16 .9 8 43 7 21 .0 7 85 2 19 .6 4 00 4 10 .0 2 05 1 5. 1 2 11 6 5. 3 2 35 9 5. 9 40 1 43 10 0. 0 26 1 K itt ilä 3 53 7 0. 9 54 1 22 14 .2 49 9 22 13 .1 54 7 82 14 .4 70 4 56 18 .5 57 4 38 15 .1 12 7 32 3. 3 6 49 6 1. 7 71 4 14 18 .8 38 0 89 8 10 0. 0 27 3 K ol ar i 1 30 5 0. 8 19 7 28 11 .9 25 3 16 15 .3 28 2 33 17 .0 34 0 85 20 .5 26 6 98 16 .1 8 01 2 4. 8 4 10 3 2. 5 18 4 41 11 .1 16 5 92 2 10 0. 0 32 0 K em ijä rv i 1 26 5 0. 5 30 0 02 12 .3 29 7 61 12 .2 48 7 72 19 .9 59 2 22 24 .2 31 6 32 12 .9 11 0 32 4. 5 3 95 4 1. 6 29 1 93 11 .9 24 4 83 3 10 0. 0 49 8 M uo ni o 1 55 4 1. 5 12 3 14 12 .1 17 6 70 17 .4 9 12 4 9. 0 12 8 45 12 .7 8 63 8 8. 5 7 53 3 7. 4 6 63 0 6. 5 25 1 40 24 .8 10 1 44 7 10 0. 0 58 3 P el ko se nn ie m i 33 2 0. 3 15 6 00 14 .6 21 8 81 20 .5 20 7 16 19 .4 17 2 60 16 .2 10 2 41 9. 6 3 37 0 3. 2 2 34 8 2. 2 14 8 90 14 .0 10 6 63 8 10 0. 0 61 4 P os io 1 63 1 0. 9 28 2 27 16 .0 26 2 89 14 .9 27 4 55 15 .6 36 9 36 20 .9 20 7 13 11 .7 8 13 4 4. 6 3 67 1 2. 1 23 5 15 13 .3 17 6 57 0 10 0. 0 68 3 R an ua 1 43 9 0. 7 28 1 69 13 .9 40 9 35 20 .2 42 8 26 21 .1 46 1 83 22 .8 18 8 12 9. 3 8 78 2 4. 3 4 14 0 2. 0 11 7 15 5. 8 20 3 00 1 10 0. 0 69 8 R ov an ie m i 4 38 9 0. 8 82 0 64 15 .6 78 1 14 14 .8 10 0 69 8 19 .1 11 5 90 8 22 .0 55 4 37 10 .5 21 4 97 4. 1 9 63 3 1. 8 58 8 34 11 .2 52 6 57 4 10 0. 0 73 2 S al la 2 41 0 0. 8 45 5 05 14 .4 56 9 20 18 .0 49 2 43 15 .6 46 7 90 14 .8 26 2 20 8. 3 9 19 8 2. 9 6 41 4 2. 0 73 5 47 23 .3 31 6 24 8 10 0. 0 74 2 S av uk os ki 2 83 9 0. 9 60 8 43 18 .3 41 1 66 12 .4 47 0 44 14 .1 58 8 44 17 .7 40 8 04 12 .3 11 9 50 3. 6 6 09 8 1. 8 63 5 85 19 .1 33 3 17 2 10 0. 0 75 1 S im o 92 3 1. 2 10 0 15 13 .0 12 5 69 16 .3 17 0 77 22 .1 17 9 87 23 .3 8 97 4 11 .6 3 78 5 4. 9 2 26 7 2. 9 3 66 9 4. 8 77 2 65 10 0. 0 75 8 S od an ky lä 4 44 7 0. 9 92 6 19 18 .8 60 0 95 12 .2 64 3 72 13 .1 85 6 97 17 .4 61 5 32 12 .5 14 2 05 2. 9 6 12 3 1. 2 10 3 13 9 21 .0 49 2 22 7 10 0. 0 84 5 Te rv ol a 1 32 3 1. 3 16 0 46 15 .7 15 4 11 15 .1 21 2 19 20 .8 20 6 50 20 .2 12 9 82 12 .7 4 27 9 4. 2 2 06 4 2. 0 8 12 9 8. 0 10 2 10 2 10 0. 0 85 1 To rn io 64 2 0. 8 13 5 43 17 .4 10 7 82 13 .8 16 7 69 21 .5 14 0 08 18 .0 8 50 8 10 .9 3 78 9 4. 9 4 31 9 5. 5 5 65 5 7. 3 78 0 15 10 0. 0 85 4 P el lo 1 12 2 0. 9 17 8 28 13 .6 22 9 53 17 .4 32 4 62 24 .7 26 8 34 20 .4 11 9 43 9. 1 2 03 8 1. 6 1 63 4 1. 2 14 8 04 11 .3 13 1 61 8 10 0. 0 89 0 U ts jo ki 0 0. 0 95 3. 3 14 0. 5 80 5 28 .4 1 48 7 52 .4 84 3. 0 58 2. 0 52 1. 8 24 5 8. 6 2 84 0 10 0. 0 97 6 Y lit or ni o 1 50 4 1. 1 22 3 45 16 .3 22 0 43 16 .1 36 4 67 26 .6 24 8 30 18 .1 11 2 70 8. 2 4 86 5 3. 6 2 19 7 1. 6 11 4 47 8. 4 13 6 96 7 10 0. 0 To ta l 32 3 47 0. 8 57 3 02 2 14 .1 56 4 45 5 13 .9 68 2 07 3 16 .7 78 5 90 6 19 .3 46 6 79 8 11 .5 15 1 84 0 3. 7 81 8 00 2. 0 73 7 51 3 18 .1 4 07 5 75 2 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 125 Table 4d. The mean volume of growing stock in age classes on forest land available for wood supply by forestry centres. Forestry centre Open regeneration site 1-20 yrs 21-40 yrs 41-60 yrs 61-80 yrs 81-100 yrs 101-120 yrs 121-140 yrs 141+ yrs Forest land total Municipality m3/ha Åland 035 Brändö 2.8 30.5 86.7 125.7 229.2 174.5 167.0 198.9 244.4 128.4 043 Eckerö 7.8 35.7 116.0 188.0 219.6 212.1 178.1 219.3 262.0 153.3 060 Finström 5.1 36.6 115.1 198.5 232.1 214.1 190.3 227.9 258.3 155.0 062 Föglö 3.0 33.1 104.7 163.8 222.2 196.2 184.0 200.2 241.8 151.4 065 Geta 5.6 32.1 107.5 173.3 211.4 202.3 169.8 183.5 239.7 149.4 076 Hammarland 6.2 35.8 117.5 191.0 226.8 211.6 181.9 216.2 256.9 153.6 170 Jomala 4.5 33.6 114.9 194.0 226.9 216.0 182.6 233.3 264.9 149.5 295 Kumlinge 2.9 28.5 73.1 108.6 218.5 216.3 94.7 221.0 248.3 131.5 318 Kökar 1.9 9.7 11.6 157.9 97.6 144.8 110.9 280.3 301.5 132.1 417 Lemland 4.8 36.2 118.4 195.7 226.1 214.9 190.1 231.0 259.6 153.6 438 Lumparland 2.6 36.1 111.4 176.9 216.6 204.1 189.4 209.2 259.9 157.2 478 Mariehamn-Maarianhamina 4.4 33.4 102.9 175.9 200.3 176.6 168.5 181.2 304.8 123.8 736 Saltvik 4.7 34.7 111.6 179.7 216.4 204.4 178.0 205.0 249.6 158.4 766 Sottunga 0.0 28.3 95.1 137.2 222.4 189.1 167.7 189.0 204.0 136.4 771 Sund 5.2 35.8 113.1 183.0 215.8 213.7 183.1 210.1 252.0 156.3 941 Vårdö 4.2 34.8 109.3 167.6 210.9 202.5 177.4 192.3 244.0 157.0 Total 5.0 34.7 110.9 179.0 219.7 207.3 175.3 211.7 252.7 151.5 Rannikko/Etelärannikko 049 Espoo-Esbo 18.3 30.5 118.2 177.4 217.7 245.5 215.5 207.2 190.5 156.2 078 Hanko-Hangö 28.6 47.7 111.2 150.5 195.3 234.1 212.6 222.8 161.1 165.0 091 Helsinki-Helsingfors 9.5 23.2 112.0 176.8 216.1 266.0 230.9 265.0 185.6 148.0 092 Vantaa-Vanda 20.8 26.5 118.2 198.1 227.1 267.3 220.2 242.6 212.8 148.0 149 Ingå-Inkoo 11.0 29.0 113.9 171.8 226.3 224.3 203.5 191.3 206.4 145.4 235 Kauniainen-Grankulla 17.0 29.6 116.6 178.1 209.3 238.5 209.3 185.6 191.0 154.0 257 Kirkkonummi-Kyrkslätt 10.1 27.3 115.2 168.5 208.3 225.4 196.4 188.0 178.1 135.7 322 Kemiönsaari 7.4 28.5 108.7 148.4 182.2 211.6 186.5 209.7 155.4 145.6 407 Lapinjärvi-Lappträsk 14.5 35.6 124.2 184.6 234.0 244.3 241.3 215.0 172.0 168.0 424 Liljendal 13.8 31.1 122.5 183.6 227.3 241.6 223.8 224.6 186.3 162.8 434 Loviisa-Lovisa 4.5 31.6 116.7 185.0 221.1 239.6 249.6 229.5 193.8 172.3 444 Länsi-Turunmaa 8.1 33.6 107.7 149.9 182.2 208.7 177.6 196.4 169.1 138.0 585 Pernå-Pernaja 9.1 30.0 121.0 182.7 224.6 243.0 235.8 228.1 194.1 164.0 638 Porvoo-Borgå 12.1 32.5 123.4 184.8 228.0 248.1 235.5 221.1 197.2 165.8 701 Ruotsinpyhtää-Strömfors 11.0 31.6 123.7 186.4 223.2 231.6 237.6 205.8 184.2 160.2 710 Raasepori 12.9 34.0 115.1 160.9 207.5 230.3 207.1 223.4 172.6 161.5 753 Sipoo-Sibbo 17.8 33.5 120.9 190.2 238.6 270.8 230.4 252.7 216.0 174.7 755 Siuntio-Sjundeå 12.4 27.5 124.8 175.1 227.7 230.9 206.4 159.9 186.3 132.2 Total 11.3 31.0 117.1 171.0 211.7 232.8 209.4 213.3 184.0 154.9 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 12.5 19.6 81.1 154.3 172.4 184.7 169.2 151.9 208.9 87.6 280 Korsnäs 6.4 23.3 98.2 122.5 162.9 176.8 187.9 182.8 210.8 113.7 287 Kristinestad-Kristiinankaupunki 4.7 17.8 92.4 121.6 156.7 161.2 190.5 171.7 172.0 109.8 288 Kronoby-Kruunupyy 6.6 16.5 88.3 121.8 140.2 154.2 166.1 167.1 181.9 105.5 440 Larsmo-Luoto 12.5 16.8 89.9 131.2 163.3 165.4 174.9 217.2 203.1 102.6 475 Malax-Maalahti 6.4 24.1 96.1 118.1 155.0 169.2 184.3 177.6 203.5 114.6 499 Korsholm-Mustasaari 6.3 21.6 110.0 122.0 156.1 208.2 190.0 189.3 196.4 126.7 545 Närpes-Närpiö 5.8 19.1 92.5 120.9 153.9 157.1 176.6 182.3 167.2 108.5 559 Oravais-Oravainen 8.6 22.2 95.5 137.5 153.7 168.6 168.4 169.0 172.8 105.1 598 Jakobstad-Pietarsaari 6.4 21.5 85.0 135.8 154.7 165.4 143.9 142.0 189.3 98.1 599 Pedersöre-Pedersören kunta 7.9 17.5 86.7 125.4 142.2 150.2 164.6 163.7 184.9 105.3 893 Nykarleby-Uusikaarlepyy 10.4 22.4 92.7 124.6 146.7 162.7 158.6 170.4 162.4 110.7 905 Vaasa-Vasa 10.0 24.0 103.5 122.9 166.3 224.9 206.0 202.1 233.3 133.0 945 Vörå-Maxmo Vöyri-Maksamaa 7.1 22.2 99.2 128.9 154.5 176.3 177.5 173.6 178.6 109.7 Total 7.1 20.1 94.8 123.8 151.5 167.3 178.0 176.5 184.7 111.3 Lounais-Suomi 019 Aura 12.5 30.7 111.9 163.0 201.6 224.7 202.9 219.2 164.8 144.2 050 Eura 38.9 35.9 107.3 152.3 178.6 209.1 199.2 189.9 104.0 139.6 051 Eurajoki 0.0 29.6 113.3 161.1 176.6 193.3 208.1 192.9 169.9 135.4 079 Harjavalta 0.0 37.7 127.5 161.4 174.3 148.6 205.9 202.6 86.0 135.1 099 Honkajoki 1.0 16.2 73.5 97.1 123.5 133.5 143.4 129.0 148.2 91.1 102 Huittinen 29.2 34.4 135.9 169.8 190.1 216.9 237.9 211.5 102.6 141.3 181 Jämijärvi 1.8 17.6 97.9 120.0 166.1 169.9 193.2 192.6 176.7 113.7 202 Kaarina 10.1 30.4 113.2 161.8 195.2 225.0 190.0 217.1 153.4 138.9 214 Kankaanpää 2.0 16.3 84.8 109.2 152.8 146.8 167.2 158.5 157.0 105.4 230 Karvia 1.2 15.5 77.9 98.0 127.4 131.8 159.7 141.7 141.3 94.9 254 Kiikoinen 0.2 23.6 114.7 152.1 197.3 220.2 188.9 202.3 158.3 130.3 271 Kokemäki 3.5 33.7 122.2 145.4 191.0 186.1 203.5 174.6 138.5 131.1 284 Koski T.l. 11.2 42.9 114.0 188.8 219.6 230.5 329.9 302.3 345.5 158.2 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 126 Table 4d. Continued Forestry centre Open regeneration site 1-20 yrs 21-40 yrs 41-60 yrs 61-80 yrs 81-100 yrs 101-120 yrs 121-140 yrs 141+ yrs Forest land total Municipality m3/ha 304 Kustavi 7.1 28.8 98.1 140.4 163.5 181.2 171.4 174.3 156.9 117.0 319 Köyliö 0.0 32.8 132.8 129.3 173.4 181.7 248.9 182.2 104.8 142.3 400 Laitila 24.5 29.5 97.0 144.1 163.2 200.2 175.4 181.1 92.9 130.1 413 Lavia 1.6 26.3 107.8 148.4 177.9 205.5 200.2 232.7 135.9 132.9 423 Lieto 9.5 31.4 114.6 160.7 194.7 220.0 199.1 223.6 152.5 150.5 430 Loimaa 7.9 31.7 120.7 178.4 208.3 223.4 281.8 213.1 139.2 153.0 442 Luvia 1.0 37.6 126.5 194.4 216.2 221.4 257.2 179.1 130.0 161.8 480 Marttila 12.4 31.1 112.3 162.5 197.7 219.6 215.1 211.9 161.4 145.7 481 Masku 8.0 27.2 109.8 154.9 186.7 212.3 189.2 203.6 159.6 133.4 484 Merikarvia 3.1 19.2 89.6 133.4 179.8 173.1 206.0 199.4 203.9 124.3 503 Mynämäki 12.6 32.9 110.4 152.6 176.9 199.3 197.8 191.0 126.9 139.2 529 Naantali 6.8 30.1 102.2 144.7 172.5 201.2 175.1 192.2 170.7 130.6 531 Nakkila 0.0 33.7 118.2 181.6 212.6 206.7 223.3 213.0 86.4 143.6 537 Noormarkku 6.2 33.7 113.8 160.4 201.7 200.5 197.5 219.9 148.9 141.7 538 Nousiainen 8.9 30.2 111.3 156.7 190.3 213.2 203.6 212.3 151.7 145.4 561 Oripää 4.4 27.0 108.8 150.3 182.0 200.9 211.6 205.5 150.5 141.0 577 Paimio 11.1 30.5 115.4 157.0 197.6 220.4 190.9 222.5 161.8 151.4 608 Pomarkku 8.5 29.7 106.6 159.5 194.1 212.2 212.0 203.6 195.7 149.3 609 Pori 10.3 35.4 124.3 188.9 223.5 212.9 215.2 184.9 149.6 150.5 631 Pyhäranta 10.0 27.9 108.1 147.7 201.5 229.1 153.5 173.1 47.8 142.6 636 Pöytyä 15.2 33.3 111.4 153.2 185.8 208.0 205.0 206.0 140.1 147.6 680 Raisio 11.8 28.1 110.1 153.2 185.2 216.3 189.0 202.3 162.8 132.5 684 Rauma 13.6 28.4 95.1 144.1 193.5 204.0 165.0 186.8 52.7 135.8 704 Rusko 11.7 32.4 115.2 159.4 189.1 214.3 197.5 210.3 152.1 148.2 734 Salo 10.6 32.4 115.6 161.4 202.2 225.8 205.5 216.0 160.5 156.1 738 Sauvo 9.0 30.5 112.8 158.6 186.9 218.2 185.6 199.5 157.1 142.1 747 Siikainen 3.0 20.1 88.3 124.1 170.3 165.5 186.9 195.4 179.9 122.3 761 Somero 32.8 34.9 106.8 180.2 211.9 236.2 233.4 263.7 259.6 147.6 783 Säkylä 18.2 33.0 92.9 146.2 166.0 204.4 215.6 182.2 100.8 132.3 833 Taivassalo 4.4 27.8 101.4 147.0 168.2 190.3 172.4 177.0 153.8 120.2 838 Tarvasjoki 10.1 32.6 117.5 166.7 205.7 231.0 201.0 216.4 172.5 152.4 853 Turku-Åbo 12.0 29.4 111.7 160.0 193.0 218.3 190.4 207.3 164.5 136.1 886 Ulvila 0.0 36.4 118.5 155.6 198.5 197.0 199.0 201.0 129.3 139.0 895 Uusikaupunki 2.7 31.6 104.3 149.6 168.7 195.8 176.1 175.7 135.4 125.3 918 Vehmaa 8.3 27.7 102.2 151.0 168.0 191.2 174.4 173.7 129.5 117.8 Total 8.8 29.5 108.4 150.5 184.4 199.1 198.6 193.7 156.6 136.0 Häme-Uusimaa 015 Artjärvi 18.6 32.1 124.1 182.0 243.6 255.1 258.4 235.9 210.3 156.5 016 Asikkala 14.3 29.2 120.4 188.5 223.9 266.0 272.4 226.8 188.4 155.7 018 Askola 16.2 29.7 125.9 191.9 234.7 255.2 230.8 231.3 212.9 161.3 061 Forssa 41.8 29.3 108.8 173.7 228.9 260.6 228.8 284.7 225.4 158.9 081 Hartola 19.4 29.6 132.1 194.9 233.8 229.4 266.5 191.6 252.0 155.5 082 Hattula 12.6 27.8 118.7 176.8 209.9 230.8 216.5 232.6 179.7 139.8 086 Hausjärvi 28.1 24.2 118.5 174.7 225.5 269.4 209.7 193.4 324.2 142.5 098 Hollola 25.9 30.0 110.8 173.7 233.4 273.4 255.8 202.7 293.4 149.0 103 Humppila 10.2 30.4 104.0 227.6 215.0 238.8 288.9 221.7 197.9 169.0 106 Hyvinkää 24.1 25.4 120.5 176.7 220.7 242.7 204.8 187.6 244.1 144.7 109 Hämeenlinna 19.0 27.1 116.2 180.6 225.0 256.2 233.8 253.2 230.2 152.9 111 Heinola 20.0 29.7 121.4 167.7 222.6 242.8 268.7 220.1 240.9 150.6 165 Janakkala 14.3 25.4 125.1 178.6 218.2 252.2 227.8 218.9 229.7 149.9 169 Jokioinen 17.0 28.0 104.5 201.6 231.4 256.1 199.6 292.5 187.4 144.7 186 Järvenpää 22.0 24.5 129.0 189.7 226.5 250.3 251.3 223.5 203.4 131.8 223 Karjalohja 14.6 31.5 117.9 177.3 249.9 223.8 221.4 167.3 193.6 130.2 224 Karkkila 15.7 29.7 124.0 185.8 228.9 259.1 244.1 228.1 203.9 157.3 245 Kerava 19.8 25.3 126.7 192.3 228.4 248.9 215.6 233.6 210.8 142.2 283 Hämeenkoski 32.8 27.2 110.5 186.0 237.2 265.9 258.6 229.9 329.8 147.1 316 Kärkölä 34.7 26.2 101.6 175.8 226.9 278.7 243.8 169.5 284.6 139.0 398 Lahti 10.3 32.3 113.0 165.4 237.4 261.8 259.9 184.0 233.6 135.7 433 Loppi 12.8 25.5 117.1 173.6 211.3 237.7 225.2 219.2 169.9 143.6 444 Lohja 17.3 29.1 122.2 177.9 244.7 228.0 228.0 165.0 224.0 127.8 504 Myrskylä-Mörskom 17.8 32.8 125.8 186.4 236.5 253.9 232.2 230.1 206.0 161.6 505 Mäntsälä 35.6 26.1 112.4 180.5 231.7 271.6 241.2 200.4 338.0 153.6 532 Nastola 14.3 31.4 115.8 173.6 242.8 264.5 241.6 157.8 209.5 147.5 540 Nummi-Pusula 14.7 29.9 118.5 179.9 239.5 233.1 227.1 181.1 213.8 140.0 543 Nurmijärvi 18.9 26.8 123.0 182.5 232.4 239.6 212.4 206.0 190.6 130.8 560 Orimattila 27.0 28.2 111.5 171.0 228.9 258.1 245.7 191.9 258.8 136.3 576 Padasjoki 15.7 29.6 120.2 181.5 211.4 260.4 243.0 234.8 185.1 158.0 611 Pornainen 19.2 32.2 127.0 187.4 230.0 247.7 224.1 215.7 208.2 159.0 616 Pukkila 19.0 32.0 128.2 187.4 234.5 255.0 228.8 229.3 201.0 152.9 694 Riihimäki 19.9 23.9 126.7 184.6 222.8 237.1 235.3 197.2 225.7 136.3 781 Sysmä 11.8 28.3 132.0 195.9 236.0 251.9 309.6 191.7 222.9 161.5 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 127 Table 4d. Continued Forestry centre Open regeneration site 1-20 yrs 21-40 yrs 41-60 yrs 61-80 yrs 81-100 yrs 101-120 yrs 121-140 yrs 141+ yrs Forest land total Municipality m3/ha 834 Tammela 17.2 34.0 107.7 170.2 224.2 246.1 220.8 311.1 206.8 158.7 858 Tuusula 19.1 27.4 126.3 196.7 242.1 254.7 239.8 248.6 221.4 147.2 927 Vihti 19.4 30.4 124.7 182.3 230.1 246.7 226.3 194.9 208.8 148.0 981 Ypäjä 18.2 29.9 104.1 215.8 221.3 244.7 271.0 258.4 197.5 162.2 Total 19.5 28.5 119.1 180.8 227.2 251.9 244.3 219.7 221.5 150.1 Kaakkois-Suomi 075 Hamina 9.4 22.9 120.9 159.8 202.2 222.6 224.2 278.6 269.3 131.7 142 Iitti 17.2 30.1 123.1 173.0 229.7 248.2 271.6 216.7 229.6 157.3 153 Imatra 22.3 24.2 136.8 193.7 227.3 267.0 270.7 260.7 224.4 149.7 285 Kotka 10.0 23.4 115.3 154.2 201.4 217.8 214.0 227.2 224.4 118.8 286 Kouvola 14.5 27.2 121.2 165.7 216.0 234.6 247.6 228.9 270.6 149.2 405 Lappeenranta 12.5 21.6 124.9 168.0 211.2 236.5 242.4 280.6 279.2 135.0 416 Lemi 4.1 21.9 126.9 170.4 214.7 241.9 255.8 273.7 323.0 132.1 441 Luumäki 10.3 22.2 116.9 156.3 191.8 228.5 234.4 301.2 250.7 136.4 489 Miehikkälä 7.8 22.7 119.0 155.7 208.5 225.9 226.2 252.5 297.4 137.7 580 Parikkala 12.7 32.2 139.8 195.1 219.0 240.2 263.7 229.3 282.5 138.7 624 Pyhtää-Pyttis 16.3 35.1 125.0 180.9 229.8 240.6 233.5 208.3 187.5 162.6 689 Rautjärvi 32.6 29.9 139.4 188.6 227.7 242.4 272.7 263.7 253.4 147.3 700 Ruokolahti 13.8 28.0 132.3 170.9 200.9 222.6 242.6 222.2 296.5 142.2 739 Savitaipale 2.4 22.9 125.8 165.1 197.2 215.2 240.7 220.8 262.5 128.9 775 Suomenniemi 9.3 25.4 125.2 162.2 202.1 211.4 239.3 201.2 247.0 139.4 831 Taipalsaari 1.6 24.7 130.5 168.4 189.8 211.7 223.6 156.8 246.5 132.2 935 Virolahti 6.6 22.1 117.9 150.8 206.8 228.2 220.3 268.8 271.4 132.7 978 Ylämaa 9.0 24.3 119.9 158.2 207.6 222.7 235.2 264.7 301.3 142.4 Total 11.8 25.6 125.4 167.3 210.4 230.5 242.0 240.4 266.9 141.0 Pirkanmaa 020 Akaa 13.9 28.6 115.6 170.7 218.3 248.9 223.0 247.2 225.7 135.9 108 Hämeenkyrö 8.1 31.5 109.9 180.8 211.4 220.0 220.1 212.6 167.2 140.6 143 Ikaalinen 4.6 26.6 104.4 150.0 185.4 197.2 203.8 195.6 177.9 126.5 177 Juupajoki 7.9 25.9 107.5 173.2 207.7 230.1 234.7 203.7 187.0 143.3 211 Kangasala 7.4 32.9 117.7 176.0 210.4 228.3 218.8 185.5 207.6 141.8 250 Kihniö 1.9 19.8 100.9 113.9 147.5 146.9 178.6 179.0 160.8 116.8 289 Kuhmalahti 11.4 26.9 117.0 176.7 206.3 243.6 226.1 218.8 157.8 137.4 310 Kylmäkoski 40.9 31.3 112.3 167.5 227.4 243.4 181.9 323.0 238.9 148.3 418 Lempäälä 3.9 30.7 129.0 196.9 217.1 231.6 204.7 223.2 248.7 147.3 508 Mänttä-Vilppula 7.9 29.5 117.1 179.5 216.3 240.6 236.5 236.2 189.8 153.1 536 Nokia 3.0 34.0 105.9 192.4 203.4 229.3 243.9 201.5 181.0 141.9 562 Orivesi 8.3 28.1 111.8 181.5 216.1 243.0 236.8 217.3 198.9 148.8 581 Parkano 2.4 17.7 95.5 106.6 144.8 149.4 168.3 177.9 162.2 111.1 604 Pirkkala 2.7 27.1 127.2 203.9 227.9 238.3 202.4 209.0 216.0 142.3 619 Punkalaidun 23.6 31.8 109.7 185.9 230.5 252.8 276.8 229.4 180.5 160.2 635 Pälkäne 18.3 29.4 129.9 189.4 229.8 254.1 242.1 232.8 251.0 161.1 702 Ruovesi 5.4 28.0 113.8 174.1 208.3 232.2 228.2 211.5 197.2 150.4 790 Sastamala 29.5 32.9 120.0 171.8 196.3 205.9 216.7 205.6 197.9 139.2 837 Tampere 9.7 30.5 115.7 182.9 218.6 242.2 239.7 216.0 209.9 153.8 887 Urjala 31.3 32.0 109.1 204.2 227.3 237.7 233.9 244.0 184.0 158.0 908 Valkeakoski 6.6 32.5 124.7 182.7 220.1 248.0 215.1 258.8 232.3 151.7 922 Vesilahti 14.4 30.0 108.7 168.6 218.2 248.9 221.5 254.4 209.4 150.3 936 Virrat 1.2 16.9 102.2 128.3 158.7 174.9 199.3 208.8 176.3 124.5 980 Ylöjärvi 6.0 28.7 110.6 159.2 193.4 212.8 211.7 209.8 176.3 141.4 Total 9.7 27.7 112.0 163.8 196.2 213.9 213.6 209.1 186.2 140.0 Etelä-Savo 046 Enonkoski 19.7 27.6 132.8 183.1 227.1 243.2 265.8 254.0 228.3 138.7 090 Heinävesi 16.7 25.0 116.8 172.1 215.8 243.9 263.7 276.7 165.8 135.8 097 Hirvensalmi 20.7 34.3 127.4 176.5 221.7 247.9 280.4 236.6 287.8 152.6 171 Joroinen 7.6 25.4 117.4 151.5 203.0 239.0 258.9 221.9 232.7 134.7 178 Juva 22.9 26.5 119.3 157.0 209.6 232.2 267.2 221.5 255.0 141.6 213 Kangasniemi 52.8 25.9 116.7 149.6 203.3 225.3 259.2 222.6 158.7 130.2 246 Kerimäki 14.6 32.2 134.4 180.5 216.9 236.7 262.4 230.8 311.7 140.6 491 Mikkeli 22.6 28.1 119.0 162.3 217.0 238.5 260.8 226.5 272.2 139.4 507 Mäntyharju 14.3 28.8 124.4 165.6 209.1 226.9 247.8 221.0 271.8 144.9 588 Pertunmaa 27.5 33.0 127.2 179.3 221.2 253.9 283.8 244.8 667.9 147.7 593 Pieksämäki 14.5 23.4 113.5 152.1 185.5 206.5 231.3 218.8 203.2 128.3 618 Punkaharju 5.4 33.7 134.6 189.3 223.6 238.5 282.6 257.8 366.6 148.9 623 Puumala 1.1 25.6 135.0 163.4 212.8 216.2 216.0 151.6 159.4 135.7 681 Rantasalmi 17.7 26.7 128.1 179.2 214.2 223.7 262.6 244.1 267.9 129.8 696 Ristiina 17.7 28.9 125.2 170.8 223.8 240.4 255.3 233.5 242.3 148.9 740 Savonlinna 12.2 31.0 132.2 183.4 217.2 236.4 265.2 238.7 266.9 142.1 768 Sulkava 3.6 27.7 131.3 178.3 207.5 224.7 247.1 221.3 328.4 133.8 Total 17.6 27.7 123.9 167.0 210.9 230.0 255.8 228.6 251.4 138.3 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 128 Table 4d. Continued Forestry centre Open regeneration site 1-20 yrs 21-40 yrs 41-60 yrs 61-80 yrs 81-100 yrs 101-120 yrs 121-140 yrs 141+ yrs Forest land total Municipality m3/ha Etelä-Pohjanmaa 005 Alajärvi 3.7 16.3 88.8 106.5 132.5 139.2 166.5 161.3 150.2 103.1 010 Alavus 1.0 14.0 77.9 110.7 140.7 162.4 170.9 147.8 178.4 101.9 052 Evijärvi 5.4 13.3 85.5 105.1 127.8 140.9 148.0 169.3 165.4 94.7 074 Halsua 5.9 16.6 60.9 83.5 100.6 118.5 140.2 151.8 162.4 90.8 095 Himanka 6.2 14.5 76.0 103.5 127.7 140.4 157.9 170.3 148.3 99.0 145 Ilmajoki 0.7 15.8 91.0 113.8 135.9 149.2 195.0 157.9 149.8 101.1 151 Isojoki 2.0 18.6 83.0 100.4 126.2 149.9 181.9 145.8 158.8 103.8 152 Isokyrö 5.0 20.3 89.0 110.7 139.0 143.5 154.9 162.9 168.3 97.1 164 Jalasjärvi 1.0 14.8 87.2 103.2 138.6 140.3 176.0 164.5 150.2 97.1 217 Kannus 9.7 13.6 67.4 91.2 110.9 126.3 158.8 152.7 140.8 91.6 218 Karijoki 4.4 19.4 89.9 111.6 129.4 142.2 176.5 165.1 171.4 105.7 232 Kauhajoki 0.9 14.9 76.4 94.0 104.8 138.1 172.7 134.0 140.9 89.4 233 Kauhava 3.8 13.7 83.1 107.4 127.6 142.3 142.8 167.2 160.0 96.7 236 Kaustinen 6.2 13.6 74.8 98.6 121.7 134.1 150.8 160.3 142.2 95.3 272 Kokkola-Karleby 7.0 15.0 77.2 106.0 127.5 138.7 154.1 161.7 159.5 97.4 300 Kuortane 0.7 14.1 87.3 110.2 142.2 151.5 181.8 193.1 161.0 106.5 301 Kurikka 2.3 16.8 89.1 108.4 130.0 150.6 180.2 158.0 161.3 97.9 399 Laihia 4.4 21.0 93.0 118.1 148.9 154.6 170.8 172.1 184.2 109.7 403 Lappajärvi 2.0 15.6 86.5 105.3 128.0 142.4 141.9 168.5 138.5 103.2 408 Lapua 4.7 17.0 87.0 111.3 131.5 147.6 152.2 168.0 163.8 105.2 421 Lestijärvi 7.1 14.0 73.2 92.3 116.5 124.0 141.5 137.2 138.6 89.8 584 Perho 9.8 14.0 77.4 97.6 110.5 123.4 140.2 151.7 141.1 94.8 743 Seinäjoki 1.1 16.6 86.3 104.1 139.1 138.6 173.7 154.1 149.7 94.2 759 Soini 2.8 17.8 95.8 111.8 127.9 137.1 172.9 155.5 161.9 106.2 846 Teuva 3.9 19.5 88.7 108.6 130.8 140.5 172.4 160.0 167.4 99.3 849 Toholampi 9.5 13.8 64.7 91.3 109.0 127.5 164.1 158.3 146.3 91.5 863 Töysä 1.0 14.2 84.1 112.8 143.6 155.6 181.8 184.1 167.9 111.1 924 Veteli 9.2 14.6 75.0 100.0 120.3 129.6 156.9 162.7 149.0 98.1 934 Vimpeli 18.8 17.6 75.6 103.1 125.0 131.7 166.2 164.3 153.7 101.0 942 Vähäkyrö 4.2 20.7 99.1 116.1 148.0 170.6 190.5 186.8 176.2 99.7 989 Ähtäri 2.6 19.4 102.1 122.1 143.9 152.3 182.3 183.0 153.7 114.3 Total 3.8 16.0 83.5 104.8 128.4 140.9 165.7 159.5 154.8 99.2 Keski-Suomi 077 Hankasalmi 25.4 26.8 113.2 154.5 193.5 243.7 249.7 225.4 186.0 125.2 172 Joutsa 19.4 30.9 130.7 174.7 221.6 227.8 256.4 210.6 211.8 146.7 179 Jyväskylä 9.6 24.1 115.8 172.0 213.4 245.6 228.4 221.7 203.7 131.2 182 Jämsä 13.9 22.1 107.9 157.8 202.2 232.9 211.0 194.0 189.1 123.2 216 Kannonkoski 9.2 17.3 105.3 133.6 149.1 175.2 190.3 177.2 190.6 121.5 226 Karstula 4.5 17.9 97.0 120.0 133.5 149.3 167.7 177.0 186.8 114.0 249 Keuruu 4.0 24.9 107.7 144.7 173.1 197.6 198.3 206.3 159.8 130.8 256 Kinnula 9.5 14.6 84.5 111.0 126.5 141.2 155.9 165.4 162.1 103.5 265 Kivijärvi 6.9 14.7 98.1 126.2 140.9 160.0 182.0 176.1 177.5 112.9 275 Konnevesi 8.6 25.4 116.7 156.8 214.7 249.2 236.5 241.9 230.2 130.6 291 Kuhmoinen 8.7 21.3 110.2 169.4 209.5 251.8 239.1 209.1 218.3 134.3 312 Kyyjärvi 4.1 17.3 92.7 109.0 120.6 130.7 156.6 153.6 166.6 104.8 410 Laukaa 14.1 24.9 112.8 158.5 196.9 240.0 224.1 215.0 186.6 119.5 435 Luhanka 11.5 27.8 124.2 200.8 238.6 244.4 281.9 198.8 203.6 149.9 495 Multia 4.2 17.4 96.0 124.6 137.0 167.6 180.4 188.0 195.5 118.3 500 Muurame 7.3 25.4 120.7 183.4 216.2 282.4 239.7 234.8 185.6 136.8 592 Petäjävesi 13.0 22.8 115.3 141.1 187.9 211.7 206.3 178.9 188.8 117.1 601 Pihtipudas 9.2 14.6 90.8 119.8 121.2 127.0 163.1 142.5 215.1 104.2 729 Saarijärvi 5.2 18.3 102.4 135.1 152.3 176.6 187.9 190.4 203.4 120.9 850 Toivakka 14.5 25.8 119.7 153.0 209.8 220.8 220.2 220.5 162.4 125.0 892 Uurainen 11.7 22.5 114.3 136.2 177.1 201.3 214.5 197.5 181.6 115.5 931 Viitasaari 14.2 20.3 108.6 135.5 171.1 183.0 192.4 217.0 233.3 113.9 992 Äänekoski 12.4 22.2 112.5 149.9 195.0 239.8 216.9 220.3 195.1 128.6 Total 10.1 22.3 108.1 143.3 171.2 197.9 200.5 193.9 192.2 122.4 Pohjois-Savo 140 Iisalmi 4.0 20.5 101.9 142.0 189.8 188.2 227.3 236.4 244.2 107.7 174 Juankoski 8.4 20.9 102.0 141.4 175.1 213.3 228.1 229.9 211.0 118.3 204 Kaavi 10.5 18.5 103.9 131.9 149.0 195.7 194.6 214.6 226.4 119.7 227 Karttula 12.0 25.2 114.3 158.2 201.9 241.4 245.8 212.9 223.4 129.5 239 Keitele 12.8 23.5 105.8 133.9 165.9 212.6 183.2 177.5 221.0 117.9 263 Kiuruvesi 7.1 18.6 95.2 113.1 131.4 155.1 185.1 166.0 154.2 100.1 297 Kuopio 3.4 21.6 109.3 170.7 226.7 244.3 277.6 252.4 218.5 138.7 402 Lapinlahti 5.4 21.0 104.4 139.5 189.5 178.0 236.8 254.4 250.0 115.2 420 Leppävirta 3.2 21.1 117.9 171.8 212.4 244.6 260.4 262.3 219.0 144.1 476 Maaninka 4.2 20.6 107.7 150.9 187.9 217.8 255.0 258.1 271.0 122.0 534 Nilsiä 7.8 20.4 100.1 137.7 188.4 206.7 240.9 238.9 223.7 119.8 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 129 Table 4d. Continued Forestry centre Open regeneration site 1-20 yrs 21-40 yrs 41-60 yrs 61-80 yrs 81-100 yrs 101-120 yrs 121-140 yrs 141+ yrs Forest land total Municipality m3/ha 595 Pielavesi 7.6 22.7 101.6 142.4 163.5 186.1 210.4 257.7 188.1 119.2 686 Rautalampi 13.8 22.5 113.0 163.4 194.2 229.2 238.5 222.7 213.2 127.0 687 Rautavaara 6.1 18.9 94.4 110.5 116.0 148.6 163.0 200.2 194.9 107.7 749 Siilinjärvi 4.2 19.1 105.4 155.7 213.6 223.7 256.6 263.8 254.1 118.6 762 Sonkajärvi 5.6 18.0 92.6 112.3 120.5 144.0 164.8 185.9 181.1 100.2 778 Suonenjoki 14.9 23.3 114.6 154.7 192.1 219.6 239.9 223.3 212.0 130.9 844 Tervo 12.1 23.6 111.6 160.0 195.1 226.8 246.0 210.4 237.5 122.1 857 Tuusniemi 4.1 21.6 113.1 167.4 211.9 236.6 258.9 261.5 214.4 133.7 915 Varkaus 3.6 22.8 122.4 176.4 212.6 238.0 267.4 251.3 245.1 147.6 916 Varpaisjärvi 7.8 19.7 98.1 125.7 170.6 187.9 210.0 243.8 203.8 108.4 921 Vesanto 12.3 22.6 107.1 153.7 182.6 231.1 222.1 183.3 201.1 123.2 925 Vieremä 7.1 18.3 92.0 116.1 125.7 154.7 177.5 177.0 153.9 99.9 Total 7.4 20.9 104.4 138.8 166.4 196.0 219.0 225.5 205.2 118.8 Pohjois-Karjala 146 Ilomantsi 4.1 21.2 94.7 109.8 108.9 156.0 195.6 212.1 254.5 108.1 167 Joensuu 9.8 24.5 105.2 136.7 164.4 209.7 232.6 232.5 203.4 121.5 176 Juuka 6.2 21.9 98.3 124.0 143.1 184.4 201.1 225.3 183.0 113.1 248 Kesälahti 5.8 28.1 117.9 156.4 186.6 221.6 208.5 241.2 188.8 128.8 260 Kitee 12.7 28.3 112.2 155.6 192.3 213.6 226.5 233.4 183.5 125.6 276 Kontiolahti 6.1 25.0 102.1 137.3 165.2 198.0 215.8 228.8 192.5 117.9 309 Outokumpu 9.7 25.0 115.4 157.9 184.8 201.2 197.8 243.4 197.1 123.1 422 Lieksa 5.3 21.1 90.3 114.4 120.3 151.4 179.4 206.1 219.4 102.7 426 Liperi 8.3 24.6 118.6 168.3 202.9 238.4 225.8 244.7 204.5 125.9 541 Nurmes 8.4 20.3 93.9 111.9 118.9 157.1 162.5 195.8 206.6 104.4 607 Polvijärvi 9.1 24.4 103.5 140.0 167.5 204.0 186.4 218.5 175.3 115.9 707 Rääkkylä 12.5 27.6 135.3 192.9 203.3 230.1 194.3 233.3 172.1 138.8 848 Tohmajärvi 12.8 26.3 107.6 136.5 154.2 210.0 225.0 243.6 188.8 122.5 911 Valtimo 10.5 17.6 93.1 114.1 112.6 155.9 178.2 179.8 226.2 101.6 Total 7.7 23.2 100.8 126.4 139.2 181.8 202.1 218.0 218.3 113.2 Kainuu 105 Hyrynsalmi 5.6 11.7 68.9 101.5 81.3 101.9 131.6 170.0 187.5 86.9 205 Kajaani 5.2 14.8 77.0 102.2 101.8 118.1 122.7 169.1 169.7 90.9 290 Kuhmo 8.2 16.2 67.9 85.3 87.5 117.5 148.6 187.1 194.9 86.8 578 Paltamo 6.6 15.1 78.0 111.5 107.8 128.4 167.6 172.5 213.7 99.3 620 Puolanka 5.5 10.1 69.7 90.2 87.2 106.9 116.4 121.2 161.1 78.9 697 Ristijärvi 14.9 14.0 72.1 105.6 90.6 112.4 141.4 152.8 190.1 90.6 765 Sotkamo 13.0 15.3 82.3 108.9 105.1 127.3 151.6 174.8 197.0 96.5 777 Suomussalmi 5.3 11.5 59.6 82.2 72.9 88.0 125.8 143.9 175.9 74.5 785 Vaala 2.0 13.0 53.0 78.6 93.9 111.4 126.7 120.3 113.9 78.1 Total 6.9 13.5 69.1 93.4 89.2 111.2 137.2 161.8 182.3 85.1 Pohjois-Pohjanmaa 009 Alavieska 6.5 11.0 70.9 86.6 115.3 127.3 127.5 139.6 121.4 87.3 069 Haapajärvi 9.7 14.0 83.5 104.5 119.5 133.9 146.4 151.5 161.8 101.9 071 Haapavesi 4.3 12.3 72.0 93.2 114.1 121.6 138.2 149.5 160.0 92.4 072 Hailuoto 2.0 11.7 53.1 80.4 101.7 132.0 131.3 110.2 75.1 68.0 084 Haukipudas 8.8 15.0 61.6 89.5 100.6 132.6 127.9 129.3 152.7 87.1 139 Ii 10.8 15.2 60.2 77.4 93.9 121.0 125.3 123.3 124.5 81.5 208 Kalajoki 3.4 10.4 69.3 88.9 111.6 127.2 122.1 144.4 100.7 83.7 244 Kempele 11.1 16.7 58.1 94.1 106.5 135.5 133.2 127.5 143.5 87.3 255 Kiiminki 4.1 15.2 65.0 94.8 110.4 121.0 145.4 142.3 151.1 95.5 305 Kuusamo 3.8 13.4 54.1 71.8 73.2 92.4 100.5 115.0 128.4 73.1 317 Kärsämäki 6.6 13.6 77.0 92.1 119.3 130.1 149.6 162.1 157.3 100.3 425 Liminka 2.2 16.8 55.3 80.0 98.5 118.9 123.1 123.6 118.8 79.0 436 Lumijoki 1.2 15.3 59.3 86.3 104.6 127.6 132.6 119.0 118.0 78.6 483 Merijärvi 2.3 10.2 67.3 89.5 115.2 128.0 125.4 143.7 118.5 85.2 494 Muhos 2.3 13.1 52.8 77.0 92.3 111.2 127.4 122.2 125.3 76.1 535 Nivala 8.8 11.2 81.8 109.9 124.5 132.3 151.1 149.8 160.4 96.9 563 Oulainen 2.9 10.3 64.1 93.9 112.1 121.1 126.5 142.3 131.5 83.5 564 Oulu 4.3 14.5 64.7 88.1 102.2 115.3 139.8 130.3 147.1 90.9 567 Oulunsalo 15.4 13.6 58.2 92.8 112.6 134.7 127.5 112.8 117.7 83.9 615 Pudasjärvi 2.6 9.7 61.8 72.6 79.8 95.2 117.2 121.1 134.2 72.0 625 Pyhäjoki 3.6 12.3 65.1 84.9 113.2 133.6 120.0 136.4 112.7 83.2 626 Pyhäsalmi 6.1 17.8 78.6 101.7 115.5 135.8 145.1 148.7 144.3 98.8 630 Pyhäntä 2.3 17.4 58.5 82.4 100.2 117.2 131.9 131.8 125.0 87.8 678 Raahe 3.8 13.9 60.9 89.6 107.1 126.8 135.0 143.6 125.1 86.9 691 Reisjärvi 9.6 11.5 81.8 98.5 119.1 130.5 154.4 156.4 129.3 98.1 746 Sievi 9.2 10.5 73.6 90.5 114.2 118.3 138.1 149.5 106.7 89.3 748 Siikajoki 2.2 13.9 56.7 81.2 99.4 116.3 126.1 119.0 117.0 78.4 791 Siikalatva 2.8 15.6 57.1 85.1 104.3 116.3 132.6 124.7 125.3 88.5 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 130 Table 4d. Continued Forestry centre Open regeneration site 1-20 yrs 21-40 yrs 41-60 yrs 61-80 yrs 81-100 yrs 101-120 yrs 121-140 yrs 141+ yrs Forest land total Municipality m3/ha 832 Taivalkoski 4.9 9.2 67.2 81.6 80.6 90.2 117.2 127.8 144.4 76.5 859 Tyrnävä 2.2 15.4 54.9 77.7 95.4 115.4 123.2 125.4 111.4 77.8 889 Utajärvi 1.7 12.7 55.7 78.9 89.2 112.9 120.2 134.6 143.3 80.1 926 Vihanti 2.6 13.7 55.4 83.2 100.7 124.2 132.7 135.2 135.5 85.4 972 Yli-Ii 3.9 17.4 60.6 77.3 90.2 108.8 120.9 140.3 137.9 81.2 977 Ylivieska 8.0 11.5 71.7 97.5 114.9 125.2 135.6 144.3 137.0 90.6 Total 4.4 12.8 63.5 82.9 97.1 114.2 126.6 131.1 132.9 82.5 Lapland 047 Enontekiö 10.6 17.1 17.7 43.2 39.0 48.4 76.3 51.4 80.3 58.4 148 Inari 1.5 12.9 18.2 38.3 61.0 54.1 64.6 58.3 86.6 64.6 240 Kemi 5.0 14.1 49.3 100.9 140.5 141.4 130.4 164.8 126.0 87.3 241 Keminmaa 5.8 20.5 54.6 92.0 118.1 117.3 148.3 140.7 124.0 88.7 261 Kittilä 0.3 17.2 44.8 57.4 63.8 84.6 71.4 79.3 80.4 59.9 273 Kolari 0.7 20.5 49.8 61.6 72.0 96.3 75.6 111.8 100.9 68.4 320 Kemijärvi 10.0 14.1 56.8 59.8 72.5 86.6 86.6 97.9 96.3 66.3 498 Muonio 0.1 21.9 49.8 38.9 62.1 69.7 64.4 73.7 97.2 62.3 583 Pelkosenniemi 5.1 15.5 52.2 62.3 68.5 80.3 86.1 95.9 94.5 61.9 614 Posio 3.8 10.6 51.0 60.9 72.6 85.5 97.8 94.3 105.1 64.5 683 Ranua 4.8 12.1 53.4 65.3 72.5 91.5 102.7 93.9 117.5 64.4 698 Rovaniemi 8.4 13.8 53.3 62.3 73.2 90.6 101.2 106.1 103.6 65.3 732 Salla 12.5 12.3 45.0 61.1 67.1 72.9 80.4 87.3 90.9 60.7 742 Savukoski 5.5 11.5 45.4 50.8 63.5 65.6 81.0 82.4 80.3 53.9 751 Simo 8.3 17.9 52.9 74.3 87.4 106.1 125.4 108.0 111.8 74.8 758 Sodankylä 9.7 13.4 43.3 47.9 60.3 71.6 86.3 94.9 78.1 53.6 845 Tervola 7.4 18.7 59.0 82.7 98.5 101.8 131.1 111.0 120.1 79.3 851 Tornio 3.4 17.1 50.4 92.9 116.0 102.6 144.0 163.8 113.8 86.2 854 Pello 0.4 14.6 58.3 69.6 69.8 104.4 86.3 120.8 100.0 67.1 890 Utsjoki – 5.2 36.0 68.3 41.5 58.4 52.8 45.9 55.2 49.9 976 Ylitornio 8.3 17.1 50.4 70.4 62.8 90.9 105.2 115.9 94.8 62.1 Total 4.8 14.1 34.0 50.7 64.6 68.4 79.6 78.6 88.2 63.2 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 131 Ta bl e 5a . D ev e lo pm en t c la ss d ist rib u tio n on fo re st la nd b y fo re st ry c en tre s. Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad va nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % Ål an d 03 5 B rä nd ö 22 0. 8 45 1. 6 59 4 21 .6 76 8 27 .9 67 7 24 .6 55 4 20 .1 13 0. 5 78 2. 9 2 75 1 10 0. 0 04 3 E ck er ö 59 1. 0 17 7 3. 1 65 1 11 .3 1 79 8 31 .3 1 38 6 24 .1 1 54 2 26 .8 21 0. 4 11 8 2. 1 5 75 1 10 0. 0 06 0 F in st rö m 10 8 1. 6 16 5 2. 5 86 1 13 .1 2 03 8 31 .0 1 45 9 22 .2 1 79 9 27 .4 32 0. 5 11 2 1. 7 6 57 4 10 0. 0 06 2 F ög lö 33 0. 5 12 7 2. 1 72 6 11 .8 1 63 5 26 .7 1 55 9 25 .4 1 90 4 31 .1 51 0. 8 96 1. 6 6 12 9 10 0. 0 06 5 G et a 19 0. 6 82 2. 8 34 9 11 .8 78 0 26 .3 72 9 24 .6 87 5 29 .5 28 0. 9 10 0 3. 4 2 96 2 10 0. 0 07 6 H am m ar la nd 81 1. 1 21 7 3. 0 84 7 11 .8 2 29 3 31 .8 1 75 6 24 .4 1 82 6 25 .3 43 0. 6 14 2 2. 0 7 20 6 10 0. 0 17 0 J om al a 14 2 1. 9 25 2 3. 4 1 05 7 14 .1 2 27 1 30 .3 1 72 0 22 .9 1 92 2 25 .6 24 0. 3 12 0 1. 6 7 50 7 10 0. 0 29 5 K um lin ge 11 0. 5 13 0. 6 43 1 19 .4 45 5 20 .5 48 5 21 .8 76 5 34 .4 9 0. 4 54 2. 4 2 22 4 10 0. 0 31 8 K ök ar 0 0. 0 0 0. 0 0 0. 0 28 9. 2 19 7 64 .8 80 26 .3 0 0. 0 0 0. 0 30 4 10 0. 0 41 7 L em la nd 77 1. 2 17 8 2. 7 83 1 12 .6 2 16 9 33 .0 1 48 9 22 .7 1 69 4 25 .8 32 0. 5 10 3 1. 6 6 57 3 10 0. 0 43 8 L um pa rla nd 13 0. 7 36 2. 0 18 5 10 .3 51 4 28 .8 46 5 26 .0 53 7 30 .0 10 0. 6 28 1. 6 1 78 7 10 0. 0 47 8 M ar ie ha m n- M aa ria nh am in a 14 3. 5 13 3. 4 81 20 .3 12 0 30 .2 78 19 .7 82 20 .7 1 0. 3 8 2. 0 39 8 10 0. 0 73 6 S al tv ik 42 0. 7 15 1 2. 5 55 8 9. 3 1 61 0 26 .8 1 54 5 25 .7 1 93 8 32 .2 38 0. 6 13 2 2. 2 6 01 3 10 0. 0 76 6 S ot tu ng a 2 0. 3 8 1. 3 10 8 17 .9 15 4 25 .5 14 9 24 .6 16 6 27 .4 5 0. 9 13 2. 2 60 3 10 0. 0 77 1 S un d 34 0. 7 12 4 2. 5 53 7 10 .6 1 49 4 29 .5 1 28 4 25 .3 1 46 3 28 .9 25 0. 5 10 9 2. 2 5 06 9 10 0. 0 94 1 V år dö 12 0. 3 75 2. 2 31 4 9. 1 89 4 25 .8 91 0 26 .3 1 15 7 33 .4 23 0. 7 83 2. 4 3 46 8 10 0. 0 To ta l 66 8 1. 0 1 66 3 2. 6 8 12 8 12 .4 19 0 21 29 .1 15 8 88 24 .3 18 3 04 28 .0 35 3 0. 5 1 29 4 2. 0 65 3 20 10 0. 0 R an ni kk o/ Et el är an ni kk o 04 9 E sp oo -E sb o 14 1 0. 9 79 8 5. 1 1 73 9 11 .1 4 03 4 25 .7 5 23 8 33 .3 3 46 8 22 .1 20 1 1. 3 98 0. 6 15 7 16 10 0. 0 07 8 H an ko -H an gö 50 0. 8 11 7 1. 8 43 7 6. 7 1 48 7 23 .0 2 68 6 41 .5 1 64 1 25 .3 28 0. 4 34 0. 5 6 47 9 10 0. 0 09 1 H el si nk i-H el si ng fo rs 15 9 2. 2 92 0 12 .7 90 5 12 .5 1 35 0 18 .6 2 08 5 28 .8 1 64 9 22 .8 10 3 1. 4 74 1. 0 7 24 4 10 0. 0 09 2 V an ta a- Va nd a 14 3 1. 4 97 7 9. 7 1 50 5 15 .0 2 38 9 23 .8 2 82 5 28 .2 1 96 5 19 .6 17 0 1. 7 54 0. 5 10 0 27 10 0. 0 14 9 In gå -In ko o 28 5 1. 5 1 36 2 7. 2 2 42 9 12 .9 4 53 4 24 .0 6 03 9 32 .0 3 80 4 20 .2 22 5 1. 2 19 1 1. 0 18 8 70 10 0. 0 23 5 K au ni ai ne n- G ra nk ul la 2 0. 8 10 5. 0 22 11 .1 49 24 .6 68 33 .9 45 22 .4 3 1. 5 2 0. 9 20 0 10 0. 0 25 7 K irk ko nu m m i-K yr ks lä tt 31 8 1. 6 1 68 0 8. 4 2 69 8 13 .5 5 00 8 25 .0 6 09 2 30 .4 3 88 1 19 .3 17 2 0. 9 21 7 1. 1 20 0 64 10 0. 0 32 2 K em iö ns aa ri 61 5 1. 8 1 80 5 5. 2 3 20 0 9. 2 7 10 5 20 .4 13 3 17 38 .3 8 11 2 23 .3 22 0 0. 6 40 2 1. 2 34 7 75 10 0. 0 40 7 L ap in jä rv i-L ap pt rä sk 14 7 0. 8 72 0 3. 9 2 02 9 11 .1 4 95 4 27 .1 6 76 5 37 .1 3 52 1 19 .3 74 0. 4 50 0. 3 18 2 60 10 0. 0 42 4 L ilje nd al 56 0. 9 32 2 5. 4 66 7 11 .2 1 52 6 25 .5 2 22 9 37 .2 1 13 0 18 .9 30 0. 5 24 0. 4 5 98 5 10 0. 0 43 4 L ov iis a- Lo vi sa 28 1. 0 10 2 3. 7 22 7 8. 1 72 3 25 .9 1 07 6 38 .4 61 7 22 .0 14 0. 5 12 0. 4 2 79 8 10 0. 0 44 4 L än si -T ur un m aa 89 3 2. 0 2 13 0 4. 8 5 97 4 13 .3 9 47 3 21 .1 15 3 32 34 .2 10 1 55 22 .6 41 4 0. 9 51 5 1. 2 44 8 86 10 0. 0 58 5 P er nå -P er na ja 36 4 1. 4 1 54 1 5. 7 2 80 4 10 .4 6 83 0 25 .3 9 83 4 36 .4 5 33 5 19 .8 14 6 0. 5 13 9 0. 5 26 9 93 10 0. 0 63 8 P or vo o- Bo rg å 44 5 1. 2 1 64 6 4. 4 4 07 6 10 .9 9 73 6 26 .1 13 4 29 35 .9 7 62 5 20 .4 23 6 0. 6 17 6 0. 5 37 3 69 10 0. 0 70 1 R uo ts in py ht ää -S trö m fo rs 20 2 1. 1 1 04 9 5. 8 2 09 4 11 .6 4 91 3 27 .1 6 36 7 35 .2 3 31 7 18 .3 86 0. 5 81 0. 4 18 1 10 10 0. 0 71 0 R aa se po ri 61 1 0. 9 2 48 9 3. 6 6 04 8 8. 8 15 2 62 22 .2 27 4 53 39 .9 16 1 49 23 .5 42 1 0. 6 40 5 0. 6 68 8 37 10 0. 0 75 3 S ip oo -S ib bo 17 8 1. 0 74 3 4. 0 2 05 6 11 .1 4 62 9 24 .9 6 65 4 35 .8 4 03 9 21 .7 21 6 1. 2 73 0. 4 18 5 88 10 0. 0 75 5 S iu nt io -S ju nd eå 24 3 1. 9 1 29 8 10 .4 2 17 6 17 .4 3 07 8 24 .6 3 59 4 28 .7 1 90 4 15 .2 10 1 0. 8 13 2 1. 1 12 5 25 10 0. 0 To ta l 4 87 8 1. 3 19 7 08 5. 4 41 0 85 11 .2 87 0 81 23 .7 13 1 08 0 35 .7 78 3 56 21 .3 2 85 9 0. 8 2 67 8 0. 7 36 7 72 5 10 0. 0 R an ni kk o/ Po hj an m aa n ra nn ik ko 23 1 K as ki ne n- Ka sk ö 14 2. 1 92 13 .4 16 0 23 .2 20 2 29 .5 12 4 18 .1 92 13 .4 1 0. 1 2 0. 3 68 7 10 0. 0 28 0 K or sn äs 34 9 2. 0 1 39 9 7. 9 2 33 6 13 .1 6 35 4 35 .7 4 19 0 23 .6 3 01 0 16 .9 70 0. 4 88 0. 5 17 7 96 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 132 Ta bl e 5a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad va nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 28 7 K ris tin es ta d- Kr is tii na nk au pu nk i 84 0 1. 7 4 21 4 8. 4 6 23 7 12 .5 16 6 13 33 .3 13 1 62 26 .4 8 59 3 17 .2 67 0. 1 17 6 0. 4 49 9 03 10 0. 0 28 8 K ro no by -K ru un up yy 75 4 1. 5 3 74 8 7. 5 6 70 4 13 .4 20 1 79 40 .4 12 4 88 25 .0 5 93 9 11 .9 75 0. 2 8 0. 0 49 8 96 10 0. 0 44 0 L ar sm o- Lu ot o 29 0 2. 7 79 2 7. 4 2 10 5 19 .6 3 93 0 36 .6 2 33 1 21 .7 1 26 4 11 .8 13 0. 1 3 0. 0 10 7 30 10 0. 0 47 5 M al ax -M aa la ht i 59 9 1. 7 2 38 3 6. 8 4 85 5 13 .8 12 4 51 35 .4 8 76 8 24 .9 5 77 3 16 .4 19 2 0. 5 20 4 0. 6 35 2 24 10 0. 0 49 9 K or sh ol m -M us ta sa ar i 1 21 3 2. 1 3 03 7 5. 3 7 53 0 13 .0 18 6 62 32 .3 14 9 20 25 .8 11 9 07 20 .6 29 7 0. 5 22 5 0. 4 57 7 91 10 0. 0 54 5 N är pe s- N är pi ö 1 25 9 1. 9 5 81 0 8. 9 7 89 8 12 .1 22 5 37 34 .6 15 6 43 24 .0 11 6 80 17 .9 12 1 0. 2 20 5 0. 3 65 1 53 10 0. 0 55 9 O ra va is -O ra va in en 30 3 2. 3 1 20 5 9. 2 2 18 7 16 .7 4 65 4 35 .6 2 68 0 20 .5 1 88 7 14 .4 11 0 0. 8 60 0. 5 13 0 88 10 0. 0 59 8 J ak ob st ad -P ie ta rs aa ri 91 1. 6 33 9 5. 9 1 30 4 22 .6 2 17 9 37 .8 1 14 3 19 .8 68 3 11 .9 20 0. 4 2 0. 0 5 76 0 10 0. 0 59 9 P ed er sö re -P ed er sö re n ku nt a 61 9 1. 1 3 64 8 6. 6 8 03 5 14 .6 23 1 90 42 .0 13 7 06 24 .8 5 88 2 10 .7 10 5 0. 2 6 0. 0 55 1 92 10 0. 0 89 3 N yk ar le by -U us ik aa rle py y 71 9 1. 5 3 03 9 6. 3 6 52 5 13 .4 18 4 17 37 .9 11 6 67 24 .0 7 78 7 16 .0 27 7 0. 6 17 5 0. 4 48 6 05 10 0. 0 90 5 V aa sa -V as a 20 4 1. 7 67 9 5. 7 1 37 9 11 .6 3 76 1 31 .6 3 26 8 27 .5 2 50 7 21 .1 61 0. 5 34 0. 3 11 8 92 10 0. 0 94 5 V ör å- M ax m o Vö yr i-M ak sa m aa 96 5 2. 5 3 01 0 7. 7 5 83 9 15 .0 13 5 91 34 .8 8 33 4 21 .4 6 69 7 17 .2 34 6 0. 9 22 7 0. 6 39 0 07 10 0. 0 To ta l 8 21 9 1. 8 33 3 95 7. 3 63 0 93 13 .7 16 6 72 1 36 .2 11 2 42 3 24 .4 73 7 03 16 .0 1 75 4 0. 4 1 41 6 0. 3 46 0 72 5 10 0. 0 Lo un ai s- Su om i 01 9 A ur a 55 1. 4 19 4 5. 1 57 5 15 .1 85 1 22 .4 1 29 5 34 .0 78 3 20 .6 24 0. 6 27 0. 7 3 80 5 10 0. 0 05 0 E ur a 24 0 0. 7 1 75 5 5. 1 3 99 1 11 .5 8 95 4 25 .8 13 5 53 39 .0 5 94 4 17 .1 41 0. 1 27 9 0. 8 34 7 58 10 0. 0 05 1 E ur aj ok i 92 0. 4 1 16 8 5. 3 2 67 9 12 .1 6 99 6 31 .5 7 05 0 31 .8 3 66 8 16 .5 71 0. 3 46 6 2. 1 22 1 88 10 0. 0 07 9 H ar ja va lta 53 0. 7 31 3 4. 3 80 7 11 .0 2 38 3 32 .6 2 64 9 36 .2 98 9 13 .5 8 0. 1 11 9 1. 6 7 32 1 10 0. 0 09 9 H on ka jo ki 55 9 2. 7 1 40 4 6. 7 2 87 2 13 .6 7 00 2 33 .2 6 26 2 29 .7 2 83 7 13 .5 29 0. 1 12 5 0. 6 21 0 90 10 0. 0 10 2 H ui tti ne n 59 9 2. 2 1 87 0 6. 9 3 56 3 13 .2 7 97 8 29 .6 9 27 0 34 .3 3 42 0 12 .7 15 0. 1 27 9 1. 0 26 9 95 10 0. 0 18 1 J äm ijä rv i 32 4 2. 4 1 03 9 7. 8 1 70 7 12 .8 3 94 0 29 .6 4 00 6 30 .1 2 18 7 16 .5 28 0. 2 63 0. 5 13 2 94 10 0. 0 20 2 K aa rin a 11 0 1. 7 35 5 5. 4 1 02 6 15 .6 1 49 0 22 .6 2 17 9 33 .0 1 35 5 20 .5 49 0. 7 36 0. 6 6 59 9 10 0. 0 21 4 K an ka an pä ä 1 41 4 3. 0 3 72 9 7. 8 5 52 0 11 .6 14 2 22 29 .9 15 2 79 32 .1 6 93 0 14 .6 15 1 0. 3 34 9 0. 7 47 5 94 10 0. 0 23 0 K ar vi a 68 1 2. 2 2 16 0 6. 8 3 92 6 12 .4 11 0 55 34 .8 9 56 9 30 .1 4 15 7 13 .1 33 0. 1 16 9 0. 5 31 7 50 10 0. 0 25 4 K iik oi ne n 11 2 1. 2 75 6 8. 2 1 28 9 14 .0 2 76 8 30 .1 2 81 6 30 .7 1 34 4 14 .6 4 0. 0 98 1. 1 9 18 5 10 0. 0 27 1 K ok em äk i 28 5 1. 0 1 89 2 6. 4 3 50 2 11 .8 9 87 2 33 .2 9 43 9 31 .7 4 33 5 14 .6 3 0. 0 44 4 1. 5 29 7 72 10 0. 0 28 4 K os ki T. l. 18 7 2. 4 53 5 6. 9 1 41 9 18 .4 1 57 9 20 .5 2 52 0 32 .7 1 32 9 17 .2 53 0. 7 94 1. 2 7 71 6 10 0. 0 30 4 K us ta vi 27 3 3. 3 62 8 7. 6 1 44 0 17 .4 1 55 6 18 .8 2 58 9 31 .2 1 56 2 18 .8 11 7 1. 4 13 2 1. 6 8 29 7 10 0. 0 31 9 K öy liö 21 4 1. 5 62 8 4. 4 1 26 9 8. 8 3 55 8 24 .7 6 15 6 42 .7 2 39 9 16 .6 11 0. 1 18 5 1. 3 14 4 20 10 0. 0 40 0 L ai til a 48 8 1. 6 2 00 2 6. 4 3 77 8 12 .0 7 35 1 23 .3 11 5 81 36 .8 5 98 6 19 .0 65 0. 2 25 2 0. 8 31 5 02 10 0. 0 41 3 L av ia 39 0 1. 7 1 34 9 5. 9 2 67 4 11 .7 6 98 8 30 .5 8 09 4 35 .3 3 17 4 13 .9 26 0. 1 22 7 1. 0 22 9 23 10 0. 0 42 3 L ie to 10 9 1. 3 31 6 3. 8 1 05 8 12 .6 1 84 5 21 .9 3 03 7 36 .0 1 94 9 23 .1 56 0. 7 55 0. 7 8 42 5 10 0. 0 43 0 L oi m aa 70 0 2. 2 2 08 4 6. 5 4 20 5 13 .0 7 49 9 23 .2 11 9 65 37 .1 5 57 2 17 .3 55 0. 2 20 3 0. 6 32 2 84 10 0. 0 44 2 L uv ia 13 2 1. 1 40 8 3. 4 1 23 6 10 .2 3 06 7 25 .2 5 42 0 44 .5 1 77 7 14 .6 1 0. 0 13 7 1. 1 12 1 78 10 0. 0 48 0 M ar tti la 13 4 1. 6 46 2 5. 4 1 10 0 12 .8 2 07 9 24 .2 3 04 7 35 .4 1 68 3 19 .6 38 0. 4 54 0. 6 8 59 6 10 0. 0 48 1 M as ku 17 6 1. 9 61 8 6. 7 1 45 1 15 .7 2 03 9 22 .1 2 99 0 32 .4 1 80 8 19 .6 86 0. 9 62 0. 7 9 23 0 10 0. 0 48 4 M er ik ar vi a 70 7 2. 1 2 36 3 7. 0 3 76 9 11 .1 9 73 9 28 .8 11 8 81 35 .1 5 07 5 15 .0 21 3 0. 6 13 1 0. 4 33 8 77 10 0. 0 50 3 M yn äm äk i 33 5 1. 2 1 09 0 3. 7 3 64 8 12 .5 7 57 1 26 .0 10 6 40 36 .5 5 46 1 18 .7 17 9 0. 6 23 2 0. 8 29 1 56 10 0. 0 52 9 N aa nt al i 24 4 1. 8 62 0 4. 5 2 11 6 15 .4 2 71 8 19 .8 4 66 0 33 .9 3 10 6 22 .6 16 9 1. 2 12 1 0. 9 13 7 55 10 0. 0 53 1 N ak ki la 69 0. 7 44 4 4. 8 1 27 3 13 .6 2 80 5 30 .0 3 23 9 34 .7 1 40 3 15 .0 9 0. 1 96 1. 0 9 33 9 10 0. 0 53 7 N oo rm ar kk u 23 5 1. 0 1 28 7 5. 3 3 14 6 12 .9 6 32 0 25 .9 8 92 4 36 .6 4 18 5 17 .2 3 0. 0 27 1 1. 1 24 3 70 10 0. 0 53 8 N ou si ai ne n 14 9 1. 5 45 9 4. 6 1 15 1 11 .5 2 34 4 23 .5 3 65 7 36 .6 2 09 1 20 .9 58 0. 6 82 0. 8 9 99 1 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 133 Ta bl e 5a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad va nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 56 1 O rip ää 95 1. 9 29 2 5. 9 52 1 10 .4 1 20 7 24 .2 1 85 4 37 .1 97 2 19 .5 20 0. 4 34 0. 7 4 99 5 10 0. 0 57 7 P ai m io 14 7 1. 3 49 0 4. 3 1 39 0 12 .1 2 49 0 21 .6 4 26 7 37 .1 2 59 7 22 .6 71 0. 6 63 0. 6 11 5 16 10 0. 0 60 8 P om ar kk u 20 5 0. 9 1 19 5 5. 3 2 26 6 10 .1 5 50 0 24 .4 8 50 6 37 .7 4 74 2 21 .0 10 0. 0 11 8 0. 5 22 5 41 10 0. 0 60 9 P or i 28 9 0. 9 1 70 4 5. 5 4 40 9 14 .3 6 87 2 22 .2 12 3 61 40 .0 4 90 9 15 .9 4 0. 0 39 5 1. 3 30 9 43 10 0. 0 63 1 P yh är an ta 12 4 1. 3 84 5 8. 8 1 09 2 11 .4 1 86 2 19 .4 3 69 5 38 .4 1 84 2 19 .2 18 0. 2 13 4 1. 4 9 61 2 10 0. 0 63 6 P öy ty ä 30 6 0. 8 1 29 4 3. 2 4 35 2 10 .8 10 4 55 25 .9 15 3 13 37 .9 8 16 6 20 .2 21 8 0. 5 27 9 0. 7 40 3 83 10 0. 0 68 0 R ai si o 36 1. 9 12 2 6. 3 30 5 15 .8 41 3 21 .4 64 4 33 .4 38 5 20 .0 16 0. 8 9 0. 5 1 93 1 10 0. 0 68 4 R au m a 25 4 0. 8 2 00 5 6. 5 3 51 2 11 .4 7 53 2 24 .5 10 9 61 35 .7 5 82 1 19 .0 67 0. 2 55 4 1. 8 30 7 06 10 0. 0 70 4 R us ko 64 1. 1 21 0 3. 4 70 3 11 .5 1 45 3 23 .7 2 33 2 38 .1 1 28 7 21 .0 36 0. 6 37 0. 6 6 12 4 10 0. 0 73 4 S al o 1 11 7 1. 1 4 25 7 4. 1 11 0 81 10 .6 23 4 63 22 .4 39 9 56 38 .2 23 5 63 22 .5 46 7 0. 5 66 6 0. 6 10 4 56 9 10 0. 0 73 8 S au vo 18 4 1. 5 58 2 4. 8 1 59 7 13 .2 2 72 6 22 .5 4 31 6 35 .6 2 54 0 20 .9 94 0. 8 10 2 0. 8 12 1 41 10 0. 0 74 7 S iik ai ne n 64 5 1. 8 1 93 7 5. 5 3 77 9 10 .8 10 2 58 29 .2 12 7 78 36 .4 5 42 1 15 .4 19 5 0. 6 93 0. 3 35 1 05 10 0. 0 76 1 S om er o 43 5 1. 3 1 95 4 5. 9 4 81 9 14 .6 9 23 9 28 .0 11 6 80 35 .4 4 49 1 13 .6 73 0. 2 28 7 0. 9 32 9 78 10 0. 0 78 3 S äk yl ä 15 4 1. 6 72 2 7. 4 97 9 10 .0 2 18 0 22 .2 3 90 5 39 .8 1 73 6 17 .7 11 0. 1 11 7 1. 2 9 80 4 10 0. 0 83 3 Ta iva ss al o 16 2 2. 5 43 3 6. 6 1 16 8 17 .8 1 32 0 20 .2 2 03 2 31 .0 1 26 5 19 .3 95 1. 5 73 1. 1 6 54 9 10 0. 0 83 8 Ta rv as jo ki 57 1. 4 18 6 4. 5 53 8 13 .0 97 1 23 .5 1 45 6 35 .3 87 2 21 .1 23 0. 6 27 0. 7 4 12 9 10 0. 0 85 3 Tu rk u- Åb o 17 2 1. 7 58 4 5. 8 1 62 8 16 .1 2 27 6 22 .5 3 32 7 32 .9 2 02 1 20 .0 71 0. 7 49 0. 5 10 1 29 10 0. 0 88 6 U lv ila 11 6 0. 4 1 30 3 4. 7 3 56 2 12 .9 8 65 2 31 .2 9 38 5 33 .9 4 35 0 15 .7 0 0. 0 33 3 1. 2 27 7 02 10 0. 0 89 5 U us ik au pu nk i 54 9 1. 9 1 54 7 5. 4 4 60 6 16 .0 6 71 9 23 .3 9 45 2 32 .8 5 32 2 18 .5 29 4 1. 0 32 3 1. 1 28 8 12 10 0. 0 91 8 V eh m aa 20 6 2. 1 65 1 6. 8 1 81 2 18 .8 2 11 3 21 .9 2 97 4 30 .8 1 67 2 17 .3 11 1 1. 2 11 0 1. 1 9 65 0 10 0. 0 To ta l 14 3 81 1. 5 54 2 43 5. 6 12 0 30 8 12 .4 25 4 26 8 26 .2 34 4 96 0 35 .5 17 0 48 7 17 .6 3 48 9 0. 4 8 59 3 0. 9 97 0 73 0 10 0. 0 H äm e- U us im aa 01 5 A rtj är vi 10 7 1. 2 58 5 6. 6 1 37 1 15 .4 2 33 4 26 .3 2 83 6 31 .9 1 57 9 17 .8 44 0. 5 28 0. 3 8 88 3 10 0. 0 01 6 A si kk al a 38 1 0. 9 3 23 0 8. 0 6 04 2 14 .9 10 1 79 25 .2 12 7 99 31 .6 7 52 0 18 .6 19 0 0. 5 11 2 0. 3 40 4 52 10 0. 0 01 8 A sk ol a 14 0 1. 3 72 7 6. 6 1 51 8 13 .7 2 62 3 23 .7 3 99 4 36 .1 1 95 2 17 .7 67 0. 6 39 0. 4 11 0 61 10 0. 0 06 1 F or ss a 76 0. 6 93 3 7. 0 1 92 5 14 .5 3 14 0 23 .6 5 06 4 38 .1 1 99 9 15 .0 36 0. 3 13 6 1. 0 13 3 10 10 0. 0 08 1 H ar to la 25 8 0. 6 3 87 3 8. 8 6 18 5 14 .0 10 1 95 23 .1 15 5 61 35 .3 7 75 2 17 .6 17 6 0. 4 99 0. 2 44 0 99 10 0. 0 08 2 H at tu la 36 6 1. 6 2 09 7 8. 9 3 70 0 15 .7 6 70 6 28 .5 7 04 9 30 .0 3 41 9 14 .5 11 1 0. 5 72 0. 3 23 5 21 10 0. 0 08 6 H au sj är vi 34 8 1. 8 2 01 8 10 .6 3 13 8 16 .5 4 48 9 23 .7 6 39 8 33 .7 2 44 6 12 .9 75 0. 4 59 0. 3 18 9 72 10 0. 0 09 8 H ol lo la 34 6 1. 2 2 37 2 8. 3 4 68 9 16 .4 7 56 0 26 .4 8 78 7 30 .7 4 72 6 16 .5 14 2 0. 5 43 0. 2 28 6 66 10 0. 0 10 3 H um pp ila 96 1. 4 52 0 7. 3 86 4 12 .2 1 46 2 20 .6 2 72 8 38 .4 1 37 9 19 .4 0 0. 0 57 0. 8 7 10 6 10 0. 0 10 6 H yv in kä ä 32 4 1. 6 1 75 3 8. 9 2 92 3 14 .8 4 87 3 24 .6 6 97 9 35 .2 2 82 0 14 .2 87 0. 4 48 0. 2 19 8 07 10 0. 0 10 9 H äm ee nl in na 1 71 7 1. 3 11 5 02 8. 9 16 8 90 13 .1 34 1 99 26 .5 42 8 12 33 .2 20 8 72 16 .2 54 5 0. 4 42 1 0. 3 12 8 95 8 10 0. 0 11 1 H ei no la 56 7 1. 0 4 35 5 7. 8 7 32 0 13 .0 14 0 48 25 .0 19 2 13 34 .2 10 1 84 18 .1 28 8 0. 5 14 8 0. 3 56 1 24 10 0. 0 16 5 J an ak ka la 54 7 1. 6 2 92 7 8. 8 4 59 5 13 .8 8 54 9 25 .6 11 3 79 34 .1 5 09 0 15 .3 16 7 0. 5 89 0. 3 33 3 43 10 0. 0 16 9 J ok io in en 13 0 1. 7 82 7 10 .5 1 20 8 15 .4 1 70 7 21 .8 2 80 2 35 .7 1 04 4 13 .3 11 0. 1 11 9 1. 5 7 84 9 10 0. 0 18 6 J är ve np ää 25 1. 8 16 4 11 .7 28 5 20 .4 36 3 25 .9 36 3 26 .0 17 6 12 .6 15 1. 1 10 0. 7 1 40 1 10 0. 0 22 3 K ar ja lo hj a 12 8 1. 8 63 4 8. 8 1 42 0 19 .8 1 95 4 27 .2 1 98 4 27 .6 95 8 13 .3 56 0. 8 53 0. 7 7 18 8 10 0. 0 22 4 K ar kk ila 20 9 1. 3 1 10 5 6. 9 2 17 2 13 .6 4 20 4 26 .3 5 48 3 34 .3 2 71 1 16 .9 94 0. 6 33 0. 2 16 0 11 10 0. 0 24 5 K er av a 18 1. 5 12 3 10 .1 21 8 17 .9 30 1 24 .7 34 6 28 .3 18 5 15 .2 19 1. 5 10 0. 8 1 22 0 10 0. 0 28 3 H äm ee nk os ki 14 6 1. 3 1 16 5 10 .1 1 96 0 16 .9 3 15 4 27 .3 3 35 4 29 .0 1 71 8 14 .8 72 0. 6 6 0. 1 11 5 75 10 0. 0 31 6 K är kö lä 23 4 1. 7 1 45 1 10 .5 2 39 6 17 .3 3 88 7 28 .1 4 09 9 29 .7 1 69 4 12 .3 55 0. 4 10 0. 1 13 8 26 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 134 Ta bl e 5a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad va nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 39 8 L ah ti 11 3 1. 6 57 0 8. 3 1 32 3 19 .2 1 79 9 26 .1 1 90 4 27 .6 1 11 8 16 .2 30 0. 4 45 0. 7 6 90 1 10 0. 0 43 3 L op pi 65 2 1. 5 3 88 6 9. 1 6 02 3 14 .1 10 8 83 25 .6 13 7 26 32 .2 7 00 1 16 .4 21 6 0. 5 20 5 0. 5 42 5 93 10 0. 0 44 4 L oh ja 34 5 1. 8 1 96 5 10 .2 4 09 0 21 .3 4 95 7 25 .8 4 94 3 25 .8 2 61 8 13 .6 14 2 0. 7 13 8 0. 7 19 1 99 10 0. 0 50 4 M yr sk yl ä- M ör sk om 12 0 1. 0 54 8 4. 7 1 63 9 14 .1 3 08 9 26 .7 4 14 2 35 .8 1 96 8 17 .0 53 0. 5 29 0. 3 11 5 88 10 0. 0 50 5 M än ts äl ä 53 7 1. 6 2 96 2 8. 6 5 09 9 14 .8 8 86 5 25 .7 11 9 23 34 .6 4 95 0 14 .4 10 3 0. 3 37 0. 1 34 4 77 10 0. 0 53 2 N as to la 22 7 1. 1 1 53 7 7. 2 3 48 8 16 .4 5 68 9 26 .8 6 58 8 31 .0 3 52 5 16 .6 12 5 0. 6 54 0. 3 21 2 32 10 0. 0 54 0 N um m i-P us ul a 48 1 1. 7 2 44 2 8. 6 4 76 5 16 .8 7 70 7 27 .2 8 53 0 30 .1 4 03 6 14 .3 18 5 0. 7 16 2 0. 6 28 3 09 10 0. 0 54 3 N ur m ijä rv i 37 3 2. 2 1 76 5 10 .4 3 47 3 20 .5 4 35 6 25 .8 4 47 2 26 .5 2 16 0 12 .8 22 0 1. 3 91 0. 5 16 9 09 10 0. 0 56 0 O rim at til a 47 3 1. 4 3 50 1 10 .3 6 24 0 18 .3 8 65 3 25 .4 9 78 0 28 .7 5 09 8 15 .0 17 9 0. 5 12 7 0. 4 34 0 50 10 0. 0 57 6 P ad as jo ki 42 4 1. 0 2 99 4 7. 1 5 14 7 12 .2 10 8 89 25 .8 14 6 45 34 .7 7 85 0 18 .6 15 2 0. 4 14 6 0. 4 42 2 47 10 0. 0 61 1 P or na in en 83 1. 1 39 5 5. 1 1 09 6 14 .0 2 15 7 27 .5 2 76 4 35 .3 1 24 1 15 .8 70 0. 9 26 0. 3 7 83 2 10 0. 0 61 6 P uk ki la 78 1. 1 45 7 6. 7 1 11 8 16 .3 1 88 5 27 .5 2 28 2 33 .3 98 5 14 .4 39 0. 6 16 0. 2 6 85 9 10 0. 0 69 4 R iih im äk i 13 0 1. 9 76 8 11 .3 1 23 8 18 .2 1 59 3 23 .4 2 10 3 30 .9 92 3 13 .6 24 0. 4 20 0. 3 6 79 8 10 0. 0 78 1 S ys m ä 33 9 0. 7 4 78 0 9. 1 7 12 8 13 .6 10 9 03 20 .8 18 1 39 34 .6 10 7 92 20 .6 20 5 0. 4 99 0. 2 52 3 84 10 0. 0 83 4 Ta m m el a 31 2 0. 7 2 46 3 5. 7 4 65 1 10 .7 13 2 90 30 .5 14 9 29 34 .3 7 59 7 17 .4 10 1 0. 2 23 9 0. 6 43 5 81 10 0. 0 85 8 Tu us ul a 18 9 1. 9 93 8 9. 3 1 82 1 18 .0 2 65 1 26 .3 2 87 4 28 .5 1 44 1 14 .3 13 7 1. 4 44 0. 4 10 0 96 10 0. 0 92 7 V ih ti 36 7 1. 2 1 97 3 6. 6 4 47 2 14 .9 8 12 8 27 .0 9 76 7 32 .4 5 04 9 16 .8 20 7 0. 7 14 6 0. 5 30 1 08 10 0. 0 98 1 Y pä jä 83 1. 1 56 9 7. 3 96 3 12 .4 1 73 9 22 .4 3 00 6 38 .8 1 31 7 17 .0 0 0. 0 80 1. 0 7 75 7 10 0. 0 To ta l 11 4 90 1. 3 76 8 75 8. 4 13 4 59 5 14 .7 23 5 15 9 25 .7 30 0 54 9 32 .8 14 9 89 3 16 .4 4 43 7 0. 5 3 29 6 0. 4 91 6 29 4 10 0. 0 Ka ak ko is -S uo m i 07 5 H am in a 1 13 6 2. 6 4 43 5 10 .1 6 10 6 13 .9 12 2 68 27 .9 12 9 90 29 .6 6 73 5 15 .3 86 0. 2 16 7 0. 4 43 9 24 10 0. 0 14 2 Ii tti 38 3 1. 0 2 69 1 6. 8 4 98 1 12 .6 10 4 24 26 .3 13 5 27 34 .1 7 43 7 18 .7 10 8 0. 3 13 5 0. 3 39 6 87 10 0. 0 15 3 Im at ra 21 8 2. 2 96 6 9. 8 1 40 3 14 .3 2 42 6 24 .7 3 14 0 31 .9 1 65 4 16 .8 8 0. 1 23 0. 2 9 83 8 10 0. 0 28 5 K ot ka 53 5 3. 0 2 12 8 11 .8 2 78 9 15 .4 5 17 1 28 .6 4 82 6 26 .7 2 49 8 13 .8 48 0. 3 93 0. 5 18 0 88 10 0. 0 28 6 K ou vo la 2 23 4 1. 3 12 9 58 7. 4 20 0 18 11 .4 47 0 77 26 .8 60 6 79 34 .6 31 6 71 18 .0 48 6 0. 3 48 1 0. 3 17 5 60 4 10 0. 0 40 5 L ap pe en ra nt a 1 66 1 2. 3 7 94 5 10 .9 10 9 15 15 .0 18 3 16 25 .2 22 0 68 30 .4 11 5 01 15 .8 75 0. 1 23 9 0. 3 72 7 20 10 0. 0 41 6 L em i 30 8 1. 9 1 65 9 10 .2 2 67 3 16 .5 4 12 8 25 .4 5 07 9 31 .3 2 32 4 14 .3 17 0. 1 48 0. 3 16 2 35 10 0. 0 44 1 L uu m äk i 1 26 4 2. 1 5 22 9 8. 9 8 02 7 13 .6 16 4 84 28 .0 18 1 47 30 .8 9 61 7 16 .3 62 0. 1 12 3 0. 2 58 9 53 10 0. 0 48 9 M ie hi kk äl ä 67 3 2. 1 2 60 0 8. 2 4 02 2 12 .7 8 83 9 28 .0 10 4 51 33 .1 4 72 7 15 .0 15 3 0. 5 12 2 0. 4 31 5 85 10 0. 0 58 0 P ar ik ka la 55 0 1. 3 3 03 3 7. 0 6 64 2 15 .4 13 6 33 31 .6 14 5 22 33 .7 4 58 2 10 .6 14 0. 0 12 2 0. 3 43 0 98 10 0. 0 62 4 P yh tä ä- Py tti s 13 9 0. 7 79 2 4. 2 2 05 7 11 .0 5 47 3 29 .1 6 78 8 36 .1 3 38 4 18 .0 93 0. 5 58 0. 3 18 7 85 10 0. 0 68 9 R au tjä rv i 53 3 1. 9 1 93 8 6. 8 4 32 7 15 .2 7 97 3 28 .1 9 52 0 33 .5 4 01 5 14 .1 10 0. 0 95 0. 3 28 4 11 10 0. 0 70 0 R uo ko la ht i 1 06 8 1. 3 5 14 0 6. 4 10 2 13 12 .8 22 0 29 27 .6 29 4 34 36 .9 11 6 65 14 .6 50 0. 1 22 9 0. 3 79 8 27 10 0. 0 73 9 S av ita ip al e 69 2 1. 6 4 00 2 9. 2 6 05 2 13 .9 12 3 17 28 .3 14 2 91 32 .8 6 00 2 13 .8 51 0. 1 14 3 0. 3 43 5 50 10 0. 0 77 5 S uo m en ni em i 31 6 1. 3 2 01 2 8. 3 2 63 0 10 .9 6 62 3 27 .4 8 40 3 34 .8 4 01 0 16 .6 10 4 0. 4 60 0. 3 24 1 57 10 0. 0 83 1 Ta ip al sa ar i 28 6 1. 0 2 47 5 8. 9 3 49 7 12 .6 7 30 6 26 .3 9 76 9 35 .2 4 16 0 15 .0 43 0. 2 20 4 0. 7 27 7 40 10 0. 0 93 5 V iro la ht i 76 7 3. 0 2 36 2 9. 1 3 27 0 12 .7 7 33 3 28 .4 8 23 2 31 .9 3 45 6 13 .4 18 5 0. 7 23 6 0. 9 25 8 42 10 0. 0 97 8 Y lä m aa 56 8 1. 9 2 27 0 7. 5 3 61 7 11 .9 8 58 4 28 .2 10 3 18 33 .9 4 96 2 16 .3 48 0. 2 77 0. 3 30 4 44 10 0. 0 To ta l 13 3 31 1. 7 64 6 35 8. 2 10 3 23 6 13 .1 21 6 40 4 27 .5 26 2 18 5 33 .3 12 4 40 0 15 .8 1 64 2 0. 2 2 65 6 0. 3 78 8 48 8 10 0. 0 Pi rk an m aa 02 0 A ka a 67 1. 3 45 9 8. 9 87 9 17 .1 1 48 5 28 .9 1 61 7 31 .4 57 6 11 .2 14 0. 3 51 1. 0 5 14 8 10 0. 0 10 8 H äm ee nk yr ö 37 2 1. 2 2 16 7 6. 8 4 53 9 14 .3 9 85 0 31 .0 10 6 76 33 .6 3 94 6 12 .4 64 0. 2 16 7 0. 5 31 7 81 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 135 Ta bl e 5a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad va nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 14 3 Ik aa lin en 76 2 1. 3 4 06 4 7. 1 7 31 4 12 .8 17 7 28 31 .1 19 3 23 33 .8 7 46 7 13 .1 97 0. 2 35 0 0. 6 57 1 05 10 0. 0 17 7 J uu pa jo ki 28 0 1. 4 1 69 8 8. 3 2 49 6 12 .2 5 38 1 26 .3 7 21 7 35 .2 3 19 1 15 .6 43 0. 2 18 0 0. 9 20 4 84 10 0. 0 21 1 K an ga sa la 75 5 2. 3 2 05 6 6. 3 4 17 7 12 .7 8 79 2 26 .8 10 7 07 32 .6 6 03 6 18 .4 95 0. 3 24 1 0. 7 32 8 59 10 0. 0 25 0 K ih ni ö 35 7 1. 3 1 27 4 4. 6 2 71 0 9. 8 9 32 3 33 .8 10 2 91 37 .4 3 49 5 12 .7 20 0. 1 86 0. 3 27 5 55 10 0. 0 28 9 K uh m al ah ti 21 9 1. 8 1 38 1 11 .1 1 92 3 15 .4 3 16 5 25 .4 3 84 0 30 .8 1 82 3 14 .6 60 0. 5 71 0. 6 12 4 83 10 0. 0 31 0 K yl m äk os ki 11 4 1. 1 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0. 0 98 0 Y lö jä rv i 95 4 1. 1 4 71 9 5. 3 9 06 7 10 .1 26 5 95 29 .6 34 3 76 38 .2 13 6 74 15 .2 10 0 0. 1 46 6 0. 5 89 9 51 10 0. 0 To ta l 13 5 40 1. 5 58 1 35 6. 4 10 7 71 9 11 .9 25 8 23 8 28 .5 32 3 73 3 35 .7 13 7 21 4 15 .1 1 79 7 0. 2 6 27 4 0. 7 90 6 65 0 10 0. 0 Et el ä- Sa vo 04 6 E no nk os ki 51 3 2. 0 2 18 4 8. 3 4 06 1 15 .5 6 97 8 26 .6 8 18 4 31 .3 4 18 4 16 .0 21 0. 1 64 0. 2 26 1 89 10 0. 0 09 0 H ei nä ve si 1 49 0 1. 6 7 15 0 7. 9 13 1 57 14 .4 28 1 20 30 .9 27 8 46 30 .6 13 1 05 14 .4 30 0. 0 22 3 0. 2 91 1 21 10 0. 0 09 7 H irv en sa lm i 31 3 0. 8 2 85 8 7. 4 5 14 5 13 .4 9 89 5 25 .8 13 2 30 34 .5 6 70 1 17 .5 16 5 0. 4 94 0. 2 38 4 00 10 0. 0 17 1 J or oi ne n 88 4 1. 9 3 69 7 8. 1 6 04 6 13 .2 14 7 39 32 .2 12 9 42 28 .3 7 31 7 16 .0 0 0. 0 18 8 0. 4 45 8 15 10 0. 0 17 8 J uv a 1 07 0 1. 1 7 55 8 8. 0 12 2 95 13 .1 27 3 56 29 .1 29 3 32 31 .2 16 0 30 17 .0 18 3 0. 2 22 4 0. 2 94 0 49 10 0. 0 21 3 K an ga sn ie m i 1 15 3 1. 3 8 71 5 9. 7 14 3 38 15 .9 24 8 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ta sa lm i 78 5 1. 8 3 99 3 9. 0 7 48 6 16 .9 12 7 33 28 .7 13 2 78 29 .9 5 94 1 13 .4 17 0. 0 13 0 0. 3 44 3 65 10 0. 0 69 6 R is tii na 45 8 1. 0 3 54 7 7. 7 5 74 3 12 .4 12 0 07 25 .9 15 7 19 33 .9 8 63 8 18 .6 15 0 0. 3 83 0. 2 46 3 45 10 0. 0 74 0 S av on lin na 1 51 4 1. 5 7 36 5 7. 1 14 3 46 13 .8 30 3 63 29 .1 35 2 38 33 .8 15 1 64 14 .5 78 0. 1 28 9 0. 3 10 4 35 6 10 0. 0 76 8 S ul ka va 84 4 1. 7 4 45 6 8. 9 7 13 0 14 .3 13 9 24 27 .9 16 7 82 33 .6 6 53 8 13 .1 44 0. 1 17 6 0. 4 49 8 93 10 0. 0 To ta l 15 9 05 1. 4 93 3 59 8. 0 16 2 99 7 14 .0 33 8 05 4 29 .0 37 2 88 5 32 .0 17 9 40 9 15 .4 1 65 5 0. 1 2 83 5 0. 2 1 16 7 10 0 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 136 Ta bl e 5a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad va nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % Et el ä- Po hj an m aa 00 5 A la jä rv i 1 35 0 1. 8 4 97 1 6. 6 8 25 1 11 .0 25 9 45 34 .7 25 0 85 33 .5 8 85 5 11 .8 13 0. 0 34 0 0. 5 74 8 11 10 0. 0 01 0 A la vu s 1 20 0 2. 2 4 59 2 8. 5 6 86 6 12 .7 16 5 18 30 .5 17 4 57 32 .2 7 22 0 13 .3 46 0. 1 30 0 0. 6 54 2 00 10 0. 0 05 2 E vi jä rv i 47 9 2. 0 2 30 1 9. 8 3 19 7 13 .6 9 65 2 41 .1 5 50 1 23 .4 2 34 3 10 .0 17 0. 1 1 0. 0 23 4 91 10 0. 0 07 4 H al su a 24 3 0. 9 1 24 1 4. 6 3 29 5 12 .3 11 6 70 43 .7 6 51 2 24 .4 3 67 3 13 .8 12 0. 1 72 0. 3 26 7 17 10 0. 0 09 5 H im an ka 39 7 2. 2 1 40 1 7. 6 2 07 0 11 .2 7 59 7 41 .2 4 60 0 25 .0 2 31 8 12 .6 7 0. 0 49 0. 3 18 4 39 10 0. 0 14 5 Il m aj ok i 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34 1 61 10 0. 0 58 4 P er ho 69 9 1. 4 2 45 8 4. 9 5 48 1 10 .9 22 3 30 44 .5 13 1 33 26 .1 5 90 4 11 .8 10 7 0. 2 12 0 0. 2 50 2 33 10 0. 0 74 3 S ei nä jo ki 1 97 2 2. 3 9 07 8 10 .4 13 1 10 15 .0 28 4 04 32 .6 22 9 34 26 .3 11 2 24 12 .9 13 5 0. 2 40 3 0. 5 87 2 60 10 0. 0 75 9 S oi ni 61 9 1. 5 2 42 5 5. 7 3 98 4 9. 4 16 8 03 39 .6 13 6 79 32 .2 4 79 4 11 .3 12 0. 0 15 4 0. 4 42 4 68 10 0. 0 84 6 Te uv a 61 8 1. 7 3 02 6 8. 4 4 75 5 13 .2 13 5 28 37 .4 8 38 2 23 .2 5 74 6 15 .9 47 0. 1 71 0. 2 36 1 73 10 0. 0 84 9 To ho la m pi 53 0 1. 4 3 17 6 8. 4 4 79 2 12 .7 15 1 76 40 .3 8 97 7 23 .8 4 91 4 13 .1 11 0. 