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Breadcrumb

  1. Home
  2. Methodology and quality
  3. ESMS metadata
  4. Forestry

Forestry

1. Contact
1.1. Contact organisation

Statistics Estonia

1.2. Contact organisation unit

Economic and Environmental Statistics Department

1.3. Contact name

Swen Peterson

1.4. Contact person function

Analyst

1.5. Contact mail address

51 Tatari Str, 10134 Tallinn, Estonia

1.6. Contact email address

swen.peterson [at] stat.ee

1.7. Contact phone number

37258864227

2. Metadata update
2.1. Metadata last certified

27/03/2025

2.2. Metadata last update

27/03/2025

3. Statistical presentation
3.1. Data description

Gross felling based on National Forest Inventory (NFI)

Gross felling based on felling documentation by county and type of forest land

Areas of new plantations by county

Reforestation by county

3.2. Classification system

Classification of Estonian administrative units and settlements (EHAK)

Categories of forest protection of the International Union for Conservation of Nature

Temperate and Boreal Forest Resource Assessment 2000 (forest categories and definitions). United Nations Economic Commission for Europe / Food and Agriculture Organization

3.3. Sector coverage

Estonia – total

3.4. Statistical concepts and definitions

Average increment of the stock of stands per year – difference between the original and residual value of stands in a period, which shows the increment of the stock of stands in a year (based on increment calculation method of the forest survey guidelines).

Average stock of stands per hectare – volume of timber expressed in cubic metres per hectare.

Cleaning – a type of maintenance felling in forests where the average diameter at breast height is below 6 cm (i.e. young growth) in order to improve light and nutrition conditions of the dominant tree species and design the forest composition.

Commercial woodland (stands) – forest land that is not included in the category of strictly protected forests. It includes forests with partial commercial restrictions (for example water protection forests, protection zone of capercaillie, Natura 2000 areas).

Dominant tree species – the tree species with the greatest stem volume in the stand.

Forest land – habitat of woody vegetation with an area of at least 0.1 hectares where the height of woody plants is at least 1.3 metres and the canopy closure is at least 30%. It includes areas temporally forestless such as clear cut, windfall or burnt areas.

Maintenance felling – a silviculture technique to improve forest quality and/or forest sanitary conditions.

Regeneration felling – a type of felling in order to create conditions necessary for a new forest generation. As a general rule, regeneration felling is used in mature stands.

Stock of stands – volume of timber expressed in cubic metres from stump to tree top including bark and excluding the volume of branches.

Territory covered by forest (%) – the share of stands in the area of the territory.

Thinning – type of maintenance felling to alter the composition of the stand and to improve the growth and development conditions of the trees remaining after felling as well as the value of the stand and stem characteristics.

3.5. Statistical unit

Forest land

3.6. Statistical population

Forest resources in Estonia

FRAME

Not applicable

3.7. Reference area

Estonia as a whole

Counties

3.8. Time coverage

1999–…

3.9. Base period

Not applicable.

4. Unit of measure

m³, ha, m³/ha

5. Reference period

Year

6. Institutional mandate
6.1. Legal acts and other agreements

DIRECTLY APPLICABLE LEGAL ACTS

Not available

OTHER LEGAL ACTS

Eurostat/OECD Joint Questionnaire „State of Environment“ part Forest

OTHER AGREEMENTS

Statistical Office of the European Communities (Eurostat)

Organisation for Economic Co-operation and Development (OECD)

7. Confidentiality
7.1. Confidentiality - policy

The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 32, § 34, § 35, § 38 of the Official Statistics Act.

7.2. Confidentiality - data treatment

Not applicable

8. Release policy
8.1. Release calendar

Notifications about dissemination of statistics are published in the release calendar, which is available on the website. Every year on 1 October, the release times of the Statistical Database, news releases, main indicators by IMF SDDS and publications are announced in the release calendar (in case of publications – the release month).

8.2. Release calendar access

http://www.stat.ee/release-calendar

8.3. User access

All users have been granted equal access to official statistics: dissemination dates of official statistics are announced in advance and no user category (incl. Eurostat, state authorities and mass media) is provided access to official statistics before other users. Official statistics are first published in the Statistical Database. If there is also a news release, it is published simultaneously with data in the Statistical Database. Official statistics are available on the website at 8:00 a.m. on the date announced in the release calendar.

9. Frequency of dissemination

Annually

10. Accessibility and clarity
10.1. News release

Not published

10.2. Publications

Not published

10.3. Online database

Data are published under subject area “Economy / Forestry” in the Statistical Database at http://pub.stat.ee.

10.4. Microdata access

Not applicable

10.5. Other

Data serve as input for statistical activities 10601“Material flow accounts”, 50101 “Regional development” and 50201 “Sustainable development indicators”.

