Statistikk innhold
Statistics on
The National Forest Inventory
The statistics provide information on the condition and development of Norway’s forest resources. They give figures on growing stock, annual increments, forest area, age distribution, type of land and tree species.
Selected figures from these statistics
- Growing stock and annual increment. Volume inside barkDownload table as ...Growing stock and annual increment. Volume inside bark
2023 Change, per cent 1 000 cubic meter Share 2022 - 2023 2014 - 2023 Growing stock Total 1 004 545 100 0.6 8.1 Spruce 438 224 44 0.6 7.6 Pine 311 518 31 0.7 8.7 Broad-leaved 254 803 25 0.4 8.1 Annual increment Total 24 051 100 0.2 -7.2 Spruce 12 622 52 -0.1 -8.7 Pine 5 562 23 1.5 -9.0 Broad-leaved 5 867 24 -0.2 -1.8 Explanation of symbolsDownload table as ... - Growing stock and annual increment under bark. 1 000 m³Download table as ...Growing stock and annual increment under bark. 1 000 m³
Growing stock Annual increment Total Spruce Pine Broad-leaved Total Spruce Pine Broad-leaved 2007-2011 877 731 379 823 273 905 224 003 24 942 13 030 5 978 5 935 2008-2012 894 133 387 844 278 516 227 773 25 274 13 261 6 071 5 942 2009-2013 911 711 396 891 282 789 232 031 25 598 13 529 6 117 5 952 2010-2014 929 393 407 099 286 489 235 804 25 912 13 821 6 115 5 975 2011-2015 941 659 412 984 289 685 238 685 26 120 13 927 6 098 6 095 2012-2016 952 104 417 956 292 030 242 117 25 819 13 747 5 920 6 151 2013-2017 964 915 424 432 296 255 244 228 25 421 13 635 5 719 6 068 2014-2018 974 453 427 798 299 754 246 901 24 906 13 332 5 572 6 003 2015-2019 978 478 428 329 301 858 248 291 24 186 12 845 5 451 5 890 2016-2020 987 535 432 963 304 465 250 107 24 061 12 763 5 429 5 869 2017-2021 995 414 436 679 307 202 251 533 24 049 12 827 5 418 5 804 2018-2022 998 735 435 705 309 364 253 666 23 995 12 636 5 481 5 878 2019-2023 1 004 545 438 224 311 518 254 803 24 051 12 622 5 562 5 867 Explanation of symbolsDownload table as ... - Forest and other wooded land by regions. Km²Download table as ...Forest and other wooded land by regions. Km²
2019-2023 2019-2023 2019-2023 2019-2023 2019-2023 2019-2023 Total productive forest area Productive forest land Protected productive forest land Unproductive forest area Forest in total Other wooded land The whole country 85 898 82 242 3 481 34 882 120 780 22 284 Oslo and Viken (2020-2023) 12 142 11 579 545 1 992 14 134 942 Innlandet 22 379 21 508 831 4 091 26 470 2 512 Vestfold og Telemark (2020-2023) 7 110 6 861 198 2 328 9 438 951 Agder 6 501 6 235 251 2 363 8 865 1 279 Rogaland, Vestland and Møre og Romsdal 10 583 10 274 267 5 246 15 829 3 321 Trøndelag - Trööndelage 11 490 10 941 547 5 259 16 749 4 170 Nordland - Nordlánnda 7 051 6 612 438 4 289 11 340 2 510 Troms og Finnmark - Romsa ja Finnmárku (2020-2023) 8 641 8 232 403 9 314 17 954 6 598 Explanation of symbolsDownload table as ... - Productive forest area, by development class. 1 000 hectares and per centDownload table as ...Productive forest area, by development class. 1 000 hectares and per cent1
1 000 hectares Per cent Total Development class I Development class II Development class III Development class IV Development class V Total Development class I Development class II Development class III Development class IV Development class V 2006-2010 3 513 92 779 762 714 1 166 100 3 22 22 20 33 2007-2011 3 510 77 767 783 702 1 180 100 2 22 22 20 34 2008-2012 3 507 74 762 787 711 1 174 100 2 22 22 20 34 2009-2013 3 500 69 745 785 714 1 187 100 2 21 22 20 34 2010-2014 3 499 59 740 786 718 1 196 100 2 21 22 21 34 2011-2015 3 483 61 725 786 718 1 193 100 2 21 23 21 34 2012-2016 3 488 66 711 789 718 1 203 100 2 20 23 21 35 2013-2017 3 483 70 687 792 733 1 201 100 2 20 23 21 35 2014-2018 3 473 70 685 780 737 1 202 100 2 20 22 21 35 2015-2019 3 461 80 673 774 739 1 