0 72 0. 2 37 6 48 10 0. 0 86 3 Tö ys ä 50 6 2. 3 1 71 7 7. 7 2 31 3 10 .3 6 14 2 27 .5 7 96 1 35 .6 3 62 4 16 .2 1 0. 0 97 0. 4 22 3 60 10 0. 0 92 4 V et el i 51 1 1. 6 2 00 6 6. 4 3 29 5 10 .5 13 8 99 44 .2 8 28 9 26 .3 3 41 0 10 .8 14 0. 1 53 0. 2 31 4 77 10 0. 0 93 4 V im pe li 18 9 1. 0 92 5 5. 1 2 16 3 12 .0 7 74 1 42 .8 4 88 3 27 .0 2 12 8 11 .8 8 0. 1 37 0. 2 18 0 75 10 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5 81 32 .3 14 3 71 36 .9 5 25 4 13 .5 13 0. 0 20 3 0. 5 38 9 70 10 0. 0 22 6 K ar st ul a 85 4 1. 2 3 78 6 5. 4 6 35 7 9. 0 26 9 94 38 .2 23 6 66 33 .5 8 78 7 12 .4 44 0. 1 15 2 0. 2 70 6 40 10 0. 0 24 9 K eu ru u 1 19 8 1. 1 5 73 5 5. 4 10 9 92 10 .3 32 7 19 30 .8 40 0 62 37 .7 15 0 73 14 .2 99 0. 1 52 0 0. 5 10 6 39 8 10 0. 0 25 6 K in nu la 55 5 1. 5 2 51 0 6. 7 3 81 3 10 .2 14 7 43 39 .6 10 9 18 29 .3 4 52 4 12 .2 60 0. 2 10 2 0. 3 37 2 25 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 137 Ta bl e 5a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad va nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 26 5 K iv ijä rv i 79 0 1. 9 3 08 5 7. 5 3 75 3 9. 1 14 4 24 34 .8 13 6 10 32 .9 5 54 4 13 .4 25 0. 1 19 4 0. 5 41 4 25 10 0. 0 27 5 K on ne ve si 81 7 1. 9 3 83 3 8. 7 6 89 4 15 .6 13 2 21 29 .9 13 0 10 29 .5 6 32 7 14 .3 0 0. 0 68 0. 2 44 1 69 10 0. 0 29 1 K uh m oi ne n 79 3 1. 4 5 82 9 10 .3 7 88 8 13 .9 13 9 94 24 .7 18 6 22 32 .9 9 30 1 16 .4 12 8 0. 2 11 0 0. 2 56 6 65 10 0. 0 31 2 K yy jä rv i 37 2 1. 1 1 60 3 4. 7 2 94 5 8. 7 14 7 62 43 .3 10 6 71 31 .3 3 61 0 10 .6 15 0. 1 81 0. 2 34 0 59 10 0. 0 41 0 L au ka a 79 0 1. 6 5 17 9 10 .7 8 50 3 17 .5 13 1 13 27 .0 14 3 79 29 .6 6 45 0 13 .3 70 0. 1 11 2 0. 2 48 5 97 10 0. 0 43 5 L uh an ka 14 2 0. 8 1 51 7 8. 5 2 91 4 16 .3 4 11 0 23 .0 5 84 7 32 .7 3 24 9 18 .2 36 0. 2 57 0. 3 17 8 72 10 0. 0 49 5 M ul tia 78 0 1. 2 3 34 8 5. 3 5 55 2 8. 7 21 9 41 34 .5 22 9 68 36 .1 8 86 2 13 .9 40 0. 1 14 1 0. 2 63 6 33 10 0. 0 50 0 M uu ra m e 15 1 1. 3 1 17 6 10 .3 1 84 0 16 .2 2 92 1 25 .6 3 46 6 30 .4 1 79 2 15 .7 19 0. 2 27 0. 2 11 3 92 10 0. 0 59 2 P et äj äv es i 40 6 1. 1 3 33 3 8. 8 5 79 4 15 .3 11 0 83 29 .3 12 7 16 33 .6 4 39 6 11 .6 61 0. 2 25 0. 1 37 8 15 10 0. 0 60 1 P ih tip ud as 89 8 1. 0 7 19 0 8. 1 7 37 6 8. 3 35 7 54 40 .3 29 3 82 33 .1 7 81 8 8. 8 17 5 0. 2 57 0. 1 88 6 50 10 0. 0 72 9 S aa rij är vi 1 31 7 1. 3 6 56 3 6. 4 10 6 06 10 .3 34 0 55 32 .9 36 2 92 35 .1 14 2 19 13 .8 60 0. 1 28 4 0. 3 10 3 39 5 10 0. 0 85 0 To iva kk a 43 8 1. 5 2 99 3 9. 9 5 09 4 16 .9 8 56 4 28 .4 8 65 1 28 .7 4 25 6 14 .1 32 0. 1 84 0. 3 30 1 13 10 0. 0 89 2 U ur ai ne n 31 4 1. 1 2 40 2 8. 4 4 24 2 14 .9 8 58 5 30 .2 9 71 0 34 .1 3 13 1 11 .0 48 0. 2 17 0. 1 28 4 49 10 0. 0 93 1 V iit as aa ri 1 36 4 1. 3 8 87 4 8. 2 14 2 57 13 .2 36 7 98 34 .1 36 1 02 33 .5 10 3 47 9. 6 87 0. 1 52 0. 1 10 7 88 0 10 0. 0 99 2 Ä än ek os ki 1 16 4 1. 5 5 89 5 7. 8 10 2 08 13 .5 22 8 50 30 .3 25 3 11 33 .6 9 79 7 13 .0 34 0. 1 11 0 0. 2 75 3 69 10 0. 0 To ta l 17 5 32 1. 3 10 8 81 3 7. 9 17 5 78 1 12 .7 43 4 60 7 31 .4 45 8 89 3 33 .2 18 2 06 7 13 .2 1 59 3 0. 1 3 02 5 0. 2 1 38 2 31 1 10 0. 0 Po hj oi s- Sa vo 14 0 Ii sa lm i 85 3 1. 5 6 75 8 12 .2 8 54 6 15 .4 20 4 89 36 .9 13 2 68 23 .9 5 47 1 9. 9 0 0. 0 10 6 0. 2 55 4 91 10 0. 0 17 4 J ua nk os ki 45 4 1. 3 3 29 4 9. 2 5 11 0 14 .3 13 0 34 36 .5 9 11 1 25 .5 4 62 5 12 .9 14 0. 0 95 0. 3 35 7 37 10 0. 0 20 4 K aa vi 63 4 1. 1 4 39 5 7. 5 6 27 0 10 .7 22 5 11 38 .5 16 7 03 28 .6 7 60 7 13 .0 21 0. 0 26 5 0. 5 58 4 06 10 0. 0 22 7 K ar ttu la 81 7 2. 0 3 46 4 8. 4 6 28 8 15 .2 13 3 98 32 .4 11 4 79 27 .8 5 82 7 14 .1 1 0. 0 77 0. 2 41 3 51 10 0. 0 23 9 K ei te le 48 0 1. 2 3 19 2 7. 8 5 25 8 12 .8 14 8 29 36 .1 13 9 13 33 .9 3 25 1 7. 9 64 0. 2 58 0. 1 41 0 44 10 0. 0 26 3 K iu ru ve si 1 39 8 1. 4 8 69 2 8. 9 13 1 03 13 .4 37 5 33 38 .3 29 5 05 30 .1 7 61 4 7. 8 20 5 0. 2 73 0. 1 98 1 23 10 0. 0 29 7 K uo pi o 1 15 4 1. 3 7 53 2 8. 5 12 5 51 14 .1 28 5 14 32 .1 24 2 63 27 .3 14 4 91 16 .3 0 0. 0 34 6 0. 4 88 8 51 10 0. 0 40 2 L ap in la ht i 61 9 1. 4 4 69 6 10 .3 6 15 1 13 .4 17 7 65 38 .8 11 7 10 25 .6 4 76 2 10 .4 0 0. 0 74 0. 2 45 7 76 10 0. 0 42 0 L ep pä vi rta 1 37 8 1. 5 7 09 7 7. 5 11 4 81 12 .2 31 6 17 33 .6 25 8 33 27 .4 16 5 11 17 .5 0 0. 0 21 7 0. 2 94 1 34 10 0. 0 47 6 M aa ni nk a 49 7 1. 5 3 90 1 11 .5 4 47 7 13 .2 11 9 40 35 .1 8 53 2 25 .1 4 64 5 13 .7 0 0. 0 50 0. 2 34 0 41 10 0. 0 53 4 N ils iä 88 8 1. 6 5 50 7 9. 9 7 63 4 13 .7 19 8 20 35 .6 14 1 58 25 .4 7 56 2 13 .6 18 0. 0 14 8 0. 3 55 7 36 10 0. 0 59 5 P ie la ve si 1 17 8 1. 3 7 21 7 7. 7 10 9 33 11 .7 35 9 77 38 .5 28 7 89 30 .8 9 32 5 10 .0 56 0. 1 79 0. 1 93 5 54 10 0. 0 68 6 R au ta la m pi 66 9 1. 5 3 66 0 8. 1 6 74 2 15 .0 14 3 22 31 .8 13 6 43 30 .3 5 86 3 13 .0 38 0. 1 68 0. 2 45 0 05 10 0. 0 68 7 R au ta va ar a 56 8 0. 6 3 79 2 4. 0 8 23 8 8. 7 43 6 24 46 .0 29 9 66 31 .6 8 50 4 9. 0 11 0. 0 12 3 0. 1 94 8 26 10 0. 0 74 9 S iili nj är vi 54 7 2. 0 3 61 6 13 .3 4 13 5 15 .3 8 76 5 32 .3 6 27 1 23 .1 3 70 8 13 .7 0 0. 0 76 0. 3 27 1 17 10 0. 0 76 2 S on ka jä rv i 1 02 9 0. 9 8 55 9 7. 3 13 0 99 11 .1 52 7 63 44 .9 32 9 21 28 .0 8 93 6 7. 6 48 0. 0 22 3 0. 2 11 7 57 9 10 0. 0 77 8 S uo ne nj ok i 1 10 2 1. 8 4 72 6 7. 8 8 68 2 14 .3 19 1 54 31 .5 17 7 51 29 .2 9 33 4 15 .4 12 0. 0 60 0. 1 60 8 21 10 0. 0 84 4 Te rv o 39 8 1. 3 2 78 7 9. 4 4 84 2 16 .3 9 69 9 32 .7 8 22 7 27 .7 3 66 0 12 .3 26 0. 1 66 0. 2 29 7 05 10 0. 0 85 7 Tu us ni em i 57 3 1. 3 3 52 2 7. 8 6 53 5 14 .6 15 3 88 34 .3 12 3 76 27 .6 6 38 8 14 .2 0 0. 0 12 1 0. 3 44 9 04 10 0. 0 91 5 V ar ka us 50 0 1. 6 2 19 8 7. 0 3 67 5 11 .7 9 90 7 31 .5 9 35 2 29 .8 5 74 2 18 .3 0 0. 0 63 0. 2 31 4 37 10 0. 0 91 6 V ar pa is jä rv i 63 5 1. 7 4 23 2 11 .1 5 21 1 13 .7 14 1 67 37 .1 10 0 19 26 .2 3 82 4 10 .0 11 0. 0 79 0. 2 38 1 78 10 0. 0 92 1 V es an to 33 2 0. 9 2 94 9 8. 3 5 10 4 14 .4 11 6 63 32 .9 11 6 52 32 .9 3 63 1 10 .3 31 0. 1 63 0. 2 35 4 26 10 0. 0 92 5 V ie re m ä 99 9 1. 4 6 07 2 8. 5 8 74 5 12 .2 29 8 00 41 .6 20 0 69 28 .0 5 70 1 8. 0 10 2 0. 1 11 3 0. 2 71 6 00 10 0. 0 To ta l 17 7 01 1. 3 11 1 85 7 8. 4 17 2 81 1 12 .9 49 6 67 9 37 .1 37 9 51 2 28 .4 15 6 98 0 11 .7 66 0 0. 1 2 64 3 0. 2 1 33 8 84 2 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 138 Ta bl e 5a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad va nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % Po hj oi s- Ka rja la 14 6 Il om an ts i 2 26 2 1. 0 8 80 2 4. 0 19 2 10 8. 8 11 3 05 9 51 .5 56 3 83 25 .7 18 9 44 8. 6 0 0. 0 83 8 0. 4 21 9 49 8 10 0. 0 16 7 J oe ns uu 2 83 2 1. 4 13 1 97 6. 7 23 7 35 12 .0 73 5 45 37 .1 60 0 56 30 .3 24 1 95 12 .2 1 0. 0 60 1 0. 3 19 8 16 2 10 0. 0 17 6 J uu ka 1 61 8 1. 3 7 80 9 6. 1 13 0 19 10 .2 51 8 95 40 .8 39 2 48 30 .9 13 0 48 10 .3 0 0. 0 48 6 0. 4 12 7 12 4 10 0. 0 24 8 K es äl ah ti 48 1 1. 5 2 22 6 7. 0 3 85 4 12 .1 10 6 45 33 .3 10 5 79 33 .1 3 98 9 12 .5 0 0. 0 16 8 0. 5 31 9 42 10 0. 0 26 0 K ite e 83 1 1. 2 4 56 5 6. 7 9 26 7 13 .6 23 9 02 35 .1 20 7 84 30 .5 8 57 4 12 .6 0 0. 0 25 5 0. 4 68 1 78 10 0. 0 27 6 K on tio la ht i 1 04 2 1. 6 4 67 5 7. 0 8 11 5 12 .1 24 7 41 37 .0 20 1 94 30 .2 7 81 8 11 .7 0 0. 0 35 9 0. 5 66 9 44 10 0. 0 30 9 O ut ok um pu 57 1 1. 6 2 96 1 8. 3 4 67 0 13 .1 12 5 29 35 .1 10 8 67 30 .5 4 01 1 11 .2 0 0. 0 76 0. 2 35 6 85 10 0. 0 42 2 L ie ks a 3 73 8 1. 3 16 8 94 5. 8 31 6 54 10 .9 13 6 20 0 46 .7 75 0 18 25 .7 26 8 52 9. 2 0 0. 0 1 37 2 0. 5 29 1 72 7 10 0. 0 42 6 L ip er i 96 4 1. 8 5 19 4 9. 8 7 47 4 14 .1 17 3 66 32 .7 15 6 79 29 .5 6 28 3 11 .8 3 0. 0 14 4 0. 3 53 1 07 10 0. 0 54 1 N ur m es 1 39 8 1. 0 7 61 5 5. 5 16 1 48 11 .6 59 1 66 42 .6 37 8 69 27 .2 16 1 21 11 .6 0 0. 0 69 8 0. 5 13 9 01 6 10 0. 0 60 7 P ol vi jä rv i 85 5 1. 4 4 70 7 7. 6 8 03 1 12 .9 23 8 40 38 .3 18 2 67 29 .4 6 33 9 10 .2 0 0. 0 19 3 0. 3 62 2 31 10 0. 0 70 7 R ää kk yl ä 35 8 1. 1 2 59 6 7. 9 4 65 6 14 .1 10 1 52 30 .8 10 5 95 32 .1 4 59 7 13 .9 0 0. 0 60 0. 2 33 0 14 10 0. 0 84 8 To hm aj är vi 79 1 1. 2 4 18 9 6. 4 7 06 2 10 .8 25 5 97 39 .2 19 9 71 30 .6 7 49 9 11 .5 0 0. 0 18 6 0. 3 65 2 95 10 0. 0 91 1 V al tim o 53 6 0. 8 4 04 5 5. 9 8 33 4 12 .2 29 7 53 43 .4 19 7 55 28 .8 6 01 5 8. 8 0 0. 0 14 8 0. 2 68 5 85 10 0. 0 To ta l 18 2 76 1. 3 89 4 74 6. 1 16 5 22 9 11 .3 61 2 39 0 41 .9 41 5 26 4 28 .4 15 4 28 5 10 .6 5 0. 0 5 58 5 0. 4 1 46 0 50 8 10 0. 0 Ka in uu 10 5 H yr yn sa lm i 93 1 0. 8 9 86 4 8. 6 12 2 12 10 .6 55 8 45 48 .6 18 5 89 16 .2 17 1 87 15 .0 0 0. 0 22 7 0. 2 11 4 85 5 10 0. 0 20 5 K aj aa ni 1 80 6 1. 2 9 30 3 6. 4 15 5 95 10 .7 69 2 12 47 .3 36 7 28 25 .1 13 0 39 8. 9 19 6 0. 1 45 8 0. 3 14 6 33 8 10 0. 0 29 0 K uh m o 3 23 2 0. 8 23 3 01 6. 0 45 1 66 11 .6 19 9 42 6 51 .1 61 3 62 15 .7 56 5 61 14 .5 13 0. 0 1 19 3 0. 3 39 0 25 4 10 0. 0 57 8 P al ta m o 88 2 1. 1 7 03 6 9. 0 8 57 9 11 .0 33 5 13 42 .9 17 9 38 23 .0 9 95 6 12 .8 25 0. 0 18 5 0. 2 78 1 13 10 0. 0 62 0 P uo la nk a 1 85 6 1. 0 18 7 81 9. 7 22 8 74 11 .8 87 3 23 45 .0 35 2 99 18 .2 27 5 73 14 .2 68 0. 0 24 1 0. 1 19 4 01 6 10 0. 0 69 7 R is tij är vi 61 8 0. 9 6 08 4 8. 7 7 91 6 11 .4 31 6 56 45 .4 14 8 64 21 .3 8 55 3 12 .3 3 0. 0 79 0. 1 69 7 72 10 0. 0 76 5 S ot ka m o 2 22 6 1. 0 14 9 84 6. 6 24 3 66 10 .8 10 1 02 4 44 .6 59 0 78 26 .1 24 2 70 10 .7 57 0. 0 47 6 0. 2 22 6 47 9 10 0. 0 77 7 S uo m us sa lm i 4 62 5 1. 2 35 6 53 8. 9 47 0 09 11 .8 19 7 45 0 49 .4 48 7 31 12 .2 65 1 45 16 .3 1 0. 0 1 20 2 0. 3 39 9 81 6 10 0. 0 78 5 V aa la 1 73 2 2. 0 6 59 7 7. 5 13 0 99 14 .9 41 8 44 47 .5 16 1 00 18 .3 8 35 3 9. 5 20 9 0. 2 25 2 0. 3 88 1 86 10 0. 0 To ta l 17 9 07 1. 1 13 1 60 4 7. 7 19 6 81 6 11 .5 81 7 29 4 47 .9 30 8 68 8 18 .1 23 0 63 7 13 .5 57 1 0. 0 4 31 2 0. 3 1 70 7 82 9 10 0. 0 Po hj oi s- Po hj an m aa 00 9 A la vi es ka 31 1 2. 0 1 67 5 10 .5 1 46 5 9. 2 7 21 8 45 .3 3 76 6 23 .6 1 47 1 9. 2 6 0. 0 40 0. 3 15 9 52 10 0. 0 06 9 H aa pa jä rv i 54 3 0. 9 3 91 0 6. 7 4 76 1 8. 2 25 4 43 43 .5 17 9 81 30 .8 5 63 0 9. 6 12 2 0. 2 47 0. 1 58 4 36 10 0. 0 07 1 H aa pa ve si 1 43 9 1. 9 6 11 7 8. 0 7 08 9 9. 3 32 3 00 42 .3 23 4 90 30 .8 5 69 9 7. 5 18 8 0. 3 69 0. 1 76 3 92 10 0. 0 07 2 H ai lu ot o 46 3 3. 4 2 37 5 17 .2 2 42 0 17 .5 4 17 1 30 .2 2 57 7 18 .7 1 57 4 11 .4 12 0. 1 21 3 1. 5 13 8 03 10 0. 0 08 4 H au ki pu da s 75 0 2. 5 2 95 1 9. 7 4 04 7 13 .2 11 7 96 38 .6 6 38 9 20 .9 4 32 2 14 .1 36 0. 1 27 6 0. 9 30 5 68 10 0. 0 13 9 Ii 1 40 6 1. 4 7 91 0 7. 6 14 5 60 14 .1 46 2 39 44 .6 21 5 05 20 .8 11 5 27 11 .1 50 0. 1 45 4 0. 4 10 3 65 1 10 0. 0 20 8 K al aj ok i 1 67 6 3. 7 4 91 5 10 .7 4 06 1 8. 9 21 8 67 47 .8 9 49 9 20 .8 3 53 3 7. 7 7 0. 0 22 9 0. 5 45 7 87 10 0. 0 24 4 K em pe le 97 1. 6 46 8 7. 9 1 02 4 17 .3 2 24 7 38 .0 1 28 5 21 .7 73 5 12 .4 18 0. 3 45 0. 8 5 91 9 10 0. 0 25 5 K iim in ki 41 0 1. 8 1 50 2 6. 5 3 05 1 13 .3 9 40 9 41 .0 5 18 6 22 .6 3 26 2 14 .2 30 0. 1 11 4 0. 5 22 9 64 10 0. 0 30 5 K uu sa m o 2 47 0 0. 7 25 1 89 7. 2 36 8 10 10 .5 15 9 58 7 45 .4 48 8 88 13 .9 78 2 93 22 .3 64 0. 0 31 9 0. 1 35 1 62 0 10 0. 0 31 7 K är sä m äk i 73 2 1. 4 2 65 1 5. 1 4 20 9 8. 1 24 9 68 47 .8 15 2 47 29 .2 4 34 6 8. 3 42 0. 1 51 0. 1 52 2 47 10 0. 0 42 5 L im in ka 60 5 1. 6 2 41 2 6. 4 6 80 1 18 .0 17 0 01 45 .0 7 44 9 19 .7 3 41 3 9. 0 78 0. 3 0 0. 0 37 7 59 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 139 Ta bl e 5a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad va nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 43 6 L um ijo ki 34 7 2. 7 1 22 6 9. 6 2 20 8 17 .3 4 96 8 38 .9 2 70 6 21 .2 1 22 5 9. 6 49 0. 2 49 0. 6 12 7 78 10 0. 0 48 3 M er ijä rv i 43 8 2. 6 2 21 9 13 .0 1 56 1 9. 1 7 12 2 41 .6 4 20 5 24 .6 1 53 8 9. 0 6 0. 0 18 0. 1 17 1 07 10 0. 0 49 4 M uh os 1 04 3 2. 1 4 03 4 8. 2 8 20 4 16 .7 21 7 49 44 .4 8 78 0 17 .9 4 93 3 10 .1 10 9 0. 2 15 9 0. 3 49 0 11 10 0. 0 53 5 N iva la 47 0 1. 5 3 50 6 11 .5 2 92 2 9. 6 11 3 76 37 .3 9 00 7 29 .5 3 11 2 10 .2 74 0. 2 65 0. 2 30 5 32 10 0. 0 56 3 O ul ai ne n 88 0 2. 0 5 66 6 12 .9 4 48 0 10 .2 16 8 38 38 .4 12 4 03 28 .3 3 52 6 8. 0 59 0. 1 20 0. 1 43 8 71 10 0. 0 56 4 O ul u 1 16 4 1. 3 4 88 0 5. 4 12 6 83 13 .9 40 6 87 44 .6 20 1 47 22 .1 11 3 14 12 .4 12 3 0. 1 27 6 0. 3 91 2 74 10 0. 0 56 7 O ul un sa lo 12 5 2. 5 54 8 11 .0 87 5 17 .5 1 57 7 31 .5 1 10 7 22 .1 68 7 13 .7 11 0. 2 75 1. 5 5 00 5 10 0. 0 61 5 P ud as jä rv i 3 19 0 0. 9 26 5 15 7. 2 50 6 01 13 .8 18 5 59 0 50 .6 61 6 92 16 .8 38 9 57 10 .6 20 4 0. 1 21 7 0. 1 36 6 96 6 10 0. 0 62 5 P yh äj ok i 98 8 2. 4 4 51 3 10 .9 4 58 9 11 .1 18 7 96 45 .6 8 61 5 20 .9 3 61 0 8. 8 12 0. 0 10 9 0. 3 41 2 33 10 0. 0 62 6 P yh äs al m i 1 06 2 1. 0 6 57 9 6. 2 10 0 76 9. 5 46 5 38 43 .9 32 3 57 30 .5 9 28 1 8. 8 16 1 0. 2 21 0. 0 10 6 07 6 10 0. 0 63 0 P yh än tä 60 6 1. 0 2 84 5 4. 9 7 72 8 13 .2 28 6 85 48 .9 12 7 80 21 .8 5 85 9 10 .0 14 0 0. 2 66 0. 1 58 7 09 10 0. 0 67 8 R aa he 77 6 2. 0 3 76 5 9. 6 5 36 5 13 .7 14 6 89 37 .6 9 24 7 23 .7 4 89 8 12 .5 13 9 0. 4 16 8 0. 4 39 0 46 10 0. 0 69 1 R ei sj är vi 59 3 1. 7 2 70 5 7. 8 2 89 1 8. 4 16 2 23 47 .0 8 88 8 25 .7 3 11 8 9. 0 23 0. 1 82 0. 2 34 5 23 10 0. 0 74 6 S ie vi 1 21 2 2. 2 4 65 5 8. 6 4 69 6 8. 7 26 7 42 49 .4 12 3 96 22 .9 4 23 7 7. 8 20 0. 0 21 1 0. 4 54 1 70 10 0. 0 74 8 S iik aj ok i 1 97 3 2. 8 6 66 6 9. 6 10 1 70 14 .6 28 7 92 41 .4 14 6 83 21 .1 6 66 4 9. 6 25 2 0. 4 31 5 0. 5 69 5 15 10 0. 0 79 1 S iik al at va 2 16 7 1. 4 8 12 9 5. 3 19 5 95 12 .6 73 7 13 47 .6 36 6 37 23 .6 14 0 49 9. 1 61 1 0. 4 62 0. 0 15 4 96 3 10 0. 0 83 2 Ta iva lko sk i 2 16 1 1. 2 16 8 88 9. 5 17 1 73 9. 7 76 8 23 43 .2 30 0 74 16 .9 34 1 78 19 .2 21 5 0. 1 22 8 0. 1 17 7 73 9 10 0. 0 85 9 Ty rn äv ä 65 1 2. 3 2 11 6 7. 5 4 72 1 16 .7 12 5 69 44 .5 5 20 8 18 .5 2 87 1 10 .2 57 0. 2 33 0. 1 28 2 27 10 0. 0 88 9 U ta jä rv i 1 62 1 1. 5 6 61 2 6. 2 16 2 21 15 .2 53 7 07 50 .2 18 1 29 17 .0 10 4 15 9. 7 99 0. 1 16 8 0. 2 10 6 97 0 10 0. 0 92 6 V ih an ti 70 4 2. 0 2 90 7 8. 4 4 24 4 12 .2 14 5 82 41 .9 8 52 7 24 .5 3 61 1 10 .4 11 1 0. 3 94 0. 3 34 7 80 10 0. 0 97 2 Y li- Ii 54 7 1. 1 3 15 3 6. 3 7 13 2 14 .2 25 1 24 50 .0 9 16 0 18 .2 5 09 2 10 .1 36 0. 1 49 0. 1 50 2 93 10 0. 0 97 7 Y liv ie sk a 58 5 1. 4 4 28 3 10 .5 3 97 2 9. 8 16 1 53 39 .8 11 9 14 29 .3 3 56 9 8. 8 77 0. 2 82 0. 2 40 6 35 10 0. 0 To ta l 34 2 08 1. 4 18 6 48 4 7. 7 29 2 40 4 12 .0 1 10 5 29 0 45 .5 50 1 92 2 20 .7 30 0 55 0 12 .4 3 23 9 0. 1 4 42 3 0. 2 2 42 8 52 0 10 0. 0 La pl an d 04 7 E no nt ek iö 59 5 0. 6 3 76 7 4. 1 6 83 1 7. 3 30 7 43 33 .0 17 3 10 18 .6 33 0 17 35 .5 48 7 0. 5 36 2 0. 4 93 1 12 10 0. 0 14 8 In ar i 93 9 0. 1 21 9 83 3. 1 94 7 02 13 .3 18 5 80 4 26 .0 96 1 71 13 .5 28 3 93 3 39 .8 6 97 9 1. 0 23 1 96 3. 3 71 3 70 8 10 0. 0 24 0 K em i 14 8 2. 4 65 1 10 .4 96 2 15 .3 2 28 0 36 .2 1 20 2 19 .1 97 2 15 .5 0 0. 0 78 1. 2 6 29 1 10 0. 0 24 1 K em in m aa 68 0 1. 6 3 01 0 7. 1 5 49 0 12 .9 19 4 74 45 .7 7 61 9 17 .9 5 92 7 13 .9 34 0. 1 34 0 0. 8 42 5 73 10 0. 0 26 1 K itt ilä 3 83 7 0. 8 31 2 46 6. 6 38 2 46 8. 1 20 4 52 7 43 .5 90 0 33 19 .1 94 3 32 20 .1 79 5 0. 2 7 28 1 1. 6 47 0 29 8 10 0. 0 27 3 K ol ar i 1 38 0 0. 8 12 6 29 7. 3 21 7 72 12 .6 76 1 45 44 .1 35 0 17 20 .3 23 4 13 13 .6 98 0. 1 2 37 8 1. 4 17 2 83 1 10 0. 0 32 0 K em ijä rv i 1 27 1 0. 5 16 9 25 6. 8 27 4 24 11 .0 12 8 49 5 51 .6 40 7 26 16 .4 30 4 26 12 .2 12 4 0. 1 3 53 0 1. 4 24 8 92 1 10 0. 0 49 8 M uo ni o 2 07 8 1. 6 7 48 5 5. 9 9 40 8 7. 4 46 8 98 36 .9 18 2 02 14 .3 39 3 76 31 .0 52 9 0. 4 3 01 1 2. 4 12 6 98 7 10 0. 0 58 3 P el ko se nn ie m i 34 9 0. 3 6 98 2 6. 0 15 3 72 13 .1 62 0 65 53 .1 13 7 03 11 .7 17 4 34 14 .9 12 8 0. 1 93 3 0. 8 11 6 96 6 10 0. 0 61 4 P os io 1 71 1 0. 8 16 1 91 8. 0 23 7 26 11 .7 90 7 43 44 .8 34 3 81 17 .0 35 1 63 17 .3 51 0. 0 78 4 0. 4 20 2 74 9 10 0. 0 68 3 R an ua 1 46 4 0. 7 14 3 88 6. 8 33 9 21 16 .1 11 3 85 0 54 .0 29 9 08 14 .2 17 1 76 8. 1 11 1 0. 1 19 6 0. 1 21 1 01 4 10 0. 0 69 8 R ov an ie m i 4 46 8 0. 8 47 0 04 8. 7 71 7 95 13 .3 26 8 18 1 49 .5 76 4 96 14 .1 66 5 49 12 .3 85 6 0. 2 6 50 0 1. 2 54 1 84 8 10 0. 0 73 2 S al la 2 53 8 0. 7 23 1 07 6. 4 40 7 79 11 .3 16 4 72 6 45 .5 34 3 67 9. 5 92 0 96 25 .5 27 6 0. 1 3 93 2 1. 1 36 1 82 1 10 0. 0 74 2 S av uk os ki 3 17 2 0. 7 43 0 96 9. 9 44 8 29 10 .3 18 2 47 0 41 .9 50 9 40 11 .7 10 0 05 2 22 .9 96 5 0. 2 10 5 33 2. 4 43 6 05 8 10 0. 0 75 1 S im o 89 5 1. 1 5 79 6 6. 8 12 2 79 14 .4 42 1 44 49 .3 14 4 83 16 .9 9 41 0 11 .0 57 0. 1 43 4 0. 5 85 4 98 10 0. 0 75 8 S od an ky lä 5 20 1 0. 8 63 5 38 9. 5 74 1 49 11 .1 27 5 37 3 41 .1 78 2 89 11 .7 15 9 16 7 23 .8 1 14 5 0. 2 12 9 08 1. 9 66 9 77 0 10 0. 0 84 5 Te rv ol a 1 39 7 1. 3 9 97 3 9. 3 12 6 12 11 .7 53 3 89 49 .7 15 9 38 14 .8 13 6 97 12 .8 71 0. 1 37 0 0. 3 10 7 44 8 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 140 Ta bl e 5a . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad va nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 85 1 To rn io 65 5 0. 8 5 66 8 7. 2 11 9 82 15 .2 33 6 20 42 .6 15 9 03 20 .1 10 4 21 13 .2 37 0 0. 5 36 2 0. 5 78 9 81 10 0. 0 85 4 P el lo 1 13 7 0. 8 9 21 0 6. 8 18 0 31 13 .3 74 8 51 55 .2 15 1 43 11 .2 13 5 26 10 .0 45 1 0. 3 3 18 6 2. 4 13 5 53 7 10 0. 0 89 0 U ts jo ki 0 0. 0 87 1. 4 11 6 1. 9 5 03 6 80 .0 26 8 4. 3 65 2 10 .4 2 0. 0 13 7 2. 2 6 29 9 10 0. 0 97 6 Y lit or ni o 1 54 3 1. 1 13 2 99 9. 4 21 9 66 15 .5 74 3 12 52 .6 16 9 13 12 .0 12 0 71 8. 5 22 0. 0 1 29 8 0. 9 14 1 42 5 10 0. 0 To ta l 35 4 58 0. 7 35 6 03 5 7. 2 58 6 39 3 11 .8 2 13 5 12 7 43 .0 70 3 01 1 14 .1 1 05 8 81 0 21 .3 13 5 52 0. 3 81 7 49 1. 6 4 97 0 13 5 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 141 Table 5b. The mean volume of growing stock in development classes on forest land by forestry centres. Forestry centre Open regeneration site Young seedling stand Advanced seedling stand Young thinning stand Advanced thinning stand Mature stand Shelterwood stand Seed tree stand Forest land total Municipality m3/ha Åland 035 Brändö 2.8 26.1 40.9 102.6 189.7 197.6 140.3 116.9 128.4 043 Eckerö 7.8 19.2 32.5 119.9 186.9 240.5 139.9 74.0 153.4 060 Finström 5.1 18.9 32.1 122.5 200.6 238.8 184.3 77.4 154.8 062 Föglö 2.9 26.4 30.3 114.1 179.4 221.6 164.1 85.2 151.7 065 Geta 5.6 25.6 29.9 115.8 179.6 225.1 134.3 78.7 149.4 076 Hammarland 6.1 19.6 30.1 121.9 194.6 239.9 152.5 79.3 153.7 170 Jomala 4.5 16.3 31.7 121.2 190.8 243.7 145.5 68.9 149.4 295 Kumlinge 2.9 23.6 39.5 95.9 164.1 186.6 238.0 127.6 131.5 318 Kökar 1.9 0.0 21.2 148.0 111.3 134.7 – 0.0 131.6 417 Lemland 4.8 20.6 31.1 124.5 198.5 237.3 194.2 73.5 153.5 438 Lumparland 2.6 30.0 31.5 116.2 183.3 234.0 172.7 78.4 157.5 478 Mariehamn-Maarianhamina 4.5 24.3 33.2 112.0 181.5 216.7 97.4 68.6 123.6 736 Saltvik 4.5 21.7 32.3 119.6 180.2 229.9 162.2 77.7 158.7 766 Sottunga 0.0 29.8 33.8 106.0 182.8 198.1 144.8 105.7 136.4 771 Sund 5.1 21.9 33.7 119.9 182.8 236.5 143.9 76.5 156.3 941 Vårdö 4.2 25.5 34.0 117.3 170.1 227.4 130.7 72.1 157.0 Total 5.0 21.1 32.8 118.8 185.8 230.6 159.1 81.5 151.6 Rannikko/Etelärannikko 049 Espoo-Esbo 18.4 22.1 34.6 121.6 201.6 241.5 123.6 65.7 158.8 078 Hanko-Hangö 24.1 27.2 38.9 112.8 175.3 245.5 70.1 57.8 164.6 091 Helsinki-Helsingfors 8.7 11.8 28.3 119.2 204.1 260.2 134.9 66.8 148.0 092 Vantaa-Vanda 21.0 14.4 29.5 126.0 219.4 255.1 134.2 70.2 150.6 149 Ingå-Inkoo 11.0 16.4 33.6 112.0 195.3 245.7 100.5 62.3 146.5 235 Kauniainen-Grankulla 17.5 20.2 29.4 121.0 196.0 230.2 120.8 79.9 154.6 257 Kirkkonummi-Kyrkslätt 9.7 18.1 34.2 115.6 190.3 233.3 115.3 59.5 139.7 322 Kemiönsaari 7.5 19.8 28.8 112.0 173.7 221.4 73.8 53.8 145.9 407 Lapinjärvi-Lappträsk 14.5 30.8 40.1 128.3 207.4 259.2 122.4 57.4 168.1 424 Liljendal 13.8 27.0 35.5 127.5 205.7 250.6 107.6 63.4 162.8 434 Loviisa-Lovisa 4.5 25.3 35.4 125.0 204.1 258.0 138.5 78.4 172.5 444 Länsi-Turunmaa 8.1 27.6 30.6 109.0 175.0 211.9 80.9 57.6 137.7 585 Pernå-Pernaja 8.4 22.7 36.2 126.9 205.9 258.4 121.6 63.7 164.3 638 Porvoo-Borgå 11.5 26.7 37.9 125.9 208.1 255.1 121.1 69.4 166.2 701 Ruotsinpyhtää-Strömfors 10.9 22.2 39.3 126.9 206.1 254.0 136.0 47.4 160.2 710 Raasepori 12.6 17.4 33.9 116.8 189.3 239.9 79.2 52.9 162.2 753 Sipoo-Sibbo 17.7 29.9 33.9 128.1 217.9 269.5 126.8 52.1 175.2 755 Siuntio-Sjundeå 12.5 16.7 33.7 121.7 204.1 238.5 99.7 53.4 133.9 Total 11.0 21.1 34.0 119.7 194.6 241.3 104.6 58.2 155.5 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 12.5 8.6 23.6 84.9 171.2 183.1 92.5 16.1 87.6 280 Korsnäs 8.1 13.5 25.6 102.2 159.8 204.3 70.1 43.7 113.7 287 Kristinestad-Kristiinankaupunki 4.6 8.9 24.1 95.4 153.2 195.0 81.0 25.6 109.8 288 Kronoby-Kruunupyy 6.5 4.7 29.2 96.0 156.5 191.7 141.9 4.0 105.4 440 Larsmo-Luoto 15.3 4.5 30.0 99.8 161.0 206.9 137.1 0.0 102.7 475 Malax-Maalahti 7.5 16.9 26.5 101.7 154.4 202.7 84.4 41.8 113.2 499 Korsholm-Mustasaari 7.7 14.3 26.4 113.3 163.0 204.9 85.8 36.1 125.8 545 Närpes-Närpiö 5.9 8.8 25.2 93.6 160.1 185.9 92.6 32.1 108.4 559 Oravais-Oravainen 8.6 14.3 29.0 105.5 155.0 196.5 96.6 28.2 104.9 598 Jakobstad-Pietarsaari 6.3 6.3 31.4 100.2 163.7 166.4 136.4 3.4 98.2 599 Pedersöre-Pedersören kunta 7.9 4.3 29.9 95.4 159.8 192.7 141.6 0.0 105.3 893 Nykarleby-Uusikaarlepyy 11.1 12.8 29.5 101.3 154.1 187.3 93.7 26.0 110.9 905 Vaasa-Vasa 11.4 13.6 28.0 110.4 175.3 227.3 86.3 40.1 135.8 945 Vörå-Maxmo Vöyri-Maksamaa 7.3 16.5 27.6 105.5 158.0 202.5 93.2 30.8 111.9 Total 7.6 10.4 27.5 100.2 158.4 196.6 95.4 32.7 111.5 Lounais-Suomi 019 Aura 12.5 18.2 27.8 113.9 187.7 236.3 90.6 48.4 144.2 050 Eura 39.1 20.7 32.6 107.3 173.7 228.1 100.5 40.3 139.9 051 Eurajoki 0.0 16.1 24.8 113.0 170.9 242.9 102.8 62.0 135.5 079 Harjavalta 0.0 12.6 34.0 123.1 164.7 223.8 101.0 48.7 135.1 099 Honkajoki 1.0 7.0 22.1 78.9 132.2 162.8 126.5 30.1 91.2 102 Huittinen 28.7 9.7 36.4 124.3 190.7 254.8 163.8 48.4 141.2 181 Jämijärvi 1.8 8.4 18.7 94.3 155.1 196.3 117.7 28.9 110.5 202 Kaarina 10.0 15.9 28.3 114.1 182.6 225.3 87.9 55.8 138.7 214 Kankaanpää 2.0 9.3 19.0 88.3 143.7 195.8 90.9 30.3 104.5 230 Karvia 1.2 6.6 23.8 79.6 133.3 174.6 145.1 29.1 94.5 254 Kiikoinen 0.2 11.9 25.6 116.8 188.9 221.5 137.0 33.3 130.5 271 Kokemäki 3.6 12.0 32.3 114.0 171.5 229.9 105.3 45.9 131.0 284 Koski T.l. 11.2 20.7 42.2 116.6 201.6 332.3 111.9 78.3 158.1 304 Kustavi 7.2 22.4 27.8 101.7 161.0 199.9 88.3 55.4 115.8 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 142 Table 5b. Continued Forestry centre Open regeneration site Young seedling stand Advanced seedling stand Young thinning stand Advanced thinning stand Mature stand Shelterwood stand Seed tree stand Forest land total Municipality m3/ha 319 Köyliö 0.0 13.4 27.6 104.3 165.0 237.1 112.5 46.7 139.3 400 Laitila 21.7 22.8 26.9 97.4 166.6 208.7 75.5 30.7 129.0 413 Lavia 1.6 20.5 26.0 109.7 180.2 227.0 136.4 33.3 133.3 423 Lieto 9.5 19.9 28.0 113.7 185.4 231.2 89.2 50.6 150.5 430 Loimaa 8.0 18.9 31.0 119.5 189.1 283.3 115.4 54.5 152.7 442 Luvia 2.2 10.0 32.1 117.9 204.3 254.7 133.4 83.8 162.3 480 Marttila 12.3 16.0 29.7 112.6 186.1 238.3 89.4 50.2 145.4 481 Masku 7.4 12.4 26.4 109.8 178.1 219.9 92.6 51.7 131.4 484 Merikarvia 3.1 10.9 22.1 95.3 166.6 232.0 75.8 29.2 124.5 503 Mynämäki 12.1 18.7 29.2 107.7 174.7 220.6 95.2 51.0 138.6 529 Naantali 6.9 22.4 28.4 106.1 167.7 204.7 88.6 52.3 131.1 531 Nakkila 0.0 6.3 30.4 122.5 196.0 224.9 104.7 61.5 143.7 537 Noormarkku 6.5 11.9 35.3 117.0 181.1 228.0 137.3 65.0 141.8 538 Nousiainen 8.5 16.4 28.1 111.1 181.8 228.2 92.4 49.7 145.5 561 Oripää 4.4 11.0 28.6 109.8 175.0 231.3 108.1 51.1 141.0 577 Paimio 10.8 18.1 27.8 114.8 182.0 226.6 80.2 52.3 148.4 608 Pomarkku 8.5 15.0 34.6 110.5 180.0 233.2 106.8 43.4 148.6 609 Pori 11.6 6.6 34.8 125.2 197.6 226.8 141.4 76.7 149.2 631 Pyhäranta 9.9 19.9 25.0 109.9 187.7 228.1 86.7 44.4 142.7 636 Pöytyä 14.3 19.7 30.3 106.5 180.4 228.3 92.4 46.9 147.0 680 Raisio 12.0 13.4 26.6 112.5 173.8 217.6 95.4 54.7 131.8 684 Rauma 13.3 19.9 27.3 97.1 180.9 220.8 100.3 54.3 136.0 704 Rusko 11.9 17.3 29.6 114.9 181.2 224.1 89.8 50.2 148.3 734 Salo 10.4 19.0 30.4 114.6 187.3 236.9 77.0 49.9 155.4 738 Sauvo 9.1 19.4 28.1 112.7 179.7 219.5 82.9 54.1 141.0 747 Siikainen 3.0 12.7 21.1 94.8 156.1 220.1 70.5 31.0 122.0 761 Somero 32.4 24.5 37.9 109.6 197.3 282.3 111.9 83.0 147.4 783 Säkylä 13.7 19.8 30.6 97.1 160.6 214.7 134.6 30.3 128.8 833 Taivassalo 4.7 18.5 26.5 103.2 167.4 200.2 93.8 53.4 119.5 838 Tarvasjoki 9.4 18.9 29.3 116.4 191.2 238.0 92.5 48.4 150.7 853 Turku-Åbo 12.2 14.6 27.3 114.3 179.0 224.3 97.2 58.1 135.6 886 Ulvila 0.0 11.8 36.2 118.5 181.9 220.8 84.3 43.5 139.0 895 Uusikaupunki 3.0 22.2 28.9 105.5 167.5 206.0 83.2 51.4 124.9 918 Vehmaa 8.3 18.0 26.8 104.3 166.9 205.6 86.1 51.8 117.9 Total 8.7 15.3 29.0 106.6 175.7 227.0 89.7 50.4 135.6 Häme-Uusimaa 015 Artjärvi 18.6 22.1 36.4 125.2 213.1 267.5 129.0 54.1 156.6 016 Asikkala 14.4 18.5 35.6 118.8 210.8 277.1 129.2 52.5 155.8 018 Askola 16.2 25.2 34.6 131.1 211.6 261.9 132.0 44.8 161.3 061 Forssa 41.9 19.2 42.2 104.2 219.4 281.5 162.0 39.9 158.9 081 Hartola 19.3 19.4 31.7 115.7 212.1 266.6 209.4 75.9 155.7 082 Hattula 12.5 15.5 34.9 120.3 202.9 253.9 116.9 53.3 139.8 086 Hausjärvi 27.4 15.0 29.1 131.0 202.7 267.7 155.0 98.7 141.7 098 Hollola 25.8 16.3 34.2 115.8 209.9 279.9 136.3 97.6 149.1 103 Humppila 10.2 30.0 33.1 108.2 216.9 292.1 – 58.1 169.1 106 Hyvinkää 24.2 17.3 29.2 126.4 199.7 252.8 135.6 96.2 144.5 109 Hämeenlinna 19.2 15.4 34.1 122.6 212.3 269.4 120.8 50.0 153.3 111 Heinola 20.0 17.2 30.7 107.5 199.7 273.2 126.4 69.9 151.2 165 Janakkala 14.2 13.7 32.5 127.1 204.5 265.8 106.5 79.1 149.7 169 Jokioinen 17.0 21.8 43.2 89.5 225.2 262.7 3.3 36.0 144.6 186 Järvenpää 22.0 15.4 29.1 134.4 222.7 259.2 129.9 71.2 135.2 223 Karjalohja 14.9 14.7 33.5 112.6 210.0 255.0 114.5 53.5 132.0 224 Karkkila 15.8 20.4 36.1 126.0 213.5 261.6 121.9 38.7 157.8 245 Kerava 19.8 16.7 27.0 130.3 220.8 252.2 122.6 69.4 142.2 283 Hämeenkoski 32.8 14.5 32.3 123.4 219.6 280.9 119.5 135.2 147.1 316 Kärkölä 33.9 13.3 33.0 115.8 214.0 281.8 151.3 131.9 138.9 398 Lahti 10.1 20.0 35.2 110.0 201.9 266.7 79.2 48.8 136.8 433 Loppi 12.8 15.2 32.8 118.0 202.7 254.9 104.3 58.8 144.4 444 Lohja 17.4 15.7 32.7 118.2 210.3 246.6 106.6 58.6 128.4 504 Myrskylä-Mörskom 17.5 28.4 36.8 128.9 212.2 257.5 137.9 61.3 161.5 505 Mäntsälä 35.4 17.1 30.5 125.9 212.6 280.5 166.1 111.8 153.3 532 Nastola 14.3 16.6 36.6 111.7 208.4 267.3 172.4 80.5 147.6 540 Nummi-Pusula 14.6 17.0 34.1 119.1 210.1 248.8 117.7 64.5 139.8 543 Nurmijärvi 18.9 19.6 29.7 126.6 211.9 249.1 131.4 47.8 131.0 560 Orimattila 26.7 18.6 31.8 117.6 199.1 268.0 115.0 75.9 136.2 576 Padasjoki 16.0 18.5 41.1 121.5 206.7 268.8 94.8 52.9 159.9 611 Pornainen 19.1 28.7 36.7 129.3 211.4 254.3 125.2 56.7 158.6 616 Pukkila 18.9 23.8 35.8 129.7 215.6 261.0 123.9 29.3 153.3 694 Riihimäki 19.9 16.1 27.2 125.3 203.7 265.2 163.1 71.1 136.3 781 Sysmä 11.8 19.1 32.3 119.3 210.7 276.9 147.6 91.8 161.8 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 143 Table 5b. Continued Forestry centre Open regeneration site Young seedling stand Advanced seedling stand Young thinning stand Advanced thinning stand Mature stand Shelterwood stand Seed tree stand Forest land total Municipality m3/ha 834 Tammela 16.2 27.1 37.9 113.1 211.0 269.3 150.9 34.9 159.9 858 Tuusula 19.1 19.1 29.6 130.3 228.0 270.7 138.7 49.9 147.3 927 Vihti 19.4 20.8 36.2 125.6 208.3 246.2 123.2 61.3 150.9 981 Ypäjä 18.2 28.0 40.8 96.2 219.5 282.5 – 45.2 162.4 Total 19.4 17.8 33.8 119.5 209.3 267.4 129.8 59.0 150.6 Kaakkois-Suomi 075 Hamina 9.2 8.6 25.5 116.3 184.5 257.3 143.5 29.8 131.5 142 Iitti 17.1 18.4 33.7 113.4 207.1 270.9 157.8 67.3 157.4 153 Imatra 22.4 8.5 26.7 122.6 210.7 278.8 101.6 42.1 149.7 285 Kotka 9.8 11.8 24.9 106.3 184.4 240.2 116.7 36.5 118.8 286 Kouvola 14.5 13.3 28.4 111.3 191.4 270.2 145.7 88.6 149.7 405 Lappeenranta 12.4 7.5 25.6 112.0 193.8 271.3 135.6 38.8 135.1 416 Lemi 4.1 7.2 23.5 108.5 191.5 276.8 101.2 51.9 132.1 441 Luumäki 10.2 7.2 25.0 111.5 184.3 269.2 143.4 39.2 136.3 489 Miehikkälä 7.7 7.5 25.9 114.6 178.8 273.9 262.9 29.4 137.7 580 Parikkala 12.7 8.8 29.2 112.7 205.3 269.9 95.5 41.8 139.0 624 Pyhtää-Pyttis 14.3 19.9 41.8 123.3 203.1 257.4 151.2 95.1 162.3 689 Rautjärvi 32.7 8.4 31.6 118.6 204.7 278.7 111.3 34.3 147.4 700 Ruokolahti 13.8 9.4 28.6 110.0 187.9 259.6 87.1 41.4 142.2 739 Savitaipale 2.4 8.4 23.2 108.4 181.1 253.4 96.2 45.1 129.3 775 Suomenniemi 9.3 12.0 27.7 111.9 178.1 252.6 125.8 113.6 139.5 831 Taipalsaari 1.6 9.2 24.5 117.5 177.5 238.5 79.4 36.8 133.5 935 Virolahti 6.5 7.2 26.5 113.9 176.9 281.0 262.0 22.3 132.6 978 Ylämaa 9.0 8.6 25.6 116.7 182.3 268.4 230.6 31.1 142.7 Total 11.7 10.0 27.4 112.7 190.0 266.0 164.2 50.1 141.2 Pirkanmaa 020 Akaa 14.0 18.9 35.5 116.7 202.9 270.7 161.6 35.9 136.4 108 Hämeenkyrö 8.4 17.4 34.1 111.9 198.0 251.1 105.9 52.4 139.0 143 Ikaalinen 4.4 13.8 29.4 102.5 174.6 233.5 92.1 49.2 126.7 177 Juupajoki 8.0 14.9 31.6 108.8 195.7 255.3 91.3 47.2 143.1 211 Kangasala 7.5 17.7 29.2 105.9 195.5 240.7 136.7 66.8 142.1 250 Kihniö 1.8 8.1 25.2 93.7 150.2 203.0 152.6 31.0 116.6 289 Kuhmalahti 11.4 16.0 36.7 119.3 198.8 258.7 94.2 44.2 137.5 310 Kylmäkoski 40.9 20.4 45.5 102.2 212.9 262.0 162.0 40.6 148.3 418 Lempäälä 3.9 18.9 25.9 98.3 215.4 240.0 160.7 81.5 147.2 508 Mänttä-Vilppula 7.9 12.6 32.3 114.1 199.0 264.9 98.5 47.2 154.3 536 Nokia 2.9 24.7 32.2 105.8 193.2 248.4 127.0 55.8 142.5 562 Orivesi 8.3 17.4 33.1 111.5 200.9 263.4 94.5 51.9 149.0 581 Parkano 2.3 8.8 20.7 92.9 146.5 193.6 141.7 30.9 111.3 604 Pirkkala 2.7 14.7 26.3 104.3 217.6 253.2 161.4 79.6 143.3 619 Punkalaidun 23.6 25.1 33.8 114.8 206.5 293.9 163.4 75.5 160.0 635 Pälkäne 18.2 17.4 34.2 132.7 208.3 271.7 117.7 57.4 161.1 702 Ruovesi 5.3 13.9 30.3 111.2 193.1 252.8 91.7 46.0 151.7 790 Sastamala 30.0 22.5 34.3 118.0 189.2 248.4 103.2 44.4 138.6 837 Tampere 9.7 16.8 33.9 114.6 201.1 260.4 104.9 55.0 154.0 887 Urjala 31.3 25.7 41.3 107.0 217.4 277.3 162.0 57.1 158.2 908 Valkeakoski 6.7 21.8 31.4 118.3 205.6 266.7 154.5 40.5 150.5 922 Vesilahti 10.4 22.8 36.4 107.7 196.9 270.4 150.4 52.9 148.4 936 Virrat 1.2 7.3 21.9 96.3 162.7 220.0 140.6 28.4 124.5 980 Ylöjärvi 5.9 14.4 30.8 106.7 182.7 241.9 100.1 46.3 142.4 Total 9.7 15.9 31.1 107.8 187.4 245.9 119.5 48.4 140.3 Etelä-Savo 046 Enonkoski 19.6 10.6 29.0 114.0 201.6 272.6 94.9 40.4 142.9 090 Heinävesi 16.7 11.9 25.6 109.6 194.2 272.4 91.0 32.3 137.4 097 Hirvensalmi 20.7 20.1 35.6 108.8 202.3 281.1 146.5 75.0 154.0 171 Joroinen 7.6 11.4 25.8 102.3 189.6 274.1 – 57.8 135.0 178 Juva 22.7 12.7 27.7 107.4 188.2 273.6 131.9 84.7 141.9 213 Kangasniemi 52.8 11.1 28.2 98.9 187.7 269.7 98.2 32.8 130.7 246 Kerimäki 14.5 9.3 30.4 111.0 200.8 273.5 94.4 49.5 140.8 491 Mikkeli 22.5 13.4 29.1 104.3 193.2 275.9 133.2 77.8 139.7 507 Mäntyharju 14.3 13.6 29.4 109.2 185.8 265.5 128.4 98.7 145.1 588 Pertunmaa 27.6 18.8 32.4 110.2 204.5 281.6 163.1 68.1 147.5 593 Pieksämäki 14.4 10.1 24.1 104.9 177.8 254.9 65.3 20.3 128.3 618 Punkaharju 5.3 9.2 31.9 113.1 200.1 283.9 94.1 46.7 150.3 623 Puumala 1.1 11.6 23.2 121.0 177.9 238.4 79.8 37.9 136.3 681 Rantasalmi 17.7 9.8 27.6 110.7 197.6 269.4 92.9 54.1 133.0 696 Ristiina 17.6 14.2 28.7 109.4 193.1 267.3 130.9 101.7 149.1 740 Savonlinna 12.2 10.8 30.3 112.4 198.5 267.7 87.8 46.1 143.9 768 Sulkava 3.6 10.1 26.6 110.0 191.8 259.6 86.6 45.9 134.2 Total 17.6 12.0 28.0 108.3 191.1 268.1 123.8 56.4 139.1 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 144 Table 5b. Continued Forestry centre Open regeneration site Young seedling stand Advanced seedling stand Young thinning stand Advanced thinning stand Mature stand Shelterwood stand Seed tree stand Forest land total Municipality m3/ha Etelä-Pohjanmaa 005 Alajärvi 3.7 5.5 22.7 82.1 144.0 196.7 99.3 30.6 103.1 010 Alavus 1.0 5.5 25.0 80.2 150.0 189.9 151.1 24.2 102.0 052 Evijärvi 5.4 5.2 24.4 87.7 151.8 190.8 156.9 13.6 94.7 074 Halsua 5.9 11.1 24.2 72.7 127.6 176.1 155.0 11.1 90.8 095 Himanka 6.1 5.3 24.0 88.1 145.2 190.5 155.0 18.5 99.8 145 Ilmajoki 0.7 5.7 22.6 91.0 149.6 181.6 90.5 26.1 101.2 151 Isojoki 1.9 6.8 24.2 84.3 137.5 184.3 90.6 29.0 102.8 152 Isokyrö 5.0 12.1 25.6 92.4 141.8 189.0 107.2 38.4 97.1 164 Jalasjärvi 1.0 5.9 22.8 84.7 144.1 193.2 136.4 27.2 97.1 217 Kannus 9.7 7.7 24.6 82.0 135.0 173.4 155.0 16.5 91.5 218 Karijoki 4.4 7.9 28.0 90.8 145.0 185.5 97.5 20.8 105.7 232 Kauhajoki 0.9 5.4 21.4 78.5 125.4 178.4 94.9 23.8 89.0 233 Kauhava 3.8 5.3 23.2 91.3 143.7 181.8 154.1 13.7 96.7 236 Kaustinen 4.1 5.5 23.3 83.9 142.4 183.0 155.3 17.3 94.9 272 Kokkola-Karleby 6.9 6.4 25.5 87.0 146.4 184.9 144.0 14.8 96.9 300 Kuortane 0.7 5.0 20.2 80.6 148.3 214.3 137.0 23.8 106.5 301 Kurikka 2.3 6.5 23.5 89.5 145.1 180.9 95.9 31.2 97.9 399 Laihia 4.4 12.4 26.4 96.6 151.2 197.0 108.1 44.7 109.3 403 Lappajärvi 2.0 6.2 23.8 90.2 145.6 180.8 155.1 13.8 103.2 408 Lapua 4.7 5.9 25.9 90.1 150.3 191.3 157.3 14.9 105.2 421 Lestijärvi 7.3 6.9 23.3 83.3 135.8 168.8 40.7 26.0 90.4 584 Perho 9.8 6.1 21.6 81.8 137.7 175.5 43.6 25.7 95.9 743 Seinäjoki 1.1 7.1 24.6 85.5 144.9 183.2 104.2 28.3 94.2 759 Soini 2.8 5.3 24.8 86.2 146.3 197.4 93.1 34.7 106.3 846 Teuva 3.8 7.8 26.5 89.3 144.1 175.5 98.3 33.1 99.1 849 Toholampi 9.5 9.1 23.1 78.5 134.6 180.9 155.0 14.3 91.3 863 Töysä 1.0 5.5 17.5 78.3 149.6 210.0 137.0 23.4 111.1 924 Veteli 9.4 5.8 23.0 82.4 145.4 186.2 155.0 12.3 97.9 934 Vimpeli 18.7 6.3 22.9 82.6 147.9 189.0 155.0 14.5 101.0 942 Vähäkyrö 4.2 14.6 24.3 101.4 145.6 217.1 93.9 43.0 99.8 989 Ähtäri 2.6 5.1 22.9 93.3 152.0 215.1 131.4 37.8 114.7 Total 3.8 6.6 23.7 85.5 143.7 187.4 104.9 27.6 99.1 Keski-Suomi 077 Hankasalmi 25.4 9.5 26.5 97.3 183.8 272.4 84.1 32.9 125.2 172 Joutsa 19.4 21.7 30.0 107.6 204.3 262.0 152.4 76.2 146.8 179 Jyväskylä 9.6 13.9 28.2 100.0 193.6 262.0 111.6 44.5 131.6 182 Jämsä 13.9 11.0 25.4 96.3 174.8 254.9 87.4 19.5 123.7 216 Kannonkoski 9.2 6.4 25.2 98.5 155.5 221.1 84.6 29.6 121.9 226 Karstula 4.5 5.9 26.9 90.5 151.4 208.3 70.6 29.0 114.1 249 Keuruu 4.0 8.9 26.2 100.0 169.2 234.5 102.1 43.4 131.2 256 Kinnula 9.5 6.4 24.2 88.7 143.8 190.7 62.4 24.8 103.7 265 Kivijärvi 6.8 6.3 24.5 93.0 151.7 212.2 63.8 27.3 113.6 275 Konnevesi 8.6 6.7 26.9 102.3 190.7 274.7 – 38.2 131.2 291 Kuhmoinen 8.7 14.0 26.9 99.5 191.2 267.1 129.3 47.0 136.9 312 Kyyjärvi 4.2 5.7 26.7 83.4 146.0 187.4 70.6 31.1 104.5 410 Laukaa 14.1 11.1 26.0 98.7 176.6 260.6 85.2 32.6 119.6 435 Luhanka 11.5 16.1 36.3 107.2 216.3 258.4 151.8 43.9 150.2 495 Multia 4.2 6.4 25.7 89.1 151.7 217.8 76.2 31.6 118.5 500 Muurame 7.3 13.4 30.4 102.9 203.6 277.8 96.8 45.7 138.7 592 Petäjävesi 13.0 9.1 25.7 94.0 168.0 241.1 81.7 26.6 117.1 601 Pihtipudas 9.2 6.2 28.1 95.5 137.3 194.0 61.3 22.7 104.2 729 Saarijärvi 5.2 5.9 26.4 95.6 158.8 227.2 80.7 30.5 121.7 850 Toivakka 14.5 15.6 26.1 104.2 191.8 241.9 116.9 39.4 125.4 892 Uurainen 11.7 9.5 25.5 91.7 164.0 243.8 82.7 37.1 115.4 931 Viitasaari 14.2 7.3 21.1 94.1 166.7 233.6 36.0 20.7 113.9 992 Äänekoski 12.6 7.2 25.0 99.1 180.4 261.4 48.0 24.6 128.8 Total 10.1 10.0 26.3 96.2 170.1 240.9 92.5 36.3 122.9 Pohjois-Savo 140 Iisalmi 4.0 9.9 22.0 100.2 174.9 244.9 – 10.3 107.7 174 Juankoski 8.4 10.0 22.5 97.4 175.9 261.1 38.6 11.7 118.5 204 Kaavi 10.5 6.9 22.1 96.8 164.9 248.2 59.5 8.1 119.9 227 Karttula 12.0 10.7 25.3 104.4 186.7 274.9 66.9 39.4 129.5 239 Keitele 12.8 10.2 29.7 92.4 174.2 262.4 36.7 18.3 118.0 263 Kiuruvesi 7.1 7.9 24.4 89.5 150.2 214.8 32.0 14.7 100.2 297 Kuopio 3.4 10.5 23.5 110.4 203.6 274.7 – 13.7 140.1 402 Lapinlahti 5.4 9.6 22.0 102.4 175.9 255.4 – 8.7 115.3 420 Leppävirta 3.3 9.9 22.8 115.2 196.0 277.4 – 13.9 144.8 476 Maaninka 4.3 9.1 21.9 103.4 178.8 270.0 – 15.4 121.9 534 Nilsiä 7.8 11.6 21.5 98.5 179.3 262.2 32.3 12.6 120.4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 145 Table 5b. Continued Forestry centre Open regeneration site Young seedling stand Advanced seedling stand Young thinning stand Advanced thinning stand Mature stand Shelterwood stand Seed tree stand Forest land total Municipality m3/ha 595 Pielavesi 7.6 10.4 23.7 98.8 170.8 250.3 32.0 15.1 119.2 686 Rautalampi 12.1 9.6 24.1 105.8 181.0 264.4 69.6 18.3 127.6 687 Rautavaara 6.0 7.8 23.4 87.5 146.3 216.4 42.7 9.4 108.3 749 Siilinjärvi 4.2 9.3 21.2 102.8 187.3 274.3 – 11.0 118.6 762 Sonkajärvi 5.6 7.8 22.9 88.1 147.7 213.6 40.3 7.6 100.3 778 Suonenjoki 15.0 8.8 24.0 105.3 181.2 264.9 65.9 25.1 131.1 844 Tervo 12.1 9.2 25.3 101.3 184.5 270.1 68.8 22.8 122.7 857 Tuusniemi 4.1 10.2 23.2 108.1 195.5 274.1 – 15.1 134.2 915 Varkaus 3.9 9.4 25.9 114.0 196.8 273.5 83.4 23.6 148.2 916 Varpaisjärvi 7.7 11.3 21.4 94.3 167.8 254.4 32.5 9.9 108.8 921 Vesanto 12.3 9.6 25.7 97.1 179.2 270.0 68.5 18.7 123.3 925 Vieremä 7.1 8.6 23.4 89.8 152.0 207.0 34.3 12.2 100.2 Total 7.4 9.4 23.5 98.3 172.4 255.5 40.8 13.7 119.2 Pohjois-Karjala 146 Ilomantsi 3.9 10.4 21.0 90.5 150.3 244.0 – 14.1 108.6 167 Joensuu 9.7 7.5 21.2 95.1 168.9 261.5 86.0 18.5 121.7 176 Juuka 6.1 8.0 21.9 93.1 156.2 236.2 – 19.9 113.4 248 Kesälahti 5.8 9.8 24.3 99.4 184.2 246.6 – 43.8 128.9 260 Kitee 12.6 8.2 23.1 96.9 184.2 250.8 – 39.5 125.6 276 Kontiolahti 6.0 8.9 22.5 94.5 171.7 241.9 86.0 19.2 118.5 309 Outokumpu 9.7 11.4 21.4 100.6 187.9 237.9 86.0 17.5 123.2 422 Lieksa 5.2 13.1 20.1 89.5 152.8 230.7 – 16.7 105.4 426 Liperi 8.3 10.7 20.9 102.5 197.3 256.1 86.0 22.0 126.3 541 Nurmes 8.4 9.3 26.6 89.9 140.0 218.6 67.0 4.1 105.4 607 Polvijärvi 9.1 8.5 21.7 96.0 174.7 236.6 – 19.9 115.8 707 Rääkkylä 12.4 10.6 26.4 110.3 206.6 244.7 – 42.8 139.1 848 Tohmajärvi 12.7 7.0 23.6 96.0 170.1 257.0 – 16.5 122.4 911 Valtimo 10.5 7.9 21.3 89.1 142.6 224.9 56.0 18.2 102.6 Total 7.6 9.7 22.1 92.8 162.5 241.4 85.6 17.8 113.9 Kainuu 105 Hyrynsalmi 5.6 6.5 22.0 76.5 127.4 194.5 – 25.4 89.9 205 Kajaani 5.2 6.8 20.0 83.2 134.5 172.4 44.3 13.1 91.2 290 Kuhmo 8.3 10.3 19.6 72.7 132.5 206.2 32.0 17.8 90.9 578 Paltamo 6.6 8.6 24.4 87.3 140.1 205.7 55.7 21.0 99.5 620 Puolanka 5.5 6.1 23.1 76.6 119.9 164.4 100.1 17.2 83.1 697 Ristijärvi 14.9 6.1 30.2 80.2 125.7 191.5 32.0 20.3 90.8 765 Sotkamo 13.1 6.9 22.7 82.2 140.4 206.1 59.6 17.0 98.5 777 Suomussalmi 5.2 6.3 21.7 67.7 112.1 172.1 166.9 32.5 78.4 785 Vaala 1.9 7.6 28.6 78.8 122.9 140.5 48.3 26.7 78.2 Total 6.9 7.3 22.3 75.4 128.9 185.8 54.3 22.4 87.8 Pohjois-Pohjanmaa 009 Alavieska 6.5 4.0 26.8 83.2 134.9 160.2 36.4 20.8 87.3 069 Haapajärvi 9.7 5.8 30.0 88.8 140.6 176.4 70.0 26.1 102.0 071 Haapavesi 4.3 5.2 24.8 85.4 131.4 170.8 88.8 24.4 92.3 072 Hailuoto 1.9 8.1 25.7 76.5 119.1 143.8 31.2 14.1 68.0 084 Haukipudas 8.7 10.0 28.9 82.9 131.8 156.5 58.5 21.0 86.9 139 Ii 10.9 11.1 29.5 76.1 126.0 143.8 66.2 19.8 81.3 208 Kalajoki 3.4 4.1 24.1 87.1 134.3 151.1 33.0 19.0 83.9 244 Kempele 11.1 7.7 28.0 84.6 135.0 159.7 54.1 22.1 87.2 255 Kiiminki 4.3 9.1 31.1 86.7 140.2 155.9 50.5 19.9 94.3 305 Kuusamo 3.8 9.0 18.3 66.9 106.9 128.2 126.9 40.2 76.4 317 Kärsämäki 6.6 6.1 25.3 87.7 141.8 174.4 34.0 26.4 100.3 425 Liminka 2.3 7.5 29.8 77.7 126.9 140.4 40.3 0.0 78.7 436 Lumijoki 1.2 6.2 28.5 78.6 131.3 151.1 41.1 14.5 78.6 483 Merijärvi 2.3 3.4 29.3 80.4 137.3 163.8 57.2 16.9 85.2 494 Muhos 2.3 7.1 28.1 76.5 123.3 144.8 49.4 23.7 76.1 535 Nivala 8.7 5.1 25.6 92.0 137.3 182.3 88.2 23.6 96.8 563 Oulainen 2.9 3.8 26.9 79.7 128.3 164.4 87.2 16.0 83.5 564 Oulu 4.3 9.4 30.0 85.0 130.7 154.7 46.6 24.3 90.8 567 Oulunsalo 14.4 6.8 27.1 82.7 134.6 146.6 52.7 21.4 82.2 615 Pudasjärvi 2.7 5.8 23.9 72.5 110.9 139.7 89.0 27.1 74.0 625 Pyhäjoki 3.6 3.9 27.0 81.7 138.1 153.5 33.0 20.2 83.1 626 Pyhäsalmi 6.1 5.8 31.0 86.5 139.1 173.6 65.7 25.7 99.0 630 Pyhäntä 2.3 8.0 31.8 80.9 129.0 152.9 48.1 24.9 87.6 678 Raahe 3.8 5.9 30.4 82.5 133.1 153.0 50.0 21.1 86.8 691 Reisjärvi 9.6 4.9 26.1 90.0 142.5 181.3 33.0 24.5 98.2 746 Sievi 9.1 4.9 21.0 85.5 136.2 170.6 33.0 23.9 89.2 748 Siikajoki 2.2 6.2 29.9 77.1 129.0 141.8 45.2 18.3 78.1 791 Siikalatva 2.8 7.4 30.1 83.5 129.5 146.8 54.0 61.5 88.1 832 Taivalkoski 4.9 5.8 20.7 71.5 108.8 144.6 100.3 26.4 79.9 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 146 Table 5b. Continued Forestry centre Open regeneration site Young seedling stand Advanced seedling stand Young thinning stand Advanced thinning stand Mature stand Shelterwood stand Seed tree stand Forest land total Municipality m3/ha 859 Tyrnävä 2.2 7.4 30.2 77.3 127.4 138.3 40.1 28.2 77.8 889 Utajärvi 1.8 8.6 28.8 78.8 122.3 147.0 49.7 45.7 79.6 926 Vihanti 2.6 6.4 29.7 77.1 131.6 158.2 58.1 19.0 85.4 972 Yli-Ii 3.9 13.8 29.3 76.8 125.8 146.0 61.4 39.8 81.2 977 Ylivieska 8.0 4.7 25.3 84.9 131.5 169.7 106.8 23.0 90.5 Total 4.4 6.8 26.1 77.7 125.7 145.4 63.8 24.7 83.2 Lapland 047 Enontekiö 8.2 17.9 11.3 39.1 69.6 75.9 69.8 27.5 54.9 148 Inari 4.4 15.8 28.2 54.3 61.7 91.5 77.5 20.6 64.5 240 Kemi 5.0 6.2 27.2 81.7 148.1 143.2 33.0 81.4 85.9 241 Keminmaa 5.8 13.8 31.5 85.0 137.2 141.5 2.2 59.6 88.7 261 Kittilä 0.4 16.9 19.3 54.7 82.3 86.3 84.7 29.7 60.2 273 Kolari 0.7 20.3 22.9 62.2 106.5 111.5 11.4 21.6 68.8 320 Kemijärvi 10.0 12.6 22.6 66.2 95.6 104.8 66.1 19.2 66.3 498 Muonio 0.1 28.6 14.2 54.0 84.8 91.0 95.3 24.3 64.0 583 Pelkosenniemi 5.0 11.1 22.5 61.0 95.0 99.0 50.4 17.1 62.1 614 Posio 3.8 7.3 18.1 63.7 93.7 112.3 106.1 20.5 66.7 683 Ranua 4.9 6.6 26.0 65.5 107.4 116.7 49.2 24.6 64.8 698 Rovaniemi 8.3 12.8 24.2 65.9 104.7 114.1 65.5 21.0 66.2 732 Salla 12.6 10.3 17.5 58.1 91.8 93.0 47.2 27.4 61.9 742 Savukoski 6.0 11.6 17.2 57.3 85.9 85.0 50.7 23.5 57.1 751 Simo 8.8 14.0 31.9 72.1 119.1 130.8 46.2 45.3 76.0 758 Sodankylä 9.1 13.5 18.1 54.5 88.5 85.3 75.8 20.5 56.9 845 Tervola 7.2 15.3 28.0 80.2 121.4 132.3 64.7 22.2 79.7 851 Tornio 3.3 16.5 22.9 85.7 130.4 138.7 27.4 55.9 86.1 854 Pello 0.4 12.6 21.5 68.2 118.8 122.8 64.0 40.4 68.1 890 Utsjoki – 19.5 14.4 54.7 43.9 72.4 72.2 13.7 53.9 976 Ylitornio 8.3 15.8 27.4 63.9 117.6 101.6 51.4 24.6 62.4 Total 5.9 14.7 24.3 57.1 80.3 93.4 71.1 22.7 63.5 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 147 Ta bl e 5c . D ev e lo pm en t c la ss d ist rib u tio n on fo re st la nd a va ila bl e fo r w o o d su pp ly by fo re st ry c en tre s. 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18 3 10 0. 0 17 0 J om al a 14 1 1. 9 25 2 3. 4 1 05 4 14 .1 2 26 8 30 .3 1 71 8 22 .9 1 91 8 25 .6 24 0. 3 12 0 1. 6 7 49 5 10 0. 0 29 5 K um lin ge 11 0. 5 13 0. 6 43 1 19 .4 45 5 20 .5 48 5 21 .8 76 5 34 .4 9 0. 4 54 2. 4 2 22 4 10 0. 0 31 8 K ök ar 0 0. 0 0 0. 0 0 0. 0 24 8. 1 19 5 65 .9 78 26 .4 0 0. 0 0 0. 0 29 6 10 0. 0 41 7 L em la nd 74 1. 1 17 6 2. 7 81 4 12 .6 2 15 0 33 .2 1 47 3 22 .7 1 65 8 25 .6 31 0. 5 10 2 1. 6 6 47 9 10 0. 0 43 8 L um pa rla nd 13 0. 7 36 2. 0 18 4 10 .4 51 0 28 .7 46 1 26 .0 53 2 30 .0 10 0. 6 28 1. 6 1 77 3 10 0. 0 47 8 M ar ie ha m n- M aa ria nh am in a 14 3. 5 13 3. 4 80 20 .3 11 8 30 .1 78 19 .8 81 20 .7 1 0. 3 8 2. 0 39 3 10 0. 0 73 6 S al tv ik 43 0. 7 14 9 2. 5 55 6 9. 4 1 57 8 26 .8 1 50 7 25 .6 1 89 2 32 .1 37 0. 6 13 0 2. 2 5 89 1 10 0. 0 76 6 S ot tu ng a 2 0. 3 8 1. 3 10 8 17 .9 15 4 25 .5 14 9 24 .6 16 6 27 .4 5 0. 9 13 2. 2 60 3 10 0. 0 77 1 S un d 34 0. 7 12 4 2. 5 53 3 10 .6 1 47 8 29 .5 1 27 0 25 .3 1 44 5 28 .8 24 0. 5 10 8 2. 2 5 01 6 10 0. 0 94 1 V år dö 12 0. 3 75 2. 2 31 4 9. 1 89 4 25 .8 90 9 26 .3 1 15 4 33 .3 23 0. 7 83 2. 4 3 46 2 10 0. 0 To ta l 66 0 1. 0 1 65 5 2. 6 8 08 5 12 .5 18 9 06 29 .2 15 7 77 24 .3 18 1 15 27 .9 35 2 0. 5 1 28 7 2. 0 64 8 38 10 0. 0 R an ni kk o/ Et el är an ni kk o 04 9 E sp oo -E sb o 14 0 1. 0 79 7 5. 6 1 71 0 11 .9 3 67 9 25 .6 4 68 2 32 .6 3 08 4 21 .5 19 1 1. 3 93 0. 7 14 3 76 10 0. 0 07 8 H an ko -H an gö 35 0. 6 83 1. 4 40 5 6. 9 1 37 1 23 .4 2 46 9 42 .1 1 44 7 24 .7 24 0. 4 28 0. 5 5 86 0 10 0. 0 09 1 H el si nk i-H el si ng fo rs 14 3 2. 1 88 6 12 .6 88 2 12 .6 1 31 0 18 .7 2 01 8 28 .8 1 59 8 22 .8 99 1. 4 73 1. 0 7 01 0 10 0. 0 09 2 V an ta a- Va nd a 14 3 1. 5 97 3 10 .2 1 48 1 15 .5 2 26 1 23 .7 2 62 7 27 .5 1 83 6 19 .3 16 4 1. 7 53 0. 6 9 53 8 10 0. 0 14 9 In gå -In ko o 28 0 1. 5 1 34 4 7. 4 2 38 8 13 .1 4 36 1 23 .9 5 80 0 31 .8 3 64 2 20 .0 22 2 1. 2 18 8 1. 0 18 2 25 10 0. 0 23 5 K au ni ai ne n- G ra nk ul la 2 0. 9 10 5. 3 21 11 .7 45 24 .5 62 33 .6 40 21 .6 3 1. 4 2 1. 0 18 4 10 0. 0 25 7 K irk ko nu m m i-K yr ks lä tt 30 7 1. 7 1 62 7 9. 0 2 64 3 14 .6 4 49 6 24 .9 5 34 8 29 .6 3 29 7 18 .2 16 5 0. 9 20 5 1. 1 18 0 89 10 0. 0 32 2 K em iö ns aa ri 57 5 1. 7 1 71 5 5. 2 3 08 8 9. 3 6 79 6 20 .5 12 7 25 38 .3 7 70 1 23 .2 21 1 0. 6 37 9 1. 1 33 1 91 10 0. 0 40 7 L ap in jä rv i-L ap pt rä sk 14 7 0. 8 72 0 4. 0 2 02 8 11 .1 4 94 6 27 .1 6 75 0 37 .0 3 51 2 19 .3 73 0. 4 50 0. 3 18 2 26 10 0. 0 42 4 L ilje nd al 56 0. 9 32 2 5. 4 66 5 11 .1 1 52 4 25 .5 2 22 7 37 .3 1 12 9 18 .9 30 0. 5 24 0. 4 5 97 8 10 0. 0 43 4 L ov iis a- Lo vi sa 28 1. 0 10 2 3. 7 22 6 8. 1 72 1 25 .9 1 07 0 38 .4 61 1 22 .0 14 0. 5 12 0. 4 2 78 5 10 0. 0 44 4 L än si -T ur un m aa 73 7 1. 8 1 79 8 4. 3 5 58 5 13 .4 8 93 0 21 .5 14 3 10 34 .4 9 37 9 22 .6 39 0 0. 9 43 8 1. 1 41 5 68 10 0. 0 58 5 P er nå -P er na ja 33 3 1. 3 1 48 8 5. 7 2 75 6 10 .5 6 66 9 25 .4 9 59 2 36 .5 5 14 9 19 .6 14 3 0. 5 13 6 0. 5 26 2 66 10 0. 0 63 8 P or vo o- Bo rg å 41 8 1. 1 1 59 0 4. 3 4 03 3 11 .0 9 56 7 26 .1 13 1 50 35 .9 7 43 9 20 .3 23 4 0. 6 17 4 0. 5 36 6 05 10 0. 0 70 1 R uo ts in py ht ää -S trö m fo rs 20 2 1. 1 1 04 5 5. 8 2 09 1 11 .6 4 90 4 27 .1 6 35 6 35 .2 3 31 3 18 .3 86 0. 5 81 0. 5 18 0 77 10 0. 0 71 0 R aa se po ri 56 3 0. 9 2 29 8 3. 7 5 55 0 8. 8 13 9 32 22 .1 25 1 65 40 .0 14 6 53 23 .3 39 1 0. 6 38 9 0. 6 62 9 42 10 0. 0 75 3 S ip oo -S ib bo 17 8 1. 0 74 3 4. 1 2 04 6 11 .2 4 55 0 24 .9 6 51 5 35 .7 3 94 3 21 .6 21 4 1. 2 73 0. 4 18 2 61 10 0. 0 75 5 S iu nt io -S ju nd eå 24 1 2. 0 1 29 1 10 .7 2 15 0 17 .8 2 97 5 24 .6 3 42 6 28 .3 1 79 5 14 .8 99 0. 8 13 0 1. 1 12 1 07 10 0. 0 To ta l 4 52 9 1. 3 18 8 31 5. 4 39 7 49 11 .4 83 0 38 23 .8 12 4 29 1 35 .6 73 5 70 21 .1 2 75 1 0. 8 2 52 8 0. 7 34 9 28 7 10 0. 0 R an ni kk o/ Po hj an m aa n ra nn ik ko 23 1 K as ki ne n- Ka sk ö 14 2. 1 92 13 .4 16 0 23 .2 20 2 29 .5 12 4 18 .1 92 13 .4 1 0. 1 2 0. 3 68 7 10 0. 0 28 0 K or sn äs 31 1 1. 9 1 28 3 7. 7 2 14 8 12 .9 6 00 9 36 .2 3 91 2 23 .6 2 78 9 16 .8 62 0. 4 83 0. 5 16 5 96 10 0. 0 28 7 K ris tin es ta d- Kr is tii na nk au pu nk i 83 4 1. 7 4 18 7 8. 4 6 20 8 12 .5 16 5 39 33 .3 13 1 04 26 .4 8 54 7 17 .2 67 0. 1 17 4 0. 4 49 6 60 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 148 Ta bl e 5c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad ve nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 28 8 K ro no by -K ru un up yy 75 0 1. 5 3 73 9 7. 5 6 68 5 13 .4 20 1 35 40 .4 12 4 69 25 .0 5 93 0 11 .9 73 0. 2 9 0. 0 49 7 90 10 0. 0 44 0 L ar sm o- Lu ot o 25 0 2. 6 69 8 7. 2 1 87 6 19 .4 3 60 9 37 .3 2 10 1 21 .7 1 12 0 11 .6 13 0. 1 3 0. 0 9 67 0 10 0. 0 47 5 M al ax -M aa la ht i 52 4 1. 5 2 16 6 6. 4 4 50 9 13 .3 12 1 90 35 .9 8 58 0 25 .3 5 60 9 16 .5 18 7 0. 6 19 9 0. 6 33 9 65 10 0. 0 49 9 K or sh ol m -M us ta sa ar i 1 09 9 2. 1 2 66 7 5. 0 6 74 8 12 .7 17 6 13 33 .1 13 7 97 25 .9 10 8 85 20 .4 27 6 0. 5 20 9 0. 4 53 2 94 10 0. 0 54 5 N är pe s- N är pi ö 1 23 4 1. 9 5 73 0 8. 9 7 79 9 12 .1 22 2 60 34 .6 15 4 63 24 .0 11 5 27 17 .9 11 8 0. 2 20 2 0. 3 64 3 34 10 0. 0 55 9 O ra va is -O ra va in en 30 1 2. 3 1 20 1 9. 2 2 17 3 16 .7 4 62 8 35 .5 2 66 7 20 .5 1 88 1 14 .5 11 0 0. 8 60 0. 5 13 0 21 10 0. 0 59 8 J ak ob st ad -P ie ta rs aa ri 87 1. 6 33 0 5. 9 1 26 1 22 .6 2 12 0 37 .9 1 10 7 19 .8 66 3 11 .9 20 0. 4 2 0. 0 5 59 0 10 0. 0 59 9 P ed er sö re -P ed er sö re n ku nt a 61 9 1. 1 3 64 3 6. 6 8 01 3 14 .6 23 0 88 42 .0 13 6 51 24 .8 5 85 9 10 .7 10 5 0. 2 5 0. 0 54 9 84 10 0. 0 89 3 N yk ar le by -U us ik aa rle py y 69 9 1. 5 3 00 0 6. 3 6 47 1 13 .5 18 2 23 38 .0 11 4 99 24 .0 7 59 6 15 .9 27 1 0. 6 17 4 0. 4 47 9 33 10 0. 0 90 5 V aa sa -V as a 19 2 1. 8 63 6 5. 8 1 29 2 11 .7 3 58 0 32 .5 2 97 2 27 .0 2 24 5 20 .4 58 0. 5 32 0. 3 11 0 08 10 0. 0 94 5 V ör å- M ax m o Vö yr i-M ak sa m aa 94 5 2. 6 2 95 5 8. 0 5 71 3 15 .4 13 0 16 35 .1 7 70 9 20 .8 6 22 0 16 .8 33 8 0. 9 22 5 0. 6 37 1 21 10 0. 0 To ta l 7 85 8 1. 8 32 3 27 7. 2 61 0 55 13 .6 16 3 21 5 36 .5 10 9 15 5 24 .4 70 9 65 15 .9 1 69 9 0. 4 1 38 1 0. 3 44 7 65 4 10 0. 0 Lo un ai s- Su om i 01 9 A ur a 55 1. 4 19 4 5. 1 57 5 15 .1 85 1 22 .4 1 29 5 34 .0 78 3 20 .6 24 0. 6 27 0. 7 3 80 5 10 0. 0 05 0 E ur a 23 8 0. 7 1 75 0 5. 1 3 97 2 11 .5 8 90 1 25 .8 13 4 53 39 .0 5 88 1 17 .0 41 0. 1 27 9 0. 8 34 5 15 10 0. 0 05 1 E ur aj ok i 90 0. 4 1 14 6 5. 3 2 64 7 12 .1 6 87 7 31 .5 6 90 3 31 .6 3 62 8 16 .6 69 0. 3 46 0 2. 1 21 8 19 10 0. 0 07 9 H ar ja va lta 52 0. 7 30 6 4. 2 80 2 11 .0 2 36 2 32 .5 2 63 5 36 .3 98 4 13 .5 8 0. 1 12 0 1. 7 7 26 8 10 0. 0 09 9 H on ka jo ki 54 5 2. 7 1 40 4 6. 9 2 76 5 13 .5 6 74 8 33 .0 6 06 4 29 .6 2 77 8 13 .6 28 0. 1 12 7 0. 6 20 4 60 10 0. 0 10 2 H ui tti ne n 57 5 2. 2 1 80 0 7. 0 3 42 9 13 .3 7 58 0 29 .3 8 83 4 34 .2 3 34 3 12 .9 15 0. 1 27 0 1. 0 25 8 47 10 0. 0 18 1 J äm ijä rv i 30 6 2. 6 93 1 8. 0 1 53 5 13 .2 3 41 4 29 .5 3 65 7 31 .6 1 67 6 14 .5 28 0. 2 46 0. 4 11 5 92 10 0. 0 20 2 K aa rin a 10 5 1. 6 34 1 5. 3 1 00 4 15 .5 1 46 2 22 .6 2 14 2 33 .1 1 33 4 20 .6 48 0. 7 35 0. 5 6 47 1 10 0. 0 21 4 K an ka an pä ä 1 31 5 3. 0 3 38 3 7. 6 5 07 1 11 .4 13 3 55 30 .1 14 4 96 32 .6 6 37 4 14 .3 14 2 0. 3 30 4 0. 7 44 4 40 10 0. 0 23 0 K ar vi a 64 7 2. 2 2 11 8 7. 1 3 70 2 12 .3 10 2 94 34 .3 9 10 9 30 .3 3 95 1 13 .2 31 0. 1 16 8 0. 6 30 0 20 10 0. 0 25 4 K iik oi ne n 11 2 1. 2 75 5 8. 2 1 28 8 14 .1 2 76 3 30 .2 2 80 7 30 .6 1 33 7 14 .6 4 0. 0 98 1. 1 9 16 3 10 0. 0 27 1 K ok em äk i 27 2 0. 9 1 82 1 6. 3 3 41 1 11 .8 9 56 0 33 .0 9 15 6 31 .6 4 28 0 14 .8 3 0. 0 44 3 1. 5 28 9 45 10 0. 0 28 4 K os ki T. l. 18 7 2. 4 53 4 6. 9 1 41 8 18 .4 1 57 5 20 .5 2 51 4 32 .6 1 32 9 17 .3 53 0. 7 94 1. 2 7 70 4 10 0. 0 30 4 K us ta vi 24 7 3. 1 56 8 7. 1 1 39 4 17 .3 1 52 6 19 .0 2 53 1 31 .5 1 53 6 19 .1 11 4 1. 4 12 2 1. 5 8 03 7 10 0. 0 31 9 K öy liö 18 0 1. 4 45 3 3. 6 1 04 2 8. 2 3 13 5 24 .6 5 61 4 44 .1 2 14 0 16 .8 8 0. 1 15 5 1. 2 12 7 27 10 0. 0 40 0 L ai til a 40 3 1. 4 1 75 5 6. 0 3 42 5 11 .7 6 85 8 23 .5 10 8 74 37 .3 5 57 6 19 .1 59 0. 2 23 4 0. 8 29 1 83 10 0. 0 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60 5 4. 5 2 08 9 15 .6 2 65 0 19 .8 4 52 9 33 .8 3 01 5 22 .5 16 6 1. 2 11 8 0. 9 13 4 11 10 0. 0 53 1 N ak ki la 69 0. 7 44 4 4. 8 1 27 2 13 .7 2 79 1 30 .0 3 23 1 34 .7 1 39 6 15 .0 9 0. 1 96 1. 0 9 30 8 10 0. 0 53 7 N oo rm ar kk u 22 7 1. 0 1 24 8 5. 2 3 06 6 12 .9 6 17 7 25 .9 8 76 0 36 .8 4 08 0 17 .1 2 0. 0 26 9 1. 1 23 8 30 10 0. 0 53 8 N ou si ai ne n 14 6 1. 5 44 5 4. 7 1 12 5 11 .8 2 21 4 23 .2 3 46 4 36 .3 2 00 0 21 .0 55 0. 6 82 0. 9 9 53 1 10 0. 0 56 1 O rip ää 95 1. 9 29 2 5. 9 52 1 10 .5 1 19 7 24 .0 1 85 0 37 .2 97 1 19 .5 20 0. 4 34 0. 7 4 97 9 10 0. 0 57 7 P ai m io 10 9 1. 1 38 2 3. 7 1 15 2 11 .2 2 23 1 21 .7 3 91 8 38 .0 2 39 1 23 .2 62 0. 6 56 0. 5 10 3 02 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 149 Ta bl e 5c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad ve nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 60 8 P om ar kk u 20 3 0. 9 1 11 9 5. 1 2 23 9 10 .1 5 37 9 24 .3 8 37 0 37 .8 4 71 0 21 .3 10 0. 0 11 6 0. 5 22 1 46 10 0. 0 60 9 P or i 22 8 0. 9 1 16 3 4. 6 3 43 4 13 .7 5 77 2 23 .0 10 2 71 40 .9 3 93 2 15 .7 4 0. 0 31 6 1. 3 25 1 20 10 0. 0 63 1 P yh är an ta 12 3 1. 3 84 3 8. 8 1 08 0 11 .3 1 84 1 19 .3 3 66 0 38 .4 1 83 0 19 .2 18 0. 2 13 4 1. 4 9 52 9 10 0. 0 63 6 P öy ty ä 28 5 0. 7 1 26 7 3. 3 4 06 4 10 .6 9 89 3 25 .8 14 5 89 38 .0 7 77 9 20 .3 20 6 0. 5 27 4 0. 7 38 3 58 10 0. 0 68 0 R ai si o 34 1. 8 11 7 6. 2 29 7 15 .7 40 9 21 .6 63 6 33 .5 38 0 20 .0 16 0. 8 9 0. 5 1 89 7 10 0. 0 68 4 R au m a 24 7 0. 8 1 98 2 6. 6 3 42 9 11 .4 7 37 1 24 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0. 5 25 0. 7 3 85 4 10 0. 0 85 3 Tu rk u- Åb o 15 7 1. 7 52 9 5. 8 1 42 5 15 .7 2 01 4 22 .2 3 02 8 33 .3 1 82 5 20 .1 65 0. 7 44 0. 5 9 08 6 10 0. 0 88 6 U lv ila 11 5 0. 4 1 27 7 4. 7 3 54 2 12 .9 8 54 8 31 .2 9 28 9 33 .9 4 30 5 15 .7 0 0. 0 33 3 1. 2 27 4 09 10 0. 0 89 5 U us ik au pu nk i 50 9 1. 8 1 44 9 5. 2 4 48 9 16 .0 6 59 9 23 .5 9 26 1 32 .9 5 21 9 18 .6 28 8 1. 0 30 6 1. 1 28 1 20 10 0. 0 91 8 V eh m aa 20 6 2. 1 65 1 6. 8 1 80 8 18 .8 2 10 9 21 .9 2 96 8 30 .8 1 66 9 17 .3 11 1 1. 2 11 0 1. 2 9 63 2 10 0. 0 To ta l 13 5 74 1. 5 51 2 63 5. 5 11 4 64 2 12 .4 24 3 34 9 26 .2 33 1 06 0 35 .7 16 3 09 2 17 .6 3 34 5 0. 4 8 19 8 0. 9 92 8 52 5 10 0. 0 H äm e- U us im aa 01 5 A rtj är vi 10 7 1. 2 58 5 6. 6 1 37 1 15 .4 2 33 3 26 .3 2 83 5 31 .9 1 57 9 17 .8 44 0. 5 28 0. 3 8 88 2 10 0. 0 01 6 A si kk al a 37 9 1. 0 3 20 6 8. 0 5 97 7 15 .0 10 0 27 25 .1 12 6 39 31 .6 7 42 5 18 .6 18 8 0. 5 11 1 0. 3 39 9 52 10 0. 0 01 8 A sk ol a 14 0 1. 3 72 7 6. 6 1 51 8 13 .7 2 62 3 23 .7 3 99 4 36 .1 1 95 2 17 .7 67 0. 6 39 0. 4 11 0 61 10 0. 0 06 1 F or ss a 76 0. 6 93 2 7. 0 1 92 0 14 .5 3 13 0 23 .6 5 05 5 38 .1 1 99 6 15 .0 36 0. 3 13 6 1. 0 13 2 81 10 0. 0 08 1 H ar to la 25 5 0. 6 3 85 2 8. 9 6 12 5 14 .1 10 0 29 23 .0 15 3 38 35 .2 7 66 5 17 .6 17 4 0. 4 97 0. 2 43 5 36 10 0. 0 08 2 H at tu la 36 0 1. 6 2 06 6 8. 9 3 65 0 15 .8 6 59 7 28 .5 6 92 4 29 .9 3 35 7 14 .5 10 9 0. 5 72 0. 3 23 1 36 10 0. 0 08 6 H au sj är vi 34 1 1. 8 2 00 4 10 .7 3 10 3 16 .5 4 40 0 23 .5 6 33 8 33 .8 2 43 5 13 .0 75 0. 4 59 0. 3 18 7 54 10 0. 0 09 8 H ol lo la 34 5 1. 2 2 36 6 8. 3 4 66 8 16 .4 7 50 0 26 .3 8 71 9 30 .6 4 68 8 16 .5 14 2 0. 5 43 0. 2 28 4 72 10 0. 0 10 3 H um pp ila 96 1. 4 52 0 7. 3 86 4 12 .2 1 46 2 20 .6 2 72 8 38 .4 1 37 8 19 .4 0 0. 0 57 0. 8 7 10 5 10 0. 0 10 6 H yv in kä ä 32 4 1. 7 1 75 2 9. 1 2 88 9 14 .9 4 69 0 24 .3 6 78 4 35 .1 2 75 6 14 .3 86 0. 5 48 0. 3 19 3 28 10 0. 0 10 9 H äm ee nl in na 1 67 5 1. 4 11 2 12 9. 1 16 2 57 13 .2 32 5 38 26 .5 40 7 12 33 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72 0. 6 6 0. 1 11 5 61 10 0. 0 31 6 K är kö lä 22 8 1. 7 1 44 6 10 .6 2 37 3 17 .4 3 84 4 28 .1 4 05 3 29 .6 1 66 8 12 .2 55 0. 4 10 0. 1 13 6 76 10 0. 0 39 8 L ah ti 11 0 1. 6 56 6 8. 5 1 30 7 19 .6 1 73 8 26 .0 1 81 9 27 .2 1 06 8 16 .0 29 0. 4 45 0. 7 6 68 1 10 0. 0 43 3 L op pi 64 8 1. 6 3 86 8 9. 3 5 97 0 14 .4 10 5 65 25 .5 13 2 98 32 .0 6 74 1 16 .2 21 2 0. 5 20 3 0. 5 41 5 06 10 0. 0 44 4 L oh ja 34 3 1. 8 1 95 8 10 .4 4 03 5 21 .4 4 86 5 25 .8 4 83 8 25 .6 2 55 7 13 .6 14 0 0. 7 13 7 0. 7 18 8 73 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 150 Ta bl e 5c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad ve nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 50 4 M yr sk yl ä- M ör sk om 11 8 1. 0 54 5 4. 7 1 63 6 14 .1 3 08 8 26 .7 4 14 2 35 .8 1 96 7 17 .0 53 0. 5 29 0. 3 11 5 79 10 0. 0 50 5 M än ts äl ä 53 3 1. 6 2 95 5 8. 7 5 04 6 14 .8 8 71 0 25 .6 11 7 81 34 .6 4 88 4 14 .3 10 3 0. 3 37 0. 1 34 0 49 10 0. 0 53 2 N as to la 22 6 1. 1 1 53 7 7. 3 3 48 2 16 .5 5 67 1 26 .8 6 56 6 31 .0 3 51 3 16 .6 12 5 0. 6 54 0. 3 21 1 75 10 0. 0 54 0 N um m i-P us ul a 48 0 1. 7 2 43 4 8. 6 4 72 1 16 .7 7 69 4 27 .3 8 50 6 30 .2 4 02 6 14 .3 18 5 0. 7 16 2 0. 6 28 2 08 10 0. 0 54 3 N ur m ijä rv i 37 3 2. 2 1 76 2 10 .5 3 46 5 20 .7 4 29 1 25 .7 4 39 4 26 .3 2 13 0 12 .7 21 9 1. 3 91 0. 5 16 7 25 10 0. 