10.6. Documentation on methodology

Not available

10.7. Quality documentation

“Eesti Metsad. Metsavarude hinnang statistilisel valikmeetodil” (in Estonian), Estonian Environment Agency

http://www.keskkonnaagentuur.ee/et/metsandusevaljaanded

11. Quality management
11.1. Quality assurance

To assure the quality of processes and products, Statistics Estonia applies the EFQM Excellence Model, the European Statistics Code of Practice and the Quality Assurance Framework of the European Statistical System (ESS QAF). Statistics Estonia is also guided by the requirements in § 7. “Principles and quality criteria of producing official statistics” of the Official Statistics Act.

11.2. Quality assessment

Statistics Estonia performs all statistical activities according to an international model (Generic Statistical Business Process Model – GSBPM). According to the GSBPM, the final phase of statistical activities is overall evaluation using information gathered in each phase or sub-process; this information can take many forms, including feedback from users, process metadata, system metrics and suggestions from employees. This information is used to prepare the evaluation report which outlines all the quality problems related to the specific statistical activity and serves as input for improvement actions.

12. Relevance
12.1. User needs

Ministry of the Environment

Ministry of Rural Affairs

Users’ suggestions and information about taking these into account are available on the website of Statistics Estonia at http://www.stat.ee/statistikatood.

12.2. User satisfaction

Since 1996 Statistics Estonia conducts reputation and user satisfaction surveys.

All results are available on the website at http://www.stat.ee/user-surveys.

12.3. Completeness

In compliance with the rules (regulations)

13. Accuracy and reliability
13.1. Overall accuracy

The type of survey and the data collection methods ensure sufficient coverage and timeliness.

13.2. Sampling error

Not applicable

13.3. Non-sampling error

Not measured

14. Timeliness and punctuality
14.1. Timeliness

The data on gross felling based on felling documentation, new plantations and reforestation are published 210 days after the end of the reference year (T + 210), the data on gross felling based on national forest inventory are published 365 days after the end of the reference year (T + 365) and the data on forest seeds are published 720 days after the end of the reference year (T + 720).

14.2. Punctuality

The data have been published at the time announced in the release calendar.

15. Coherence and comparability
15.1. Comparability - geographical

The data are geographically comparable.

15.2. Comparability - over time

The data are comparable over time.

15.3. Coherence - cross domain

As there is no connection with other sectors, cross-sectoral coherence is difficult to assess.

15.4. Coherence - internal

The outputs of the statistical activity are coherent. Higher-level aggregations are derived from detailed data according to pre-defined procedures.

16. Cost and burden

–

17. Data revision
17.1. Data revision - policy

The data revision policy and notification of corrections are described in the dissemination policy of Statistics Estonia at http://www.stat.ee/dissemination-policy.

17.2. Data revision - practice

The revisions are made by the authorities in charge of the National Forest Inventory (NFI). If necessary, the data are updated in the Statistical Database once a year.

18. Statistical processing
18.1. Source data

SURVEY DATA

Not used

ADMINISTRATIVE DATA

The following data are received from the Estonian Environment Agency: total felling area, total felling volume and felling volume per hectare by type of felling based on the statistical sampling method of forest inventory; planned felling area and felling volume by type of felling, legal form of land holder and county; reforestation by county, land category and method of reforestation; planting material used in forest planting by county and species of tree; number of young forest trees planted in nurseries and area of nurseries by species of tree and county.

DATA FROM OTHER STATISTICAL ACTIVITIES

Not used

18.2. Frequency of data collection

Annually

18.3. Data collection

The data are obtained by e-mail.

18.4. Data validation

Data validation is the responsibility of the Estonian Environment Agency.

18.5. Data compilation

The National Forest Inventory (NFI) or Statistical Forest Inventory is a sample survey that can be used to objectively monitor the dynamics of the forest process in the country as a whole. The method is used in most European countries. In Estonia, the NFI is organised by the Forest Department of the Estonian Environment Agency. Systematic sampling is used where objects, i.e. sample plots, are selected from a list at a regular interval, whereas the first object is randomly selected. The sample is self-weighted; all objects in the population have the same probability of inclusion in the sample.

The NFI is methodologically designed as a continuous sample survey, which ensures continuous updating of information. Thus, most annual estimates of forest characteristics are based on data collected over the past five years. Taking into account possible changes over time, the estimates compiled in prior years are given a smaller weight than the data of the previous year. Since the felling season in nature does not correspond to a calendar year, the period from 1 May to 30 April is used for the inventory, and when assessing felling, the estimates of the current year are combined with the estimates of the previous year.

For regional data and other more detailed breakdowns, a five-year average is used to obtain a more accurate result due to inconsistencies in the raw data.

For all indicators, error due to probability sampling is taken into account. In all estimates of the stock of stands, a random error due to area estimates is taken into account. Error estimates are given at confidence level of 0.95, in other words, in 5% of cases, the given estimates can go beyond the error limits.

18.6. Adjustment

Not applicable

19. Comments

Not available

Contacts

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stat [at] stat.ee

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