195 100 2 19 22 21 35 2016-2020 3 450 84 666 775 740 1 186 100 2 19 22 21 34 2017-2021 3 444 85 672 751 750 1 186 100 2 20 22 22 34 2018-2022 3 442 86 683 751 739 1 182 100 3 20 22 21 34 2019-2023 3 431 98 672 740 738 1 183 100 3 20 22 22 34 1Refer to the counties Østfold, Akershus, Oslo, Hedmark, Oppland, Buskerud og Vestfold.These are the only counties that are included in all the inventory cycles presented. As from the inventory cycle 2006-2010, areas above the coniferous forest line are also included. Explanation of symbolsDownload table as ... - Growing stock, by type of land, tree species and regions. 1 000 m³ under barkDownload table as ...Growing stock, by type of land, tree species and regions. 1 000 m³ under bark
2019-2023 Total Productive forest land Other type of land Total Spruce Pine Broad-leaved Total Spruce Pine Broad-leaved Total 1 004 545 880 270 406 609 261 600 212 061 124 275 31 614 49 917 42 743 Oslo and Viken (2020-2023) 180 627 161 852 81 543 53 707 26 602 18 775 8 176 6 844 3 754 Innlandet 246 624 226 979 120 190 75 677 31 112 19 645 7 447 6 594 5 604 Vestfold og Telemark (2020-2023) 105 919 91 569 43 386 26 623 21 560 14 350 4 802 6 086 3 462 Agder 97 936 84 013 26 389 38 120 19 505 13 923 2 298 8 602 3 023 Rogaland, Vestland and Møre og Romsdal 144 423 125 615 40 460 40 466 44 689 18 808 856 8 157 9 795 Trøndelag - Trööndelage 131 886 112 071 71 014 18 631 22 427 19 815 5 693 9 261 4 861 Nordland - Nordlánnda 55 610 45 510 20 656 3 191 21 664 10 100 2 342 2 105 5 654 Troms og Finnmark - Romsa ja Finnmárku (2020-2023) 41 518 32 660 2 973 5 185 24 503 8 858 0 2 268 6 590 Explanation of symbolsDownload table as ... - Annual increment under bark , by type of land, tree species and surveyed regions. 1 000 m3Download table as ...Annual increment under bark , by type of land, tree species and surveyed regions. 1 000 m3
2019-2023 Total Productive forest area Other type of land Total Spruce Pine Broad-leaved Total Spruce Pine Broad-leaved Total 24 051 21 776 12 042 4 798 4 936 2 275 580 764 930 Oslo and Viken (2020-2023) 4 299 4 007 2 230 1 041 736 292 131 91 69 Innlandet 6 087 5 726 3 406 1 567 753 361 145 104 112 Vestfold og Telemark (2020-2023) 2 459 2 212 1 158 510 544 247 86 89 72 Agder 1 973 1 727 788 620 319 246 51 144 51 Rogaland, Vestland and Møre og Romsdal 3 449 3 039 1 478 553 1 008 410 30 121 259 Trøndelag - Trööndelage 3 468 3 119 2 174 313 632 349 90 144 114 Nordland - Nordlánnda 1 466 1 239 674 70 494 227 47 34 147 Troms og Finnmark - Romsa ja Finnmárku (2020-2023) 850 706 133 122 451 144 0 37 107 Explanation of symbolsDownload table as ... - Registered incidence of different habitats in productive forest, by region. Per centDownload table as ...Registered incidence of different habitats in productive forest, by region. Per cent1
2019-2023 Productive forest area below the coniferous forest line Standing dead trees Dead wood lying Trees with nutrient-rich bark Trees with pendant lichens Late succsessions of deciduous Old trees Rich ground vegetation The whole country 100.0 2.5 18.7 0.2 2.9 1.6 2.7 3.3 Oslo and Viken (2020-2023) 100.0 2.6 17.9 0.1 2.7 2.0 3.2 3.8 Innlandet 100.0 1.3 13.2 0.0 5.4 0.8 3.3 1.9 Vestfold og Telemark (2020-2023) 100.0 3.4 26.7 0.7 1.3 3.7 5.2 6.6 Agder 100.0 4.6 19.8 0.3 0.0 5.6 0.4 1.6 Rogaland, Vestland and Møre og Romsdal 100.0 3.2 18.5 0.5 1.2 0.7 1.3 3.2 Trøndelag - Trööndelage 100.0 1.8 21.5 0.3 5.1 1.8 4.3 2.5 Nordland - Nordlánnda 100.0 1.7 25.2 0.6 2.6 0.6 1.3 5.6 Troms og Finnmark - Romsa ja Finnmárku (2020-2023) 100.0 3.8 18.0 0.0 0.0 0.0 0.7 3.6 1Corresponds to the registration of habitats for vulnerable and endangered species (red listed species) in ordinaryforest management planning. Two of more habitats may be registered within the same area. Explanation of symbolsDownload table as ...