0 56 0 O rim at til a 46 7 1. 4 3 49 6 10 .3 6 23 0 18 .3 8 62 7 25 .4 9 75 7 28 .7 5 09 2 15 .0 17 9 0. 5 12 7 0. 4 33 9 75 10 0. 0 57 6 P ad as jo ki 41 8 1. 1 2 90 8 7. 3 4 96 8 12 .5 10 2 03 25 .8 13 5 90 34 .3 7 23 1 18 .3 14 4 0. 4 14 3 0. 4 39 6 04 10 0. 0 61 1 P or na in en 83 1. 1 39 4 5. 1 1 09 0 14 .1 2 12 4 27 .4 2 74 2 35 .3 1 23 3 15 .9 69 0. 9 26 0. 3 7 76 3 10 0. 0 61 6 P uk ki la 78 1. 2 45 4 6. 7 1 11 2 16 .4 1 86 9 27 .6 2 25 2 33 .2 96 5 14 .2 38 0. 6 16 0. 2 6 78 3 10 0. 0 69 4 R iih im äk i 13 0 1. 9 76 8 11 .3 1 23 8 18 .2 1 59 2 23 .4 2 10 2 30 .9 92 2 13 .6 24 0. 4 20 0. 3 6 79 7 10 0. 0 78 1 S ys m ä 33 9 0. 7 4 76 9 9. 2 7 10 0 13 .7 10 8 24 20 .8 17 9 74 34 .6 10 6 88 20 .6 20 4 0. 4 99 0. 2 51 9 96 10 0. 0 83 4 Ta m m el a 29 3 0. 7 2 29 0 5. 8 4 31 7 10 .9 12 0 50 30 .5 13 5 20 34 .3 6 65 7 16 .9 93 0. 2 23 5 0. 6 39 4 56 10 0. 0 85 8 Tu us ul a 18 9 1. 9 93 8 9. 3 1 81 9 18 .1 2 64 4 26 .3 2 86 5 28 .5 1 43 7 14 .3 13 7 1. 4 44 0. 4 10 0 72 10 0. 0 92 7 V ih ti 36 9 1. 3 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31 .2 9 63 5 34 .3 3 52 4 12 .5 56 0. 2 14 2 0. 5 28 1 08 10 0. 0 14 3 Ik aa lin en 73 6 1. 3 3 94 5 7. 2 7 13 5 13 .0 17 1 42 31 .2 18 5 58 33 .8 7 04 6 12 .8 94 0. 2 32 2 0. 6 54 9 78 10 0. 0 17 7 J uu pa jo ki 26 3 1. 4 1 59 6 8. 2 2 33 1 12 .0 5 12 4 26 .3 6 89 7 35 .5 3 03 3 15 .6 41 0. 2 17 2 0. 9 19 4 56 10 0. 0 21 1 K an ga sa la 72 2 2. 3 1 95 2 6. 2 3 96 6 12 .7 8 34 1 26 .7 10 2 50 32 .8 5 73 5 18 .3 88 0. 3 23 1 0. 7 31 2 86 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 151 Ta bl e 5c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad ve nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 25 0 K ih ni ö 34 8 1. 3 1 26 1 4. 6 2 68 4 9. 8 9 25 9 33 .9 10 2 25 37 .4 3 47 0 12 .7 20 0. 1 86 0. 3 27 3 53 10 0. 0 28 9 K uh m al ah ti 21 7 1. 8 1 36 2 11 .0 1 89 9 15 .4 3 13 9 25 .5 3 78 8 30 .7 1 79 4 14 .6 60 0. 5 70 0. 6 12 3 28 10 0. 0 31 0 K yl m äk os ki 11 4 1. 1 77 2 7. 2 1 63 8 15 .3 2 65 9 24 .8 4 05 3 37 .7 1 33 6 12 .4 47 0. 4 11 9 1. 1 10 7 37 10 0. 0 41 8 L em pä äl ä 78 3 4. 6 1 12 2 6. 6 1 72 9 10 .1 4 30 3 25 .1 6 28 5 36 .7 2 76 3 16 .1 28 0. 2 11 9 0. 7 17 1 32 10 0. 0 50 8 M än ttä -V ilp pu la 49 0 1. 1 2 60 7 6. 1 4 92 0 11 .4 11 4 16 26 .5 16 3 51 38 .0 6 94 8 16 .2 42 0. 1 25 9 0. 6 43 0 33 10 0. 0 53 6 N ok ia 35 5 1. 9 1 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S ul ka va 83 8 1. 7 4 43 6 9. 0 7 09 7 14 .4 13 8 00 28 .0 16 5 14 33 .5 6 43 5 13 .0 44 0. 1 17 5 0. 4 49 3 38 10 0. 0 To ta l 15 6 64 1. 4 92 0 10 8. 1 15 9 79 4 14 .1 32 8 17 5 29 .0 35 9 52 2 31 .8 17 2 22 0 15 .2 1 60 6 0. 1 2 77 5 0. 3 1 13 1 76 7 10 0. 0 Et el ä- Po hj an m aa 00 5 A la jä rv i 1 35 0 1. 8 4 97 1 6. 6 8 25 1 11 .0 25 9 45 34 .7 25 0 85 33 .5 8 85 5 11 .8 13 0. 0 34 0 0. 5 74 8 11 10 0. 0 01 0 A la vu s 1 19 7 2. 2 4 59 0 8. 5 6 86 4 12 .7 16 5 04 30 .5 17 4 30 32 .2 7 21 3 13 .3 46 0. 1 30 0 0. 6 54 1 44 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 152 Ta bl e 5c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad ve nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 05 2 E vi jä rv i 47 9 2. 0 2 30 0 9. 8 3 19 2 13 .6 9 62 6 41 .1 5 49 3 23 .4 2 33 9 10 .0 17 0. 1 1 0. 0 23 4 47 10 0. 0 07 4 H al su a 24 1 0. 9 1 23 2 4. 6 3 27 5 12 .3 11 6 12 43 .7 6 48 9 24 .4 3 65 6 13 .8 12 0. 1 72 0. 3 26 5 89 10 0. 0 09 5 H im an ka 38 7 2. 2 1 37 8 7. 7 2 03 8 11 .3 7 45 7 41 .5 4 47 2 24 .9 2 19 6 12 .2 7 0. 0 48 0. 3 17 9 84 10 0. 0 14 5 Il m aj ok i 65 5 2. 0 3 51 2 10 .5 4 50 8 13 .4 10 8 25 32 .2 7 66 0 22 .8 6 26 5 18 .6 60 0. 2 13 8 0. 4 33 6 22 10 0. 0 15 1 Is oj ok i 58 8 1. 4 2 62 0 6. 1 4 95 2 11 .4 15 6 79 36 .2 12 1 51 28 .0 7 17 5 16 .6 42 0. 1 13 3 0. 3 43 3 42 10 0. 0 15 2 Is ok yr ö 33 7 1. 8 1 78 8 9. 4 2 92 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9 S oi ni 61 5 1. 5 2 41 8 5. 7 3 97 0 9. 4 16 7 50 39 .6 13 6 32 32 .2 4 76 1 11 .3 12 0. 0 15 4 0. 4 42 3 11 10 0. 0 84 6 Te uv a 60 5 1. 7 3 01 1 8. 5 4 71 0 13 .2 13 2 65 37 .2 8 24 6 23 .1 5 67 9 15 .9 46 0. 1 71 0. 2 35 6 33 10 0. 0 84 9 To ho la m pi 52 8 1. 4 3 15 6 8. 5 4 69 6 12 .7 14 8 19 40 .1 8 81 5 23 .9 4 85 3 13 .1 11 0. 0 72 0. 2 36 9 51 10 0. 0 86 3 Tö ys ä 50 6 2. 3 1 71 7 7. 7 2 31 3 10 .3 6 14 2 27 .5 7 96 1 35 .6 3 62 4 16 .2 1 0. 0 97 0. 4 22 3 60 10 0. 0 92 4 V et el i 51 6 1. 7 1 98 3 6. 5 3 20 1 10 .4 13 4 79 43 .9 8 09 2 26 .4 3 35 3 10 .9 14 0. 1 53 0. 2 30 6 92 10 0. 0 93 4 V im pe li 18 8 1. 1 92 0 5. 1 2 15 4 12 .0 7 68 2 42 .8 4 85 9 27 .1 2 11 6 11 .8 8 0. 1 38 0. 2 17 9 66 10 0. 0 94 2 V äh äk yr ö 24 0 2. 7 1 00 9 11 .3 1 59 7 17 .9 2 94 2 32 .9 1 75 4 19 .6 1 26 7 14 .2 65 0. 7 73 0. 8 8 94 6 10 0. 0 98 9 Ä ht är i 94 3 1. 4 3 87 6 5. 9 6 70 8 10 .2 22 7 92 34 .6 23 7 12 36 .0 7 52 0 11 .4 10 0. 0 24 0 0. 4 65 8 00 10 0. 0 To ta l 23 1 35 1. 8 99 6 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8 82 14 .1 99 0. 1 51 9 0. 5 10 5 71 2 10 0. 0 25 6 K in nu la 55 1 1. 5 2 50 1 6. 8 3 77 1 10 .3 14 4 53 39 .5 10 7 05 29 .3 4 42 6 12 .1 59 0. 2 10 1 0. 3 36 5 67 10 0. 0 26 5 K iv ijä rv i 77 2 2. 0 3 06 1 7. 8 3 64 9 9. 3 13 5 04 34 .5 12 8 56 32 .8 5 14 5 13 .1 23 0. 1 19 2 0. 5 39 2 03 10 0. 0 27 5 K on ne ve si 80 3 1. 9 3 77 3 8. 8 6 77 7 15 .8 12 8 68 29 .9 12 6 37 29 .4 6 09 8 14 .2 0 0. 0 67 0. 2 43 0 22 10 0. 0 29 1 K uh m oi ne n 78 1 1. 5 5 75 7 10 .7 7 73 9 14 .4 13 3 27 24 .9 17 3 31 32 .3 8 47 1 15 .8 12 3 0. 2 11 0 0. 2 53 6 39 10 0. 0 31 2 K yy jä rv i 36 5 1. 1 1 57 9 4. 7 2 88 7 8. 6 14 4 78 43 .2 10 5 37 31 .5 3 56 4 10 .6 15 0. 1 81 0. 2 33 5 05 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 153 Ta bl e 5c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad ve nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 41 0 L au ka a 78 9 1. 6 5 17 8 10 .7 8 50 0 17 .5 13 0 88 27 .0 14 3 51 29 .6 6 43 2 13 .3 70 0. 1 11 2 0. 2 48 5 20 10 0. 0 43 5 L uh an ka 14 1 0. 8 1 50 5 8. 6 2 85 6 16 .4 4 00 5 23 .0 5 70 3 32 .7 3 15 2 18 .1 35 0. 2 57 0. 3 17 4 54 10 0. 0 49 5 M ul tia 77 8 1. 2 3 34 4 5. 3 5 54 3 8. 7 21 8 91 34 .5 22 8 91 36 .1 8 77 7 13 .8 40 0. 1 14 1 0. 2 63 4 06 10 0. 0 50 0 M uu ra m e 15 1 1. 4 1 17 4 10 .6 1 83 1 16 .5 2 87 2 25 .8 3 36 4 30 .3 1 68 2 15 .1 19 0. 2 27 0. 2 11 1 20 10 0. 0 59 2 P et äj äv es i 40 6 1. 1 3 32 9 8. 8 5 78 8 15 .3 11 0 68 29 .3 12 6 94 33 .6 4 38 8 11 .6 61 0. 2 25 0. 1 37 7 61 10 0. 0 60 1 P ih tip ud as 88 7 1. 0 7 14 8 8. 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5 0. 2 55 4 06 10 0. 0 17 4 J ua nk os ki 45 3 1. 3 3 29 0 9. 2 5 09 7 14 .3 12 9 82 36 .5 9 06 6 25 .5 4 59 3 12 .9 14 0. 0 95 0. 3 35 5 90 10 0. 0 20 4 K aa vi 63 3 1. 1 4 38 5 7. 6 6 22 7 10 .7 22 3 40 38 .5 16 5 79 28 .6 7 52 0 13 .0 21 0. 0 26 4 0. 5 57 9 68 10 0. 0 22 7 K ar ttu la 81 5 2. 0 3 45 8 8. 4 6 27 4 15 .2 13 3 47 32 .4 11 4 45 27 .8 5 80 7 14 .1 1 0. 0 77 0. 2 41 2 24 10 0. 0 23 9 K ei te le 48 0 1. 2 3 18 8 7. 8 5 25 1 12 .9 14 7 57 36 .1 13 8 47 33 .9 3 23 1 7. 9 63 0. 2 58 0. 1 40 8 75 10 0. 0 26 3 K iu ru ve si 1 39 0 1. 4 8 67 6 8. 9 13 0 79 13 .4 37 4 22 38 .3 29 3 88 30 .1 7 54 3 7. 7 20 4 0. 2 73 0. 1 97 7 77 10 0. 0 29 7 K uo pi o 1 14 1 1. 3 7 50 6 8. 6 12 4 71 14 .3 28 0 96 32 .3 23 6 62 27 .2 13 8 63 15 .9 0 0. 0 34 4 0. 4 87 0 84 10 0. 0 40 2 L ap in la ht i 61 9 1. 4 4 69 4 10 .3 6 14 3 13 .5 17 7 28 38 .8 11 6 79 25 .6 4 73 0 10 .4 0 0. 0 74 0. 2 45 6 67 10 0. 0 42 0 L ep pä vi rta 1 35 1 1. 5 7 05 9 7. 6 11 3 80 12 .3 31 0 09 33 .6 25 2 38 27 .3 16 0 96 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i 2 18 3 1. 0 8 47 2 4. 1 18 5 80 8. 9 10 7 91 9 51 .6 53 4 35 25 .6 17 6 00 8. 4 0 0. 0 81 4 0. 4 20 9 00 3 10 0. 0 16 7 J oe ns uu 2 81 3 1. 4 13 1 59 6. 7 23 6 66 12 .0 73 1 86 37 .1 59 6 86 30 .3 23 9 87 12 .2 1 0. 0 59 6 0. 3 19 7 09 5 10 0. 0 17 6 J uu ka 1 60 5 1. 3 7 76 9 6. 2 12 9 33 10 .3 51 3 58 40 .9 38 7 72 30 .8 12 8 07 10 .2 0 0. 0 47 8 0. 4 12 5 72 1 10 0. 0 24 8 K es äl ah ti 47 9 1. 5 2 21 5 7. 0 3 82 7 12 .1 10 5 54 33 .3 10 4 97 33 .1 3 95 2 12 .5 0 0. 0 16 7 0. 5 31 6 91 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 154 Ta bl e 5c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad ve nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 26 0 K ite e 82 6 1. 2 4 53 6 6. 7 9 21 6 13 .6 23 7 51 35 .1 20 6 41 30 .5 8 51 6 12 .6 0 0. 0 25 3 0. 4 67 7 39 10 0. 0 27 6 K on tio la ht i 1 02 3 1. 6 4 62 4 7. 0 8 03 8 12 .2 24 3 40 37 .0 19 7 24 30 .0 7 61 3 11 .6 0 0. 0 34 7 0. 5 65 7 09 10 0. 0 30 9 O ut ok um pu 57 0 1. 6 2 94 1 8. 3 4 62 8 13 .1 12 4 40 35 .1 10 7 83 30 .5 3 97 5 11 .2 0 0. 0 75 0. 2 35 4 12 10 0. 0 42 2 L ie ks a 3 65 4 1. 3 16 5 70 6. 0 30 9 68 11 .3 12 9 09 3 47 .0 69 7 95 25 .4 23 0 69 8. 4 0 0. 0 1 35 0 0. 5 27 4 49 9 10 0. 0 42 6 L ip er i 96 2 1. 8 5 17 9 9. 8 7 42 7 14 .1 17 2 38 32 .8 15 4 91 29 .4 6 19 1 11 .8 3 0. 0 14 3 0. 3 52 6 35 10 0. 0 54 1 N ur m es 1 37 7 1. 0 7 55 5 5. 6 15 8 45 11 .7 57 6 88 42 .8 37 1 09 27 .5 14 6 85 10 .9 0 0. 0 69 6 0. 5 13 4 95 4 10 0. 0 60 7 P ol vi jä rv i 84 5 1. 4 4 63 9 7. 6 7 90 9 12 .9 23 4 96 38 .3 17 9 92 29 .4 6 23 3 10 .2 0 0. 0 18 6 0. 3 61 3 00 10 0. 0 70 7 R ää kk yl ä 35 7 1. 1 2 58 5 7. 9 4 61 3 14 .1 10 0 41 30 .7 10 4 66 32 .0 4 54 2 13 .9 0 0. 0 60 0. 2 32 6 64 10 0. 0 84 8 To hm aj är vi 78 6 1. 2 4 16 3 6. 4 7 03 3 10 .8 25 4 56 39 .2 19 8 98 30 .6 7 47 5 11 .5 0 0. 0 18 4 0. 3 64 9 95 10 0. 0 91 1 V al tim o 53 4 0. 8 4 03 8 6. 0 8 31 1 12 .3 29 5 89 43 .7 19 4 75 28 .8 5 63 5 8. 3 0 0. 0 14 8 0. 2 67 7 29 10 0. 0 To ta l 18 0 14 1. 3 88 4 44 6. 2 16 2 99 4 11 .5 59 6 14 6 42 .0 40 3 76 4 28 .4 14 6 28 1 10 .3 5 0. 0 5 49 7 0. 4 1 42 1 14 6 10 0. 0 Ka in uu 10 5 H yr yn sa lm i 92 3 0. 9 9 69 0 8. 9 11 8 72 10 .9 54 0 72 49 .6 17 9 02 16 .4 14 3 66 13 .2 0 0. 0 22 6 0. 2 10 9 05 0 10 0. 0 20 5 K aj aa ni 1 79 0 1. 2 9 23 8 6. 4 15 4 29 10 .7 68 1 58 47 .4 35 9 99 25 .0 12 6 86 8. 8 19 2 0. 1 45 5 0. 3 14 3 94 7 10 0. 0 29 0 K uh m o 3 16 7 0. 9 22 7 42 6. 3 43 1 21 12 .0 18 9 10 3 52 .6 57 2 45 15 .9 42 6 81 11 .9 13 0. 0 1 15 9 0. 3 35 9 23 1 10 0. 0 57 8 P al ta m o 88 0 1. 1 7 01 1 9. 0 8 53 9 11 .0 33 3 07 42 .9 17 8 15 23 .0 9 87 0 12 .7 24 0. 0 18 5 0. 2 77 6 31 10 0. 0 62 0 P uo la nk a 1 83 6 1. 0 18 6 21 10 .2 22 4 02 12 .3 84 4 19 46 .3 33 9 24 18 .6 21 0 02 11 .5 67 0. 0 24 1 0. 1 18 2 51 2 10 0. 0 69 7 R is tij är vi 61 5 0. 9 6 05 6 8. 8 7 86 8 11 .4 31 4 13 45 .5 14 7 34 21 .3 8 35 5 12 .1 3 0. 0 79 0. 1 69 1 22 10 0. 0 76 5 S ot ka m o 2 21 5 1. 0 14 9 37 6. 8 24 2 04 11 .0 99 7 45 45 .2 57 7 42 26 .2 21 3 95 9. 7 57 0. 0 47 5 0. 2 22 0 77 0 10 0. 0 77 7 S uo m us sa lm i 4 53 3 1. 2 34 7 58 9. 5 45 5 62 12 .4 18 6 05 6 50 .6 44 3 51 12 .1 51 3 64 14 .0 1 0. 0 1 18 8 0. 3 36 7 81 2 10 0. 0 78 5 V aa la 1 67 1 2. 0 6 39 5 7. 6 12 5 91 14 .9 40 2 58 47 .6 15 3 23 18 .1 7 87 4 9. 3 19 6 0. 2 23 5 0. 3 84 5 43 10 0. 0 To ta l 17 6 31 1. 1 12 9 44 8 8. 0 19 1 58 8 11 .9 78 6 53 1 48 .7 29 5 03 4 18 .3 18 9 59 3 11 .7 55 2 0. 0 4 24 2 0. 3 1 61 4 61 9 10 0. 0 Po hj oi s- Po hj an m aa 00 9 A la vi es ka 31 1 2. 0 1 67 5 10 .5 1 46 5 9. 2 7 21 8 45 .3 3 76 6 23 .6 1 47 1 9. 2 6 0. 0 40 0. 3 15 9 52 10 0. 0 06 9 H aa pa jä rv i 54 3 0. 9 3 90 9 6. 7 4 75 5 8. 2 25 3 97 43 .5 17 9 46 30 .8 5 60 7 9. 6 12 2 0. 2 47 0. 1 58 3 25 10 0. 0 07 1 H aa pa ve si 1 42 4 1. 9 6 08 3 8. 1 6 98 6 9. 3 31 7 89 42 .1 23 2 36 30 .8 5 65 4 7. 5 18 8 0. 3 68 0. 1 75 4 28 10 0. 0 07 2 H ai lu ot o 43 4 3. 4 2 23 2 17 .4 2 24 2 17 .5 3 87 5 30 .2 2 41 9 18 .8 1 45 5 11 .3 7 0. 1 18 4 1. 4 12 8 46 10 0. 0 08 4 H au ki pu da s 74 6 2. 5 2 93 5 9. 7 3 98 9 13 .2 11 6 42 38 .5 6 34 1 21 .0 4 29 6 14 .2 35 0. 1 27 6 0. 9 30 2 62 10 0. 0 13 9 Ii 1 37 6 1. 4 7 74 3 7. 6 14 3 03 14 .0 45 4 48 44 .6 21 2 13 20 .8 11 3 34 11 .1 50 0. 1 45 2 0. 4 10 1 92 0 10 0. 0 20 8 K al aj ok i 1 65 3 3. 7 4 82 5 10 .7 3 99 8 8. 9 21 6 11 48 .0 9 30 8 20 .7 3 43 0 7. 6 7 0. 0 22 4 0. 5 45 0 55 10 0. 0 24 4 K em pe le 97 1. 6 46 7 7. 9 1 02 1 17 .3 2 24 5 38 .0 1 28 3 21 .7 73 5 12 .4 18 0. 3 45 0. 8 5 91 0 10 0. 0 25 5 K iim in ki 35 7 1. 7 1 30 1 6. 1 2 78 3 13 .0 8 83 8 41 .4 4 88 7 22 .9 3 07 7 14 .4 28 0. 1 10 4 0. 5 21 3 75 10 0. 0 30 5 K uu sa m o 2 43 7 0. 8 24 4 15 7. 7 35 3 10 11 .2 14 5 51 4 46 .1 43 1 45 13 .7 64 4 62 20 .4 58 0. 0 31 8 0. 1 31 5 66 0 10 0. 0 31 7 K är sä m äk i 73 2 1. 4 2 65 1 5. 1 4 20 7 8. 1 24 9 53 47 .8 15 2 27 29 .2 4 33 7 8. 3 42 0. 1 51 0. 1 52 2 01 10 0. 0 42 5 L im in ka 56 6 1. 6 2 28 8 6. 5 6 30 5 17 .9 15 9 43 45 .1 6 96 6 19 .8 3 13 2 8. 9 68 0. 3 0 0. 0 35 2 67 10 0. 0 43 6 L um ijo ki 34 2 2. 7 1 20 8 9. 6 2 17 3 17 .3 4 86 4 38 .8 2 65 7 21 .2 1 19 5 9. 5 46 0. 2 50 0. 6 12 5 34 10 0. 0 48 3 M er ijä rv i 43 8 2. 6 2 21 9 13 .0 1 56 1 9. 1 7 12 2 41 .6 4 20 5 24 .6 1 53 8 9. 0 6 0. 0 18 0. 1 17 1 07 10 0. 0 49 4 M uh os 1 02 6 2. 1 3 98 6 8. 3 7 99 7 16 .7 21 1 81 44 .3 8 59 7 18 .0 4 80 5 10 .0 10 7 0. 2 15 6 0. 3 47 8 56 10 0. 0 53 5 N iva la 46 9 1. 5 3 50 5 11 .5 2 91 9 9. 6 11 3 01 37 .1 8 98 6 29 .5 3 10 7 10 .2 74 0. 2 65 0. 2 30 4 27 10 0. 0 56 3 O ul ai ne n 87 9 2. 0 5 66 1 13 .0 4 47 0 10 .2 16 7 29 38 .3 12 3 62 28 .3 3 51 3 8. 0 59 0. 1 20 0. 1 43 6 92 10 0. 0 56 4 O ul u 1 16 3 1. 3 4 87 1 5. 4 12 4 89 13 .9 40 0 28 44 .5 19 9 14 22 .1 11 1 53 12 .4 12 0 0. 1 27 8 0. 3 90 0 17 10 0. 0 56 7 O ul un sa lo 10 5 2. 2 48 6 10 .0 84 7 17 .5 1 55 1 32 .1 1 09 3 22 .6 67 9 14 .0 11 0. 2 68 1. 4 4 84 0 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 155 Ta bl e 5c . C on tin u e d Fo re st ry c en tre O pe n re ge ne ra tio n si te Yo un g se ed lin g st an d Ad ve nc ed s ee dl in g st an d Yo un g th in ni ng s ta nd Ad va nc ed th in ni ng st an d M at ur e st an d Sh el te rw oo d st an d Se ed tr ee s ta nd Fo re st la nd to ta l M un ic ip al ity ha % ha % ha % ha % ha % ha % ha % ha % ha % 61 5 P ud as jä rv i 3 06 5 0. 9 25 9 52 7. 6 48 2 92 14 .2 17 4 64 8 51 .3 56 9 80 16 .7 31 0 60 9. 1 19 5 0. 1 21 6 0. 1 34 0 40 8 10 0. 0 62 5 P yh äj ok i 98 3 2. 4 4 46 9 10 .9 4 56 0 11 .1 18 7 36 45 .7 8 57 4 20 .9 3 59 2 8. 8 12 0. 0 10 8 0. 3 41 0 34 10 0. 0 62 6 P yh äs al m i 1 05 8 1. 0 6 57 4 6. 2 10 0 45 9. 5 46 2 62 43 .9 32 1 49 30 .5 9 16 1 8. 7 16 1 0. 2 21 0. 0 10 5 43 1 10 0. 0 63 0 P yh än tä 57 9 1. 0 2 76 2 4. 8 7 48 7 13 .1 28 0 76 49 .0 12 5 37 21 .9 5 70 3 10 .0 13 2 0. 2 66 0. 1 57 3 43 10 0. 0 67 8 R aa he 77 2 2. 0 3 73 7 9. 6 5 34 1 13 .7 14 6 25 37 .6 9 20 7 23 .7 4 87 3 12 .5 13 8 0. 4 16 6 0. 4 38 8 57 10 0. 0 69 1 R ei sj är vi 59 0 1. 7 2 70 0 7. 9 2 87 0 8. 4 16 0 59 47 .0 8 79 4 25 .7 3 08 0 9. 0 23 0. 1 82 0. 2 34 1 98 10 0. 0 74 6 S ie vi 1 20 3 2. 2 4 65 8 8. 6 4 66 9 8. 7 26 5 80 49 .3 12 3 45 22 .9 4 21 9 7. 8 20 0. 0 21 1 0. 4 53 9 04 10 0. 0 74 8 S iik aj ok i 1 91 9 2. 8 6 49 4 9. 6 9 85 8 14 .5 28 0 95 41 .4 14 4 41 21 .3 6 54 5 9. 6 23 7 0. 4 30 7 0. 5 67 8 96 10 0. 0 79 1 S iik al at va 2 06 9 1. 4 7 90 5 5. 2 18 9 68 12 .5 72 3 15 47 .7 36 0 74 23 .8 13 7 83 9. 1 59 0 0. 4 70 0. 1 15 1 77 4 10 0. 0 83 2 Ta iva lko sk i 2 13 9 1. 3 16 7 13 10 .2 16 7 20 10 .2 73 4 36 44 .7 27 9 83 17 .0 26 8 11 16 .3 20 7 0. 1 22 7 0. 1 16 4 23 4 10 0. 0 85 9 Ty rn äv ä 65 1 2. 3 2 11 6 7. 5 4 72 1 16 .7 12 5 69 44 .5 5 20 8 18 .5 2 87 1 10 .2 57 0. 2 33 0. 1 28 2 27 10 0. 0 88 9 U ta jä rv i 1 56 5 1. 5 6 44 0 6. 2 15 4 25 14 .9 51 8 03 50 .2 17 6 36 17 .1 10 1 02 9. 8 93 0. 1 16 9 0. 2 10 3 23 4 10 0. 0 92 6 V ih an ti 70 4 2. 0 2 90 5 8. 4 4 22 5 12 .2 14 4 80 41 .9 8 47 8 24 .5 3 59 6 10 .4 11 0 0. 3 94 0. 3 34 5 92 10 0. 0 97 2 Y li- Ii 54 7 1. 1 3 15 1 6. 3 7 12 7 14 .2 25 1 06 50 .0 9 15 8 18 .2 5 09 0 10 .1 36 0. 1 49 0. 1 50 2 63 10 0. 0 97 7 Y liv ie sk a 58 4 1. 4 4 28 6 10 .6 3 96 8 9. 8 16 1 16 39 .7 11 9 06 29 .3 3 56 6 8. 8 77 0. 2 82 0. 2 40 5 85 10 0. 0 To ta l 33 5 24 1. 4 18 3 32 1 7. 9 28 4 09 9 12 .2 1 06 6 15 4 45 .8 48 5 02 2 20 .8 26 9 03 2 11 .6 3 14 0 0. 1 4 36 3 0. 2 2 32 8 65 6 10 0. 0 La pl an d 04 7 E no nt ek iö 18 8 0. 3 2 02 9 3. 1 3 33 8 5. 1 23 3 19 35 .3 10 6 03 16 .0 26 3 35 39 .8 17 0 0. 3 17 4 0. 3 66 1 57 10 0. 0 14 8 In ar i 70 0 0. 2 13 9 92 3. 6 61 1 18 15 .8 10 7 92 9 27 .9 40 1 72 10 .4 14 3 57 2 37 .1 3 88 6 1. 0 15 6 99 4. 1 38 7 06 8 10 0. 0 24 0 K em i 12 7 2. 1 59 9 9. 9 91 8 15 .2 2 20 4 36 .4 1 17 9 19 .5 94 8 15 .7 0 0. 0 72 1. 2 6 04 6 10 0. 0 24 1 K em in m aa 67 1 1. 7 2 94 2 7. 3 5 15 3 12 .8 18 4 48 46 .0 7 20 2 17 .9 5 40 2 13 .5 34 0. 1 29 2 0. 7 40 1 43 10 0. 0 26 1 K itt ilä 3 53 7 0. 9 26 1 10 6. 9 34 4 98 9. 1 17 2 98 6 45 .4 70 7 55 18 .6 66 8 05 17 .5 58 6 0. 2 5 62 1 1. 5 38 0 89 8 10 0. 0 27 3 K ol ar i 1 30 5 0. 8 12 3 10 7. 4 21 1 71 12 .8 73 5 61 44 .3 33 4 08 20 .1 21 7 81 13 .1 96 0. 1 2 29 1 1. 4 16 5 92 2 10 0. 0 32 0 K em ijä rv i 1 26 5 0. 5 16 7 94 6. 9 27 0 22 11 .0 12 6 63 3 51 .7 39 9 92 16 .3 29 5 04 12 .1 11 7 0. 1 3 50 6 1. 4 24 4 83 3 10 0. 0 49 8 M uo ni o 1 55 4 1. 5 6 52 6 6. 4 8 74 2 8. 6 40 9 25 40 .3 13 1 66 13 .0 27 6 95 27 .3 22 5 0. 2 2 61 4 2. 6 10 1 44 7 10 0. 0 58 3 P el ko se nn ie m i 33 2 0. 3 6 45 6 6. 1 14 1 85 13 .3 57 1 99 53 .6 12 1 70 11 .4 15 3 32 14 .4 11 8 0. 1 84 6 0. 8 10 6 63 8 10 0. 0 61 4 P os io 1 63 1 0. 9 15 4 21 8. 7 22 0 15 12 .5 80 2 02 45 .4 29 6 05 16 .8 26 9 28 15 .3 49 0. 0 71 8 0. 4 17 6 57 0 10 0. 0 68 3 R an ua 1 43 9 0. 7 14 2 07 7. 0 32 8 26 16 .2 10 9 44 5 53 .9 28 5 42 14 .1 16 2 40 8. 0 11 1 0. 1 19 2 0. 1 20 3 00 1 10 0. 0 69 8 R ov an ie m i 4 38 9 0. 8 46 3 62 8. 8 70 7 89 13 .4 26 2 32 3 49 .8 73 3 10 13 .9 62 1 06 11 .8 82 8 0. 2 6 46 8 1. 2 52 6 57 4 10 0. 0 73 2 S al la 2 41 0 0. 8 21 3 79 6. 8 38 0 11 12 .0 14 6 26 1 46 .3 30 9 53 9. 8 73 6 82 23 .3 24 8 0. 1 3 30 4 1. 0 31 6 24 8 10 0. 0 74 2 S av uk os ki 2 83 9 0. 9 39 1 17 11 .7 40 4 55 12 .1 14 7 37 3 44 .2 38 1 85 11 .5 54 5 66 16 .4 90 5 0. 3 9 73 2 2. 9 33 3 17 2 10 0. 0 75 1 S im o 92 3 1. 2 5 52 8 7. 2 11 2 42 14 .6 38 3 19 49 .6 12 9 05 16 .7 7 87 0 10 .2 52 0. 1 42 6 0. 6 77 2 65 10 0. 0 75 8 S od an ky lä 4 44 7 0. 9 51 3 07 10 .4 62 8 94 12 .8 21 6 19 2 43 .9 54 7 97 11 .1 91 5 80 18 .6 96 4 0. 2 10 0 47 2. 0 49 2 22 7 10 0. 0 84 5 Te rv ol a 1 32 3 1. 3 9 76 4 9. 6 12 0 50 11 .8 50 8 81 49 .8 15 1 42 14 .8 12 5 22 12 .3 62 0. 1 35 8 0. 4 10 2 10 2 10 0. 0 85 1 To rn io 64 2 0. 8 5 59 7 7. 2 11 8 24 15 .2 33 2 13 42 .6 15 7 31 20 .2 10 2 82 13 .2 36 7 0. 5 35 8 0. 5 78 0 15 10 0. 0 85 4 P el lo 1 12 2 0. 9 9 12 0 6. 9 17 8 37 13 .6 72 6 67 55 .2 14 5 71 11 .1 12 6 98 9. 7 44 9 0. 3 3 15 4 2. 4 13 1 61 8 10 0. 0 89 0 U ts jo ki 0 0. 0 45 1. 6 83 2. 9 2 32 2 81 .8 87 3. 1 21 4 7. 6 1 0. 1 88 3. 1 2 84 0 10 0. 0 97 6 Y lit or ni o 1 50 4 1. 1 13 0 36 9. 5 21 4 60 15 .7 71 9 98 52 .6 16 1 81 11 .8 11 5 02 8. 4 18 0. 0 1 26 9 0. 9 13 6 96 7 10 0. 0 To ta l 32 3 47 0. 8 31 8 64 3 7. 8 51 7 63 1 12 .7 1 85 4 40 2 45 .5 55 8 65 5 13 .7 71 7 56 1 17 .6 9 28 6 0. 2 67 2 28 1. 7 4 07 5 75 2 10 0. 0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 156 Table 5d. The mean volume of growing stock in development classes on forest land by forestry centres. Forestry centre Open regeneration site Young seedling stand Advanced seedling stand Young thinning stand Advanced thinning stand Mature stand Shelterwood stand Seed tree stand Forest land total Municipality m3/ha Åland 035 Brändö 2.8 26.3 40.9 102.6 189.7 197.6 140.3 116.9 128.4 043 Eckerö 7.8 19.2 32.5 119.9 187.0 240.5 139.9 74.0 153.3 060 Finström 5.1 18.9 32.0 122.4 200.6 239.0 184.3 77.5 155.0 062 Föglö 3.0 26.4 30.3 114.1 179.7 221.5 164.3 85.2 151.4 065 Geta 5.6 25.6 29.9 115.6 179.5 225.1 134.3 78.7 149.4 076 Hammarland 6.2 19.6 30.1 122.0 194.7 239.9 152.7 79.3 153.6 170 Jomala 4.5 16.3 31.6 121.2 190.8 243.7 145.5 68.8 149.5 295 Kumlinge 2.9 23.6 39.5 95.9 164.1 186.6 238.0 127.6 131.5 318 Kökar 1.9 0.0 22.8 150.7 110.6 134.2 – 0.0 132.1 417 Lemland 4.8 20.7 30.9 124.5 198.9 237.4 194.0 73.7 153.6 438 Lumparland 2.6 30.0 31.4 116.1 183.1 233.8 172.4 78.4 157.2 478 Mariehamn-Maarianhamina 4.4 24.4 33.2 111.8 181.7 217.0 97.4 68.5 123.8 736 Saltvik 4.7 21.8 32.4 119.5 180.3 230.0 161.7 78.3 158.4 766 Sottunga 0.0 29.8 33.8 106.0 182.8 198.1 144.8 105.7 136.4 771 Sund 5.2 21.9 33.6 119.9 182.8 236.7 144.3 76.7 156.3 941 Vårdö 4.2 25.5 34.0 117.3 170.2 227.5 130.7 72.1 157.0 Total 5.0 21.1 32.7 118.8 185.9 230.7 159.1 81.6 151.5 Rannikko/Etelärannikko 049 Espoo-Esbo 18.3 21.2 33.9 121.8 201.9 241.5 123.8 64.8 156.2 078 Hanko-Hangö 28.6 30.4 39.1 113.6 176.3 244.1 70.2 57.3 165.0 091 Helsinki-Helsingfors 9.5 11.9 28.3 119.0 203.8 260.0 135.0 66.8 148.0 092 Vantaa-Vanda 20.8 14.3 29.1 125.6 218.8 254.3 133.9 70.5 148.0 149 Ingå-Inkoo 11.0 16.5 33.3 112.2 195.2 244.6 99.5 62.0 145.4 235 Kauniainen-Grankulla 17.0 19.7 29.0 122.2 197.3 233.8 128.9 80.1 154.0 257 Kirkkonummi-Kyrkslätt 10.1 18.0 33.6 116.1 190.5 230.9 115.6 57.0 135.7 322 Kemiönsaari 7.4 19.5 28.6 112.0 173.5 221.1 73.4 53.6 145.6 407 Lapinjärvi-Lappträsk 14.5 30.8 40.1 128.3 207.4 259.2 122.4 57.3 168.0 424 Liljendal 13.8 27.0 35.5 127.5 205.7 250.6 107.5 63.4 162.8 434 Loviisa-Lovisa 4.5 25.3 35.4 125.0 204.0 257.6 138.6 78.2 172.3 444 Länsi-Turunmaa 8.1 27.6 30.6 108.6 174.8 211.5 80.8 56.9 138.0 585 Pernå-Pernaja 9.1 23.1 36.2 127.0 205.8 257.2 122.0 63.2 164.0 638 Porvoo-Borgå 12.1 27.2 37.8 125.9 207.9 254.0 121.0 69.5 165.8 701 Ruotsinpyhtää-Strömfors 11.0 22.2 39.3 126.8 206.1 254.0 136.1 47.4 160.2 710 Raasepori 12.9 18.0 33.6 116.7 188.7 239.0 80.0 52.9 161.5 753 Sipoo-Sibbo 17.8 29.9 33.8 128.3 217.9 268.9 126.9 52.0 174.7 755 Siuntio-Sjundeå 12.4 16.6 33.6 121.7 204.1 237.0 99.6 53.3 132.2 Total 11.3 21.1 33.9 119.9 194.7 240.9 105.0 57.8 154.9 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 12.5 8.6 23.6 84.9 171.2 183.1 92.5 16.1 87.6 280 Korsnäs 6.4 14.0 25.8 102.0 159.7 203.3 70.1 44.2 113.7 287 Kristinestad-Kristiinankaupunki 4.7 8.9 24.1 95.4 153.3 194.9 81.0 25.7 109.8 288 Kronoby-Kruunupyy 6.6 4.7 29.2 96.1 156.5 191.7 141.7 4.0 105.5 440 Larsmo-Luoto 12.5 4.5 30.7 99.5 160.4 205.4 136.9 0.0 102.6 475 Malax-Maalahti 6.4 18.2 26.9 101.9 154.7 202.5 85.1 41.9 114.6 499 Korsholm-Mustasaari 6.3 15.3 26.7 113.3 162.9 206.4 87.4 36.1 126.7 545 Närpes-Närpiö 5.8 8.8 25.2 93.8 160.1 185.9 92.9 32.3 108.5 559 Oravais-Oravainen 8.6 14.4 29.0 105.7 155.1 196.6 96.6 28.2 105.1 598 Jakobstad-Pietarsaari 6.4 6.3 31.6 100.2 163.6 165.4 136.4 3.4 98.1 599 Pedersöre-Pedersören kunta 7.9 4.3 29.9 95.4 159.9 192.6 141.7 0.0 105.3 893 Nykarleby-Uusikaarlepyy 10.4 12.9 29.5 101.4 154.1 187.0 94.2 26.0 110.7 905 Vaasa-Vasa 10.0 14.1 28.3 110.3 172.1 224.5 86.8 39.8 133.0 945 Vörå-Maxmo Vöyri-Maksamaa 7.1 16.6 27.5 105.1 156.4 200.6 93.5 30.8 109.7 Total 7.1 10.5 27.6 100.1 158.1 196.2 96.2 32.7 111.3 Lounais-Suomi 019 Aura 12.5 18.2 27.8 113.9 187.7 236.3 90.6 48.4 144.2 050 Eura 38.9 20.6 32.5 107.3 173.5 227.9 100.4 40.3 139.6 051 Eurajoki 0.0 15.9 24.8 113.4 170.1 242.5 102.9 61.9 135.4 079 Harjavalta 0.0 12.2 34.1 123.2 164.4 223.6 101.0 48.7 135.1 099 Honkajoki 1.0 6.9 22.0 78.9 132.2 162.7 127.2 30.1 91.1 102 Huittinen 29.2 9.6 36.5 125.5 189.5 255.3 163.8 48.5 141.3 181 Jämijärvi 1.8 8.1 18.9 97.4 158.2 217.7 117.9 28.5 113.7 202 Kaarina 10.1 16.2 28.3 114.0 182.5 225.1 87.9 56.3 138.9 214 Kankaanpää 2.0 9.2 19.3 88.6 143.7 198.4 89.3 30.1 105.4 230 Karvia 1.2 6.6 23.8 80.4 133.6 175.5 145.4 28.8 94.9 254 Kiikoinen 0.2 11.9 25.6 116.7 188.7 221.5 137.0 33.3 130.3 271 Kokemäki 3.5 11.7 32.3 114.8 170.4 230.0 105.0 45.8 131.1 284 Koski T.l. 11.2 20.6 42.2 116.6 201.8 332.4 111.9 78.3 158.2 304 Kustavi 7.1 22.8 28.0 101.8 160.9 200.1 88.4 55.0 117.0 319 Köyliö 0.0 14.9 27.1 104.1 166.0 237.8 114.2 48.8 142.3 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 157 Table 5d. Continued Forestry centre Open regeneration site Young seedling stand Advanced seedling stand Young thinning stand Advanced thinning stand Mature stand Shelterwood stand Seed tree stand Forest land total Municipality m3/ha 400 Laitila 24.5 24.1 26.8 97.2 167.1 207.5 75.3 31.1 130.1 413 Lavia 1.6 20.6 26.1 109.8 179.9 226.4 136.4 33.1 132.9 423 Lieto 9.5 20.3 28.1 113.3 184.8 230.5 86.8 50.6 150.5 430 Loimaa 7.9 18.9 31.0 119.9 189.8 283.7 115.2 55.0 153.0 442 Luvia 1.0 9.8 32.1 118.1 204.9 252.6 248.6 83.3 161.8 480 Marttila 12.4 16.1 29.7 112.8 186.5 238.6 89.3 50.3 145.7 481 Masku 8.0 14.9 26.4 109.8 178.1 219.9 91.1 51.7 133.4 484 Merikarvia 3.1 10.9 22.1 95.7 166.4 231.5 75.8 29.8 124.3 503 Mynämäki 12.6 19.0 29.5 108.0 174.9 221.0 93.1 51.0 139.2 529 Naantali 6.8 22.3 28.3 106.1 167.7 204.2 88.6 52.0 130.6 531 Nakkila 0.0 6.3 30.4 122.3 196.0 224.8 104.7 61.5 143.6 537 Noormarkku 6.2 11.8 35.2 117.2 180.9 227.3 137.3 64.9 141.7 538 Nousiainen 8.9 16.9 28.0 112.0 182.6 228.2 87.2 49.9 145.4 561 Oripää 4.4 11.0 28.6 109.8 175.0 231.3 107.8 51.0 141.0 577 Paimio 11.1 19.6 28.6 115.0 181.9 226.4 77.2 52.3 151.4 608 Pomarkku 8.5 14.4 34.8 111.2 179.9 233.4 106.7 43.5 149.3 609 Pori 10.3 6.9 35.1 124.9 197.1 224.1 146.8 74.2 150.5 631 Pyhäranta 10.0 20.0 24.8 109.8 187.6 228.1 86.7 44.4 142.6 636 Pöytyä 15.2 19.9 30.5 107.0 180.8 228.8 90.0 47.0 147.6 680 Raisio 11.8 13.5 26.8 112.8 174.1 217.5 95.9 54.8 132.5 684 Rauma 13.6 19.9 27.4 96.9 181.1 219.8 100.2 54.3 135.8 704 Rusko 11.7 18.2 29.5 115.0 181.6 223.9 85.8 50.2 148.2 734 Salo 10.6 19.0 30.6 115.0 187.9 237.1 75.9 50.0 156.1 738 Sauvo 9.0 20.3 28.4 112.7 179.8 219.4 82.9 54.1 142.1 747 Siikainen 3.0 12.7 21.0 94.9 156.3 220.4 70.0 31.2 122.3 761 Somero 32.8 24.6 38.0 109.3 198.1 283.1 113.3 83.5 147.6 783 Säkylä 18.2 20.6 30.6 97.4 169.7 225.4 132.7 28.0 132.3 833 Taivassalo 4.4 18.8 26.6 103.2 167.5 200.2 93.7 53.3 120.2 838 Tarvasjoki 10.1 19.2 30.0 116.4 191.2 237.9 90.6 47.9 152.4 853 Turku-Åbo 12.0 14.4 27.0 114.4 178.7 224.1 96.8 59.3 136.1 886 Ulvila 0.0 11.5 36.1 118.7 181.6 220.8 84.7 43.5 139.0 895 Uusikaupunki 2.7 22.5 29.0 105.4 167.4 205.7 83.1 51.7 125.3 918 Vehmaa 8.3 18.0 26.7 104.2 166.8 205.5 86.1 51.8 117.8 Total 8.8 15.5 29.1 106.9 175.8 227.5 89.0 50.3 136.0 Häme-Uusimaa 015 Artjärvi 18.6 22.1 36.4 125.2 213.1 267.5 129.0 54.1 156.5 016 Asikkala 14.3 18.4 35.5 118.8 210.9 277.2 129.0 52.4 155.7 018 Askola 16.2 25.2 34.6 131.1 211.6 261.9 132.0 44.8 161.3 061 Forssa 41.8 19.2 42.2 104.3 219.4 281.6 162.0 39.9 158.9 081 Hartola 19.4 19.3 31.6 115.6 211.9 266.6 209.5 76.0 155.5 082 Hattula 12.6 15.6 34.9 120.5 203.0 253.8 116.6 53.3 139.8 086 Hausjärvi 28.1 15.1 29.3 132.4 203.4 268.2 155.0 98.5 142.5 098 Hollola 25.9 16.3 34.1 115.9 210.0 279.9 136.2 97.4 149.0 103 Humppila 10.2 30.0 33.1 108.2 216.9 292.0 – 58.1 169.0 106 Hyvinkää 24.1 17.4 29.3 127.8 200.4 253.2 135.8 96.2 144.7 109 Hämeenlinna 19.0 15.3 33.9 123.0 213.0 269.3 121.0 48.9 152.9 111 Heinola 20.0 17.1 30.6 107.5 199.8 273.4 126.2 69.7 150.6 165 Janakkala 14.3 13.8 32.5 127.5 204.7 265.9 106.7 79.1 149.9 169 Jokioinen 17.0 21.8 43.2 89.4 226.4 262.7 3.3 36.1 144.7 186 Järvenpää 22.0 15.3 28.9 133.8 221.7 252.9 130.3 71.9 131.8 223 Karjalohja 14.6 14.6 33.2 111.9 209.1 252.8 113.5 53.5 130.2 224 Karkkila 15.7 20.3 36.1 126.2 213.6 261.2 122.8 38.0 157.3 245 Kerava 19.8 16.7 27.0 130.3 220.8 252.2 122.6 69.4 142.2 283 Hämeenkoski 32.8 14.5 32.3 123.5 219.6 280.9 119.5 135.3 147.1 316 Kärkölä 34.7 13.3 33.1 116.2 214.4 281.9 151.2 131.9 139.0 398 Lahti 10.3 20.0 35.2 110.1 202.1 266.3 79.1 48.7 135.7 433 Loppi 12.8 15.2 32.7 118.3 202.8 255.0 104.8 58.3 143.6 444 Lohja 17.3 15.7 32.6 118.1 210.1 246.2 106.7 58.3 127.8 504 Myrskylä-Mörskom 17.8 28.5 36.8 128.9 212.2 257.5 137.9 61.3 161.6 505 Mäntsälä 35.6 17.2 30.5 126.6 213.0 280.8 166.0 111.8 153.6 532 Nastola 14.3 16.6 36.6 111.7 208.3 267.3 172.4 80.5 147.5 540 Nummi-Pusula 14.7 17.0 34.2 119.2 210.1 248.8 117.7 64.7 140.0 543 Nurmijärvi 18.9 19.6 29.6 126.8 212.6 249.5 131.5 47.8 130.8 560 Orimattila 27.0 18.6 31.8 117.7 199.3 268.1 115.0 75.9 136.3 576 Padasjoki 15.7 18.5 40.7 121.3 206.2 267.6 94.3 53.1 158.0 611 Pornainen 19.2 28.7 36.7 130.1 211.9 254.7 125.3 56.7 159.0 616 Pukkila 19.0 23.8 35.9 129.7 215.7 260.9 123.9 29.3 152.9 694 Riihimäki 19.9 16.1 27.2 125.3 203.7 265.2 163.1 71.1 136.3 781 Sysmä 11.8 19.0 32.2 119.3 210.7 276.9 147.8 91.9 161.5 834 Tammela 17.2 25.4 38.0 112.4 211.8 269.4 149.8 35.0 158.7 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 158 Table 5d. Continued Forestry centre Open regeneration site Young seedling stand Advanced seedling stand Young thinning stand Advanced thinning stand Mature stand Shelterwood stand Seed tree stand Forest land total Municipality m3/ha 858 Tuusula 19.1 19.1 29.6 130.2 227.9 270.6 138.7 49.9 147.2 927 Vihti 19.4 20.4 35.9 126.0 209.0 247.2 123.7 58.7 148.0 981 Ypäjä 18.2 28.1 40.8 96.2 219.5 282.5 – 45.2 162.2 Total 19.5 17.8 33.7 119.7 209.5 267.5 129.9 58.8 150.1 Kaakkois-Suomi 075 Hamina 9.4 8.6 25.6 116.5 184.4 257.3 143.9 29.4 131.7 142 Iitti 17.2 18.3 33.6 113.4 207.1 270.9 157.5 67.4 157.3 153 Imatra 22.3 8.5 26.7 122.6 210.7 278.8 101.6 42.1 149.7 285 Kotka 10.0 11.9 24.9 106.4 184.5 240.2 117.0 36.3 118.8 286 Kouvola 14.5 13.3 28.3 111.2 191.4 270.2 146.1 88.5 149.2 405 Lappeenranta 12.5 7.5 25.5 112.0 193.7 271.2 135.6 38.7 135.0 416 Lemi 4.1 7.2 23.5 108.5 191.5 276.8 101.2 51.9 132.1 441 Luumäki 10.3 7.2 25.0 111.5 184.3 269.2 143.5 39.2 136.4 489 Miehikkälä 7.8 7.5 25.9 114.8 178.8 273.9 262.9 29.4 137.7 580 Parikkala 12.7 8.8 29.2 112.7 205.2 269.8 95.4 41.8 138.7 624 Pyhtää-Pyttis 16.3 20.4 41.2 123.7 203.7 258.4 150.4 94.7 162.6 689 Rautjärvi 32.6 8.4 31.6 118.6 204.6 278.5 111.3 34.3 147.3 700 Ruokolahti 13.8 9.4 28.6 110.0 187.9 259.6 87.1 41.3 142.2 739 Savitaipale 2.4 8.4 23.2 108.3 181.0 253.4 96.9 45.2 128.9 775 Suomenniemi 9.3 12.0 27.7 111.9 178.1 252.5 125.8 113.6 139.4 831 Taipalsaari 1.6 9.3 24.5 116.6 177.6 236.6 79.5 37.1 132.2 935 Virolahti 6.6 7.1 26.6 114.0 176.9 281.1 262.0 22.2 132.7 978 Ylämaa 9.0 8.6 25.6 116.8 182.2 268.3 230.3 31.2 142.4 Total 11.8 10.0 27.4 112.7 190.0 266.1 164.6 50.2 141.0 Pirkanmaa 020 Akaa 13.9 18.9 35.5 116.7 202.6 270.2 161.6 35.8 135.9 108 Hämeenkyrö 8.1 17.7 34.8 112.1 197.8 250.1 106.5 52.3 140.6 143 Ikaalinen 4.6 13.7 29.6 103.1 175.0 233.9 92.9 49.8 126.5 177 Juupajoki 7.9 14.9 31.7 108.7 195.3 254.7 91.0 46.8 143.3 211 Kangasala 7.4 17.9 29.2 105.8 194.7 239.4 137.9 67.0 141.8 250 Kihniö 1.9 8.1 25.2 93.7 150.3 203.2 152.6 31.0 116.8 289 Kuhmalahti 11.4 16.0 36.8 119.3 198.6 258.8 94.1 44.2 137.4 310 Kylmäkoski 40.9 20.4 45.5 102.2 212.9 262.1 162.0 40.6 148.3 418 Lempäälä 3.9 18.8 25.8 98.4 215.6 239.8 160.6 81.5 147.3 508 Mänttä-Vilppula 7.9 12.6 32.3 114.0 198.4 263.9 98.8 47.2 153.1 536 Nokia 3.0 24.4 32.2 105.6 193.6 248.4 126.2 55.7 141.9 562 Orivesi 8.3 17.4 33.1 111.5 200.8 263.2 94.4 51.8 148.8 581 Parkano 2.4 8.8 20.7 92.9 146.4 193.0 141.9 31.1 111.1 604 Pirkkala 2.7 14.8 26.2 104.3 217.6 252.2 161.4 79.6 142.3 619 Punkalaidun 23.6 25.4 33.7 114.8 207.1 295.3 163.4 75.7 160.2 635 Pälkäne 18.3 17.4 34.2 132.8 208.2 271.5 117.6 57.3 161.1 702 Ruovesi 5.4 13.7 30.3 111.9 194.1 253.2 92.6 45.9 150.4 790 Sastamala 29.5 22.4 34.6 118.2 188.5 247.3 105.9 44.2 139.2 837 Tampere 9.7 16.8 33.9 114.5 201.1 260.2 104.8 55.0 153.8 887 Urjala 31.3 25.6 41.2 106.9 217.6 277.0 162.0 57.1 158.0 908 Valkeakoski 6.6 21.8 31.2 116.7 207.0 265.7 153.5 40.3 151.7 922 Vesilahti 14.4 22.8 38.1 108.0 198.5 271.6 150.5 50.6 150.3 936 Virrat 1.2 7.3 21.8 96.4 162.8 220.0 140.6 28.4 124.5 980 Ylöjärvi 6.0 14.5 30.8 106.9 182.7 240.4 100.2 46.2 141.4 Total 9.7 15.8 31.1 107.8 187.3 245.4 119.9 48.2 140.0 Etelä-Savo 046 Enonkoski 19.7 10.4 28.6 113.5 201.6 273.9 95.8 42.1 138.7 090 Heinävesi 16.7 11.8 25.3 109.3 193.9 272.0 90.8 32.4 135.8 097 Hirvensalmi 20.7 19.5 35.0 108.5 202.1 281.2 146.7 75.8 152.6 171 Joroinen 7.6 11.4 25.8 102.5 189.5 273.9 – 57.7 134.7 178 Juva 22.9 12.7 27.6 107.4 188.1 273.9 132.7 84.7 141.6 213 Kangasniemi 52.8 11.1 28.1 98.7 187.5 269.6 98.7 32.9 130.2 246 Kerimäki 14.6 9.2 30.3 111.0 200.8 273.4 94.4 49.5 140.6 491 Mikkeli 22.6 13.4 29.0 104.3 193.1 276.1 133.5 77.7 139.4 507 Mäntyharju 14.3 13.6 29.4 109.1 185.8 265.6 128.3 98.7 144.9 588 Pertunmaa 27.5 18.8 32.4 110.5 204.8 281.6 163.4 67.7 147.7 593 Pieksämäki 14.5 10.1 24.0 105.2 177.9 255.0 65.3 20.1 128.3 618 Punkaharju 5.4 9.2 31.7 112.7 199.5 282.4 94.0 46.7 148.9 623 Puumala 1.1 11.6 23.0 121.2 177.9 237.8 79.8 38.0 135.7 681 Rantasalmi 17.7 9.6 27.0 110.4 197.0 269.8 91.8 54.3 129.8 696 Ristiina 17.7 14.2 28.7 109.3 193.2 267.5 131.2 101.7 148.9 740 Savonlinna 12.2 10.7 29.9 112.2 198.3 267.6 87.4 46.3 142.1 768 Sulkava 3.6 10.1 26.6 110.0 191.7 259.2 86.6 45.9 133.8 Total 17.6 12.0 27.8 108.2 190.9 268.0 124.0 56.5 138.3 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 159 Table 5d. Continued Forestry centre Open regeneration site Young seedling stand Advanced seedling stand Young thinning stand Advanced thinning stand Mature stand Shelterwood stand Seed tree stand Forest land total Municipality m3/ha Etelä-Pohjanmaa 005 Alajärvi 3.7 5.5 22.7 82.1 144.0 196.7 99.3 30.6 103.1 010 Alavus 1.0 5.5 25.0 80.2 150.0 189.9 151.1 24.2 101.9 052 Evijärvi 5.4 5.2 24.4 87.8 151.9 190.8 156.9 13.6 94.7 074 Halsua 5.9 11.1 24.2 72.8 127.7 176.1 155.0 11.1 90.8 095 Himanka 6.2 5.3 23.9 87.7 145.0 190.0 155.0 18.5 99.0 145 Ilmajoki 0.7 5.7 22.6 91.0 149.6 181.6 90.5 26.1 101.1 151 Isojoki 2.0 6.7 24.3 85.7 138.1 185.4 91.5 28.8 103.8 152 Isokyrö 5.0 12.1 25.6 92.4 141.8 189.0 107.2 38.3 97.1 164 Jalasjärvi 1.0 5.9 22.8 84.7 144.1 193.2 136.4 27.2 97.1 217 Kannus 9.7 7.7 24.6 82.1 135.0 173.5 155.0 16.5 91.6 218 Karijoki 4.4 7.9 28.0 90.8 145.0 185.5 97.5 20.8 105.7 232 Kauhajoki 0.9 5.3 21.5 79.3 125.9 179.6 94.8 23.1 89.4 233 Kauhava 3.8 5.3 23.2 91.4 143.7 181.7 154.2 13.7 96.7 236 Kaustinen 6.2 5.5 23.2 84.1 142.7 183.3 155.3 17.2 95.3 272 Kokkola-Karleby 7.0 6.2 25.5 87.4 146.7 184.9 143.7 14.7 97.4 300 Kuortane 0.7 5.0 20.2 80.6 148.3 214.3 137.0 23.8 106.5 301 Kurikka 2.3 6.5 23.5 89.6 145.1 180.9 95.7 31.2 97.9 399 Laihia 4.4 12.4 26.4 96.9 151.4 197.4 107.5 44.7 109.7 403 Lappajärvi 2.0 6.2 23.8 90.3 145.6 180.8 155.1 13.8 103.2 408 Lapua 4.7 5.9 25.9 90.2 150.3 191.3 157.3 14.9 105.2 421 Lestijärvi 7.1 6.9 23.2 83.5 135.4 167.8 41.3 25.9 89.8 584 Perho 9.8 6.1 21.5 81.6 137.2 173.8 43.9 25.6 94.8 743 Seinäjoki 1.1 7.1 24.6 85.5 145.0 183.0 104.1 28.4 94.2 759 Soini 2.8 5.3 24.8 86.2 146.2 197.1 93.1 34.7 106.2 846 Teuva 3.9 7.8 26.5 89.7 144.7 175.5 97.9 33.1 99.3 849 Toholampi 9.5 9.1 23.1 78.8 134.9 181.2 155.0 14.3 91.5 863 Töysä 1.0 5.5 17.5 78.3 149.6 210.0 137.0 23.4 111.1 924 Veteli 9.2 5.9 22.9 82.6 145.7 186.4 155.0 12.1 98.1 934 Vimpeli 18.8 6.4 22.9 82.7 148.0 188.8 155.0 14.5 101.0 942 Vähäkyrö 4.2 14.6 24.3 101.4 145.5 217.1 93.8 43.0 99.7 989 Ähtäri 2.6 5.1 22.9 93.3 151.8 214.2 131.4 37.8 114.3 Total 3.8 6.6 23.7 85.7 143.9 187.5 105.5 27.6 99.2 Keski-Suomi 077 Hankasalmi 25.4 9.5 26.5 97.3 183.8 272.4 84.1 32.8 125.2 172 Joutsa 19.4 22.0 30.0 108.0 204.4 262.3 153.3 76.7 146.7 179 Jyväskylä 9.6 13.9 28.1 100.0 193.4 261.9 111.6 44.5 131.2 182 Jämsä 13.9 10.9 25.4 96.3 174.5 254.6 87.5 19.6 123.2 216 Kannonkoski 9.2 6.4 25.2 98.3 155.2 220.6 84.7 29.5 121.5 226 Karstula 4.5 5.9 26.8 90.5 151.3 208.1 70.6 29.0 114.0 249 Keuruu 4.0 8.9 26.1 100.0 169.0 233.9 102.2 43.4 130.8 256 Kinnula 9.5 6.4 24.2 88.8 143.8 190.6 62.3 24.8 103.5 265 Kivijärvi 6.9 6.3 24.3 93.3 151.9 212.5 64.7 27.2 112.9 275 Konnevesi 8.6 6.6 26.8 102.4 190.6 274.6 – 38.6 130.6 291 Kuhmoinen 8.7 13.8 26.8 99.3 190.8 267.0 130.7 47.0 134.3 312 Kyyjärvi 4.1 5.9 26.7 83.7 146.2 187.4 70.2 32.0 104.8 410 Laukaa 14.1 11.1 26.0 98.7 176.5 260.6 85.2 32.6 119.5 435 Luhanka 11.5 16.1 35.9 107.2 216.6 258.8 151.9 44.0 149.9 495 Multia 4.2 6.4 25.8 89.1 151.6 217.3 76.6 31.6 118.3 500 Muurame 7.3 13.4 30.4 102.9 203.3 277.2 96.8 45.7 136.8 592 Petäjävesi 13.0 9.1 25.7 94.0 168.0 241.1 81.7 26.6 117.1 601 Pihtipudas 9.2 6.1 28.1 95.8 137.4 193.9 61.0 22.8 104.2 729 Saarijärvi 5.2 5.9 26.4 95.6 158.5 226.2 81.0 30.5 120.9 850 Toivakka 14.5 15.6 26.0 104.3 191.8 241.8 117.0 39.4 125.0 892 Uurainen 11.7 9.5 25.6 91.8 164.1 243.8 82.7 37.2 115.5 931 Viitasaari 14.2 7.3 21.1 94.3 166.7 233.6 36.1 20.7 113.9 992 Äänekoski 12.4 7.1 25.0 99.1 180.3 261.6 48.0 24.6 128.6 Total 10.1 9.9 26.2 96.2 169.9 240.5 92.6 36.2 122.4 Pohjois-Savo 140 Iisalmi 4.0 9.9 22.0 100.3 175.0 244.9 – 10.3 107.7 174 Juankoski 8.4 10.0 22.5 97.4 175.9 261.0 38.6 11.7 118.3 204 Kaavi 10.5 6.9 22.0 96.8 164.9 248.0 59.5 8.1 119.7 227 Karttula 12.0 10.7 25.3 104.5 186.8 274.9 67.0 39.3 129.5 239 Keitele 12.8 10.2 29.6 92.4 174.2 262.2 36.6 18.3 117.9 263 Kiuruvesi 7.1 7.9 24.4 89.5 150.1 214.5 32.0 14.7 100.1 297 Kuopio 3.4 10.5 23.4 110.2 203.2 273.7 – 13.7 138.7 402 Lapinlahti 5.4 9.6 22.0 102.4 175.9 255.2 – 8.7 115.2 420 Leppävirta 3.2 9.8 22.7 115.1 195.9 277.3 – 13.9 144.1 476 Maaninka 4.2 9.1 21.9 103.6 178.8 269.9 – 15.4 122.0 534 Nilsiä 7.8 11.6 21.5 98.5 179.1 261.6 32.3 12.6 119.8 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 160 Table 5d. Continued Forestry centre Open regeneration site Young seedling stand Advanced seedling stand Young thinning stand Advanced thinning stand Mature stand Shelterwood stand Seed tree stand Forest land total Municipality m3/ha 595 Pielavesi 7.6 10.4 23.7 98.8 170.8 250.1 32.0 15.1 119.2 686 Rautalampi 13.8 9.4 24.0 105.7 180.9 264.5 69.6 18.3 127.0 687 Rautavaara 6.1 8.1 23.3 87.8 146.2 214.9 42.6 9.6 107.7 749 Siilinjärvi 4.2 9.3 21.2 102.8 187.3 274.3 – 11.0 118.6 762 Sonkajärvi 5.6 7.9 22.9 88.2 147.7 213.1 40.2 7.6 100.2 778 Suonenjoki 14.9 8.8 24.0 105.5 181.1 264.9 65.9 25.0 130.9 844 Tervo 12.1 9.2 25.2 101.3 184.4 269.5 68.9 22.8 122.1 857 Tuusniemi 4.1 10.2 23.2 108.0 195.3 274.0 – 15.0 133.7 915 Varkaus 3.6 9.3 25.5 114.1 196.6 273.4 – 23.4 147.6 916 Varpaisjärvi 7.8 11.3 21.4 94.3 168.0 254.7 32.5 9.9 108.4 921 Vesanto 12.3 9.6 25.7 97.1 179.2 269.9 68.5 18.7 123.2 925 Vieremä 7.1 8.7 23.4 89.9 152.0 206.2 34.3 12.3 99.9 Total 7.4 9.4 23.4 98.3 172.3 255.2 40.6 13.8 118.8 Pohjois-Karjala 146 Ilomantsi 4.1 10.4 20.9 90.6 150.4 243.2 – 14.2 108.1 167 Joensuu 9.8 7.5 21.2 95.2 168.8 261.4 86.0 18.4 121.5 176 Juuka 6.2 8.0 21.9 93.1 156.1 235.9 – 19.9 113.1 248 Kesälahti 5.8 9.8 24.3 99.4 184.3 246.7 – 43.8 128.8 260 Kitee 12.7 8.1 23.1 96.9 184.2 250.9 – 39.7 125.6 276 Kontiolahti 6.1 8.8 22.5 94.4 171.1 241.8 86.0 19.1 117.9 309 Outokumpu 9.7 11.4 21.4 100.5 187.7 237.7 86.0 17.7 123.1 422 Lieksa 5.3 13.1 20.1 89.1 151.7 227.0 – 16.6 102.7 426 Liperi 8.3 10.7 20.8 102.4 197.2 256.0 86.0 22.0 125.9 541 Nurmes 8.4 9.3 26.6 90.1 140.0 217.1 67.0 4.1 104.4 607 Polvijärvi 9.1 8.4 21.6 96.1 174.8 237.0 – 19.9 115.9 707 Rääkkylä 12.5 10.6 26.4 110.2 206.4 244.4 – 42.8 138.8 848 Tohmajärvi 12.8 7.0 23.6 96.1 170.2 257.1 – 16.6 122.5 911 Valtimo 10.5 7.9 21.3 89.1 142.3 223.1 56.0 18.2 101.6 Total 7.7 9.6 22.0 92.8 162.5 240.9 85.6 17.8 113.2 Kainuu 105 Hyrynsalmi 5.6 6.5 22.0 76.5 127.2 189.5 – 25.4 86.9 205 Kajaani 5.2 6.8 20.0 83.2 134.2 171.8 44.4 13.1 90.9 290 Kuhmo 8.2 10.3 19.6 72.7 132.2 204.4 32.0 17.9 86.8 578 Paltamo 6.6 8.6 24.4 87.3 140.0 205.4 55.8 21.0 99.3 620 Puolanka 5.5 6.1 23.0 76.5 119.2 154.4 100.3 17.2 78.9 697 Ristijärvi 14.9 6.1 30.3 80.3 125.7 191.3 32.0 20.3 90.6 765 Sotkamo 13.0 6.9 22.7 82.3 140.3 200.8 59.6 17.0 96.5 777 Suomussalmi 5.3 6.3 21.7 67.5 111.8 167.7 167.9 32.4 74.5 785 Vaala 2.0 7.5 28.7 79.0 122.9 140.9 48.6 26.4 78.1 Total 6.9 7.3 22.3 75.5 128.8 182.0 54.6 22.4 85.1 Pohjois-Pohjanmaa 009 Alavieska 6.5 4.0 26.8 83.2 134.9 160.2 36.4 20.8 87.3 069 Haapajärvi 9.7 5.8 30.0 88.8 140.5 176.3 70.0 26.1 101.9 071 Haapavesi 4.3 5.2 24.9 85.6 131.4 171.1 88.8 24.4 92.4 072 Hailuoto 2.0 8.1 25.8 76.9 119.0 143.6 34.4 14.1 68.0 084 Haukipudas 8.8 10.0 29.0 83.1 132.0 156.6 58.8 21.0 87.1 139 Ii 10.8 11.2 29.5 76.2 126.0 143.8 66.2 19.9 81.5 208 Kalajoki 3.4 4.1 24.2 87.1 134.1 150.4 33.0 19.0 83.7 244 Kempele 11.1 7.7 28.0 84.7 135.0 159.8 54.1 22.1 87.3 255 Kiiminki 4.1 9.6 31.4 87.1 140.3 155.9 51.1 20.7 95.5 305 Kuusamo 3.8 9.0 18.2 65.3 105.4 126.3 129.9 40.2 73.1 317 Kärsämäki 6.6 6.1 25.3 87.7 141.8 174.3 34.0 26.4 100.3 425 Liminka 2.2 7.5 29.9 78.1 127.1 142.0 40.9 4.3 79.0 436 Lumijoki 1.2 6.1 28.5 78.8 131.5 151.5 41.2 14.3 78.6 483 Merijärvi 2.3 3.4 29.3 80.4 137.3 163.8 57.2 16.9 85.2 494 Muhos 2.3 7.1 28.2 76.6 123.4 144.9 49.6 23.6 76.1 535 Nivala 8.8 5.1 25.6 92.2 137.3 182.3 88.3 23.6 96.9 563 Oulainen 2.9 3.8 26.9 79.8 128.3 164.3 87.2 16.0 83.5 564 Oulu 4.3 9.4 30.0 85.2 130.7 154.9 46.6 24.2 90.9 567 Oulunsalo 15.4 7.1 27.3 82.9 134.7 147.0 52.7 22.0 83.9 615 Pudasjärvi 2.6 5.7 23.7 72.6 110.4 135.6 89.7 27.1 72.0 625 Pyhäjoki 3.6 3.9 27.0 81.6 138.1 153.6 33.0 20.2 83.2 626 Pyhäsalmi 6.1 5.8 31.0 86.5 139.0 172.9 65.6 25.7 98.8 630 Pyhäntä 2.3 8.1 31.9 81.1 129.0 152.6 48.9 24.8 87.8 678 Raahe 3.8 5.9 30.4 82.5 133.1 153.0 50.1 21.2 86.9 691 Reisjärvi 9.6 4.9 26.1 90.1 142.6 181.4 33.0 24.5 98.1 746 Sievi 9.2 4.9 21.0 85.6 136.2 170.6 33.0 23.9 89.3 748 Siikajoki 2.2 6.1 30.0 77.3 129.2 142.1 46.1 18.2 78.4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 161 Table 5d. Continued Forestry centre Open regeneration site Young seedling stand Advanced seedling stand Young thinning stand Advanced thinning stand Mature stand Shelterwood stand Seed tree stand Forest land total Municipality m3/ha 791 Siikalatva 2.8 7.4 30.2 83.7 129.6 147.1 54.6 52.0 88.5 832 Taivalkoski 4.9 5.8 20.5 71.4 108.3 142.2 101.2 26.4 76.5 859 Tyrnävä 2.2 7.4 30.2 77.3 127.4 138.3 40.1 28.2 77.8 889 Utajärvi 1.7 8.5 28.9 79.1 122.5 147.4 50.8 44.9 80.1 926 Vihanti 2.6 6.4 29.6 77.1 131.7 158.2 58.1 18.9 85.4 972 Yli-Ii 3.9 13.8 29.3 76.8 125.8 146.1 61.4 39.8 81.2 977 Ylivieska 8.0 4.7 25.3 84.9 131.6 169.8 106.8 23.0 90.6 Total 4.4 6.8 26.1 77.8 126.0 145.3 64.3 24.7 82.5 Lapland 047 Enontekiö 10.6 20.9 11.0 39.4 77.4 76.9 67.4 24.8 58.4 148 Inari 1.5 16.1 30.5 55.3 69.2 94.1 84.8 19.5 64.6 240 Kemi 5.0 6.5 27.7 82.4 148.0 143.0 33.0 84.5 87.3 241 Keminmaa 5.8 13.6 31.3 85.9 137.8 141.0 2.1 63.7 88.7 261 Kittilä 0.3 16.2 18.9 56.0 84.6 87.9 82.4 29.4 59.9 273 Kolari 0.7 20.2 22.9 62.2 106.8 111.2 10.8 21.5 68.4 320 Kemijärvi 10.0 12.6 22.7 66.3 95.6 104.8 67.4 19.2 66.3 498 Muonio 0.1 30.0 13.7 54.2 86.3 92.8 86.1 23.4 62.3 583 Pelkosenniemi 5.1 11.0 22.7 61.5 95.0 98.9 48.8 17.3 61.9 614 Posio 3.8 7.3 18.1 63.5 94.2 110.2 106.6 19.4 64.5 683 Ranua 4.8 6.6 25.9 65.5 107.1 115.7 49.0 24.5 64.4 698 Rovaniemi 8.4 12.8 24.1 65.7 104.5 112.5 65.1 20.9 65.3 732 Salla 12.5 10.1 17.6 58.3 91.5 92.7 44.8 25.0 60.7 742 Savukoski 5.5 11.3 17.3 56.5 87.2 89.4 50.3 23.4 53.9 751 Simo 8.3 13.0 31.2 72.3 119.0 129.4 44.0 43.6 74.8 758 Sodankylä 9.7 13.1 17.8 53.8 88.7 85.2 77.9 20.1 53.6 845 Tervola 7.4 15.0 27.8 80.5 122.0 131.9 66.7 22.1 79.3 851 Tornio 3.4 16.5 22.9 85.8 130.5 139.1 27.4 55.8 86.2 854 Pello 0.4 12.6 21.4 67.7 118.2 121.4 64.0 40.6 67.1 890 Utsjoki – 11.0 16.3 51.4 39.2 74.0 73.2 12.6 49.9 976 Ylitornio 8.3 15.8 27.3 63.9 118.1 101.1 43.3 24.7 62.1 Total 4.8 14.9 25.5 57.4 85.1 95.5 73.1 22.0 63.2 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 162 Table 6a. The mean volume of growing stock by tree species and roundwood assortment on forest and poorly productive forest land by forestry centres. Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha Åland 035 Brändö 39.2 6.2 28.6 10.7 2.9 6.6 23.0 0.9 14.4 27.1 0.8 18.4 99.9 043 Eckerö 70.4 17.4 48.4 26.5 8.9 15.5 19.8 1.6 14.6 10.5 0.3 8.3 127.2 060 Finström 66.5 17.1 45.3 29.8 10.1 17.4 22.6 1.9 16.6 14.6 0.5 11.5 133.5 062 Föglö 73.7 15.1 53.7 22.6 7.0 13.9 15.9 0.9 11.8 10.4 0.4 8.2 122.6 065 Geta 67.1 13.3 48.0 18.9 6.0 11.4 12.6 0.8 9.4 6.5 0.2 5.2 105.0 076 Hammarland 69.1 17.1 47.6 27.8 9.2 16.4 21.5 1.7 16.0 11.6 0.4 9.3 129.9 170 Jomala 67.8 18.2 45.6 30.2 10.4 17.4 21.7 1.8 15.8 13.8 0.4 10.9 133.4 295 Kumlinge 56.9 7.0 42.2 5.7 1.5 3.6 16.2 0.5 9.5 17.6 0.7 11.2 96.4 318 Kökar 7.9 0.5 5.4 3.2 0.6 2.4 37.0 0.0 14.4 34.4 0.3 22.5 82.4 417 Lemland 66.8 17.0 45.7 30.7 10.1 18.1 23.4 1.8 17.3 13.4 0.4 10.7 134.3 438 Lumparland 75.9 17.2 53.6 25.6 8.5 15.2 16.4 1.1 12.3 9.2 0.3 7.3 127.1 478 Mariehamn-Maarianhamina 50.4 10.0 36.5 16.9 4.8 10.3 18.8 1.4 13.5 18.2 0.3 13.9 104.3 736 Saltvik 74.9 16.1 53.2 23.3 7.7 13.9 14.0 0.9 10.4 7.2 0.2 5.7 119.3 766 Sottunga 54.3 8.8 40.2 13.1 3.7 8.2 16.4 0.6 10.8 15.5 0.4 10.4 99.3 771 Sund 73.1 16.5 51.5 25.1 8.3 14.9 16.4 1.2 12.2 8.6 0.2 6.6 123.2 941 Vårdö 73.2 14.3 52.9 20.3 6.5 12.3 12.0 0.7 8.9 5.5 0.2 4.3 111.0 Total 67.2 15.1 47.2 23.6 7.7 14.0 18.6 1.2 13.4 12.0 0.4 9.1 121.5 Rannikko/Etelärannikko 049 Espoo-Esbo 55.4 20.7 32.5 61.4 29.1 28.8 24.2 4.9 16.6 9.6 1.6 6.3 150.6 078 Hanko-Hangö 70.3 25.0 42.3 51.5 22.4 25.9 14.1 1.9 10.2 4.2 0.7 2.9 140.0 091 Helsinki-Helsingfors 48.0 18.7 27.2 50.2 24.4 22.6 24.7 4.9 17.2 11.6 1.8 8.1 134.5 092 Vantaa-Vanda 38.3 15.0 21.8 58.9 27.3 27.9 33.1 6.6 22.8 14.8 2.3 10.0 145.2 149 Ingå-Inkoo 63.3 22.9 37.7 48.3 21.0 24.2 16.5 2.9 11.4 6.5 1.2 4.3 134.5 235 Kauniainen-Grankulla 57.8 20.3 34.8 51.0 23.7 24.0 23.2 4.4 15.8 9.6 1.7 6.1 141.5 257 Kirkkonummi-Kyrkslätt 57.9 20.3 35.0 47.1 21.1 23.0 17.4 3.1 12.1 6.9 1.2 4.6 129.3 322 Kemiönsaari 71.8 24.7 44.1 36.0 15.2 18.7 10.0 1.3 7.3 3.5 0.6 2.5 121.3 407 Lapinjärvi-Lappträsk 50.1 19.8 28.5 83.8 36.7 42.5 24.7 4.6 17.2 6.7 1.6 4.0 165.3 424 Liljendal 52.1 20.4 29.8 78.8 34.6 40.0 22.8 4.5 15.7 6.1 1.5 3.6 159.8 434 Loviisa-Lovisa 67.0 25.3 39.3 75.4 34.5 36.8 19.4 3.6 13.7 5.1 1.0 3.4 166.8 444 Länsi-Turunmaa 69.2 22.3 43.6 29.6 11.4 16.2 10.7 1.3 7.8 5.2 0.9 3.6 114.7 585 Pernå-Pernaja 56.0 21.3 32.6 74.8 33.5 37.2 22.2 4.2 15.5 6.6 1.5 4.1 159.5 638 Porvoo-Borgå 57.1 21.6 33.4 73.4 32.8 36.5 22.2 4.4 15.4 7.5 1.6 4.8 160.3 701 Ruotsinpyhtää-Strömfors 53.1 20.3 30.8 71.5 30.7 36.5 25.5 4.6 17.9 6.6 1.5 4.0 156.7 710 Raasepori 70.6 26.3 41.7 55.8 25.1 27.7 15.7 2.4 11.3 5.2 1.0 3.5 147.3 753 Sipoo-Sibbo 51.2 20.1 29.1 81.7 39.6 37.8 25.5 5.2 17.7 10.3 1.9 6.7 168.7 755 Siuntio-Sjundeå 47.6 17.6 27.9 51.1 22.1 25.7 20.6 3.5 14.2 8.5 1.7 5.2 127.7 Total 61.7 22.4 36.8 55.5 24.6 27.7 18.1 3.1 12.7 6.5 1.2 4.3 141.8 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 28.4 6.0 20.6 28.3 9.2 16.6 25.0 0.9 18.6 4.4 0.5 2.3 86.0 280 Korsnäs 38.9 9.5 27.2 41.7 12.7 25.6 26.2 1.1 18.9 4.8 0.5 3.5 111.5 287 Kristinestad-Kristiinankaupunki 53.7 12.5 38.0 35.9 14.1 19.2 14.9 0.8 10.8 2.5 0.2 1.7 107.0 288 Kronoby-Kruunupyy 55.5 10.6 41.1 22.7 7.2 13.4 20.1 0.7 15.8 2.7 0.3 1.9 101.0 440 Larsmo-Luoto 47.9 8.0 36.1 26.2 9.0 15.0 20.0 0.7 14.8 5.4 0.9 3.6 99.5 475 Malax-Maalahti 39.5 9.0 28.0 38.9 11.9 23.8 26.0 1.0 18.8 5.0 0.4 3.7 109.4 499 Korsholm-Mustasaari 37.7 7.6 28.1 51.0 17.7 29.7 28.3 1.0 21.3 6.7 0.3 5.1 123.7 545 Närpes-Närpiö 48.9 11.2 34.7 36.6 12.8 20.9 17.6 0.8 12.6 2.1 0.2 1.4 105.1 559 Oravais-Oravainen 40.5 7.6 30.2 30.2 8.9 18.3 26.0 1.0 19.2 4.0 0.5 2.7 100.7 598 Jakobstad-Pietarsaari 44.3 7.9 33.3 23.2 6.2 14.6 23.9 0.7 18.4 3.5 0.4 2.4 94.8 599 Pedersöre-Pedersören kunta 53.7 9.7 40.3 23.3 6.9 14.2 21.7 0.7 17.0 2.4 0.3 1.7 101.1 893 Nykarleby-Uusikaarlepyy 52.9 10.3 39.4 27.3 8.2 16.6 22.9 0.9 17.3 3.1 0.4 2.0 106.2 905 Vaasa-Vasa 35.1 7.7 25.6 61.8 22.0 36.0 29.6 1.2 22.2 7.1 0.3 5.4 133.6 945 Vörå-Maxmo Vöyri-Maksamaa 38.4 8.0 28.0 38.6 12.5 23.0 26.4 1.1 19.2 4.9 0.4 3.6 108.4 Total 47.1 9.7 34.4 34.7 11.6 20.4 22.4 0.9 16.7 3.8 0.3 2.7 108.0 Lounais-Suomi 019 Aura 65.9 25.2 38.2 48.8 21.0 24.9 16.7 2.1 11.9 6.8 1.2 4.8 138.2 050 Eura 64.5 24.7 37.7 46.9 18.5 25.0 19.1 1.8 13.9 5.3 0.7 4.2 135.8 051 Eurajoki 55.0 18.5 34.7 52.2 20.6 27.5 20.6 1.6 14.7 4.1 0.4 3.0 131.9 079 Harjavalta 54.1 17.6 34.6 52.6 21.4 27.4 22.4 2.0 16.2 3.2 0.2 2.5 132.4 099 Honkajoki 63.2 15.5 44.0 10.9 4.1 5.9 12.1 0.8 8.8 1.3 0.1 0.8 87.5 102 Huittinen 52.5 18.1 32.4 58.7 25.7 29.5 22.6 2.5 15.9 4.0 0.6 2.9 137.8 181 Jämijärvi 53.8 16.3 34.5 32.9 14.9 15.6 17.6 1.3 13.1 3.5 0.3 2.4 107.8 202 Kaarina 66.0 23.8 39.7 40.1 16.1 21.4 16.1 1.8 11.6 8.2 1.4 5.7 130.5 214 Kankaanpää 58.0 16.2 38.6 25.6 11.9 12.0 14.5 1.0 10.7 2.9 0.3 2.0 101.1 230 Karvia 65.9 16.2 45.8 11.4 4.0 6.5 11.3 0.8 8.2 1.3 0.1 0.8 89.9 254 Kiikoinen 54.0 18.6 33.2 52.6 23.6 25.8 18.0 1.6 13.2 2.4 0.1 1.8 127.0 271 Kokemäki 55.4 18.4 34.7 48.5 21.4 24.1 20.9 2.0 15.1 3.7 0.2 3.0 128.4 284 Koski T.l. 60.6 26.9 31.9 62.4 29.9 29.8 24.2 2.6 17.4 5.3 1.3 3.3 152.4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 163 Table 6a. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 304 Kustavi 64.3 19.0 41.9 19.3 6.7 11.2 8.4 0.9 6.1 4.2 0.6 2.9 96.2 319 Köyliö 77.5 29.8 45.4 37.6 16.6 18.6 13.9 1.2 9.8 3.0 0.3 2.4 132.0 400 Laitila 66.8 24.4 40.2 36.7 13.6 20.2 15.0 1.6 11.0 4.1 0.6 3.1 122.4 413 Lavia 61.9 21.5 38.0 47.1 21.3 23.0 17.1 1.6 12.8 2.8 0.2 2.0 128.9 423 Lieto 74.3 28.2 43.6 47.0 20.1 24.2 15.0 1.9 10.7 5.9 0.9 4.2 142.2 430 Loimaa 59.6 25.5 32.3 62.3 30.5 28.9 20.3 2.3 14.7 5.2 1.4 3.2 147.3 442 Luvia 72.4 23.4 47.0 56.4 21.8 31.1 26.6 2.1 20.9 5.5 0.8 4.0 160.9 480 Marttila 63.0 23.3 37.4 49.5 21.2 25.4 18.3 2.3 13.2 6.4 1.3 4.4 137.3 481 Masku 67.8 23.7 41.5 35.0 13.7 18.9 13.6 1.5 9.8 6.1 1.0 4.3 122.5 484 Merikarvia 55.0 15.9 36.3 46.1 21.7 21.6 16.5 1.0 12.4 4.8 0.3 3.4 122.4 503 Mynämäki 69.6 24.5 42.4 39.2 15.3 21.3 16.4 1.9 11.9 5.0 0.9 3.5 130.2 529 Naantali 70.8 22.5 45.1 26.0 9.8 14.4 9.5 1.1 6.9 4.9 0.7 3.4 111.2 531 Nakkila 54.7 16.7 35.9 57.3 22.8 30.5 24.2 2.0 17.9 4.6 0.6 3.4 140.8 537 Noormarkku 55.3 19.4 33.8 58.9 26.7 28.9 20.8 2.0 15.3 4.1 0.5 2.9 139.1 538 Nousiainen 72.5 26.4 43.6 43.8 18.3 22.9 14.4 1.8 10.5 4.6 0.8 3.2 135.3 561 Oripää 67.6 24.3 40.8 44.1 18.8 22.8 16.3 2.0 11.7 4.6 0.8 3.2 132.6 577 Paimio 73.5 27.2 43.7 45.0 19.2 23.2 14.6 1.8 10.5 5.9 1.0 4.2 139.0 608 Pomarkku 57.0 20.9 33.8 66.4 33.1 30.2 18.7 2.0 13.5 3.4 0.3 2.5 145.5 609 Pori 60.1 21.4 37.0 56.8 22.9 30.3 25.0 2.4 18.7 5.9 0.9 4.0 147.8 631 Pyhäranta 65.9 23.8 40.2 45.1 17.0 25.3 18.1 2.1 13.7 6.0 0.4 4.9 135.2 636 Pöytyä 69.9 25.3 42.1 45.9 19.2 24.0 17.0 2.1 12.3 5.1 1.0 3.5 137.9 680 Raisio 67.1 23.7 41.0 33.5 13.2 18.0 14.4 1.6 10.3 7.4 1.0 5.3 122.4 684 Rauma 64.9 23.3 39.4 41.3 16.7 21.9 16.3 1.5 12.2 5.3 0.4 4.0 127.7 704 Rusko 73.3 26.7 44.0 45.5 18.8 24.0 16.4 2.0 11.9 5.4 1.0 3.8 140.6 734 Salo 69.5 26.3 40.8 53.7 24.0 26.8 16.5 2.2 11.9 6.0 1.1 4.1 145.7 738 Sauvo 70.5 25.0 42.9 39.6 16.0 21.1 13.7 1.6 9.9 5.7 1.0 3.9 129.4 747 Siikainen 58.0 16.3 38.7 39.7 19.0 18.3 17.0 1.0 12.6 4.3 0.3 3.0 119.0 761 Somero 52.9 20.9 30.1 66.3 31.5 31.4 21.5 2.7 15.0 4.3 0.8 2.9 145.0 783 Säkylä 69.5 27.1 40.3 35.5 15.4 17.9 13.9 1.4 10.1 4.5 0.8 3.4 123.4 833 Taivassalo 66.9 21.1 42.9 23.7 8.6 13.4 9.9 1.0 7.2 5.0 0.7 3.5 105.5 838 Tarvasjoki 68.1 25.7 40.1 51.3 21.8 26.5 17.4 2.2 12.5 7.4 1.4 5.1 144.2 853 Turku-Åbo 64.3 23.1 38.9 37.8 15.2 20.1 16.8 1.9 11.9 8.4 1.2 6.0 127.3 886 Ulvila 53.9 17.8 33.8 56.2 24.1 28.5 21.9 2.1 15.9 3.8 0.4 2.8 135.8 895 Uusikaupunki 67.6 22.6 42.3 28.6 10.5 16.0 13.1 1.4 9.4 5.4 0.8 3.8 114.7 918 Vehmaa 64.7 21.9 40.2 27.7 10.2 15.5 12.6 1.4 9.1 5.4 0.8 3.8 110.5 Total 63.1 21.8 38.8 44.4 19.2 22.5 17.2 1.7 12.5 4.6 0.7 3.3 129.3 Häme-Uusimaa 015 Artjärvi 43.1 17.1 24.4 80.7 37.2 39.4 22.6 4.0 15.5 8.1 1.7 4.8 154.5 016 Asikkala 44.0 19.5 23.0 77.2 38.3 35.1 25.2 4.5 17.5 8.0 1.1 5.4 154.4 018 Askola 41.8 17.0 23.3 84.0 37.9 41.7 24.7 5.0 16.8 8.7 2.1 5.1 159.2 061 Forssa 38.9 18.7 18.9 89.4 46.3 39.3 22.8 3.2 16.3 5.1 0.8 3.6 156.2 081 Hartola 41.9 21.0 19.5 79.8 41.4 35.2 26.2 4.6 18.5 7.0 0.7 4.7 154.8 082 Hattula 44.4 19.0 23.9 61.0 27.4 29.8 24.0 4.1 16.7 7.9 1.4 5.0 137.3 086 Hausjärvi 41.3 19.4 20.2 73.8 34.5 35.9 18.3 2.8 12.5 5.6 0.7 3.7 139.0 098 Hollola 37.7 18.0 18.5 82.8 41.8 37.2 20.4 2.8 14.4 7.3 1.0 4.8 148.2 103 Humppila 50.7 22.1 27.0 91.6 47.3 41.0 18.6 1.8 13.8 5.8 1.0 3.9 166.7 106 Hyvinkää 40.8 17.9 21.2 74.5 35.6 35.6 20.5 3.3 14.2 6.3 0.9 4.1 142.1 109 Hämeenlinna 42.4 19.4 21.5 81.9 39.9 38.1 21.9 3.5 15.3 5.8 1.0 3.7 151.9 111 Heinola 58.1 28.1 28.0 60.0 30.8 26.3 25.0 4.7 17.0 6.9 1.0 4.5 150.0 165 Janakkala 41.7 19.2 21.1 77.7 37.5 36.4 21.1 3.6 14.6 7.0 1.1 4.6 147.6 169 Jokioinen 32.8 13.3 18.3 85.6 43.4 38.9 19.2 2.1 14.0 6.3 0.5 4.7 143.8 186 Järvenpää 30.6 12.4 16.8 60.4 27.2 29.4 27.5 5.0 19.1 14.4 2.1 9.2 132.8 223 Karjalohja 48.4 17.4 28.8 45.7 19.6 23.2 24.4 3.9 17.0 9.2 1.7 5.8 127.7 224 Karkkila 51.2 20.1 29.2 72.4 33.2 35.1 23.5 4.4 16.2 8.2 1.8 4.9 155.3 245 Kerava 38.0 14.9 21.5 55.8 24.9 27.3 29.8 5.7 20.7 14.3 2.3 9.3 137.9 283 Hämeenkoski 30.9 14.7 15.0 87.6 42.6 41.0 21.0 2.6 14.7 6.9 1.0 4.5 146.4 316 Kärkölä 30.8 13.5 16.0 80.2 37.8 38.7 19.5 2.6 13.1 6.0 0.7 3.8 136.4 398 Lahti 38.0 16.0 20.6 66.4 35.2 28.0 21.1 2.9 14.6 9.1 1.0 5.8 134.5 433 Loppi 46.8 20.2 25.0 68.8 33.1 32.2 20.0 3.6 13.7 6.4 1.1 4.0 142.0 444 Lohja 43.4 16.1 25.4 48.5 21.1 24.4 23.1 3.8 15.8 10.2 1.8 6.3 125.1 504 Myrskylä-Mörskom 43.3 17.4 24.3 80.8 35.0 41.4 26.2 4.9 18.2 8.6 2.1 5.0 159.0 505 Mäntsälä 35.5 16.0 18.0 91.1 43.4 43.7 19.7 3.1 13.4 5.5 0.8 3.5 151.8 532 Nastola 47.5 20.9 24.7 64.9 32.1 29.6 24.3 3.9 16.9 8.5 1.1 5.5 145.2 540 Nummi-Pusula 53.1 19.8 31.2 52.7 22.9 26.6 22.7 3.7 15.7 7.8 1.6 4.8 136.3 543 Nurmijärvi 36.2 14.2 20.4 55.6 25.0 27.1 24.9 4.3 17.0 11.7 1.9 7.2 128.3 560 Orimattila 40.0 18.0 20.5 70.5 34.4 32.5 18.4 2.7 12.7 6.2 0.9 4.0 135.1 576 Padasjoki 49.0 21.8 25.6 80.7 38.4 38.1 22.2 4.2 15.3 6.7 1.3 4.3 158.6 611 Pornainen 42.7 16.5 24.4 74.9 33.3 37.4 27.1 5.1 18.8 10.9 2.4 6.7 155.5 616 Pukkila 37.5 15.0 21.0 76.7 33.2 39.3 27.2 4.8 18.9 10.5 2.4 6.1 151.8 694 Riihimäki 32.9 14.7 16.9 73.3 36.2 33.8 20.9 3.5 14.2 8.1 1.1 5.3 135.2 781 Sysmä 47.4 26.7 19.3 77.6 41.9 32.8 27.0 5.3 18.8 9.2 1.1 6.4 161.3 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 164 Table 6a. