Title of statistical activity: Forest resources
Code of statistical activity: 10304
- Metadata update
- Statistical presentation
- Unit of measure
- Reference period
- Institutional mandate
- Release policy
- Frequency of dissemination
- Accessibility and clarity
- Quality management
- Accuracy and reliability
- Timeliness and punctuality
- Coherence and comparability
- Cost and burden
- Data revision
- Statistical processing
1.1. Contact organisation The name of the organisation of the contact points for the data or metadata.
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.
1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination".
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.
1.7. Contact phone number The telephone number of the contact points for the data or metadata.
+372 625 9308
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.
2.2. Metadata last update Date of last update of the content of the metadata.
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.
Area of forest and other wooded land and percentage of territory covered by forest, area of stands, reserve of stands and reserve of stands per hectare, increment of stands’ volume by tree species, destroyed forest stands and reasons for destruction, biomass and carbon storage in wooden biomass
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 preserve of International Union for Conservation of Nature
Global Forest Resources Assessment 2005 (final version; terms and definitions). Food and Agriculture Organization of the United Nations
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.
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.
3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.
Forest resources in Estonia
3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.
Estonia as a whole
Counties – data of destroyed and damaged forest stands
3.8. Time coverage The length of time for which data are available.
3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.
Hectare, tonne, m³/ha
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
OTHER LEGAL ACTS
Official Statistics Act
Statistical Office of the European Union (Eurostat)
Organisation for Economic Co-operation and Development (OECD)
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.
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.
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.
10. Accessibility and clarity
10.1. News release Regular or ad-hoc press releases linked to the data.
10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.
10.3. Online database Information about on-line databases in which the disseminated data can be accessed.
Data are published under the subject area “Environment/Natural resources and their use” and “Environment/Environmental pressure” in the Statistical Database at http://pub.stat.ee.
10.4. Microdata access Information on whether micro-data are also disseminated.
10.5. Other References to the most important other data dissemination done.
Data serve as input for statistical activities 10001 “Environmental trends”, 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.
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
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.
12.1. User needs Description of users and their respective needs with respect to the statistical data.
Ministry of the Environment
Ministry of Rural Affairs
Ministry of Economic Affairs and Communications
Ministry of the Interior
Estonian University of Life Sciences
Stockholm Environment Institute
Local governments institutions
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.
The data of National Forest Inventory (NFI) and damaged stands are complete.
13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure.
13.1. Overall accuracy Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components.
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.
13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.
14. Timeliness and punctuality
14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.
The data are published 142 days after the end of the reference year (T + 142).
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.
Starting with 1999, the comparability of data in the time series is good.
15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.
Forest resources statistics are in compliance with the statistical activities 21001 “Forestry” and 10601 “Material flow accounts”.
15.4. Coherence - internal The extent to which statistics are consistent within a given data set.
The outputs of the statistical activity are coherent.
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.
There are no planned revisions. The data may be revised if the methodology is modified, errors are discovered, new or better data become available.
18. Statistical processing
18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.
The following data are received from the Estonian Environment Agency: area of forest and other wooded land and area of stands; average reserve of stands per hectare and increment of stands' volume per year by dominant tree species; biomass on forest land (above ground and below ground) and carbon storage in wooden biomass on forest land by dominant tree species; area of destroyed and damaged forest stands.
DATA FROM OTHER STATISTICAL ACTIVITIES
18.2. Frequency of data collection Frequency with which the source data are collected.
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.