About the statistics
The information under «About the statistics» was last updated 5 June 2023.
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Growing stock
Total volume of the standing forest under bark. Comprises trees with a diamter of at least 5 cm at breast height (1.3 metre above ground level).
Annual increment, forest
Annual gross increment in volume in standing forest inside bark.
Development class
Describes the forest's development class from non- regenerated forest to old forest.
Site quality
An expression of the area's capacity to produce wood when stocked with a tree species suitable for the local growing conditions. The site quality of the H40-system is based upon the top height (the average height of the hundred trees per hectare with the largest diameter) of the trees at the age of 40 years at breast height (1.3 m above ground level).
Name: The National Forest Inventory
Topic: Agriculture, forestry, hunting and fishing
Division for Housing, Property, Spatial and Agricultural Statistics
The results are mainly published at region level.
The results are published yearly. The National Forest Inventory has an inventory cycle of five years. From 1994 the assessment is running. A new result based on the registrations from the last 5 years can always be estimated for the regions and for the country.
International reporting of results from The National Forest Inventory are reported by the The Norwegian Institute of Bioeconomy Reasearch.
Microdata are stored by The National Forest Inventory.
The National Forest Inventory is a sample plot inventory aimed at providing data on natural resources and the environment for forest land in Norway. The Inventory is conducted by the Norwegian Forest and Landscape Institute. Inventory work was started in 1919, with the different inventory cycles taking place in the following years:
1: 1919-30 2: 1937-56 3: 1957-64 4: 1964-76 5: 1980-86 6: 1986-93 7: 1994-98 8: 2000-04 9: 2005-09 10: 2010-2014 11: 2015-2019 12: 2020-2024
As from the inventory cycle 2007-2011 Finnmark county was surveyed for the first time.
Each inventory cycle covers the most important forest districts, while inventories in western and northern Norway have been carried out less frequently and are sometimes incomplete.
The most central users of the results from the National Forest Inventory are public administration at national and county level. The results serve as important input for the formation of forestry policies and control the effects of it.
In recent years, the demand for national forestry statistics has increased, and the National Forest Inventory is a central data source. Data from the inventories are used for example in research to develop descriptive models of forest dynamics.
The forest industry is an important user of the data. Among others thing, they need the data for strategic planning in the sawmill and pulp industry. The data are also used by educational institutions and by professionals in agriculture, forestry and environmental protection.
No external users have access to statistics before they are released at 8 a.m. on ssb.no after at least three months’ advance notice in the release calendar. This is one of the most important principles in Statistics Norway for ensuring the equal treatment of users.
Statistics Norway has estimated the productive forest area in The Sample Surveys of Agriculture and Forestry 2004 and 2008, The Census of Agriculture and Forestry 1979 and 1989. The Farm Register of the Norwegian Agricultural Authority also contains information about productive forest area at property level. Total productive forest area based on the Farm Register is published in the annual structural statsitics of forestry.
The statistics are developed, produced and disseminated pursuant to Act no. 32 of 21 June 2019 relating to official statistics and Statistics Norway (the Statistics Act).
Not relevant
As from the inventory cycle 2007-2011, the statistics include all counties. Finnnmark was surveyed for the first time during the five-year cycle 2007-2011. As from the inventory cycle 2005-2009, areas above the coniferous forest line are also included. Protected or other closed-off areas of productive forest are not included.
The figures are published annually.