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 834 Tammela 55.0 22.0 31.0 73.8 35.8 34.0 25.1 3.9 17.8 3.2 0.6 2.2 157.0 858 Tuusula 33.4 13.4 18.6 67.6 30.8 32.9 29.5 5.3 20.3 14.1 2.3 9.1 144.6 927 Vihti 49.6 18.8 28.8 64.4 28.9 31.8 23.9 4.3 16.5 9.3 1.8 5.7 147.2 981 Ypäjä 41.8 17.0 23.5 92.9 47.1 42.2 20.3 2.0 15.1 6.2 0.7 4.5 161.1 Total 44.4 19.8 23.0 74.2 36.0 34.5 22.9 3.9 15.9 7.2 1.1 4.6 148.7 Kaakkois-Suomi 075 Hamina 61.8 22.9 36.3 47.2 21.7 22.9 16.3 1.8 11.9 3.8 0.6 2.6 129.0 142 Iitti 49.5 22.4 25.4 75.3 39.3 32.7 24.5 4.5 17.1 6.7 1.0 4.2 156.0 153 Imatra 50.1 21.7 27.1 69.5 32.7 33.7 22.7 3.3 16.7 6.6 0.6 4.4 148.9 285 Kotka 58.3 23.3 32.6 38.2 16.3 19.5 16.3 1.9 11.8 4.1 0.4 2.8 116.9 286 Kouvola 67.2 29.5 35.2 56.0 28.1 25.0 20.1 3.1 14.0 4.8 0.7 3.1 148.1 405 Lappeenranta 57.2 23.1 32.0 53.4 26.0 24.8 18.0 2.2 13.1 4.9 0.6 3.3 133.4 416 Lemi 59.8 24.4 32.9 48.4 23.0 23.0 18.4 2.6 13.0 4.1 0.4 2.7 130.7 441 Luumäki 64.3 24.5 37.0 48.8 23.5 22.7 17.4 2.0 12.8 3.6 0.6 2.4 134.1 489 Miehikkälä 61.1 20.7 37.8 53.9 25.0 26.2 16.4 1.7 12.2 3.6 0.6 2.5 135.1 580 Parikkala 49.7 19.7 28.2 57.4 25.4 29.4 24.6 2.9 18.3 6.5 0.5 4.4 138.2 624 Pyhtää-Pyttis 58.8 22.6 33.9 65.6 27.9 33.7 26.1 4.4 18.5 6.8 1.6 4.2 157.2 689 Rautjärvi 47.5 19.8 26.2 66.9 29.7 33.9 25.4 3.3 18.8 7.1 0.6 4.8 146.8 700 Ruokolahti 71.3 30.7 38.1 44.8 20.8 21.8 20.2 2.6 14.7 4.5 0.4 2.9 140.8 739 Savitaipale 73.6 30.0 40.4 33.5 14.6 16.8 17.7 2.5 12.3 3.2 0.2 2.0 127.9 775 Suomenniemi 83.4 34.8 45.0 34.0 14.6 17.3 17.3 2.6 11.9 3.5 0.3 2.3 138.2 831 Taipalsaari 79.4 32.7 43.4 30.3 12.7 16.0 18.9 3.0 13.2 3.4 0.3 2.1 132.0 935 Virolahti 59.1 20.0 36.6 51.7 22.5 26.5 15.1 1.5 11.2 3.4 0.6 2.4 129.3 978 Ylämaa 63.4 22.6 38.3 56.4 27.3 26.3 17.3 1.8 12.9 3.7 0.6 2.6 140.8 Total 63.5 25.9 35.1 51.8 24.6 24.6 19.5 2.7 14.0 4.6 0.6 3.0 139.4 Pirkanmaa 020 Akaa 35.4 16.8 17.4 67.2 31.1 32.2 26.8 3.9 18.8 6.2 0.9 4.1 135.6 108 Hämeenkyrö 42.8 16.1 25.1 60.7 28.0 29.1 27.5 3.4 19.9 6.0 0.8 4.0 137.0 143 Ikaalinen 55.2 18.9 34.0 45.9 21.3 21.8 19.1 2.0 13.8 3.8 0.5 2.6 124.0 177 Juupajoki 50.0 21.0 27.3 66.6 33.7 29.6 20.4 2.7 14.7 4.2 0.6 2.8 141.1 211 Kangasala 42.0 19.8 21.0 66.4 32.4 30.3 26.0 4.5 18.7 6.5 1.0 4.5 140.9 250 Kihniö 73.6 18.9 50.8 21.6 7.8 11.8 16.6 1.1 12.0 2.0 0.3 1.2 113.7 289 Kuhmalahti 43.5 18.9 23.0 64.6 29.2 31.6 21.3 3.7 14.7 6.7 1.2 4.2 136.1 310 Kylmäkoski 42.3 19.3 21.5 76.1 36.5 35.9 23.1 3.5 16.4 5.1 0.9 3.6 146.5 418 Lempäälä 32.0 14.4 16.7 78.0 39.0 34.6 27.9 5.8 19.2 8.2 1.1 6.0 146.1 508 Mänttä-Vilppula 51.1 20.1 29.2 72.0 36.1 32.2 23.4 3.2 16.8 6.0 0.7 4.2 152.5 536 Nokia 40.0 19.1 19.9 66.9 32.2 31.2 27.3 4.9 19.1 7.1 1.3 4.8 141.2 562 Orivesi 48.2 20.6 26.0 72.1 36.4 32.1 22.3 3.2 16.0 4.8 0.7 3.2 147.4 581 Parkano 66.5 18.2 44.8 23.7 9.6 12.2 14.9 1.0 10.9 2.3 0.3 1.5 107.4 604 Pirkkala 28.9 12.8 15.3 75.1 37.0 34.0 28.8 6.4 19.7 9.7 1.3 7.0 142.4 619 Punkalaidun 60.1 28.7 29.6 71.5 36.0 32.2 20.2 2.0 14.6 5.0 1.3 3.1 156.7 635 Pälkäne 38.7 18.0 19.4 89.9 43.6 42.2 23.3 4.5 16.1 8.3 1.4 5.5 160.1 702 Ruovesi 56.3 22.0 32.3 68.9 34.7 30.9 19.9 2.6 14.4 4.5 0.6 3.1 149.6 790 Sastamala 52.6 17.9 32.4 58.5 27.5 27.5 21.5 2.8 15.2 3.7 0.4 2.6 136.2 837 Tampere 47.3 20.3 25.5 74.6 37.1 33.7 25.0 4.0 17.9 5.5 0.8 3.7 152.4 887 Urjala 48.7 22.2 24.9 78.4 39.0 36.0 22.6 2.6 16.4 5.9 1.3 3.8 155.6 908 Valkeakoski 37.1 17.7 18.1 74.7 35.8 34.7 29.0 5.8 20.0 8.7 1.7 5.9 149.4 922 Vesilahti 42.6 21.8 19.6 77.7 40.5 33.5 22.2 4.1 15.4 4.6 1.0 3.1 147.2 936 Virrat 67.8 20.4 43.9 36.6 15.4 18.7 15.3 1.2 11.3 2.5 0.4 1.6 122.2 980 Ylöjärvi 59.5 21.6 35.7 56.0 26.4 26.4 20.3 2.5 14.7 3.9 0.5 2.7 139.7 Total 53.4 19.8 31.4 59.0 28.3 27.5 21.0 2.8 15.1 4.6 0.7 3.1 138.0 Etelä-Savo 046 Enonkoski 52.2 23.0 27.5 62.5 28.4 31.0 20.8 2.6 15.4 6.5 0.6 4.4 142.0 090 Heinävesi 48.2 18.5 28.1 62.2 28.3 30.5 20.7 2.6 15.5 5.6 0.3 3.8 136.8 097 Hirvensalmi 56.2 28.7 25.7 57.2 27.9 26.6 29.2 5.7 19.8 9.7 1.3 6.3 152.3 171 Joroinen 53.0 21.3 29.7 56.5 30.2 23.5 19.5 2.2 13.6 4.5 0.5 2.7 133.6 178 Juva 62.6 27.4 32.8 52.9 26.4 23.6 19.7 2.9 13.5 4.7 0.6 3.0 139.9 213 Kangasniemi 53.0 23.7 27.0 51.1 26.4 22.1 20.3 3.1 13.5 5.3 0.6 3.4 129.7 246 Kerimäki 52.9 22.7 28.2 57.4 26.2 28.4 23.2 2.8 17.0 5.6 0.5 3.8 139.1 491 Mikkeli 56.8 26.3 28.4 51.5 25.3 23.4 23.0 3.6 15.7 6.2 0.8 4.0 137.6 507 Mäntyharju 75.0 33.1 39.0 42.1 19.3 20.4 21.4 3.4 14.7 5.2 0.6 3.3 143.7 588 Pertunmaa 46.2 22.4 22.3 62.8 30.4 29.2 29.1 5.3 19.8 8.3 1.0 5.3 146.4 593 Pieksämäki 54.6 21.2 31.0 48.2 24.4 20.9 19.7 2.5 13.8 4.4 0.4 2.7 126.8 618 Punkaharju 62.6 27.0 33.6 59.5 28.0 28.8 22.2 2.8 16.3 5.0 0.4 3.4 149.3 623 Puumala 85.9 34.7 47.8 26.6 11.3 13.9 19.2 2.6 13.9 3.4 0.2 2.0 135.1 681 Rantasalmi 51.6 21.5 28.3 51.9 23.0 26.0 21.8 2.6 16.1 6.8 0.6 4.6 132.0 696 Ristiina 71.2 32.9 35.6 48.1 23.0 22.6 23.0 3.8 15.9 5.8 0.7 3.8 148.0 740 Savonlinna 61.9 27.0 32.8 54.0 24.3 27.0 21.6 2.8 15.8 5.5 0.4 3.7 143.0 768 Sulkava 70.0 30.5 36.9 38.7 17.3 19.2 20.2 2.6 14.5 4.3 0.3 2.8 133.2 Total 59.9 25.9 31.8 50.9 24.3 23.8 21.5 3.0 15.2 5.4 0.5 3.5 137.7 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 165 Table 6a. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha Etelä-Pohjanmaa 005 Alajärvi 70.5 18.2 48.3 13.8 5.1 7.5 13.1 0.9 9.5 1.6 0.2 1.1 99.0 010 Alavus 68.4 19.0 45.3 15.5 5.6 8.8 12.9 1.0 9.3 1.4 0.2 0.8 98.3 052 Evijärvi 51.7 9.4 38.2 15.2 4.8 8.9 18.2 0.7 13.9 3.0 0.4 2.0 88.0 074 Halsua 61.4 13.0 43.2 6.3 2.6 3.1 13.1 0.5 9.9 1.5 0.1 1.2 82.3 095 Himanka 59.3 11.7 43.4 17.8 5.8 10.4 15.9 0.4 12.5 2.4 0.2 1.6 95.4 145 Ilmajoki 55.9 13.9 38.4 26.9 10.2 14.6 14.4 1.0 10.5 1.7 0.2 1.1 98.9 151 Isojoki 60.8 13.7 43.1 23.4 9.6 12.0 12.7 0.8 9.4 1.5 0.1 1.1 98.4 152 Isokyrö 44.0 9.0 31.6 25.1 7.6 15.0 20.2 0.8 14.4 3.3 0.5 2.2 92.5 164 Jalasjärvi 63.6 16.7 43.2 16.0 5.7 9.0 12.4 1.0 8.8 1.8 0.3 1.0 93.9 217 Kannus 54.9 10.2 40.3 12.9 4.0 7.6 17.0 0.5 13.4 1.4 0.1 1.1 86.2 218 Karijoki 58.8 11.5 43.2 29.6 11.3 16.3 12.4 0.6 8.9 1.3 0.1 0.8 102.0 232 Kauhajoki 59.7 11.6 43.9 15.2 5.5 8.6 9.1 0.5 6.6 0.7 0.1 0.5 84.7 233 Kauhava 58.6 11.2 43.1 13.9 4.1 8.2 15.3 0.6 11.6 3.4 0.4 2.4 91.2 236 Kaustinen 57.2 10.7 42.1 13.6 4.1 8.2 15.8 0.5 12.3 2.0 0.2 1.5 88.6 272 Kokkola-Karleby 55.5 10.5 40.8 17.4 5.7 10.1 16.1 0.5 12.4 2.4 0.3 1.7 91.4 300 Kuortane 73.8 21.2 48.7 14.8 5.7 7.9 13.6 0.9 9.7 1.4 0.2 0.8 103.6 301 Kurikka 53.4 11.8 38.0 25.7 9.4 14.3 13.9 0.8 9.9 1.7 0.2 1.1 94.7 399 Laihia 48.0 10.7 34.2 32.1 10.3 19.0 21.8 1.0 15.9 3.4 0.6 2.3 105.3 403 Lappajärvi 61.9 12.8 44.9 14.8 4.6 8.6 16.5 0.7 12.6 3.4 0.4 2.5 96.5 408 Lapua 60.4 12.4 44.0 18.6 6.0 10.9 17.1 0.7 13.1 2.8 0.3 2.0 99.0 421 Lestijärvi 51.9 9.7 38.1 14.1 4.7 8.3 15.5 0.5 11.7 2.4 0.2 1.7 83.9 584 Perho 60.7 12.3 43.8 12.2 4.3 6.8 13.0 0.4 9.8 1.7 0.1 1.2 87.6 743 Seinäjoki 56.3 13.9 38.8 16.7 5.8 9.3 15.4 1.1 11.2 2.3 0.2 1.4 90.6 759 Soini 68.3 17.8 46.8 17.7 7.0 9.4 13.6 0.9 10.1 2.0 0.2 1.4 101.6 846 Teuva 54.7 10.3 40.3 26.1 9.8 14.3 12.4 0.6 8.7 1.5 0.2 1.0 94.6 849 Toholampi 53.7 11.0 38.5 14.4 4.9 8.3 15.0 0.6 11.6 1.8 0.1 1.4 84.9 863 Töysä 77.7 23.6 50.2 17.7 7.2 9.1 11.8 0.8 8.3 1.3 0.1 0.7 108.5 924 Veteli 58.4 10.9 43.2 14.3 4.6 8.4 15.7 0.5 12.2 2.2 0.2 1.6 90.5 934 Vimpeli 59.7 12.0 43.4 15.7 5.4 9.0 16.5 0.6 12.8 2.4 0.2 1.7 94.3 942 Vähäkyrö 33.0 7.8 23.1 32.8 9.9 20.1 26.9 1.1 19.0 6.0 0.4 4.3 98.7 989 Ähtäri 70.5 19.9 47.1 23.5 9.6 12.3 15.1 1.3 11.0 2.4 0.2 1.6 111.6 Total 59.9 13.5 42.4 17.7 6.3 9.9 14.6 0.7 10.8 2.1 0.2 1.4 94.2 Keski-Suomi 077 Hankasalmi 44.5 17.4 25.0 53.3 29.3 21.3 22.4 2.7 15.5 4.4 0.4 2.8 124.6 172 Joutsa 51.6 24.2 25.6 61.8 31.1 27.8 25.7 4.6 17.9 6.7 0.7 4.5 145.8 179 Jyväskylä 44.5 19.1 23.7 59.8 31.9 24.9 21.3 2.9 15.4 5.4 0.6 3.5 131.1 182 Jämsä 50.9 19.4 29.3 50.9 26.6 21.6 17.4 2.1 12.3 4.0 0.4 2.6 123.2 216 Kannonkoski 65.7 19.7 43.2 34.2 14.9 17.3 17.4 1.4 13.0 3.1 0.2 2.2 120.4 226 Karstula 65.7 17.1 45.3 24.6 10.0 12.9 17.7 1.1 13.5 2.3 0.1 1.6 110.4 249 Keuruu 64.3 21.5 40.2 43.0 19.6 20.9 18.1 1.9 13.0 3.4 0.5 2.2 128.8 256 Kinnula 59.8 13.1 42.7 20.3 7.4 11.3 17.1 0.7 13.0 2.4 0.2 1.7 99.6 265 Kivijärvi 66.0 18.2 44.6 26.7 11.4 13.5 15.6 1.1 11.8 2.3 0.2 1.6 110.7 275 Konnevesi 46.4 18.3 26.2 57.9 31.5 23.5 21.8 2.4 16.0 4.5 0.4 2.6 130.6 291 Kuhmoinen 47.5 20.6 25.2 66.1 35.6 27.4 17.9 2.5 12.8 4.8 0.6 3.2 136.3 312 Kyyjärvi 65.2 15.2 46.2 16.1 6.0 8.7 16.0 0.8 12.3 1.9 0.1 1.4 99.2 410 Laukaa 47.0 18.7 26.3 48.7 26.0 20.1 19.3 2.6 13.2 4.2 0.4 2.6 119.2 435 Luhanka 44.9 24.1 19.2 69.8 37.5 29.6 26.5 4.4 19.5 8.8 0.9 5.8 149.9 495 Multia 66.0 18.9 44.0 30.9 14.0 14.9 16.5 1.2 12.3 2.4 0.2 1.6 115.7 500 Muurame 38.6 17.2 20.1 71.6 38.4 29.8 21.9 3.1 16.1 6.2 0.8 3.9 138.3 592 Petäjävesi 51.7 16.9 32.4 44.5 22.9 19.2 16.9 1.7 12.2 3.2 0.3 1.9 116.3 601 Pihtipudas 52.4 9.8 39.4 27.6 8.6 16.7 18.7 0.9 14.3 3.4 0.3 2.2 102.0 729 Saarijärvi 61.4 18.5 40.2 35.7 16.2 17.4 19.6 1.5 14.7 3.1 0.2 2.1 119.8 850 Toivakka 51.4 22.0 27.4 46.1 23.3 20.2 21.5 3.3 15.0 5.5 0.6 3.5 124.5 892 Uurainen 54.1 17.6 33.9 40.5 20.9 17.4 16.7 1.7 12.1 2.8 0.2 1.7 114.1 931 Viitasaari 54.4 15.8 35.8 36.9 15.5 18.9 17.6 1.7 12.6 4.2 0.4 2.6 113.0 992 Äänekoski 53.8 20.5 31.2 51.8 26.8 22.3 18.6 2.3 13.5 3.8 0.4 2.2 128.1 Total 55.1 18.3 34.3 43.2 21.1 19.7 19.0 2.0 13.8 3.9 0.4 2.5 121.2 Pohjois-Savo 140 Iisalmi 29.8 8.0 20.4 47.4 21.6 22.9 24.0 2.3 18.1 5.8 0.4 3.3 107.0 174 Juankoski 40.3 12.9 25.6 51.4 25.3 23.3 20.4 2.1 14.8 5.6 0.4 3.3 117.6 204 Kaavi 53.6 16.7 34.4 44.4 20.3 21.5 17.4 1.6 12.3 3.2 0.2 2.0 118.6 227 Karttula 45.8 17.9 26.0 55.3 28.6 23.6 22.1 2.7 15.9 5.3 0.5 3.2 128.4 239 Keitele 48.8 15.1 31.2 45.0 21.4 20.9 19.6 2.0 13.9 3.0 0.2 1.7 116.3 263 Kiuruvesi 37.5 9.4 26.2 32.0 11.4 18.0 23.3 1.4 17.9 4.5 0.3 2.8 97.3 297 Kuopio 38.5 15.2 21.9 69.3 37.7 28.8 23.2 3.5 16.7 8.8 0.7 5.1 139.8 402 Lapinlahti 32.6 8.7 22.2 52.1 24.1 25.0 24.5 2.4 18.5 5.2 0.4 2.9 114.4 420 Leppävirta 41.2 16.1 23.6 72.4 37.9 31.1 24.1 3.4 17.8 6.6 0.4 3.8 144.3 476 Maaninka 31.9 10.0 20.4 59.9 29.4 27.4 23.8 2.6 17.7 5.6 0.5 3.2 121.2 534 Nilsiä 36.7 11.6 23.4 56.7 28.3 25.6 20.6 2.3 15.2 5.4 0.4 3.1 119.4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 166 Table 6a. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 595 Pielavesi 43.2 12.9 28.2 46.5 19.8 23.6 23.3 2.3 17.4 4.4 0.4 2.7 117.5 686 Rautalampi 49.7 20.2 27.4 50.0 24.5 22.5 22.2 3.1 15.8 5.0 0.4 3.1 126.8 687 Rautavaara 57.4 15.4 39.0 29.1 11.6 15.3 15.5 1.1 11.2 2.0 0.1 1.2 103.9 749 Siilinjärvi 27.7 9.2 17.3 62.3 32.7 26.7 21.8 2.4 16.3 6.4 0.4 3.6 118.1 762 Sonkajärvi 50.1 12.4 34.9 26.6 10.3 14.1 17.4 1.1 12.8 2.8 0.2 1.7 96.9 778 Suonenjoki 52.1 20.6 29.3 53.4 28.0 22.4 20.1 2.6 14.2 4.4 0.4 2.7 130.0 844 Tervo 41.9 17.1 23.1 49.9 24.2 22.7 24.6 3.3 17.7 5.5 0.4 3.4 121.9 857 Tuusniemi 36.5 13.6 21.5 66.5 33.9 29.4 23.5 3.2 17.3 7.2 0.4 4.2 133.6 915 Varkaus 48.0 19.8 26.6 68.0 34.7 29.9 25.2 3.7 18.7 6.6 0.4 4.1 147.8 916 Varpaisjärvi 39.7 12.0 25.8 43.4 19.9 20.9 19.7 1.9 14.6 4.6 0.4 2.7 107.4 921 Vesanto 47.8 17.8 28.0 49.4 24.9 21.9 20.8 2.7 14.8 4.4 0.4 2.6 122.3 925 Vieremä 44.8 11.5 30.8 28.8 10.7 15.7 20.6 1.3 15.4 3.6 0.3 2.3 97.8 Total 43.4 13.9 27.5 47.9 22.8 22.3 21.3 2.2 15.6 4.8 0.4 2.9 117.4 Pohjois-Karjala 146 Ilomantsi 67.2 20.6 42.9 20.4 9.4 9.6 13.4 1.2 9.1 1.8 0.1 0.9 102.9 167 Joensuu 54.5 20.4 31.8 43.0 21.6 19.1 19.2 2.6 13.1 3.4 0.2 1.8 120.1 176 Juuka 62.1 20.6 38.6 30.0 13.6 14.4 16.8 1.9 11.5 2.2 0.1 1.1 111.2 248 Kesälahti 62.9 26.5 34.1 39.4 18.2 19.2 21.1 2.5 15.1 4.3 0.2 2.6 127.7 260 Kitee 51.3 21.1 28.2 46.7 23.1 21.3 22.1 2.7 15.7 4.5 0.2 2.6 124.6 276 Kontiolahti 58.8 24.0 32.3 35.0 16.7 16.2 19.8 2.3 13.9 3.6 0.2 2.0 117.1 309 Outokumpu 60.6 24.3 33.9 36.9 16.3 18.3 19.6 2.3 14.6 4.9 0.3 3.1 122.0 422 Lieksa 66.5 22.7 40.2 19.5 8.3 9.7 14.1 1.3 9.5 2.1 0.1 1.0 102.1 426 Liperi 57.5 24.6 30.8 42.6 20.0 20.2 20.3 2.5 14.9 5.1 0.4 3.1 125.5 541 Nurmes 53.6 15.0 35.7 29.2 12.4 14.6 18.1 1.5 12.5 2.3 0.1 1.3 103.3 607 Polvijärvi 62.9 24.8 35.5 27.1 11.4 13.8 20.4 2.2 14.7 3.7 0.3 2.2 114.2 707 Rääkkylä 53.8 23.5 28.3 51.0 25.2 23.5 26.3 2.9 20.0 6.7 0.4 4.3 137.8 848 Tohmajärvi 56.1 19.7 34.1 43.2 21.1 19.7 18.2 2.4 12.5 2.9 0.2 1.5 120.4 911 Valtimo 49.1 12.2 34.2 30.3 11.1 16.7 19.0 1.1 14.0 2.6 0.2 1.6 101.0 Total 60.1 20.8 36.4 30.8 14.2 14.7 17.4 1.8 12.1 2.9 0.2 1.6 111.1 Kainuu 105 Hyrynsalmi 48.1 13.9 31.2 19.7 6.9 11.2 13.6 0.2 9.7 1.3 0.1 0.8 82.7 205 Kajaani 54.6 12.3 38.8 13.2 4.4 7.5 16.2 0.4 11.9 1.6 0.1 1.1 85.7 290 Kuhmo 57.8 19.3 34.7 15.5 4.8 9.2 11.2 0.4 7.5 0.8 0.0 0.4 85.3 578 Paltamo 52.7 14.4 35.5 24.2 9.6 12.9 16.6 0.5 12.2 2.2 0.1 1.4 95.7 620 Puolanka 41.9 8.8 30.2 19.2 6.4 11.2 13.3 0.2 9.6 1.4 0.1 1.0 75.7 697 Ristijärvi 49.8 13.2 33.4 20.3 7.0 11.5 14.5 0.3 10.1 1.3 0.1 0.8 85.9 765 Sotkamo 53.7 14.3 36.3 23.4 8.3 13.1 15.9 0.6 11.5 1.9 0.1 1.3 94.8 777 Suomussalmi 45.9 12.4 30.3 14.0 3.8 8.9 9.3 0.1 6.5 1.0 0.0 0.7 70.2 785 Vaala 50.3 8.7 37.2 6.5 1.8 4.1 13.3 0.1 10.2 0.7 0.0 0.5 70.7 Total 50.7 13.8 33.5 16.7 5.4 9.8 12.6 0.3 9.0 1.2 0.1 0.8 81.2 Pohjois-Pohjanmaa 009 Alavieska 51.0 8.2 38.6 14.6 4.0 9.1 15.1 0.3 11.8 2.4 0.3 1.6 83.0 069 Haapajärvi 50.1 9.7 37.1 24.1 7.6 14.6 21.0 0.8 16.5 3.6 0.3 2.5 98.8 071 Haapavesi 47.8 8.7 35.6 16.4 4.8 10.0 20.5 0.6 16.3 2.8 0.2 1.9 87.4 072 Hailuoto 43.1 9.7 29.9 8.4 2.5 5.1 11.4 0.1 8.8 1.8 0.1 1.3 64.8 084 Haukipudas 52.6 11.5 37.2 13.7 4.3 8.3 12.6 0.1 9.8 1.6 0.1 1.1 80.5 139 Ii 46.4 9.1 33.8 13.1 3.6 8.1 12.8 0.1 9.4 1.3 0.1 0.9 73.6 208 Kalajoki 49.8 7.2 38.1 11.3 2.7 7.3 16.2 0.3 12.9 1.8 0.1 1.2 79.1 244 Kempele 48.9 10.2 34.7 13.0 3.8 8.1 17.8 0.2 13.9 2.2 0.1 1.4 81.8 255 Kiiminki 57.0 12.0 40.4 15.5 5.2 9.0 12.4 0.1 9.7 1.6 0.1 1.1 86.5 305 Kuusamo 41.5 9.5 29.1 16.6 4.2 11.0 8.2 0.1 5.9 0.8 0.0 0.5 67.1 317 Kärsämäki 50.8 8.9 38.2 19.6 6.3 11.7 21.8 0.5 17.2 2.7 0.2 2.0 94.9 425 Liminka 44.9 7.5 33.0 7.0 1.6 4.6 17.0 0.2 13.1 1.7 0.1 1.2 70.6 436 Lumijoki 42.8 8.6 30.6 9.4 2.4 6.0 19.3 0.3 15.1 2.4 0.1 1.7 74.0 483 Merijärvi 46.5 7.9 34.9 16.2 4.1 10.2 16.6 0.3 13.0 2.3 0.3 1.6 81.5 494 Muhos 49.2 8.7 35.9 6.7 1.9 4.2 12.1 0.1 9.3 0.9 0.1 0.7 68.8 535 Nivala 48.8 9.9 35.7 22.5 7.2 13.5 19.0 0.7 15.0 3.9 0.4 2.5 94.3 563 Oulainen 44.0 8.0 32.7 16.4 4.5 10.1 16.6 0.4 13.1 2.8 0.3 1.9 79.7 564 Oulu 57.2 11.4 41.1 12.0 3.5 7.5 12.2 0.1 9.4 1.1 0.1 0.8 82.5 567 Oulunsalo 47.7 10.8 33.5 13.0 3.7 8.2 16.4 0.2 12.7 2.3 0.2 1.4 79.4 615 Pudasjärvi 44.4 7.3 33.5 11.1 2.5 7.4 9.4 0.1 6.6 0.6 0.0 0.5 65.6 625 Pyhäjoki 47.4 7.2 35.9 12.5 3.1 8.0 16.9 0.3 13.6 2.1 0.2 1.4 78.9 626 Pyhäsalmi 47.2 9.3 34.9 24.1 7.3 14.7 21.1 0.7 16.8 3.1 0.2 2.2 95.4 630 Pyhäntä 53.1 9.4 39.2 10.2 2.9 6.4 15.9 0.2 12.2 1.2 0.1 0.9 80.4 678 Raahe 51.3 10.7 36.5 12.4 3.9 7.5 16.4 0.2 12.7 2.1 0.2 1.5 82.2 691 Reisjärvi 51.8 8.7 39.1 19.3 6.1 11.5 19.4 0.6 15.2 2.9 0.2 2.0 93.4 746 Sievi 50.3 7.9 38.1 12.9 3.8 7.8 16.8 0.5 13.3 2.2 0.2 1.4 82.2 748 Siikajoki 46.8 8.6 34.1 7.9 2.1 5.1 16.1 0.2 12.4 1.7 0.1 1.2 72.6 791 Siikalatva 52.5 8.8 39.1 9.2 2.5 5.9 18.6 0.2 14.3 1.5 0.1 1.1 81.8 832 Taivalkoski 43.3 9.6 30.9 17.9 5.0 11.5 8.9 0.1 6.4 1.2 0.0 0.9 71.2 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 167 Table 6a. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 859 Tyrnävä 47.8 8.1 35.1 6.8 1.7 4.4 14.4 0.1 11.1 1.3 0.1 0.9 70.3 889 Utajärvi 52.8 9.0 39.1 6.6 1.7 4.2 11.1 0.1 8.5 0.5 0.0 0.4 71.0 926 Vihanti 48.1 9.4 34.9 12.2 3.4 7.7 17.3 0.3 13.5 2.0 0.1 1.5 79.6 972 Yli-Ii 50.4 9.1 37.1 9.9 2.5 6.4 12.1 0.1 8.9 0.8 0.0 0.6 73.2 977 Ylivieska 48.7 9.3 35.9 16.5 4.7 10.2 18.5 0.5 14.6 3.0 0.3 2.0 86.7 Total 47.2 8.9 34.6 13.7 3.7 8.7 13.4 0.2 10.2 1.5 0.1 1.0 75.8 Lapland 047 Enontekiö 17.9 3.2 13.8 1.5 0.3 1.0 12.2 0.0 3.8 0.1 0.0 0.0 31.7 148 Inari 39.6 6.3 31.1 2.7 0.7 1.9 6.5 0.0 3.0 0.1 0.0 0.0 48.9 240 Kemi 14.3 2.1 10.4 40.3 12.0 24.5 20.5 0.1 15.8 7.1 0.1 5.1 82.1 241 Keminmaa 21.3 3.1 16.2 32.9 7.5 21.6 23.7 0.2 18.7 3.7 0.1 2.6 81.7 261 Kittilä 30.8 5.8 22.8 9.7 2.4 6.3 7.9 0.0 5.7 0.4 0.0 0.2 48.8 273 Kolari 41.9 11.0 27.7 8.5 1.1 5.8 7.6 0.1 5.1 0.6 0.0 0.4 58.7 320 Kemijärvi 43.1 8.5 31.4 7.7 1.3 5.4 7.7 0.0 5.1 0.2 0.0 0.1 58.8 498 Muonio 39.9 8.0 29.8 11.0 2.7 7.4 5.7 0.0 3.5 0.6 0.0 0.3 57.1 583 Pelkosenniemi 31.4 5.2 23.5 11.0 2.0 7.8 11.3 0.0 7.5 0.4 0.0 0.1 54.0 614 Posio 41.2 8.5 29.8 11.0 2.7 7.4 5.7 0.1 3.9 0.5 0.0 0.3 58.3 683 Ranua 37.3 5.6 28.5 9.0 1.6 6.2 8.3 0.0 5.6 0.5 0.0 0.3 55.0 698 Rovaniemi 40.4 8.1 28.9 9.2 1.7 6.2 7.9 0.0 5.5 0.6 0.0 0.4 58.1 732 Salla 29.4 5.0 22.3 15.0 3.5 10.2 8.4 0.0 5.6 0.4 0.0 0.2 53.2 742 Savukoski 34.9 6.6 26.0 9.8 2.3 6.7 6.0 0.0 4.0 0.2 0.0 0.1 50.9 751 Simo 35.0 5.3 26.7 15.1 3.9 9.5 14.0 0.1 10.1 1.7 0.1 1.2 65.9 758 Sodankylä 33.2 6.4 24.4 9.3 2.1 6.4 6.7 0.0 4.6 0.3 0.0 0.1 49.4 845 Tervola 27.5 4.2 20.8 21.8 4.2 15.0 19.8 0.2 15.0 1.7 0.0 1.1 70.9 851 Tornio 18.1 2.5 13.6 32.5 6.5 22.5 23.4 0.1 17.9 4.1 0.0 3.1 78.1 854 Pello 37.0 8.6 25.2 11.9 2.7 7.7 11.1 0.1 7.8 1.7 0.1 1.0 61.7 890 Utsjoki 3.0 0.1 2.5 0.3 0.0 0.2 12.1 0.0 2.4 0.1 0.0 0.0 15.4 976 Ylitornio 32.0 5.6 23.0 11.3 1.6 7.8 10.9 0.0 7.6 0.6 0.0 0.5 54.8 Total 33.9 6.0 25.7 6.8 1.5 4.6 8.2 0.0 4.5 0.3 0.0 0.2 49.3 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 168 Table 6b. The growing stock volume by tree species and roundwood assortment on forest land and poorly productive forest land by forestry centres. Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 Åland 035 Brändö 189 30 138 52 14 32 111 4 69 131 4 89 483 043 Eckerö 537 133 369 202 68 118 151 12 112 80 2 63 970 060 Finström 546 140 372 245 83 143 185 15 137 120 4 95 1 096 062 Föglö 645 132 470 198 61 122 139 8 103 91 3 72 1 073 065 Geta 349 69 250 98 31 59 66 4 49 34 1 27 547 076 Hammarland 642 158 442 258 85 153 200 16 149 108 3 86 1 207 170 Jomala 605 162 408 269 93 156 193 16 141 123 3 97 1 191 295 Kumlinge 269 33 200 27 7 17 77 2 45 83 3 53 456 318 Kökar 9 1 6 3 1 3 40 0 16 37 0 24 89 417 Lemland 538 137 368 247 82 146 188 14 140 108 4 86 1 081 438 Lumparland 192 43 135 65 22 38 41 3 31 23 1 18 321 478 Mariehamn-Maarianhamina 27 5 19 9 3 5 10 1 7 10 0 7 55 736 Saltvik 713 153 507 222 73 132 133 9 99 69 2 54 1 137 766 Sottunga 62 10 46 15 4 9 19 1 12 18 0 12 113 771 Sund 539 122 380 185 61 110 121 9 90 63 2 49 909 941 Vårdö 446 87 323 124 39 75 73 4 54 34 1 26 677 Total 6 307 1 417 4 431 2 219 727 1 318 1 747 117 1 253 1 131 34 858 11 405 Rannikko/Etelärannikko 049 Espoo-Esbo 947 353 556 1 049 497 492 413 84 284 164 27 107 2 574 078 Hanko-Hangö 582 207 350 426 186 215 116 16 85 35 6 24 1 160 091 Helsinki-Helsingfors 399 156 226 417 203 188 206 40 143 96 15 68 1 118 092 Vantaa-Vanda 405 159 231 623 289 295 350 70 241 157 24 106 1 534 149 Ingå-Inkoo 1 370 494 817 1 044 454 524 356 63 247 140 27 93 2 910 235 Kauniainen-Grankulla 13 5 8 12 5 6 5 1 4 2 0 1 33 257 Kirkkonummi-Kyrkslätt 1 323 464 799 1 075 482 524 398 72 277 158 27 104 2 953 322 Kemiönsaari 3 306 1 136 2 029 1 657 702 859 462 62 337 163 26 114 5 587 407 Lapinjärvi-Lappträsk 937 371 532 1 566 686 794 462 85 322 125 30 74 3 090 424 Liljendal 320 125 183 485 212 246 140 27 96 38 9 22 983 434 Loviisa-Lovisa 197 74 115 222 101 108 57 11 40 15 3 10 490 444 Länsi-Turunmaa 4 172 1 344 2 628 1 781 686 974 645 76 470 312 52 215 6 909 585 Pernå-Pernaja 1 580 601 919 2 109 944 1 048 625 119 436 185 41 117 4 499 638 Porvoo-Borgå 2 253 850 1 317 2 896 1 294 1 440 876 173 609 296 63 189 6 322 701 Ruotsinpyhtää-Strömfors 993 379 576 1 337 575 683 477 86 335 123 28 75 2 931 710 Raasepori 5 588 2 084 3 303 4 418 1 987 2 194 1 245 186 894 411 75 280 11 663 753 Sipoo-Sibbo 1 006 396 572 1 607 779 744 502 102 347 202 38 132 3 316 755 Siuntio-Sjundeå 645 239 378 692 300 348 279 47 193 115 23 70 1 730 Total 26 037 9 436 15 540 23 416 10 381 11 681 7 614 1 320 5 360 2 737 515 1 802 59 803 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 20 4 14 20 6 12 18 1 13 3 0 2 60 280 Korsnäs 710 173 496 761 232 467 478 20 344 88 9 63 2 036 287 Kristinestad-Kristiinankaupunki 2 775 644 1 963 1 856 730 992 769 41 558 130 9 88 5 530 288 Kronoby-Kruunupyy 2 926 559 2 166 1 198 381 708 1 061 37 831 143 17 98 5 327 440 Larsmo-Luoto 538 90 406 295 101 169 225 8 167 60 10 41 1 119 475 Malax-Maalahti 1 451 330 1 028 1 432 438 877 957 38 692 184 15 135 4 024 499 Korsholm-Mustasaari 2 239 450 1 665 3 026 1 048 1 761 1 681 59 1 261 395 18 305 7 341 545 Närpes-Närpiö 3 314 757 2 353 2 479 867 1 418 1 191 53 855 142 16 93 7 126 559 Oravais-Oravainen 560 105 417 417 123 253 359 14 265 55 6 37 1 391 598 Jakobstad-Pietarsaari 269 48 202 141 38 88 145 4 112 21 2 15 575 599 Pedersöre-Pedersören kunta 3 128 566 2 344 1 356 402 825 1 261 40 990 142 17 96 5 887 893 Nykarleby-Uusikaarlepyy 2 726 528 2 026 1 405 422 853 1 181 48 890 157 21 101 5 469 905 Vaasa-Vasa 426 94 311 750 267 436 360 14 270 86 4 66 1 622 945 Vörå-Maxmo Vöyri-Maksamaa 1 560 324 1 138 1 569 508 933 1 072 45 780 200 16 145 4 401 Total 22 639 4 672 16 528 16 705 5 563 9 792 10 756 423 8 029 1 807 159 1 285 51 907 Lounais-Suomi 019 Aura 267 102 155 198 85 101 68 8 48 28 5 19 560 050 Eura 2 339 896 1 368 1 703 672 909 692 67 504 192 26 151 4 927 051 Eurajoki 1 269 427 801 1 204 475 634 475 36 338 94 8 70 3 042 079 Harjavalta 407 132 260 395 161 206 168 15 122 24 2 19 994 099 Honkajoki 1 419 347 987 245 92 133 271 18 199 30 3 18 1 965 102 Huittinen 1 460 504 901 1 636 717 821 629 71 443 111 16 81 3 836 181 Jämijärvi 741 225 476 453 205 215 242 18 180 49 4 34 1 485 202 Kaarina 479 173 288 291 117 155 117 13 84 60 10 41 947 214 Kankaanpää 2 894 809 1 924 1 278 592 600 725 47 535 146 12 100 5 042 230 Karvia 2 249 552 1 561 389 136 222 386 26 280 44 4 26 3 068 254 Kiikoinen 513 177 315 500 225 245 171 15 126 23 1 17 1 208 271 Kokemäki 1 690 562 1 058 1 479 652 734 638 62 461 113 6 92 3 920 284 Koski T.l. 491 218 258 505 242 241 196 21 140 43 10 26 1 234 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 169 Table 6b. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 304 Kustavi 746 221 487 224 78 129 97 11 71 49 7 34 1 117 319 Köyliö 1 194 460 699 579 255 287 214 19 151 46 5 37 2 033 400 Laitila 2 284 833 1 376 1 254 464 692 512 55 375 139 22 106 4 189 413 Lavia 1 487 515 913 1 131 510 551 410 39 308 66 4 49 3 094 423 Lieto 680 259 399 430 184 221 137 18 98 54 9 39 1 302 430 Loimaa 2 017 862 1 093 2 109 1 032 979 688 78 496 175 47 108 4 988 442 Luvia 891 288 578 694 268 383 328 25 257 67 10 49 1 979 480 Marttila 587 217 348 461 198 236 171 21 123 60 12 41 1 279 481 Masku 701 245 429 362 142 195 141 16 101 63 10 44 1 266 484 Merikarvia 1 902 550 1 256 1 597 752 749 572 35 428 166 12 117 4 237 503 Mynämäki 2 221 781 1 354 1 250 488 679 523 62 379 159 29 112 4 153 529 Naantali 1 287 408 819 472 178 261 173 19 126 88 13 62 2 020 531 Nakkila 523 159 343 548 218 291 231 19 171 44 5 33 1 346 537 Noormarkku 1 380 484 843 1 469 665 722 518 50 381 102 13 73 3 469 538 Nousiainen 805 293 484 486 203 254 160 20 116 51 9 36 1 503 561 Oripää 369 133 223 241 103 125 89 11 64 25 4 18 725 577 Paimio 933 346 556 571 243 294 186 23 133 75 12 53 1 765 608 Pomarkku 1 320 484 783 1 538 766 699 432 46 312 79 7 59 3 369 609 Pori 1 880 669 1 156 1 777 717 948 781 76 585 183 29 126 4 620 631 Pyhäranta 688 248 419 471 177 264 189 22 143 63 4 51 1 410 636 Pöytyä 3 086 1 115 1 856 2 026 845 1 061 750 93 544 223 45 153 6 085 680 Raisio 146 51 89 73 29 39 31 4 22 16 2 11 266 684 Rauma 2 204 791 1 338 1 404 566 744 553 49 413 179 14 137 4 339 704 Rusko 485 177 291 301 124 159 108 13 79 36 6 25 930 734 Salo 7 977 3 022 4 682 6 165 2 757 3 076 1 898 248 1 364 685 130 471 16 725 738 Sauvo 977 346 595 549 222 293 189 23 138 78 14 54 1 794 747 Siikainen 2 104 590 1 404 1 441 690 663 615 37 457 155 12 109 4 314 761 Somero 1 781 705 1 014 2 235 1 060 1 059 725 92 506 145 25 97 4 886 783 Säkylä 725 283 420 371 161 187 145 15 105 47 9 36 1 288 833 Taivassalo 545 172 350 193 70 109 81 8 59 41 6 29 861 838 Tarvasjoki 300 113 176 226 96 116 77 10 55 33 6 22 634 853 Turku-Åbo 717 257 434 422 169 224 187 21 133 94 14 67 1 421 886 Ulvila 1 539 509 964 1 603 687 812 624 60 453 109 12 81 3 875 895 Uusikaupunki 2 249 751 1 408 953 351 532 435 46 313 178 27 125 3 815 918 Vehmaa 699 237 435 300 111 167 137 15 98 59 9 41 1 195 Total 65 648 22 697 40 360 46 202 19 949 23 416 17 885 1 814 13 015 4 786 701 3 399 134 521 Häme-Uusimaa 015 Artjärvi 390 155 221 731 337 357 204 37 140 73 15 44 1 399 016 Asikkala 1 805 798 942 3 164 1 570 1 439 1 032 183 717 330 44 220 6 330 018 Askola 472 192 262 948 428 471 279 56 190 98 23 57 1 796 061 Forssa 529 254 256 1 214 630 534 309 43 222 70 11 48 2 122 081 Hartola 1 864 933 868 3 555 1 844 1 566 1 165 204 822 310 33 210 6 894 082 Hattula 1 068 457 574 1 469 661 719 578 98 403 191 33 120 3 307 086 Hausjärvi 802 376 393 1 436 671 697 356 54 243 109 14 71 2 703 098 Hollola 1 091 519 534 2 393 1 209 1 075 589 79 415 212 29 137 4 285 103 Humppila 367 160 195 663 342 297 135 13 100 42 7 28 1 206 106 Hyvinkää 827 362 429 1 509 720 720 415 67 287 127 17 83 2 877 109 Hämeenlinna 5 532 2 537 2 806 10 689 5 203 4 969 2 858 458 2 002 751 128 486 19 830 111 Heinola 3 297 1 592 1 591 3 403 1 749 1 494 1 416 266 967 393 54 255 8 510 165 Janakkala 1 415 652 715 2 639 1 273 1 237 717 122 495 238 38 156 5 009 169 Jokioinen 259 105 144 677 343 308 151 17 110 49 4 37 1 136 186 Järvenpää 44 18 24 87 39 42 40 7 27 21 3 13 191 223 Karjalohja 367 132 218 346 148 176 185 29 129 70 13 44 968 224 Karkkila 839 329 479 1 185 544 575 385 71 265 134 29 81 2 543 245 Kerava 49 19 27 71 32 35 38 7 26 18 3 12 176 283 Hämeenkoski 360 172 175 1 021 496 478 244 31 172 81 11 52 1 705 316 Kärkölä 434 190 225 1 133 533 546 275 37 185 84 10 53 1 926 398 Lahti 268 113 145 468 248 197 149 20 103 64 7 41 949 433 Loppi 2 039 878 1 088 2 997 1 441 1 401 871 157 597 277 48 173 6 184 444 Lohja 870 323 509 974 424 489 463 76 317 205 35 126 2 512 504 Myrskylä-Mörskom 513 206 288 957 414 490 311 58 215 102 25 59 1 883 505 Mäntsälä 1 241 559 628 3 181 1 516 1 527 687 107 468 192 28 123 5 301 532 Nastola 1 030 454 536 1 409 697 644 528 85 368 185 24 120 3 153 540 Nummi-Pusula 1 563 582 919 1 552 673 783 668 109 463 231 46 141 4 013 543 Nurmijärvi 632 248 357 972 438 473 434 74 297 205 33 126 2 242 560 Orimattila 1 381 620 708 2 430 1 186 1 121 634 92 436 215 30 138 4 659 576 Padasjoki 2 095 932 1 093 3 448 1 641 1 627 949 179 653 286 57 181 6 779 611 Pornainen 344 133 197 604 269 301 218 41 152 88 19 54 1 254 616 Pukkila 260 104 146 534 230 273 189 34 131 73 16 43 1 056 694 Riihimäki 227 101 116 504 249 233 144 24 98 56 8 36 931 781 Sysmä 2 501 1 408 1 015 4 093 2 208 1 729 1 425 281 990 485 58 338 8 503 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 170 Table 6b. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 834 Tammela 2 451 978 1 382 3 289 1 594 1 514 1 116 175 795 140 27 96 6 996 858 Tuusula 347 139 193 701 319 342 306 55 211 146 24 94 1 500 927 Vihti 1 553 589 903 2 017 904 995 748 135 516 292 57 178 4 610 981 Ypäjä 328 133 184 728 369 331 159 16 118 48 6 35 1 263 Total 41 450 18 452 21 488 69 191 33 594 32 203 21 369 3 599 14 848 6 690 1 064 4 311 138 700 Kaakkois-Suomi 075 Hamina 2 780 1 031 1 632 2 125 978 1 030 732 83 538 172 27 118 5 809 142 Iitti 1 989 900 1 020 3 026 1 577 1 315 983 179 687 268 41 169 6 267 153 Imatra 497 215 268 688 324 334 225 32 166 65 6 44 1 475 285 Kotka 1 078 431 603 707 301 361 301 36 218 75 7 51 2 162 286 Kouvola 11 970 5 248 6 271 9 975 5 007 4 454 3 577 555 2 484 854 123 547 26 375 405 Lappeenranta 4 229 1 704 2 367 3 945 1 918 1 834 1 329 164 969 361 45 242 9 864 416 Lemi 983 401 541 796 378 377 302 42 213 67 7 45 2 148 441 Luumäki 3 867 1 476 2 226 2 934 1 414 1 364 1 048 120 767 215 33 145 8 064 489 Miehikkälä 1 982 671 1 226 1 748 810 850 532 55 395 117 21 82 4 379 580 Parikkala 2 155 857 1 223 2 491 1 100 1 275 1 067 127 795 283 19 192 5 996 624 Pyhtää-Pyttis 1 153 443 665 1 287 547 662 511 87 363 133 32 83 3 085 689 Rautjärvi 1 355 566 749 1 909 847 967 726 94 537 202 18 136 4 192 700 Ruokolahti 5 764 2 482 3 081 3 621 1 678 1 763 1 635 212 1 192 360 32 236 11 380 739 Savitaipale 3 250 1 326 1 785 1 477 645 743 782 108 544 139 11 89 5 647 775 Suomenniemi 2 040 852 1 102 833 358 423 424 65 291 86 6 56 3 383 831 Taipalsaari 2 235 920 1 221 852 356 451 530 85 370 97 7 59 3 714 935 Virolahti 1 590 538 983 1 391 604 713 406 40 301 91 16 64 3 479 978 Ylämaa 1 962 700 1 184 1 747 845 814 535 56 400 115 20 79 4 359 Total 50 880 20 762 28 147 41 550 19 686 19 733 15 646 2 141 11 231 3 701 473 2 437 111 777 Pirkanmaa 020 Akaa 184 87 90 349 161 167 139 20 97 32 5 21 703 108 Hämeenkyrö 1 388 520 813 1 966 907 944 892 111 646 195 27 131 4 440 143 Ikaalinen 3 246 1 110 2 000 2 699 1 252 1 282 1 123 118 810 226 27 152 7 295 177 Juupajoki 1 044 438 569 1 389 702 617 425 56 307 87 13 58 2 945 211 Kangasala 1 395 656 698 2 205 1 076 1 005 862 149 620 216 33 150 4 679 250 Kihniö 2 098 540 1 448 616 223 335 473 31 342 57 9 35 3 244 289 Kuhmalahti 551 239 292 818 370 401 270 47 186 84 15 53 1 724 310 Kylmäkoski 462 210 235 831 399 392 252 38 179 55 10 39 1 600 418 Lempäälä 560 252 292 1 365 683 606 487 102 335 144 19 105 2 555 508 Mänttä-Vilppula 2 267 891 1 295 3 191 1 601 1 427 1 038 140 747 267 32 186 6 762 536 Nokia 770 367 383 1 286 619 599 524 95 368 135 26 92 2 716 562 Orivesi 3 081 1 316 1 660 4 605 2 324 2 053 1 422 202 1 024 307 46 205 9 416 581 Parkano 4 582 1 254 3 086 1 633 659 839 1 028 67 752 157 17 103 7 400 604 Pirkkala 147 65 78 382 188 173 146 32 100 49 7 36 724 619 Punkalaidun 1 124 536 553 1 336 673 603 378 37 273 93 24 58 2 931 635 Pälkäne 1 591 739 797 3 692 1 789 1 735 957 183 662 340 58 227 6 579 702 Ruovesi 3 620 1 413 2 077 4 436 2 231 1 989 1 279 169 925 292 36 202 9 627 790 Sastamala 4 694 1 602 2 897 5 219 2 455 2 460 1 916 248 1 358 330 38 232 12 160 837 Tampere 1 825 782 982 2 876 1 432 1 300 962 153 692 212 32 143 5 875 887 Urjala 1 428 651 732 2 302 1 146 1 058 664 76 482 172 38 111 4 565 908 Valkeakoski 599 287 293 1 207 578 562 468 93 323 140 27 95 2 415 922 Vesilahti 857 439 394 1 564 815 674 447 83 309 93 20 63 2 961 936 Virrat 6 436 1 936 4 170 3 477 1 460 1 778 1 453 109 1 069 234 33 148 11 600 980 Ylöjärvi 5 488 1 989 3 292 5 163 2 432 2 437 1 868 226 1 355 361 47 247 12 880 Total 49 438 18 318 29 126 54 607 26 174 25 432 19 474 2 586 13 961 4 279 640 2 890 127 798 Etelä-Savo 046 Enonkoski 1 377 608 727 1 650 748 817 548 69 407 173 16 116 3 748 090 Heinävesi 4 415 1 696 2 578 5 704 2 591 2 795 1 897 234 1 423 516 31 348 12 532 097 Hirvensalmi 2 189 1 117 1 002 2 228 1 086 1 035 1 135 221 770 379 49 243 5 930 171 Joroinen 2 457 986 1 377 2 621 1 398 1 088 904 101 632 208 21 126 6 191 178 Juva 5 991 2 621 3 134 5 066 2 530 2 261 1 883 273 1 289 446 56 284 13 387 213 Kangasniemi 4 824 2 162 2 462 4 657 2 406 2 008 1 845 278 1 231 486 55 308 11 812 246 Kerimäki 2 445 1 051 1 306 2 654 1 211 1 314 1 075 128 787 261 24 174 6 435 491 Mikkeli 7 804 3 609 3 896 7 077 3 480 3 209 3 151 495 2 159 854 110 544 18 887 507 Mäntyharju 6 217 2 739 3 233 3 485 1 603 1 690 1 777 283 1 219 429 47 275 11 908 588 Pertunmaa 1 430 693 690 1 940 938 902 899 165 611 256 32 163 4 525 593 Pieksämäki 7 455 2 894 4 232 6 578 3 326 2 849 2 685 334 1 889 594 51 367 17 312 618 Punkaharju 2 489 1 073 1 335 2 366 1 115 1 146 883 110 648 199 16 133 5 938 623 Puumala 6 033 2 440 3 354 1 867 794 978 1 346 181 977 240 12 142 9 485 681 Rantasalmi 2 310 964 1 266 2 323 1 028 1 164 977 114 719 302 26 206 5 912 696 Ristiina 3 331 1 539 1 668 2 251 1 074 1 057 1 074 176 744 272 32 175 6 928 740 Savonlinna 6 513 2 840 3 452 5 690 2 557 2 842 2 275 291 1 662 577 46 385 15 056 768 Sulkava 3 529 1 539 1 860 1 950 874 970 1 021 130 733 219 16 142 6 720 Total 70 810 30 570 37 571 60 108 28 758 28 125 25 376 3 584 17 899 6 410 641 4 131 162 704 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 171 Table 6b. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 Etelä-Pohjanmaa 005 Alajärvi 5 566 1 435 3 814 1 087 404 593 1 036 69 752 129 14 83 7 818 010 Alavus 3 910 1 086 2 589 887 322 504 737 55 532 80 9 46 5 613 052 Evijärvi 1 333 243 986 393 123 229 468 18 358 76 10 53 2 271 074 Halsua 1 872 396 1 316 191 78 96 400 16 302 46 2 38 2 509 095 Himanka 1 167 230 855 351 114 205 312 8 245 46 5 32 1 876 145 Ilmajoki 1 942 482 1 336 936 353 508 501 34 363 59 6 38 3 437 151 Isojoki 2 955 667 2 097 1 136 469 585 617 37 457 75 6 51 4 783 152 Isokyrö 893 184 643 510 155 305 409 17 293 66 10 44 1 879 164 Jalasjärvi 3 336 874 2 266 838 301 472 652 50 463 93 13 54 4 920 217 Kannus 1 926 359 1 414 453 141 267 598 18 468 49 4 37 3 026 218 Karijoki 756 148 556 381 146 209 159 7 114 16 2 10 1 312 232 Kauhajoki 5 234 1 017 3 848 1 332 484 754 800 46 578 62 5 39 7 428 233 Kauhava 4 788 918 3 519 1 132 338 667 1 251 47 944 279 35 197 7 449 236 Kaustinen 1 456 272 1 073 346 103 208 402 12 313 52 5 37 2 255 272 Kokkola-Karleby 5 803 1 094 4 265 1 816 596 1 054 1 687 56 1 300 253 29 177 9 558 300 Kuortane 2 553 734 1 684 512 198 273 470 30 336 49 5 28 3 584 301 Kurikka 3 314 730 2 355 1 594 582 886 859 48 615 105 12 67 5 873 399 Laihia 1 648 366 1 174 1 102 354 650 747 34 545 118 19 79 3 614 403 Lappajärvi 1 911 394 1 385 457 143 266 509 22 390 105 11 77 2 981 408 Lapua 2 729 560 1 985 838 270 491 774 33 590 128 14 91 4 470 421 Lestijärvi 1 963 366 1 440 532 177 312 586 18 442 91 7 65 3 171 584 Perho 3 440 697 2 483 688 242 387 737 25 556 96 6 67 4 961 743 Seinäjoki 5 193 1 282 3 577 1 538 534 861 1 421 100 1 030 207 21 131 8 359 759 Soini 3 068 799 2 103 796 315 422 610 41 452 91 7 63 4 565 846 Teuva 2 102 396 1 549 1 003 378 551 477 22 335 58 6 37 3 639 849 Toholampi 2 230 458 1 599 599 201 343 624 23 480 73 5 57 3 526 863 Töysä 1 803 548 1 164 411 167 212 275 18 193 30 3 17 2 519 924 Veteli 2 034 379 1 504 498 160 293 545 18 425 75 7 54 3 151 934 Vimpeli 1 180 238 858 309 106 178 326 12 252 48 4 34 1 863 942 Vähäkyrö 301 71 210 298 90 183 244 10 173 55 4 39 898 989 Ähtäri 4 841 1 366 3 234 1 614 656 845 1 039 89 753 162 16 107 7 656 Total 83 246 18 787 58 881 24 577 8 700 13 809 20 272 1 032 15 049 2 873 302 1 948 130 968 Keski-Suomi 077 Hankasalmi 1 989 778 1 119 2 386 1 309 955 1 002 121 692 197 17 123 5 575 172 Joutsa 3 738 1 754 1 854 4 479 2 250 2 012 1 865 333 1 296 487 49 324 10 569 179 Jyväskylä 4 193 1 802 2 230 5 629 3 004 2 343 2 007 275 1 447 512 60 327 12 341 182 Jämsä 6 634 2 524 3 813 6 632 3 464 2 810 2 270 269 1 608 517 53 333 16 052 216 Kannonkoski 2 601 779 1 711 1 355 591 684 690 56 514 123 8 88 4 770 226 Karstula 4 836 1 255 3 330 1 812 734 949 1 305 82 992 171 10 118 8 124 249 Keuruu 7 011 2 341 4 385 4 693 2 132 2 283 1 971 207 1 420 369 50 245 14 044 256 Kinnula 2 355 516 1 684 799 293 445 673 29 513 95 7 66 3 922 265 Kivijärvi 2 828 778 1 909 1 143 489 577 669 45 506 100 7 70 4 740 275 Konnevesi 2 061 814 1 163 2 572 1 399 1 042 966 107 710 198 18 115 5 797 291 Kuhmoinen 2 708 1 171 1 437 3 771 2 029 1 560 1 019 142 730 272 35 183 7 769 312 Kyyjärvi 2 369 551 1 678 583 218 316 580 30 446 70 4 50 3 603 410 Laukaa 2 295 911 1 282 2 378 1 271 982 943 125 645 207 20 128 5 822 435 Luhanka 807 434 345 1 256 674 532 476 78 350 158 16 104 2 696 495 Multia 4 330 1 242 2 891 2 027 920 978 1 081 77 806 156 12 108 7 595 500 Muurame 441 197 229 819 439 341 250 36 184 71 9 45 1 581 592 Petäjävesi 1 971 643 1 236 1 698 872 732 645 64 466 121 10 72 4 435 601 Pihtipudas 4 773 894 3 589 2 511 788 1 518 1 706 81 1 301 309 24 198 9 299 729 Saarijärvi 6 479 1 949 4 242 3 770 1 709 1 837 2 069 159 1 548 323 22 222 12 642 850 Toivakka 1 563 668 833 1 401 709 615 653 100 454 166 19 108 3 783 892 Uurainen 1 561 508 979 1 170 602 501 481 48 348 80 6 48 3 292 931 Viitasaari 5 937 1 728 3 915 4 027 1 691 2 069 1 921 188 1 373 458 39 284 12 343 992 Äänekoski 4 083 1 553 2 366 3 931 2 033 1 692 1 414 171 1 023 291 29 167 9 719 Total 77 565 25 790 48 219 60 842 29 618 27 772 26 656 2 821 19 371 5 448 523 3 524 170 512 Pohjois-Savo 140 Iisalmi 1 669 445 1 139 2 649 1 207 1 281 1 342 128 1 010 324 25 183 5 984 174 Juankoski 1 453 464 921 1 852 912 841 735 77 535 201 13 119 4 241 204 Kaavi 3 174 990 2 036 2 626 1 203 1 271 1 027 95 729 190 9 116 7 018 227 Karttula 1 911 746 1 087 2 306 1 193 984 922 114 662 220 21 135 5 359 239 Keitele 2 037 632 1 306 1 880 893 873 819 81 580 124 9 72 4 859 263 Kiuruvesi 3 815 958 2 660 3 257 1 160 1 826 2 365 139 1 819 456 31 288 9 893 297 Kuopio 3 425 1 352 1 950 6 176 3 361 2 568 2 065 316 1 491 788 63 454 12 454 402 Lapinlahti 1 506 403 1 026 2 411 1 115 1 157 1 131 109 855 240 19 132 5 288 420 Leppävirta 3 891 1 523 2 230 6 843 3 582 2 935 2 281 323 1 678 619 40 362 13 633 476 Maaninka 1 093 344 700 2 056 1 008 940 815 90 607 192 16 111 4 157 534 Nilsiä 2 066 653 1 318 3 195 1 595 1 442 1 160 127 857 303 24 172 6 724 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 172 Table 6b. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 595 Pielavesi 4 113 1 226 2 685 4 427 1 885 2 248 2 218 214 1 652 422 37 254 11 181 686 Rautalampi 2 253 915 1 243 2 267 1 113 1 020 1 005 140 716 227 19 139 5 751 687 Rautavaara 5 727 1 540 3 888 2 900 1 158 1 527 1 544 106 1 122 198 13 122 10 370 749 Siilinjärvi 754 250 471 1 697 890 729 594 65 443 175 12 98 3 220 762 Sonkajärvi 6 160 1 522 4 287 3 272 1 272 1 735 2 143 134 1 572 339 24 205 11 914 778 Suonenjoki 3 201 1 262 1 801 3 277 1 722 1 373 1 235 160 872 273 24 166 7 986 844 Tervo 1 254 512 691 1 494 724 679 736 99 529 165 12 102 3 650 857 Tuusniemi 1 646 612 971 3 001 1 530 1 329 1 059 143 780 323 19 191 6 029 915 Varkaus 1 514 625 840 2 144 1 095 944 796 116 590 208 12 129 4 661 916 Varpaisjärvi 1 541 465 1 001 1 683 770 811 763 73 565 180 16 104 4 168 921 Vesanto 1 711 638 1 003 1 765 890 782 743 97 530 156 14 92 4 375 925 Vieremä 3 309 850 2 278 2 123 791 1 160 1 522 97 1 134 267 18 166 7 221 Total 59 223 18 927 37 528 65 303 31 068 30 457 29 021 3 046 21 327 6 590 487 3 914 160 137 Pohjois-Karjala 146 Ilomantsi 15 758 4 830 10 058 4 789 2 194 2 239 3 135 281 2 142 428 18 200 24 110 167 Joensuu 10 961 4 097 6 395 8 662 4 340 3 850 3 865 526 2 632 683 36 360 24 171 176 Juuka 8 094 2 688 5 028 3 909 1 768 1 872 2 193 242 1 503 288 16 146 14 484 248 Kesälahti 2 032 857 1 100 1 272 588 621 681 80 489 138 7 84 4 123 260 Kitee 3 535 1 450 1 943 3 216 1 593 1 467 1 521 185 1 079 308 17 180 8 580 276 Kontiolahti 3 992 1 633 2 191 2 379 1 133 1 102 1 343 159 942 242 14 133 7 955 309 Outokumpu 2 188 877 1 223 1 334 588 660 708 83 526 177 10 111 4 407 422 Lieksa 20 200 6 888 12 213 5 910 2 516 2 933 4 283 395 2 895 623 21 290 31 016 426 Liperi 3 079 1 319 1 650 2 279 1 068 1 083 1 084 131 798 273 20 168 6 715 541 Nurmes 7 650 2 147 5 094 4 177 1 777 2 091 2 590 213 1 787 333 16 189 14 750 607 Polvijärvi 3 984 1 569 2 250 1 720 721 874 1 293 142 932 236 16 141 7 233 707 Rääkkylä 1 794 785 943 1 703 839 784 878 95 667 223 14 142 4 598 848 Tohmajärvi 3 739 1 311 2 268 2 875 1 408 1 314 1 213 158 832 192 10 102 8 019 911 Valtimo 3 439 857 2 397 2 123 774 1 171 1 331 74 983 185 11 113 7 078 Total 90 446 31 307 54 753 46 346 21 307 22 061 26 118 2 765 18 206 4 331 226 2 359 167 242 Kainuu 105 Hyrynsalmi 6 165 1 780 4 000 2 518 889 1 434 1 743 28 1 238 168 8 102 10 594 205 Kajaani 8 661 1 951 6 154 2 092 698 1 192 2 574 59 1 887 259 9 173 13 586 290 Kuhmo 24 510 8 203 14 741 6 591 2 050 3 910 4 745 170 3 185 337 5 186 36 182 578 Paltamo 4 328 1 182 2 912 1 985 788 1 056 1 366 42 1 005 180 7 113 7 859 620 Puolanka 9 193 1 939 6 626 4 208 1 408 2 459 2 909 35 2 096 303 14 220 16 613 697 Ristijärvi 3 745 992 2 514 1 523 529 867 1 091 20 761 95 4 59 6 455 765 Sotkamo 12 753 3 389 8 618 5 553 1 980 3 106 3 787 144 2 727 442 24 303 22 536 777 Suomussalmi 21 282 5 743 14 017 6 482 1 740 4 123 4 303 57 2 998 473 20 309 32 540 785 Vaala 5 088 875 3 766 654 177 411 1 341 7 1 033 71 5 53 7 154 Total 95 725 26 055 63 348 31 607 10 259 18 558 23 858 562 16 929 2 328 96 1 517 153 518 Pohjois-Pohjanmaa 009 Alavieska 878 141 664 251 68 157 259 5 203 41 4 27 1 429 069 Haapajärvi 3 052 590 2 256 1 468 464 888 1 275 49 1 004 219 15 150 6 014 071 Haapavesi 3 936 719 2 934 1 348 398 826 1 690 50 1 339 230 18 155 7 205 072 Hailuoto 650 146 451 127 38 76 171 1 133 28 1 19 976 084 Haukipudas 1 784 389 1 259 463 144 281 427 4 331 55 5 37 2 730 139 Ii 5 516 1 078 4 021 1 555 429 965 1 519 14 1 122 158 9 107 8 748 208 Kalajoki 2 508 364 1 919 567 135 367 817 14 650 92 7 62 3 984 244 Kempele 315 65 224 84 24 52 115 1 89 14 1 9 527 255 Kiiminki 1 467 310 1 040 398 134 232 320 2 249 40 2 29 2 225 305 Kuusamo 17 641 4 016 12 392 7 066 1 784 4 676 3 487 26 2 509 340 12 194 28 534 317 Kärsämäki 2 858 503 2 150 1 103 354 657 1 226 30 966 154 10 110 5 341 425 Liminka 1 957 327 1 439 305 70 199 742 7 573 76 3 53 3 080 436 Lumijoki 594 119 424 131 34 83 267 4 209 34 1 23 1 026 483 Merijärvi 850 145 638 295 76 187 303 6 237 42 5 29 1 490 494 Muhos 2 772 492 2 023 376 107 234 682 4 522 53 3 39 3 883 535 Nivala 1 545 312 1 131 712 227 427 603 23 475 124 11 80 2 984 563 Oulainen 2 070 377 1 537 771 211 476 780 20 615 131 15 90 3 752 564 Oulu 5 946 1 182 4 277 1 248 362 777 1 269 7 975 113 7 80 8 576 567 Oulunsalo 252 57 177 69 20 43 87 1 67 12 1 7 419 615 Pudasjärvi 19 365 3 190 14 600 4 844 1 106 3 236 4 119 28 2 884 264 6 199 28 592 625 Pyhäjoki 2 125 324 1 609 561 140 358 758 15 609 95 9 64 3 538 626 Pyhäsalmi 5 265 1 033 3 891 2 693 817 1 637 2 350 81 1 875 343 22 241 10 652 630 Pyhäntä 3 488 618 2 575 668 188 419 1 042 11 800 80 5 61 5 279 678 Raahe 2 156 451 1 536 520 163 314 690 8 535 90 7 64 3 456 691 Reisjärvi 1 920 323 1 449 713 225 426 719 24 564 108 7 73 3 460 746 Sievi 3 061 480 2 321 786 233 475 1 026 28 807 132 9 88 5 004 748 Siikajoki 3 595 657 2 618 608 160 389 1 237 14 952 131 7 94 5 572 791 Siikalatva 8 976 1 504 6 690 1 579 421 1 009 3 181 28 2 453 259 14 195 13 995 832 Taivalkoski 9 009 2 003 6 441 3 730 1 050 2 392 1 855 23 1 335 239 7 183 14 833 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 173 Table 6b. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 859 Tyrnävä 1 548 262 1 136 221 55 143 468 3 359 42 2 30 2 279 889 Utajärvi 6 589 1 129 4 883 828 212 529 1 387 7 1 056 60 3 47 8 865 926 Vihanti 1 840 359 1 333 466 131 293 660 11 516 77 4 57 3 042 972 Yli-Ii 2 919 527 2 150 573 144 369 701 5 514 49 2 34 4 242 977 Ylivieska 2 102 400 1 548 713 204 439 799 23 632 131 12 87 3 745 Total 130 546 24 590 95 735 37 842 10 328 24 029 37 032 579 28 160 4 055 248 2 819 209 474 Lapland 047 Enontekiö 4 746 839 3 654 400 91 274 3 252 0 1 004 18 0 1 8 415 148 Inari 44 485 7 072 34 935 3 086 814 2 081 7 312 0 3 411 109 0 48 54 992 240 Kemi 95 14 70 269 80 164 137 0 105 47 0 34 550 241 Keminmaa 1 020 150 774 1 577 360 1 032 1 137 7 893 175 4 123 3 909 261 Kittilä 19 984 3 776 14 770 6 286 1 578 4 074 5 153 11 3 684 225 27 108 31 647 273 Kolari 9 294 2 445 6 130 1 878 251 1 281 1 692 18 1 129 141 4 79 13 004 320 Kemijärvi 12 925 2 549 9 411 2 311 400 1 610 2 307 13 1 542 69 0 24 17 612 498 Muonio 6 394 1 279 4 785 1 766 430 1 188 906 1 563 92 0 42 9 158 583 Pelkosenniemi 4 593 768 3 436 1 608 287 1 137 1 658 6 1 101 54 0 21 7 913 614 Posio 10 250 2 104 7 420 2 744 670 1 830 1 416 11 969 113 1 74 14 523 683 Ranua 9 948 1 484 7 586 2 395 423 1 664 2 201 10 1 493 131 2 91 14 676 698 Rovaniemi 26 617 5 356 19 045 6 032 1 130 4 111 5 232 23 3 645 369 6 239 38 251 732 Salla 13 848 2 344 10 520 7 067 1 652 4 817 3 950 5 2 628 180 1 78 25 045 742 Savukoski 18 872 3 571 14 048 5 302 1 226 3 624 3 219 3 2 178 100 0 40 27 493 751 Simo 3 670 557 2 797 1 585 406 993 1 467 11 1 062 178 7 123 6 901 758 Sodankylä 28 727 5 544 21 117 8 074 1 808 5 521 5 817 7 3 941 222 7 79 42 841 845 Tervola 3 502 529 2 647 2 771 528 1 906 2 523 26 1 907 212 3 138 9 007 851 Tornio 1 641 230 1 228 2 942 586 2 032 2 115 11 1 618 366 2 280 7 063 854 Pello 5 830 1 362 3 964 1 875 426 1 219 1 747 21 1 230 266 14 152 9 718 890 Utsjoki 329 7 282 29 5 22 1 352 0 268 7 0 0 1 717 976 Ylitornio 5 573 967 4 006 1 959 277 1 358 1 897 5 1 327 112 0 80 9 540 Total 232 343 42 947 172 624 61 957 13 429 41 937 56 489 188 35 699 3 186 80 1 854 353 975 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 174 Table 6c. The mean volume of growing stock by tree species and roundwood assortment on forest and poorly productive forest land available for wood supply by forestry centres. Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha Åland 035 Brändö 39.2 6.2 28.6 10.7 2.9 6.6 23.0 0.9 14.4 27.1 0.8 18.4 100.0 043 Eckerö 70.4 17.4 48.4 26.5 8.9 15.5 19.8 1.6 14.6 10.5 0.3 8.3 127.2 060 Finström 66.7 17.2 45.4 29.9 10.1 17.5 22.6 1.9 16.6 14.5 0.5 11.4 133.6 062 Föglö 73.4 14.9 53.5 22.5 6.9 13.9 16.0 0.9 11.8 10.5 0.4 8.3 122.4 065 Geta 67.1 13.3 48.1 18.9 6.0 11.4 12.5 0.8 9.4 6.4 0.2 5.1 104.9 076 Hammarland 69.0 17.0 47.6 27.8 9.2 16.4 21.6 1.7 16.0 11.6 0.4 9.3 130.0 170 Jomala 67.8 18.2 45.7 30.2 10.4 17.4 21.6 1.8 15.8 13.7 0.4 10.8 133.4 295 Kumlinge 56.9 7.0 42.2 5.7 1.5 3.6 16.2 0.5 9.5 17.6 0.7 11.2 96.4 318 Kökar 7.5 0.5 5.2 3.1 0.6 2.4 37.2 0.0 14.4 34.7 0.3 22.8 82.6 417 Lemland 66.8 17.0 45.7 30.8 10.1 18.1 23.4 1.8 17.4 13.4 0.4 10.7 134.4 438 Lumparland 75.8 17.1 53.6 25.5 8.5 15.1 16.3 1.1 12.3 9.2 0.3 7.3 126.8 478 Mariehamn-Maarianhamina 50.8 10.0 36.7 17.0 4.8 10.4 18.6 1.4 13.3 18.0 0.3 13.7 104.3 736 Saltvik 74.8 16.1 53.1 23.4 7.7 13.9 14.1 0.9 10.5 7.4 0.2 5.8 119.6 766 Sottunga 54.3 8.8 40.2 13.1 3.7 8.2 16.4 0.6 10.8 15.5 0.4 10.4 99.3 771 Sund 73.1 16.5 51.4 25.2 8.3 14.9 16.5 1.2 12.3 8.6 0.2 6.7 123.3 941 Vårdö 73.2 14.3 52.9 20.3 6.5 12.3 12.0 0.7 8.9 5.5 0.2 4.3 111.0 Total 67.1 15.1 47.2 23.6 7.7 14.0 18.7 1.3 13.4 12.1 0.4 9.2 121.5 Rannikko/Etelärannikko 049 Espoo-Esbo 53.9 20.0 31.7 59.9 28.2 28.1 24.6 5.0 16.9 10.0 1.6 6.5 148.3 078 Hanko-Hangö 70.8 25.3 42.6 52.1 22.5 26.5 14.5 2.0 10.5 4.4 0.7 3.0 141.7 091 Helsinki-Helsingfors 48.0 18.8 27.3 50.2 24.4 22.5 24.7 4.9 17.1 11.5 1.7 8.1 134.4 092 Vantaa-Vanda 37.7 14.7 21.5 57.4 26.6 27.2 32.7 6.5 22.5 14.8 2.2 10.0 142.6 149 Ingå-Inkoo 63.1 22.8 37.6 47.8 20.7 24.0 16.3 2.9 11.3 6.4 1.2 4.3 133.6 235 Kauniainen-Grankulla 56.3 20.0 33.6 51.7 24.1 24.3 23.6 4.5 16.2 9.9 1.7 6.3 141.5 257 Kirkkonummi-Kyrkslätt 56.0 19.6 33.8 45.4 20.1 22.3 17.8 3.2 12.4 7.1 1.2 4.6 126.3 322 Kemiönsaari 71.9 24.8 44.1 36.0 15.2 18.7 10.1 1.3 7.4 3.6 0.6 2.5 121.6 407 Lapinjärvi-Lappträsk 50.1 19.8 28.5 83.7 36.7 42.4 24.7 4.6 17.2 6.7 1.6 4.0 165.3 424 Liljendal 52.1 20.4 29.8 78.9 34.6 40.0 22.7 4.5 15.7 6.1 1.5 3.6 159.8 434 Loviisa-Lovisa 67.0 25.3 39.3 75.1 34.3 36.7 19.4 3.6 13.7 5.1 1.0 3.4 166.6 444 Länsi-Turunmaa 69.8 22.5 44.0 29.8 11.4 16.3 10.9 1.3 8.0 5.3 0.9 3.6 115.8 585 Pernå-Pernaja 55.9 21.3 32.5 74.7 33.4 37.2 22.3 4.2 15.5 6.5 1.5 4.1 159.4 638 Porvoo-Borgå 57.4 21.6 33.5 73.0 32.5 36.3 22.2 4.4 15.4 7.5 1.6 4.8 160.1 701 Ruotsinpyhtää-Strömfors 53.2 20.3 30.8 71.5 30.7 36.5 25.5 4.6 17.9 6.6 1.5 4.0 156.7 710 Raasepori 71.0 26.4 42.0 55.0 24.7 27.4 15.4 2.3 11.1 5.0 0.9 3.4 146.5 753 Sipoo-Sibbo 51.0 20.0 29.0 81.3 39.3 37.7 25.6 5.2 17.7 10.3 1.9 6.8 168.2 755 Siuntio-Sjundeå 47.0 17.3 27.6 50.0 21.5 25.3 20.6 3.5 14.2 8.6 1.7 5.3 126.1 Total 61.5 22.3 36.7 55.5 24.5 27.7 18.2 3.2 12.8 6.5 1.2 4.3 141.7 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 28.4 6.0 20.6 28.3 9.2 16.6 25.0 0.9 18.6 4.4 0.5 2.3 86.0 280 Korsnäs 39.3 9.6 27.5 41.6 12.6 25.6 26.4 1.1 19.0 4.8 0.5 3.5 112.2 287 Kristinestad-Kristiinankaupunki 53.7 12.5 38.0 35.9 14.1 19.2 14.9 0.8 10.8 2.5 0.2 1.7 107.1 288 Kronoby-Kruunupyy 55.6 10.6 41.1 22.7 7.2 13.4 20.1 0.7 15.8 2.7 0.3 1.9 101.1 440 Larsmo-Luoto 47.6 8.0 36.0 26.1 8.7 15.1 20.4 0.7 15.2 5.2 0.8 3.5 99.4 475 Malax-Maalahti 40.2 9.2 28.5 39.6 12.1 24.2 26.4 1.1 19.1 5.0 0.4 3.7 111.2 499 Korsholm-Mustasaari 38.3 7.8 28.5 51.4 17.7 30.0 28.4 1.0 21.2 6.6 0.3 5.1 124.7 545 Närpes-Närpiö 49.0 11.2 34.8 36.7 12.8 21.0 17.6 0.8 12.7 2.1 0.2 1.4 105.4 559 Oravais-Oravainen 40.6 7.6 30.2 30.4 9.0 18.5 26.1 1.0 19.3 4.0 0.5 2.7 101.1 598 Jakobstad-Pietarsaari 44.4 7.9 33.3 23.1 6.1 14.6 23.8 0.7 18.4 3.4 0.4 2.4 94.7 599 Pedersöre-Pedersören kunta 53.8 9.7 40.3 23.3 6.9 14.2 21.7 0.7 17.0 2.4 0.3 1.7 101.2 893 Nykarleby-Uusikaarlepyy 53.0 10.2 39.4 27.1 8.1 16.5 23.1 0.9 17.4 3.1 0.4 2.0 106.2 905 Vaasa-Vasa 35.0 7.8 25.5 58.5 20.4 34.4 30.3 1.2 22.6 7.3 0.3 5.5 131.0 945 Vörå-Maxmo Vöyri-Maksamaa 38.6 8.0 28.1 36.8 11.8 21.9 26.2 1.1 18.9 4.8 0.4 3.5 106.3 Total 47.4 9.8 34.6 34.4 11.4 20.2 22.4 0.9 16.7 3.7 0.3 2.6 107.9 Lounais-Suomi 019 Aura 65.9 25.2 38.2 48.8 21.0 24.9 16.7 2.1 11.9 6.8 1.2 4.8 138.2 050 Eura 64.5 24.7 37.7 46.7 18.4 25.0 19.0 1.8 13.9 5.3 0.7 4.2 135.5 051 Eurajoki 55.0 18.6 34.6 52.5 20.6 27.7 20.3 1.5 14.5 4.1 0.4 3.0 131.8 079 Harjavalta 54.3 17.7 34.6 52.8 21.4 27.5 22.3 2.0 16.1 3.2 0.2 2.5 132.5 099 Honkajoki 63.6 15.6 44.2 11.1 4.2 6.0 12.1 0.8 8.9 1.3 0.1 0.8 88.1 102 Huittinen 53.0 18.5 32.5 59.7 26.1 30.0 21.6 2.5 15.4 3.8 0.6 2.8 138.1 181 Jämijärvi 52.5 15.4 34.3 36.1 16.3 17.2 19.0 1.3 14.1 3.6 0.4 2.4 111.1 202 Kaarina 66.3 24.0 39.9 40.1 16.1 21.3 16.1 1.8 11.5 8.2 1.4 5.7 130.7 214 Kankaanpää 58.6 16.3 39.1 25.8 11.9 12.1 14.7 1.0 10.9 2.9 0.3 2.0 102.1 230 Karvia 66.5 16.5 46.1 11.8 4.1 6.7 11.6 0.8 8.4 1.3 0.1 0.8 91.2 254 Kiikoinen 54.0 18.6 33.2 52.5 23.5 25.7 18.0 1.6 13.2 2.4 0.1 1.8 126.9 271 Kokemäki 55.7 18.7 34.7 49.1 21.6 24.4 20.3 2.0 14.8 3.6 0.2 3.0 128.8 284 Koski T.l. 60.6 27.0 31.9 62.5 30.0 29.8 24.2 2.6 17.4 5.3 1.3 3.3 152.6 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 175 Table 6c. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 304 Kustavi 65.1 19.3 42.4 19.6 6.8 11.3 8.5 0.9 6.2 4.3 0.7 3.0 97.4 319 Köyliö 79.2 30.5 46.4 39.2 17.4 19.4 13.6 1.2 9.6 2.4 0.3 1.9 134.4 400 Laitila 67.8 24.8 40.8 37.3 13.8 20.6 14.7 1.6 10.8 3.7 0.7 2.8 123.6 413 Lavia 62.1 21.5 38.1 46.7 20.9 22.8 17.1 1.6 12.9 2.7 0.2 2.0 128.6 423 Lieto 74.8 28.4 43.9 46.6 19.9 24.0 14.8 1.9 10.6 5.7 0.9 4.0 142.0 430 Loimaa 59.7 25.7 32.2 63.1 30.9 29.3 20.4 2.4 14.7 5.2 1.4 3.2 148.4 442 Luvia 71.7 23.2 46.4 56.4 21.7 31.2 26.7 2.1 20.9 5.5 0.8 4.1 160.3 480 Marttila 63.1 23.4 37.4 49.8 21.4 25.5 18.4 2.3 13.2 6.5 1.3 4.5 137.8 481 Masku 69.3 24.3 42.4 35.5 14.0 19.2 13.4 1.5 9.6 6.0 0.9 4.2 124.2 484 Merikarvia 55.0 15.9 36.3 45.9 21.5 21.6 16.6 1.0 12.4 4.8 0.4 3.4 122.3 503 Mynämäki 70.2 24.8 42.7 39.7 15.5 21.6 16.4 2.0 11.9 4.9 0.9 3.5 131.2 529 Naantali 70.8 22.5 45.1 25.9 9.7 14.4 9.6 1.1 7.0 4.9 0.7 3.4 111.2 531 Nakkila 54.7 16.7 35.9 57.2 22.8 30.4 24.2 2.0 17.8 4.6 0.6 3.4 140.7 537 Noormarkku 55.5 19.5 33.9 58.9 26.6 29.0 20.7 2.0 15.3 4.1 0.5 2.9 139.2 538 Nousiainen 73.0 26.6 43.8 43.9 18.4 23.0 14.3 1.7 10.4 4.7 0.8 3.3 135.9 561 Oripää 67.6 24.3 40.8 44.2 18.8 22.8 16.2 2.0 11.7 4.6 0.8 3.2 132.6 577 Paimio 75.8 28.1 45.1 46.1 19.7 23.7 14.3 1.8 10.3 5.4 0.9 3.8 141.6 608 Pomarkku 57.3 21.1 33.8 67.4 33.6 30.7 18.5 2.0 13.4 3.4 0.3 2.5 146.6 609 Pori 61.1 21.5 37.8 56.4 22.5 30.3 25.7 2.5 19.3 6.0 0.9 4.1 149.1 631 Pyhäranta 66.0 23.8 40.2 45.1 17.0 25.2 17.9 2.1 13.6 6.0 0.4 4.9 135.1 636 Pöytyä 70.5 25.5 42.4 46.5 19.4 24.4 17.1 2.1 12.4 5.1 1.0 3.5 139.1 680 Raisio 67.4 23.8 41.2 33.7 13.3 18.2 14.5 1.6 10.3 7.5 1.1 5.4 123.2 684 Rauma 65.1 23.4 39.5 41.0 16.5 21.8 16.2 1.5 12.1 5.2 0.4 4.0 127.6 704 Rusko 73.8 27.0 44.3 45.6 18.7 24.2 16.3 2.0 11.8 5.5 1.0 3.9 141.2 734 Salo 69.8 26.5 40.9 54.2 24.2 27.0 16.5 2.2 11.9 5.9 1.1 4.0 146.3 738 Sauvo 71.1 25.2 43.3 39.9 16.2 21.3 13.7 1.6 10.0 5.7 1.0 3.9 130.4 747 Siikainen 58.2 16.4 38.8 40.1 19.2 18.4 17.0 1.0 12.6 4.3 0.4 3.0 119.5 761 Somero 52.7 20.9 30.0 66.8 31.7 31.7 21.6 2.7 15.1 4.4 0.8 2.9 145.5 783 Säkylä 65.7 25.9 37.6 40.0 17.4 20.0 15.9 1.6 11.5 5.3 1.0 4.0 126.8 833 Taivassalo 67.3 21.2 43.1 23.8 8.6 13.5 9.9 1.0 7.2 5.0 0.7 3.5 106.0 838 Tarvasjoki 69.5 26.3 40.9 52.1 22.2 26.9 17.2 2.2 12.4 7.0 1.4 4.8 145.8 853 Turku-Åbo 65.4 23.5 39.5 38.2 15.4 20.3 16.3 1.9 11.6 7.9 1.2 5.6 127.7 886 Ulvila 53.9 17.9 33.7 56.3 24.1 28.6 21.8 2.1 15.9 3.8 0.4 2.8 135.9 895 Uusikaupunki 68.1 22.7 42.6 28.7 10.6 16.1 13.1 1.4 9.4 5.4 0.8 3.8 115.3 918 Vehmaa 64.7 21.9 40.2 27.7 10.2 15.4 12.6 1.4 9.0 5.4 0.8 3.8 110.4 Total 63.4 21.9 38.9 44.9 19.4 22.7 17.2 1.7 12.5 4.6 0.7 3.2 130.0 Häme-Uusimaa 015 Artjärvi 43.1 17.1 24.4 80.7 37.2 39.4 22.6 4.0 15.5 8.1 1.7 4.8 154.5 016 Asikkala 44.0 19.5 22.9 77.2 38.3 35.1 25.1 4.5 17.4 8.0 1.1 5.4 154.3 018 Askola 41.8 17.0 23.3 84.0 37.9 41.7 24.7 5.0 16.8 8.7 2.1 5.1 159.2 061 Forssa 38.9 18.7 18.9 89.5 46.4 39.4 22.7 3.2 16.3 5.1 0.8 3.6 156.2 081 Hartola 42.0 21.0 19.6 79.6 41.4 35.0 26.0 4.6 18.4 6.9 0.7 4.7 154.6 082 Hattula 44.5 19.1 23.9 61.0 27.4 29.9 24.1 4.1 16.8 8.0 1.4 5.0 137.5 086 Hausjärvi 41.5 19.7 20.2 75.4 35.3 36.6 18.6 2.8 12.7 5.7 0.7 3.7 141.2 098 Hollola 37.7 18.0 18.4 82.8 41.8 37.2 20.3 2.7 14.3 7.3 1.0 4.8 148.1 103 Humppila 50.7 22.1 27.0 91.6 47.3 41.0 18.6 1.8 13.8 5.8 1.0 3.9 166.7 106 Hyvinkää 40.2 17.8 20.7 75.6 36.1 36.1 20.6 3.4 14.3 6.4 0.9 4.2 142.8 109 Hämeenlinna 42.1 19.3 21.3 81.8 39.7 38.2 22.0 3.5 15.4 5.8 1.0 3.8 151.7 111 Heinola 57.5 27.8 27.8 60.0 30.8 26.3 25.0 4.7 17.0 7.0 1.0 4.5 149.4 165 Janakkala 41.8 19.3 21.1 78.1 37.7 36.6 21.2 3.6 14.6 7.1 1.1 4.6 148.1 169 Jokioinen 32.5 13.3 18.1 86.0 43.5 39.1 19.2 2.1 14.0 6.3 0.5 4.7 144.0 186 Järvenpää 30.6 12.3 16.9 57.1 25.5 28.0 27.4 5.0 19.0 14.3 2.0 9.2 129.4 223 Karjalohja 48.5 17.4 28.9 44.3 18.9 22.5 24.0 3.8 16.8 9.0 1.6 5.7 125.8 224 Karkkila 50.9 20.0 29.1 72.1 33.0 35.0 23.6 4.4 16.2 8.3 1.8 5.0 154.8 245 Kerava 38.0 14.9 21.5 55.8 24.9 27.3 29.8 5.7 20.7 14.3 2.3 9.3 137.9 283 Hämeenkoski 30.9 14.7 15.0 87.7 42.6 41.0 21.0 2.6 14.7 6.9 1.0 4.5 146.4 316 Kärkölä 30.8 13.6 15.9 80.8 38.0 39.0 19.7 2.7 13.2 6.1 0.8 3.8 137.3 398 Lahti 37.5 16.0 20.3 66.5 35.1 28.1 21.3 2.9 14.8 9.3 1.0 5.9 134.6 433 Loppi 46.3 20.0 24.7 68.7 33.0 32.1 20.1 3.6 13.7 6.4 1.1 4.0 141.5 444 Lohja 43.3 16.1 25.3 48.2 21.0 24.2 22.9 3.8 15.7 10.1 1.7 6.2 124.6 504 Myrskylä-Mörskom 43.4 17.4 24.4 80.9 35.0 41.4 26.3 4.9 18.2 8.6 2.1 5.0 159.1 505 Mäntsälä 35.4 16.0 17.9 91.6 43.7 44.1 19.7 3.1 13.4 5.5 0.8 3.6 152.3 532 Nastola 47.5 20.9 24.7 64.8 32.1 29.6 24.3 3.9 16.9 8.5 1.1 5.5 145.1 540 Nummi-Pusula 53.2 19.8 31.3 52.9 22.9 26.7 22.7 3.7 15.8 7.8 1.5 4.8 136.5 543 Nurmijärvi 35.8 14.1 20.2 55.8 25.2 27.2 24.9 4.3 17.0 11.8 1.9 7.2 128.2 560 Orimattila 40.1 18.0 20.5 70.7 34.5 32.6 18.4 2.7 12.7 6.3 0.9 4.0 135.4 576 Padasjoki 48.4 21.4 25.3 79.6 37.7 37.7 22.1 4.1 15.2 6.7 1.3 4.2 156.7 611 Pornainen 42.5 16.5 24.2 75.6 33.7 37.7 27.2 5.1 18.9 11.0 2.4 6.8 156.3 616 Pukkila 37.4 15.0 21.0 76.4 32.9 39.2 27.2 4.8 18.9 10.5 2.4 6.2 151.6 694 Riihimäki 32.9 14.7 16.9 73.3 36.2 33.8 20.9 3.5 14.2 8.1 1.1 5.3 135.2 781 Sysmä 47.3 26.7 19.2 77.5 41.8 32.8 27.0 5.3 18.8 9.2 1.1 6.4 161.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 176 Table 6c. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 834 Tammela 54.5 21.9 30.6 73.9 35.6 34.2 25.0 4.0 17.8 3.2 0.6 2.2 156.6 858 Tuusula 33.4 13.4 18.6 67.5 30.7 32.9 29.4 5.3 20.3 14.1 2.3 9.1 144.4 927 Vihti 47.4 17.9 27.6 63.1 28.0 31.4 24.5 4.4 16.9 9.8 1.9 6.0 144.8 981 Ypäjä 41.8 17.0 23.5 92.7 47.0 42.2 20.3 2.0 15.1 6.2 0.7 4.5 160.9 Total 44.1 19.7 22.8 74.1 36.0 34.5 22.9 3.9 15.9 7.2 1.2 4.7 148.4 Kaakkois-Suomi 075 Hamina 61.9 22.9 36.4 47.3 21.8 23.0 16.3 1.9 12.0 3.8 0.6 2.6 129.4 142 Iitti 49.5 22.4 25.4 75.3 39.2 32.7 24.4 4.5 17.1 6.7 1.0 4.2 155.8 153 Imatra 50.1 21.6 27.1 69.5 32.7 33.7 22.7 3.3 16.7 6.6 0.6 4.4 148.9 285 Kotka 58.2 23.3 32.6 38.5 16.3 19.7 16.3 1.9 11.8 4.1 0.4 2.8 117.1 286 Kouvola 66.8 29.3 34.9 56.0 28.1 25.0 20.2 3.1 14.0 4.8 0.7 3.1 147.7 405 Lappeenranta 57.2 23.0 32.0 53.3 25.9 24.8 18.0 2.2 13.1 4.9 0.6 3.3 133.4 416 Lemi 59.8 24.4 32.9 48.4 23.0 23.0 18.4 2.6 13.0 4.1 0.4 2.7 130.7 441 Luumäki 64.3 24.6 37.0 48.8 23.5 22.7 17.4 2.0 12.8 3.6 0.6 2.4 134.1 489 Miehikkälä 61.2 20.7 37.9 54.0 25.0 26.3 16.4 1.7 12.2 3.6 0.6 2.5 135.2 580 Parikkala 49.6 19.7 28.1 57.2 25.3 29.3 24.6 2.9 18.3 6.5 0.5 4.4 137.9 624 Pyhtää-Pyttis 59.3 22.8 34.2 66.7 28.4 34.3 25.5 4.5 18.1 6.7 1.6 4.2 158.2 689 Rautjärvi 47.5 19.8 26.2 66.7 29.6 33.9 25.4 3.3 18.8 7.1 0.6 4.8 146.7 700 Ruokolahti 71.3 30.7 38.1 44.8 20.8 21.8 20.2 2.6 14.7 4.5 0.4 2.9 140.8 739 Savitaipale 73.2 29.8 40.3 33.3 14.6 16.8 17.8 2.5 12.4 3.2 0.3 2.0 127.5 775 Suomenniemi 83.3 34.8 45.0 34.0 14.6 17.3 17.3 2.6 11.9 3.5 0.3 2.3 138.1 831 Taipalsaari 78.3 32.3 42.7 29.9 12.4 15.9 19.0 3.0 13.2 3.5 0.3 2.1 130.6 935 Virolahti 59.2 20.0 36.6 51.8 22.5 26.6 15.1 1.5 11.2 3.4 0.6 2.4 129.6 978 Ylämaa 63.4 22.6 38.3 56.1 27.1 26.2 17.3 1.8 12.9 3.7 0.6 2.6 140.5 Total 63.3 25.8 35.0 51.8 24.6 24.6 19.5 2.7 14.0 4.6 0.6 3.1 139.3 Pirkanmaa 020 Akaa 35.4 16.7 17.4 66.8 30.8 32.0 26.7 3.9 18.8 6.1 0.9 4.1 135.1 108 Hämeenkyrö 43.9 16.4 25.8 61.6 28.4 29.6 27.5 3.4 20.0 5.7 0.8 3.8 138.6 143 Ikaalinen 54.7 18.7 33.8 45.9 21.1 21.9 19.4 2.0 14.0 3.9 0.5 2.6 124.0 177 Juupajoki 50.5 21.1 27.6 66.4 33.6 29.5 20.3 2.7 14.7 4.1 0.6 2.7 141.3 211 Kangasala 42.4 19.9 21.3 66.0 32.1 30.1 25.7 4.5 18.5 6.4 1.0 4.5 140.6 250 Kihniö 73.7 19.0 50.9 21.8 7.9 11.8 16.7 1.1 12.1 2.0 0.3 1.2 114.2 289 Kuhmalahti 43.5 18.9 23.1 64.4 29.0 31.6 21.4 3.8 14.7 6.7 1.2 4.2 136.0 310 Kylmäkoski 42.3 19.3 21.5 76.1 36.6 35.9 23.1 3.5 16.4 5.1 0.9 3.6 146.6 418 Lempäälä 32.0 14.4 16.7 78.2 39.1 34.7 27.9 5.8 19.2 8.2 1.1 6.0 146.3 508 Mänttä-Vilppula 51.1 20.0 29.3 70.7 35.3 31.8 23.5 3.2 16.9 6.0 0.7 4.2 151.4 536 Nokia 39.8 19.0 19.8 66.6 32.0 31.1 27.3 4.9 19.1 7.0 1.3 4.8 140.7 562 Orivesi 48.3 20.6 26.0 71.9 36.3 32.1 22.3 3.2 16.0 4.8 0.7 3.2 147.3 581 Parkano 66.6 18.2 44.9 23.6 9.5 12.1 15.0 1.0 11.0 2.3 0.3 1.5 107.4 604 Pirkkala 28.8 12.7 15.3 74.1 36.3 33.8 28.9 6.4 19.8 9.7 1.3 7.0 141.4 619 Punkalaidun 60.2 28.9 29.5 72.1 36.3 32.5 20.2 2.0 14.6 5.0 1.3 3.1 157.5 635 Pälkäne 38.8 18.0 19.4 90.0 43.6 42.3 23.3 4.5 16.1 8.2 1.4 5.5 160.2 702 Ruovesi 55.0 21.4 31.6 68.5 34.2 31.0 20.3 2.7 14.7 4.7 0.6 3.3 148.5 790 Sastamala 53.1 18.1 32.9 58.8 27.5 27.8 21.2 2.7 15.1 3.6 0.4 2.5 136.7 837 Tampere 47.3 20.3 25.5 74.4 37.0 33.7 24.9 4.0 17.9 5.5 0.8 3.7 152.2 887 Urjala 48.7 22.2 24.9 78.4 39.0 36.0 22.6 2.6 16.4 5.8 1.3 3.8 155.5 908 Valkeakoski 36.8 17.9 17.8 76.6 36.6 35.7 28.8 5.9 19.9 8.7 1.7 5.9 150.8 922 Vesilahti 45.1 22.9 20.9 78.1 40.4 34.0 22.1 4.0 15.4 3.8 0.9 2.6 149.1 936 Virrat 67.9 20.4 44.0 36.8 15.4 18.8 15.3 1.2 11.3 2.5 0.4 1.6 122.4 980 Ylöjärvi 59.4 21.4 35.7 55.1 25.7 26.3 20.5 2.5 14.9 4.0 0.5 2.7 139.0 Total 53.5 19.8 31.6 58.7 28.0 27.5 21.0 2.8 15.1 4.6 0.7 3.1 137.9 Etelä-Savo 046 Enonkoski 49.0 21.3 26.1 61.2 27.6 30.5 21.0 2.6 15.5 6.7 0.6 4.5 137.9 090 Heinävesi 47.6 18.2 27.9 61.3 27.8 30.1 20.7 2.5 15.5 5.6 0.3 3.8 135.2 097 Hirvensalmi 55.4 28.3 25.4 57.0 27.8 26.5 29.0 5.6 19.7 9.7 1.3 6.2 151.0 171 Joroinen 53.0 21.3 29.7 56.5 30.1 23.5 19.6 2.2 13.7 4.5 0.5 2.7 133.6 178 Juva 62.4 27.3 32.6 53.1 26.5 23.6 19.8 2.9 13.5 4.7 0.6 3.0 139.9 213 Kangasniemi 52.8 23.6 27.0 51.0 26.3 22.0 20.2 3.0 13.5 5.3 0.6 3.4 129.3 246 Kerimäki 52.7 22.6 28.1 57.4 26.2 28.4 23.3 2.8 17.0 5.7 0.5 3.8 139.0 491 Mikkeli 56.7 26.2 28.3 51.4 25.3 23.3 23.0 3.6 15.7 6.2 0.8 4.0 137.4 507 Mäntyharju 74.8 33.0 38.9 42.0 19.3 20.4 21.5 3.4 14.7 5.2 0.6 3.3 143.5 588 Pertunmaa 46.2 22.5 22.3 63.1 30.5 29.3 29.2 5.4 19.8 8.3 1.0 5.3 146.8 593 Pieksämäki 54.7 21.2 31.1 48.4 24.5 21.0 19.7 2.5 13.9 4.4 0.4 2.7 127.2 618 Punkaharju 62.0 26.6 33.4 58.5 27.5 28.4 22.3 2.8 16.4 5.1 0.4 3.4 147.9 623 Puumala 85.5 34.4 47.7 26.1 11.0 13.8 19.3 2.6 14.0 3.4 0.2 2.0 134.4 681 Rantasalmi 49.6 20.4 27.4 51.1 22.5 25.7 21.6 2.5 15.9 6.7 0.6 4.6 128.9 696 Ristiina 70.9 32.8 35.5 48.1 23.0 22.6 23.0 3.8 15.9 5.8 0.7 3.8 147.9 740 Savonlinna 60.6 26.3 32.2 53.3 23.9 26.7 21.7 2.8 15.8 5.5 0.4 3.7 141.2 768 Sulkava 69.8 30.3 36.8 38.3 17.1 19.1 20.3 2.6 14.6 4.4 0.3 2.8 132.7 Total 59.6 25.7 31.6 50.6 24.2 23.6 21.5 3.0 15.2 5.4 0.5 3.5 137.0 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 177 Table 6c. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha Etelä-Pohjanmaa 005 Alajärvi 70.5 18.2 48.3 13.8 5.1 7.5 13.1 0.9 9.5 1.6 0.2 1.1 99.0 010 Alavus 68.5 19.0 45.3 15.5 5.6 8.8 12.9 1.0 9.3 1.4 0.2 0.8 98.3 052 Evijärvi 51.7 9.4 38.2 15.2 4.8 8.9 18.2 0.7 13.9 3.0 0.4 2.1 88.1 074 Halsua 61.5 13.0 43.2 6.3 2.6 3.1 13.1 0.5 9.9 1.5 0.1 1.2 82.4 095 Himanka 58.9 11.4 43.2 17.4 5.6 10.2 16.0 0.4 12.6 2.3 0.2 1.6 94.6 145 Ilmajoki 55.9 13.9 38.4 26.9 10.2 14.6 14.4 1.0 10.5 1.7 0.2 1.1 98.9 151 Isojoki 61.0 13.9 43.2 24.3 10.1 12.5 13.1 0.8 9.6 1.6 0.1 1.1 100.0 152 Isokyrö 44.0 9.1 31.7 25.2 7.6 15.1 20.2 0.8 14.5 3.3 0.5 2.2 92.6 164 Jalasjärvi 63.7 16.7 43.2 16.0 5.8 9.0 12.4 1.0 8.8 1.8 0.3 1.0 93.9 217 Kannus 55.0 10.3 40.4 13.0 4.0 7.6 17.1 0.5 13.4 1.4 0.1 1.1 86.4 218 Karijoki 58.8 11.5 43.2 29.6 11.3 16.3 12.4 0.6 8.9 1.3 0.1 0.8 102.0 232 Kauhajoki 59.7 11.7 43.9 15.7 5.7 8.9 9.4 0.5 6.8 0.7 0.1 0.5 85.5 233 Kauhava 58.7 11.3 43.1 13.8 4.1 8.2 15.3 0.6 11.6 3.4 0.4 2.4 91.3 236 Kaustinen 57.5 10.8 42.4 13.7 4.1 8.2 15.9 0.5 12.4 2.1 0.2 1.5 89.2 272 Kokkola-Karleby 55.9 10.6 41.1 17.5 5.7 10.2 16.3 0.5 12.6 2.5 0.3 1.7 92.2 300 Kuortane 73.8 21.2 48.7 14.8 5.7 7.9 13.6 0.9 9.7 1.4 0.2 0.8 103.6 301 Kurikka 53.5 11.8 38.0 25.8 9.4 14.3 13.9 0.8 9.9 1.7 0.2 1.1 94.9 399 Laihia 48.3 10.8 34.4 32.7 10.5 19.3 22.0 1.0 16.0 3.5 0.6 2.3 106.4 403 Lappajärvi 62.0 12.8 44.9 14.8 4.6 8.6 16.5 0.7 12.6 3.4 0.4 2.5 96.7 408 Lapua 60.4 12.4 43.9 18.6 6.0 10.9 17.2 0.7 13.1 2.9 0.3 2.0 99.0 421 Lestijärvi 51.8 9.6 38.0 13.8 4.5 8.1 15.7 0.5 11.9 2.5 0.2 1.8 83.8 584 Perho 60.4 12.1 43.7 11.7 4.1 6.6 13.1 0.4 9.9 1.7 0.1 1.2 86.9 743 Seinäjoki 56.3 13.9 38.8 16.7 5.8 9.3 15.4 1.1 11.2 2.3 0.2 1.4 90.6 759 Soini 68.3 17.8 46.9 17.6 7.0 9.4 13.6 0.9 10.1 2.0 0.2 1.4 101.6 846 Teuva 54.8 10.4 40.4 26.5 10.0 14.5 12.5 0.6 8.8 1.5 0.2 1.0 95.4 849 Toholampi 53.9 11.1 38.7 14.6 4.9 8.4 15.1 0.6 11.6 1.8 0.1 1.4 85.4 863 Töysä 77.7 23.6 50.2 17.7 7.2 9.1 11.8 0.8 8.3 1.3 0.1 0.7 108.5 924 Veteli 58.8 11.0 43.4 14.5 4.7 8.5 15.7 0.5 12.2 2.2 0.2 1.6 91.1 934 Vimpeli 59.8 12.1 43.5 15.7 5.4 9.0 16.5 0.6 12.8 2.4 0.2 1.7 94.4 942 Vähäkyrö 33.0 7.8 23.1 32.7 9.9 20.1 26.9 1.1 19.0 6.0 0.4 4.3 98.6 989 Ähtäri 70.5 19.9 47.2 23.2 9.4 12.2 15.1 1.3 11.0 2.4 0.2 1.6 111.3 Total 60.0 13.6 42.4 17.8 6.3 10.0 14.7 0.8 10.9 2.1 0.2 1.4 94.5 Keski-Suomi 077 Hankasalmi 44.5 17.4 25.0 53.3 29.2 21.3 22.4 2.7 15.5 4.4 0.4 2.8 124.6 172 Joutsa 51.1 24.0 25.3 62.2 31.2 28.0 25.9 4.6 18.0 6.8 0.7 4.5 145.9 179 Jyväskylä 44.5 19.1 23.7 59.5 31.7 24.8 21.3 2.9 15.3 5.4 0.6 3.5 130.7 182 Jämsä 50.8 19.3 29.2 50.5 26.3 21.4 17.4 2.1 12.3 4.0 0.4 2.6 122.7 216 Kannonkoski 65.6 19.6 43.2 33.9 14.7 17.1 17.4 1.4 13.0 3.1 0.2 2.2 120.0 226 Karstula 65.8 17.1 45.3 24.6 9.9 12.9 17.8 1.1 13.5 2.3 0.1 1.6 110.5 249 Keuruu 64.3 21.4 40.3 42.6 19.3 20.8 18.0 1.9 13.0 3.4 0.5 2.2 128.4 256 Kinnula 59.5 13.0 42.6 20.4 7.5 11.4 17.1 0.7 13.1 2.4 0.2 1.7 99.4 265 Kivijärvi 65.3 18.0 44.1 26.9 11.4 13.6 15.9 1.1 12.0 2.4 0.2 1.7 110.4 275 Konnevesi 46.2 18.2 26.1 57.5 31.3 23.3 21.8 2.4 16.0 4.5 0.4 2.6 130.0 291 Kuhmoinen 46.6 20.1 24.8 64.4 34.4 26.8 17.9 2.5 12.8 4.8 0.6 3.2 133.7 312 Kyyjärvi 65.5 15.3 46.4 16.2 6.1 8.8 16.1 0.8 12.4 2.0 0.1 1.4 99.8 410 Laukaa 47.0 18.6 26.3 48.6 26.0 20.1 19.3 2.6 13.2 4.2 0.4 2.6 119.1 435 Luhanka 44.5 23.9 19.0 70.1 37.6 29.7 26.3 4.3 19.3 8.7 0.9 5.8 149.6 495 Multia 66.0 18.9 44.1 30.7 13.9 14.8 16.5 1.2 12.3 2.4 0.2 1.7 115.5 500 Muurame 38.3 16.9 20.0 70.0 37.2 29.4 21.9 3.1 16.1 6.2 0.8 4.0 136.4 592 Petäjävesi 51.7 16.9 32.4 44.5 22.9 19.2 16.9 1.7 12.2 3.2 0.3 1.9 116.3 601 Pihtipudas 52.5 9.8 39.5 27.6 8.6 16.7 18.8 0.9 14.3 3.4 0.3 2.2 102.3 729 Saarijärvi 61.2 18.3 40.2 35.1 15.8 17.2 19.7 1.5 14.7 3.1 0.2 2.1 119.1 850 Toivakka 51.2 21.9 27.3 45.9 23.2 20.2 21.5 3.3 15.0 5.5 0.6 3.6 124.2 892 Uurainen 54.2 17.6 33.9 40.6 20.9 17.4 16.7 1.7 12.1 2.8 0.2 1.7 114.2 931 Viitasaari 54.3 15.8 35.8 36.9 15.5 18.9 17.6 1.7 12.6 4.2 0.4 2.6 113.0 992 Äänekoski 53.8 20.4 31.2 51.7 26.7 22.2 18.6 2.2 13.5 3.8 0.4 2.2 127.9 Total 55.0 18.3 34.2 43.0 20.9 19.7 19.0 2.0 13.8 3.9 0.4 2.5 120.8 Pohjois-Savo 140 Iisalmi 29.8 8.0 20.4 47.4 21.6 22.9 24.0 2.3 18.1 5.8 0.4 3.3 107.1 174 Juankoski 40.3 12.9 25.6 51.3 25.2 23.3 20.4 2.1 14.8 5.6 0.4 3.3 117.5 204 Kaavi 53.6 16.7 34.4 44.3 20.2 21.4 17.3 1.6 12.3 3.2 0.2 2.0 118.4 227 Karttula 45.8 17.9 26.0 55.3 28.6 23.6 22.1 2.8 15.9 5.3 0.5 3.2 128.5 239 Keitele 48.7 15.1 31.2 45.0 21.4 20.9 19.6 2.0 13.9 3.0 0.2 1.7 116.2 263 Kiuruvesi 37.5 9.4 26.2 31.9 11.3 17.9 23.3 1.4 17.9 4.5 0.3 2.8 97.2 297 Kuopio 38.2 15.0 21.8 68.1 36.8 28.6 23.2 3.5 16.8 8.8 0.7 5.1 138.4 402 Lapinlahti 32.6 8.7 22.2 52.0 24.0 25.0 24.5 2.4 18.5 5.2 0.4 2.9 114.3 420 Leppävirta 40.9 16.0 23.5 72.1 37.7 31.0 24.1 3.4 17.7 6.5 0.4 3.8 143.6 476 Maaninka 31.9 10.0 20.4 60.0 29.4 27.4 23.8 2.6 17.7 5.6 0.5 3.2 121.3 534 Nilsiä 36.6 11.5 23.4 56.2 28.0 25.5 20.6 2.3 15.2 5.4 0.4 3.1 118.8 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 178 Table 6c. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 595 Pielavesi 43.2 12.9 28.2 46.5 19.8 23.6 23.3 2.3 17.4 4.4 0.4 2.7 117.4 686 Rautalampi 49.4 20.1 27.3 49.6 24.3 22.4 22.1 3.1 15.8 5.0 0.4 3.1 126.2 687 Rautavaara 57.4 15.4 39.1 28.8 11.4 15.3 15.6 1.1 11.4 2.1 0.1 1.3 103.9 749 Siilinjärvi 27.7 9.2 17.3 62.3 32.7 26.8 21.8 2.4 16.3 6.4 0.4 3.6 118.1 762 Sonkajärvi 50.1 12.4 34.9 26.5 10.3 14.1 17.5 1.1 12.8 2.8 0.2 1.7 96.9 778 Suonenjoki 52.0 20.5 29.3 53.3 28.0 22.4 20.2 2.6 14.2 4.5 0.4 2.7 129.9 844 Tervo 41.7 16.9 23.0 49.6 24.1 22.6 24.5 3.3 17.6 5.5 0.4 3.4 121.3 857 Tuusniemi 36.3 13.5 21.4 66.2 33.8 29.3 23.4 3.2 17.2 7.2 0.4 4.2 133.1 915 Varkaus 47.3 19.5 26.3 68.1 34.9 29.9 25.2 3.7 18.7 6.6 0.4 4.1 147.2 916 Varpaisjärvi 39.2 11.8 25.6 43.4 19.9 20.9 19.8 1.9 14.7 4.7 0.4 2.7 107.2 921 Vesanto 47.8 17.8 28.1 49.3 24.9 21.8 20.8 2.7 14.8 4.4 0.4 2.6 122.3 925 Vieremä 44.6 11.4 30.7 28.6 10.6 15.7 20.7 1.3 15.4 3.6 0.3 2.3 97.5 Total 43.3 13.8 27.5 47.7 22.6 22.3 21.3 2.2 15.7 4.9 0.4 2.9 117.1 Pohjois-Karjala 146 Ilomantsi 67.3 20.5 43.1 20.4 9.3 9.6 13.5 1.2 9.2 1.9 0.1 0.9 103.1 167 Joensuu 54.4 20.3 31.8 42.9 21.5 19.1 19.2 2.6 13.1 3.4 0.2 1.8 120.0 176 Juuka 62.1 20.6 38.6 29.9 13.5 14.3 16.9 1.9 11.6 2.2 0.1 1.1 111.0 248 Kesälahti 62.9 26.5 34.1 39.4 18.2 19.3 21.1 2.5 15.1 4.3 0.2 2.6 127.8 260 Kitee 51.3 21.1 28.2 46.8 23.2 21.3 22.1 2.7 15.7 4.5 0.2 2.6 124.7 276 Kontiolahti 58.5 23.8 32.2 34.8 16.5 16.1 19.8 2.3 13.9 3.6 0.2 2.0 116.6 309 Outokumpu 60.7 24.3 33.9 36.7 16.2 18.2 19.6 2.3 14.6 4.9 0.3 3.1 121.9 422 Lieksa 64.5 21.3 39.6 18.9 7.9 9.5 14.3 1.3 9.6 2.1 0.1 1.0 99.8 426 Liperi 57.5 24.6 30.8 42.3 19.8 20.1 20.2 2.5 14.9 5.1 0.4 3.1 125.1 541 Nurmes 53.2 14.7 35.7 28.6 12.1 14.3 18.2 1.5 12.6 2.4 0.1 1.3 102.3 607 Polvijärvi 62.9 24.7 35.5 27.3 11.4 13.9 20.5 2.3 14.8 3.8 0.3 2.2 114.4 707 Rääkkylä 53.8 23.6 28.3 50.8 25.1 23.4 26.3 2.9 20.0 6.7 0.4 4.3 137.6 848 Tohmajärvi 56.2 19.7 34.1 43.3 21.2 19.8 18.2 2.4 12.5 2.9 0.2 1.5 120.6 911 Valtimo 48.8 12.0 34.2 29.5 10.6 16.4 19.0 1.1 14.0 2.7 0.2 1.6 100.0 Total 59.6 20.5 36.2 30.8 14.1 14.7 17.5 1.9 12.2 2.9 0.2 1.6 110.7 Kainuu 105 Hyrynsalmi 47.7 13.2 31.5 17.5 5.7 10.3 13.8 0.2 9.8 1.3 0.1 0.8 80.3 205 Kajaani 54.6 12.2 38.8 13.0 4.3 7.4 16.3 0.4 12.0 1.7 0.1 1.1 85.5 290 Kuhmo 56.6 17.9 35.0 13.3 3.8 8.1 11.2 0.4 7.4 0.8 0.0 0.5 81.8 578 Paltamo 52.7 14.4 35.5 24.1 9.5 12.8 16.6 0.5 12.2 2.2 0.1 1.4 95.6 620 Puolanka 42.4 8.8 30.7 15.2 4.4 9.3 13.1 0.1 9.3 1.3 0.1 0.9 71.9 697 Ristijärvi 49.7 13.1 33.4 20.2 7.0 11.5 14.6 0.3 10.2 1.3 0.1 0.8 85.7 765 Sotkamo 53.3 13.8 36.4 21.9 7.5 12.4 15.9 0.6 11.5 1.9 0.1 1.3 92.9 777 Suomussalmi 44.4 11.3 29.8 12.4 3.0 8.1 9.4 0.1 6.5 1.0 0.0 0.6 67.1 785 Vaala 50.2 8.6 37.2 6.5 1.8 4.1 13.6 0.1 10.5 0.7 0.0 0.5 71.0 Total 50.0 13.0 33.6 15.1 4.6 9.0 12.7 0.3 9.0 1.2 0.1 0.8 79.1 Pohjois-Pohjanmaa 009 Alavieska 51.0 8.2 38.6 14.6 4.0 9.1 15.1 0.3 11.8 2.4 0.3 1.6 83.0 069 Haapajärvi 50.2 9.7 37.1 24.1 7.6 14.6 21.0 0.8 16.5 3.6 0.3 2.5 98.8 071 Haapavesi 47.8 8.8 35.6 16.5 4.9 10.1 20.6 0.6 16.3 2.8 0.2 1.9 87.7 072 Hailuoto 43.6 9.9 30.3 8.4 2.5 5.0 11.8 0.1 9.2 1.9 0.1 1.3 65.7 084 Haukipudas 52.8 11.5 37.2 13.8 4.3 8.4 12.7 0.1 9.8 1.6 0.1 1.1 80.9 139 Ii 46.6 9.1 34.0 13.2 3.6 8.2 12.8 0.1 9.5 1.3 0.1 0.9 73.9 208 Kalajoki 49.9 7.2 38.2 11.0 2.6 7.2 16.3 0.3 13.0 1.8 0.1 1.2 79.0 244 Kempele 48.9 10.2 34.8 13.0 3.8 8.1 17.8 0.2 13.9 2.2 0.1 1.3 81.9 255 Kiiminki 58.1 12.3 41.2 15.7 5.3 9.1 12.5 0.1 9.7 1.6 0.1 1.1 87.8 305 Kuusamo 39.9 8.9 28.1 15.4 3.7 10.3 8.2 0.1 5.9 0.8 0.0 0.5 64.3 317 Kärsämäki 50.8 8.9 38.2 19.6 6.3 11.7 21.8 0.5 17.2 2.7 0.2 2.0 94.8 425 Liminka 44.9 7.5 33.1 7.3 1.7 4.8 17.9 0.2 13.9 1.8 0.1 1.3 72.0 436 Lumijoki 42.6 8.6 30.4 9.5 2.5 6.0 19.6 0.3 15.3 2.5 0.1 1.7 74.2 483 Merijärvi 46.5 7.9 34.9 16.2 4.1 10.2 16.6 0.3 13.0 2.3 0.3 1.6 81.5 494 Muhos 49.3 8.8 36.0 6.7 1.9 4.2 12.3 0.1 9.4 0.9 0.1 0.7 69.2 535 Nivala 48.8 9.9 35.7 22.6 7.2 13.5 19.1 0.7 15.0 3.9 0.4 2.6 94.4 563 Oulainen 44.0 8.0 32.7 16.4 4.5 10.1 16.6 0.4 13.1 2.8 0.3 1.9 79.8 564 Oulu 57.4 11.4 41.3 12.1 3.5 7.5 12.2 0.1 9.4 1.1 0.1 0.8 82.7 567 Oulunsalo 48.8 11.1 34.3 13.3 3.8 8.4 16.7 0.2 12.9 2.3 0.2 1.4 81.0 615 Pudasjärvi 44.7 7.2 33.8 9.8 2.0 6.6 9.2 0.1 6.5 0.6 0.0 0.4 64.2 625 Pyhäjoki 47.4 7.2 35.9 12.5 3.1 8.0 16.9 0.3 13.6 2.1 0.2 1.4 78.9 626 Pyhäsalmi 47.2 9.3 34.9 24.0 7.3 14.6 21.1 0.7 16.8 3.1 0.2 2.2 95.4 630 Pyhäntä 53.5 9.5 39.5 10.2 2.8 6.4 16.1 0.2 12.3 1.3 0.1 1.0 81.0 678 Raahe 51.3 10.7 36.5 12.4 3.9 7.5 16.4 0.2 12.7 2.1 0.2 1.5 82.2 691 Reisjärvi 51.7 8.7 39.0 19.3 6.1 11.5 19.5 0.6 15.3 2.9 0.2 2.0 93.4 746 Sievi 50.4 7.9 38.2 13.0 3.8 7.8 16.9 0.5 13.3 2.2 0.2 1.5 82.4 748 Siikajoki 47.3 8.7 34.4 8.1 2.1 5.2 16.4 0.2 12.6 1.7 0.1 1.2 73.4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 179 Table 6c. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 791 Siikalatva 52.8 8.9 39.4 9.4 2.5 6.0 18.9 0.2 14.6 1.5 0.1 1.2 82.6 832 Taivalkoski 43.3 9.5 31.1 15.3 4.0 10.0 8.6 0.1 6.1 1.1 0.0 0.8 68.3 859 Tyrnävä 47.8 8.1 35.1 6.8 1.7 4.4 14.4 0.1 11.1 1.3 0.1 0.9 70.3 889 Utajärvi 53.3 9.2 39.5 6.8 1.8 4.3 11.4 0.1 8.7 0.5 0.0 0.4 72.0 926 Vihanti 48.1 9.4 34.8 12.2 3.4 7.7 17.3 0.3 13.5 2.0 0.1 1.5 79.5 972 Yli-Ii 50.4 9.1 37.1 9.9 2.5 6.4 12.1 0.1 8.9 0.8 0.0 0.6 73.3 977 Ylivieska 48.7 9.3 35.9 16.5 4.7 10.2 18.5 0.5 14.7 3.0 0.3 2.0 86.8 Total 47.3 8.8 34.7 13.2 3.5 8.4 13.6 0.2 10.3 1.5 0.1 1.0 75.5 Lapland 047 Enontekiö 25.3 4.6 19.3 1.9 0.5 1.3 11.3 0.0 3.4 0.1 0.0 0.0 38.5 148 Inari 47.3 7.5 37.0 1.5 0.4 1.0 4.7 0.0 2.1 0.1 0.0 0.0 53.6 240 Kemi 14.5 2.1 10.6 41.2 12.2 25.1 20.9 0.1 16.1 7.1 0.1 5.1 83.6 241 Keminmaa 20.6 3.0 15.6 33.2 7.4 21.9 24.3 0.1 19.1 3.7 0.1 2.6 81.8 261 Kittilä 31.6 6.0 23.2 9.3 2.2 6.1 7.8 0.0 5.6 0.3 0.0 0.2 49.0 273 Kolari 41.9 11.0 27.6 8.4 1.1 5.8 7.7 0.1 5.1 0.6 0.0 0.4 58.7 320 Kemijärvi 43.2 8.5 31.5 7.7 1.3 5.4 7.7 0.0 5.1 0.2 0.0 0.1 58.8 498 Muonio 40.6 8.4 30.0 9.1 2.0 6.2 5.3 0.0 3.2 0.7 0.0 0.3 55.6 583 Pelkosenniemi 31.1 5.1 23.4 11.1 2.0 7.8 11.6 0.0 7.7 0.4 0.0 0.1 54.2 614 Posio 40.4 8.0 29.4 10.0 2.3 6.7 5.7 0.0 3.9 0.4 0.0 0.3 56.5 683 Ranua 37.3 5.5 28.5 8.9 1.6 6.2 8.3 0.0 5.6 0.5 0.0 0.3 55.0 698 Rovaniemi 40.0 8.0 28.7 8.9 1.6 6.1 7.9 0.0 5.5 0.6 0.0 0.4 57.4 732 Salla 29.7 5.1 22.5 13.9 3.1 9.5 8.6 0.0 5.7 0.4 0.0 0.2 52.6 742 Savukoski 34.5 6.5 25.5 7.8 1.7 5.3 5.9 0.0 4.0 0.2 0.0 0.1 48.3 751 Simo 34.9 5.2 26.7 14.8 3.7 9.4 14.1 0.1 10.3 1.7 0.1 1.2 65.5 758 Sodankylä 31.1 6.2 22.5 8.7 1.8 6.0 6.7 0.0 4.4 0.3 0.0 0.1 46.7 845 Tervola 27.3 4.1 20.7 21.9 4.1 15.1 20.2 0.2 15.3 1.7 0.0 1.1 71.0 851 Tornio 18.2 2.6 13.6 32.7 6.5 22.6 23.4 0.1 17.9 4.1 0.0 3.1 78.4 854 Pello 36.9 8.6 25.0 11.4 2.4 7.5 11.0 0.1 7.8 1.6 0.1 0.9 60.9 890 Utsjoki 3.4 0.1 3.0 0.2 0.0 0.2 15.0 0.0 3.3 0.1 0.0 0.0 18.7 976 Ylitornio 32.0 5.6 22.9 11.3 1.6 7.8 11.0 0.0 7.7 0.6 0.0 0.5 54.9 Total 37.5 6.6 28.4 6.1 1.3 4.1 7.7 0.0 4.2 0.4 0.0 0.2 51.7 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 180 Table 6d. The growing stock volume by tree species and roundwood assortment on forest land and poorly productive forest land available for wood supply by forestry centres. Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 Åland 035 Brändö 189 30 138 52 14 32 111 4 69 131 4 89 483 043 Eckerö 536 132 368 202 67 118 151 12 111 80 2 63 969 060 Finström 545 140 371 244 83 143 184 15 136 118 4 93 1 093 062 Föglö 632 129 461 194 59 119 138 8 102 91 3 71 1 054 065 Geta 349 69 250 98 31 59 65 4 49 33 1 26 545 076 Hammarland 639 158 440 257 85 152 200 16 148 107 3 86 1 203 170 Jomala 605 162 407 269 93 155 193 16 141 123 3 97 1 189 295 Kumlinge 269 33 200 27 7 17 77 2 45 83 3 53 456 318 Kökar 8 1 5 3 1 3 39 0 15 37 0 24 87 417 Lemland 530 135 362 244 80 144 186 14 138 106 3 85 1 065 438 Lumparland 190 43 134 64 21 38 41 3 31 23 1 18 318 478 Mariehamn-Maarianhamina 27 5 19 9 3 5 10 1 7 9 0 7 54 736 Saltvik 693 149 492 217 72 129 130 9 97 68 2 54 1 108 766 Sottunga 62 10 46 15 4 9 19 1 12 18 0 12 113 771 Sund 532 121 375 184 61 109 120 9 89 63 2 48 898 941 Vårdö 445 87 322 124 39 75 73 4 54 34 1 26 675 Total 6 251 1 404 4 391 2 201 720 1 307 1 736 116 1 246 1 124 34 853 11 312 Rannikko/Etelärannikko 049 Espoo-Esbo 841 313 495 934 440 438 384 78 264 155 25 102 2 315 078 Hanko-Hangö 523 187 314 385 166 196 107 14 78 33 5 22 1 046 091 Helsinki-Helsingfors 387 151 219 404 196 181 199 39 138 93 14 65 1 082 092 Vantaa-Vanda 379 148 216 577 268 273 329 66 226 149 22 100 1 434 149 Ingå-Inkoo 1 319 476 786 999 433 502 341 60 237 134 26 89 2 793 235 Kauniainen-Grankulla 12 4 7 11 5 5 5 1 3 2 0 1 30 257 Kirkkonummi-Kyrkslätt 1 144 401 691 927 411 455 363 65 253 145 25 94 2 580 322 Kemiönsaari 3 143 1 082 1 929 1 573 665 817 441 59 322 155 25 109 5 312 407 Lapinjärvi-Lappträsk 935 370 531 1 562 684 792 461 85 321 125 30 74 3 084 424 Liljendal 320 125 183 485 212 246 140 27 96 38 9 22 982 434 Loviisa-Lovisa 196 74 115 220 100 107 57 11 40 15 3 10 487 444 Länsi-Turunmaa 3 852 1 242 2 429 1 643 629 902 603 71 439 290 49 200 6 388 585 Pernå-Pernaja 1 532 584 890 2 048 914 1 020 610 116 426 178 40 112 4 368 638 Porvoo-Borgå 2 215 835 1 295 2 817 1 256 1 402 858 169 596 290 62 184 6 180 701 Ruotsinpyhtää-Strömfors 993 379 576 1 335 574 682 475 86 334 122 28 75 2 925 710 Raasepori 5 152 1 917 3 049 3 989 1 789 1 987 1 118 169 803 365 67 248 10 625 753 Sipoo-Sibbo 984 387 560 1 570 759 728 494 100 342 200 37 131 3 248 755 Siuntio-Sjundeå 615 227 361 655 281 331 269 46 186 113 22 69 1 651 Total 24 542 8 901 14 645 22 132 9 783 11 064 7 255 1 261 5 105 2 602 492 1 708 56 531 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 20 4 14 20 6 12 18 1 13 3 0 2 60 280 Korsnäs 665 162 465 704 212 433 447 19 321 81 8 59 1 897 287 Kristinestad-Kristiinankaupunki 2 763 641 1 954 1 847 726 987 765 41 555 130 9 88 5 504 288 Kronoby-Kruunupyy 2 921 558 2 162 1 196 380 707 1 059 37 829 142 17 98 5 318 440 Larsmo-Luoto 482 81 365 265 89 153 207 7 154 53 8 36 1 006 475 Malax-Maalahti 1 419 324 1 006 1 398 427 855 932 37 673 178 14 132 3 927 499 Korsholm-Mustasaari 2 093 424 1 557 2 805 967 1 636 1 550 56 1 157 362 16 280 6 810 545 Närpes-Närpiö 3 272 749 2 322 2 449 856 1 401 1 177 53 845 141 16 93 7 039 559 Oravais-Oravainen 555 105 414 416 123 253 358 14 265 55 6 37 1 385 598 Jakobstad-Pietarsaari 261 47 196 136 36 86 140 4 108 20 2 14 558 599 Pedersöre-Pedersören kunta 3 115 564 2 334 1 350 400 822 1 258 40 988 141 16 96 5 865 893 Nykarleby-Uusikaarlepyy 2 684 519 1 997 1 372 409 835 1 170 48 882 155 21 100 5 381 905 Vaasa-Vasa 393 87 287 657 229 386 340 13 254 81 3 62 1 471 945 Vörå-Maxmo Vöyri-Maksamaa 1 489 309 1 085 1 422 455 847 1 010 43 731 187 16 135 4 108 Total 22 135 4 574 16 159 16 036 5 314 9 412 10 430 412 7 776 1 729 154 1 229 50 329 Lounais-Suomi 019 Aura 267 102 155 198 85 101 68 8 48 28 5 19 560 050 Eura 2 325 890 1 359 1 682 661 899 685 66 500 191 26 150 4 883 051 Eurajoki 1 245 421 784 1 189 468 627 460 35 329 92 8 68 2 987 079 Harjavalta 404 132 258 393 160 205 166 15 120 23 2 18 987 099 Honkajoki 1 371 337 952 240 90 130 261 17 191 29 2 17 1 900 102 Huittinen 1 410 492 865 1 588 694 799 576 65 409 102 15 74 3 676 181 Jämijärvi 626 184 409 431 194 205 227 16 168 43 4 29 1 327 202 Kaarina 472 171 284 286 115 152 114 13 82 58 10 40 930 214 Kankaanpää 2 724 756 1 819 1 198 554 564 685 44 504 135 12 93 4 744 230 Karvia 2 121 526 1 469 375 131 214 369 24 268 42 4 25 2 907 254 Kiikoinen 512 176 315 498 223 244 171 15 126 23 1 17 1 204 271 Kokemäki 1 650 554 1 027 1 454 640 723 602 58 438 107 6 88 3 813 284 Koski T.l. 490 218 257 505 242 241 195 21 140 43 10 26 1 233 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 181 Table 6d. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 304 Kustavi 728 216 474 219 76 126 95 10 69 48 7 33 1 090 319 Köyliö 1 080 416 633 534 237 264 185 17 130 33 4 26 1 831 400 Laitila 2 146 784 1 292 1 182 438 653 466 51 342 119 21 89 3 913 413 Lavia 1 470 508 903 1 105 496 541 405 38 304 65 4 48 3 045 423 Lieto 623 236 366 388 166 200 123 16 88 47 8 34 1 182 430 Loimaa 1 986 854 1 072 2 100 1 028 974 678 78 490 173 46 107 4 938 442 Luvia 854 277 553 672 258 371 318 24 249 66 9 48 1 909 480 Marttila 580 215 344 457 196 234 169 21 121 60 12 41 1 266 481 Masku 659 231 403 338 133 182 127 14 92 57 9 40 1 181 484 Merikarvia 1 870 541 1 235 1 562 733 734 565 35 423 163 12 116 4 162 503 Mynämäki 2 106 743 1 282 1 191 466 647 493 59 358 148 27 104 3 939 529 Naantali 1 248 396 794 456 172 253 169 19 123 86 13 60 1 959 531 Nakkila 521 159 342 545 217 290 230 19 170 44 5 33 1 341 537 Noormarkku 1 352 475 825 1 435 648 706 504 49 371 100 13 71 3 390 538 Nousiainen 770 281 462 463 194 242 150 18 110 50 9 35 1 433 561 Oripää 368 133 222 241 102 124 88 11 64 25 4 17 722 577 Paimio 863 320 514 525 225 270 163 21 117 62 11 43 1 613 608 Pomarkku 1 297 479 767 1 527 760 695 419 45 304 77 7 57 3 321 609 Pori 1 551 545 960 1 432 572 769 652 62 490 151 24 105 3 785 631 Pyhäranta 683 246 416 467 176 261 186 21 140 62 4 50 1 397 636 Pöytyä 2 939 1 065 1 766 1 938 809 1 015 712 89 518 212 43 145 5 801 680 Raisio 144 51 88 72 28 39 31 3 22 16 2 11 262 684 Rauma 2 170 779 1 317 1 367 550 726 541 49 405 174 13 134 4 252 704 Rusko 464 170 278 287 118 152 102 13 74 35 6 24 888 734 Salo 7 562 2 870 4 435 5 872 2 627 2 929 1 792 236 1 289 636 123 436 15 862 738 Sauvo 975 345 594 548 222 292 188 23 137 78 14 54 1 789 747 Siikainen 2 072 583 1 383 1 427 683 656 604 36 449 153 12 107 4 255 761 Somero 1 731 687 984 2 193 1 041 1 039 710 90 496 143 25 96 4 776 783 Säkylä 576 227 330 350 153 176 139 14 101 46 8 35 1 112 833 Taivassalo 543 171 348 192 70 109 80 8 58 40 6 28 855 838 Tarvasjoki 286 108 168 214 91 110 71 9 51 29 6 20 599 853 Turku-Åbo 655 235 396 383 155 203 163 19 116 79 12 56 1 280 886 Ulvila 1 520 504 950 1 587 679 805 615 60 447 107 11 80 3 829 895 Uusikaupunki 2 202 736 1 379 929 341 520 424 45 305 174 27 123 3 730 918 Vehmaa 698 236 434 299 110 167 136 15 98 59 9 41 1 192 Total 62 907 21 780 38 660 44 534 19 226 22 579 17 075 1 732 12 443 4 533 669 3 213 129 048 Häme-Uusimaa 015 Artjärvi 390 155 221 731 337 357 204 37 140 73 15 44 1 399 016 Asikkala 1 781 788 929 3 127 1 552 1 422 1 016 180 706 326 43 217 6 250 018 Askola 472 192 262 948 428 471 279 56 190 98 23 57 1 796 061 Forssa 528 253 256 1 213 629 533 308 43 221 70 11 48 2 118 081 Hartola 1 846 924 860 3 501 1 818 1 540 1 144 201 807 305 32 207 6 796 082 Hattula 1 051 450 565 1 443 648 706 568 96 396 188 33 118 3 250 086 Hausjärvi 789 374 384 1 433 670 696 354 53 241 108 14 71 2 685 098 Hollola 1 082 516 529 2 376 1 201 1 068 584 79 412 211 28 136 4 253 103 Humppila 367 160 195 662 342 297 135 13 100 42 7 28 1 205 106 Hyvinkää 791 351 407 1 486 709 710 406 66 281 125 17 82 2 809 109 Hämeenlinna 5 224 2 397 2 648 10 168 4 935 4 741 2 733 437 1 914 722 123 467 18 847 111 Heinola 3 191 1 540 1 540 3 327 1 708 1 461 1 385 260 945 386 53 250 8 288 165 Janakkala 1 407 649 710 2 632 1 270 1 233 713 122 493 238 38 155 4 990 169 Jokioinen 255 105 142 674 341 307 151 17 110 49 4 37 1 129 186 Järvenpää 42 17 23 79 35 39 38 7 26 20 3 13 178 223 Karjalohja 357 128 212 326 139 166 177 28 123 66 12 42 926 224 Karkkila 819 321 468 1 159 531 563 379 70 261 133 29 80 2 491 245 Kerava 49 19 27 71 32 35 38 7 26 18 3 12 176 283 Hämeenkoski 359 171 175 1 019 495 477 244 31 171 81 11 52 1 703 316 Kärkölä 427 189 221 1 122 527 541 273 37 184 84 10 53 1 906 398 Lahti 254 108 137 449 237 190 144 20 100 63 7 40 910 433 Loppi 1 963 845 1 047 2 909 1 397 1 361 851 153 582 272 47 170 5 994 444 Lohja 855 317 500 951 414 477 453 74 310 200 34 123 2 458 504 Myrskylä-Mörskom 513 206 288 957 414 490 311 58 215 102 25 59 1 883 505 Mäntsälä 1 218 551 615 3 155 1 503 1 516 678 106 461 191 28 122 5 241 532 Nastola 1 028 453 535 1 404 694 641 526 85 366 185 24 119 3 142 540 Nummi-Pusula 1 560 581 917 1 550 672 781 665 109 462 228 45 139 4 003 543 Nurmijärvi 617 243 348 963 434 469 430 74 294 204 32 125 2 214 560 Orimattila 1 376 619 705 2 428 1 185 1 120 633 92 436 215 30 138 4 651 576 Padasjoki 1 937 859 1 013 3 189 1 509 1 512 883 164 608 268 53 169 6 278 611 Pornainen 338 132 193 603 268 301 217 41 151 88 19 54 1 246 616 Pukkila 257 103 144 525 226 270 187 33 130 72 16 42 1 042 694 Riihimäki 227 101 116 504 249 233 143 24 98 56 8 36 930 781 Sysmä 2 477 1 395 1 006 4 056 2 188 1 714 1 412 279 982 481 57 336 8 427 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 182 Table 6d. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 834 Tammela 2 185 879 1 227 2 963 1 427 1 371 1 004 158 715 128 24 88 6 280 858 Tuusula 346 139 193 699 318 340 305 55 210 146 24 94 1 495 927 Vihti 1 368 516 798 1 823 808 906 707 127 488 283 55 172 4 181 981 Ypäjä 326 133 183 724 367 329 158 16 118 48 6 35 1 257 Total 40 073 17 876 20 739 67 348 32 659 31 384 20 836 3 507 14 474 6 571 1 043 4 232 134 828 Kaakkois-Suomi 075 Hamina 2 753 1 020 1 618 2 105 968 1 022 726 82 533 170 27 117 5 755 142 Iitti 1 978 894 1 014 3 009 1 568 1 308 976 178 682 266 41 168 6 229 153 Imatra 496 214 268 688 324 334 225 32 166 65 6 44 1 474 285 Kotka 1 053 420 590 695 295 355 295 35 214 74 7 51 2 116 286 Kouvola 11 643 5 115 6 090 9 760 4 904 4 353 3 515 546 2 442 842 122 540 25 761 405 Lappeenranta 4 203 1 693 2 352 3 917 1 905 1 821 1 322 163 965 359 45 241 9 802 416 Lemi 983 401 541 796 378 377 302 42 213 67 7 45 2 148 441 Luumäki 3 865 1 476 2 225 2 933 1 413 1 364 1 048 120 766 215 33 145 8 060 489 Miehikkälä 1 974 669 1 221 1 741 806 847 530 55 394 117 20 82 4 362 580 Parikkala 2 139 851 1 214 2 469 1 089 1 263 1 060 126 790 281 19 191 5 949 624 Pyhtää-Pyttis 1 096 421 632 1 232 525 633 471 83 334 125 30 78 2 925 689 Rautjärvi 1 354 565 748 1 902 842 965 725 94 536 202 18 136 4 182 700 Ruokolahti 5 762 2 481 3 080 3 620 1 677 1 763 1 634 212 1 191 360 32 236 11 375 739 Savitaipale 3 181 1 295 1 750 1 448 632 728 771 107 537 137 11 88 5 538 775 Suomenniemi 2 033 849 1 099 829 356 421 422 64 290 86 6 55 3 370 831 Taipalsaari 2 064 851 1 125 789 327 420 501 79 349 91 7 56 3 446 935 Virolahti 1 583 536 979 1 385 601 710 404 40 300 91 16 64 3 464 978 Ylämaa 1 947 693 1 176 1 722 831 804 531 55 397 114 20 78 4 313 Total 50 107 20 445 27 723 41 039 19 443 19 489 15 460 2 114 11 099 3 664 468 2 414 110 270 Pirkanmaa 020 Akaa 183 86 90 344 159 165 138 20 97 32 5 21 697 108 Hämeenkyrö 1 258 470 739 1 763 813 848 787 98 573 163 23 109 3 971 143 Ikaalinen 3 092 1 054 1 909 2 593 1 193 1 238 1 099 115 793 223 27 149 7 007 177 Juupajoki 1 001 419 547 1 317 665 585 403 53 291 81 12 54 2 802 211 Kangasala 1 340 629 672 2 087 1 015 952 814 142 583 203 31 141 4 444 250 Kihniö 2 081 536 1 436 614 222 334 471 30 341 57 9 35 3 223 289 Kuhmalahti 545 236 288 806 363 395 268 47 184 83 15 52 1 701 310 Kylmäkoski 461 210 234 829 398 391 251 38 178 55 10 39 1 597 418 Lempäälä 552 249 289 1 352 676 600 482 101 331 142 18 104 2 528 508 Mänttä-Vilppula 2 234 874 1 280 3 090 1 540 1 390 1 026 138 738 263 32 183 6 612 536 Nokia 741 353 369 1 240 595 579 507 92 356 131 25 89 2 620 562 Orivesi 3 046 1 302 1 641 4 540 2 288 2 026 1 404 200 1 011 303 46 203 9 293 581 Parkano 4 507 1 232 3 037 1 595 640 821 1 013 66 742 155 17 102 7 270 604 Pirkkala 144 64 77 372 182 169 145 32 99 49 7 35 709 619 Punkalaidun 1 115 534 546 1 335 673 602 375 37 270 93 24 58 2 918 635 Pälkäne 1 584 737 793 3 677 1 783 1 728 951 182 658 337 57 225 6 549 702 Ruovesi 3 264 1 271 1 874 4 069 2 028 1 840 1 207 159 873 280 35 193 8 821 790 Sastamala 4 464 1 519 2 760 4 935 2 312 2 335 1 783 230 1 269 302 36 213 11 484 837 Tampere 1 812 776 976 2 848 1 416 1 288 954 152 686 210 31 142 5 824 887 Urjala 1 408 644 720 2 268 1 128 1 043 654 75 474 169 37 109 4 499 908 Valkeakoski 514 249 248 1 071 512 499 403 82 277 121 24 82 2 108 922 Vesilahti 733 372 339 1 271 657 554 360 64 250 62 14 42 2 425 936 Virrat 6 363 1 915 4 122 3 446 1 445 1 763 1 439 108 1 058 232 33 147 11 480 980 Ylöjärvi 5 262 1 898 3 165 4 887 2 275 2 329 1 818 220 1 319 354 46 242 12 321 Total 47 705 17 628 28 152 52 349 24 980 24 476 18 751 2 481 13 454 4 098 616 2 769 122 902 Etelä-Savo 046 Enonkoski 1 099 478 586 1 373 618 684 471 59 348 151 14 101 3 094 090 Heinävesi 4 170 1 593 2 443 5 375 2 436 2 637 1 813 223 1 360 494 29 333 11 853 097 Hirvensalmi 1 965 1 003 900 2 022 985 939 1 029 199 698 343 44 220 5 359 171 Joroinen 2 425 973 1 359 2 581 1 376 1 072 895 99 626 206 21 124 6 107 178 Juva 5 841 2 557 3 054 4 971 2 485 2 215 1 850 268 1 266 437 55 279 13 100 213 Kangasniemi 4 752 2 125 2 429 4 582 2 368 1 975 1 815 272 1 211 476 53 302 11 625 246 Kerimäki 2 410 1 035 1 288 2 627 1 198 1 302 1 064 127 779 259 23 172 6 361 491 Mikkeli 7 620 3 524 3 804 6 912 3 400 3 132 3 086 484 2 113 837 107 533 18 454 507 Mäntyharju 6 149 2 709 3 197 3 449 1 586 1 673 1 764 280 1 210 426 47 273 11 788 588 Pertunmaa 1 417 688 682 1 933 935 899 894 164 608 255 31 162 4 499 593 Pieksämäki 7 363 2 860 4 180 6 511 3 293 2 820 2 656 331 1 868 589 51 364 17 117 618 Punkaharju 2 390 1 025 1 286 2 254 1 058 1 095 861 107 631 195 16 131 5 701 623 Puumala 5 793 2 332 3 231 1 770 744 936 1 309 175 950 233 12 138 9 105 681 Rantasalmi 2 058 848 1 138 2 120 934 1 065 897 103 658 279 25 189 5 354 696 Ristiina 3 287 1 520 1 644 2 231 1 066 1 048 1 066 175 738 270 32 174 6 854 740 Savonlinna 5 947 2 583 3 160 5 230 2 343 2 618 2 126 271 1 551 541 44 361 13 844 768 Sulkava 3 480 1 513 1 837 1 912 854 952 1 012 128 726 217 16 141 6 621 Total 68 166 29 367 36 220 57 855 27 678 27 061 24 607 3 465 17 342 6 208 622 3 998 156 837 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 183 Table 6d. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 Etelä-Pohjanmaa 005 Alajärvi 5 566 1 435 3 814 1 087 404 593 1 036 69 752 129 14 83 7 818 010 Alavus 3 902 1 084 2 584 885 321 504 736 55 531 79 9 46 5 603 052 Evijärvi 1 331 242 984 392 123 229 468 18 358 76 10 53 2 267 074 Halsua 1 864 394 1 310 190 77 95 399 16 301 46 2 38 2 499 095 Himanka 1 131 220 830 333 107 196 307 8 241 45 5 31 1 816 145 Ilmajoki 1 939 481 1 334 933 352 506 500 34 363 59 6 38 3 430 151 Isojoki 2 786 635 1 974 1 111 459 572 596 36 440 73 6 50 4 566 152 Isokyrö 890 183 640 509 154 305 408 17 293 66 10 44 1 874 164 Jalasjärvi 3 330 873 2 262 837 301 472 651 50 463 93 13 54 4 912 217 Kannus 1 914 357 1 405 451 141 266 596 18 467 49 4 37 3 011 218 Karijoki 756 148 556 381 146 209 159 7 114 16 2 10 1 312 232 Kauhajoki 4 971 971 3 653 1 307 475 740 780 45 563 61 5 39 7 119 233 Kauhava 4 770 915 3 506 1 126 336 664 1 247 47 941 278 35 196 7 421 236 Kaustinen 1 439 270 1 060 343 102 206 397 12 310 52 5 37 2 232 272 Kokkola-Karleby 5 611 1 060 4 125 1 757 576 1 020 1 633 54 1 260 246 28 172 9 247 300 Kuortane 2 552 734 1 683 512 198 273 470 30 336 49 5 28 3 583 301 Kurikka 3 286 726 2 334 1 585 579 881 853 48 610 105 12 66 5 829 399 Laihia 1 612 360 1 148 1 091 351 644 734 34 536 116 19 78 3 553 403 Lappajärvi 1 906 393 1 382 456 142 266 507 22 388 104 11 77 2 974 408 Lapua 2 713 557 1 973 834 268 488 771 32 587 128 14 91 4 446 421 Lestijärvi 1 851 344 1 360 493 162 291 562 17 424 89 6 64 2 995 584 Perho 3 183 639 2 302 619 215 350 688 23 519 90 6 63 4 580 743 Seinäjoki 5 161 1 275 3 555 1 531 530 857 1 414 99 1 025 206 21 131 8 313 759 Soini 3 057 796 2 096 788 311 419 609 41 451 91 7 62 4 545 846 Teuva 2 062 391 1 519 995 376 547 472 22 331 58 6 37 3 586 849 Toholampi 2 188 451 1 568 594 200 340 613 23 472 72 5 56 3 467 863 Töysä 1 803 548 1 164 411 167 212 275 18 193 30 3 17 2 519 924 Veteli 1 985 373 1 466 490 158 288 530 17 414 73 7 53 3 078 934 Vimpeli 1 173 237 853 307 105 177 324 12 251 48 4 34 1 852 942 Vähäkyrö 300 71 210 297 90 182 244 10 172 55 4 39 896 989 Ähtäri 4 807 1 353 3 214 1 583 638 833 1 031 88 747 161 16 106 7 582 Total 81 842 18 516 57 867 24 231 8 565 13 622 20 010 1 021 14 853 2 845 300 1 929 128 928 Keski-Suomi 077 Hankasalmi 1 984 775 1 116 2 377 1 303 951 999 120 690 196 17 123 5 556 172 Joutsa 3 516 1 652 1 742 4 283 2 150 1 925 1 782 319 1 237 470 48 312 10 051 179 Jyväskylä 4 151 1 782 2 210 5 560 2 964 2 317 1 988 272 1 433 507 60 324 12 207 182 Jämsä 6 566 2 494 3 777 6 522 3 398 2 770 2 250 266 1 594 512 53 330 15 850 216 Kannonkoski 2 567 768 1 690 1 327 577 671 682 55 507 121 8 87 4 697 226 Karstula 4 814 1 249 3 315 1 800 728 943 1 299 82 987 170 10 118 8 083 249 Keuruu 6 969 2 324 4 362 4 620 2 091 2 254 1 955 205 1 409 366 49 243 13 911 256 Kinnula 2 301 502 1 646 787 288 439 663 29 505 94 7 65 3 844 265 Kivijärvi 2 633 725 1 777 1 083 460 549 642 44 485 96 6 67 4 454 275 Konnevesi 1 998 787 1 129 2 488 1 352 1 008 941 104 692 193 17 112 5 620 291 Kuhmoinen 2 517 1 084 1 340 3 473 1 855 1 448 967 133 693 259 34 173 7 217 312 Kyyjärvi 2 333 545 1 652 578 216 313 574 29 442 69 4 49 3 553 410 Laukaa 2 290 909 1 280 2 370 1 267 979 941 125 644 206 20 128 5 808 435 Luhanka 782 420 334 1 231 661 521 462 76 339 153 15 101 2 627 495 Multia 4 314 1 235 2 882 2 005 906 970 1 078 76 804 156 12 108 7 553 500 Muurame 427 189 223 782 415 328 245 35 180 69 9 44 1 523 592 Petäjävesi 1 968 642 1 234 1 696 870 731 644 64 465 121 10 72 4 428 601 Pihtipudas 4 698 880 3 534 2 473 774 1 496 1 684 80 1 284 305 24 195 9 160 729 Saarijärvi 6 339 1 894 4 161 3 636 1 632 1 784 2 039 156 1 526 319 22 219 12 332 850 Toivakka 1 537 656 819 1 378 696 606 646 99 449 165 19 106 3 725 892 Uurainen 1 559 508 977 1 169 601 501 480 48 347 80 6 48 3 288 931 Viitasaari 5 887 1 713 3 883 3 994 1 676 2 053 1 909 187 1 364 456 38 282 12 246 992 Äänekoski 4 034 1 534 2 339 3 877 2 006 1 667 1 397 168 1 011 288 28 165 9 596 Total 76 186 25 268 47 422 59 506 28 888 27 224 26 268 2 771 19 087 5 370 516 3 473 167 330 Pohjois-Savo 140 Iisalmi 1 666 445 1 137 2 647 1 206 1 280 1 341 128 1 009 324 25 183 5 977 174 Juankoski 1 446 461 917 1 840 906 837 731 77 532 200 13 118 4 218 204 Kaavi 3 150 981 2 021 2 599 1 189 1 260 1 018 94 723 189 9 115 6 956 227 Karttula 1 904 743 1 082 2 300 1 189 982 919 114 660 220 20 135 5 343 239 Keitele 2 027 628 1 299 1 870 888 869 815 81 577 123 9 72 4 835 263 Kiuruvesi 3 798 953 2 650 3 234 1 148 1 816 2 358 139 1 813 455 31 287 9 846 297 Kuopio 3 334 1 309 1 905 5 947 3 211 2 494 2 029 309 1 465 772 61 445 12 082 402 Lapinlahti 1 502 402 1 023 2 400 1 109 1 153 1 129 109 853 240 19 132 5 270 420 Leppävirta 3 791 1 480 2 176 6 685 3 495 2 870 2 234 316 1 644 606 39 355 13 317 476 Maaninka 1 090 343 698 2 049 1 004 938 813 90 605 192 16 111 4 145 534 Nilsiä 2 041 643 1 304 3 137 1 560 1 421 1 151 125 850 301 23 171 6 630 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 184 Table 6d. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 595 Pielavesi 4 109 1 224 2 683 4 416 1 878 2 244 2 217 214 1 651 422 36 254 11 164 686 Rautalampi 2 170 883 1 196 2 176 1 065 982 972 135 692 221 18 136 5 538 687 Rautavaara 5 463 1 460 3 718 2 741 1 082 1 452 1 487 102 1 081 195 12 119 9 886 749 Siilinjärvi 753 250 470 1 696 889 728 593 65 443 175 12 98 3 217 762 Sonkajärvi 6 102 1 505 4 248 3 230 1 251 1 716 2 128 133 1 561 338 24 205 11 797 778 Suonenjoki 3 151 1 243 1 773 3 228 1 694 1 354 1 222 158 863 271 24 164 7 871 844 Tervo 1 219 494 673 1 451 704 659 717 96 514 161 12 99 3 547 857 Tuusniemi 1 618 601 954 2 949 1 503 1 306 1 042 141 767 319 19 189 5 927 915 Varkaus 1 437 591 799 2 070 1 060 909 766 112 568 199 12 124 4 472 916 Varpaisjärvi 1 492 447 972 1 652 755 797 754 72 558 179 16 103 4 077 921 Vesanto 1 702 634 998 1 755 885 777 738 96 526 155 14 92 4 350 925 Vieremä 3 240 830 2 232 2 077 770 1 138 1 502 96 1 119 265 18 165 7 083 Total 58 205 18 551 36 932 64 150 30 442 29 980 28 676 3 003 21 076 6 519 481 3 871 157 550 Pohjois-Karjala 146 Ilomantsi 14 893 4 538 9 540 4 526 2 056 2 129 2 994 269 2 045 411 17 191 22 824 167 Joensuu 10 890 4 065 6 358 8 592 4 300 3 824 3 847 523 2 620 681 36 359 24 011 176 Juuka 7 991 2 650 4 968 3 844 1 734 1 845 2 173 240 1 489 286 16 146 14 294 248 Kesälahti 2 015 850 1 091 1 263 584 617 675 80 485 137 7 83 4 090 260 Kitee 3 509 1 439 1 929 3 197 1 583 1 458 1 512 184 1 072 307 16 179 8 524 276 Kontiolahti 3 898 1 589 2 144 2 316 1 100 1 076 1 319 155 924 237 14 130 7 769 309 Outokumpu 2 175 872 1 215 1 317 580 653 702 82 522 175 10 110 4 369 422 Lieksa 18 387 6 078 11 289 5 377 2 241 2 699 4 082 376 2 748 596 20 276 28 441 426 Liperi 3 048 1 304 1 634 2 245 1 051 1 068 1 072 130 789 270 20 166 6 636 541 Nurmes 7 375 2 029 4 950 3 959 1 675 1 986 2 516 205 1 738 328 16 186 14 177 607 Polvijärvi 3 917 1 542 2 214 1 701 712 865 1 276 140 920 234 16 140 7 128 707 Rääkkylä 1 775 777 932 1 677 827 772 868 94 659 221 14 141 4 541 848 Tohmajärvi 3 723 1 307 2 258 2 867 1 404 1 310 1 209 157 829 192 10 102 7 990 911 Valtimo 3 378 829 2 365 2 044 736 1 134 1 315 72 971 184 11 113 6 922 Total 86 973 29 868 52 888 44 924 20 583 21 435 25 559 2 709 17 810 4 259 224 2 320 161 716 Kainuu 105 Hyrynsalmi 5 781 1 602 3 812 2 114 689 1 244 1 670 26 1 185 157 7 95 9 722 205 Kajaani 8 486 1 901 6 040 2 025 668 1 158 2 540 59 1 863 257 9 171 13 308 290 Kuhmo 22 005 6 943 13 608 5 165 1 471 3 142 4 335 137 2 894 314 5 173 31 819 578 Paltamo 4 303 1 176 2 895 1 962 777 1 046 1 355 41 997 179 7 112 7 800 620 Puolanka 8 749 1 814 6 330 3 143 914 1 930 2 695 27 1 927 268 13 192 14 855 697 Ristijärvi 3 699 975 2 488 1 501 521 854 1 084 19 756 95 4 58 6 378 765 Sotkamo 12 344 3 192 8 421 5 066 1 745 2 872 3 675 128 2 651 438 23 301 21 522 777 Suomussalmi 18 824 4 794 12 632 5 252 1 280 3 418 3 973 46 2 739 419 18 272 28 468 785 Vaala 4 838 824 3 589 625 168 394 1 310 7 1 010 68 4 51 6 842 Total 89 028 23 220 59 815 26 853 8 235 16 057 22 638 490 16 020 2 194 90 1 426 140 714 Pohjois-Pohjanmaa 009 Alavieska 878 141 664 251 68 157 259 5 203 41 4 27 1 429 069 Haapajärvi 3 046 589 2 252 1 462 461 885 1 273 49 1 003 219 15 150 6 000 071 Haapavesi 3 880 712 2 890 1 338 395 820 1 669 50 1 323 229 18 154 7 116 072 Hailuoto 603 136 418 116 34 70 163 1 126 26 1 18 907 084 Haukipudas 1 766 386 1 246 462 144 279 423 4 328 55 5 36 2 706 139 Ii 5 426 1 062 3 955 1 530 423 949 1 493 14 1 105 156 9 106 8 605 208 Kalajoki 2 467 356 1 889 546 128 354 807 14 642 90 6 60 3 910 244 Kempele 315 65 224 83 24 52 114 1 89 14 1 9 526 255 Kiiminki 1 386 293 983 374 126 218 298 2 232 37 2 27 2 095 305 Kuusamo 15 256 3 408 10 756 5 894 1 431 3 939 3 135 23 2 242 302 10 171 24 586 317 Kärsämäki 2 855 502 2 148 1 100 352 655 1 225 30 965 154 10 110 5 335 425 Liminka 1 795 300 1 323 292 68 190 715 7 554 74 3 52 2 877 436 Lumijoki 578 117 413 129 33 82 265 4 208 34 1 23 1 006 483 Merijärvi 849 145 638 295 76 187 303 6 237 42 5 29 1 490 494 Muhos 2 698 482 1 968 366 104 228 671 4 514 51 3 38 3 787 535 Nivala 1 538 312 1 126 711 227 426 601 23 474 124 11 80 2 974 563 Oulainen 2 060 375 1 530 768 211 474 777 20 613 131 15 90 3 736 564 Oulu 5 861 1 166 4 215 1 235 358 768 1 244 6 960 112 7 79 8 451 567 Oulunsalo 249 56 175 68 19 43 85 1 66 12 1 7 413 615 Pudasjärvi 17 904 2 896 13 542 3 915 808 2 661 3 684 22 2 586 220 5 162 25 723 625 Pyhäjoki 2 117 322 1 603 558 139 356 755 15 607 94 9 64 3 524 626 Pyhäsalmi 5 227 1 025 3 864 2 660 803 1 620 2 337 81 1 865 341 22 239 10 565 630 Pyhäntä 3 408 604 2 517 650 181 408 1 023 11 786 80 5 61 5 160 678 Raahe 2 146 449 1 529 517 162 312 687 7 533 89 7 64 3 440 691 Reisjärvi 1 897 319 1 432 706 223 422 714 23 561 107 7 72 3 424 746 Sievi 3 045 478 2 309 783 232 473 1 021 28 803 131 9 88 4 980 748 Siikajoki 3 513 645 2 558 600 159 383 1 217 14 936 129 7 92 5 459 791 Siikalatva 8 794 1 476 6 557 1 559 416 996 3 141 28 2 423 256 14 193 13 750 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 185 Table 6d. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 832 Taivalkoski 8 339 1 819 5 987 2 942 766 1 925 1 656 17 1 174 203 6 155 13 139 859 Tyrnävä 1 548 262 1 136 221 55 143 468 3 359 42 2 30 2 279 889 Utajärvi 6 360 1 095 4 713 809 209 515 1 354 7 1 032 59 3 46 8 583 926 Vihanti 1 829 357 1 325 464 131 291 656 11 513 76 4 57 3 025 972 Yli-Ii 2 918 527 2 149 573 144 369 701 5 514 49 2 34 4 240 977 Ylivieska 2 098 400 1 545 712 204 438 799 23 632 131 12 87 3 740 Total 124 647 23 277 91 577 34 689 9 315 22 089 35 734 560 27 208 3 909 242 2 711 198 979 Lapland 047 Enontekiö 3 634 662 2 783 274 70 184 1 622 0 491 15 0 0 5 544 148 Inari 25 232 3 984 19 750 821 237 537 2 524 0 1 134 49 0 18 28 626 240 Kemi 93 14 68 264 78 161 134 0 103 45 0 33 536 241 Keminmaa 926 133 703 1 492 331 983 1 093 6 860 168 3 118 3 679 261 Kittilä 16 361 3 109 12 037 4 803 1 129 3 153 4 064 10 2 906 168 19 82 25 396 273 Kolari 8 855 2 332 5 841 1 784 232 1 220 1 618 17 1 076 134 4 76 12 392 320 Kemijärvi 12 706 2 500 9 258 2 261 389 1 576 2 264 12 1 512 68 0 24 17 299 498 Muonio 5 214 1 081 3 852 1 166 252 801 682 0 405 85 0 39 7 148 583 Pelkosenniemi 4 121 670 3 099 1 469 263 1 039 1 541 5 1 019 51 0 19 7 182 614 Posio 8 753 1 739 6 376 2 158 495 1 456 1 245 9 845 95 1 61 12 251 683 Ranua 9 491 1 408 7 245 2 274 396 1 583 2 110 9 1 436 127 2 88 14 002 698 Rovaniemi 25 624 5 111 18 366 5 696 1 035 3 896 5 067 21 3 516 350 6 225 36 737 732 Salla 12 042 2 055 9 131 5 621 1 268 3 861 3 499 3 2 305 155 1 65 21 317 742 Savukoski 14 016 2 638 10 367 3 154 671 2 162 2 412 2 1 618 66 0 19 19 648 751 Simo 3 241 478 2 481 1 378 341 870 1 312 9 958 158 7 110 6 090 758 Sodankylä 19 698 3 916 14 241 5 504 1 125 3 819 4 228 5 2 812 171 6 63 29 601 845 Tervola 3 265 487 2 474 2 616 492 1 802 2 414 24 1 827 199 3 129 8 494 851 Tornio 1 621 228 1 212 2 913 581 2 013 2 087 11 1 597 363 2 277 6 983 854 Pello 5 641 1 323 3 827 1 736 366 1 149 1 687 20 1 186 250 14 143 9 314 890 Utsjoki 141 4 123 8 1 6 622 0 135 4 0 0 775 976 Ylitornio 5 347 931 3 838 1 887 263 1 308 1 836 5 1 285 107 0 76 9 177 Total 186 023 34 804 137 073 49 280 10 015 33 579 44 062 168 29 026 2 827 69 1 666 282 191 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 186 Table 7a. The mean volume of growing stock by tree species and roundwood assortment on forest land by forestry centres. Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha Åland 035 Brändö 48.7 10.7 34.7 18.0 5.1 11.0 28.7 1.6 17.7 33.0 1.5 26.8 128.4 043 Eckerö 80.0 22.7 53.2 34.3 11.7 20.0 25.6 2.1 18.9 13.5 0.4 10.6 153.4 060 Finström 73.0 21.1 48.2 36.5 12.5 21.2 27.7 2.4 20.3 17.7 0.6 14.1 154.8 062 Föglö 85.8 21.0 60.4 30.8 9.8 18.7 21.6 1.2 16.0 13.5 0.5 11.0 151.7 065 Geta 85.8 22.7 58.6 31.8 10.4 18.9 21.1 1.4 15.8 10.7 0.3 8.6 149.4 076 Hammarland 77.4 21.7 51.8 34.8 11.7 20.4 27.0 2.2 20.1 14.5 0.5 11.6 153.7 170 Jomala 72.9 21.4 47.9 35.2 12.3 20.2 25.3 2.1 18.4 16.0 0.4 12.7 149.4 295 Kumlinge 73.2 14.6 54.4 11.5 3.2 7.2 23.3 1.0 13.3 23.4 1.5 18.7 131.5 318 Kökar 9.4 1.8 6.8 11.3 2.2 8.6 18.3 0.0 7.4 92.6 1.1 60.1 131.6 417 Lemland 72.7 20.6 48.4 36.9 12.4 21.6 28.0 2.2 20.8 15.9 0.5 12.8 153.5 438 Lumparland 87.8 23.8 59.6 35.0 12.0 20.5 22.4 1.6 16.8 12.3 0.4 10.0 157.5 478 Mariehamn-Maarianhamina 53.9 12.9 37.7 21.7 6.4 13.2 24.4 1.9 17.5 23.6 0.4 18.0 123.6 736 Saltvik 91.4 24.8 62.0 35.4 12.1 20.8 21.1 1.4 15.7 10.8 0.4 8.7 158.7 766 Sottunga 71.1 16.1 50.9 23.2 6.9 14.3 22.8 1.1 15.2 19.3 0.7 15.8 136.4 771 Sund 85.8 23.6 57.9 35.5 12.0 20.8 23.1 1.7 17.2 11.9 0.3 9.3 156.3 941 Vårdö 94.0 24.2 64.9 34.3 11.3 20.5 19.9 1.2 14.9 8.8 0.3 7.1 157.0 Total 78.6 21.3 53.3 33.0 11.0 19.4 24.6 1.8 17.9 15.4 0.5 12.3 151.6 Rannikko/Etelärannikko 049 Espoo-Esbo 56.0 21.8 32.2 66.4 31.6 31.1 26.1 5.3 17.9 10.3 1.7 6.8 158.8 078 Hanko-Hangö 78.2 31.1 44.7 64.2 28.6 32.2 17.2 2.4 12.4 5.0 0.9 3.6 164.6 091 Helsinki-Helsingfors 49.4 20.6 27.2 57.4 28.0 25.8 28.1 5.6 19.4 13.2 2.0 9.3 148.0 092 Vantaa-Vanda 38.2 15.4 21.4 62.0 28.8 29.4 34.8 7.0 23.9 15.6 2.4 10.5 150.6 149 Ingå-Inkoo 66.1 25.3 38.5 54.5 24.0 27.2 18.6 3.3 12.9 7.2 1.4 4.8 146.5 235 Kauniainen-Grankulla 59.2 22.2 34.8 58.3 27.3 27.4 26.3 5.1 17.9 10.8 1.9 7.0 154.6 257 Kirkkonummi-Kyrkslätt 59.5 22.2 35.1 53.0 24.0 25.7 19.6 3.6 13.6 7.6 1.4 5.1 139.7 322 Kemiönsaari 82.1 31.6 48.1 46.9 20.2 24.2 12.7 1.8 9.2 4.3 0.7 3.0 145.9 407 Lapinjärvi-Lappträsk 50.4 20.1 28.5 85.7 37.6 43.4 25.2 4.7 17.6 6.8 1.7 4.1 168.1 424 Liljendal 52.4 20.7 29.8 80.9 35.5 41.0 23.3 4.6 16.0 6.2 1.5 3.7 162.8 434 Loviisa-Lovisa 68.2 26.2 39.6 78.9 36.2 38.5 20.3 3.8 14.3 5.2 1.0 3.5 172.5 444 Länsi-Turunmaa 78.5 29.0 47.1 38.8 15.3 21.2 13.9 1.7 10.1 6.5 1.2 4.5 137.7 585 Pernå-Pernaja 56.6 22.0 32.6 77.9 35.0 38.7 23.1 4.4 16.1 6.8 1.5 4.3 164.3 638 Porvoo-Borgå 57.8 22.4 33.4 77.2 34.6 38.3 23.3 4.6 16.2 7.8 1.7 5.0 166.2 701 Ruotsinpyhtää-Strömfors 53.6 20.7 30.9 73.7 31.7 37.6 26.2 4.7 18.5 6.7 1.6 4.2 160.2 710 Raasepori 75.1 29.6 43.2 63.6 28.9 31.5 17.7 2.7 12.7 5.8 1.1 3.9 162.2 753 Sipoo-Sibbo 51.4 20.8 28.8 86.2 41.9 39.9 26.9 5.5 18.6 10.8 2.0 7.1 175.2 755 Siuntio-Sjundeå 47.9 18.5 27.6 54.8 23.9 27.5 22.1 3.8 15.3 9.1 1.8 5.6 133.9 Total 64.6 25.0 37.5 63.2 28.2 31.5 20.4 3.6 14.4 7.2 1.4 4.8 155.5 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 28.7 6.1 20.8 28.9 9.4 17.0 25.5 0.9 18.9 4.5 0.6 2.4 87.6 280 Korsnäs 39.3 9.7 27.4 42.7 13.1 26.2 26.8 1.1 19.3 4.9 0.5 3.6 113.7 287 Kristinestad-Kristiinankaupunki 54.7 12.9 38.6 37.2 14.6 19.9 15.4 0.8 11.2 2.6 0.2 1.8 109.8 288 Kronoby-Kruunupyy 57.4 11.2 42.5 24.0 7.6 14.2 21.2 0.7 16.6 2.9 0.3 2.0 105.4 440 Larsmo-Luoto 48.8 8.3 36.8 27.5 9.4 15.7 20.8 0.7 15.4 5.6 0.9 3.8 102.7 475 Malax-Maalahti 40.3 9.4 28.5 40.6 12.4 24.9 27.1 1.1 19.6 5.2 0.4 3.8 113.2 499 Korsholm-Mustasaari 38.3 7.8 28.5 52.0 18.1 30.2 28.7 1.0 21.6 6.8 0.3 5.3 125.8 545 Närpes-Närpiö 49.9 11.6 35.4 38.1 13.3 21.8 18.3 0.8 13.1 2.2 0.3 1.4 108.4 559 Oravais-Oravainen 41.5 8.0 31.0 31.8 9.4 19.3 27.3 1.1 20.2 4.2 0.5 2.8 104.9 598 Jakobstad-Pietarsaari 45.1 8.2 33.8 24.4 6.6 15.3 25.0 0.8 19.3 3.6 0.4 2.5 98.2 599 Pedersöre-Pedersören kunta 55.4 10.2 41.5 24.5 7.3 14.9 22.8 0.7 17.9 2.6 0.3 1.8 105.3 893 Nykarleby-Uusikaarlepyy 54.6 10.8 40.6 28.9 8.7 17.5 24.2 1.0 18.3 3.2 0.4 2.1 110.9 905 Vaasa-Vasa 35.5 7.9 25.9 62.9 22.4 36.6 30.1 1.2 22.7 7.2 0.3 5.5 135.8 945 Vörå-Maxmo Vöyri-Maksamaa 39.2 8.3 28.6 40.2 13.0 23.9 27.4 1.2 20.0 5.1 0.4 3.7 111.9 Total 48.2 10.1 35.1 36.2 12.1 21.2 23.2 0.9 17.4 3.9 0.4 2.8 111.5 Lounais-Suomi 019 Aura 67.8 26.7 38.9 51.7 22.3 26.4 17.7 2.2 12.5 7.1 1.2 5.0 144.2 050 Eura 65.6 25.5 38.0 49.0 19.3 26.1 19.8 1.9 14.4 5.5 0.7 4.4 139.9 051 Eurajoki 55.7 19.2 34.8 54.2 21.4 28.6 21.3 1.6 15.2 4.3 0.4 3.1 135.5 079 Harjavalta 54.9 18.0 35.0 54.0 21.9 28.1 22.9 2.0 16.6 3.3 0.2 2.6 135.1 099 Honkajoki 65.5 16.4 45.4 11.6 4.4 6.3 12.7 0.8 9.3 1.4 0.1 0.8 91.2 102 Huittinen 53.3 18.6 32.8 60.6 26.6 30.4 23.3 2.6 16.4 4.1 0.6 3.0 141.2 181 Jämijärvi 54.7 16.8 35.0 34.1 15.4 16.2 18.1 1.4 13.4 3.7 0.3 2.5 110.5 202 Kaarina 68.5 25.8 40.4 43.8 17.7 23.3 17.6 2.0 12.6 8.8 1.6 6.2 138.7 214 Kankaanpää 59.5 16.9 39.4 26.8 12.4 12.6 15.1 1.0 11.2 3.1 0.3 2.1 104.5 230 Karvia 68.9 17.3 47.6 12.1 4.3 6.9 12.0 0.8 8.7 1.4 0.1 0.8 94.5 254 Kiikoinen 55.0 19.0 33.7 54.4 24.5 26.7 18.5 1.7 13.7 2.5 0.2 1.9 130.5 271 Kokemäki 56.2 18.8 35.1 49.7 21.9 24.7 21.3 2.1 15.4 3.8 0.2 3.1 131.0 284 Koski T.l. 62.4 28.2 32.4 65.1 31.4 30.9 25.2 2.7 18.1 5.5 1.3 3.4 158.1 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 187 Table 7a. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 304 Kustavi 73.0 25.6 45.0 26.3 9.3 15.1 11.2 1.3 8.1 5.4 0.9 3.8 115.8 319 Köyliö 81.2 31.8 47.1 40.1 17.7 19.9 14.8 1.3 10.4 3.2 0.3 2.6 139.3 400 Laitila 68.8 25.9 40.8 39.7 14.7 21.9 16.1 1.8 11.8 4.4 0.7 3.4 129.0 413 Lavia 63.3 22.0 38.9 49.2 22.3 24.0 17.8 1.7 13.4 2.9 0.2 2.1 133.3 423 Lieto 77.4 30.4 44.7 50.8 21.8 26.1 16.2 2.1 11.6 6.2 1.0 4.5 150.5 430 Loimaa 61.2 26.6 32.8 65.2 32.0 30.2 21.1 2.4 15.3 5.2 1.4 3.3 152.7 442 Luvia 72.9 23.6 47.3 57.0 22.0 31.4 26.9 2.1 21.1 5.5 0.8 4.1 162.3 480 Marttila 65.6 25.0 38.3 53.4 23.0 27.3 19.7 2.4 14.1 6.8 1.4 4.7 145.4 481 Masku 70.9 26.1 42.4 38.8 15.4 20.9 15.1 1.7 10.9 6.5 1.1 4.7 131.4 484 Merikarvia 55.6 16.2 36.6 47.1 22.2 22.1 16.9 1.0 12.6 4.9 0.4 3.5 124.5 503 Mynämäki 72.9 26.5 43.8 42.7 16.7 23.2 17.7 2.1 12.9 5.3 1.0 3.7 138.6 529 Naantali 79.4 28.6 48.3 33.5 12.9 18.5 12.2 1.4 8.8 6.0 1.0 4.2 131.1 531 Nakkila 55.6 17.0 36.5 58.7 23.4 31.2 24.7 2.0 18.3 4.7 0.6 3.5 143.7 537 Noormarkku 56.2 19.8 34.3 60.3 27.3 29.6 21.2 2.0 15.6 4.2 0.6 3.0 141.8 538 Nousiainen 76.3 28.9 45.0 48.3 20.4 25.2 15.8 2.0 11.5 5.0 0.9 3.5 145.5 561 Oripää 70.4 26.3 41.8 48.0 20.5 24.8 17.7 2.2 12.7 4.9 0.9 3.5 141.0 577 Paimio 76.9 29.6 45.0 49.3 21.1 25.4 15.9 2.0 11.4 6.3 1.1 4.5 148.4 608 Pomarkku 57.8 21.3 34.3 68.2 34.0 31.0 19.0 2.0 13.8 3.5 0.3 2.6 148.6 609 Pori 60.6 21.6 37.3 57.4 23.2 30.7 25.2 2.5 18.9 5.9 0.9 4.1 149.2 631 Pyhäranta 67.7 25.4 40.5 48.9 18.4 27.3 19.5 2.3 14.8 6.5 0.4 5.3 142.7 636 Pöytyä 73.3 27.3 43.4 50.0 20.9 26.1 18.4 2.3 13.4 5.4 1.1 3.7 147.0 680 Raisio 70.5 26.1 42.1 37.3 14.8 20.0 16.0 1.8 11.4 8.1 1.2 5.8 131.8 684 Rauma 66.7 25.4 39.3 45.7 18.5 24.2 17.8 1.6 13.4 5.8 0.4 4.5 136.0 704 Rusko 76.2 28.6 45.1 48.9 20.2 25.8 17.5 2.2 12.7 5.7 1.0 4.0 148.3 734 Salo 72.5 28.5 41.8 58.7 26.4 29.2 17.9 2.4 12.9 6.3 1.3 4.4 155.4 738 Sauvo 74.6 27.9 44.4 44.8 18.3 23.9 15.4 1.9 11.1 6.2 1.2 4.3 141.0 747 Siikainen 59.1 16.8 39.4 41.0 19.6 18.9 17.5 1.1 13.0 4.4 0.4 3.1 122.0 761 Somero 53.5 21.3 30.3 67.7 32.1 32.0 21.9 2.8 15.3 4.4 0.8 2.9 147.4 783 Säkylä 71.6 28.6 40.9 37.7 16.4 19.0 14.7 1.5 10.6 4.8 0.9 3.6 128.8 833 Taivassalo 72.6 25.4 44.7 29.0 10.7 16.3 12.1 1.3 8.7 5.8 0.9 4.1 119.5 838 Tarvasjoki 70.1 27.1 40.8 54.4 23.2 28.1 18.4 2.3 13.2 7.7 1.5 5.4 150.7 853 Turku-Åbo 66.9 25.0 39.7 41.4 16.7 21.9 18.3 2.1 13.0 9.0 1.4 6.5 135.6 886 Ulvila 54.9 18.2 34.4 57.9 24.8 29.3 22.4 2.2 16.3 3.9 0.4 2.9 139.0 895 Uusikaupunki 71.5 25.5 43.5 32.7 12.2 18.2 14.8 1.6 10.6 5.9 1.0 4.2 124.9 918 Vehmaa 67.4 24.0 40.9 30.8 11.5 17.1 13.9 1.5 10.0 5.7 0.9 4.1 117.9 Total 65.0 23.1 39.5 47.5 20.5 24.0 18.3 1.9 13.3 4.8 0.7 3.5 135.6 Häme-Uusimaa 015 Artjärvi 43.2 17.2 24.4 82.2 37.9 40.1 22.9 4.1 15.7 8.2 1.7 4.9 156.6 016 Asikkala 44.1 19.6 22.9 78.2 38.8 35.5 25.4 4.5 17.7 8.1 1.1 5.4 155.8 018 Askola 41.8 17.1 23.1 85.6 38.7 42.5 25.2 5.1 17.1 8.8 2.1 5.2 161.3 061 Forssa 39.2 19.1 18.8 91.2 47.3 40.1 23.2 3.3 16.7 5.3 0.8 3.6 158.9 081 Hartola 41.7 21.1 19.4 80.6 41.8 35.5 26.4 4.6 18.6 7.0 0.7 4.8 155.7 082 Hattula 44.8 19.3 24.0 62.4 28.1 30.5 24.5 4.2 17.1 8.1 1.4 5.1 139.8 086 Hausjärvi 41.6 19.6 20.4 75.6 35.4 36.7 18.7 2.8 12.8 5.7 0.7 3.7 141.7 098 Hollola 37.8 18.0 18.5 83.5 42.2 37.5 20.5 2.8 14.5 7.4 1.0 4.8 149.1 103 Humppila 51.0 22.5 27.0 93.2 48.1 41.8 18.9 1.8 14.0 5.9 1.0 3.9 169.1 106 Hyvinkää 41.1 18.2 21.2 76.2 36.3 36.3 20.9 3.4 14.5 6.4 0.9 4.2 144.5 109 Hämeenlinna 42.6 19.6 21.5 82.9 40.3 38.5 22.1 3.6 15.5 5.8 1.0 3.8 153.3 111 Heinola 58.4 28.3 28.1 60.6 31.2 26.6 25.2 4.7 17.2 7.0 1.0 4.5 151.2 165 Janakkala 42.0 19.4 21.1 79.1 38.2 37.1 21.4 3.7 14.8 7.1 1.2 4.7 149.7 169 Jokioinen 32.8 13.4 18.2 86.2 43.7 39.2 19.3 2.1 14.1 6.3 0.5 4.7 144.6 186 Järvenpää 30.3 12.5 16.5 62.0 28.0 30.2 28.2 5.1 19.6 14.7 2.1 9.5 135.2 223 Karjalohja 49.0 18.0 28.9 47.9 20.6 24.2 25.6 4.1 17.8 9.6 1.8 6.1 132.0 224 Karkkila 51.6 20.4 29.3 73.9 34.0 35.8 24.0 4.4 16.5 8.3 1.8 5.0 157.8 245 Kerava 37.8 15.2 21.1 58.4 26.1 28.5 31.2 6.0 21.6 14.9 2.5 9.7 142.2 283 Hämeenkoski 30.9 14.8 15.0 88.2 42.8 41.3 21.1 2.7 14.8 7.0 1.0 4.5 147.1 316 Kärkölä 31.1 13.7 16.1 81.9 38.6 39.5 19.9 2.7 13.4 6.1 0.8 3.9 138.9 398 Lahti 38.3 16.3 20.7 67.8 35.9 28.6 21.5 3.0 14.9 9.2 1.0 5.9 136.8 433 Loppi 47.2 20.5 25.1 70.3 33.8 32.9 20.4 3.7 14.0 6.5 1.1 4.1 144.4 444 Lohja 43.4 16.5 25.2 50.4 22.1 25.2 24.0 3.9 16.4 10.6 1.8 6.5 128.4 504 Myrskylä-Mörskom 43.4 17.6 24.3 82.5 35.7 42.2 26.8 5.0 18.5 8.8 2.1 5.1 161.5 505 Mäntsälä 35.6 16.1 18.0 92.2 44.0 44.3 19.9 3.1 13.6 5.6 0.8 3.6 153.3 532 Nastola 47.9 21.3 24.9 66.3 32.8 30.3 24.7 4.0 17.3 8.6 1.1 5.6 147.6 540 Nummi-Pusula 53.7 20.3 31.4 54.6 23.8 27.5 23.4 3.8 16.3 8.1 1.6 5.0 139.8 543 Nurmijärvi 36.0 14.4 20.1 57.4 25.9 27.9 25.6 4.4 17.5 12.1 1.9 7.4 131.0 560 Orimattila 40.1 18.1 20.5 71.3 34.8 32.9 18.6 2.7 12.8 6.3 0.9 4.0 136.2 576 Padasjoki 49.2 22.0 25.6 81.6 38.9 38.5 22.4 4.2 15.5 6.8 1.3 4.3 159.9 611 Pornainen 42.6 16.8 24.2 77.0 34.3 38.4 27.8 5.2 19.3 11.2 2.4 6.9 158.6 616 Pukkila 37.4 15.1 20.9 77.7 33.6 39.8 27.5 4.9 19.1 10.6 2.4 6.2 153.3 694 Riihimäki 32.8 14.7 16.7 74.2 36.6 34.2 21.1 3.5 14.4 8.2 1.2 5.3 136.3 781 Sysmä 47.3 26.8 19.1 78.1 42.2 33.0 27.2 5.4 18.9 9.2 1.1 6.5 161.8 834 Tammela 55.8 22.4 31.4 75.4 36.6 34.7 25.5 4.0 18.2 3.2 0.6 2.2 159.9 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 188 Table 7a. