Title of statistical activity: Forestry

Code of statistical activity: 21001

  1. Contact
  2. Metadata update
  3. Statistical presentation
  4. Unit of measure
  5. Reference period
  6. Institutional mandate
  7. Confidentiality
  8. Release policy
  9. Frequency of dissemination
  10. Accessibility and clarity
  11. Quality management
  12. Relevance
  13. Accuracy and reliability
  14. Timeliness and punctuality
  15. Coherence and comparability
  16. Cost and burden
  17. Data revision
  18. Statistical processing
  19. Comments

1. Contact Individual or organisational contact points for the data or metadata, including information on how to reach the contact points.

1.1. Contact organisation The name of the organisation of the contact points for the data or metadata.

Statistics Estonia

1.2. Contact organisation unit An addressable subdivision of an organisation.

Economic and Environmental Statistics Department

1.3. Contact name The name of the contact points for the data or metadata.

Evelin Enno

1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination".

Leading Statistician

1.5. Contact mail address The postal address of the contact points for the data or metadata.

51 Tatari Str, 10134 Tallinn, Estonia

1.6. Contact email address E-mail address of the contact points for the data or metadata.

evelin.enno@stat.ee

1.7. Contact phone number The telephone number of the contact points for the data or metadata.

+372 625 9308

2. Metadata update The date on which the metadata element was inserted or modified in the database.

2.1. Metadata last certified Date of the latest certification provided by the domain manager to confirm that the metadata posted are still up-to-date, even if the content has not been amended.

15/06/2017

2.2. Metadata last update Date of last update of the content of the metadata.

15/06/2017

3. Statistical presentation

3.1. Data description Main characteristics of the data set described in an easily understandable manner, referring to the data and indicators disseminated.

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 Arrangement or division of objects into groups based on characteristics which the objects have in common.

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 Main economic or other sectors covered by the statistics.

Estonia – total

3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.

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 Entity for which information is sought and for which statistics are ultimately compiled.

Forest land

3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.

Forest resources in Estonia

FRAME

Not applicable

3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.

Estonia as a whole

Counties

3.8. Time coverage The length of time for which data are available.

1999–…

3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.

Not applicable.

4. Unit of measure The unit in which the data values are measured.

m³, ha, m³/ha

5. Reference period The period of time or point in time to which the measured observation is intended to refer.

Year

6. Institutional mandate

6.1. Legal acts and other agreements Legal acts or other formal or informal agreements that assign responsibility as well as the authority to an agency for the collection, processing, and dissemination of statistics.

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 A property of data indicating the extent to which their unauthorised disclosure could be prejudicial or harmful to the interest of the source or other relevant parties.

7.1. Confidentiality - policy Legislative measures or other formal procedures which prevent unauthorised disclosure of data that identify a person or economic entity either directly or indirectly.

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

7.2. Confidentiality - data treatment Rules applied for treating the data set to ensure statistical confidentiality and prevent unauthorised disclosure.

Not applicable

8. Release policy Rules for disseminating statistical data to interested parties.

8.1. Release calendar The schedule of statistical release dates.

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 Access to the release calendar information.

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

8.3. User access The policy for release of the data to users, the scope of dissemination (e.g. to the public, to selected users), how users are informed that the data are being released, and whether the policy determines the dissemination of statistical data to all users.

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 The time interval at which the statistics are disseminated over a given time period.

Annually

10. Accessibility and clarity

10.1. News release Regular or ad-hoc press releases linked to the data.

Not published

10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.

Not published

10.3. Online database Information about on-line databases in which the disseminated data can be accessed.

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

10.4. Microdata access Information on whether micro-data are also disseminated.

Not applicable

10.5. Other References to the most important other data dissemination done.

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

10.6. Documentation on methodology Descriptive text and references to methodological documents available.

Not available

10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.

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

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

11. Quality management Systems and frameworks in place within an organisation to manage the quality of statistical products and processes.

11.1. Quality assurance All systematic activities implemented that can be demonstrated to provide confidence that the processes will fulfil the requirements for the statistical output.

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 Overall assessment of data quality, based on standard quality criteria.

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 The degree to which statistical information meet current and potential needs of the users.

12.1. User needs Description of users and their respective needs with respect to the statistical data.

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 https://www.stat.ee/statistikatood.

12.2. User satisfaction Measures to determine user satisfaction.

Since 1996 Statistics Estonia conducts reputation and user satisfaction surveys.

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

12.3. Completeness The extent to which all statistics that are needed are available.

In compliance with the rules (regulations)

13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure.
Reliability: closeness of the initial estimated value to the subsequent estimated value.

13.1. Overall accuracy Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components.

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

13.2. Sampling error That part of the difference between a population value and an estimate thereof, derived from a random sample, which is due to the fact that only a subset of the population is enumerated.

Not applicable

13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.

Not measured

14. Timeliness and punctuality

14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.

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 Time lag between the actual delivery of the data and the target date when it should have been delivered.

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

15. Coherence and comparability

15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.

The data are geographically comparable.

15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.

The data are comparable over time.

15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.

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

15.4. Coherence - internal The extent to which statistics are consistent within a given data set.

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 Cost associated with the collection and production of a statistical product and burden on respondents.

17. Data revision Any change in a value of a statistic released to the public.

17.1. Data revision - policy Policy aimed at ensuring the transparency of disseminated data, whereby preliminary data are compiled that are later revised.

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

17.2. Data revision - practice Information on the 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 Characteristics and components of the raw statistical data used for compiling statistical aggregates.

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 Frequency with which the source data are collected.

Annually

18.3. Data collection Systematic process of gathering data for official statistics.

The data are obtained by e-mail.

18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.

Data validation is the responsibility of the Estonian Environment Agency.

18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.

The data received from the Estonian Environment Agency are converted into statistical output. It includes calculating additional indicators.

18.6. Adjustment The set of procedures employed to modify statistical data to enable it to conform to national or international standards or to address data quality differences when compiling specific data sets.

Not applicable

19. Comments Supplementary descriptive text which can be attached to data or metadata.

Not available