The only data source is the National Forest Inventory's database. One of the main tasks of the National Forest Inventory is the assessment of timber resources. Data are collected so that the volume can be computed for different tree species, diameters and quality classes. Numbers of trees and annual increments are also calculated.
The National Forest Inventory's data collection is based on data from permanent sample plots. For the entire country except Finnmark, a systematic sample plot inventory in a bond by 3 x 3 kilometres is established. In the present inventory cycle, sample plots for Finnmark are also established. The plots are visited every five years and the survey forms the basis for statistics for the whole of Norway. In order to publish data by county, temporary plots are established in the counties when each county is appraised. Each county is appraised every fifteen years. An extensive number of attributes concerning forest conditions are recorded on the plots, some of which describe the area. Parameters that characterise level of development and species composition of the vegetation, certain aspects of biodiversity, utilisation and yield capacity of the land, forest treatment, conditions surrounding forest operations, etc., are measured or estimated. Inside a 250 square metre circle, every tree with a diameter of more than five centimetres in breast height (1.3 metres above ground level) is callipered.
The sampling design has changed considerably over the years. The first two cycles were carried out as strip sampling inventories. A system of parallel strips was established throughout the area of interest, and measurements were taken within these strips. In the middle of the 1950s, the strip sampling was replaced by a systematic sample plot inventory, a method which has also been used subsequently. However, minor alterations concerning sampling design have been made several times.
An important difference between the period 1986-1993 and the previous inventory cycles was the introduction of permanent sample plots. A sub-sample of the established plots was marked in order to be able to re-measure the exact same area in future inventories. This was to provide greater possibilities for detecting changes in forest conditions. The permanent plots were re-measured during the period 1994-1998, according to a specific pattern. The inventory of one single year will provide representative results for the whole country.
Highly conspicuous markings are avoided in order to prevent the location of the plots from being too obvious to passers-by. The permanent plots should represent a random sample of the forests in Norway, and should not be treated any different than the rest of the forests. A total of approximately 16 000 permanent sample plots have been established, of which about 10 500 are located on productive forest and other wooded land below the coniferous forest limit. On average, the sampled area comprises about 3 x 10 -5 of the surveyable area.
Before each field season, training is held for the field crew. During the field season, the office staff visit the field workers at least once and some controls are carried out. In most cases, a control of the assessment is done. About 5 per cent of the sample plots are surveyed once more.
Corrections of the field instructions are made before every field season. A main revision is carried out every five years.
In order to estimate figures, for instance for a county, the area factor must be known. In a 3 x 3 kilometre net the area factor will be close to nine square kilometres or 900 hectares. Each sample plot will represent 900 hectares. For each tree measured, a volume with and without bark and the increment are estimated. Multiplying this with the area factor will establish how much each tree represents in this area. The volume for the growing stock in a county for instance can be found by summarising the volume of each measured tree in the county multiplied with the area factor.
Not relevant
Employees of Statistics Norway have a duty of confidentiality.
Statistics Norway does not publish figures if there is a risk of the respondent’s contribution being identified. This means that, as a general rule, figures are not published if fewer than three units form the basis of a cell in a table or if the contribution of one or two respondents constitutes a very large part of the cell total.
Statistics Norway can make exceptions to the general rule if deemed necessary to meet the requirements of the EEA agreement, if the respondent is a public authority, if the respondent has consented to this, or when the information disclosed is openly accessible to the public.
More information can be found on Statistics Norway’s website under Methods in official statistics, in the ‘Confidentiality’ section.
Figures on property level are not published.
The National Forest Inventory carried out the first assessment at county level in 1919.
Systematic errors are caused by errors or uncertainties in measurement, estimation and recording in the field, which are one-sided. Efforts are being made to reduce these errors as far as possible by training the field crews and checking their measurements. An example of errors of this type is the possibility of apparent area changes for productive forest land, which are really caused by different methods of judging the coniferous forest limit. The magnitude of systematic errors cannot normally be calculated.
Random errors of the results are caused by the limited sample of the forest area and wood resources measured by the inventory, in addition to random errors of measurement. A measure for the random error is the so-called standard error, which is possible to calculate. The root mean square error (RMS error) depends on the number of sample plots and the variance of the parameter of interest, for instance volume of growing stock. If the observations are divided into more groups, the magnitude of the RMS error will be higher within each group.
Not relevant