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 858 Tuusula 33.2 13.6 18.4 69.4 31.6 33.8 30.2 5.4 20.9 14.5 2.4 9.4 147.3 927 Vihti 49.8 19.3 28.7 66.8 30.0 32.9 24.7 4.5 17.1 9.6 1.9 5.9 150.9 981 Ypäjä 41.9 17.2 23.4 93.8 47.6 42.7 20.5 2.0 15.2 6.2 0.8 4.5 162.4 Total 44.6 20.0 23.0 75.5 36.7 35.1 23.3 3.9 16.2 7.3 1.2 4.7 150.6 Kaakkois-Suomi 075 Hamina 62.6 23.4 36.6 48.4 22.3 23.5 16.7 1.9 12.2 3.9 0.6 2.7 131.5 142 Iitti 49.8 22.6 25.5 76.2 39.7 33.1 24.8 4.5 17.3 6.7 1.0 4.3 157.4 153 Imatra 50.2 21.8 27.1 70.0 33.0 34.0 22.9 3.3 16.8 6.6 0.6 4.4 149.7 285 Kotka 58.9 23.8 32.8 39.1 16.6 20.0 16.6 2.0 12.1 4.1 0.4 2.8 118.8 286 Kouvola 67.8 29.8 35.4 56.8 28.5 25.4 20.3 3.2 14.1 4.8 0.7 3.1 149.7 405 Lappeenranta 57.7 23.4 32.2 54.2 26.4 25.2 18.3 2.3 13.3 4.9 0.6 3.3 135.1 416 Lemi 60.3 24.7 33.2 49.0 23.3 23.3 18.6 2.6 13.1 4.2 0.4 2.8 132.1 441 Luumäki 65.2 25.0 37.5 49.8 24.0 23.1 17.8 2.0 13.0 3.6 0.6 2.5 136.3 489 Miehikkälä 61.9 21.1 38.2 55.3 25.6 26.9 16.8 1.7 12.5 3.7 0.7 2.6 137.7 580 Parikkala 49.9 19.9 28.3 57.8 25.5 29.6 24.7 3.0 18.4 6.6 0.5 4.5 139.0 624 Pyhtää-Pyttis 59.9 23.4 34.2 68.3 29.1 35.1 27.1 4.6 19.2 7.0 1.7 4.4 162.3 689 Rautjärvi 47.6 19.9 26.3 67.2 29.8 34.1 25.5 3.3 18.9 7.1 0.6 4.8 147.4 700 Ruokolahti 71.9 31.0 38.4 45.4 21.0 22.1 20.5 2.7 14.9 4.5 0.4 3.0 142.2 739 Savitaipale 74.3 30.4 40.8 33.9 14.8 17.1 17.9 2.5 12.5 3.2 0.3 2.0 129.3 775 Suomenniemi 84.0 35.2 45.3 34.4 14.8 17.5 17.5 2.7 12.1 3.6 0.3 2.3 139.5 831 Taipalsaari 80.3 33.1 43.8 30.7 12.8 16.3 19.1 3.1 13.3 3.5 0.3 2.1 133.5 935 Virolahti 59.8 20.5 36.8 53.6 23.4 27.5 15.6 1.6 11.5 3.5 0.6 2.5 132.6 978 Ylämaa 64.1 23.0 38.6 57.4 27.7 26.7 17.6 1.8 13.1 3.8 0.7 2.6 142.7 Total 64.1 26.3 35.4 52.7 25.0 25.0 19.8 2.7 14.2 4.7 0.6 3.1 141.2 Pirkanmaa 020 Akaa 35.5 16.9 17.4 67.7 31.3 32.4 27.0 3.9 18.9 6.2 1.0 4.1 136.4 108 Hämeenkyrö 43.2 16.3 25.2 61.8 28.5 29.6 28.0 3.5 20.3 6.1 0.9 4.1 139.0 143 Ikaalinen 56.0 19.3 34.4 47.2 21.9 22.4 19.6 2.1 14.1 3.9 0.5 2.7 126.7 177 Juupajoki 50.5 21.3 27.5 67.7 34.3 30.0 20.6 2.7 14.9 4.3 0.6 2.8 143.1 211 Kangasala 42.3 19.9 21.2 67.1 32.7 30.5 26.2 4.5 18.8 6.6 1.0 4.6 142.1 250 Kihniö 75.1 19.6 51.7 22.3 8.1 12.2 17.1 1.1 12.4 2.1 0.3 1.3 116.6 289 Kuhmalahti 43.7 19.1 23.0 65.5 29.6 32.1 21.6 3.8 14.8 6.7 1.2 4.2 137.5 310 Kylmäkoski 42.5 19.6 21.5 77.3 37.1 36.4 23.4 3.6 16.6 5.1 0.9 3.6 148.3 418 Lempäälä 32.1 14.5 16.7 78.7 39.4 34.9 28.1 5.9 19.3 8.3 1.1 6.1 147.2 508 Mänttä-Vilppula 51.5 20.4 29.3 73.0 36.7 32.6 23.7 3.2 17.1 6.1 0.7 4.2 154.3 536 Nokia 40.3 19.3 20.0 67.6 32.5 31.5 27.5 5.0 19.3 7.1 1.4 4.8 142.5 562 Orivesi 48.6 20.8 26.1 73.0 36.9 32.5 22.5 3.2 16.2 4.9 0.7 3.3 149.0 581 Parkano 68.5 19.0 46.1 24.8 10.0 12.7 15.6 1.0 11.4 2.4 0.3 1.6 111.3 604 Pirkkala 29.0 12.9 15.3 75.7 37.3 34.3 29.0 6.4 19.9 9.8 1.3 7.1 143.3 619 Punkalaidun 60.9 29.4 29.7 73.3 36.9 33.1 20.7 2.0 14.9 5.1 1.3 3.2 160.0 635 Pälkäne 38.6 18.1 19.3 90.7 43.9 42.6 23.5 4.5 16.3 8.3 1.4 5.6 161.1 702 Ruovesi 56.8 22.3 32.5 70.1 35.3 31.4 20.2 2.7 14.6 4.6 0.6 3.2 151.7 790 Sastamala 53.3 18.2 32.9 59.7 28.1 28.1 21.9 2.9 15.5 3.8 0.4 2.7 138.6 837 Tampere 47.7 20.5 25.6 75.5 37.6 34.1 25.2 4.0 18.2 5.6 0.8 3.8 154.0 887 Urjala 49.1 22.6 25.0 80.1 39.9 36.8 23.1 2.6 16.8 6.0 1.3 3.9 158.2 908 Valkeakoski 37.2 17.9 18.1 75.4 36.1 35.1 29.2 5.8 20.2 8.8 1.7 5.9 150.5 922 Vesilahti 42.8 22.0 19.6 78.5 40.9 33.8 22.4 4.2 15.5 4.7 1.0 3.1 148.4 936 Virrat 68.8 20.9 44.5 37.5 15.8 19.2 15.7 1.2 11.5 2.5 0.4 1.6 124.5 980 Ylöjärvi 60.4 22.0 36.1 57.3 27.0 27.1 20.7 2.5 15.0 4.0 0.5 2.7 142.4 Total 54.0 20.1 31.7 60.2 28.9 28.0 21.4 2.9 15.4 4.7 0.7 3.2 140.3 Etelä-Savo 046 Enonkoski 52.3 23.2 27.6 63.0 28.6 31.2 20.9 2.6 15.5 6.6 0.6 4.4 142.9 090 Heinävesi 48.3 18.6 28.2 62.6 28.4 30.7 20.8 2.6 15.6 5.7 0.3 3.8 137.4 097 Hirvensalmi 56.7 29.1 25.8 58.0 28.3 27.0 29.5 5.8 20.0 9.8 1.3 6.3 154.0 171 Joroinen 53.5 21.5 30.0 57.2 30.5 23.8 19.7 2.2 13.8 4.5 0.5 2.7 135.0 178 Juva 63.3 27.8 33.1 53.9 26.9 24.0 20.0 2.9 13.7 4.7 0.6 3.0 141.9 213 Kangasniemi 53.3 23.9 27.2 51.6 26.7 22.2 20.4 3.1 13.6 5.4 0.6 3.4 130.7 246 Kerimäki 53.3 23.0 28.4 58.2 26.6 28.8 23.6 2.8 17.3 5.7 0.5 3.8 140.8 491 Mikkeli 57.5 26.7 28.6 52.5 25.8 23.8 23.4 3.7 16.0 6.3 0.8 4.0 139.7 507 Mäntyharju 75.6 33.4 39.2 42.6 19.6 20.7 21.7 3.5 14.9 5.2 0.6 3.4 145.1 588 Pertunmaa 46.5 22.6 22.4 63.3 30.6 29.4 29.3 5.4 19.9 8.3 1.0 5.3 147.5 593 Pieksämäki 55.2 21.5 31.3 48.8 24.7 21.1 19.9 2.5 14.0 4.4 0.4 2.7 128.3 618 Punkaharju 62.9 27.2 33.7 60.0 28.3 29.1 22.4 2.8 16.4 5.1 0.4 3.4 150.3 623 Puumala 86.5 35.1 48.1 26.9 11.5 14.1 19.4 2.6 14.1 3.5 0.2 2.1 136.3 681 Rantasalmi 51.9 21.7 28.4 52.4 23.2 26.2 22.0 2.6 16.2 6.8 0.6 4.6 133.0 696 Ristiina 71.5 33.2 35.7 48.5 23.2 22.8 23.2 3.8 16.1 5.9 0.7 3.8 149.1 740 Savonlinna 62.1 27.2 32.9 54.5 24.5 27.2 21.8 2.8 15.9 5.5 0.4 3.7 143.9 768 Sulkava 70.3 30.8 37.0 39.1 17.5 19.4 20.4 2.6 14.7 4.4 0.3 2.8 134.2 Total 60.4 26.2 32.0 51.5 24.6 24.1 21.7 3.1 15.3 5.5 0.6 3.5 139.1 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 189 Table 7a. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha Etelä-Pohjanmaa 005 Alajärvi 73.2 19.2 50.0 14.5 5.4 7.9 13.7 0.9 10.0 1.7 0.2 1.1 103.1 010 Alavus 70.6 20.0 46.6 16.3 5.9 9.3 13.5 1.0 9.8 1.5 0.2 0.9 102.0 052 Evijärvi 54.9 10.3 40.6 16.7 5.2 9.8 19.8 0.8 15.2 3.2 0.4 2.2 94.7 074 Halsua 67.2 14.8 47.1 7.1 2.9 3.6 14.7 0.6 11.2 1.7 0.1 1.4 90.8 095 Himanka 61.8 12.4 45.2 18.9 6.2 11.0 16.7 0.4 13.2 2.5 0.3 1.7 99.8 145 Ilmajoki 56.8 14.3 39.0 27.8 10.5 15.1 14.8 1.0 10.7 1.8 0.2 1.1 101.2 151 Isojoki 63.0 14.5 44.6 24.7 10.2 12.7 13.4 0.8 9.9 1.6 0.1 1.1 102.8 152 Isokyrö 45.4 9.6 32.6 26.8 8.1 16.0 21.5 0.9 15.4 3.5 0.5 2.3 97.1 164 Jalasjärvi 65.5 17.5 44.3 16.8 6.0 9.5 13.0 1.0 9.2 1.9 0.3 1.1 97.1 217 Kannus 57.6 11.1 42.3 14.0 4.4 8.2 18.3 0.5 14.4 1.5 0.1 1.1 91.5 218 Karijoki 60.4 12.0 44.4 31.1 11.9 17.1 12.9 0.6 9.3 1.3 0.1 0.8 105.7 232 Kauhajoki 62.4 12.4 45.7 16.2 5.9 9.2 9.7 0.6 7.0 0.8 0.1 0.5 89.0 233 Kauhava 61.6 12.1 45.1 15.0 4.5 8.8 16.5 0.6 12.5 3.6 0.5 2.6 96.7 236 Kaustinen 60.7 11.7 44.7 14.8 4.4 8.9 17.1 0.5 13.4 2.2 0.2 1.6 94.9 272 Kokkola-Karleby 58.2 11.3 42.8 18.8 6.2 10.9 17.3 0.6 13.4 2.6 0.3 1.8 96.9 300 Kuortane 75.6 22.1 49.7 15.4 6.0 8.2 14.1 0.9 10.1 1.5 0.2 0.8 106.5 301 Kurikka 54.8 12.3 38.8 26.9 9.8 14.9 14.5 0.8 10.4 1.8 0.2 1.1 97.9 399 Laihia 49.2 11.1 35.0 33.7 10.8 19.9 22.8 1.0 16.7 3.6 0.6 2.4 109.3 403 Lappajärvi 65.6 13.9 47.5 16.1 5.0 9.4 17.9 0.8 13.7 3.6 0.4 2.7 103.2 408 Lapua 63.7 13.4 46.3 20.1 6.5 11.7 18.4 0.8 14.1 3.0 0.3 2.2 105.2 421 Lestijärvi 55.3 10.7 40.7 15.6 5.2 9.1 16.9 0.5 12.8 2.6 0.2 1.9 90.4 584 Perho 66.1 13.8 47.7 13.7 4.8 7.7 14.3 0.5 10.9 1.9 0.1 1.3 95.9 743 Seinäjoki 58.1 14.7 39.9 17.6 6.1 9.9 16.2 1.1 11.7 2.4 0.2 1.5 94.2 759 Soini 71.2 18.8 48.7 18.7 7.4 9.9 14.3 1.0 10.6 2.1 0.2 1.5 106.3 846 Teuva 56.6 10.9 41.7 27.7 10.5 15.2 13.1 0.6 9.2 1.6 0.2 1.0 99.1 849 Toholampi 57.0 12.1 40.8 15.9 5.4 9.1 16.4 0.6 12.7 1.9 0.1 1.5 91.3 863 Töysä 79.3 24.5 51.0 18.3 7.4 9.4 12.2 0.8 8.6 1.3 0.1 0.8 111.1 924 Veteli 62.6 12.0 46.3 15.8 5.1 9.3 17.1 0.6 13.4 2.4 0.2 1.7 97.9 934 Vimpeli 63.5 13.1 46.1 17.0 5.9 9.8 17.8 0.6 13.9 2.6 0.2 1.9 101.0 942 Vähäkyrö 33.2 8.0 23.2 33.2 10.1 20.4 27.3 1.2 19.3 6.1 0.4 4.4 99.8 989 Ähtäri 72.2 20.6 48.2 24.4 9.9 12.8 15.6 1.4 11.3 2.4 0.3 1.6 114.7 Total 62.6 14.4 44.2 18.9 6.7 10.6 15.5 0.8 11.5 2.2 0.2 1.5 99.1 Keski-Suomi 077 Hankasalmi 44.6 17.5 25.1 53.6 29.4 21.5 22.5 2.7 15.6 4.4 0.4 2.8 125.2 172 Joutsa 51.8 24.4 25.7 62.3 31.3 28.0 25.9 4.6 18.0 6.7 0.7 4.5 146.8 179 Jyväskylä 44.6 19.2 23.7 60.1 32.1 25.0 21.4 2.9 15.4 5.4 0.6 3.5 131.6 182 Jämsä 51.1 19.5 29.4 51.2 26.7 21.7 17.5 2.1 12.4 4.0 0.4 2.6 123.7 216 Kannonkoski 66.3 20.0 43.6 34.8 15.2 17.5 17.7 1.4 13.2 3.2 0.2 2.3 121.9 226 Karstula 67.7 17.7 46.5 25.6 10.4 13.4 18.4 1.2 14.0 2.4 0.1 1.7 114.1 249 Keuruu 65.3 22.0 40.7 44.1 20.0 21.4 18.5 1.9 13.3 3.5 0.5 2.3 131.2 256 Kinnula 61.9 13.8 44.2 21.4 7.9 11.9 17.9 0.8 13.7 2.5 0.2 1.8 103.7 265 Kivijärvi 67.5 18.8 45.5 27.6 11.8 13.9 16.1 1.1 12.2 2.4 0.2 1.7 113.6 275 Konnevesi 46.6 18.4 26.3 58.2 31.7 23.6 21.9 2.4 16.1 4.5 0.4 2.6 131.2 291 Kuhmoinen 47.7 20.6 25.3 66.5 35.8 27.5 18.0 2.5 12.9 4.8 0.6 3.2 136.9 312 Kyyjärvi 68.4 16.2 48.4 17.1 6.4 9.3 16.9 0.9 13.0 2.1 0.1 1.5 104.5 410 Laukaa 47.1 18.7 26.3 48.9 26.2 20.2 19.4 2.6 13.3 4.2 0.4 2.6 119.6 435 Luhanka 44.6 24.2 18.9 70.2 37.7 29.7 26.6 4.4 19.6 8.8 0.9 5.8 150.2 495 Multia 67.3 19.5 44.8 31.8 14.5 15.4 16.9 1.2 12.6 2.5 0.2 1.7 118.5 500 Muurame 38.7 17.2 20.1 71.9 38.5 29.9 22.0 3.1 16.2 6.2 0.8 3.9 138.7 592 Petäjävesi 51.9 17.0 32.6 44.9 23.1 19.4 17.1 1.7 12.3 3.2 0.3 1.9 117.1 601 Pihtipudas 53.2 10.1 40.1 28.3 8.9 17.1 19.2 0.9 14.7 3.5 0.3 2.2 104.2 729 Saarijärvi 62.2 18.8 40.7 36.5 16.5 17.8 20.0 1.5 14.9 3.1 0.2 2.1 121.7 850 Toivakka 51.7 22.2 27.5 46.5 23.5 20.4 21.7 3.3 15.1 5.5 0.6 3.5 125.4 892 Uurainen 54.6 17.9 34.2 41.1 21.2 17.6 16.9 1.7 12.2 2.8 0.2 1.7 115.4 931 Viitasaari 54.6 15.9 36.0 37.3 15.7 19.2 17.8 1.8 12.7 4.2 0.4 2.6 113.9 992 Äänekoski 54.0 20.6 31.3 52.2 27.0 22.4 18.8 2.3 13.6 3.9 0.4 2.2 128.8 Total 55.7 18.6 34.6 44.0 21.4 20.1 19.2 2.0 14.0 3.9 0.4 2.5 122.9 Pohjois-Savo 140 Iisalmi 29.9 8.0 20.4 47.7 21.7 23.1 24.2 2.3 18.2 5.8 0.5 3.3 107.7 174 Juankoski 40.5 13.0 25.7 51.8 25.5 23.5 20.5 2.2 15.0 5.6 0.4 3.3 118.5 204 Kaavi 54.1 16.9 34.7 45.0 20.6 21.8 17.6 1.6 12.5 3.3 0.2 2.0 119.9 227 Karttula 46.1 18.0 26.2 55.8 28.8 23.8 22.3 2.8 16.0 5.3 0.5 3.3 129.5 239 Keitele 49.3 15.4 31.5 45.8 21.8 21.3 19.9 2.0 14.1 3.0 0.2 1.8 118.0 263 Kiuruvesi 38.3 9.8 26.7 33.2 11.8 18.6 24.0 1.4 18.5 4.7 0.3 2.9 100.2 297 Kuopio 38.5 15.2 21.9 69.5 37.8 28.9 23.2 3.6 16.8 8.9 0.7 5.1 140.1 402 Lapinlahti 32.7 8.8 22.3 52.7 24.4 25.3 24.7 2.4 18.7 5.2 0.4 2.9 115.3 420 Leppävirta 41.3 16.2 23.7 72.7 38.1 31.2 24.2 3.4 17.8 6.6 0.4 3.9 144.8 476 Maaninka 32.0 10.1 20.5 60.4 29.6 27.6 23.9 2.7 17.8 5.6 0.5 3.3 121.9 534 Nilsiä 36.9 11.7 23.5 57.3 28.6 25.9 20.8 2.3 15.4 5.4 0.4 3.1 120.4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 190 Table 7a. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 595 Pielavesi 43.7 13.1 28.5 47.3 20.1 24.0 23.7 2.3 17.7 4.5 0.4 2.7 119.2 686 Rautalampi 49.9 20.3 27.5 50.4 24.7 22.7 22.3 3.1 15.9 5.0 0.4 3.1 127.6 687 Rautavaara 59.4 16.2 40.3 30.6 12.2 16.1 16.2 1.1 11.8 2.1 0.1 1.3 108.3 749 Siilinjärvi 27.7 9.2 17.3 62.6 32.8 26.9 21.9 2.4 16.4 6.5 0.4 3.6 118.6 762 Sonkajärvi 51.5 12.9 35.8 27.8 10.8 14.8 18.1 1.1 13.3 2.9 0.2 1.8 100.3 778 Suonenjoki 52.5 20.8 29.5 53.9 28.3 22.6 20.3 2.6 14.3 4.5 0.4 2.7 131.1 844 Tervo 42.1 17.2 23.1 50.3 24.4 22.9 24.8 3.3 17.8 5.6 0.4 3.4 122.7 857 Tuusniemi 36.6 13.6 21.6 66.8 34.1 29.6 23.6 3.2 17.4 7.2 0.4 4.3 134.2 915 Varkaus 48.1 19.9 26.7 68.2 34.8 30.0 25.3 3.7 18.8 6.6 0.4 4.1 148.2 916 Varpaisjärvi 40.1 12.2 26.1 44.1 20.2 21.2 19.9 1.9 14.8 4.7 0.4 2.7 108.8 921 Vesanto 48.1 18.0 28.2 49.8 25.1 22.1 21.0 2.7 15.0 4.4 0.4 2.6 123.3 925 Vieremä 45.7 11.9 31.4 29.6 11.1 16.2 21.2 1.4 15.8 3.7 0.3 2.3 100.2 Total 43.9 14.1 27.8 48.8 23.2 22.7 21.6 2.3 15.9 4.9 0.4 2.9 119.2 Pohjois-Karjala 146 Ilomantsi 70.7 21.9 45.0 21.8 10.0 10.2 14.2 1.3 9.7 2.0 0.1 0.9 108.6 167 Joensuu 55.0 20.7 32.1 43.7 21.9 19.4 19.5 2.7 13.3 3.4 0.2 1.8 121.7 176 Juuka 63.1 21.1 39.2 30.7 13.9 14.7 17.2 1.9 11.8 2.3 0.1 1.2 113.4 248 Kesälahti 63.4 26.8 34.4 39.8 18.4 19.4 21.3 2.5 15.3 4.3 0.2 2.6 128.9 260 Kitee 51.7 21.3 28.4 47.2 23.4 21.5 22.3 2.7 15.8 4.5 0.2 2.6 125.6 276 Kontiolahti 59.4 24.4 32.6 35.5 16.9 16.5 20.0 2.4 14.1 3.6 0.2 2.0 118.5 309 Outokumpu 61.1 24.6 34.1 37.4 16.5 18.5 19.8 2.3 14.7 5.0 0.3 3.1 123.2 422 Lieksa 68.4 23.5 41.3 20.2 8.6 10.0 14.6 1.4 9.9 2.1 0.1 1.0 105.4 426 Liperi 57.9 24.8 31.0 42.9 20.1 20.4 20.4 2.5 15.0 5.1 0.4 3.2 126.3 541 Nurmes 54.4 15.4 36.2 30.0 12.8 15.0 18.6 1.5 12.8 2.4 0.1 1.4 105.4 607 Polvijärvi 63.6 25.2 35.9 27.6 11.6 14.0 20.7 2.3 15.0 3.8 0.3 2.3 115.8 707 Rääkkylä 54.2 23.8 28.5 51.6 25.4 23.7 26.6 2.9 20.2 6.8 0.4 4.3 139.1 848 Tohmajärvi 56.9 20.1 34.5 44.0 21.6 20.1 18.6 2.4 12.7 2.9 0.2 1.6 122.4 911 Valtimo 49.7 12.4 34.6 31.0 11.3 17.1 19.3 1.1 14.3 2.7 0.2 1.7 102.6 Total 61.4 21.4 37.1 31.7 14.6 15.1 17.8 1.9 12.5 3.0 0.2 1.6 113.9 Kainuu 105 Hyrynsalmi 52.1 15.4 33.6 21.7 7.7 12.3 14.7 0.3 10.6 1.5 0.1 0.9 89.9 205 Kajaani 57.7 13.3 41.0 14.3 4.8 8.1 17.4 0.4 12.8 1.8 0.1 1.2 91.2 290 Kuhmo 61.2 20.9 36.6 16.8 5.3 10.0 12.0 0.4 8.1 0.9 0.0 0.5 90.9 578 Paltamo 54.5 15.1 36.6 25.4 10.1 13.5 17.3 0.5 12.8 2.3 0.1 1.5 99.5 620 Puolanka 45.6 9.9 32.8 21.4 7.2 12.4 14.6 0.2 10.6 1.5 0.1 1.1 83.1 697 Ristijärvi 52.4 14.2 35.0 21.7 7.6 12.3 15.3 0.3 10.7 1.4 0.1 0.8 90.8 765 Sotkamo 55.4 14.9 37.4 24.5 8.7 13.7 16.6 0.6 12.0 2.0 0.1 1.3 98.5 777 Suomussalmi 51.1 14.2 33.4 15.9 4.3 10.1 10.3 0.1 7.3 1.2 0.1 0.8 78.4 785 Vaala 55.2 9.9 40.9 7.4 2.0 4.7 14.9 0.1 11.6 0.8 0.1 0.6 78.2 Total 54.4 15.2 35.9 18.4 6.0 10.8 13.7 0.3 9.8 1.4 0.1 0.9 87.8 Pohjois-Pohjanmaa 009 Alavieska 53.0 8.8 40.1 15.7 4.3 9.9 16.0 0.3 12.6 2.6 0.3 1.7 87.3 069 Haapajärvi 51.4 10.1 38.1 25.1 7.9 15.2 21.7 0.8 17.2 3.7 0.3 2.6 102.0 071 Haapavesi 49.9 9.4 37.2 17.6 5.2 10.8 21.8 0.7 17.4 3.0 0.2 2.0 92.3 072 Hailuoto 44.5 10.5 30.7 9.2 2.8 5.5 12.2 0.1 9.5 2.0 0.1 1.4 68.0 084 Haukipudas 56.4 12.7 39.8 15.1 4.7 9.2 13.7 0.1 10.7 1.8 0.2 1.2 86.9 139 Ii 50.9 10.3 37.0 14.8 4.1 9.2 14.1 0.1 10.6 1.5 0.1 1.0 81.3 208 Kalajoki 52.1 7.9 39.8 12.4 3.0 8.0 17.5 0.3 14.0 2.0 0.1 1.4 83.9 244 Kempele 51.8 11.0 36.8 14.0 4.1 8.8 19.1 0.2 15.0 2.3 0.1 1.5 87.2 255 Kiiminki 61.7 13.5 43.7 17.3 5.8 10.1 13.6 0.1 10.7 1.7 0.1 1.3 94.3 305 Kuusamo 47.2 11.3 33.0 19.1 5.0 12.5 9.2 0.1 6.7 0.9 0.0 0.6 76.4 317 Kärsämäki 53.1 9.6 40.0 21.1 6.8 12.6 23.1 0.6 18.3 3.0 0.2 2.1 100.3 425 Liminka 49.3 8.7 36.4 8.1 1.9 5.3 19.3 0.2 15.0 2.0 0.1 1.4 78.7 436 Lumijoki 45.0 9.3 32.2 10.2 2.7 6.5 20.7 0.3 16.2 2.6 0.1 1.8 78.6 483 Merijärvi 47.9 8.4 36.0 17.3 4.4 10.9 17.6 0.4 13.8 2.5 0.3 1.7 85.2 494 Muhos 53.9 10.0 39.4 7.7 2.2 4.8 13.6 0.1 10.5 1.1 0.1 0.8 76.1 535 Nivala 49.8 10.2 36.5 23.3 7.4 14.0 19.7 0.8 15.5 4.0 0.4 2.6 96.8 563 Oulainen 45.4 8.5 33.8 17.5 4.8 10.8 17.6 0.5 14.0 2.9 0.3 2.1 83.5 564 Oulu 62.6 12.9 45.0 13.6 4.0 8.5 13.3 0.1 10.4 1.2 0.1 0.9 90.8 567 Oulunsalo 49.1 11.4 34.4 13.7 3.9 8.5 17.1 0.2 13.3 2.4 0.2 1.4 82.2 615 Pudasjärvi 50.2 8.6 37.9 12.8 3.0 8.6 10.2 0.1 7.4 0.7 0.0 0.5 74.0 625 Pyhäjoki 49.1 7.8 37.1 13.6 3.4 8.7 18.2 0.4 14.6 2.3 0.2 1.6 83.1 626 Pyhäsalmi 48.4 9.7 35.8 25.4 7.7 15.4 22.0 0.8 17.6 3.2 0.2 2.3 99.0 630 Pyhäntä 57.4 10.5 42.4 11.4 3.2 7.1 17.5 0.2 13.5 1.4 0.1 1.0 87.6 678 Raahe 53.8 11.5 38.4 13.3 4.2 8.0 17.4 0.2 13.6 2.3 0.2 1.6 86.8 691 Reisjärvi 53.9 9.3 40.6 20.6 6.5 12.3 20.5 0.7 16.2 3.1 0.2 2.1 98.2 746 Sievi 53.9 8.9 40.8 14.5 4.3 8.8 18.4 0.5 14.6 2.4 0.2 1.6 89.2 748 Siikajoki 50.0 9.4 36.5 8.7 2.3 5.6 17.5 0.2 13.5 1.9 0.1 1.3 78.1 791 Siikalatva 56.1 9.7 41.9 10.2 2.7 6.5 20.2 0.2 15.7 1.7 0.1 1.3 88.1 832 Taivalkoski 48.4 11.2 34.5 20.3 5.8 13.0 9.8 0.1 7.2 1.3 0.0 1.0 79.9 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 191 Table 7a. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 859 Tyrnävä 52.3 9.3 38.5 7.8 2.0 5.0 16.3 0.1 12.6 1.5 0.1 1.1 77.8 889 Utajärvi 58.7 10.5 43.6 7.7 2.0 4.9 12.7 0.1 9.7 0.6 0.0 0.4 79.6 926 Vihanti 51.2 10.3 37.2 13.4 3.8 8.4 18.7 0.3 14.7 2.2 0.1 1.6 85.4 972 Yli-Ii 55.5 10.4 41.0 11.3 2.9 7.3 13.5 0.1 10.0 1.0 0.0 0.7 81.2 977 Ylivieska 50.4 9.8 37.1 17.5 5.0 10.8 19.5 0.6 15.5 3.2 0.3 2.1 90.5 Total 51.5 10.1 37.8 15.3 4.2 9.7 14.8 0.2 11.3 1.6 0.1 1.2 83.2 Lapland 047 Enontekiö 42.5 8.5 32.1 3.4 0.9 2.3 8.8 0.0 4.2 0.2 0.0 0.0 54.9 148 Inari 55.3 9.5 42.8 3.5 1.0 2.4 5.6 0.0 3.1 0.1 0.0 0.0 64.5 240 Kemi 14.8 2.2 10.8 42.7 12.7 25.9 21.5 0.1 16.6 7.0 0.1 5.4 85.9 241 Keminmaa 22.5 3.5 17.1 36.5 8.4 23.8 25.7 0.2 20.7 4.0 0.1 2.9 88.7 261 Kittilä 37.9 7.9 27.9 11.8 3.3 7.5 10.0 0.0 7.4 0.5 0.1 0.2 60.2 273 Kolari 49.7 14.0 32.6 9.5 1.4 6.7 8.9 0.1 6.1 0.7 0.0 0.4 68.8 320 Kemijärvi 49.0 10.1 35.6 8.5 1.6 5.9 8.7 0.1 5.9 0.2 0.0 0.1 66.3 498 Muonio 44.9 9.3 33.5 12.5 3.4 8.2 6.2 0.0 3.8 0.4 0.0 0.3 64.0 583 Pelkosenniemi 35.6 6.4 26.6 12.7 2.4 8.9 13.4 0.1 9.0 0.4 0.0 0.2 62.1 614 Posio 47.4 10.2 34.2 12.6 3.2 8.3 6.2 0.1 4.4 0.5 0.0 0.4 66.7 683 Ranua 43.8 6.9 33.4 10.8 2.0 7.5 9.5 0.1 6.7 0.6 0.0 0.4 64.8 698 Rovaniemi 46.1 9.7 32.9 10.4 2.1 7.0 9.1 0.0 6.4 0.6 0.0 0.4 66.2 732 Salla 34.8 6.1 26.4 16.8 4.2 11.2 9.9 0.0 6.7 0.5 0.0 0.2 61.9 742 Savukoski 39.7 7.9 29.3 10.7 2.7 7.2 6.6 0.0 4.5 0.2 0.0 0.1 57.1 751 Simo 39.9 6.4 30.4 18.1 4.7 11.3 16.0 0.1 11.9 2.0 0.1 1.4 76.0 758 Sodankylä 38.3 7.9 27.9 10.6 2.6 7.1 7.7 0.0 5.4 0.3 0.0 0.1 56.9 845 Tervola 30.4 4.8 23.0 24.9 4.9 17.0 22.4 0.2 17.3 1.9 0.0 1.3 79.7 851 Tornio 19.1 2.9 14.3 36.7 7.4 25.3 25.8 0.1 20.2 4.5 0.0 3.5 86.1 854 Pello 40.5 9.9 27.5 13.3 3.1 8.7 12.3 0.2 8.7 2.0 0.1 1.1 68.1 890 Utsjoki 40.6 1.1 33.6 3.9 0.8 2.9 9.4 0.0 2.8 0.0 0.0 0.0 53.9 976 Ylitornio 35.9 6.7 25.7 13.1 2.0 9.1 12.7 0.0 9.0 0.7 0.0 0.5 62.4 Total 47.0 8.8 35.5 8.2 1.9 5.5 7.9 0.0 5.1 0.4 0.0 0.2 63.5 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 192 Table 7b. The growing stock volume by tree species and roundwood assortment on forest land by forestry centres. Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 Åland 035 Brändö 134 29 96 49 14 30 79 4 49 91 4 74 353 043 Eckerö 460 131 306 197 67 115 147 12 109 78 2 61 882 060 Finström 480 139 317 240 82 139 182 15 134 117 4 92 1 018 062 Föglö 526 129 370 189 60 114 132 8 98 83 3 68 930 065 Geta 254 67 174 94 31 56 63 4 47 32 1 25 443 076 Hammarland 558 156 373 251 84 147 195 16 145 104 3 84 1 107 170 Jomala 547 161 359 264 92 152 190 16 138 120 3 95 1 122 295 Kumlinge 163 32 121 26 7 16 52 2 30 52 3 42 292 318 Kökar 3 1 2 3 1 3 6 0 2 28 0 18 40 417 Lemland 478 135 318 242 81 142 184 14 137 105 3 84 1 009 438 Lumparland 157 43 106 63 21 37 40 3 30 22 1 18 281 478 Mariehamn-Maarianhamina 21 5 15 9 3 5 10 1 7 9 0 7 49 736 Saltvik 549 149 373 213 73 125 127 9 95 65 2 52 954 766 Sottunga 43 10 31 14 4 9 14 1 9 12 0 10 82 771 Sund 435 119 294 180 61 106 117 9 87 60 2 47 792 941 Vårdö 326 84 225 119 39 71 69 4 52 30 1 25 544 Total 5 133 1 391 3 480 2 152 721 1 266 1 606 117 1 167 1 008 33 801 9 900 Rannikko/Etelärannikko 049 Espoo-Esbo 880 342 507 1 044 496 489 410 84 281 161 27 107 2 495 078 Hanko-Hangö 507 201 290 416 185 209 111 16 80 32 6 23 1 067 091 Helsinki-Helsingfors 358 149 197 416 203 187 204 40 141 95 15 68 1 072 092 Vantaa-Vanda 383 155 215 622 289 295 349 70 240 156 24 106 1 510 149 Ingå-Inkoo 1 248 477 726 1 029 453 513 351 63 244 136 27 90 2 764 235 Kauniainen-Grankulla 12 4 7 12 5 5 5 1 4 2 0 1 31 257 Kirkkonummi-Kyrkslätt 1 194 446 703 1 062 481 516 393 72 274 153 27 102 2 802 322 Kemiönsaari 2 855 1 099 1 673 1 630 701 843 442 62 321 148 26 105 5 075 407 Lapinjärvi-Lappträsk 921 367 520 1 564 686 792 460 85 321 124 30 74 3 069 424 Liljendal 313 124 178 484 212 245 139 27 96 37 9 22 974 434 Loviisa-Lovisa 191 73 111 221 101 108 57 11 40 15 3 10 483 444 Länsi-Turunmaa 3 523 1 299 2 112 1 743 685 951 623 76 452 290 52 203 6 179 585 Pernå-Pernaja 1 528 593 881 2 102 944 1 044 622 119 434 183 41 116 4 436 638 Porvoo-Borgå 2 161 837 1 248 2 884 1 293 1 432 872 172 606 293 63 187 6 210 701 Ruotsinpyhtää-Strömfors 970 376 559 1 335 575 681 475 86 334 122 28 75 2 902 710 Raasepori 5 169 2 039 2 975 4 381 1 986 2 170 1 219 186 874 396 75 270 11 164 753 Sipoo-Sibbo 955 387 534 1 603 778 742 500 102 345 200 38 132 3 257 755 Siuntio-Sjundeå 600 232 346 686 299 344 277 47 192 114 23 70 1 677 Total 23 768 9 200 13 782 23 233 10 373 11 568 7 510 1 317 5 276 2 656 515 1 762 57 167 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 20 4 14 20 6 12 18 1 13 3 0 2 60 280 Korsnäs 699 172 488 761 232 467 477 20 344 87 9 63 2 024 287 Kristinestad-Kristiinankaupunki 2 727 641 1 925 1 856 730 991 766 41 556 130 9 88 5 479 288 Kronoby-Kruunupyy 2 865 557 2 120 1 197 381 707 1 056 37 828 142 17 98 5 259 440 Larsmo-Luoto 524 89 395 295 101 168 224 8 166 60 10 41 1 102 475 Malax-Maalahti 1 419 329 1 005 1 430 438 876 955 38 691 184 15 135 3 988 499 Korsholm-Mustasaari 2 214 449 1 646 3 004 1 044 1 748 1 661 59 1 249 393 18 304 7 271 545 Närpes-Närpiö 3 252 754 2 305 2 479 867 1 418 1 189 53 855 141 16 92 7 061 559 Oravais-Oravainen 544 104 405 416 123 253 358 14 265 55 6 37 1 373 598 Jakobstad-Pietarsaari 260 47 195 141 38 88 144 4 111 21 2 15 565 599 Pedersöre-Pedersören kunta 3 059 562 2 292 1 354 402 824 1 256 40 988 141 17 96 5 811 893 Nykarleby-Uusikaarlepyy 2 656 524 1 974 1 403 422 851 1 177 48 887 156 21 101 5 392 905 Vaasa-Vasa 422 94 308 748 267 435 358 14 269 86 4 66 1 614 945 Vörå-Maxmo Vöyri-Maksamaa 1 527 322 1 114 1 567 508 932 1 070 45 779 199 16 145 4 364 Total 22 186 4 650 16 187 16 671 5 558 9 769 10 708 423 8 001 1 800 159 1 282 51 365 Lounais-Suomi 019 Aura 258 101 148 197 85 100 67 8 48 27 5 19 549 050 Eura 2 280 887 1 322 1 701 672 907 688 67 501 192 26 151 4 862 051 Eurajoki 1 236 426 773 1 203 475 634 473 36 337 94 8 70 3 007 079 Harjavalta 402 132 256 395 161 206 168 15 121 24 2 19 989 099 Honkajoki 1 381 345 957 244 92 132 269 18 197 30 3 18 1 923 102 Huittinen 1 440 503 884 1 635 717 820 628 71 442 110 16 80 3 812 181 Jämijärvi 727 223 465 453 205 215 240 18 179 49 4 34 1 469 202 Kaarina 452 170 267 289 117 154 116 13 83 58 10 41 915 214 Kankaanpää 2 831 806 1 876 1 277 592 599 721 47 532 146 12 100 4 975 230 Karvia 2 189 550 1 513 385 135 220 382 26 277 44 4 26 3 000 254 Kiikoinen 505 175 310 500 225 245 170 15 125 23 1 17 1 198 271 Kokemäki 1 672 559 1 045 1 479 652 734 635 62 460 112 6 92 3 899 284 Koski T.l. 481 218 250 502 242 238 194 21 139 43 10 26 1 220 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 193 Table 7b. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 304 Kustavi 605 212 373 218 77 125 93 11 67 45 7 31 961 319 Köyliö 1 170 459 679 579 255 287 214 19 150 46 5 37 2 008 400 Laitila 2 167 817 1 284 1 251 464 690 508 55 372 139 22 106 4 064 413 Lavia 1 452 504 892 1 129 510 550 408 39 307 66 4 49 3 054 423 Lieto 652 256 376 428 184 220 136 18 97 52 9 38 1 268 430 Loimaa 1 974 859 1 057 2 106 1 032 976 681 78 493 168 46 105 4 929 442 Luvia 888 288 576 694 268 383 327 25 257 67 10 49 1 977 480 Marttila 564 215 329 459 198 235 169 21 121 59 12 41 1 250 481 Masku 654 241 392 358 142 193 139 16 100 60 10 43 1 212 484 Merikarvia 1 883 550 1 240 1 597 752 749 571 35 427 166 12 117 4 216 503 Mynämäki 2 124 773 1 276 1 244 488 675 517 62 375 154 29 109 4 040 529 Naantali 1 092 393 664 461 178 254 168 19 121 82 13 58 1 803 531 Nakkila 519 159 340 548 218 291 231 19 171 44 5 33 1 342 537 Noormarkku 1 368 482 835 1 469 665 721 516 50 380 102 13 73 3 455 538 Nousiainen 763 289 449 483 203 252 158 20 115 50 9 35 1 453 561 Oripää 352 131 209 240 103 124 88 11 63 24 4 17 704 577 Paimio 885 341 518 567 243 292 184 23 132 73 12 52 1 709 608 Pomarkku 1 303 479 772 1 537 766 699 429 46 310 79 7 59 3 349 609 Pori 1 875 668 1 153 1 777 717 948 780 76 585 183 29 126 4 615 631 Pyhäranta 651 244 389 470 177 263 188 22 142 63 4 51 1 371 636 Pöytyä 2 958 1 104 1 754 2 017 845 1 055 743 93 539 218 45 151 5 936 680 Raisio 136 50 81 72 29 39 31 3 22 16 2 11 255 684 Rauma 2 047 780 1 206 1 402 566 742 548 49 411 179 14 137 4 175 704 Rusko 466 175 276 300 124 158 107 13 78 35 6 25 908 734 Salo 7 583 2 980 4 376 6 134 2 755 3 056 1 875 248 1 347 663 130 460 16 254 738 Sauvo 906 339 539 544 222 290 187 23 135 75 14 53 1 711 747 Siikainen 2 075 589 1 383 1 441 690 662 613 37 456 155 12 109 4 283 761 Somero 1 763 702 1 000 2 231 1 060 1 056 722 92 505 144 25 97 4 861 783 Säkylä 702 280 400 370 161 186 144 15 104 47 9 36 1 263 833 Taivassalo 476 166 293 190 70 107 79 8 57 38 6 27 782 838 Tarvasjoki 290 112 168 225 96 116 76 10 54 32 6 22 622 853 Turku-Åbo 678 253 402 419 169 222 186 21 132 91 14 66 1 374 886 Ulvila 1 521 504 952 1 603 687 812 620 60 451 108 12 81 3 851 895 Uusikaupunki 2 061 735 1 254 942 350 525 426 46 306 170 27 121 3 599 918 Vehmaa 650 232 395 297 111 165 134 15 96 55 9 39 1 138 Total 63 108 22 459 38 350 46 060 19 941 23 323 17 747 1 811 12 921 4 698 701 3 356 131 613 Häme-Uusimaa 015 Artjärvi 384 153 217 730 337 356 204 36 140 73 15 44 1 391 016 Asikkala 1 784 794 928 3 162 1 570 1 438 1 029 182 715 327 44 220 6 302 018 Askola 462 189 256 947 428 470 278 56 189 97 23 57 1 784 061 Forssa 521 254 250 1 214 630 534 309 43 222 70 11 48 2 115 081 Hartola 1 840 930 853 3 554 1 844 1 565 1 164 204 822 308 32 210 6 867 082 Hattula 1 055 455 565 1 468 660 718 575 98 402 191 33 120 3 288 086 Hausjärvi 790 372 386 1 435 671 697 355 54 242 109 14 71 2 689 098 Hollola 1 083 517 529 2 392 1 209 1 074 588 79 415 212 29 137 4 274 103 Humppila 362 160 192 663 342 297 135 13 100 42 7 28 1 201 106 Hyvinkää 814 360 420 1 508 720 720 415 67 287 126 17 83 2 863 109 Hämeenlinna 5 489 2 527 2 777 10 685 5 203 4 966 2 851 458 2 000 750 128 486 19 775 111 Heinola 3 279 1 589 1 578 3 402 1 749 1 493 1 414 266 966 391 54 254 8 486 165 Janakkala 1 399 648 704 2 638 1 273 1 236 714 122 494 238 38 155 4 990 169 Jokioinen 257 105 143 677 343 308 151 17 110 49 4 37 1 135 186 Järvenpää 42 18 23 87 39 42 40 7 27 21 3 13 189 223 Karjalohja 352 129 208 344 148 174 184 29 128 69 13 44 949 224 Karkkila 826 327 470 1 183 544 574 384 71 265 134 29 81 2 526 245 Kerava 46 19 26 71 32 35 38 7 26 18 3 12 174 283 Hämeenkoski 358 171 174 1 020 496 478 244 31 171 81 11 52 1 703 316 Kärkölä 430 189 222 1 132 533 546 274 37 185 84 10 53 1 921 398 Lahti 264 112 143 468 248 197 148 20 103 64 7 41 944 433 Loppi 2 011 872 1 069 2 995 1 441 1 400 868 157 595 275 48 173 6 150 444 Lohja 834 317 483 968 424 484 460 76 315 203 35 125 2 465 504 Myrskylä-Mörskom 503 204 282 956 414 489 310 58 214 102 25 59 1 871 505 Mäntsälä 1 228 556 621 3 180 1 516 1 527 686 107 467 192 28 123 5 287 532 Nastola 1 018 452 528 1 408 697 642 525 84 366 182 24 119 3 133 540 Nummi-Pusula 1 520 573 889 1 545 673 777 663 108 461 229 46 140 3 957 543 Nurmijärvi 608 243 340 970 438 472 433 74 297 204 33 126 2 215 560 Orimattila 1 364 615 698 2 428 1 186 1 119 632 91 435 214 30 138 4 638 576 Padasjoki 2 077 927 1 080 3 447 1 641 1 626 947 179 653 285 57 181 6 756 611 Pornainen 334 131 189 603 269 301 218 41 151 87 19 54 1 242 616 Pukkila 257 103 143 533 230 273 189 34 131 73 16 43 1 051 694 Riihimäki 223 100 114 504 249 233 143 24 98 56 8 36 927 781 Sysmä 2 478 1 404 1 000 4 092 2 208 1 728 1 423 281 989 482 57 338 8 476 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 194 Table 7b. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 834 Tammela 2 433 977 1 370 3 286 1 593 1 513 1 111 175 793 140 27 96 6 969 858 Tuusula 335 137 185 701 319 341 305 55 211 146 24 94 1 487 927 Vihti 1 498 580 863 2 010 904 991 745 135 514 290 57 178 4 543 981 Ypäjä 325 133 181 728 369 331 159 16 118 48 6 35 1 260 Total 40 885 18 344 21 098 69 135 33 591 32 164 21 312 3 593 14 818 6 661 1 063 4 304 137 992 Kaakkois-Suomi 075 Hamina 2 751 1 029 1 610 2 124 978 1 030 732 83 538 171 27 117 5 778 142 Iitti 1 976 898 1 010 3 025 1 577 1 314 982 179 686 266 41 169 6 248 153 Imatra 494 214 266 688 324 334 225 32 166 65 6 43 1 472 285 Kotka 1 066 431 593 707 301 361 301 36 218 75 7 51 2 148 286 Kouvola 11 905 5 239 6 224 9 970 5 007 4 451 3 572 555 2 481 848 122 545 26 296 405 Lappeenranta 4 195 1 701 2 342 3 944 1 918 1 833 1 327 164 969 359 45 241 9 826 416 Lemi 979 401 539 796 378 377 302 42 213 67 7 45 2 144 441 Luumäki 3 841 1 475 2 209 2 934 1 414 1 364 1 047 120 766 215 33 145 8 036 489 Miehikkälä 1 956 667 1 207 1 746 810 848 530 55 394 117 21 82 4 349 580 Parikkala 2 149 856 1 219 2 491 1 100 1 275 1 066 127 795 283 19 192 5 989 624 Pyhtää-Pyttis 1 124 439 642 1 283 547 659 509 87 361 132 32 82 3 048 689 Rautjärvi 1 352 566 746 1 909 847 967 726 94 537 202 18 136 4 188 700 Ruokolahti 5 736 2 478 3 063 3 621 1 678 1 763 1 633 212 1 190 360 32 236 11 350 739 Savitaipale 3 235 1 323 1 777 1 477 645 743 780 108 543 139 11 89 5 631 775 Suomenniemi 2 029 850 1 094 832 358 423 424 65 291 86 6 55 3 371 831 Taipalsaari 2 226 918 1 216 851 356 451 530 85 370 97 7 59 3 704 935 Virolahti 1 546 529 952 1 386 604 710 402 40 298 91 16 64 3 425 978 Ylämaa 1 950 699 1 175 1 746 845 814 534 56 399 115 20 79 4 345 Total 50 510 20 714 27 885 41 528 19 686 19 719 15 623 2 140 11 215 3 686 471 2 430 111 347 Pirkanmaa 020 Akaa 183 87 89 349 161 167 139 20 97 32 5 21 702 108 Hämeenkyrö 1 372 517 802 1 963 907 942 889 111 645 194 27 131 4 418 143 Ikaalinen 3 199 1 103 1 967 2 694 1 251 1 278 1 116 118 807 225 27 151 7 234 177 Juupajoki 1 034 436 562 1 387 702 615 423 56 306 87 13 58 2 931 211 Kangasala 1 390 655 695 2 203 1 076 1 004 860 149 619 216 33 150 4 670 250 Kihniö 2 070 539 1 426 615 222 335 472 31 342 57 9 35 3 213 289 Kuhmalahti 545 238 288 818 370 400 270 47 185 84 15 53 1 717 310 Kylmäkoski 457 210 231 831 399 392 252 38 179 55 10 39 1 595 418 Lempäälä 557 252 290 1 364 683 605 487 102 335 144 19 105 2 551 508 Mänttä-Vilppula 2 250 889 1 282 3 189 1 601 1 426 1 035 140 745 266 32 185 6 740 536 Nokia 766 366 380 1 285 619 598 523 95 367 135 26 92 2 709 562 Orivesi 3 060 1 311 1 646 4 600 2 323 2 050 1 416 202 1 021 306 46 205 9 382 581 Parkano 4 506 1 251 3 028 1 632 659 838 1 024 67 750 157 17 103 7 319 604 Pirkkala 146 65 77 382 188 173 146 32 100 49 7 36 723 619 Punkalaidun 1 110 536 541 1 336 673 603 376 37 272 93 24 58 2 916 635 Pälkäne 1 573 735 784 3 691 1 789 1 735 957 183 662 339 58 227 6 560 702 Ruovesi 3 587 1 408 2 053 4 431 2 230 1 985 1 273 169 922 292 36 201 9 583 790 Sastamala 4 646 1 586 2 871 5 209 2 454 2 453 1 906 248 1 355 329 38 232 12 090 837 Tampere 1 814 780 974 2 874 1 432 1 299 959 153 691 212 32 143 5 859 887 Urjala 1 410 651 717 2 302 1 146 1 058 664 76 481 172 38 111 4 547 908 Valkeakoski 595 287 289 1 207 578 561 468 93 323 140 27 95 2 410 922 Vesilahti 853 439 390 1 563 815 674 446 83 309 93 20 63 2 955 936 Virrat 6 369 1 932 4 118 3 476 1 460 1 777 1 450 109 1 067 234 33 148 11 529 980 Ylöjärvi 5 433 1 983 3 251 5 157 2 432 2 433 1 859 226 1 351 360 47 247 12 809 Total 48 922 18 256 28 749 54 556 26 168 25 400 19 410 2 585 13 930 4 273 640 2 888 127 161 Etelä-Savo 046 Enonkoski 1 371 608 721 1 650 748 817 548 69 407 172 16 115 3 741 090 Heinävesi 4 402 1 696 2 568 5 704 2 591 2 795 1 895 234 1 422 516 31 348 12 516 097 Hirvensalmi 2 176 1 115 992 2 227 1 086 1 035 1 133 221 769 377 49 243 5 914 171 Joroinen 2 451 986 1 373 2 621 1 398 1 088 903 101 631 208 21 126 6 183 178 Juva 5 956 2 617 3 109 5 065 2 530 2 259 1 881 273 1 288 443 56 283 13 345 213 Kangasniemi 4 813 2 162 2 453 4 656 2 406 2 008 1 842 278 1 229 485 54 308 11 796 246 Kerimäki 2 429 1 050 1 296 2 654 1 211 1 314 1 074 128 786 261 24 173 6 418 491 Mikkeli 7 753 3 604 3 860 7 075 3 480 3 208 3 147 495 2 156 851 109 543 18 827 507 Mäntyharju 6 182 2 734 3 207 3 483 1 603 1 688 1 776 283 1 219 428 47 274 11 868 588 Pertunmaa 1 424 692 685 1 940 938 902 898 165 610 255 31 163 4 517 593 Pieksämäki 7 434 2 894 4 218 6 578 3 326 2 849 2 680 334 1 886 594 51 367 17 286 618 Punkaharju 2 481 1 072 1 329 2 365 1 115 1 146 883 110 647 199 16 133 5 929 623 Puumala 5 999 2 433 3 331 1 866 794 978 1 344 181 976 240 12 142 9 448 681 Rantasalmi 2 300 964 1 260 2 323 1 028 1 164 976 114 718 302 26 205 5 902 696 Ristiina 3 314 1 537 1 656 2 249 1 074 1 056 1 074 176 744 271 32 175 6 909 740 Savonlinna 6 482 2 835 3 429 5 689 2 557 2 842 2 273 291 1 661 576 46 384 15 021 768 Sulkava 3 510 1 534 1 847 1 950 874 969 1 020 130 732 219 16 142 6 698 Total 70 476 30 531 37 334 60 096 28 758 28 119 25 347 3 583 17 883 6 398 639 4 126 162 316 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 195 Table 7b. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 Etelä-Pohjanmaa 005 Alajärvi 5 475 1 432 3 744 1 085 404 591 1 026 69 748 129 14 83 7 715 010 Alavus 3 828 1 084 2 525 885 322 503 734 55 529 80 9 46 5 527 052 Evijärvi 1 290 242 954 393 123 229 465 18 357 76 10 53 2 223 074 Halsua 1 794 395 1 258 191 78 95 393 16 299 46 2 38 2 425 095 Himanka 1 139 229 833 348 114 203 308 8 243 45 5 32 1 840 145 Ilmajoki 1 913 481 1 313 936 353 508 499 34 361 59 6 38 3 406 151 Isojoki 2 886 665 2 042 1 133 468 583 611 37 452 75 6 51 4 705 152 Isokyrö 864 183 621 510 155 305 409 17 293 66 10 44 1 848 164 Jalasjärvi 3 265 871 2 211 836 301 471 648 50 461 93 13 54 4 843 217 Kannus 1 861 358 1 365 451 141 266 592 18 466 49 4 37 2 954 218 Karijoki 740 147 544 380 146 209 158 7 114 16 2 10 1 294 232 Kauhajoki 5 090 1 014 3 729 1 320 482 748 790 46 570 62 5 39 7 262 233 Kauhava 4 631 913 3 395 1 129 338 665 1 241 47 939 270 35 194 7 271 236 Kaustinen 1 409 271 1 038 344 103 206 398 12 312 51 5 37 2 202 272 Kokkola-Karleby 5 623 1 089 4 129 1 811 596 1 050 1 672 56 1 294 250 29 176 9 356 300 Kuortane 2 510 733 1 650 510 197 271 467 30 335 49 5 27 3 536 301 Kurikka 3 245 728 2 301 1 594 582 885 857 48 613 105 12 67 5 800 399 Laihia 1 608 364 1 145 1 102 354 650 746 34 544 117 19 79 3 573 403 Lappajärvi 1 857 393 1 344 456 143 265 506 22 388 103 11 77 2 921 408 Lapua 2 658 558 1 931 837 270 489 769 33 588 126 14 90 4 390 421 Lestijärvi 1 891 366 1 389 531 177 311 576 18 437 90 7 65 3 087 584 Perho 3 318 695 2 395 686 242 385 720 25 546 94 6 67 4 818 743 Seinäjoki 5 068 1 278 3 480 1 536 533 859 1 413 100 1 023 207 21 131 8 224 759 Soini 3 023 798 2 069 795 315 422 606 41 450 91 7 63 4 514 846 Teuva 2 049 395 1 510 1 002 378 550 475 22 334 58 6 37 3 583 849 Toholampi 2 146 457 1 537 599 201 343 618 23 478 73 5 57 3 435 863 Töysä 1 773 547 1 140 409 166 210 273 18 192 30 3 17 2 485 924 Veteli 1 971 378 1 459 496 160 291 539 18 422 74 7 54 3 080 934 Vimpeli 1 147 237 834 308 106 177 322 12 251 47 4 34 1 825 942 Vähäkyrö 298 71 208 298 90 182 244 10 173 55 4 39 894 989 Ähtäri 4 785 1 364 3 190 1 614 656 845 1 035 89 751 162 16 107 7 597 Total 81 155 18 733 57 279 24 522 8 695 13 770 20 108 1 032 14 963 2 848 302 1 941 128 633 Keski-Suomi 077 Hankasalmi 1 985 778 1 116 2 386 1 309 954 1 001 121 692 197 17 123 5 570 172 Joutsa 3 724 1 752 1 844 4 477 2 250 2 010 1 863 332 1 295 483 48 322 10 547 179 Jyväskylä 4 180 1 799 2 222 5 628 3 004 2 342 2 006 275 1 446 508 59 326 12 322 182 Jämsä 6 620 2 520 3 804 6 631 3 464 2 810 2 268 269 1 607 515 52 332 16 034 216 Kannonkoski 2 584 778 1 697 1 355 591 684 689 56 513 123 8 88 4 751 226 Karstula 4 779 1 253 3 285 1 811 734 948 1 298 82 987 171 10 118 8 058 249 Keuruu 6 942 2 336 4 332 4 688 2 132 2 280 1 963 206 1 416 368 50 244 13 961 256 Kinnula 2 303 514 1 644 798 293 444 666 29 510 93 7 66 3 860 265 Kivijärvi 2 798 777 1 885 1 142 489 577 666 45 503 99 7 70 4 705 275 Konnevesi 2 058 814 1 161 2 572 1 399 1 042 965 107 709 198 18 115 5 793 291 Kuhmoinen 2 701 1 170 1 433 3 770 2 029 1 559 1 019 142 729 269 34 181 7 758 312 Kyyjärvi 2 330 550 1 649 583 218 316 575 30 443 70 4 50 3 558 410 Laukaa 2 289 909 1 279 2 377 1 271 982 941 125 644 205 19 128 5 813 435 Luhanka 798 432 339 1 255 674 531 476 78 350 157 16 104 2 685 495 Multia 4 283 1 240 2 853 2 026 920 977 1 078 77 804 156 12 108 7 543 500 Muurame 440 196 229 819 439 341 250 36 184 70 9 45 1 580 592 Petäjävesi 1 964 643 1 231 1 698 872 732 645 64 466 121 10 72 4 428 601 Pihtipudas 4 720 894 3 551 2 510 788 1 517 1 702 81 1 299 307 24 198 9 238 729 Saarijärvi 6 430 1 947 4 203 3 769 1 709 1 837 2 063 159 1 545 323 22 222 12 586 850 Toivakka 1 558 667 829 1 401 709 615 652 100 454 164 18 107 3 775 892 Uurainen 1 552 508 972 1 170 602 501 481 48 348 80 6 48 3 283 931 Viitasaari 5 890 1 717 3 884 4 026 1 691 2 068 1 915 188 1 368 457 39 284 12 288 992 Äänekoski 4 072 1 552 2 359 3 931 2 033 1 692 1 413 171 1 023 291 29 167 9 708 Total 77 003 25 746 47 800 60 823 29 617 27 758 26 594 2 820 19 335 5 424 517 3 516 169 843 Pohjois-Savo 140 Iisalmi 1 661 444 1 134 2 648 1 207 1 281 1 341 128 1 010 324 25 183 5 974 174 Juankoski 1 447 463 917 1 852 912 841 734 77 535 201 13 119 4 233 204 Kaavi 3 158 988 2 025 2 626 1 203 1 271 1 025 95 729 190 9 116 7 000 227 Karttula 1 906 746 1 083 2 306 1 193 984 920 114 661 220 21 135 5 353 239 Keitele 2 023 632 1 294 1 880 893 873 819 81 580 124 9 72 4 844 263 Kiuruvesi 3 762 957 2 621 3 256 1 160 1 825 2 359 139 1 818 456 31 288 9 833 297 Kuopio 3 421 1 352 1 948 6 176 3 360 2 568 2 064 316 1 491 788 63 454 12 450 402 Lapinlahti 1 498 403 1 021 2 411 1 115 1 157 1 130 109 855 240 19 132 5 278 420 Leppävirta 3 885 1 522 2 226 6 843 3 581 2 935 2 280 323 1 678 619 40 362 13 626 476 Maaninka 1 089 343 697 2 056 1 008 940 814 90 607 192 16 111 4 151 534 Nilsiä 2 056 652 1 312 3 194 1 595 1 442 1 158 127 856 303 24 172 6 711 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 196 Table 7b. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 595 Pielavesi 4 091 1 225 2 670 4 427 1 885 2 248 2 214 214 1 651 422 37 254 11 154 686 Rautalampi 2 247 915 1 239 2 267 1 113 1 020 1 004 140 715 227 19 139 5 744 687 Rautavaara 5 637 1 536 3 822 2 900 1 158 1 526 1 535 106 1 118 198 13 121 10 270 749 Siilinjärvi 751 250 469 1 697 890 729 593 65 443 175 12 98 3 217 762 Sonkajärvi 6 053 1 518 4 209 3 271 1 272 1 735 2 133 134 1 569 339 24 205 11 796 778 Suonenjoki 3 193 1 262 1 795 3 276 1 722 1 373 1 233 160 871 273 24 166 7 976 844 Tervo 1 250 512 687 1 494 724 679 736 99 528 165 12 102 3 645 857 Tuusniemi 1 643 612 969 3 001 1 530 1 329 1 058 143 780 323 19 191 6 025 915 Varkaus 1 512 625 839 2 144 1 095 944 795 116 590 208 12 129 4 659 916 Varpaisjärvi 1 531 464 995 1 683 770 811 761 73 565 180 16 104 4 155 921 Vesanto 1 705 638 998 1 765 890 782 742 97 529 156 14 92 4 368 925 Vieremä 3 270 848 2 249 2 122 791 1 160 1 518 97 1 133 266 18 166 7 177 Total 58 789 18 906 37 220 65 292 31 066 30 451 28 968 3 046 21 311 6 589 487 3 914 159 639 Pohjois-Karjala 146 Ilomantsi 15 507 4 812 9 882 4 786 2 194 2 237 3 124 281 2 139 427 18 199 23 845 167 Joensuu 10 902 4 092 6 354 8 661 4 340 3 849 3 862 525 2 630 682 36 359 24 107 176 Juuka 8 026 2 683 4 980 3 908 1 768 1 871 2 189 242 1 501 287 16 146 14 410 248 Kesälahti 2 026 856 1 098 1 272 588 621 680 80 488 138 7 84 4 116 260 Kitee 3 523 1 449 1 937 3 216 1 593 1 466 1 519 185 1 078 308 17 179 8 566 276 Kontiolahti 3 973 1 631 2 180 2 378 1 133 1 102 1 341 158 941 242 14 132 7 933 309 Outokumpu 2 181 876 1 218 1 333 588 660 707 83 526 177 10 111 4 397 422 Lieksa 19 953 6 861 12 039 5 905 2 516 2 930 4 269 395 2 888 621 21 289 30 748 426 Liperi 3 072 1 318 1 646 2 278 1 068 1 083 1 082 131 797 273 20 168 6 706 541 Nurmes 7 568 2 137 5 036 4 176 1 777 2 090 2 581 213 1 783 332 16 188 14 657 607 Polvijärvi 3 961 1 567 2 235 1 719 721 873 1 290 142 931 236 16 141 7 206 707 Rääkkylä 1 788 785 940 1 702 839 784 876 95 666 223 14 142 4 591 848 Tohmajärvi 3 713 1 310 2 250 2 874 1 408 1 314 1 211 158 831 192 10 101 7 991 911 Valtimo 3 406 853 2 373 2 123 774 1 171 1 325 74 981 185 11 113 7 039 Total 89 600 31 231 54 169 46 332 21 307 22 050 26 056 2 765 18 181 4 323 226 2 353 166 311 Kainuu 105 Hyrynsalmi 5 981 1 769 3 859 2 490 888 1 413 1 689 28 1 213 167 8 102 10 327 205 Kajaani 8 446 1 946 5 993 2 091 698 1 191 2 552 59 1 878 259 9 172 13 348 290 Kuhmo 23 888 8 155 14 283 6 565 2 048 3 890 4 668 170 3 155 335 5 185 35 455 578 Paltamo 4 256 1 179 2 857 1 980 788 1 053 1 353 42 999 180 7 113 7 769 620 Puolanka 8 849 1 923 6 367 4 144 1 404 2 413 2 829 35 2 060 299 14 219 16 121 697 Ristijärvi 3 654 987 2 444 1 514 529 860 1 070 20 749 95 4 59 6 333 765 Sotkamo 12 544 3 377 8 463 5 550 1 980 3 103 3 764 144 2 716 441 24 303 22 299 777 Suomussalmi 20 420 5 693 13 350 6 352 1 734 4 030 4 113 57 2 905 467 20 309 31 351 785 Vaala 4 864 872 3 609 652 177 410 1 311 7 1 018 69 5 53 6 896 Total 92 903 25 900 61 227 31 338 10 246 18 363 23 348 562 16 692 2 311 96 1 513 149 899 Pohjois-Pohjanmaa 009 Alavieska 846 140 640 251 68 157 256 5 201 41 4 27 1 393 069 Haapajärvi 3 003 589 2 225 1 468 464 888 1 270 49 1 002 218 15 150 5 959 071 Haapavesi 3 810 717 2 841 1 347 398 825 1 669 50 1 328 226 18 155 7 051 072 Hailuoto 615 144 424 127 38 76 169 1 131 28 1 19 938 084 Haukipudas 1 724 388 1 217 462 144 280 417 4 326 54 5 36 2 658 139 Ii 5 273 1 070 3 839 1 536 429 952 1 465 14 1 098 155 9 107 8 430 208 Kalajoki 2 386 360 1 822 566 135 366 800 14 640 91 7 62 3 843 244 Kempele 306 65 218 83 24 52 113 1 89 14 1 9 516 255 Kiiminki 1 416 309 1 004 398 134 232 311 2 245 40 2 29 2 165 305 Kuusamo 16 597 3 958 11 597 6 710 1 751 4 403 3 247 26 2 346 320 12 194 26 875 317 Kärsämäki 2 776 502 2 088 1 103 354 656 1 209 30 954 154 10 110 5 241 425 Liminka 1 861 326 1 374 304 70 198 730 7 568 75 3 53 2 971 436 Lumijoki 575 119 412 131 34 83 264 4 207 34 1 23 1 004 483 Merijärvi 819 144 616 295 76 186 301 6 236 42 5 29 1 457 494 Muhos 2 640 491 1 933 375 107 234 664 4 514 51 3 38 3 731 535 Nivala 1 521 312 1 114 711 227 427 600 23 474 123 11 80 2 955 563 Oulainen 1 991 375 1 481 769 211 475 773 20 613 128 15 90 3 661 564 Oulu 5 713 1 181 4 107 1 245 362 775 1 216 7 950 112 7 80 8 286 567 Oulunsalo 246 57 172 68 20 43 86 1 66 12 1 7 411 615 Pudasjärvi 18 419 3 160 13 897 4 709 1 096 3 139 3 758 28 2 721 254 6 197 27 139 625 Pyhäjoki 2 023 321 1 529 560 140 357 749 15 604 94 9 64 3 426 626 Pyhäsalmi 5 135 1 032 3 794 2 692 817 1 636 2 337 81 1 869 341 22 241 10 505 630 Pyhäntä 3 368 617 2 491 668 188 418 1 028 11 793 80 5 61 5 144 678 Raahe 2 102 450 1 499 519 163 313 681 8 530 89 7 63 3 390 691 Reisjärvi 1 861 323 1 402 713 225 426 708 24 559 108 7 73 3 389 746 Sievi 2 920 479 2 212 785 233 474 998 28 790 131 9 88 4 834 748 Siikajoki 3 472 656 2 535 607 160 388 1 217 14 941 130 7 93 5 426 791 Siikalatva 8 691 1 502 6 492 1 576 421 1 006 3 133 28 2 428 256 14 194 13 657 832 Taivalkoski 8 605 1 982 6 130 3 609 1 039 2 302 1 748 23 1 280 233 7 182 14 195 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 197 Table 7b. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 859 Tyrnävä 1 475 262 1 087 221 55 142 459 3 354 41 2 30 2 196 889 Utajärvi 6 277 1 123 4 661 826 212 528 1 355 7 1 042 58 3 46 8 516 926 Vihanti 1 780 358 1 293 465 131 292 650 11 510 76 4 57 2 972 972 Yli-Ii 2 792 525 2 060 566 144 365 677 5 503 48 2 34 4 084 977 Ylivieska 2 046 399 1 508 711 204 438 793 23 629 128 12 87 3 679 Total 125 086 24 436 91 716 37 176 10 274 23 530 35 852 579 27 543 3 984 248 2 810 202 098 Lapland 047 Enontekiö 3 957 788 2 985 318 79 214 816 0 394 17 0 1 5 108 148 Inari 39 491 6 772 30 571 2 520 686 1 704 3 982 0 2 198 58 0 27 46 051 240 Kemi 93 14 68 268 80 163 135 0 105 44 0 34 541 241 Keminmaa 959 148 728 1 553 359 1 013 1 096 7 879 170 4 123 3 778 261 Kittilä 17 812 3 695 13 098 5 569 1 553 3 547 4 697 11 3 464 212 27 98 28 290 273 Kolari 8 588 2 416 5 630 1 646 248 1 164 1 531 18 1 051 123 4 74 11 887 320 Kemijärvi 12 185 2 507 8 865 2 107 386 1 464 2 160 13 1 460 57 0 24 16 510 498 Muonio 5 706 1 186 4 251 1 590 428 1 044 784 1 487 50 0 32 8 130 583 Pelkosenniemi 4 166 743 3 114 1 486 282 1 045 1 565 6 1 047 46 0 20 7 262 614 Posio 9 619 2 071 6 931 2 555 655 1 689 1 254 11 890 102 1 73 13 530 683 Ranua 9 245 1 457 7 057 2 286 418 1 581 2 011 10 1 403 121 2 89 13 663 698 Rovaniemi 24 977 5 269 17 849 5 619 1 113 3 806 4 903 23 3 467 346 6 232 35 845 732 Salla 12 598 2 222 9 568 6 071 1 526 4 062 3 572 5 2 404 161 1 76 22 401 742 Savukoski 17 289 3 458 12 784 4 662 1 177 3 130 2 876 3 1 960 82 0 40 24 908 751 Simo 3 407 546 2 598 1 549 405 964 1 368 11 1 015 172 7 122 6 496 758 Sodankylä 25 652 5 312 18 691 7 093 1 750 4 765 5 162 7 3 606 190 7 75 38 097 845 Tervola 3 264 518 2 471 2 677 525 1 827 2 409 26 1 858 208 3 137 8 558 851 Tornio 1 511 225 1 133 2 897 586 2 001 2 039 11 1 592 353 2 280 6 800 854 Pello 5 491 1 343 3 726 1 799 421 1 177 1 671 21 1 183 264 14 152 9 225 890 Utsjoki 256 7 211 24 5 18 59 0 18 0 0 0 340 976 Ylitornio 5 071 945 3 636 1 854 276 1 290 1 795 5 1 269 105 0 76 8 825 Total 211 336 41 639 155 964 56 142 12 960 37 669 45 888 188 31 750 2 880 80 1 783 316 246 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 198 Table 7c. The mean volume of growing stock by tree species and roundwood assortment on forest land available for wood supply by forestry centres. Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha Åland 035 Brändö 48.7 10.7 34.7 18.0 5.1 11.0 28.7 1.6 17.7 33.1 1.5 26.8 128.4 043 Eckerö 79.9 22.7 53.2 34.3 11.7 20.0 25.7 2.1 18.9 13.5 0.4 10.6 153.3 060 Finström 73.2 21.2 48.4 36.5 12.6 21.2 27.6 2.4 20.3 17.6 0.6 13.9 155.0 062 Föglö 85.4 20.8 60.2 30.6 9.7 18.6 21.7 1.2 16.1 13.7 0.5 11.1 151.4 065 Geta 86.0 22.7 58.8 31.8 10.4 18.9 21.0 1.4 15.7 10.6 0.3 8.5 149.4 076 Hammarland 77.3 21.7 51.7 34.8 11.7 20.4 27.1 2.2 20.1 14.5 0.5 11.6 153.6 170 Jomala 73.0 21.5 47.9 35.2 12.3 20.2 25.3 2.1 18.4 16.0 0.4 12.6 149.5 295 Kumlinge 73.2 14.6 54.4 11.5 3.2 7.2 23.3 1.0 13.3 23.4 1.5 18.7 131.5 318 Kökar 8.9 1.7 6.5 11.1 2.1 8.5 18.3 0.0 7.4 93.9 1.1 61.1 132.1 417 Lemland 72.7 20.6 48.4 36.9 12.3 21.6 28.1 2.2 20.9 15.9 0.5 12.8 153.6 438 Lumparland 87.6 23.7 59.5 34.9 11.9 20.5 22.3 1.6 16.8 12.4 0.4 10.0 157.2 478 Mariehamn-Maarianhamina 54.4 13.0 38.0 21.8 6.4 13.2 24.2 1.9 17.3 23.3 0.4 17.8 123.8 736 Saltvik 91.0 24.7 61.7 35.3 12.0 20.7 21.2 1.5 15.8 10.9 0.4 8.8 158.4 766 Sottunga 71.1 16.1 50.9 23.2 6.9 14.3 22.8 1.1 15.2 19.3 0.7 15.8 136.4 771 Sund 85.7 23.5 57.8 35.5 12.0 20.8 23.2 1.7 17.3 12.0 0.3 9.3 156.3 941 Vårdö 94.0 24.2 64.9 34.3 11.3 20.4 20.0 1.2 14.9 8.8 0.3 7.1 157.0 Total 78.5 21.3 53.2 32.9 11.0 19.4 24.6 1.8 17.9 15.4 0.5 12.3 151.5 Rannikko/Etelärannikko 049 Espoo-Esbo 54.4 21.1 31.3 64.7 30.6 30.3 26.5 5.4 18.2 10.6 1.8 7.0 156.2 078 Hanko-Hangö 78.2 31.0 44.9 64.1 28.3 32.5 17.5 2.5 12.6 5.2 0.9 3.7 165.0 091 Helsinki-Helsingfors 49.5 20.6 27.3 57.4 28.0 25.8 28.0 5.6 19.4 13.1 2.0 9.3 148.0 092 Vantaa-Vanda 37.6 15.1 21.1 60.4 28.1 28.6 34.4 6.9 23.6 15.6 2.3 10.5 148.0 149 Ingå-Inkoo 65.8 25.1 38.3 54.0 23.7 27.0 18.5 3.3 12.8 7.2 1.4 4.8 145.4 235 Kauniainen-Grankulla 57.5 21.9 33.5 58.7 27.5 27.6 26.6 5.2 18.2 11.2 2.0 7.2 154.0 257 Kirkkonummi-Kyrkslätt 57.3 21.3 33.8 50.7 22.7 24.8 19.9 3.6 13.8 7.8 1.4 5.1 135.7 322 Kemiönsaari 82.0 31.5 48.1 46.6 20.0 24.1 12.7 1.8 9.2 4.3 0.7 3.0 145.6 407 Lapinjärvi-Lappträsk 50.4 20.1 28.5 85.6 37.5 43.4 25.2 4.7 17.6 6.8 1.7 4.1 168.0 424 Liljendal 52.4 20.7 29.8 80.9 35.5 41.0 23.3 4.6 16.0 6.2 1.5 3.7 162.8 434 Loviisa-Lovisa 68.2 26.2 39.6 78.6 36.0 38.4 20.3 3.8 14.3 5.2 1.0 3.5 172.3 444 Länsi-Turunmaa 78.8 28.9 47.4 38.7 15.1 21.2 14.1 1.7 10.2 6.5 1.2 4.6 138.0 585 Pernå-Pernaja 56.5 22.0 32.5 77.8 34.8 38.7 23.1 4.4 16.1 6.7 1.5 4.2 164.0 638 Porvoo-Borgå 58.0 22.5 33.5 76.6 34.3 38.1 23.3 4.6 16.2 7.8 1.7 5.0 165.8 701 Ruotsinpyhtää-Strömfors 53.7 20.8 30.9 73.7 31.7 37.6 26.2 4.7 18.4 6.7 1.6 4.1 160.2 710 Raasepori 75.7 29.8 43.6 62.9 28.4 31.2 17.4 2.7 12.5 5.6 1.1 3.8 161.5 753 Sipoo-Sibbo 51.1 20.7 28.6 85.7 41.6 39.8 27.0 5.5 18.6 10.8 2.0 7.1 174.7 755 Siuntio-Sjundeå 47.2 18.2 27.3 53.7 23.2 27.0 22.1 3.8 15.3 9.2 1.8 5.6 132.2 Total 64.3 24.9 37.3 62.9 28.0 31.4 20.5 3.6 14.4 7.2 1.4 4.8 154.9 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 28.7 6.1 20.8 28.9 9.4 17.0 25.5 0.9 18.9 4.5 0.6 2.4 87.6 280 Korsnäs 39.6 9.8 27.6 42.4 12.8 26.1 26.9 1.1 19.4 4.9 0.5 3.5 113.7 287 Kristinestad-Kristiinankaupunki 54.7 12.9 38.6 37.2 14.6 19.9 15.4 0.8 11.1 2.6 0.2 1.8 109.8 288 Kronoby-Kruunupyy 57.5 11.2 42.5 24.0 7.6 14.2 21.2 0.7 16.6 2.9 0.3 2.0 105.5 440 Larsmo-Luoto 48.5 8.2 36.7 27.4 9.2 15.8 21.2 0.7 15.8 5.4 0.9 3.7 102.6 475 Malax-Maalahti 40.9 9.5 29.0 41.1 12.6 25.2 27.4 1.1 19.8 5.2 0.4 3.9 114.6 499 Korsholm-Mustasaari 38.9 7.9 28.9 52.3 18.1 30.5 28.8 1.0 21.5 6.8 0.3 5.2 126.7 545 Närpes-Närpiö 50.0 11.6 35.4 38.1 13.3 21.8 18.3 0.8 13.1 2.2 0.3 1.4 108.5 559 Oravais-Oravainen 41.5 8.0 31.0 31.9 9.4 19.4 27.4 1.1 20.3 4.2 0.5 2.8 105.1 598 Jakobstad-Pietarsaari 45.2 8.2 33.9 24.3 6.4 15.3 25.0 0.8 19.3 3.6 0.4 2.5 98.1 599 Pedersöre-Pedersören kunta 55.4 10.2 41.5 24.5 7.3 14.9 22.8 0.7 17.9 2.6 0.3 1.8 105.3 893 Nykarleby-Uusikaarlepyy 54.6 10.7 40.6 28.6 8.5 17.4 24.3 1.0 18.3 3.2 0.4 2.1 110.7 905 Vaasa-Vasa 35.4 7.9 25.8 59.5 20.8 35.0 30.7 1.2 23.0 7.4 0.3 5.6 133.0 945 Vörå-Maxmo Vöyri-Maksamaa 39.3 8.3 28.6 38.3 12.3 22.8 27.2 1.2 19.7 5.0 0.4 3.6 109.7 Total 48.5 10.2 35.4 35.8 11.9 21.0 23.2 0.9 17.3 3.9 0.3 2.7 111.3 Lounais-Suomi 019 Aura 67.8 26.7 38.9 51.7 22.3 26.4 17.7 2.2 12.5 7.1 1.2 5.0 144.2 050 Eura 65.7 25.5 38.1 48.7 19.2 26.0 19.8 1.9 14.4 5.5 0.7 4.3 139.6 051 Eurajoki 55.6 19.3 34.7 54.5 21.4 28.7 21.0 1.6 15.1 4.2 0.4 3.1 135.4 079 Harjavalta 55.0 18.1 35.0 54.1 22.0 28.2 22.8 2.0 16.5 3.2 0.2 2.5 135.1 099 Honkajoki 65.4 16.4 45.3 11.7 4.4 6.3 12.6 0.8 9.2 1.4 0.1 0.8 91.1 102 Huittinen 53.8 19.0 32.9 61.4 26.9 30.9 22.2 2.5 15.8 3.9 0.6 2.8 141.3 181 Jämijärvi 53.2 15.8 34.7 37.2 16.8 17.7 19.5 1.4 14.4 3.7 0.4 2.5 113.7 202 Kaarina 68.9 26.0 40.7 43.8 17.7 23.3 17.5 2.0 12.5 8.8 1.6 6.1 138.9 214 Kankaanpää 60.1 17.0 40.0 26.9 12.5 12.7 15.4 1.0 11.3 3.1 0.3 2.1 105.4 230 Karvia 69.0 17.5 47.6 12.4 4.4 7.1 12.2 0.8 8.8 1.4 0.1 0.9 94.9 254 Kiikoinen 55.0 19.0 33.8 54.3 24.4 26.6 18.5 1.7 13.7 2.5 0.2 1.9 130.3 271 Kokemäki 56.5 19.1 35.1 50.2 22.1 25.0 20.7 2.0 15.1 3.7 0.2 3.0 131.1 284 Koski T.l. 62.4 28.2 32.4 65.2 31.5 30.9 25.2 2.7 18.1 5.6 1.3 3.4 158.2 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 199 Table 7c. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 304 Kustavi 73.8 25.8 45.5 26.5 9.4 15.3 11.3 1.3 8.2 5.4 0.9 3.8 117.0 319 Köyliö 83.3 32.6 48.4 41.9 18.6 20.7 14.5 1.3 10.2 2.6 0.3 2.1 142.3 400 Laitila 69.8 26.4 41.3 40.4 15.0 22.3 15.8 1.8 11.6 4.1 0.7 3.0 130.1 413 Lavia 63.5 22.0 39.1 48.8 21.9 23.9 17.8 1.7 13.4 2.9 0.2 2.1 132.9 423 Lieto 78.0 30.6 45.1 50.5 21.7 26.0 16.0 2.1 11.4 6.0 1.0 4.3 150.5 430 Loimaa 61.0 26.7 32.5 65.7 32.2 30.4 21.1 2.4 15.3 5.2 1.5 3.3 153.0 442 Luvia 72.3 23.5 46.7 57.0 21.9 31.5 27.0 2.1 21.1 5.6 0.8 4.1 161.8 480 Marttila 65.5 25.0 38.3 53.6 23.1 27.5 19.7 2.4 14.2 6.9 1.4 4.8 145.7 481 Masku 72.6 26.8 43.4 39.5 15.7 21.3 14.8 1.7 10.7 6.4 1.0 4.6 133.4 484 Merikarvia 55.6 16.2 36.6 46.9 22.0 22.0 16.9 1.0 12.7 4.9 0.4 3.5 124.3 503 Mynämäki 73.2 26.7 43.9 43.1 16.9 23.4 17.7 2.1 12.9 5.2 1.0 3.7 139.2 529 Naantali 79.2 28.5 48.2 33.3 12.8 18.4 12.2 1.4 8.8 6.0 1.0 4.3 130.6 531 Nakkila 55.6 17.1 36.5 58.6 23.3 31.1 24.7 2.0 18.2 4.7 0.6 3.5 143.6 537 Noormarkku 56.3 19.8 34.3 60.2 27.2 29.6 21.1 2.0 15.6 4.2 0.6 3.0 141.7 538 Nousiainen 76.5 29.1 45.0 48.3 20.3 25.2 15.6 1.9 11.4 5.1 0.9 3.6 145.4 561 Oripää 70.5 26.3 41.8 48.1 20.6 24.8 17.6 2.2 12.6 4.9 0.9 3.5 141.0 577 Paimio 79.4 30.6 46.5 50.6 21.8 26.0 15.6 2.0 11.3 5.8 1.0 4.1 151.4 608 Pomarkku 58.0 21.5 34.2 68.9 34.3 31.4 18.9 2.0 13.7 3.5 0.3 2.6 149.3 609 Pori 61.6 21.7 38.1 57.0 22.8 30.6 25.9 2.5 19.5 6.0 0.9 4.2 150.5 631 Pyhäranta 67.9 25.4 40.5 48.9 18.4 27.3 19.4 2.2 14.7 6.5 0.4 5.3 142.6 636 Pöytyä 73.5 27.5 43.5 50.3 21.1 26.3 18.4 2.3 13.4 5.4 1.1 3.7 147.6 680 Raisio 70.8 26.2 42.3 37.5 14.9 20.1 16.1 1.8 11.5 8.1 1.2 5.9 132.5 684 Rauma 66.9 25.5 39.4 45.3 18.3 24.1 17.8 1.6 13.4 5.8 0.4 4.4 135.8 704 Rusko 76.3 28.7 45.2 48.8 20.1 25.8 17.3 2.2 12.6 5.7 1.1 4.1 148.2 734 Salo 72.8 28.7 42.0 59.2 26.6 29.5 17.9 2.4 12.9 6.2 1.2 4.3 156.1 738 Sauvo 75.2 28.1 44.8 45.2 18.5 24.1 15.5 1.9 11.2 6.2 1.2 4.4 142.1 747 Siikainen 59.2 16.8 39.4 41.3 19.8 19.0 17.4 1.1 12.9 4.4 0.4 3.1 122.3 761 Somero 53.2 21.2 30.2 68.0 32.3 32.2 21.9 2.8 15.4 4.4 0.8 3.0 147.6 783 Säkylä 67.6 27.3 38.3 42.3 18.5 21.2 16.7 1.7 12.1 5.6 1.0 4.3 132.3 833 Taivassalo 73.1 25.6 45.1 29.2 10.7 16.5 12.1 1.3 8.7 5.8 0.9 4.1 120.2 838 Tarvasjoki 71.6 27.8 41.6 55.3 23.6 28.5 18.2 2.3 13.1 7.3 1.5 5.0 152.4 853 Turku-Åbo 68.1 25.5 40.4 41.9 17.0 22.2 17.8 2.1 12.7 8.4 1.3 6.1 136.1 886 Ulvila 54.9 18.2 34.3 57.9 24.8 29.4 22.3 2.2 16.3 3.9 0.4 2.9 139.0 895 Uusikaupunki 71.9 25.6 43.8 32.7 12.1 18.2 14.8 1.6 10.6 5.9 1.0 4.2 125.3 918 Vehmaa 67.4 24.1 40.9 30.8 11.5 17.1 13.9 1.5 9.9 5.7 0.9 4.1 117.8 Total 65.2 23.2 39.6 47.8 20.7 24.2 18.3 1.9 13.3 4.8 0.7 3.4 136.0 Häme-Uusimaa 015 Artjärvi 43.2 17.2 24.4 82.2 37.9 40.1 22.9 4.1 15.7 8.2 1.7 4.9 156.5 016 Asikkala 44.1 19.6 22.9 78.2 38.9 35.6 25.4 4.5 17.6 8.1 1.1 5.4 155.7 018 Askola 41.8 17.1 23.1 85.6 38.7 42.5 25.2 5.1 17.1 8.8 2.1 5.2 161.3 061 Forssa 39.2 19.1 18.8 91.3 47.4 40.2 23.2 3.3 16.7 5.3 0.8 3.6 158.9 081 Hartola 41.9 21.2 19.4 80.4 41.8 35.4 26.3 4.6 18.5 7.0 0.7 4.7 155.5 082 Hattula 44.9 19.4 24.0 62.3 28.0 30.5 24.5 4.2 17.1 8.1 1.4 5.1 139.8 086 Hausjärvi 41.5 19.7 20.2 76.4 35.7 37.1 18.9 2.9 12.9 5.8 0.7 3.8 142.5 098 Hollola 37.7 18.0 18.4 83.4 42.2 37.5 20.5 2.8 14.4 7.4 1.0 4.8 149.0 103 Humppila 51.0 22.5 27.0 93.2 48.1 41.8 18.9 1.8 14.0 5.9 1.0 3.9 169.0 106 Hyvinkää 40.3 18.0 20.7 76.9 36.7 36.7 21.0 3.4 14.5 6.5 0.9 4.2 144.7 109 Hämeenlinna 42.2 19.4 21.3 82.7 40.1 38.5 22.2 3.6 15.6 5.9 1.0 3.8 152.9 111 Heinola 57.8 28.0 27.8 60.6 31.1 26.6 25.2 4.7 17.2 7.0 1.0 4.5 150.6 165 Janakkala 42.0 19.5 21.1 79.3 38.3 37.2 21.4 3.7 14.8 7.2 1.2 4.7 149.9 169 Jokioinen 32.5 13.4 18.0 86.5 43.8 39.3 19.3 2.1 14.1 6.3 0.5 4.7 144.7 186 Järvenpää 30.3 12.4 16.6 58.7 26.2 28.8 28.1 5.1 19.5 14.7 2.1 9.5 131.8 223 Karjalohja 49.1 18.0 29.0 46.5 20.0 23.5 25.2 4.0 17.6 9.4 1.7 6.0 130.2 224 Karkkila 51.3 20.3 29.2 73.6 33.7 35.7 24.0 4.5 16.6 8.4 1.8 5.1 157.3 245 Kerava 37.8 15.2 21.1 58.4 26.1 28.5 31.2 6.0 21.6 14.9 2.5 9.7 142.2 283 Hämeenkoski 30.9 14.8 15.0 88.2 42.9 41.3 21.1 2.7 14.8 7.0 1.0 4.5 147.1 316 Kärkölä 31.0 13.7 16.0 82.0 38.6 39.6 19.9 2.7 13.4 6.1 0.8 3.9 139.0 398 Lahti 37.6 16.0 20.3 67.2 35.5 28.4 21.5 3.0 14.9 9.3 1.0 6.0 135.7 433 Loppi 46.7 20.2 24.8 70.0 33.7 32.8 20.4 3.7 14.0 6.5 1.1 4.1 143.6 444 Lohja 43.4 16.5 25.2 50.1 21.9 25.1 23.8 3.9 16.3 10.5 1.8 6.5 127.8 504 Myrskylä-Mörskom 43.5 17.6 24.3 82.5 35.7 42.2 26.8 5.0 18.5 8.8 2.1 5.1 161.6 505 Mäntsälä 35.4 16.1 17.9 92.6 44.1 44.5 19.9 3.1 13.5 5.6 0.8 3.6 153.6 532 Nastola 47.9 21.3 24.9 66.2 32.8 30.2 24.7 4.0 17.2 8.6 1.1 5.6 147.5 540 Nummi-Pusula 53.8 20.3 31.5 54.7 23.8 27.5 23.4 3.8 16.3 8.0 1.6 4.9 140.0 543 Nurmijärvi 35.5 14.3 19.8 57.5 26.0 28.0 25.6 4.4 17.5 12.1 1.9 7.5 130.8 560 Orimattila 40.0 18.1 20.5 71.4 34.9 32.9 18.6 2.7 12.8 6.3 0.9 4.1 136.3 576 Padasjoki 48.5 21.6 25.3 80.5 38.1 38.1 22.3 4.2 15.3 6.8 1.4 4.3 158.0 611 Pornainen 42.4 16.8 24.0 77.5 34.6 38.7 27.9 5.3 19.4 11.3 2.4 6.9 159.0 616 Pukkila 37.4 15.0 20.9 77.4 33.3 39.7 27.5 4.9 19.1 10.6 2.4 6.2 152.9 694 Riihimäki 32.8 14.7 16.7 74.2 36.6 34.2 21.1 3.5 14.4 8.2 1.2 5.3 136.3 781 Sysmä 47.2 26.8 19.1 78.0 42.1 32.9 27.1 5.4 18.9 9.2 1.1 6.5 161.5 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 200 Table 7c. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 834 Tammela 55.1 22.3 30.9 75.0 36.2 34.7 25.3 4.0 18.1 3.2 0.6 2.2 158.7 858 Tuusula 33.2 13.6 18.4 69.3 31.6 33.8 30.2 5.4 20.9 14.5 2.4 9.3 147.2 927 Vihti 47.5 18.2 27.5 65.1 29.0 32.4 25.3 4.6 17.4 10.1 2.0 6.2 148.0 981 Ypäjä 41.8 17.1 23.4 93.6 47.4 42.6 20.5 2.0 15.2 6.2 0.8 4.5 162.2 Total 44.3 19.9 22.8 75.3 36.5 35.1 23.3 3.9 16.2 7.3 1.2 4.7 150.1 Kaakkois-Suomi 075 Hamina 62.7 23.4 36.7 48.4 22.3 23.5 16.7 1.9 12.3 3.9 0.6 2.7 131.7 142 Iitti 49.8 22.6 25.4 76.2 39.7 33.1 24.7 4.5 17.2 6.7 1.0 4.2 157.3 153 Imatra 50.2 21.8 27.1 70.0 33.0 34.0 22.9 3.3 16.8 6.6 0.6 4.4 149.7 285 Kotka 58.8 23.7 32.8 39.3 16.7 20.1 16.7 2.0 12.1 4.2 0.4 2.9 118.8 286 Kouvola 67.3 29.7 35.1 56.7 28.5 25.3 20.4 3.2 14.2 4.9 0.7 3.1 149.2 405 Lappeenranta 57.6 23.4 32.2 54.1 26.3 25.2 18.3 2.3 13.3 4.9 0.6 3.3 135.0 416 Lemi 60.3 24.7 33.2 49.0 23.3 23.3 18.6 2.6 13.1 4.2 0.4 2.8 132.1 441 Luumäki 65.2 25.0 37.5 49.8 24.0 23.2 17.8 2.0 13.0 3.6 0.6 2.5 136.4 489 Miehikkälä 61.9 21.1 38.2 55.3 25.6 26.9 16.8 1.7 12.5 3.7 0.7 2.6 137.7 580 Parikkala 49.8 19.9 28.3 57.6 25.4 29.5 24.7 3.0 18.4 6.6 0.5 4.5 138.7 624 Pyhtää-Pyttis 60.1 23.5 34.4 69.1 29.5 35.5 26.4 4.7 18.7 6.9 1.7 4.4 162.6 689 Rautjärvi 47.6 19.9 26.3 67.0 29.7 34.0 25.6 3.3 18.9 7.1 0.6 4.8 147.3 700 Ruokolahti 71.9 31.1 38.4 45.4 21.0 22.1 20.5 2.7 14.9 4.5 0.4 3.0 142.2 739 Savitaipale 73.9 30.2 40.7 33.8 14.8 17.0 18.0 2.5 12.5 3.2 0.3 2.1 128.9 775 Suomenniemi 84.0 35.2 45.3 34.4 14.8 17.5 17.5 2.7 12.1 3.6 0.3 2.3 139.4 831 Taipalsaari 79.1 32.7 43.1 30.4 12.6 16.2 19.3 3.1 13.4 3.5 0.3 2.2 132.2 935 Virolahti 59.9 20.5 36.9 53.7 23.4 27.5 15.6 1.6 11.6 3.5 0.6 2.5 132.7 978 Ylämaa 64.1 22.9 38.7 57.0 27.5 26.6 17.6 1.8 13.1 3.8 0.7 2.6 142.4 Total 63.9 26.2 35.3 52.6 25.0 25.0 19.8 2.7 14.2 4.7 0.6 3.1 141.0 Pirkanmaa 020 Akaa 35.5 16.8 17.4 67.3 31.0 32.3 27.0 3.9 18.9 6.2 0.9 4.1 135.9 108 Hämeenkyrö 44.3 16.6 26.0 62.7 28.9 30.1 27.9 3.5 20.3 5.8 0.8 3.9 140.6 143 Ikaalinen 55.5 19.1 34.2 47.1 21.7 22.5 19.9 2.1 14.4 4.0 0.5 2.7 126.5 177 Juupajoki 51.0 21.5 27.8 67.6 34.2 30.0 20.6 2.7 14.9 4.2 0.6 2.8 143.3 211 Kangasala 42.7 20.1 21.4 66.6 32.5 30.4 25.9 4.5 18.6 6.5 1.0 4.5 141.8 250 Kihniö 75.1 19.6 51.7 22.4 8.1 12.2 17.2 1.1 12.4 2.1 0.3 1.3 116.8 289 Kuhmalahti 43.7 19.0 23.1 65.3 29.4 32.1 21.7 3.8 14.9 6.7 1.2 4.2 137.4 310 Kylmäkoski 42.5 19.6 21.4 77.2 37.1 36.4 23.4 3.6 16.6 5.2 0.9 3.6 148.3 418 Lempäälä 32.1 14.5 16.7 78.9 39.5 35.0 28.1 5.9 19.3 8.3 1.1 6.1 147.3 508 Mänttä-Vilppula 51.5 20.3 29.4 71.8 35.8 32.3 23.8 3.2 17.1 6.1 0.7 4.3 153.1 536 Nokia 40.0 19.1 19.9 67.3 32.3 31.4 27.5 5.0 19.3 7.1 1.3 4.8 141.9 562 Orivesi 48.6 20.8 26.1 72.8 36.7 32.5 22.5 3.2 16.2 4.9 0.7 3.3 148.8 581 Parkano 68.5 19.0 46.0 24.6 9.9 12.7 15.6 1.0 11.4 2.4 0.3 1.6 111.1 604 Pirkkala 28.9 12.8 15.3 74.6 36.5 34.0 29.0 6.4 19.9 9.8 1.3 7.1 142.3 619 Punkalaidun 60.8 29.5 29.5 73.7 37.1 33.2 20.6 2.0 14.9 5.1 1.3 3.2 160.2 635 Pälkäne 38.6 18.1 19.3 90.7 44.0 42.6 23.5 4.5 16.2 8.3 1.4 5.6 161.1 702 Ruovesi 55.4 21.7 31.7 69.7 34.7 31.5 20.6 2.7 14.9 4.8 0.6 3.3 150.4 790 Sastamala 53.9 18.3 33.4 60.1 28.2 28.4 21.6 2.8 15.4 3.7 0.4 2.6 139.2 837 Tampere 47.7 20.5 25.6 75.4 37.5 34.1 25.2 4.0 18.1 5.6 0.8 3.8 153.8 887 Urjala 49.0 22.7 24.9 79.9 39.8 36.8 23.0 2.7 16.7 5.9 1.3 3.9 158.0 908 Valkeakoski 36.8 18.0 17.8 77.1 36.9 36.0 29.0 5.9 20.0 8.7 1.7 5.9 151.7 922 Vesilahti 45.3 23.1 20.9 78.8 40.8 34.3 22.3 4.0 15.5 3.8 0.9 2.6 150.3 936 Virrat 68.7 20.9 44.4 37.6 15.8 19.2 15.7 1.2 11.5 2.5 0.4 1.6 124.5 980 Ylöjärvi 60.1 21.8 36.1 56.3 26.2 26.8 20.9 2.5 15.2 4.1 0.5 2.8 141.4 Total 54.1 20.1 31.8 59.9 28.6 28.0 21.4 2.8 15.4 4.7 0.7 3.2 140.0 Etelä-Savo 046 Enonkoski 49.1 21.5 26.2 61.7 27.8 30.7 21.1 2.6 15.6 6.8 0.7 4.5 138.7 090 Heinävesi 47.7 18.3 27.9 61.7 28.0 30.3 20.8 2.6 15.6 5.7 0.3 3.8 135.8 097 Hirvensalmi 55.8 28.6 25.5 57.7 28.1 26.8 29.3 5.7 19.9 9.8 1.3 6.3 152.6 171 Joroinen 53.4 21.5 29.9 57.0 30.4 23.7 19.7 2.2 13.8 4.5 0.5 2.8 134.7 178 Juva 63.0 27.7 32.9 53.9 26.9 24.0 20.0 2.9 13.7 4.7 0.6 3.0 141.6 213 Kangasniemi 53.2 23.8 27.2 51.4 26.6 22.2 20.3 3.1 13.6 5.3 0.6 3.4 130.2 246 Kerimäki 53.1 22.9 28.3 58.2 26.6 28.9 23.6 2.8 17.3 5.7 0.5 3.8 140.6 491 Mikkeli 57.4 26.7 28.6 52.3 25.8 23.7 23.3 3.7 16.0 6.3 0.8 4.0 139.4 507 Mäntyharju 75.4 33.3 39.1 42.5 19.6 20.6 21.7 3.5 14.9 5.2 0.6 3.4 144.9 588 Pertunmaa 46.4 22.6 22.3 63.6 30.8 29.5 29.4 5.4 20.0 8.4 1.0 5.3 147.7 593 Pieksämäki 55.1 21.5 31.3 48.9 24.7 21.2 19.9 2.5 14.0 4.4 0.4 2.7 128.3 618 Punkaharju 62.3 26.8 33.5 59.0 27.7 28.6 22.5 2.8 16.5 5.1 0.4 3.4 148.9 623 Puumala 86.2 34.8 48.0 26.5 11.1 14.0 19.5 2.6 14.2 3.5 0.2 2.1 135.7 681 Rantasalmi 49.8 20.6 27.5 51.5 22.7 25.9 21.8 2.5 16.0 6.8 0.6 4.6 129.8 696 Ristiina 71.3 33.1 35.6 48.6 23.2 22.8 23.2 3.8 16.1 5.9 0.7 3.8 148.9 740 Savonlinna 60.9 26.5 32.3 53.8 24.1 26.9 21.9 2.8 16.0 5.6 0.5 3.7 142.1 768 Sulkava 70.1 30.6 37.0 38.8 17.3 19.3 20.5 2.6 14.7 4.4 0.3 2.9 133.8 Total 60.0 25.9 31.8 51.1 24.5 23.9 21.7 3.1 15.3 5.5 0.6 3.5 138.3 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 201 Table 7c. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha Etelä-Pohjanmaa 005 Alajärvi 73.2 19.2 50.0 14.5 5.4 7.9 13.7 0.9 10.0 1.7 0.2 1.1 103.1 010 Alavus 70.6 20.0 46.6 16.3 5.9 9.3 13.5 1.0 9.8 1.5 0.2 0.9 101.9 052 Evijärvi 54.9 10.3 40.6 16.7 5.2 9.8 19.8 0.8 15.2 3.2 0.4 2.2 94.7 074 Halsua 67.2 14.8 47.1 7.1 2.9 3.6 14.8 0.6 11.2 1.7 0.1 1.4 90.8 095 Himanka 61.4 12.2 45.0 18.4 5.9 10.8 16.8 0.4 13.3 2.4 0.3 1.7 99.0 145 Ilmajoki 56.8 14.3 39.0 27.8 10.5 15.1 14.8 1.0 10.7 1.8 0.2 1.1 101.1 151 Isojoki 62.9 14.6 44.5 25.6 10.6 13.2 13.6 0.8 10.1 1.7 0.1 1.2 103.8 152 Isokyrö 45.4 9.6 32.6 26.8 8.1 16.0 21.5 0.9 15.4 3.5 0.5 2.3 97.1 164 Jalasjärvi 65.5 17.5 44.3 16.8 6.0 9.5 13.0 1.0 9.2 1.9 0.3 1.1 97.1 217 Kannus 57.7 11.1 42.3 14.0 4.4 8.2 18.4 0.6 14.5 1.5 0.1 1.1 91.6 218 Karijoki 60.4 12.0 44.4 31.1 11.9 17.1 12.9 0.6 9.3 1.3 0.1 0.8 105.7 232 Kauhajoki 62.1 12.4 45.5 16.6 6.1 9.4 9.9 0.6 7.1 0.8 0.1 0.5 89.4 233 Kauhava 61.6 12.1 45.1 15.0 4.5 8.8 16.5 0.6 12.5 3.6 0.5 2.6 96.7 236 Kaustinen 60.9 11.8 44.8 14.9 4.5 8.9 17.2 0.5 13.5 2.3 0.2 1.6 95.3 272 Kokkola-Karleby 58.5 11.4 43.0 18.9 6.2 10.9 17.4 0.6 13.5 2.6 0.3 1.8 97.4 300 Kuortane 75.6 22.1 49.7 15.4 6.0 8.2 14.1 0.9 10.1 1.5 0.2 0.8 106.5 301 Kurikka 54.7 12.3 38.8 26.9 9.8 15.0 14.5 0.8 10.3 1.8 0.2 1.1 97.9 399 Laihia 49.2 11.2 35.0 34.0 10.9 20.1 22.9 1.0 16.7 3.6 0.6 2.4 109.7 403 Lappajärvi 65.6 13.9 47.5 16.1 5.0 9.4 17.9 0.8 13.7 3.6 0.4 2.7 103.2 408 Lapua 63.7 13.4 46.2 20.1 6.5 11.7 18.4 0.8 14.1 3.0 0.3 2.2 105.2 421 Lestijärvi 54.9 10.6 40.4 15.2 5.0 8.9 17.0 0.5 12.9 2.7 0.2 1.9 89.8 584 Perho 65.5 13.6 47.4 13.1 4.6 7.4 14.3 0.5 10.9 1.9 0.1 1.3 94.8 743 Seinäjoki 58.0 14.6 39.9 17.6 6.1 9.9 16.2 1.1 11.7 2.4 0.2 1.5 94.2 759 Soini 71.2 18.8 48.7 18.6 7.4 9.9 14.3 1.0 10.6 2.1 0.2 1.5 106.2 846 Teuva 56.6 10.9 41.7 27.9 10.5 15.3 13.2 0.6 9.3 1.6 0.2 1.0 99.3 849 Toholampi 57.1 12.2 40.8 16.1 5.4 9.2 16.4 0.6 12.7 2.0 0.2 1.5 91.5 863 Töysä 79.3 24.5 51.0 18.3 7.4 9.4 12.2 0.8 8.6 1.3 0.1 0.8 111.1 924 Veteli 62.8 12.1 46.4 15.9 5.1 9.3 17.1 0.6 13.4 2.4 0.2 1.7 98.1 934 Vimpeli 63.5 13.1 46.1 17.0 5.9 9.8 17.9 0.6 13.9 2.6 0.2 1.9 101.0 942 Vähäkyrö 33.2 7.9 23.2 33.2 10.0 20.3 27.2 1.2 19.3 6.1 0.4 4.4 99.7 989 Ähtäri 72.2 20.5 48.2 24.1 9.7 12.7 15.6 1.3 11.3 2.4 0.3 1.6 114.3 Total 62.6 14.5 44.1 18.9 6.7 10.6 15.6 0.8 11.6 2.2 0.2 1.5 99.2 Keski-Suomi 077 Hankasalmi 44.6 17.5 25.1 53.6 29.4 21.4 22.5 2.7 15.6 4.4 0.4 2.8 125.2 172 Joutsa 51.2 24.1 25.4 62.6 31.4 28.1 26.0 4.7 18.1 6.8 0.7 4.6 146.7 179 Jyväskylä 44.6 19.2 23.7 59.8 31.9 24.9 21.4 2.9 15.4 5.4 0.6 3.5 131.2 182 Jämsä 51.0 19.4 29.3 50.8 26.5 21.6 17.5 2.1 12.4 4.0 0.4 2.6 123.2 216 Kannonkoski 66.2 19.9 43.5 34.5 15.0 17.4 17.7 1.4 13.1 3.1 0.2 2.3 121.5 226 Karstula 67.7 17.7 46.5 25.6 10.4 13.4 18.4 1.2 14.0 2.4 0.1 1.7 114.0 249 Keuruu 65.3 21.9 40.8 43.7 19.8 21.3 18.4 1.9 13.3 3.5 0.5 2.3 130.8 256 Kinnula 61.6 13.7 44.0 21.5 7.9 12.0 17.9 0.8 13.7 2.5 0.2 1.8 103.5 265 Kivijärvi 66.5 18.5 44.9 27.6 11.7 14.0 16.3 1.1 12.3 2.5 0.2 1.7 112.9 275 Konnevesi 46.4 18.3 26.2 57.8 31.4 23.4 21.9 2.4 16.1 4.5 0.4 2.6 130.6 291 Kuhmoinen 46.8 20.2 24.9 64.7 34.6 27.0 18.0 2.5 12.9 4.8 0.6 3.2 134.3 312 Kyyjärvi 68.5 16.2 48.5 17.2 6.4 9.4 17.0 0.9 13.1 2.1 0.1 1.5 104.8 410 Laukaa 47.1 18.7 26.3 48.9 26.1 20.2 19.4 2.6 13.3 4.2 0.4 2.6 119.5 435 Luhanka 44.3 24.0 18.8 70.5 37.9 29.8 26.4 4.3 19.4 8.7 0.9 5.8 149.9 495 Multia 67.3 19.5 44.9 31.6 14.3 15.3 17.0 1.2 12.7 2.5 0.2 1.7 118.3 500 Muurame 38.3 17.0 20.0 70.3 37.3 29.5 22.0 3.1 16.2 6.2 0.8 4.0 136.8 592 Petäjävesi 51.9 17.0 32.5 44.9 23.1 19.4 17.1 1.7 12.3 3.2 0.3 1.9 117.1 601 Pihtipudas 53.2 10.1 40.1 28.3 8.9 17.1 19.2 0.9 14.7 3.5 0.3 2.2 104.2 729 Saarijärvi 62.0 18.6 40.6 35.8 16.1 17.6 20.0 1.5 15.0 3.1 0.2 2.2 120.9 850 Toivakka 51.5 22.0 27.4 46.3 23.4 20.4 21.7 3.3 15.1 5.5 0.6 3.6 125.0 892 Uurainen 54.6 17.9 34.2 41.2 21.2 17.6 16.9 1.7 12.2 2.8 0.2 1.7 115.5 931 Viitasaari 54.6 15.9 36.0 37.3 15.7 19.2 17.8 1.8 12.7 4.3 0.4 2.6 113.9 992 Äänekoski 54.0 20.6 31.3 52.0 26.9 22.4 18.7 2.3 13.6 3.9 0.4 2.2 128.6 Total 55.6 18.5 34.5 43.7 21.2 20.0 19.3 2.0 14.0 3.9 0.4 2.5 122.4 Pohjois-Savo 140 Iisalmi 29.9 8.0 20.4 47.8 21.8 23.1 24.2 2.3 18.2 5.8 0.5 3.3 107.7 174 Juankoski 40.5 12.9 25.7 51.7 25.5 23.5 20.5 2.2 15.0 5.6 0.4 3.3 118.3 204 Kaavi 54.1 16.9 34.7 44.8 20.5 21.7 17.5 1.6 12.5 3.3 0.2 2.0 119.7 227 Karttula 46.1 18.0 26.2 55.8 28.9 23.8 22.3 2.8 16.0 5.3 0.5 3.3 129.5 239 Keitele 49.2 15.4 31.5 45.7 21.7 21.3 19.9 2.0 14.1 3.0 0.2 1.8 117.9 263 Kiuruvesi 38.3 9.7 26.7 33.1 11.7 18.6 24.1 1.4 18.5 4.7 0.3 2.9 100.1 297 Kuopio 38.2 15.0 21.9 68.3 36.9 28.6 23.3 3.6 16.8 8.9 0.7 5.1 138.7 402 Lapinlahti 32.7 8.8 22.3 52.6 24.3 25.2 24.7 2.4 18.7 5.3 0.4 2.9 115.2 420 Leppävirta 41.0 16.0 23.5 72.4 37.9 31.1 24.2 3.4 17.8 6.6 0.4 3.8 144.1 476 Maaninka 32.0 10.1 20.5 60.4 29.6 27.6 24.0 2.7 17.8 5.7 0.5 3.3 122.0 534 Nilsiä 36.8 11.6 23.5 56.8 28.2 25.7 20.8 2.3 15.4 5.4 0.4 3.1 119.8 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 202 Table 7c. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 595 Pielavesi 43.7 13.1 28.5 47.2 20.1 24.0 23.7 2.3 17.7 4.5 0.4 2.7 119.2 686 Rautalampi 49.7 20.3 27.4 49.9 24.4 22.5 22.3 3.1 15.9 5.1 0.4 3.1 127.0 687 Rautavaara 59.2 16.0 40.2 30.1 11.9 16.0 16.3 1.1 11.8 2.1 0.1 1.3 107.7 749 Siilinjärvi 27.7 9.2 17.3 62.6 32.8 26.9 21.9 2.4 16.4 6.5 0.4 3.6 118.6 762 Sonkajärvi 51.4 12.9 35.8 27.7 10.7 14.7 18.2 1.1 13.4 2.9 0.2 1.8 100.2 778 Suonenjoki 52.4 20.7 29.4 53.7 28.2 22.6 20.3 2.6 14.4 4.5 0.4 2.7 130.9 844 Tervo 41.9 17.0 23.1 50.0 24.3 22.7 24.7 3.3 17.7 5.5 0.4 3.4 122.1 857 Tuusniemi 36.4 13.6 21.5 66.6 33.9 29.5 23.5 3.2 17.3 7.2 0.4 4.3 133.7 915 Varkaus 47.4 19.5 26.4 68.3 35.0 30.0 25.3 3.7 18.7 6.6 0.4 4.1 147.6 916 Varpaisjärvi 39.6 11.9 25.8 44.1 20.1 21.3 20.1 1.9 14.9 4.8 0.4 2.8 108.4 921 Vesanto 48.1 18.0 28.2 49.8 25.1 22.0 20.9 2.7 14.9 4.4 0.4 2.6 123.2 925 Vieremä 45.4 11.8 31.3 29.4 10.9 16.1 21.3 1.4 15.9 3.8 0.3 2.3 99.9 Total 43.7 14.0 27.7 48.5 23.0 22.7 21.7 2.3 15.9 4.9 0.4 2.9 118.8 Pohjois-Karjala 146 Ilomantsi 70.2 21.6 44.9 21.7 9.8 10.2 14.3 1.3 9.8 2.0 0.1 0.9 108.1 167 Joensuu 55.0 20.6 32.1 43.6 21.8 19.4 19.5 2.7 13.3 3.5 0.2 1.8 121.5 176 Juuka 63.0 21.0 39.1 30.6 13.8 14.7 17.3 1.9 11.8 2.3 0.1 1.2 113.1 248 Kesälahti 63.4 26.8 34.4 39.8 18.4 19.5 21.3 2.5 15.3 4.3 0.2 2.6 128.8 260 Kitee 51.6 21.2 28.4 47.2 23.4 21.5 22.3 2.7 15.8 4.5 0.2 2.6 125.6 276 Kontiolahti 59.0 24.2 32.5 35.2 16.7 16.4 20.0 2.4 14.1 3.6 0.2 2.0 117.9 309 Outokumpu 61.2 24.6 34.2 37.2 16.4 18.4 19.8 2.3 14.7 4.9 0.3 3.1 123.1 422 Lieksa 66.2 22.1 40.6 19.6 8.2 9.8 14.8 1.4 10.0 2.2 0.1 1.0 102.7 426 Liperi 57.8 24.8 31.0 42.7 20.0 20.3 20.3 2.5 15.0 5.1 0.4 3.2 125.9 541 Nurmes 54.1 15.0 36.3 29.3 12.4 14.7 18.6 1.5 12.9 2.4 0.1 1.4 104.4 607 Polvijärvi 63.6 25.1 35.9 27.7 11.6 14.1 20.8 2.3 15.0 3.8 0.3 2.3 115.9 707 Rääkkylä 54.2 23.8 28.5 51.3 25.3 23.6 26.5 2.9 20.2 6.8 0.4 4.3 138.8 848 Tohmajärvi 56.9 20.1 34.5 44.1 21.6 20.2 18.6 2.4 12.7 2.9 0.2 1.6 122.5 911 Valtimo 49.4 12.2 34.6 30.2 10.9 16.7 19.3 1.1 14.3 2.7 0.2 1.7 101.6 Total 60.7 21.0 36.8 31.6 14.5 15.1 17.9 1.9 12.5 3.0 0.2 1.6 113.2 Kainuu 105 Hyrynsalmi 51.4 14.6 33.8 19.1 6.3 11.2 14.9 0.2 10.7 1.4 0.1 0.9 86.9 205 Kajaani 57.5 13.2 40.9 14.1 4.6 8.0 17.5 0.4 12.9 1.8 0.1 1.2 90.9 290 Kuhmo 59.7 19.2 36.7 14.3 4.1 8.7 11.9 0.4 8.0 0.9 0.0 0.5 86.8 578 Paltamo 54.5 15.1 36.6 25.2 10.0 13.4 17.3 0.5 12.8 2.3 0.1 1.4 99.3 620 Puolanka 46.2 9.9 33.3 16.9 5.0 10.3 14.4 0.2 10.4 1.4 0.1 1.1 78.9 697 Ristijärvi 52.2 14.0 35.0 21.6 7.5 12.3 15.4 0.3 10.8 1.4 0.1 0.8 90.6 765 Sotkamo 55.0 14.4 37.5 22.9 7.9 13.0 16.5 0.6 12.0 2.0 0.1 1.4 96.5 777 Suomussalmi 49.1 12.9 32.7 14.0 3.5 9.1 10.3 0.1 7.2 1.1 0.1 0.7 74.5 785 Vaala 54.8 9.7 40.7 7.4 2.0 4.7 15.2 0.1 11.8 0.8 0.1 0.6 78.1 Total 53.5 14.3 35.8 16.5 5.1 9.8 13.7 0.3 9.8 1.4 0.1 0.9 85.1 Pohjois-Pohjanmaa 009 Alavieska 53.0 8.8 40.1 15.7 4.3 9.9 16.0 0.3 12.6 2.6 0.3 1.7 87.3 069 Haapajärvi 51.4 10.1 38.1 25.1 7.9 15.2 21.7 0.8 17.2 3.7 0.3 2.6 101.9 071 Haapavesi 49.8 9.4 37.2 17.7 5.2 10.9 21.9 0.7 17.4 3.0 0.2 2.1 92.4 072 Hailuoto 44.5 10.5 30.7 9.0 2.7 5.4 12.5 0.1 9.7 2.0 0.1 1.4 68.0 084 Haukipudas 56.4 12.7 39.8 15.2 4.8 9.2 13.7 0.1 10.7 1.8 0.2 1.2 87.1 139 Ii 50.9 10.3 37.1 14.8 4.1 9.2 14.2 0.1 10.6 1.5 0.1 1.0 81.5 208 Kalajoki 52.1 7.8 39.8 12.1 2.9 7.9 17.5 0.3 14.0 2.0 0.1 1.3 83.7 244 Kempele 51.8 11.0 36.8 14.1 4.1 8.8 19.1 0.2 15.0 2.3 0.1 1.5 87.3 255 Kiiminki 62.7 13.7 44.4 17.5 5.9 10.2 13.6 0.1 10.7 1.7 0.1 1.3 95.5 305 Kuusamo 45.3 10.6 31.8 17.7 4.4 11.7 9.2 0.1 6.6 0.9 0.0 0.5 73.1 317 Kärsämäki 53.1 9.6 40.0 21.1 6.8 12.5 23.1 0.6 18.3 3.0 0.2 2.1 100.3 425 Liminka 48.7 8.5 36.0 8.3 1.9 5.4 20.0 0.2 15.6 2.1 0.1 1.5 79.0 436 Lumijoki 44.8 9.3 32.0 10.3 2.7 6.5 20.9 0.3 16.4 2.7 0.1 1.8 78.6 483 Merijärvi 47.9 8.4 36.0 17.3 4.4 10.9 17.6 0.4 13.8 2.5 0.3 1.7 85.2 494 Muhos 53.8 10.0 39.4 7.6 2.2 4.8 13.7 0.1 10.6 1.1 0.1 0.8 76.1 535 Nivala 49.8 10.2 36.5 23.3 7.5 14.0 19.7 0.8 15.5 4.0 0.4 2.6 96.9 563 Oulainen 45.4 8.6 33.7 17.5 4.8 10.8 17.6 0.5 14.0 2.9 0.3 2.1 83.5 564 Oulu 62.6 12.9 45.0 13.7 4.0 8.5 13.4 0.1 10.5 1.2 0.1 0.9 90.9 567 Oulunsalo 50.2 11.6 35.2 14.0 4.0 8.7 17.4 0.2 13.5 2.4 0.2 1.4 83.9 615 Pudasjärvi 50.1 8.4 37.9 11.2 2.4 7.6 10.1 0.1 7.3 0.6 0.0 0.5 72.0 625 Pyhäjoki 49.1 7.8 37.1 13.6 3.4 8.7 18.2 0.4 14.7 2.3 0.2 1.6 83.2 626 Pyhäsalmi 48.4 9.7 35.7 25.2 7.6 15.4 22.0 0.8 17.6 3.2 0.2 2.3 98.8 630 Pyhäntä 57.5 10.5 42.5 11.3 3.2 7.1 17.6 0.2 13.6 1.4 0.1 1.1 87.8 678 Raahe 53.8 11.5 38.4 13.3 4.2 8.0 17.5 0.2 13.6 2.3 0.2 1.6 86.9 691 Reisjärvi 53.8 9.3 40.5 20.6 6.5 12.3 20.6 0.7 16.3 3.1 0.2 2.1 98.1 746 Sievi 53.9 8.9 40.9 14.5 4.3 8.8 18.4 0.5 14.6 2.4 0.2 1.6 89.3 748 Siikajoki 50.1 9.5 36.6 8.8 2.3 5.6 17.6 0.2 13.6 1.9 0.1 1.4 78.4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 203 Table 7c. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality m3/ha 791 Siikalatva 56.2 9.7 42.0 10.3 2.7 6.6 20.4 0.2 15.8 1.7 0.1 1.3 88.5 832 Taivalkoski 48.5 11.0 34.7 17.3 4.6 11.3 9.5 0.1 6.9 1.2 0.0 0.9 76.5 859 Tyrnävä 52.3 9.3 38.5 7.8 2.0 5.0 16.3 0.1 12.6 1.5 0.1 1.1 77.8 889 Utajärvi 58.9 10.6 43.7 7.8 2.0 5.0 12.8 0.1 9.9 0.6 0.0 0.4 80.1 926 Vihanti 51.1 10.3 37.1 13.4 3.8 8.4 18.7 0.3 14.7 2.2 0.1 1.6 85.4 972 Yli-Ii 55.5 10.4 41.0 11.3 2.9 7.3 13.5 0.1 10.0 1.0 0.0 0.7 81.2 977 Ylivieska 50.4 9.8 37.1 17.5 5.0 10.8 19.5 0.6 15.5 3.2 0.3 2.1 90.6 Total 51.3 9.9 37.7 14.6 4.0 9.3 14.9 0.2 11.5 1.7 0.1 1.2 82.5 Lapland 047 Enontekiö 46.1 9.4 34.5 3.3 0.9 2.2 8.8 0.0 3.9 0.2 0.0 0.0 58.4 148 Inari 58.4 9.9 45.1 1.6 0.5 1.1 4.5 0.0 2.2 0.1 0.0 0.0 64.6 240 Kemi 15.0 2.2 11.0 43.5 12.9 26.5 21.8 0.1 16.9 7.0 0.1 5.4 87.3 241 Keminmaa 21.8 3.3 16.6 36.6 8.2 24.1 26.3 0.2 21.1 4.0 0.1 2.9 88.7 261 Kittilä 38.6 8.0 28.2 11.1 2.9 7.2 9.8 0.0 7.2 0.4 0.1 0.2 59.9 273 Kolari 49.5 13.9 32.4 9.4 1.4 6.7 8.8 0.1 6.0 0.7 0.0 0.4 68.4 320 Kemijärvi 49.0 10.0 35.6 8.4 1.5 5.9 8.7 0.1 5.9 0.2 0.0 0.1 66.3 498 Muonio 45.7 9.8 33.6 10.3 2.5 6.9 5.9 0.0 3.5 0.5 0.0 0.3 62.3 583 Pelkosenniemi 35.1 6.1 26.4 12.7 2.4 9.0 13.7 0.0 9.1 0.4 0.0 0.2 61.9 614 Posio 46.4 9.7 33.7 11.3 2.7 7.6 6.2 0.1 4.4 0.5 0.0 0.3 64.5 683 Ranua 43.5 6.8 33.2 10.7 1.9 7.4 9.6 0.1 6.7 0.6 0.0 0.4 64.4 698 Rovaniemi 45.6 9.6 32.7 10.1 1.9 6.8 9.0 0.0 6.4 0.6 0.0 0.4 65.3 732 Salla 34.8 6.2 26.3 15.4 3.8 10.4 10.1 0.0 6.7 0.4 0.0 0.2 60.7 742 Savukoski 38.9 7.7 28.6 8.4 1.9 5.7 6.5 0.0 4.4 0.2 0.0 0.1 53.9 751 Simo 39.1 6.1 29.9 17.4 4.4 11.0 16.2 0.1 12.0 2.0 0.1 1.4 74.8 758 Sodankylä 35.9 7.7 25.7 9.8 2.2 6.7 7.7 0.0 5.2 0.3 0.0 0.1 53.6 845 Tervola 29.9 4.7 22.7 24.8 4.8 17.0 22.7 0.2 17.5 1.9 0.0 1.3 79.3 851 Tornio 19.2 2.9 14.4 36.8 7.4 25.4 25.8 0.1 20.2 4.5 0.0 3.6 86.2 854 Pello 40.4 9.9 27.3 12.6 2.8 8.4 12.3 0.2 8.7 1.9 0.1 1.1 67.1 890 Utsjoki 37.6 1.3 31.8 2.3 0.4 1.7 9.9 0.0 2.2 0.0 0.0 0.0 49.9 976 Ylitornio 35.6 6.7 25.5 13.1 1.9 9.1 12.7 0.0 9.0 0.7 0.0 0.5 62.1 Total 48.2 8.9 36.2 7.0 1.6 4.8 7.6 0.0 4.8 0.4 0.0 0.2 63.2 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 204 Table 7d. The growing stock volume by tree species and roundwood assortment on forest land available for wood supply by forestry centres. Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality Åland 035 Brändö 134 29 95 49 14 30 79 4 49 91 4 74 353 043 Eckerö 459 131 305 197 67 115 147 12 109 78 2 61 881 060 Finström 479 139 317 239 82 139 181 15 133 115 4 91 1 015 062 Föglö 515 125 363 185 59 112 131 8 97 82 3 67 913 065 Geta 254 67 173 94 31 56 62 4 46 31 1 25 441 076 Hammarland 555 156 371 250 84 147 195 16 144 104 3 84 1 104 170 Jomala 547 161 359 264 92 152 189 16 138 120 3 95 1 120 295 Kumlinge 163 32 121 26 7 16 52 2 30 52 3 42 292 318 Kökar 3 1 2 3 1 3 5 0 2 28 0 18 39 417 Lemland 471 133 314 239 80 140 182 14 135 103 3 83 995 438 Lumparland 155 42 105 62 21 36 40 3 30 22 1 18 279 478 Mariehamn-Maarianhamina 21 5 15 9 3 5 10 1 7 9 0 7 49 736 Saltvik 536 146 363 208 71 122 125 9 93 64 2 52 933 766 Sottunga 43 10 31 14 4 9 14 1 9 12 0 10 82 771 Sund 430 118 290 178 60 105 116 9 87 60 2 47 784 941 Vårdö 325 84 225 119 39 71 69 4 52 30 1 25 543 Total 5 090 1 378 3 451 2 135 715 1 255 1 597 116 1 160 1 001 33 796 9 822 Rannikko/Etelärannikko 049 Espoo-Esbo 781 303 451 929 440 436 381 78 262 153 25 101 2 245 078 Hanko-Hangö 458 181 263 376 166 190 102 14 74 30 5 21 967 091 Helsinki-Helsingfors 347 145 191 402 196 181 197 39 136 92 14 65 1 038 092 Vantaa-Vanda 358 144 201 576 268 273 328 66 225 148 22 100 1 411 149 Ingå-Inkoo 1 200 458 698 984 432 492 336 60 233 130 26 87 2 651 235 Kauniainen-Grankulla 11 4 6 11 5 5 5 1 3 2 0 1 28 257 Kirkkonummi-Kyrkslätt 1 037 386 611 917 410 449 359 65 250 141 25 93 2 454 322 Kemiönsaari 2 723 1 047 1 597 1 547 664 801 422 58 307 142 25 101 4 834 407 Lapinjärvi-Lappträsk 919 367 519 1 560 684 790 459 85 320 124 30 74 3 062 424 Liljendal 313 124 178 484 212 245 139 27 96 37 9 22 973 434 Loviisa-Lovisa 190 73 110 219 100 107 56 11 40 14 3 10 480 444 Länsi-Turunmaa 3 274 1 201 1 968 1 609 628 881 584 70 424 271 49 190 5 738 585 Pernå-Pernaja 1 484 577 854 2 042 914 1 016 607 116 424 176 40 111 4 309 638 Porvoo-Borgå 2 124 822 1 227 2 805 1 255 1 394 854 169 593 286 62 183 6 069 701 Ruotsinpyhtää-Strömfors 970 375 558 1 332 574 680 474 85 333 121 28 75 2 896 710 Raasepori 4 762 1 875 2 744 3 956 1 787 1 965 1 095 169 785 351 67 239 10 164 753 Sipoo-Sibbo 934 378 523 1 566 759 726 492 100 340 198 37 130 3 190 755 Siuntio-Sjundeå 572 220 330 649 281 327 267 46 185 111 22 68 1 600 Total 22 456 8 679 13 031 21 964 9 775 10 958 7 160 1 259 5 029 2 528 492 1 672 54 108 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 20 4 14 20 6 12 18 1 13 3 0 2 60 280 Korsnäs 657 162 458 704 212 433 446 19 321 81 8 59 1 888 287 Kristinestad-Kristiinankaupunki 2 716 639 1 917 1 846 726 986 762 41 553 130 9 88 5 454 288 Kronoby-Kruunupyy 2 861 556 2 117 1 194 380 706 1 054 37 827 142 17 98 5 251 440 Larsmo-Luoto 469 79 355 264 89 153 205 7 153 53 8 36 992 475 Malax-Maalahti 1 390 324 985 1 396 427 854 930 37 673 177 14 131 3 894 499 Korsholm-Mustasaari 2 071 423 1 540 2 787 963 1 624 1 533 56 1 148 360 16 279 6 750 545 Närpes-Närpiö 3 214 747 2 278 2 449 856 1 400 1 175 53 844 140 16 91 6 977 559 Oravais-Oravainen 540 103 403 416 123 252 357 14 264 55 6 37 1 368 598 Jakobstad-Pietarsaari 253 46 190 136 36 85 140 4 108 20 2 14 548 599 Pedersöre-Pedersören kunta 3 048 561 2 283 1 349 400 821 1 253 40 985 141 16 96 5 791 893 Nykarleby-Uusikaarlepyy 2 617 515 1 946 1 370 409 833 1 166 48 879 154 21 100 5 307 905 Vaasa-Vasa 390 87 284 655 229 385 338 13 253 81 3 62 1 464 945 Vörå-Maxmo Vöyri-Maksamaa 1 458 308 1 062 1 420 455 846 1 008 43 730 186 16 134 4 072 Total 21 702 4 553 15 832 16 006 5 310 9 391 10 386 412 7 751 1 723 154 1 226 49 816 Lounais-Suomi 019 Aura 258 101 148 197 85 100 67 8 48 27 5 19 549 050 Eura 2 266 881 1 314 1 680 661 898 682 66 497 191 26 150 4 819 051 Eurajoki 1 213 420 756 1 189 468 627 459 35 328 92 8 68 2 953 079 Harjavalta 400 131 254 393 160 205 165 15 120 23 2 18 982 099 Honkajoki 1 338 336 927 238 90 129 258 17 189 29 2 17 1 864 102 Huittinen 1 391 491 849 1 587 694 798 574 65 409 101 15 73 3 653 181 Jämijärvi 617 183 403 431 194 205 226 16 167 43 4 29 1 317 202 Kaarina 446 168 263 283 115 151 113 13 81 57 10 40 899 214 Kankaanpää 2 670 754 1 777 1 197 553 564 682 44 502 135 12 93 4 685 230 Karvia 2 070 524 1 428 372 131 212 366 24 265 42 4 25 2 850 254 Kiikoinen 504 174 309 497 223 244 170 15 125 23 1 17 1 194 271 Kokemäki 1 634 551 1 016 1 453 640 723 600 58 437 107 6 88 3 794 284 Koski T.l. 480 217 249 502 242 238 194 21 139 43 10 26 1 219 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 205 Table 7d. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 304 Kustavi 594 208 366 213 76 123 91 10 66 43 7 30 940 319 Köyliö 1 060 415 616 533 237 263 184 17 130 33 4 26 1 810 400 Laitila 2 036 769 1 206 1 179 438 651 462 51 339 118 21 89 3 796 413 Lavia 1 435 497 883 1 103 496 539 403 38 303 64 4 48 3 006 423 Lieto 596 234 344 386 166 198 122 16 87 46 8 33 1 150 430 Loimaa 1 948 852 1 039 2 097 1 028 971 673 78 487 167 46 104 4 885 442 Luvia 852 277 551 672 258 371 318 24 249 66 9 48 1 907 480 Marttila 557 213 325 455 196 233 167 21 120 58 12 41 1 238 481 Masku 615 227 368 335 133 180 126 14 90 54 9 39 1 129 484 Merikarvia 1 852 540 1 221 1 562 733 734 564 35 422 163 12 116 4 142 503 Mynämäki 2 016 736 1 210 1 185 465 643 488 59 354 144 27 101 3 833 529 Naantali 1 062 382 646 446 171 246 163 18 118 80 13 57 1 751 531 Nakkila 518 159 339 545 217 290 230 19 170 44 5 33 1 337 537 Noormarkku 1 341 473 818 1 434 648 706 503 49 370 99 13 71 3 377 538 Nousiainen 729 277 429 460 193 240 149 18 108 48 9 34 1 386 561 Oripää 351 131 208 239 102 124 88 11 63 24 4 17 702 577 Paimio 818 316 479 521 224 268 161 21 116 59 11 42 1 560 608 Pomarkku 1 284 475 758 1 527 760 694 418 45 303 77 7 57 3 305 609 Pori 1 547 544 957 1 432 572 769 651 62 490 151 24 105 3 781 631 Pyhäranta 647 242 386 466 176 260 184 21 140 62 4 50 1 358 636 Pöytyä 2 819 1 054 1 670 1 930 808 1 010 705 89 513 207 43 143 5 660 680 Raisio 134 50 80 71 28 38 30 3 22 15 2 11 251 684 Rauma 2 015 767 1 188 1 365 550 724 536 48 403 174 13 134 4 090 704 Rusko 447 168 265 285 118 151 101 13 74 34 6 24 867 734 Salo 7 187 2 830 4 143 5 842 2 625 2 911 1 770 235 1 273 615 123 426 15 414 738 Sauvo 904 338 537 543 222 289 186 23 135 75 14 52 1 707 747 Siikainen 2 045 582 1 362 1 427 683 656 602 36 447 153 12 107 4 227 761 Somero 1 715 684 972 2 190 1 040 1 037 707 90 495 142 25 95 4 754 783 Säkylä 559 225 316 350 153 175 138 14 100 46 8 35 1 093 833 Taivassalo 473 166 292 189 70 106 78 8 56 37 6 27 777 838 Tarvasjoki 276 107 160 213 91 110 70 9 50 28 6 19 587 853 Turku-Åbo 618 232 367 380 154 201 162 19 115 77 12 55 1 237 886 Ulvila 1 504 500 941 1 586 679 804 611 60 445 107 11 80 3 809 895 Uusikaupunki 2 022 720 1 232 919 341 513 416 44 299 166 27 118 3 523 918 Vehmaa 649 232 394 296 110 165 134 15 96 55 9 39 1 135 Total 60 511 21 552 36 761 44 398 19 218 22 489 16 949 1 729 12 357 4 448 669 3 172 126 306 Häme-Uusimaa 015 Artjärvi 384 153 217 730 337 356 204 36 140 73 15 44 1 390 016 Asikkala 1 761 784 915 3 124 1 552 1 421 1 014 180 705 323 43 217 6 222 018 Askola 462 189 256 947 428 470 278 56 189 97 23 57 1 784 061 Forssa 520 253 249 1 213 629 533 308 43 221 70 11 48 2 111 081 Hartola 1 823 921 845 3 500 1 818 1 539 1 143 200 806 303 32 206 6 769 082 Hattula 1 039 448 556 1 441 648 706 566 96 395 188 33 118 3 233 086 Hausjärvi 778 369 378 1 433 670 696 354 53 241 108 14 71 2 673 098 Hollola 1 074 513 525 2 376 1 201 1 067 583 79 411 210 28 136 4 243 103 Humppila 362 160 192 662 342 297 135 13 99 42 7 28 1 201 106 Hyvinkää 779 348 400 1 486 709 709 405 66 280 125 17 82 2 796 109 Hämeenlinna 5 187 2 388 2 623 10 164 4 935 4 738 2 726 437 1 912 721 123 466 18 799 111 Heinola 3 174 1 537 1 527 3 326 1 708 1 460 1 383 260 944 383 52 249 8 266 165 Janakkala 1 391 645 700 2 631 1 270 1 233 711 122 492 237 38 155 4 971 169 Jokioinen 254 105 140 674 341 307 151 17 110 49 4 37 1 128 186 Järvenpää 41 17 22 79 35 39 38 7 26 20 3 13 176 223 Karjalohja 342 125 202 324 139 164 175 28 122 66 12 42 907 224 Karkkila 807 319 459 1 157 531 562 378 70 261 132 29 80 2 474 245 Kerava 46 19 26 71 32 35 38 7 26 18 3 12 174 283 Hämeenkoski 357 171 174 1 019 495 477 243 31 171 81 11 52 1 701 316 Kärkölä 424 188 218 1 122 527 541 272 37 183 84 10 53 1 901 398 Lahti 251 107 136 449 237 190 144 20 100 62 7 40 906 433 Loppi 1 936 840 1 029 2 907 1 397 1 360 848 153 581 271 47 170 5 962 444 Lohja 819 311 475 945 413 473 449 74 308 198 34 123 2 412 504 Myrskylä-Mörskom 503 203 282 956 414 489 310 58 214 101 25 59 1 871 505 Mäntsälä 1 207 548 608 3 154 1 503 1 516 677 106 461 191 28 122 5 228 532 Nastola 1 015 451 526 1 402 694 640 523 84 365 182 24 119 3 122 540 Nummi-Pusula 1 518 573 887 1 542 672 776 661 108 459 227 45 139 3 948 543 Nurmijärvi 594 239 332 961 434 468 429 74 293 203 32 125 2 187 560 Orimattila 1 360 614 696 2 426 1 185 1 118 631 91 435 214 30 138 4 631 576 Padasjoki 1 921 855 1 002 3 187 1 508 1 511 882 164 608 267 53 169 6 258 611 Pornainen 329 130 186 602 268 300 217 41 150 87 19 54 1 234 616 Pukkila 254 102 142 525 226 269 187 33 130 72 16 42 1 037 694 Riihimäki 223 100 114 504 249 232 143 24 98 56 8 36 926 781 Sysmä 2 455 1 391 991 4 055 2 188 1 712 1 411 278 981 479 57 335 8 399 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 206 Table 7d. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 834 Tammela 2 174 879 1 218 2 960 1 426 1 370 999 158 713 128 24 88 6 261 858 Tuusula 335 137 185 698 318 340 304 55 210 146 24 94 1 483 927 Vihti 1 325 509 766 1 817 808 903 705 127 486 281 55 172 4 128 981 Ypäjä 323 133 181 724 367 329 158 16 118 48 6 35 1 254 Total 39 546 17 772 20 377 67 294 32 656 31 345 20 783 3 502 14 446 6 543 1 042 4 225 134 166 Kaakkois-Suomi 075 Hamina 2 726 1 018 1 596 2 105 968 1 022 726 82 533 170 27 116 5 726 142 Iitti 1 964 892 1 004 3 008 1 568 1 307 974 177 681 264 41 167 6 210 153 Imatra 494 214 266 688 324 334 225 32 166 65 6 43 1 471 285 Kotka 1 041 420 580 695 295 355 295 35 214 74 7 51 2 104 286 Kouvola 11 583 5 107 6 046 9 756 4 904 4 350 3 511 546 2 439 837 121 538 25 686 405 Lappeenranta 4 170 1 690 2 328 3 917 1 905 1 820 1 321 163 964 358 45 240 9 765 416 Lemi 979 401 539 796 378 377 302 42 213 67 7 45 2 144 441 Luumäki 3 839 1 474 2 208 2 933 1 413 1 364 1 046 120 765 214 33 145 8 032 489 Miehikkälä 1 948 665 1 203 1 738 806 845 529 55 392 117 20 82 4 332 580 Parikkala 2 133 850 1 210 2 469 1 089 1 263 1 059 126 790 281 19 191 5 942 624 Pyhtää-Pyttis 1 069 417 610 1 228 525 631 469 83 332 123 30 77 2 890 689 Rautjärvi 1 350 565 745 1 902 842 965 725 94 536 201 18 136 4 178 700 Ruokolahti 5 734 2 477 3 062 3 619 1 677 1 762 1 632 212 1 189 359 32 235 11 345 739 Savitaipale 3 167 1 292 1 742 1 447 632 728 770 107 536 137 11 88 5 522 775 Suomenniemi 2 022 847 1 091 828 356 421 422 64 290 86 6 55 3 358 831 Taipalsaari 2 055 849 1 121 789 327 420 501 79 349 91 7 56 3 436 935 Virolahti 1 540 526 949 1 380 601 707 401 40 297 91 16 63 3 411 978 Ylämaa 1 934 692 1 167 1 721 831 804 531 55 397 114 20 78 4 300 Total 49 748 20 397 27 467 41 018 19 443 19 476 15 437 2 113 11 083 3 649 467 2 407 109 852 Pirkanmaa 020 Akaa 182 86 89 344 159 165 138 20 97 32 5 21 696 108 Hämeenkyrö 1 245 468 730 1 761 812 846 785 98 572 162 23 109 3 953 143 Ikaalinen 3 054 1 049 1 881 2 587 1 193 1 235 1 093 115 790 222 27 149 6 956 177 Juupajoki 992 418 540 1 315 665 584 401 53 290 81 12 54 2 788 211 Kangasala 1 336 629 669 2 085 1 015 951 811 142 583 203 31 141 4 435 250 Kihniö 2 054 535 1 415 613 222 334 469 30 340 57 9 35 3 194 289 Kuhmalahti 538 235 284 805 363 395 267 47 184 83 15 52 1 694 310 Kylmäkoski 456 210 230 829 398 391 251 38 178 55 10 39 1 592 418 Lempäälä 550 249 286 1 351 676 599 481 101 331 142 18 104 2 524 508 Mänttä-Vilppula 2 217 872 1 267 3 088 1 540 1 389 1 023 138 736 262 32 183 6 590 536 Nokia 737 353 366 1 239 595 578 506 92 356 131 25 89 2 614 562 Orivesi 3 026 1 297 1 627 4 535 2 287 2 023 1 398 200 1 008 302 46 202 9 261 581 Parkano 4 435 1 229 2 982 1 593 640 820 1 010 66 740 155 17 102 7 193 604 Pirkkala 144 64 76 371 182 169 145 32 99 49 7 35 708 619 Punkalaidun 1 102 534 535 1 335 673 602 374 37 270 93 24 58 2 904 635 Pälkäne 1 566 733 781 3 677 1 783 1 728 951 182 658 337 57 225 6 530 702 Ruovesi 3 234 1 266 1 853 4 065 2 027 1 837 1 202 159 870 280 35 193 8 781 790 Sastamala 4 416 1 503 2 735 4 926 2 311 2 329 1 773 230 1 266 301 36 213 11 416 837 Tampere 1 800 774 968 2 846 1 416 1 287 951 152 685 210 31 142 5 807 887 Urjala 1 391 644 706 2 268 1 128 1 043 654 75 474 169 37 109 4 481 908 Valkeakoski 511 249 246 1 070 512 499 402 82 277 121 24 82 2 105 922 Vesilahti 730 372 337 1 270 657 553 359 64 250 62 14 42 2 421 936 Virrat 6 300 1 912 4 073 3 445 1 445 1 762 1 436 108 1 056 232 33 147 11 413 980 Ylöjärvi 5 213 1 892 3 128 4 881 2 275 2 325 1 811 220 1 316 353 46 241 12 257 Total 47 230 17 571 27 804 52 301 24 975 24 446 18 690 2 480 13 425 4 092 616 2 767 122 313 Etelä-Savo 046 Enonkoski 1 094 478 582 1 373 618 684 471 59 348 151 14 101 3 089 090 Heinävesi 4 157 1 593 2 433 5 375 2 436 2 637 1 812 223 1 359 493 29 333 11 838 097 Hirvensalmi 1 955 1 002 892 2 021 985 939 1 027 199 697 342 44 220 5 345 171 Joroinen 2 420 973 1 356 2 581 1 376 1 072 894 99 625 206 21 124 6 100 178 Juva 5 810 2 554 3 032 4 969 2 485 2 214 1 848 267 1 265 435 55 278 13 063 213 Kangasniemi 4 742 2 125 2 421 4 581 2 368 1 974 1 811 272 1 209 475 53 301 11 609 246 Kerimäki 2 394 1 034 1 278 2 627 1 198 1 302 1 064 127 779 259 23 172 6 344 491 Mikkeli 7 573 3 519 3 770 6 910 3 400 3 131 3 082 484 2 111 834 107 532 18 398 507 Mäntyharju 6 114 2 704 3 171 3 447 1 586 1 672 1 763 280 1 210 425 47 273 11 749 588 Pertunmaa 1 412 687 678 1 933 935 899 893 164 607 254 31 162 4 492 593 Pieksämäki 7 346 2 859 4 170 6 510 3 293 2 820 2 651 331 1 866 589 51 364 17 096 618 Punkaharju 2 382 1 024 1 281 2 254 1 058 1 095 861 107 631 195 16 131 5 692 623 Puumala 5 761 2 325 3 210 1 770 744 936 1 306 175 949 233 12 138 9 070 681 Rantasalmi 2 050 848 1 133 2 120 934 1 065 897 103 658 278 25 189 5 345 696 Ristiina 3 271 1 518 1 632 2 230 1 066 1 047 1 065 175 738 270 32 174 6 835 740 Savonlinna 5 918 2 578 3 140 5 230 2 343 2 617 2 124 271 1 550 541 44 360 13 813 768 Sulkava 3 460 1 509 1 824 1 912 854 952 1 010 128 725 217 16 141 6 600 Total 67 859 29 329 36 003 57 844 27 678 27 055 24 579 3 464 17 326 6 196 620 3 993 156 479 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 207 Table 7d. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 Etelä-Pohjanmaa 005 Alajärvi 5 475 1 432 3 744 1 085 404 591 1 026 69 748 129 14 83 7 715 010 Alavus 3 823 1 082 2 521 884 321 503 733 55 529 79 9 46 5 518 052 Evijärvi 1 288 242 952 392 123 229 465 18 357 76 10 53 2 220 074 Halsua 1 787 393 1 253 190 77 95 392 16 299 46 2 38 2 415 095 Himanka 1 103 219 808 330 107 194 303 8 239 44 5 31 1 780 145 Ilmajoki 1 910 480 1 311 933 352 506 498 34 361 59 6 38 3 399 151 Isojoki 2 727 633 1 927 1 108 459 570 590 36 436 73 6 50 4 499 152 Isokyrö 862 182 619 509 154 304 408 17 292 66 10 44 1 845 164 Jalasjärvi 3 260 870 2 207 835 300 471 648 50 460 93 13 54 4 836 217 Kannus 1 851 357 1 357 450 141 265 590 18 464 49 4 37 2 940 218 Karijoki 740 147 544 380 146 209 158 7 114 16 2 10 1 294 232 Kauhajoki 4 845 968 3 549 1 296 474 734 771 45 555 61 5 39 6 973 233 Kauhava 4 615 910 3 383 1 123 336 661 1 238 47 937 269 35 194 7 245 236 Kaustinen 1 395 270 1 027 341 102 204 393 12 308 52 5 37 2 181 272 Kokkola-Karleby 5 444 1 055 3 998 1 753 576 1 016 1 619 54 1 254 243 28 171 9 059 300 Kuortane 2 510 733 1 649 509 197 271 466 30 335 49 5 27 3 534 301 Kurikka 3 223 724 2 285 1 585 579 881 851 48 609 105 12 66 5 763 399 Laihia 1 578 358 1 123 1 091 351 644 733 34 535 116 19 78 3 518 403 Lappajärvi 1 853 393 1 341 455 142 265 504 22 387 102 11 77 2 914 408 Lapua 2 643 555 1 919 832 268 487 765 32 585 126 14 90 4 367 421 Lestijärvi 1 785 343 1 313 493 161 291 553 17 420 88 6 63 2 919 584 Perho 3 072 636 2 222 616 215 348 673 23 510 88 6 63 4 450 743 Seinäjoki 5 040 1 271 3 461 1 528 530 855 1 406 99 1 019 206 21 131 8 180 759 Soini 3 012 794 2 062 788 311 419 604 41 448 91 7 62 4 495 846 Teuva 2 015 390 1 485 995 376 546 470 22 330 57 6 37 3 537 849 Toholampi 2 108 450 1 509 594 200 339 607 23 469 72 5 56 3 381 863 Töysä 1 773 547 1 140 409 166 210 273 18 192 30 3 17 2 485 924 Veteli 1 926 372 1 423 487 158 286 525 17 411 73 7 53 3 011 934 Vimpeli 1 141 236 829 306 105 176 321 12 249 47 4 34 1 814 942 Vähäkyrö 297 71 207 297 90 182 244 10 172 55 4 39 892 989 Ähtäri 4 752 1 351 3 172 1 583 638 833 1 027 88 745 161 16 106 7 523 Total 79 853 18 464 56 341 24 178 8 560 13 584 19 854 1 021 14 771 2 820 300 1 922 126 705 Keski-Suomi 077 Hankasalmi 1 980 775 1 113 2 377 1 303 951 998 120 690 196 17 122 5 551 172 Joutsa 3 503 1 650 1 734 4 281 2 150 1 924 1 781 318 1 236 466 46 311 10 031 179 Jyväskylä 4 139 1 779 2 202 5 559 2 964 2 316 1 987 272 1 432 504 58 323 12 189 182 Jämsä 6 553 2 491 3 768 6 521 3 398 2 770 2 248 266 1 593 510 52 329 15 832 216 Kannonkoski 2 550 766 1 676 1 327 577 671 680 55 506 121 8 87 4 678 226 Karstula 4 758 1 247 3 271 1 799 728 942 1 292 82 982 170 10 118 8 018 249 Keuruu 6 901 2 318 4 309 4 615 2 091 2 250 1 948 204 1 405 365 49 243 13 829 256 Kinnula 2 251 501 1 607 786 288 438 656 29 502 92 7 65 3 784 265 Kivijärvi 2 608 724 1 758 1 082 460 548 639 44 483 96 6 67 4 425 275 Konnevesi 1 995 787 1 127 2 488 1 352 1 008 941 104 691 193 17 112 5 616 291 Kuhmoinen 2 511 1 082 1 336 3 472 1 855 1 448 967 133 693 257 32 172 7 206 312 Kyyjärvi 2 296 544 1 624 577 216 313 569 29 438 69 4 49 3 512 410 Laukaa 2 285 907 1 277 2 370 1 267 979 940 124 643 205 19 127 5 800 435 Luhanka 773 418 328 1 230 661 520 461 75 339 153 15 101 2 616 495 Multia 4 269 1 234 2 845 2 003 906 969 1 075 76 802 156 12 108 7 502 500 Muurame 426 189 223 782 415 328 245 35 180 69 9 44 1 521 592 Petäjävesi 1 961 641 1 229 1 696 870 731 644 64 465 121 10 72 4 421 601 Pihtipudas 4 649 880 3 499 2 472 774 1 495 1 680 80 1 283 303 24 195 9 104 729 Saarijärvi 6 293 1 892 4 125 3 635 1 632 1 783 2 034 156 1 523 318 22 219 12 281 850 Toivakka 1 532 656 816 1 378 696 605 645 99 449 162 18 106 3 717 892 Uurainen 1 550 507 971 1 169 601 501 480 48 347 79 6 48 3 279 931 Viitasaari 5 842 1 702 3 853 3 993 1 676 2 052 1 903 187 1 360 455 38 282 12 193 992 Äänekoski 4 023 1 533 2 331 3 877 2 006 1 667 1 396 168 1 011 288 28 165 9 585 Total 75 649 25 224 47 022 59 487 28 887 27 210 26 208 2 770 19 052 5 347 509 3 465 166 691 Pohjois-Savo 140 Iisalmi 1 659 444 1 133 2 646 1 205 1 279 1 339 128 1 009 324 25 183 5 968 174 Juankoski 1 440 460 913 1 840 906 836 731 77 532 200 13 118 4 211 204 Kaavi 3 134 980 2 010 2 599 1 189 1 259 1 016 94 722 188 9 115 6 938 227 Karttula 1 899 743 1 079 2 300 1 189 982 918 114 659 220 20 135 5 337 239 Keitele 2 012 628 1 288 1 870 888 869 815 81 577 123 9 72 4 820 263 Kiuruvesi 3 746 951 2 611 3 233 1 148 1 815 2 352 139 1 812 455 31 287 9 786 297 Kuopio 3 330 1 308 1 903 5 947 3 211 2 493 2 028 309 1 465 772 61 445 12 078 402 Lapinlahti 1 494 401 1 019 2 400 1 108 1 153 1 127 109 853 240 19 132 5 260 420 Leppävirta 3 786 1 480 2 173 6 685 3 495 2 870 2 233 316 1 643 606 39 355 13 310 476 Maaninka 1 086 342 695 2 049 1 004 937 812 90 605 192 16 111 4 139 534 Nilsiä 2 032 643 1 298 3 136 1 560 1 420 1 149 125 850 301 23 171 6 617 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 208 Table 7d. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 595 Pielavesi 4 087 1 223 2 668 4 415 1 878 2 243 2 213 214 1 650 422 36 254 11 137 686 Rautalampi 2 165 883 1 193 2 175 1 065 982 971 135 692 221 18 136 5 532 687 Rautavaara 5 384 1 456 3 660 2 741 1 082 1 452 1 479 102 1 077 195 12 119 9 798 749 Siilinjärvi 750 249 469 1 695 889 728 593 65 443 175 12 98 3 213 762 Sonkajärvi 5 997 1 501 4 172 3 229 1 251 1 715 2 118 133 1 558 338 24 205 11 682 778 Suonenjoki 3 144 1 243 1 768 3 228 1 694 1 354 1 220 158 862 271 24 164 7 863 844 Tervo 1 215 494 670 1 451 704 659 716 96 514 161 12 99 3 542 857 Tuusniemi 1 614 601 952 2 949 1 503 1 306 1 042 141 767 319 19 189 5 923 915 Varkaus 1 436 591 798 2 070 1 060 909 766 112 568 199 12 124 4 471 916 Varpaisjärvi 1 483 446 967 1 652 755 797 752 72 558 179 16 103 4 066 921 Vesanto 1 695 633 994 1 755 885 777 738 96 526 155 14 92 4 343 925 Vieremä 3 202 829 2 205 2 076 770 1 137 1 498 96 1 118 265 18 165 7 041 Total 57 792 18 531 36 638 64 139 30 440 29 974 28 624 3 003 21 061 6 518 481 3 871 157 074 Pohjois-Karjala 146 Ilomantsi 14 674 4 521 9 385 4 524 2 056 2 128 2 984 269 2 042 410 17 190 22 593 167 Joensuu 10 832 4 060 6 319 8 592 4 300 3 823 3 844 523 2 619 680 36 358 23 948 176 Juuka 7 925 2 645 4 921 3 843 1 734 1 844 2 169 240 1 488 285 16 145 14 222 248 Kesälahti 2 009 849 1 089 1 263 584 616 674 80 484 137 7 83 4 083 260 Kitee 3 498 1 438 1 924 3 197 1 583 1 458 1 510 184 1 071 307 16 178 8 511 276 Kontiolahti 3 879 1 587 2 133 2 315 1 100 1 075 1 316 155 924 237 14 130 7 748 309 Outokumpu 2 167 871 1 210 1 316 580 652 701 82 521 175 10 110 4 359 422 Lieksa 18 167 6 053 11 135 5 372 2 241 2 697 4 068 376 2 741 595 20 275 28 202 426 Liperi 3 041 1 303 1 630 2 245 1 051 1 068 1 070 130 788 270 20 166 6 627 541 Nurmes 7 297 2 020 4 896 3 958 1 675 1 985 2 507 205 1 734 327 16 186 14 089 607 Polvijärvi 3 896 1 540 2 201 1 700 712 864 1 273 140 918 233 16 139 7 103 707 Rääkkylä 1 769 777 930 1 677 827 771 867 94 658 221 14 141 4 533 848 Tohmajärvi 3 698 1 305 2 240 2 866 1 404 1 310 1 207 157 828 191 10 101 7 963 911 Valtimo 3 346 826 2 342 2 043 736 1 133 1 309 72 970 184 11 112 6 883 Total 86 201 29 797 52 353 44 911 20 583 21 425 25 500 2 708 17 786 4 251 224 2 314 160 863 Kainuu 105 Hyrynsalmi 5 610 1 591 3 681 2 086 688 1 224 1 621 26 1 161 156 7 95 9 474 205 Kajaani 8 278 1 896 5 883 2 024 668 1 157 2 519 59 1 854 256 9 171 13 077 290 Kuhmo 21 451 6 901 13 199 5 142 1 470 3 125 4 265 137 2 866 312 5 173 31 170 578 Paltamo 4 232 1 173 2 841 1 957 777 1 042 1 343 41 991 178 7 112 7 711 620 Puolanka 8 422 1 798 6 084 3 084 910 1 888 2 622 27 1 893 264 13 191 14 391 697 Ristijärvi 3 610 969 2 420 1 492 520 847 1 063 19 744 95 4 58 6 259 765 Sotkamo 12 141 3 180 8 270 5 062 1 745 2 869 3 652 128 2 640 437 23 300 21 293 777 Suomussalmi 18 049 4 749 12 032 5 144 1 275 3 342 3 799 46 2 655 414 18 272 27 406 785 Vaala 4 631 822 3 444 624 168 393 1 281 7 997 66 4 51 6 602 Total 86 424 23 080 57 854 26 615 8 223 15 886 22 164 490 15 801 2 179 90 1 423 137 382 Pohjois-Pohjanmaa 009 Alavieska 846 140 640 251 68 157 256 5 201 41 4 27 1 393 069 Haapajärvi 2 998 588 2 221 1 461 461 884 1 268 49 1 000 217 15 150 5 945 071 Haapavesi 3 759 710 2 802 1 337 395 819 1 649 50 1 313 224 18 154 6 969 072 Hailuoto 572 135 395 116 34 69 160 1 125 26 1 18 874 084 Haukipudas 1 707 385 1 205 461 144 279 414 4 324 54 5 36 2 636 139 Ii 5 192 1 054 3 780 1 512 422 937 1 447 14 1 084 153 9 105 8 304 208 Kalajoki 2 347 353 1 794 545 128 354 790 14 632 89 6 60 3 771 244 Kempele 306 65 218 83 24 52 113 1 88 14 1 9 516 255 Kiiminki 1 340 293 950 373 126 217 290 2 229 37 2 27 2 040 305 Kuusamo 14 311 3 356 10 033 5 571 1 402 3 693 2 916 23 2 094 283 10 171 23 082 317 Kärsämäki 2 773 502 2 086 1 100 352 655 1 208 30 953 154 10 110 5 235 425 Liminka 1 716 299 1 269 292 68 189 705 7 549 73 3 51 2 786 436 Lumijoki 561 116 401 129 33 81 262 4 206 33 1 23 985 483 Merijärvi 819 144 616 295 76 186 301 6 236 42 5 29 1 457 494 Muhos 2 574 480 1 883 365 104 228 654 4 507 50 3 37 3 644 535 Nivala 1 516 311 1 110 710 227 426 599 23 473 123 11 80 2 947 563 Oulainen 1 982 373 1 474 766 211 473 771 20 611 128 15 90 3 647 564 Oulu 5 635 1 165 4 050 1 231 358 766 1 203 6 941 111 7 79 8 179 567 Oulunsalo 243 56 170 68 19 42 84 1 65 11 1 7 406 615 Pudasjärvi 17 056 2 868 12 911 3 795 799 2 575 3 439 22 2 474 210 5 161 24 499 625 Pyhäjoki 2 015 320 1 523 558 139 355 745 15 601 93 9 64 3 412 626 Pyhäsalmi 5 099 1 024 3 768 2 659 803 1 619 2 324 81 1 858 339 22 239 10 421 630 Pyhäntä 3 295 603 2 438 649 181 408 1 010 11 779 79 5 60 5 034 678 Raahe 2 092 448 1 492 516 162 311 679 7 529 89 7 63 3 375 691 Reisjärvi 1 839 319 1 386 706 223 422 704 23 556 107 7 72 3 355 746 Sievi 2 907 478 2 202 782 232 472 993 28 786 131 9 88 4 813 748 Siikajoki 3 400 644 2 482 598 159 382 1 197 14 926 128 7 92 5 324 791 Siikalatva 8 528 1 474 6 371 1 557 416 994 3 095 28 2 399 253 14 192 13 433 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 209 Table 7d. Continued Forestry centre Pine Spruce Birch Other broadleaved tree species All tree speciesTotal Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Total Logs Pulpwood Municipality 1 000 m3 832 Taivalkoski 7 966 1 799 5 699 2 837 755 1 849 1 562 17 1 127 197 6 153 12 562 859 Tyrnävä 1 475 262 1 087 221 55 142 459 3 354 41 2 30 2 196 889 Utajärvi 6 075 1 091 4 510 807 209 514 1 324 7 1 019 58 3 46 8 264 926 Vihanti 1 769 357 1 285 464 131 291 646 11 508 76 4 57 2 955 972 Yli-Ii 2 791 525 2 059 566 144 365 677 5 503 48 2 34 4 083 977 Ylivieska 2 043 398 1 506 711 204 438 792 23 629 128 12 87 3 675 Total 119 549 23 135 87 818 34 090 9 266 21 643 34 737 560 26 680 3 841 242 2 702 192 216 Lapland 047 Enontekiö 3 048 625 2 284 220 59 146 579 0 257 15 0 0 3 861 148 Inari 22 605 3 824 17 445 633 188 414 1 731 0 860 18 0 7 24 987 240 Kemi 91 13 66 263 78 160 132 0 102 42 0 33 528 241 Keminmaa 874 131 665 1 470 330 966 1 056 6 848 162 3 118 3 562 261 Kittilä 14 683 3 047 10 756 4 245 1 110 2 747 3 743 10 2 746 159 19 75 22 829 273 Kolari 8 205 2 305 5 382 1 565 230 1 111 1 466 17 1 002 118 4 71 11 352 320 Kemijärvi 11 985 2 458 8 726 2 061 375 1 433 2 120 12 1 431 56 0 23 16 222 498 Muonio 4 635 995 3 413 1 045 250 703 595 0 355 45 0 29 6 320 583 Pelkosenniemi 3 746 648 2 816 1 358 258 955 1 458 5 970 43 0 19 6 605 614 Posio 8 200 1 710 5 946 1 997 482 1 336 1 100 9 775 86 1 60 11 382 683 Ranua 8 831 1 382 6 747 2 170 392 1 503 1 946 9 1 357 117 2 86 13 064 698 Rovaniemi 24 029 5 026 17 203 5 296 1 019 3 601 4 752 21 3 346 328 6 219 34 405 732 Salla 10 989 1 953 8 330 4 883 1 189 3 295 3 185 3 2 115 138 1 64 19 195 742 Savukoski 12 948 2 568 9 534 2 787 644 1 888 2 173 2 1 468 50 0 19 17 959 751 Simo 3 020 469 2 313 1 348 340 846 1 255 9 930 153 7 109 5 776 758 Sodankylä 17 645 3 775 12 656 4 817 1 088 3 294 3 783 5 2 579 150 6 60 26 395 845 Tervola 3 056 478 2 319 2 531 489 1 732 2 312 24 1 783 196 3 128 8 095 851 Tornio 1 495 223 1 120 2 869 580 1 982 2 014 11 1 573 350 2 277 6 728 854 Pello 5 311 1 304 3 596 1 662 362 1 108 1 613 20 1 140 248 14 143 8 834 890 Utsjoki 107 4 90 7 1 5 28 0 6 0 0 0 142 976 Ylitornio 4 878 911 3 492 1 787 262 1 244 1 743 5 1 232 100 0 73 8 508 Total 170 380 33 851 124 900 45 011 9 727 30 468 38 782 168 26 875 2 574 69 1 611 256 747 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 210 Table 8a. The biomass of the tree compartments available for energy wood by tree species in young thinning stands on forest land by forestry centres. Stands with proposed cutting for the first 5-year period selected. The assessed removal by stand ranges from 28 to 43 % of the growing stock. Forestry centre Pine Spruce Broadleaved tree species All tree species Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Municipality 1 000 t Åland 035 Brändö 2 1 0 0 0 0 4 1 0 6 1 1 043 Eckerö 9 3 1 2 1 1 12 2 1 23 6 2 060 Finström 9 3 1 3 1 1 16 3 1 28 7 3 062 Föglö 8 2 1 2 1 0 8 2 1 18 4 2 065 Geta 4 1 0 1 0 0 4 1 0 9 2 1 076 Hammarland 11 3 1 3 1 1 16 3 1 30 7 3 170 Jomala 11 3 1 3 1 1 17 3 1 30 7 3 295 Kumlinge 1 0 0 0 0 0 2 0 0 3 1 0 318 Kökar 0 0 0 0 0 0 0 0 0 0 0 0 417 Lemland 10 3 1 3 1 1 16 3 1 29 7 3 438 Lumparland 3 1 0 1 0 0 3 1 0 6 1 1 478 Mariehamn-Maarianhamina 0 0 0 0 0 0 1 0 0 2 0 0 736 Saltvik 9 2 1 2 1 0 8 2 1 19 5 2 766 Sottunga 1 0 0 0 0 0 1 0 0 1 0 0 771 Sund 8 2 1 2 1 0 9 2 1 18 5 2 941 Vårdö 5 1 1 1 0 0 4 1 0 10 2 1 Total 91 26 10 22 8 6 120 23 8 233 57 24 Rannikko/Etelärannikko 049 Espoo-Esbo 16 4 2 9 3 2 13 2 1 38 10 5 078 Hanko-Hangö 5 1 0 3 1 1 4 1 0 12 3 2 091 Helsinki-Helsingfors 5 2 1 3 1 1 4 1 0 13 3 2 092 Vantaa-Vanda 8 3 1 7 2 2 11 2 1 26 7 3 149 Ingå-Inkoo 18 5 2 7 3 2 11 2 1 36 9 5 235 Kauniainen-Grankulla 0 0 0 0 0 0 0 0 0 0 0 0 257 Kirkkonummi-Kyrkslätt 21 5 2 9 3 3 14 2 1 44 11 5 322 Kemiönsaari 26 7 2 10 4 3 15 2 1 51 13 6 407 Lapinjärvi-Lappträsk 17 4 2 17 5 4 15 3 1 49 12 6 424 Liljendal 6 1 1 5 2 1 4 1 0 15 4 2 434 Loviisa-Lovisa 4 1 0 2 1 0 1 0 0 7 2 1 444 Länsi-Turunmaa 30 7 3 13 5 4 25 4 2 67 16 8 585 Pernå-Pernaja 29 7 2 21 7 5 18 3 1 68 16 8 638 Porvoo-Borgå 41 10 4 28 9 7 29 5 1 97 24 12 701 Ruotsinpyhtää-Strömfors 18 4 2 16 5 4 14 2 1 48 12 6 710 Raasepori 61 16 6 25 9 7 46 8 3 132 33 16 753 Sipoo-Sibbo 18 5 2 15 5 4 15 3 1 48 13 6 755 Siuntio-Sjundeå 11 3 1 7 3 2 13 2 1 32 8 4 Total 334 85 31 198 67 51 252 42 14 784 195 97 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 0 0 0 0 0 0 0 0 0 0 0 0 280 Korsnäs 15 4 2 5 2 1 10 2 1 30 8 4 287 Kristinestad-Kristiinankaupunki 56 14 6 11 4 3 17 3 1 84 21 10 288 Kronoby-Kruunupyy 67 16 6 14 6 5 46 8 3 127 30 14 440 Larsmo-Luoto 12 3 1 2 1 1 9 1 1 23 5 3 475 Malax-Maalahti 31 8 3 9 3 3 25 4 2 65 16 8 499 Korsholm-Mustasaari 68 18 7 27 12 10 47 8 3 142 38 20 545 Närpes-Närpiö 49 12 5 13 5 4 17 2 1 79 20 10 559 Oravais-Oravainen 9 2 1 4 2 1 8 1 1 21 5 3 598 Jakobstad-Pietarsaari 5 1 0 2 1 1 7 1 0 14 3 2 599 Pedersöre-Pedersören kunta 72 18 7 15 6 5 53 9 4 139 33 15 893 Nykarleby-Uusikaarlepyy 36 9 4 14 5 4 24 4 1 74 19 9 905 Vaasa-Vasa 11 3 1 4 2 1 11 2 1 25 6 3 945 Vörå-Maxmo Vöyri-Maksamaa 35 9 4 12 5 4 31 5 2 78 20 10 Total 465 119 46 133 55 43 302 51 21 900 225 109 Lounais-Suomi 019 Aura 3 1 0 1 1 0 3 0 0 7 2 1 050 Eura 23 7 2 19 7 5 26 4 2 69 18 9 051 Eurajoki 18 5 2 25 9 7 22 3 1 64 18 10 079 Harjavalta 8 2 1 8 3 2 7 1 0 23 6 3 099 Honkajoki 21 6 2 2 1 0 6 1 0 28 7 3 102 Huittinen 27 7 3 28 9 7 25 4 2 80 21 11 181 Jämijärvi 17 4 2 4 1 1 7 1 0 27 7 3 202 Kaarina 5 1 0 2 1 1 5 1 0 13 3 2 214 Kankaanpää 54 14 6 9 3 2 20 3 1 83 20 9 230 Karvia 33 9 3 2 1 1 8 1 1 43 11 5 254 Kiikoinen 10 2 1 5 2 1 5 1 0 19 5 2 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 211 Table 8a. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Municipality 1 000 t 271 Kokemäki 29 7 3 20 6 5 23 4 2 72 17 9 284 Koski T.l. 5 1 1 1 1 0 6 2 0 13 4 1 304 Kustavi 4 1 0 2 1 1 3 1 0 9 2 1 319 Köyliö 5 2 1 6 2 2 7 1 0 18 5 3 400 Laitila 21 6 2 14 6 5 15 2 1 50 14 8 413 Lavia 24 6 2 12 4 3 7 1 0 44 11 5 423 Lieto 7 2 1 3 1 1 5 1 0 15 4 2 430 Loimaa 24 6 2 25 9 6 11 2 1 60 17 9 442 Luvia 7 2 1 9 3 2 9 1 0 24 6 3 480 Marttila 8 2 1 4 1 1 7 1 0 18 5 2 481 Masku 7 2 1 3 1 1 5 1 0 15 4 2 484 Merikarvia 31 8 3 10 4 3 14 2 1 55 14 7 503 Mynämäki 26 7 2 12 5 4 17 3 1 55 14 7 529 Naantali 8 2 1 3 1 1 6 1 0 17 4 2 531 Nakkila 8 2 1 9 3 2 9 1 0 26 7 4 537 Noormarkku 19 5 2 12 4 3 10 1 1 41 10 5 538 Nousiainen 9 2 1 4 1 1 6 1 0 18 4 2 561 Oripää 5 1 0 2 1 1 3 0 0 9 2 1 577 Paimio 10 2 1 4 1 1 7 1 0 21 5 3 608 Pomarkku 18 4 2 8 3 2 5 1 0 31 8 4 609 Pori 14 4 1 20 6 4 20 3 1 54 13 7 631 Pyhäranta 6 2 1 5 2 2 6 1 0 17 5 3 636 Pöytyä 38 10 3 17 6 5 26 4 2 81 20 10 680 Raisio 1 0 0 1 0 0 1 0 0 3 1 0 684 Rauma 17 5 2 14 6 5 16 3 1 46 13 8 704 Rusko 6 1 0 3 1 1 4 1 0 12 3 1 734 Salo 95 24 8 39 15 12 79 13 5 213 52 26 738 Sauvo 10 2 1 4 2 1 8 1 0 22 5 3 747 Siikainen 39 10 4 8 3 2 16 3 1 63 16 7 761 Somero 26 6 2 18 7 6 26 4 2 70 17 10 783 Säkylä 4 1 0 3 1 1 5 1 0 12 3 2 833 Taivassalo 4 1 0 1 1 1 3 0 0 8 2 1 838 Tarvasjoki 4 1 0 2 1 1 3 1 0 9 2 1 853 Turku-Åbo 7 2 1 4 1 1 8 1 1 19 5 2 886 Ulvila 28 7 3 18 6 4 19 3 1 65 15 8 895 Uusikaupunki 19 5 2 9 4 3 15 2 1 43 11 6 918 Vehmaa 6 2 1 3 1 1 4 1 0 13 3 2 Total 816 212 79 435 158 122 569 92 36 1 820 461 237 Häme-Uusimaa 015 Artjärvi 7 2 1 7 2 2 9 1 0 22 6 3 016 Asikkala 24 6 2 30 10 8 38 6 2 91 22 12 018 Askola 9 2 1 10 3 2 10 2 0 28 7 4 061 Forssa 6 2 1 5 2 2 9 2 1 20 5 3 081 Hartola 20 6 2 32 10 8 40 7 3 91 23 14 082 Hattula 15 4 1 20 7 5 25 4 1 60 15 8 086 Hausjärvi 17 4 1 18 6 4 13 2 1 48 12 6 098 Hollola 18 5 2 24 8 6 27 5 2 68 17 9 103 Humppila 6 2 1 2 1 1 1 0 0 10 3 1 106 Hyvinkää 14 3 1 18 6 4 14 3 1 46 12 6 109 Hämeenlinna 95 25 9 120 40 29 111 19 6 326 84 44 111 Heinola 38 10 4 29 9 7 40 7 3 107 26 14 165 Janakkala 22 6 2 31 10 8 32 5 2 85 22 11 169 Jokioinen 5 1 0 2 1 1 2 0 0 9 2 1 186 Järvenpää 1 0 0 1 0 0 2 0 0 4 1 1 223 Karjalohja 6 2 1 3 1 1 7 1 0 16 4 2 224 Karkkila 16 4 1 12 4 3 15 3 1 44 11 5 245 Kerava 1 0 0 1 0 0 1 0 0 3 1 0 283 Hämeenkoski 8 2 1 14 5 3 14 3 1 36 9 5 316 Kärkölä 9 2 1 16 5 4 14 3 1 38 10 5 398 Lahti 3 1 0 3 1 1 6 1 0 12 3 2 433 Loppi 28 7 3 30 10 8 31 5 2 88 22 12 444 Lohja 15 4 1 10 4 3 23 4 1 48 11 6 504 Myrskylä-Mörskom 9 2 1 11 4 3 12 2 1 32 8 4 505 Mäntsälä 25 6 2 41 13 9 25 5 2 90 23 12 532 Nastola 8 2 1 10 4 3 18 3 1 36 9 5 540 Nummi-Pusula 27 7 3 16 6 5 27 4 2 70 17 9 543 Nurmijärvi 13 4 1 14 5 4 21 4 1 48 12 6 560 Orimattila 22 6 2 25 9 6 26 4 1 73 19 10 576 Padasjoki 31 8 3 34 11 8 32 5 2 97 25 13 611 Pornainen 7 2 1 8 2 2 9 2 0 23 6 3 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 212 Table 8a. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Municipality 1 000 t 616 Pukkila 5 1 0 7 2 2 9 2 0 21 5 3 694 Riihimäki 4 1 0 6 2 1 6 1 0 16 4 2 781 Sysmä 17 5 2 36 12 10 60 10 4 113 26 16 834 Tammela 41 10 3 24 9 7 34 5 2 99 24 13 858 Tuusula 8 2 1 9 3 2 13 2 1 30 8 4 927 Vihti 30 7 3 22 8 6 34 6 2 86 21 10 981 Ypäjä 6 2 1 2 1 1 2 0 0 10 3 1 Total 632 165 60 703 237 178 811 138 47 2 146 539 285 Kaakkois-Suomi 075 Hamina 55 14 5 24 8 6 25 4 2 105 26 13 142 Iitti 27 7 3 28 9 7 34 6 2 89 22 11 153 Imatra 8 2 1 8 2 2 7 1 0 24 6 3 285 Kotka 17 4 2 10 3 2 11 2 1 37 9 5 286 Kouvola 180 42 16 86 28 22 110 19 8 375 89 46 405 Lappeenranta 67 17 7 39 13 10 47 8 3 154 37 20 416 Lemi 17 4 2 7 2 2 14 2 1 37 9 4 441 Luumäki 66 16 6 27 9 7 40 7 3 133 32 16 489 Miehikkälä 43 11 4 17 6 5 18 3 1 79 20 10 580 Parikkala 37 10 4 35 12 9 51 9 4 123 31 17 624 Pyhtää-Pyttis 18 4 2 14 5 3 15 2 1 47 11 6 689 Rautjärvi 22 6 2 28 9 7 27 4 2 77 19 11 700 Ruokolahti 77 19 8 41 13 10 59 10 4 177 41 22 739 Savitaipale 54 13 5 16 5 4 31 5 2 102 23 12 775 Suomenniemi 35 8 3 10 3 2 13 2 1 57 13 6 831 Taipalsaari 43 10 4 10 3 2 16 3 1 69 15 7 935 Virolahti 35 9 3 17 6 5 17 3 1 68 17 9 978 Ylämaa 41 10 4 16 6 4 16 3 1 74 19 9 Total 844 204 79 432 142 111 552 93 37 1 827 439 228 Pirkanmaa 020 Akaa 2 1 0 4 1 1 6 1 0 12 3 2 108 Hämeenkyrö 25 6 2 19 7 5 30 5 2 74 17 9 143 Ikaalinen 50 12 5 24 8 7 35 6 2 109 27 14 177 Juupajoki 13 3 1 10 4 3 14 2 1 37 9 5 211 Kangasala 9 3 1 11 4 3 28 4 2 49 11 6 250 Kihniö 42 11 4 5 2 1 11 2 1 57 14 6 289 Kuhmalahti 7 2 1 8 3 2 9 1 0 25 6 3 310 Kylmäkoski 5 1 1 4 2 1 7 1 0 17 4 2 418 Lempäälä 1 0 0 7 3 2 13 2 1 22 5 3 508 Mänttä-Vilppula 35 9 3 28 10 7 40 7 2 103 25 13 536 Nokia 7 2 1 7 2 2 14 2 1 28 6 3 562 Orivesi 41 10 4 33 12 9 45 7 3 119 28 16 581 Parkano 94 24 10 15 5 4 27 5 2 137 34 15 604 Pirkkala 0 0 0 2 1 1 4 1 0 7 1 1 619 Punkalaidun 14 3 1 8 3 2 9 2 0 32 8 4 635 Pälkäne 25 7 2 42 14 10 40 7 2 106 28 15 702 Ruovesi 51 13 5 37 12 9 46 8 3 134 32 17 790 Sastamala 116 26 10 47 17 13 71 12 5 235 55 28 837 Tampere 24 6 2 21 7 6 30 4 2 75 18 10 887 Urjala 17 4 1 8 3 2 17 3 1 42 10 5 908 Valkeakoski 5 1 1 8 3 2 18 2 1 32 7 4 922 Vesilahti 8 2 1 8 3 2 11 2 1 27 6 3 936 Virrat 118 30 12 28 9 7 36 6 2 182 45 22 980 Ylöjärvi 82 20 8 40 14 11 58 9 4 180 44 22 Total 794 197 75 427 148 113 619 100 39 1 839 444 228 Etelä-Savo 046 Enonkoski 19 5 2 23 7 6 18 3 1 60 15 9 090 Heinävesi 77 20 8 73 25 20 60 12 4 209 56 32 097 Hirvensalmi 19 5 2 23 7 6 40 7 3 82 19 11 171 Joroinen 47 12 5 19 8 6 43 8 3 108 27 14 178 Juva 96 23 9 46 15 12 53 9 4 195 48 25 213 Kangasniemi 59 14 6 34 11 9 50 9 4 143 35 19 246 Kerimäki 34 9 4 35 11 9 51 9 4 119 29 16 491 Mikkeli 101 25 10 67 23 18 92 17 7 261 65 34 507 Mäntyharju 96 22 8 37 12 9 55 9 4 187 43 22 588 Pertunmaa 18 5 2 22 7 6 30 5 2 70 17 10 593 Pieksämäki 112 27 11 71 25 20 111 20 8 294 72 39 618 Punkaharju 36 9 4 26 8 6 44 8 3 106 25 14 623 Puumala 122 26 10 16 5 4 47 7 3 185 39 18 681 Rantasalmi 35 9 4 35 12 9 36 6 3 106 27 15 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 213 Table 8a. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Municipality 1 000 t 696 Ristiina 47 11 4 21 7 6 31 6 2 99 23 12 740 Savonlinna 94 24 10 78 25 20 91 16 7 263 65 36 768 Sulkava 49 12 5 24 7 6 43 7 3 115 27 14 Total 1 059 257 102 651 218 172 894 159 66 2 603 633 340 Etelä-Pohjanmaa 005 Alajärvi 76 19 8 9 4 3 25 5 2 110 28 12 010 Alavus 51 13 5 3 1 1 12 2 1 66 17 7 052 Evijärvi 28 6 3 7 3 2 21 3 1 55 13 6 074 Halsua 27 7 3 1 0 0 10 2 1 38 10 4 095 Himanka 24 6 2 3 1 1 14 3 1 41 9 4 145 Ilmajoki 44 11 4 7 3 2 14 3 1 64 17 7 151 Isojoki 58 15 6 7 3 2 17 3 1 82 21 9 152 Isokyrö 15 4 2 4 2 1 7 1 0 25 6 3 164 Jalasjärvi 54 14 5 5 2 2 14 2 1 73 19 8 217 Kannus 35 8 3 4 2 1 22 4 2 61 14 6 218 Karijoki 14 3 1 2 1 0 3 0 0 18 4 2 232 Kauhajoki 84 24 9 9 3 2 21 4 2 114 31 14 233 Kauhava 87 20 8 19 8 6 49 8 3 155 36 17 236 Kaustinen 28 7 3 4 2 1 16 3 1 49 11 5 272 Kokkola-Karleby 111 27 10 17 7 5 66 12 5 193 45 20 300 Kuortane 33 9 4 3 1 1 8 2 1 45 11 5 301 Kurikka 64 16 6 9 4 3 17 3 1 90 23 11 399 Laihia 29 7 3 7 3 2 14 2 1 49 12 6 403 Lappajärvi 33 8 3 8 3 2 21 4 1 61 14 7 408 Lapua 54 13 5 11 4 3 28 5 2 93 22 10 421 Lestijärvi 42 10 4 7 3 2 24 5 2 73 17 8 584 Perho 60 15 6 7 3 2 26 5 2 93 23 10 743 Seinäjoki 99 25 10 13 6 4 33 6 2 146 37 16 759 Soini 52 13 5 7 3 2 18 3 1 77 19 8 846 Teuva 42 10 4 4 1 1 7 1 0 53 13 6 849 Toholampi 37 9 4 6 2 2 18 3 1 60 14 7 863 Töysä 23 6 2 2 1 1 4 1 0 29 8 3 924 Veteli 37 9 3 5 2 2 20 4 1 62 14 6 934 Vimpeli 21 5 2 3 1 1 10 2 1 34 8 4 942 Vähäkyrö 8 2 1 2 1 1 8 1 1 18 4 2 989 Ähtäri 80 20 8 13 5 4 32 6 2 125 31 14 Total 1 448 360 142 208 83 63 597 109 42 2 254 552 247 Keski-Suomi 077 Hankasalmi 33 8 3 13 5 4 35 6 3 81 19 10 172 Joutsa 39 11 4 36 12 10 65 11 5 140 33 19 179 Jyväskylä 57 15 6 37 14 11 64 11 4 158 39 21 182 Jämsä 80 20 8 53 19 15 66 11 5 199 50 28 216 Kannonkoski 42 10 4 14 5 4 26 5 2 82 20 9 226 Karstula 81 19 7 19 7 6 39 7 3 140 33 16 249 Keuruu 101 25 10 39 14 10 63 11 4 203 50 24 256 Kinnula 45 11 4 9 3 3 22 4 2 76 19 9 265 Kivijärvi 48 11 4 11 4 3 21 4 1 81 20 9 275 Konnevesi 34 9 4 16 6 5 32 6 3 81 21 11 291 Kuhmoinen 32 8 3 22 8 6 27 4 2 81 20 11 312 Kyyjärvi 37 9 3 6 2 2 16 3 1 59 14 6 410 Laukaa 34 8 3 17 6 5 32 6 2 82 20 11 435 Luhanka 5 2 1 7 3 2 16 2 1 28 7 4 495 Multia 61 15 6 15 6 4 29 5 2 106 26 12 500 Muurame 6 2 1 5 2 1 10 2 1 21 5 3 592 Petäjävesi 26 7 3 11 4 3 21 4 1 58 15 7 601 Pihtipudas 129 32 13 41 17 12 63 11 5 233 60 29 729 Saarijärvi 107 26 10 36 13 10 73 13 5 216 52 25 850 Toivakka 23 6 2 13 4 3 22 4 2 58 14 7 892 Uurainen 19 5 2 6 2 2 14 3 1 39 10 5 931 Viitasaari 102 27 11 28 12 10 109 24 9 239 63 30 992 Äänekoski 63 16 7 26 10 8 44 9 3 133 35 18 Total 1 204 300 119 480 179 140 910 166 65 2 593 645 324 Pohjois-Savo 140 Iisalmi 43 11 5 35 14 11 73 14 5 152 39 21 174 Juankoski 28 8 3 18 8 6 36 7 3 82 22 12 204 Kaavi 61 16 6 24 11 8 45 8 3 131 34 17 227 Karttula 31 8 3 21 8 6 38 7 3 90 23 12 239 Keitele 39 10 4 11 5 4 26 5 2 76 20 9 263 Kiuruvesi 86 22 9 35 14 11 112 22 8 232 59 28 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 214 Table 8a. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Municipality 1 000 t 297 Kuopio 60 16 6 54 22 19 92 17 6 206 54 30 402 Lapinlahti 39 10 4 31 12 10 62 12 4 133 34 18 420 Leppävirta 70 17 7 89 31 25 105 19 7 265 68 39 476 Maaninka 26 7 3 21 8 7 44 8 3 91 23 13 534 Nilsiä 41 11 4 30 12 10 56 11 4 127 34 18 595 Pielavesi 85 22 9 56 23 18 103 19 7 244 65 34 686 Rautalampi 36 9 4 28 10 8 39 7 3 102 26 14 687 Rautavaara 88 22 8 27 12 9 53 10 4 167 44 21 749 Siilinjärvi 17 4 2 16 7 5 31 6 2 65 17 9 762 Sonkajärvi 110 28 11 40 17 13 91 17 7 241 63 31 778 Suonenjoki 48 12 5 31 11 9 48 9 4 127 32 17 844 Tervo 20 5 2 18 6 5 27 5 2 64 16 9 857 Tuusniemi 29 7 3 31 12 10 52 10 4 111 29 16 915 Varkaus 21 5 2 28 9 7 33 7 2 82 21 12 916 Varpaisjärvi 27 7 3 19 8 6 34 6 2 80 21 11 921 Vesanto 30 8 3 16 6 5 22 4 2 67 17 9 925 Vieremä 70 18 7 27 11 8 72 14 5 169 43 20 Total 1 106 283 112 705 277 222 1 293 244 90 3 104 804 423 Pohjois-Karjala 146 Ilomantsi 416 103 38 52 25 19 112 24 9 581 151 65 167 Joensuu 191 46 18 81 33 25 156 33 12 427 112 55 176 Juuka 162 38 14 43 18 14 69 13 5 274 69 33 248 Kesälahti 30 7 3 16 5 4 27 5 2 72 18 9 260 Kitee 56 15 6 36 13 10 69 14 5 162 42 22 276 Kontiolahti 57 14 6 30 11 9 52 11 4 139 36 18 309 Outokumpu 31 8 3 20 7 6 31 6 2 81 22 11 422 Lieksa 467 115 43 84 36 28 170 34 13 721 186 85 426 Liperi 42 11 4 29 11 8 51 10 4 122 31 16 541 Nurmes 134 33 12 39 16 13 86 16 6 259 66 31 607 Polvijärvi 57 14 5 26 10 7 52 10 4 134 34 17 707 Rääkkylä 23 5 2 20 7 5 44 7 3 87 20 10 848 Tohmajärvi 73 18 7 33 13 10 53 11 4 159 41 21 911 Valtimo 57 15 6 22 9 7 51 10 4 130 34 16 Total 1 797 442 169 529 214 165 1 023 205 76 3 349 861 411 Kainuu 105 Hyrynsalmi 88 25 9 29 12 9 69 14 5 186 51 23 205 Kajaani 154 37 15 22 10 8 110 21 8 286 68 31 290 Kuhmo 367 103 40 62 28 21 159 35 13 588 166 75 578 Paltamo 70 18 7 24 10 6 54 11 4 148 38 17 620 Puolanka 138 38 14 38 15 11 98 19 7 274 73 32 697 Ristijärvi 58 15 6 18 8 6 36 7 3 112 30 14 765 Sotkamo 165 44 17 51 21 16 139 29 11 355 94 44 777 Suomussalmi 300 94 36 36 16 12 97 22 9 432 131 57 785 Vaala 105 25 10 8 3 2 54 10 4 166 39 16 Total 1 444 399 154 288 123 91 815 168 65 2 546 690 310 Pohjois-Pohjanmaa 009 Alavieska 27 6 2 3 1 1 10 2 1 39 9 4 069 Haapajärvi 82 19 7 18 8 6 47 9 3 147 36 17 071 Haapavesi 108 25 10 17 8 6 56 10 4 181 43 19 072 Hailuoto 11 2 1 1 0 0 8 1 1 19 4 2 084 Haukipudas 37 9 3 4 2 1 15 3 1 56 13 6 139 Ii 102 26 10 20 8 6 49 10 4 171 45 19 208 Kalajoki 82 19 8 8 3 3 31 6 2 121 28 12 244 Kempele 8 2 1 1 0 0 4 1 0 12 3 1 255 Kiiminki 34 8 3 3 1 1 13 2 1 49 11 5 305 Kuusamo 246 79 28 19 12 7 70 17 7 335 108 43 317 Kärsämäki 93 21 8 13 6 5 44 8 3 150 35 16 425 Liminka 46 12 4 3 1 1 32 6 2 82 19 8 436 Lumijoki 14 3 1 1 1 0 12 2 1 27 6 3 483 Merijärvi 25 6 2 3 1 1 9 2 1 36 9 4 494 Muhos 52 13 5 4 1 1 24 5 2 79 19 8 535 Nivala 40 9 4 10 4 3 23 4 2 73 18 8 563 Oulainen 48 11 4 9 4 3 23 4 2 80 20 9 564 Oulu 127 31 12 15 5 4 51 10 4 193 46 19 567 Oulunsalo 5 1 0 1 0 0 3 1 0 8 2 1 615 Pudasjärvi 391 108 41 41 16 11 127 28 10 559 152 62 625 Pyhäjoki 68 15 6 6 3 2 25 5 2 98 23 10 626 Pyhäsalmi 143 33 13 36 15 11 89 16 6 269 65 31 630 Pyhäntä 88 21 8 8 3 2 47 9 3 142 33 14 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 215 Table 8a. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Municipality 1 000 t 678 Raahe 51 13 5 4 2 1 28 5 2 84 20 8 691 Reisjärvi 60 13 5 11 5 4 28 5 2 98 24 11 746 Sievi 89 20 8 13 6 5 38 7 3 141 34 16 748 Siikajoki 88 22 8 6 2 2 51 10 4 145 34 14 791 Siikalatva 246 59 23 22 9 6 158 30 12 426 98 41 832 Taivalkoski 120 38 14 10 4 3 36 9 3 167 51 20 859 Tyrnävä 35 9 3 2 1 1 19 4 1 56 13 5 889 Utajärvi 135 33 13 11 4 3 55 11 4 201 48 20 926 Vihanti 45 11 4 5 2 1 25 5 2 75 18 7 972 Yli-Ii 60 16 6 8 3 2 30 6 2 97 25 10 977 Ylivieska 52 12 5 10 4 3 28 5 2 90 21 10 Total 2 855 726 278 344 148 107 1 305 257 99 4 504 1 131 484 Lapland 047 Enontekiö 2 1 0 0 0 0 4 1 0 6 2 1 148 Inari 139 38 15 1 0 0 1 0 0 141 39 16 240 Kemi 1 0 0 3 1 1 7 1 1 11 3 2 241 Keminmaa 17 5 2 28 12 9 44 9 3 88 25 15 261 Kittilä 109 38 14 12 6 4 55 14 5 177 58 23 273 Kolari 86 26 11 13 7 5 40 11 3 139 44 19 320 Kemijärvi 187 46 18 34 15 9 106 22 9 328 83 36 498 Muonio 6 2 1 2 1 1 6 1 0 13 4 2 583 Pelkosenniemi 59 16 6 17 7 5 79 17 7 154 41 18 614 Posio 144 39 14 20 8 5 27 6 2 191 53 22 683 Ranua 144 40 15 24 11 7 44 11 5 213 62 27 698 Rovaniemi 332 86 33 41 19 13 143 35 13 516 141 59 732 Salla 170 49 18 26 12 8 124 29 11 319 90 37 742 Savukoski 183 45 17 16 7 4 75 18 7 273 70 28 751 Simo 67 18 7 18 9 7 37 8 3 122 34 17 758 Sodankylä 217 65 26 25 12 9 86 19 8 327 96 43 845 Tervola 78 22 8 35 14 11 78 17 6 191 53 25 851 Tornio 23 6 2 31 13 10 94 17 7 148 36 19 854 Pello 67 21 8 17 6 4 39 13 4 122 40 16 890 Utsjoki 0 0 0 0 0 0 0 0 0 0 0 0 976 Ylitornio 76 19 7 35 15 11 71 17 6 182 52 24 Total 2 104 582 223 396 174 122 1 159 268 103 3 659 1 024 448 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 216 Table 8b. The biomass of the tree compartments available for energy wood by tree species in mature stands on forest land by forestry centres. Forestry centre Pine Spruce Broadleaved tree species All tree species Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Municipality 1 000 t Åland 035 Brändö 6 8 4 4 5 5 15 16 043 Eckerö 22 32 21 18 10 11 52 61 060 Finström 23 33 24 22 14 15 61 70 062 Föglö 28 38 21 19 10 11 59 68 065 Geta 13 18 11 10 4 5 28 33 076 Hammarland 25 36 24 21 13 14 61 72 170 Jomala 25 37 27 24 13 14 64 75 295 Kumlinge 16 19 2 1 2 3 20 23 318 Kökar 0 0 0 0 5 2 5 2 417 Lemland 21 31 23 20 13 14 57 65 438 Lumparland 8 11 7 6 3 3 18 20 478 Mariehamn-Maarianhamina 1 1 1 1 1 1 2 3 736 Saltvik 29 41 25 22 9 10 62 73 766 Sottunga 2 3 2 1 1 1 5 5 771 Sund 22 32 18 17 8 8 48 57 941 Vårdö 18 25 15 13 5 5 37 43 Total 256 366 223 198 115 121 594 685 Rannikko/Etelärannikko 049 Espoo-Esbo 26 36 67 64 25 27 117 126 078 Hanko-Hangö 18 27 31 29 5 6 55 63 091 Helsinki-Helsingfors 15 21 26 24 18 19 60 65 092 Vantaa-Vanda 14 21 35 33 24 25 73 79 149 Ingå-Inkoo 35 47 69 64 25 29 129 141 235 Kauniainen-Grankulla 0 1 1 1 0 0 1 2 257 Kirkkonummi-Kyrkslätt 32 44 71 67 23 25 125 137 322 Kemiönsaari 101 152 114 102 21 24 236 277 407 Lapinjärvi-Lappträsk 22 33 79 76 20 24 120 133 424 Liljendal 7 11 24 23 6 8 38 42 434 Loviisa-Lovisa 5 7 13 12 3 4 21 23 444 Länsi-Turunmaa 127 187 121 107 37 38 285 332 585 Pernå-Pernaja 36 54 116 112 31 38 183 204 638 Porvoo-Borgå 54 78 166 159 45 55 266 293 701 Ruotsinpyhtää-Strömfors 24 36 66 62 20 24 110 122 710 Raasepori 169 252 286 262 63 75 518 590 753 Sipoo-Sibbo 29 41 98 93 25 29 151 163 755 Siuntio-Sjundeå 15 21 38 36 11 12 64 69 Total 729 1 069 1 420 1 326 404 463 2 553 2 858 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 0 1 1 1 1 1 2 2 280 Korsnäs 21 29 42 38 15 19 78 86 287 Kristinestad-Kristiinankaupunki 59 84 143 123 21 27 223 233 288 Kronoby-Kruunupyy 50 70 83 72 31 36 164 179 440 Larsmo-Luoto 10 15 18 15 10 14 38 44 475 Malax-Maalahti 42 58 78 68 32 40 152 166 499 Korsholm-Mustasaari 66 97 204 168 69 83 339 348 545 Närpes-Närpiö 74 94 175 148 26 33 275 275 559 Oravais-Oravainen 13 17 21 19 8 10 42 46 598 Jakobstad-Pietarsaari 5 8 6 5 5 5 16 18 599 Pedersöre-Pedersören kunta 52 74 76 65 35 41 162 180 893 Nykarleby-Uusikaarlepyy 57 79 85 71 25 33 167 183 905 Vaasa-Vasa 18 28 40 35 15 19 74 82 945 Vörå-Maxmo Vöyri-Maksamaa 46 64 85 78 32 40 163 183 Total 514 718 1 059 906 323 401 1 896 2 026 Lounais-Suomi 019 Aura 9 13 12 11 3 4 24 28 050 Eura 67 104 86 77 26 32 179 213 051 Eurajoki 34 52 74 74 18 19 126 145 079 Harjavalta 9 14 17 16 3 3 28 34 099 Honkajoki 33 44 14 12 6 7 53 63 102 Huittinen 32 51 75 69 6 8 114 128 181 Jämijärvi 19 28 30 25 7 11 56 65 202 Kaarina 15 23 19 17 7 7 41 48 214 Kankaanpää 74 108 73 64 21 26 168 198 230 Karvia 53 71 21 18 10 11 84 100 254 Kiikoinen 10 15 26 24 9 8 45 46 271 Kokemäki 35 55 77 74 25 26 138 155 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 217 Table 8b. Continued Forestry centre Pine Spruce Deciduous tree species All tree species Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Municipality 1 000 t 284 Koski T.l. 15 24 33 31 9 12 57 67 304 Kustavi 21 31 14 12 6 5 42 48 319 Köyliö 30 45 36 34 7 8 73 87 400 Laitila 69 106 65 55 18 22 152 183 413 Lavia 28 41 53 50 19 18 100 109 423 Lieto 22 34 30 27 7 8 59 69 430 Loimaa 48 80 144 139 15 18 207 237 442 Luvia 14 19 40 41 8 9 62 70 480 Marttila 17 27 28 26 8 9 53 61 481 Masku 21 32 23 20 8 8 53 61 484 Merikarvia 51 77 79 73 19 24 150 174 503 Mynämäki 64 97 68 60 22 24 154 182 529 Naantali 39 58 36 32 11 11 86 100 531 Nakkila 10 15 26 28 5 6 41 49 537 Noormarkku 35 55 67 65 19 20 121 140 538 Nousiainen 24 37 29 26 8 8 61 72 561 Oripää 11 16 14 13 4 5 29 34 577 Paimio 30 46 38 34 9 10 77 91 608 Pomarkku 43 69 71 70 23 24 137 162 609 Pori 34 49 94 93 18 24 147 165 631 Pyhäranta 19 28 25 21 10 11 53 60 636 Pöytyä 91 138 117 106 33 38 241 282 680 Raisio 5 7 5 4 2 2 11 13 684 Rauma 64 94 76 70 33 36 172 200 704 Rusko 14 22 18 16 5 6 37 44 734 Salo 253 388 401 365 92 105 745 858 738 Sauvo 30 45 34 30 10 10 74 86 747 Siikainen 54 80 77 70 21 24 152 174 761 Somero 32 51 115 111 22 25 170 187 783 Säkylä 20 30 23 21 6 7 48 58 833 Taivassalo 16 23 12 11 6 5 34 39 838 Tarvasjoki 9 15 14 13 4 5 27 32 853 Turku-Åbo 22 34 29 26 11 12 62 72 886 Ulvila 32 50 72 71 21 23 125 143 895 Uusikaupunki 67 98 54 47 23 22 144 167 918 Vehmaa 21 30 17 15 8 7 45 52 Total 1 766 2 670 2 601 2 406 692 773 5 059 5 849 Häme-Uusimaa 015 Artjärvi 9 13 39 37 8 10 56 60 016 Asikkala 45 66 181 173 52 60 278 300 018 Askola 10 15 47 46 11 14 69 75 061 Forssa 16 25 45 45 6 8 67 78 081 Hartola 56 89 151 139 58 68 265 296 082 Hattula 27 40 68 63 24 24 119 127 086 Hausjärvi 19 30 54 54 15 14 88 98 098 Hollola 30 47 110 108 25 26 166 181 103 Humppila 7 12 46 44 1 2 54 58 106 Hyvinkää 17 26 65 64 18 17 101 108 109 Hämeenlinna 137 211 498 488 112 120 747 819 111 Heinola 99 146 165 154 63 78 326 378 165 Janakkala 32 50 131 126 24 25 186 201 169 Jokioinen 7 10 28 26 1 2 36 38 186 Järvenpää 1 1 5 4 1 1 7 7 223 Karjalohja 9 12 16 15 7 9 33 36 224 Karkkila 18 26 67 64 15 17 100 107 245 Kerava 1 2 4 3 2 2 7 7 283 Hämeenkoski 10 15 44 43 9 9 62 67 316 Kärkölä 10 16 41 41 13 10 64 67 398 Lahti 7 10 25 24 6 6 37 39 433 Loppi 44 66 166 158 38 41 249 265 444 Lohja 21 29 52 49 18 19 91 97 504 Myrskylä-Mörskom 11 17 45 44 11 13 68 74 505 Mäntsälä 29 44 130 132 37 30 196 207 532 Nastola 26 37 67 63 25 27 118 127 540 Nummi-Pusula 34 48 80 74 26 28 140 150 543 Nurmijärvi 14 20 51 48 12 13 77 81 560 Orimattila 33 52 119 115 25 26 176 192 576 Padasjoki 49 74 196 187 52 58 297 318 611 Pornainen 7 10 30 29 8 9 44 48 616 Pukkila 6 8 24 23 6 7 35 38 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 218 Table 8b. Continued Forestry centre Pine Spruce Deciduous tree species All tree species Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Municipality 1 000 t 694 Riihimäki 5 7 24 23 5 5 34 36 781 Sysmä 90 129 186 177 101 130 377 436 834 Tammela 56 84 155 147 51 59 262 290 858 Tuusula 9 13 36 34 11 13 56 60 927 Vihti 34 50 110 105 30 32 174 186 981 Ypäjä 7 12 42 39 1 1 51 53 Total 1 042 1 564 3 340 3 210 931 1 031 5 313 5 805 Kaakkois-Suomi 075 Hamina 60 91 115 111 26 34 201 235 142 Iitti 53 81 152 147 47 57 253 284 153 Imatra 15 23 32 31 11 15 58 68 285 Kotka 27 40 31 29 12 15 70 83 286 Kouvola 321 472 539 519 144 172 1 004 1 163 405 Lappeenranta 103 156 212 208 55 69 370 433 416 Lemi 22 33 43 42 9 10 74 86 441 Luumäki 84 129 177 174 38 49 300 352 489 Miehikkälä 33 50 102 98 19 26 155 175 580 Parikkala 35 50 83 81 35 43 153 174 624 Pyhtää-Pyttis 30 43 61 55 22 26 113 124 689 Rautjärvi 32 49 77 73 32 42 141 165 700 Ruokolahti 129 187 160 151 65 78 355 416 739 Savitaipale 71 103 73 68 27 30 171 201 775 Suomenniemi 54 75 40 38 14 16 108 128 831 Taipalsaari 55 76 35 32 20 22 110 129 935 Virolahti 26 39 78 74 12 16 116 129 978 Ylämaa 37 56 100 98 21 27 157 181 Total 1 188 1 752 2 110 2 027 609 747 3 907 4 526 Pirkanmaa 020 Akaa 5 8 10 10 3 3 18 21 108 Hämeenkyrö 28 42 79 76 21 25 128 143 143 Ikaalinen 61 92 135 129 32 37 228 258 177 Juupajoki 23 36 68 67 12 14 104 116 211 Kangasala 39 59 121 119 45 39 205 217 250 Kihniö 43 60 33 28 11 13 87 102 289 Kuhmalahti 12 19 42 39 12 13 66 71 310 Kylmäkoski 13 19 25 23 5 6 43 49 418 Lempäälä 10 17 77 75 17 16 104 107 508 Mänttä-Vilppula 45 71 181 177 30 37 257 284 536 Nokia 24 38 62 59 12 12 98 109 562 Orivesi 69 108 217 211 43 49 329 368 581 Parkano 105 152 100 83 26 34 231 268 604 Pirkkala 3 5 21 19 5 4 28 29 619 Punkalaidun 30 52 92 86 7 8 129 147 635 Pälkäne 38 59 169 166 33 34 240 259 702 Ruovesi 72 112 234 229 36 44 343 385 790 Sastamala 82 133 233 224 38 42 353 398 837 Tampere 43 66 133 129 33 36 209 231 887 Urjala 33 53 111 104 9 12 153 169 908 Valkeakoski 19 28 49 48 15 16 83 93 922 Vesilahti 25 38 86 84 15 18 127 140 936 Virrat 157 223 208 186 36 44 401 453 980 Ylöjärvi 108 164 271 260 55 65 434 489 Total 1 089 1 653 2 757 2 630 552 621 4 398 4 904 Etelä-Savo 046 Enonkoski 38 58 78 74 26 34 142 165 090 Heinävesi 104 154 306 297 67 85 476 536 097 Hirvensalmi 70 104 96 88 52 65 218 257 171 Joroinen 54 84 168 163 30 38 253 286 178 Juva 163 246 280 268 82 93 524 607 213 Kangasniemi 135 212 229 218 53 65 416 496 246 Kerimäki 52 78 112 109 37 43 201 230 491 Mikkeli 235 354 349 328 124 147 708 829 507 Mäntyharju 176 252 161 149 65 77 403 478 588 Pertunmaa 40 62 85 79 33 40 159 181 593 Pieksämäki 169 252 407 390 73 94 650 737 618 Punkaharju 50 73 105 104 29 32 183 209 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 219 Table 8b. Continued Forestry centre Pine Spruce Deciduous tree species All tree species Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Municipality 1 000 t 623 Puumala 151 201 78 68 53 60 282 330 681 Rantasalmi 54 84 99 95 39 48 192 227 696 Ristiina 106 151 106 99 42 51 254 301 740 Savonlinna 150 221 254 239 85 102 489 562 768 Sulkava 75 107 86 81 34 38 196 225 Total 1 823 2 695 2 999 2 849 923 1 113 5 745 6 657 Etelä-Pohjanmaa 005 Alajärvi 109 157 69 62 27 30 205 248 010 Alavus 92 128 47 39 27 23 166 191 052 Evijärvi 22 29 33 27 14 16 69 73 074 Halsua 42 58 15 11 24 23 80 93 095 Himanka 22 30 29 26 11 11 62 66 145 Ilmajoki 57 75 93 77 18 24 168 175 151 Isojoki 75 99 104 88 19 24 197 212 152 Isokyrö 20 25 32 27 10 14 62 66 164 Jalasjärvi 85 115 55 46 18 20 157 181 217 Kannus 36 49 35 30 15 16 86 95 218 Karijoki 14 18 33 28 6 7 52 53 232 Kauhajoki 125 160 120 99 31 37 276 296 233 Kauhava 103 132 89 70 50 55 241 257 236 Kaustinen 25 34 25 21 12 12 62 67 272 Kokkola-Karleby 107 149 130 109 57 64 294 322 300 Kuortane 55 82 45 40 12 13 111 135 301 Kurikka 78 100 135 114 31 39 245 253 399 Laihia 37 48 73 61 19 27 129 136 403 Lappajärvi 41 54 34 28 19 19 94 101 408 Lapua 52 70 60 51 28 30 140 151 421 Lestijärvi 32 44 34 29 22 22 88 94 584 Perho 60 80 46 39 31 32 137 151 743 Seinäjoki 127 170 114 91 36 43 276 304 759 Soini 49 71 46 42 16 18 112 131 846 Teuva 37 47 89 76 17 20 142 142 849 Toholampi 46 64 48 40 18 21 113 125 863 Töysä 43 64 41 36 11 11 94 111 924 Veteli 34 46 37 32 15 15 85 94 934 Vimpeli 20 28 23 20 10 10 53 59 942 Vähäkyrö 10 14 17 16 8 10 34 40 989 Ähtäri 78 112 96 89 22 26 196 227 Total 1 731 2 350 1 845 1 564 653 734 4 228 4 648 Keski-Suomi 077 Hankasalmi 39 63 141 140 27 35 207 238 172 Joutsa 90 142 198 182 87 104 375 427 179 Jyväskylä 95 153 306 292 64 74 465 520 182 Jämsä 129 204 372 363 58 72 559 638 216 Kannonkoski 43 64 83 77 22 26 148 167 226 Karstula 83 120 112 101 43 46 237 267 249 Keuruu 126 187 280 267 53 64 459 519 256 Kinnula 43 59 54 47 23 24 119 129 265 Kivijärvi 53 77 73 67 24 26 150 171 275 Konnevesi 39 61 153 149 26 31 218 242 291 Kuhmoinen 62 97 213 207 32 36 306 341 312 Kyyjärvi 36 51 34 30 15 17 85 98 410 Laukaa 44 70 142 139 25 34 211 243 435 Luhanka 31 45 47 45 26 27 105 117 495 Multia 78 113 138 129 39 41 255 283 500 Muurame 11 18 46 45 9 9 66 72 592 Petäjävesi 27 44 86 83 12 15 126 142 601 Pihtipudas 58 76 148 138 34 41 240 255 729 Saarijärvi 116 173 248 229 62 69 425 470 850 Toivakka 34 55 68 63 23 27 125 144 892 Uurainen 20 32 63 61 10 12 93 105 931 Viitasaari 71 105 236 214 57 55 364 374 992 Äänekoski 70 107 218 215 37 46 326 367 Total 1 396 2 117 3 461 3 282 808 931 5 665 6 330 Pohjois-Savo 140 Iisalmi 24 33 143 142 20 25 187 200 174 Juankoski 26 36 122 120 21 22 168 179 204 Kaavi 52 77 181 176 33 31 266 284 227 Karttula 38 59 134 132 29 36 201 226 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 220 Table 8b. Continued Forestry centre Pine Spruce Deciduous tree species All tree species Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Municipality 1 000 t 239 Keitele 20 30 86 86 15 17 120 132 263 Kiuruvesi 39 52 152 144 34 47 225 243 297 Kuopio 88 121 411 403 78 90 578 615 402 Lapinlahti 21 28 131 131 17 20 169 180 420 Leppävirta 110 157 450 446 76 100 636 703 476 Maaninka 18 26 138 136 16 18 172 181 534 Nilsiä 40 55 204 203 27 32 271 289 595 Pielavesi 50 73 240 232 33 41 322 346 686 Rautalampi 49 75 116 114 29 37 194 227 687 Rautavaara 59 85 174 164 34 31 268 280 749 Siilinjärvi 15 22 113 114 12 14 141 150 762 Sonkajärvi 59 84 178 169 37 36 274 289 778 Suonenjoki 70 107 207 201 40 52 317 360 844 Tervo 28 44 70 68 23 30 121 141 857 Tuusniemi 37 54 182 179 30 35 249 268 915 Varkaus 48 71 125 124 34 41 206 236 916 Varpaisjärvi 23 32 95 94 15 18 134 144 921 Vesanto 28 44 79 79 17 23 123 146 925 Vieremä 34 47 109 102 26 29 169 178 Total 976 1 411 3 839 3 758 696 827 5 511 5 997 Pohjois-Karjala 146 Ilomantsi 134 188 385 365 125 128 644 681 167 Joensuu 160 238 600 553 133 137 892 928 176 Juuka 97 143 274 254 67 67 438 464 248 Kesälahti 40 55 66 62 22 23 128 140 260 Kitee 63 89 180 170 49 52 292 311 276 Kontiolahti 62 91 150 139 42 44 253 274 309 Outokumpu 44 65 54 51 20 22 118 139 422 Lieksa 245 366 418 391 153 151 816 907 426 Liperi 59 87 116 112 36 38 211 237 541 Nurmes 115 172 316 298 102 81 533 551 607 Polvijärvi 64 90 92 83 42 44 198 218 707 Rääkkylä 46 67 77 75 26 28 149 169 848 Tohmajärvi 46 69 188 174 40 43 275 286 911 Valtimo 36 53 135 128 38 36 209 217 Total 1 211 1 774 3 050 2 854 895 894 5 157 5 522 Kainuu 105 Hyrynsalmi 136 201 300 280 70 70 505 551 205 Kajaani 133 188 125 118 54 47 311 353 290 Kuhmo 628 973 777 704 183 166 1 588 1 843 578 Paltamo 74 107 169 157 40 42 283 306 620 Puolanka 130 179 525 483 121 113 777 775 697 Ristijärvi 54 80 171 161 25 28 251 268 765 Sotkamo 205 301 407 381 124 98 736 780 777 Suomussalmi 613 890 840 706 217 205 1 670 1 801 785 Vaala 82 106 55 47 37 39 175 192 Total 2 056 3 025 3 369 3 035 872 808 6 297 6 868 Pohjois-Pohjanmaa 009 Alavieska 14 16 15 13 9 9 39 38 069 Haapajärvi 43 56 79 73 30 35 152 164 071 Haapavesi 44 55 74 66 33 39 152 159 072 Hailuoto 19 24 8 6 2 3 29 33 084 Haukipudas 40 51 48 40 13 16 102 107 139 Ii 101 128 120 104 40 42 261 274 208 Kalajoki 31 36 29 25 20 20 80 81 244 Kempele 6 8 7 6 3 4 17 18 255 Kiiminki 29 37 42 37 8 10 79 83 305 Kuusamo 530 701 1 072 908 296 191 1 898 1 799 317 Kärsämäki 29 38 60 54 25 28 114 120 425 Liminka 33 41 21 17 19 20 73 79 436 Lumijoki 12 15 9 7 6 7 27 29 483 Merijärvi 17 19 19 16 9 9 45 44 494 Muhos 50 63 34 29 23 24 107 117 535 Nivala 26 33 43 39 18 19 86 91 563 Oulainen 36 40 44 39 21 22 101 101 564 Oulu 114 148 116 100 31 37 261 284 567 Oulunsalo 6 8 5 5 2 3 14 16 615 Pudasjärvi 216 306 563 491 174 143 953 940 625 Pyhäjoki 36 39 33 26 23 24 92 89 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 221 Table 8b. Continued Forestry centre Pine Spruce Deciduous tree species All tree species Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Municipality 1 000 t 626 Pyhäsalmi 64 78 148 133 46 57 258 268 630 Pyhäntä 56 72 51 43 27 29 134 145 678 Raahe 43 53 46 40 25 25 115 118 691 Reisjärvi 27 36 38 35 14 15 79 86 746 Sievi 38 49 39 35 20 21 97 106 748 Siikajoki 60 75 44 37 38 39 142 151 791 Siikalatva 112 149 102 83 92 97 306 329 832 Taivalkoski 177 250 559 485 139 103 874 839 859 Tyrnävä 28 35 18 15 14 15 60 64 889 Utajärvi 115 148 79 68 42 42 236 258 926 Vihanti 33 42 37 32 17 18 87 93 972 Yli-Ii 49 62 54 47 17 16 119 125 977 Ylivieska 33 40 42 37 23 24 98 100 Total 2 268 2 951 3 699 3 189 1 321 1 208 7 288 7 348 Lapland 047 Enontekiö 238 314 50 41 215 109 503 464 148 Inari 2 491 3 414 560 493 854 461 3 906 4 368 240 Kemi 1 1 23 17 7 7 31 25 241 Keminmaa 16 21 107 87 47 52 170 160 261 Kittilä 283 384 945 785 624 413 1 852 1 582 273 Kolari 181 226 143 121 100 73 423 419 320 Kemijärvi 185 219 274 226 159 112 617 557 498 Muonio 262 331 282 233 108 62 653 626 583 Pelkosenniemi 57 77 226 184 98 72 381 334 614 Posio 181 217 426 364 122 79 728 660 683 Ranua 78 112 218 189 89 68 385 368 698 Rovaniemi 443 500 670 557 304 243 1 418 1 300 732 Salla 319 427 1 291 1 095 342 224 1 952 1 746 742 Savukoski 389 577 1 044 906 334 226 1 767 1 709 751 Simo 46 59 131 107 47 47 225 213 758 Sodankylä 713 970 1 351 1 112 668 425 2 732 2 507 845 Tervola 36 46 202 172 103 109 341 327 851 Tornio 22 28 207 171 94 90 323 289 854 Pello 73 109 118 99 83 72 274 280 890 Utsjoki 1 2 7 6 5 3 13 10 976 Ylitornio 64 88 113 89 45 41 222 218 Total 6 081 8 119 8 386 7 054 4 449 2 987 18 916 18 161 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 222 Table 8c. The biomass of the tree compartments available for energy wood by tree species in young thin- ning stands on forest land available for wood supply by forestry centres. Stands with proposed cutting for the first 5-year period selected. The assessed removal by stand ranges from 28 to 43 % of the growing stock. Forestry centre Pine Spruce Broadleaved tree species All tree species Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Municipality 1 000 t Åland 035 Brändö 2 1 0 0 0 0 4 1 0 6 1 1 043 Eckerö 9 3 1 2 1 1 12 2 1 23 6 2 060 Finström 9 3 1 3 1 1 16 3 1 27 7 3 062 Föglö 8 2 1 2 1 0 8 2 1 18 4 2 065 Geta 4 1 0 1 0 0 4 1 0 9 2 1 076 Hammarland 11 3 1 3 1 1 16 3 1 30 7 3 170 Jomala 11 3 1 3 1 1 17 3 1 30 7 3 295 Kumlinge 1 0 0 0 0 0 2 0 0 3 1 0 318 Kökar 0 0 0 0 0 0 0 0 0 0 0 0 417 Lemland 10 3 1 3 1 1 16 3 1 29 7 3 438 Lumparland 3 1 0 1 0 0 3 1 0 6 1 1 478 Mariehamn-Maarianhamina 0 0 0 0 0 0 1 0 0 2 0 0 736 Saltvik 8 2 1 2 1 0 8 2 1 18 4 2 766 Sottunga 1 0 0 0 0 0 1 0 0 1 0 0 771 Sund 8 2 1 2 1 0 8 2 1 18 4 2 941 Vårdö 5 1 1 1 0 0 4 1 0 10 2 1 Total 90 26 10 22 8 6 120 23 8 232 56 24 Rannikko/Etelärannikko 049 Espoo-Esbo 14 4 1 9 3 2 12 2 1 36 9 4 078 Hanko-Hangö 5 1 0 3 1 1 4 1 0 11 3 1 091 Helsinki-Helsingfors 5 1 1 3 1 1 4 1 0 12 3 2 092 Vantaa-Vanda 8 2 1 6 2 2 11 2 1 25 7 3 149 Ingå-Inkoo 17 5 2 7 3 2 11 2 1 35 9 5 235 Kauniainen-Grankulla 0 0 0 0 0 0 0 0 0 0 0 0 257 Kirkkonummi-Kyrkslätt 19 5 2 9 3 2 13 2 1 41 10 5 322 Kemiönsaari 25 6 2 9 3 3 14 2 1 49 12 6 407 Lapinjärvi-Lappträsk 17 4 2 17 5 4 15 3 1 49 12 6 424 Liljendal 6 1 1 5 2 1 4 1 0 15 4 2 434 Loviisa-Lovisa 4 1 0 2 1 0 1 0 0 7 2 1 444 Länsi-Turunmaa 28 7 2 12 5 4 23 4 2 63 15 8 585 Pernå-Pernaja 28 7 2 21 6 5 17 3 1 66 16 8 638 Porvoo-Borgå 40 10 4 27 9 7 28 5 1 96 23 12 701 Ruotsinpyhtää-Strömfors 18 4 2 16 5 4 14 2 1 48 12 6 710 Raasepori 56 15 5 23 8 7 40 7 3 120 30 14 753 Sipoo-Sibbo 18 5 2 15 5 4 14 3 1 48 13 6 755 Siuntio-Sjundeå 11 3 1 7 3 2 13 2 1 31 7 4 Total 319 81 29 190 65 50 242 41 14 751 187 93 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 0 0 0 0 0 0 0 0 0 0 0 0 280 Korsnäs 14 4 1 4 2 1 10 2 1 28 7 4 287 Kristinestad-Kristiinankaupunki 55 14 6 11 4 3 17 3 1 83 21 10 288 Kronoby-Kruunupyy 67 16 6 14 6 5 46 8 3 127 30 14 440 Larsmo-Luoto 10 3 1 2 1 1 8 1 0 21 5 2 475 Malax-Maalahti 31 8 3 8 3 3 24 4 2 63 16 8 499 Korsholm-Mustasaari 64 17 6 25 11 9 45 8 3 133 36 19 545 Närpes-Närpiö 48 12 5 13 5 4 16 2 1 78 20 10 559 Oravais-Oravainen 9 2 1 4 2 1 8 1 1 21 5 3 598 Jakobstad-Pietarsaari 5 1 0 2 1 1 6 1 0 13 3 1 599 Pedersöre-Pedersören kunta 72 18 7 15 6 5 53 9 4 139 33 15 893 Nykarleby-Uusikaarlepyy 36 9 4 14 5 4 24 4 1 73 18 9 905 Vaasa-Vasa 10 3 1 4 1 1 10 2 1 24 6 3 945 Vörå-Maxmo Vöyri-Maksamaa 33 9 3 12 5 4 30 5 2 74 19 9 Total 454 116 45 129 53 41 295 50 20 878 219 106 Lounais-Suomi 019 Aura 3 1 0 1 1 0 3 0 0 7 2 1 050 Eura 23 7 2 19 7 5 26 4 2 68 18 9 051 Eurajoki 18 5 2 24 9 7 22 3 1 64 18 10 079 Harjavalta 8 2 1 8 3 2 7 1 0 23 6 3 099 Honkajoki 20 5 2 2 1 0 5 1 0 27 7 3 102 Huittinen 27 7 3 27 9 7 24 4 2 77 20 11 181 Jämijärvi 14 4 1 4 1 1 7 1 0 25 6 3 202 Kaarina 5 1 0 2 1 1 5 1 0 13 3 2 214 Kankaanpää 51 13 5 8 3 2 19 3 1 78 19 9 230 Karvia 31 8 3 2 1 1 7 1 1 41 10 4 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 223 Table 8c. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Municipality 1 000 t 254 Kiikoinen 10 2 1 5 2 1 5 1 0 19 5 2 271 Kokemäki 28 7 3 19 6 4 23 4 1 70 17 9 284 Koski T.l. 5 1 1 1 1 0 6 2 0 13 4 1 304 Kustavi 4 1 0 2 1 1 3 1 0 9 2 1 319 Köyliö 4 1 1 5 2 1 6 1 0 16 4 2 400 Laitila 20 6 2 13 5 4 13 2 1 46 13 7 413 Lavia 24 6 2 12 4 3 7 1 0 43 11 5 423 Lieto 6 2 1 3 1 1 4 1 0 13 3 2 430 Loimaa 23 6 2 25 9 6 11 2 1 59 16 9 442 Luvia 7 2 1 8 3 2 9 1 0 24 6 3 480 Marttila 7 2 1 4 1 1 7 1 0 18 5 2 481 Masku 6 2 1 3 1 1 5 1 0 14 3 2 484 Merikarvia 31 8 3 10 4 3 14 2 1 55 14 7 503 Mynämäki 25 6 2 12 4 3 16 3 1 53 13 7 529 Naantali 8 2 1 3 1 1 6 1 0 17 4 2 531 Nakkila 8 2 1 9 3 2 9 1 0 26 7 4 537 Noormarkku 19 5 2 11 4 3 10 1 1 41 10 5 538 Nousiainen 8 2 1 4 1 1 5 1 0 17 4 2 561 Oripää 5 1 0 2 1 1 3 0 0 9 2 1 577 Paimio 9 2 1 3 1 1 6 1 0 19 5 2 608 Pomarkku 18 4 2 8 3 2 5 1 0 31 8 4 609 Pori 12 3 1 16 5 4 18 2 1 46 11 6 631 Pyhäranta 6 2 1 5 2 2 5 1 0 16 5 3 636 Pöytyä 36 9 3 17 6 5 25 4 2 77 19 10 680 Raisio 1 0 0 1 0 0 1 0 0 3 1 0 684 Rauma 17 5 2 13 6 4 15 2 1 45 13 7 704 Rusko 5 1 0 2 1 1 4 1 0 11 3 1 734 Salo 90 23 8 38 14 11 74 12 5 201 49 24 738 Sauvo 10 2 1 4 2 1 8 1 0 22 5 3 747 Siikainen 39 10 4 8 3 2 16 3 1 62 16 7 761 Somero 25 6 2 18 7 6 25 4 2 68 17 10 783 Säkylä 4 1 0 2 1 1 5 1 0 11 3 1 833 Taivassalo 4 1 0 1 1 0 3 0 0 8 2 1 838 Tarvasjoki 4 1 0 2 1 1 3 0 0 8 2 1 853 Turku-Åbo 7 2 1 3 1 1 7 1 0 17 4 2 886 Ulvila 27 7 3 18 6 4 19 3 1 65 15 8 895 Uusikaupunki 18 5 2 9 4 3 15 2 1 42 11 6 918 Vehmaa 6 1 1 3 1 1 4 1 0 13 3 2 Total 786 204 76 420 152 117 545 88 34 1 751 444 228 Häme-Uusimaa 015 Artjärvi 7 2 1 7 2 2 9 1 0 22 6 3 016 Asikkala 23 6 2 29 10 8 38 6 2 90 22 12 018 Askola 9 2 1 10 3 2 10 2 0 28 7 4 061 Forssa 6 2 1 5 2 2 9 2 1 20 5 3 081 Hartola 19 6 2 31 10 8 39 6 3 89 23 14 082 Hattula 15 4 1 20 7 5 24 4 1 59 15 8 086 Hausjärvi 17 4 1 18 6 4 13 2 1 48 12 6 098 Hollola 17 5 2 24 8 6 27 5 2 68 17 9 103 Humppila 6 2 1 2 1 1 1 0 0 10 3 1 106 Hyvinkää 13 3 1 18 6 4 14 3 1 45 12 6 109 Hämeenlinna 90 24 8 115 39 28 106 18 6 312 81 42 111 Heinola 37 9 4 29 9 7 39 7 3 105 26 13 165 Janakkala 22 6 2 31 10 8 32 5 2 84 22 11 169 Jokioinen 5 1 0 2 1 1 2 0 0 9 2 1 186 Järvenpää 1 0 0 1 0 0 2 0 0 4 1 1 223 Karjalohja 5 2 1 3 1 1 7 1 0 15 4 2 224 Karkkila 15 4 1 12 4 3 15 3 1 43 10 5 245 Kerava 1 0 0 1 0 0 1 0 0 3 1 0 283 Hämeenkoski 8 2 1 14 5 3 14 3 1 36 9 5 316 Kärkölä 9 2 1 16 5 4 13 3 1 38 10 5 398 Lahti 3 1 0 3 1 1 6 1 0 12 3 2 433 Loppi 27 7 3 29 10 7 30 5 2 86 22 12 444 Lohja 15 4 1 10 4 3 22 4 1 47 11 5 504 Myrskylä-Mörskom 9 2 1 11 4 3 12 2 1 32 8 4 505 Mäntsälä 25 6 2 40 13 9 25 5 2 90 23 12 532 Nastola 8 2 1 10 4 3 18 3 1 36 9 5 540 Nummi-Pusula 27 7 3 16 6 5 27 4 2 70 17 9 543 Nurmijärvi 13 3 1 14 5 4 21 4 1 48 12 6 560 Orimattila 22 6 2 25 9 6 26 4 1 73 19 10 576 Padasjoki 29 7 3 32 11 8 30 5 2 91 23 12 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 224 Table 8c. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Municipality 1 000 t 611 Pornainen 7 2 1 8 2 2 9 2 0 23 6 3 616 Pukkila 5 1 0 7 2 2 9 2 0 20 5 3 694 Riihimäki 4 1 0 6 2 1 6 1 0 16 4 2 781 Sysmä 17 5 2 36 12 10 59 10 4 112 26 16 834 Tammela 36 9 3 22 8 7 30 5 2 88 22 11 858 Tuusula 8 2 1 9 3 2 13 2 1 30 8 4 927 Vihti 27 7 2 21 7 6 33 6 2 81 20 10 981 Ypäjä 6 2 1 2 1 1 2 0 0 10 3 1 Total 612 160 58 688 232 174 795 135 46 2 095 526 279 Kaakkois-Suomi 075 Hamina 55 13 5 24 8 6 25 4 2 105 26 13 142 Iitti 27 7 3 28 9 7 34 6 2 89 21 11 153 Imatra 8 2 1 8 2 2 7 1 0 24 6 3 285 Kotka 17 4 2 10 3 2 11 2 1 37 9 5 286 Kouvola 174 41 16 84 28 22 108 19 7 366 87 45 405 Lappeenranta 67 17 7 39 13 10 47 8 3 153 37 20 416 Lemi 17 4 2 7 2 2 14 2 1 37 9 4 441 Luumäki 66 16 6 27 9 7 40 7 3 133 32 16 489 Miehikkälä 43 10 4 17 6 5 18 3 1 78 20 10 580 Parikkala 37 10 4 35 11 9 50 9 4 122 30 16 624 Pyhtää-Pyttis 17 4 2 13 4 3 14 2 1 44 11 6 689 Rautjärvi 22 6 2 28 9 7 27 4 2 77 19 11 700 Ruokolahti 77 19 8 41 13 10 59 10 4 177 41 22 739 Savitaipale 53 12 5 16 5 4 31 5 2 100 22 11 775 Suomenniemi 35 8 3 10 3 2 13 2 1 57 13 6 831 Taipalsaari 39 9 3 9 3 2 15 3 1 64 14 7 935 Virolahti 35 9 3 16 6 5 17 3 1 68 17 9 978 Ylämaa 41 10 4 16 6 4 16 3 1 73 18 9 Total 830 201 78 427 141 110 546 92 37 1 803 434 225 Pirkanmaa 020 Akaa 2 1 0 4 1 1 6 1 0 12 3 2 108 Hämeenkyrö 23 5 2 17 6 5 27 4 2 66 15 8 143 Ikaalinen 49 12 5 24 8 6 34 6 2 107 26 13 177 Juupajoki 12 3 1 10 3 3 13 2 1 35 8 5 211 Kangasala 9 3 1 11 4 3 26 4 2 45 10 6 250 Kihniö 42 11 4 5 2 1 11 2 1 57 14 6 289 Kuhmalahti 7 2 1 8 3 2 9 1 0 24 6 3 310 Kylmäkoski 5 1 1 4 2 1 7 1 0 17 4 2 418 Lempäälä 1 0 0 7 3 2 13 2 1 22 5 3 508 Mänttä-Vilppula 35 9 3 27 10 7 39 6 2 102 25 13 536 Nokia 6 2 1 7 2 2 14 2 1 27 6 3 562 Orivesi 41 10 4 33 11 9 44 7 3 118 28 15 581 Parkano 93 24 9 15 5 4 27 5 2 135 33 15 604 Pirkkala 0 0 0 2 1 1 4 1 0 7 1 1 619 Punkalaidun 14 3 1 8 3 2 9 2 0 32 8 4 635 Pälkäne 25 7 2 42 14 10 40 7 2 106 28 15 702 Ruovesi 47 12 4 35 12 9 44 7 3 127 31 16 790 Sastamala 109 24 9 45 16 12 66 11 5 219 51 26 837 Tampere 24 6 2 21 7 6 29 4 2 74 17 10 887 Urjala 17 4 1 8 3 2 16 3 1 42 10 5 908 Valkeakoski 4 1 0 7 2 2 15 2 1 26 5 3 922 Vesilahti 7 2 1 6 2 2 9 1 1 22 6 3 936 Virrat 117 30 12 28 9 7 35 6 2 180 45 21 980 Ylöjärvi 80 20 8 39 14 11 57 9 4 176 43 22 Total 770 191 73 414 143 109 595 96 38 1 778 430 220 Etelä-Savo 046 Enonkoski 16 4 2 20 6 5 16 3 1 52 13 8 090 Heinävesi 73 19 7 69 24 19 57 11 4 199 54 30 097 Hirvensalmi 17 5 2 21 7 5 36 6 3 75 18 10 171 Joroinen 46 11 5 19 8 6 42 8 3 107 26 14 178 Juva 94 23 9 45 15 12 52 9 4 191 47 25 213 Kangasniemi 58 14 6 33 11 9 49 9 4 140 34 19 246 Kerimäki 33 9 4 35 11 9 50 9 4 118 29 16 491 Mikkeli 99 25 10 66 22 17 90 16 7 255 63 34 507 Mäntyharju 95 22 8 37 12 9 54 9 4 186 43 21 588 Pertunmaa 17 5 2 22 7 6 30 5 2 70 17 10 593 Pieksämäki 111 26 11 70 25 20 111 20 8 292 71 39 618 Punkaharju 35 9 4 25 8 6 43 7 3 103 25 13 623 Puumala 119 26 10 15 5 4 46 7 3 180 38 17 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 225 Table 8c. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Municipality 1 000 t 681 Rantasalmi 32 9 3 33 11 9 33 6 2 99 25 15 696 Ristiina 46 11 4 21 7 5 31 5 2 98 23 12 740 Savonlinna 87 22 9 72 23 19 86 15 6 246 60 34 768 Sulkava 48 12 5 23 7 6 42 7 3 114 26 14 Total 1 028 249 99 627 210 166 870 155 64 2 525 614 329 Etelä-Pohjanmaa 005 Alajärvi 76 19 8 9 4 3 25 5 2 110 28 12 010 Alavus 51 13 5 3 1 1 12 2 1 66 17 7 052 Evijärvi 28 6 3 7 3 2 20 3 1 55 13 6 074 Halsua 27 7 3 1 0 0 10 2 1 38 10 4 095 Himanka 23 5 2 3 1 1 14 3 1 40 9 4 145 Ilmajoki 44 11 4 7 3 2 14 3 1 64 17 7 151 Isojoki 56 15 6 7 3 2 16 3 1 79 20 9 152 Isokyrö 15 4 2 4 2 1 7 1 0 25 6 3 164 Jalasjärvi 54 14 5 5 2 2 14 2 1 73 19 8 217 Kannus 35 8 3 4 2 1 22 4 2 61 14 6 218 Karijoki 14 3 1 2 1 0 3 0 0 18 4 2 232 Kauhajoki 81 23 9 8 3 2 21 4 2 110 30 13 233 Kauhava 87 20 8 19 8 6 48 8 3 155 36 17 236 Kaustinen 28 7 3 4 2 1 16 3 1 48 11 5 272 Kokkola-Karleby 107 26 10 16 7 5 64 11 4 188 44 20 300 Kuortane 33 9 4 3 1 1 8 2 1 45 11 5 301 Kurikka 64 16 6 9 4 3 17 3 1 90 23 11 399 Laihia 28 7 3 7 3 2 13 2 1 49 12 6 403 Lappajärvi 33 8 3 8 3 2 20 4 1 61 14 7 408 Lapua 54 13 5 11 4 3 28 5 2 93 22 10 421 Lestijärvi 39 10 4 7 2 2 23 4 2 69 16 7 584 Perho 56 14 5 7 3 2 25 5 2 87 21 9 743 Seinäjoki 98 25 10 13 6 4 33 6 2 145 36 16 759 Soini 52 13 5 7 3 2 18 3 1 77 19 8 846 Teuva 42 10 4 4 1 1 7 1 0 52 12 6 849 Toholampi 36 9 3 6 2 2 17 3 1 59 14 6 863 Töysä 23 6 2 2 1 1 4 1 0 29 8 3 924 Veteli 36 8 3 5 2 1 19 4 1 61 14 6 934 Vimpeli 21 5 2 3 1 1 10 2 1 34 8 4 942 Vähäkyrö 8 2 1 2 1 1 8 1 1 18 4 2 989 Ähtäri 80 20 8 13 5 4 32 6 2 124 31 14 Total 1 427 355 140 206 82 62 590 107 42 2 223 544 244 Keski-Suomi 077 Hankasalmi 33 8 3 13 5 4 35 6 3 80 19 10 172 Joutsa 37 10 4 34 12 10 62 10 5 134 32 18 179 Jyväskylä 56 14 6 37 13 11 64 10 4 156 38 21 182 Jämsä 80 20 8 52 19 15 66 11 4 198 50 28 216 Kannonkoski 41 10 4 14 5 4 25 5 2 81 19 9 226 Karstula 81 19 7 19 7 6 39 7 3 139 33 16 249 Keuruu 101 25 10 38 14 10 62 11 4 202 50 24 256 Kinnula 44 11 4 8 3 2 22 4 2 74 18 8 265 Kivijärvi 45 11 4 11 4 3 21 4 1 77 19 9 275 Konnevesi 33 9 4 15 6 5 31 6 2 79 20 11 291 Kuhmoinen 30 8 3 21 8 6 26 4 2 77 19 11 312 Kyyjärvi 36 8 3 6 2 2 16 3 1 59 14 6 410 Laukaa 33 8 3 17 6 5 32 6 2 82 20 11 435 Luhanka 5 1 1 7 3 2 15 2 1 27 7 4 495 Multia 61 15 6 15 6 4 29 5 2 106 26 12 500 Muurame 6 2 1 5 2 1 9 1 1 20 5 3 592 Petäjävesi 26 7 3 10 4 3 21 4 1 58 15 7 601 Pihtipudas 128 31 13 41 16 11 62 11 5 230 59 29 729 Saarijärvi 105 25 10 36 13 10 72 13 5 214 52 25 850 Toivakka 22 5 2 13 4 3 22 4 2 57 14 7 892 Uurainen 19 5 2 6 2 2 14 3 1 39 10 5 931 Viitasaari 102 26 11 28 12 10 109 24 9 238 63 29 992 Äänekoski 62 16 7 26 10 8 44 8 3 132 35 18 Total 1 186 295 118 473 177 139 900 165 64 2 559 637 320 Pohjois-Savo 140 Iisalmi 43 11 5 35 14 11 73 14 5 152 39 21 174 Juankoski 28 7 3 18 8 6 36 7 2 82 22 12 204 Kaavi 61 15 6 24 10 8 45 8 3 130 34 17 227 Karttula 31 8 3 21 8 6 38 7 3 90 23 12 239 Keitele 39 10 4 11 5 4 26 5 2 76 20 9 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 226 Table 8c. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Municipality 1 000 t 263 Kiuruvesi 85 22 9 34 14 11 112 22 8 232 58 28 297 Kuopio 59 15 6 53 22 19 91 16 6 203 53 30 402 Lapinlahti 39 10 4 31 12 10 62 12 4 132 34 18 420 Leppävirta 69 17 7 87 30 25 103 19 7 259 66 38 476 Maaninka 26 7 3 21 8 7 44 8 3 91 23 13 534 Nilsiä 40 11 4 30 12 10 55 10 4 126 33 18 595 Pielavesi 85 22 9 56 23 18 103 19 7 244 65 34 686 Rautalampi 34 8 3 27 10 8 37 7 3 98 25 14 687 Rautavaara 84 21 8 26 11 9 52 10 4 162 43 21 749 Siilinjärvi 17 4 2 16 7 5 31 6 2 65 17 9 762 Sonkajärvi 109 28 11 40 17 13 91 17 7 240 62 31 778 Suonenjoki 48 12 5 30 11 9 47 9 4 125 32 17 844 Tervo 19 5 2 17 6 5 26 5 2 63 16 9 857 Tuusniemi 28 7 3 30 12 10 51 10 3 110 29 16 915 Varkaus 20 5 2 27 9 7 32 7 2 80 21 11 916 Varpaisjärvi 26 7 3 19 8 6 34 6 2 78 21 11 921 Vesanto 29 8 3 16 6 5 22 4 2 67 17 9 925 Vieremä 69 17 7 27 11 8 71 14 5 166 42 20 Total 1 091 279 110 697 274 219 1 282 242 89 3 070 795 419 Pohjois-Karjala 146 Ilomantsi 396 98 36 50 24 18 108 23 9 554 145 63 167 Joensuu 190 46 18 80 32 25 155 33 12 426 112 55 176 Juuka 160 38 14 43 18 14 69 13 5 272 68 33 248 Kesälahti 29 7 3 16 5 4 27 5 2 72 17 9 260 Kitee 56 15 6 36 13 10 69 14 5 161 41 21 276 Kontiolahti 56 14 6 29 11 8 52 11 4 137 36 18 309 Outokumpu 31 8 3 19 7 6 30 6 2 80 21 11 422 Lieksa 430 108 41 81 35 27 165 33 13 676 176 81 426 Liperi 42 11 4 29 11 8 50 9 4 121 31 16 541 Nurmes 132 32 12 39 16 13 85 16 6 256 65 31 607 Polvijärvi 56 14 5 25 9 7 51 10 4 133 33 16 707 Rääkkylä 23 5 2 19 7 5 44 7 3 86 19 10 848 Tohmajärvi 73 17 7 33 13 10 53 11 4 158 41 21 911 Valtimo 57 15 6 22 9 7 50 10 4 129 34 16 Total 1 731 427 163 521 210 163 1 008 202 75 3 260 840 401 Kainuu 105 Hyrynsalmi 85 24 9 28 12 8 67 14 5 180 49 22 205 Kajaani 151 36 14 22 10 8 108 21 8 282 67 30 290 Kuhmo 350 98 39 59 27 20 154 34 13 563 159 72 578 Paltamo 69 17 7 24 10 6 53 11 4 147 38 17 620 Puolanka 133 37 14 36 15 10 95 18 7 264 70 31 697 Ristijärvi 57 15 6 18 8 6 36 7 3 112 29 14 765 Sotkamo 163 43 17 50 21 16 139 29 11 351 93 44 777 Suomussalmi 283 89 34 34 16 12 95 21 8 412 125 55 785 Vaala 101 24 9 8 3 2 53 10 4 161 37 16 Total 1 392 384 149 280 120 89 799 165 63 2 470 668 301 Pohjois-Pohjanmaa 009 Alavieska 27 6 2 3 1 1 10 2 1 39 9 4 069 Haapajärvi 82 19 7 18 8 6 47 9 3 147 36 17 071 Haapavesi 107 25 10 17 8 6 55 10 4 179 42 19 072 Hailuoto 10 2 1 1 0 0 7 1 1 18 4 2 084 Haukipudas 36 9 3 4 2 1 15 3 1 55 13 6 139 Ii 100 26 10 20 8 6 49 10 4 169 44 19 208 Kalajoki 81 18 7 7 3 2 31 6 2 120 27 12 244 Kempele 7 2 1 1 0 0 4 1 0 12 3 1 255 Kiiminki 32 8 3 2 1 1 12 2 1 46 11 4 305 Kuusamo 209 68 24 18 11 7 65 16 7 292 94 38 317 Kärsämäki 93 21 8 13 6 5 44 8 3 150 35 16 425 Liminka 44 11 4 3 1 1 31 6 2 78 18 8 436 Lumijoki 13 3 1 1 1 0 12 2 1 26 6 3 483 Merijärvi 25 6 2 3 1 1 9 2 1 36 9 4 494 Muhos 50 12 5 4 1 1 24 5 2 78 18 8 535 Nivala 40 9 4 10 4 3 23 4 2 73 18 8 563 Oulainen 47 11 4 9 4 3 23 4 2 80 20 9 564 Oulu 126 31 12 14 5 4 51 10 4 191 46 19 567 Oulunsalo 5 1 0 1 0 0 3 0 0 8 2 1 615 Pudasjärvi 367 102 38 39 15 10 121 27 10 528 144 59 625 Pyhäjoki 67 15 6 6 3 2 25 5 2 98 23 10 626 Pyhäsalmi 142 33 13 36 15 11 88 16 6 267 65 30 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 227 Table 8c. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Stem including bark Branches Foliage Municipality 1 000 t 630 Pyhäntä 86 21 8 8 3 2 46 9 3 140 33 14 678 Raahe 51 13 5 4 2 1 28 5 2 83 20 8 691 Reisjärvi 59 13 5 11 5 4 28 5 2 97 23 11 746 Sievi 89 20 8 13 6 5 38 7 3 140 34 16 748 Siikajoki 86 21 8 6 2 2 50 9 4 142 33 14 791 Siikalatva 242 58 23 22 9 6 156 30 11 421 97 40 832 Taivalkoski 115 36 13 10 4 3 35 8 3 160 49 19 859 Tyrnävä 35 9 3 2 1 1 19 4 1 56 13 5 889 Utajärvi 131 32 12 11 4 3 54 11 4 196 47 19 926 Vihanti 45 11 4 5 2 1 25 5 2 75 17 7 972 Yli-Ii 60 16 6 8 3 2 30 6 2 97 25 10 977 Ylivieska 52 12 5 10 4 3 28 5 2 89 21 10 Total 2 763 700 269 338 145 105 1 284 252 97 4 385 1 097 470 Lapland 047 Enontekiö 1 0 0 0 0 0 4 1 0 5 1 0 148 Inari 79 23 10 0 0 0 0 0 0 80 24 10 240 Kemi 1 0 0 3 1 1 6 1 0 10 3 2 241 Keminmaa 16 4 2 27 11 9 43 9 3 86 24 14 261 Kittilä 102 35 13 11 5 3 51 13 5 164 53 21 273 Kolari 83 25 10 13 7 5 39 10 3 135 42 18 320 Kemijärvi 185 46 17 34 15 9 105 22 9 324 82 35 498 Muonio 5 2 1 2 1 1 5 1 0 12 3 2 583 Pelkosenniemi 55 15 6 16 7 4 75 17 7 146 38 17 614 Posio 122 33 12 18 7 5 25 6 2 165 46 19 683 Ranua 137 38 14 23 10 7 43 11 5 204 60 25 698 Rovaniemi 320 84 32 40 18 12 142 35 13 501 137 57 732 Salla 153 44 16 25 11 7 117 28 10 294 83 34 742 Savukoski 139 35 13 14 6 4 68 16 6 221 57 24 751 Simo 60 16 6 17 8 7 35 8 3 112 31 15 758 Sodankylä 176 52 21 21 10 7 78 17 7 275 80 36 845 Tervola 73 20 8 34 14 11 76 16 6 182 51 24 851 Tornio 23 6 2 31 13 10 93 17 7 146 36 19 854 Pello 64 20 8 13 6 4 38 13 4 116 38 15 890 Utsjoki 0 0 0 0 0 0 0 0 0 0 0 0 976 Ylitornio 73 19 7 34 15 11 70 17 6 177 50 24 Total 1 866 518 199 376 165 116 1 114 257 98 3 355 940 414 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 228 Table 8d. The biomass of the tree compartments available for energy wood by tree species in mature stands on forest land available for wood supply by forestry centres. Forestry centre Pine Spruce Broadleaved tree species All tree species Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Municipality 1 000 t Åland 035 Brändö 6 8 4 4 5 5 15 16 043 Eckerö 22 32 21 18 10 11 52 61 060 Finström 23 33 24 22 14 15 61 69 062 Föglö 27 37 20 18 10 10 57 66 065 Geta 13 18 11 10 4 5 28 32 076 Hammarland 25 36 24 21 13 14 61 71 170 Jomala 25 37 26 24 13 14 64 75 295 Kumlinge 16 19 2 1 2 3 20 23 318 Kökar 0 0 0 0 4 2 5 2 417 Lemland 21 30 22 20 12 14 56 64 438 Lumparland 8 11 7 6 3 3 17 20 478 Mariehamn-Maarianhamina 1 1 1 1 1 1 2 3 736 Saltvik 28 40 24 22 9 9 61 71 766 Sottunga 2 3 2 1 1 1 5 5 771 Sund 21 31 18 16 8 8 47 56 941 Vårdö 18 25 15 13 5 5 37 43 Total 254 362 220 196 114 120 588 678 Rannikko/Etelärannikko 049 Espoo-Esbo 23 32 59 56 23 25 105 113 078 Hanko-Hangö 16 24 27 25 5 6 48 55 091 Helsinki-Helsingfors 15 21 25 23 18 18 58 62 092 Vantaa-Vanda 13 20 33 30 23 24 69 73 149 Ingå-Inkoo 33 45 66 61 24 27 123 134 235 Kauniainen-Grankulla 0 0 1 1 0 0 1 1 257 Kirkkonummi-Kyrkslätt 27 38 60 56 19 21 106 115 322 Kemiönsaari 96 144 108 97 20 23 224 263 407 Lapinjärvi-Lappträsk 22 33 79 75 20 24 120 132 424 Liljendal 7 11 24 23 6 8 38 42 434 Loviisa-Lovisa 5 7 13 12 3 4 20 23 444 Länsi-Turunmaa 118 174 111 98 35 35 263 307 585 Pernå-Pernaja 35 52 111 107 30 36 176 196 638 Porvoo-Borgå 53 77 161 154 44 54 259 285 701 Ruotsinpyhtää-Strömfors 24 36 66 62 20 24 110 122 710 Raasepori 155 231 256 235 56 67 468 533 753 Sipoo-Sibbo 28 40 95 90 25 29 147 159 755 Siuntio-Sjundeå 14 20 36 33 11 11 60 65 Total 685 1 005 1 329 1 241 380 435 2 394 2 681 Rannikko/Pohjanmaan rannikko 231 Kaskinen-Kaskö 0 1 1 1 1 1 2 2 280 Korsnäs 19 27 40 35 13 17 72 80 287 Kristinestad-Kristiinankaupunki 59 83 142 122 21 26 222 232 288 Kronoby-Kruunupyy 50 70 83 72 31 36 164 178 440 Larsmo-Luoto 9 14 16 13 9 12 34 39 475 Malax-Maalahti 41 57 76 66 30 38 146 161 499 Korsholm-Mustasaari 63 92 185 153 60 74 308 319 545 Närpes-Närpiö 73 93 173 146 25 32 271 271 559 Oravais-Oravainen 13 17 21 19 8 10 42 46 598 Jakobstad-Pietarsaari 5 8 6 5 5 5 16 17 599 Pedersöre-Pedersören kunta 51 74 75 65 35 41 161 180 893 Nykarleby-Uusikaarlepyy 56 77 83 69 24 33 164 179 905 Vaasa-Vasa 16 24 35 31 14 17 65 72 945 Vörå-Maxmo Vöyri-Maksamaa 43 59 78 72 28 36 149 168 Total 499 696 1 014 869 303 378 1 816 1 944 Lounais-Suomi 019 Aura 9 13 12 11 3 4 24 28 050 Eura 66 103 84 76 26 31 177 210 051 Eurajoki 33 51 73 73 18 19 124 143 079 Harjavalta 9 14 16 16 3 3 28 33 099 Honkajoki 33 43 14 12 6 7 52 62 102 Huittinen 32 50 74 68 6 7 111 125 181 Jämijärvi 15 22 27 24 7 9 49 55 202 Kaarina 15 23 19 17 7 7 41 47 214 Kankaanpää 69 100 69 60 20 24 157 184 230 Karvia 50 68 20 17 10 11 81 96 254 Kiikoinen 10 15 26 24 9 8 45 46 271 Kokemäki 35 54 77 73 25 26 136 153 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 229 Table 8d. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Municipality 1 000 t 284 Koski T.l. 15 24 33 31 9 12 57 67 304 Kustavi 21 30 14 12 6 5 41 48 319 Köyliö 27 40 32 30 5 6 64 77 400 Laitila 65 99 60 50 15 19 139 168 413 Lavia 28 41 51 48 18 17 97 106 423 Lieto 20 31 27 24 6 7 53 62 430 Loimaa 48 79 143 138 15 18 206 235 442 Luvia 12 17 38 39 7 8 57 64 480 Marttila 17 26 28 25 8 9 52 61 481 Masku 20 31 22 19 8 8 49 57 484 Merikarvia 50 76 78 71 19 24 147 170 503 Mynämäki 61 92 64 57 21 23 146 172 529 Naantali 38 56 34 30 11 11 83 97 531 Nakkila 10 15 26 28 5 6 41 49 537 Noormarkku 34 54 65 63 19 20 118 136 538 Nousiainen 23 36 28 25 7 8 59 69 561 Oripää 11 16 14 13 4 5 29 34 577 Paimio 28 43 35 31 8 9 71 83 608 Pomarkku 43 68 71 70 23 23 137 161 609 Pori 27 38 74 73 15 19 116 131 631 Pyhäranta 19 28 24 21 10 11 53 60 636 Pöytyä 87 132 111 101 32 36 230 269 680 Raisio 5 7 5 4 2 2 11 13 684 Rauma 63 92 73 67 32 35 168 194 704 Rusko 14 21 17 15 5 5 36 42 734 Salo 240 368 380 346 86 99 706 813 738 Sauvo 30 45 34 30 10 10 73 85 747 Siikainen 53 79 76 69 21 24 151 172 761 Somero 31 50 113 108 22 25 166 183 783 Säkylä 15 24 22 20 6 6 43 50 833 Taivassalo 16 23 12 11 6 5 34 39 838 Tarvasjoki 9 14 13 12 4 4 26 30 853 Turku-Åbo 20 31 26 24 10 10 56 64 886 Ulvila 32 50 71 70 20 22 124 142 895 Uusikaupunki 65 96 53 46 23 21 141 163 918 Vehmaa 21 30 17 15 8 7 45 52 Total 1 692 2 558 2 495 2 308 661 738 4 849 5 604 Häme-Uusimaa 015 Artjärvi 9 13 39 37 8 10 56 60 016 Asikkala 44 66 179 171 52 59 275 296 018 Askola 10 15 47 46 11 14 69 75 061 Forssa 16 25 45 44 6 8 67 78 081 Hartola 56 88 149 137 57 67 262 293 082 Hattula 27 39 66 61 23 24 116 124 086 Hausjärvi 19 30 54 54 15 14 88 98 098 Hollola 30 46 109 107 25 26 164 179 103 Humppila 7 12 46 44 1 2 54 58 106 Hyvinkää 17 26 64 63 18 17 98 105 109 Hämeenlinna 129 199 466 458 106 113 701 769 111 Heinola 95 141 160 150 62 76 317 367 165 Janakkala 32 49 130 126 24 25 186 200 169 Jokioinen 7 10 28 26 1 2 36 38 186 Järvenpää 1 1 4 4 1 1 6 6 223 Karjalohja 9 12 15 14 7 8 31 34 224 Karkkila 17 25 65 63 15 17 98 105 245 Kerava 1 2 4 3 2 2 7 7 283 Hämeenkoski 10 15 43 43 9 8 62 67 316 Kärkölä 10 16 41 41 12 10 63 66 398 Lahti 6 10 24 22 6 5 36 38 433 Loppi 43 63 161 153 36 39 240 255 444 Lohja 20 29 50 47 18 19 88 94 504 Myrskylä-Mörskom 11 17 45 44 11 13 68 74 505 Mäntsälä 29 44 129 130 37 30 194 204 532 Nastola 26 37 66 63 25 27 117 127 540 Nummi-Pusula 34 48 80 74 26 28 140 150 543 Nurmijärvi 14 19 51 48 11 13 76 80 560 Orimattila 33 52 118 115 24 26 176 192 576 Padasjoki 45 68 180 172 48 53 273 292 611 Pornainen 7 10 29 29 8 9 44 48 616 Pukkila 5 8 23 22 6 6 34 37 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 230 Table 8d. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Municipality 1 000 t 694 Riihimäki 5 7 24 23 5 5 34 36 781 Sysmä 89 128 184 175 100 129 374 431 834 Tammela 50 75 135 127 45 52 230 255 858 Tuusula 9 13 36 34 11 13 56 59 927 Vihti 30 43 96 91 27 29 153 163 981 Ypäjä 7 12 42 39 1 1 50 52 Total 1 008 1 513 3 228 3 102 902 998 5 138 5 613 Kaakkois-Suomi 075 Hamina 60 90 113 109 25 33 198 232 142 Iitti 53 80 151 146 47 56 251 283 153 Imatra 15 23 32 31 11 15 58 68 285 Kotka 26 39 30 28 11 14 68 81 286 Kouvola 312 459 527 508 142 170 982 1 136 405 Lappeenranta 102 155 211 206 55 69 368 430 416 Lemi 22 33 43 42 9 10 74 86 441 Luumäki 84 129 177 174 38 49 300 352 489 Miehikkälä 33 50 102 98 19 26 154 174 580 Parikkala 35 50 82 80 35 43 151 173 624 Pyhtää-Pyttis 28 41 58 53 21 24 107 118 689 Rautjärvi 32 49 77 73 32 42 141 164 700 Ruokolahti 129 187 160 151 65 78 354 416 739 Savitaipale 69 100 72 67 26 30 167 196 775 Suomenniemi 54 75 40 37 14 16 107 128 831 Taipalsaari 50 68 31 28 18 20 99 117 935 Virolahti 26 39 77 74 12 16 115 129 978 Ylämaa 36 55 98 96 20 27 155 178 Total 1 166 1 721 2 082 2 000 601 739 3 849 4 460 Pirkanmaa 020 Akaa 5 8 10 10 3 3 18 20 108 Hämeenkyrö 25 38 70 67 18 22 113 127 143 Ikaalinen 57 87 127 122 31 35 215 244 177 Juupajoki 22 34 65 63 12 13 99 111 211 Kangasala 37 56 113 111 43 37 194 204 250 Kihniö 43 60 33 28 11 13 87 101 289 Kuhmalahti 12 18 41 38 12 13 65 70 310 Kylmäkoski 13 19 25 23 5 6 43 49 418 Lempäälä 10 16 77 74 16 15 103 106 508 Mänttä-Vilppula 44 69 174 170 30 36 248 275 536 Nokia 23 36 60 57 11 12 94 105 562 Orivesi 69 107 213 208 43 48 325 363 581 Parkano 104 149 97 80 26 33 227 263 604 Pirkkala 3 5 20 18 5 4 27 28 619 Punkalaidun 30 52 92 86 7 8 129 146 635 Pälkäne 38 59 168 165 33 34 239 258 702 Ruovesi 64 99 208 203 33 41 306 344 790 Sastamala 78 127 219 209 36 40 334 376 837 Tampere 43 65 131 127 33 36 207 228 887 Urjala 32 52 109 102 9 12 151 167 908 Valkeakoski 16 25 44 43 13 14 73 82 922 Vesilahti 21 31 66 63 13 15 99 110 936 Virrat 155 221 207 184 35 43 397 448 980 Ylöjärvi 103 155 249 238 52 63 404 455 Total 1 049 1 590 2 616 2 490 531 598 4 196 4 678 Etelä-Savo 046 Enonkoski 28 43 63 59 22 28 113 131 090 Heinävesi 97 144 286 278 63 80 447 503 097 Hirvensalmi 63 94 87 79 47 58 196 231 171 Joroinen 53 83 165 161 30 38 249 281 178 Juva 159 240 275 264 80 91 514 594 213 Kangasniemi 132 209 226 215 51 64 409 488 246 Kerimäki 51 76 111 108 37 43 198 227 491 Mikkeli 229 345 341 320 122 144 691 809 507 Mäntyharju 174 249 159 148 65 76 398 473 588 Pertunmaa 40 62 85 79 33 40 158 181 593 Pieksämäki 167 249 403 387 72 93 642 729 618 Punkaharju 47 69 99 98 28 31 174 198 623 Puumala 143 191 71 62 52 59 266 312 681 Rantasalmi 45 70 89 86 35 43 169 199 696 Ristiina 104 149 105 99 41 50 251 298 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 231 Table 8d. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Municipality 1 000 t 740 Savonlinna 134 197 230 217 78 94 442 508 768 Sulkava 74 105 85 79 34 37 192 222 Total 1 742 2 576 2 880 2 737 889 1 070 5 511 6 383 Etelä-Pohjanmaa 005 Alajärvi 109 157 69 62 27 30 205 248 010 Alavus 92 128 47 39 27 23 166 191 052 Evijärvi 22 29 33 27 14 16 69 73 074 Halsua 41 58 14 11 24 23 80 92 095 Himanka 21 28 27 24 11 10 59 63 145 Ilmajoki 57 74 93 76 18 24 168 175 151 Isojoki 70 94 103 87 18 24 191 205 152 Isokyrö 20 25 32 27 10 14 62 66 164 Jalasjärvi 85 115 54 46 18 20 157 181 217 Kannus 35 49 35 30 15 16 86 95 218 Karijoki 14 18 33 28 6 7 52 53 232 Kauhajoki 120 153 118 98 31 37 268 288 233 Kauhava 103 131 88 70 50 55 240 256 236 Kaustinen 25 34 25 21 12 12 61 67 272 Kokkola-Karleby 104 144 126 106 55 62 285 312 300 Kuortane 55 82 45 40 12 13 111 135 301 Kurikka 78 99 134 113 31 39 243 251 399 Laihia 36 47 71 60 19 27 127 134 403 Lappajärvi 41 53 34 28 19 19 94 101 408 Lapua 52 70 60 50 28 30 139 150 421 Lestijärvi 30 41 31 26 21 21 82 88 584 Perho 54 73 40 34 29 29 123 136 743 Seinäjoki 127 169 113 90 35 43 275 302 759 Soini 49 70 46 41 16 18 111 130 846 Teuva 36 46 88 75 16 20 140 141 849 Toholampi 46 63 48 40 18 20 111 124 863 Töysä 43 64 41 36 11 11 94 111 924 Veteli 33 46 36 32 14 15 84 92 934 Vimpeli 20 28 22 20 10 10 53 58 942 Vähäkyrö 10 14 17 16 8 10 34 40 989 Ähtäri 77 110 93 86 22 25 191 222 Total 1 703 2 314 1 816 1 539 643 724 4 163 4 577 Keski-Suomi 077 Hankasalmi 39 63 141 139 27 35 206 237 172 Joutsa 85 133 189 174 84 100 358 407 179 Jyväskylä 93 151 303 288 63 74 459 513 182 Jämsä 127 201 365 355 57 71 549 627 216 Kannonkoski 43 63 81 75 22 25 145 163 226 Karstula 82 120 111 100 43 46 236 266 249 Keuruu 125 186 275 262 53 64 452 511 256 Kinnula 42 57 53 46 22 23 117 126 265 Kivijärvi 49 71 69 62 22 25 140 159 275 Konnevesi 38 59 147 144 25 30 210 233 291 Kuhmoinen 56 89 194 189 30 34 280 312 312 Kyyjärvi 35 50 34 30 15 17 84 97 410 Laukaa 43 69 142 139 25 34 210 242 435 Luhanka 30 43 46 44 25 27 102 114 495 Multia 77 113 136 127 39 41 252 280 500 Muurame 11 17 43 42 8 9 62 67 592 Petäjävesi 27 44 86 83 12 15 125 142 601 Pihtipudas 57 75 145 135 34 40 236 251 729 Saarijärvi 112 167 235 217 60 67 408 451 850 Toivakka 33 53 66 61 23 27 123 141 892 Uurainen 20 32 63 61 10 12 93 105 931 Viitasaari 70 104 234 212 57 54 361 371 992 Äänekoski 69 106 215 212 37 45 321 363 Total 1 364 2 066 3 372 3 197 792 913 5 528 6 177 Pohjois-Savo 140 Iisalmi 24 33 143 142 20 24 187 200 174 Juankoski 25 36 121 119 20 22 167 177 204 Kaavi 52 77 179 174 32 30 263 281 227 Karttula 38 59 134 131 29 35 200 226 239 Keitele 20 29 85 85 15 17 120 132 263 Kiuruvesi 39 51 150 142 34 47 223 240 297 Kuopio 86 117 388 381 76 88 550 586 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 232 Table 8d. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Municipality 1 000 t 402 Lapinlahti 21 28 130 130 17 20 168 178 420 Leppävirta 107 153 439 435 74 98 619 685 476 Maaninka 18 26 137 136 16 18 171 180 534 Nilsiä 40 54 199 198 26 32 265 283 595 Pielavesi 49 73 239 231 33 41 321 345 686 Rautalampi 47 72 110 108 28 36 185 217 687 Rautavaara 55 79 160 150 31 29 246 258 749 Siilinjärvi 15 22 113 114 12 14 141 150 762 Sonkajärvi 58 83 173 165 36 36 268 283 778 Suonenjoki 69 105 203 197 40 51 311 354 844 Tervo 27 42 68 67 22 29 117 137 857 Tuusniemi 36 53 179 176 30 35 245 263 915 Varkaus 45 67 121 121 32 39 199 227 916 Varpaisjärvi 22 30 93 92 15 18 130 140 921 Vesanto 28 44 78 78 17 23 123 145 925 Vieremä 33 46 105 98 25 29 163 172 Total 953 1 378 3 747 3 668 681 811 5 381 5 857 Pohjois-Karjala 146 Ilomantsi 120 175 355 337 117 119 593 630 167 Joensuu 158 236 594 547 132 136 884 920 176 Juuka 95 141 268 248 67 66 430 455 248 Kesälahti 40 54 65 62 22 23 127 139 260 Kitee 63 88 179 169 49 52 291 309 276 Kontiolahti 60 88 145 135 41 43 246 266 309 Outokumpu 44 65 53 51 20 22 117 138 422 Lieksa 201 302 353 330 139 134 693 766 426 Liperi 58 85 115 110 35 38 208 233 541 Nurmes 101 151 290 273 91 74 482 498 607 Polvijärvi 63 88 91 82 41 44 195 214 707 Rääkkylä 45 66 76 74 26 27 147 167 848 Tohmajärvi 46 69 187 174 40 43 274 286 911 Valtimo 34 50 125 119 35 34 194 202 Total 1 130 1 659 2 896 2 709 854 854 4 880 5 222 Kainuu 105 Hyrynsalmi 118 171 233 214 64 64 415 449 205 Kajaani 129 183 120 113 52 46 301 342 290 Kuhmo 485 738 532 479 141 127 1 158 1 344 578 Paltamo 73 106 167 155 40 42 280 303 620 Puolanka 120 163 343 307 95 87 559 557 697 Ristijärvi 52 77 167 157 25 28 245 262 765 Sotkamo 182 267 346 324 98 82 626 672 777 Suomussalmi 476 692 635 525 184 170 1 295 1 387 785 Vaala 77 100 52 44 36 38 166 182 Total 1 714 2 497 2 595 2 318 735 682 5 044 5 497 Pohjois-Pohjanmaa 009 Alavieska 14 16 15 13 9 9 39 38 069 Haapajärvi 43 56 79 72 29 35 151 163 071 Haapavesi 44 55 74 65 33 38 151 159 072 Hailuoto 18 22 7 6 2 3 27 31 084 Haukipudas 40 51 48 40 13 16 101 107 139 Ii 99 126 118 102 40 41 257 269 208 Kalajoki 30 35 27 23 19 20 77 78 244 Kempele 6 8 7 6 3 4 17 18 255 Kiiminki 27 34 40 35 8 9 75 78 305 Kuusamo 444 579 865 728 239 155 1 548 1 462 317 Kärsämäki 29 38 60 54 25 28 114 120 425 Liminka 30 38 20 16 18 19 68 73 436 Lumijoki 12 15 9 7 6 7 27 29 483 Merijärvi 17 19 19 16 9 9 45 44 494 Muhos 49 62 33 28 23 24 104 114 535 Nivala 26 33 43 39 18 19 86 91 563 Oulainen 36 40 44 38 21 22 101 101 564 Oulu 112 146 115 98 31 37 258 281 567 Oulunsalo 6 8 5 5 2 3 14 15 615 Pudasjärvi 189 265 393 340 138 113 721 717 625 Pyhäjoki 36 39 33 26 23 24 91 88 626 Pyhäsalmi 64 76 146 131 45 56 254 263 630 Pyhäntä 55 70 49 42 26 29 130 140 678 Raahe 43 53 46 40 25 25 114 118 Working Papers of the Finnish Forest Research Institute 227 http://www.metla.fi/julkaisut/workingpapers/2012/mwp227.htm 233 Table 8d. Continued Forestry centre Pine Spruce Broadleaved tree species All tree species Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Branches, foliage and stem residual Stumps and big roots Municipality 1 000 t 691 Reisjärvi 27 35 37 34 14 15 78 85 746 Sievi 38 49 39 35 20 21 97 106 748 Siikajoki 59 74 44 36 38 38 140 148 791 Siikalatva 109 146 100 81 91 96 301 324 832 Taivalkoski 153 212 399 341 110 80 661 633 859 Tyrnävä 28 35 18 15 14 15 60 64 889 Utajärvi 111 143 77 66 41 41 229 251 926 Vihanti 33 42 37 32 17 18 86 92 972 Yli-Ii 49 62 54 47 17 16 119 125 977 Ylivieska 33 39 42 37 23 24 97 100 Total 2 109 2 721 3 140 2 695 1 191 1 109 6 440 6 525 Lapland 047 Enontekiö 197 267 35 28 169 83 400 378 148 Inari 1 334 1 875 145 129 403 212 1 882 2 215 240 Kemi 1 1 22 17 7 7 30 25 241 Keminmaa 13 17 99 80 45 49 157 147 261 Kittilä 206 283 676 555 462 318 1 344 1 157 273 Kolari 170 212 134 113 90 65 394 390 320 Kemijärvi 181 214 261 216 155 109 597 539 498 Muonio 207 249 212 176 76 42 495 467 583 Pelkosenniemi 50 67 197 162 91 67 337 296 614 Posio 143 174 305 261 97 62 545 496 683 Ranua 74 105 203 176 86 65 363 346 698 Rovaniemi 409 465 611 505 285 228 1 305 1 199 732 Salla 268 361 998 852 277 182 1 543 1 395 742 Savukoski 238 340 557 480 213 149 1 008 968 751 Simo 38 48 109 87 41 41 188 177 758 Sodankylä 358 464 820 659 395 258 1 573 1 381 845 Tervola 32 41 181 153 98 105 311 299 851 Tornio 21 28 205 170 92 89 319 286 854 Pello 70 104 107 89 78 66 255 260 890 Utsjoki 1 1 1 1 2 1 4 3 976 Ylitornio 61 85 106 83 42 39 210 206 Total 4 072 5 399 5 983 4 994 3 205 2 237 13 260 12 630