Title of statistical activity: Agri-environmental commitments (until 2015)

Code of statistical activity: 10501

  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

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.

Kätlin Laats

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

Senior 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.


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

+372 625 9167

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.


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.

Used quantities of fertilizers, treated area and consumption by crop.

Indicators of environmentally friendly farming in agricultural holdings: changes in utilised agricultural land, water use in agriculture, area under organic farming, production of biofuels and energy crops, bird index of agricultural land.

Nitrogen and phosphorus balances according to basic data of agricultural statistics.

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

Classifications used in agricultural statistics and in the related environmental domains

3.3. Sector coverage Main economic or other sectors covered by the statistics.

Agriculture EMTAK 01

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

Agricultural holding – a single unit both technically and economically, which has single management and which produces agricultural products or maintains its land which is no longer used for production purposes in good agricultural and environmental condition, where:

- there is at least one hectare of utilised agricultural land or

- there is less than one hectare of utilised agricultural land but agricultural products are produced mainly for sale.

Units where agricultural products are not produced but only land is maintained in good agricultural and environmental condition are included from 2007.

Until 2007 the definition of agricultural holding included also the reference to standard gross margin (at least 1 ESU, if the area of agricultural land was less than 1 hectare). From 2010 this reference has been replaced by provision that agricultural products are produced mainly for sale. The change does not have an effect to the comparability of the data.

Agricultural products – cereals, legumes, potatoes, fodder roots, linseed, flax fibre, plants used for seasoning and herbs, vegetables, vegetable plants, flowers, ornamental plants, green fodder, fruits, berries, young plants of trees and bushes, (excl. young plants of forest trees grown on wooded land for own consumption), livestock and poultry, meat, milk, eggs, wool, honey and wax.

Arable land – land worked regularly, generally under a system of crop rotation.

Arable land consists of:

- area under cereals (wheat, rye, barley, oats (including mixture of cereals), other cereals (including buckwheat and triticale) for the production of grain;

- area under legumes (peas, field beans, other legumes, including mixture of cereals and legumes) for the production of grain;

- area under potatoes;

- area under fodder roots (excluding seeds for sale);

- area under industrial crops (rape and turnip rape, linseed, flax and aromatic and medicinal plants and herbs and other industrial crops);

- area under fresh vegetables and strawberries, outdoor or under low (non-accessible) cover;

- area under flowers and ornamental plants, outdoor or under low (non-accessible) cover;

- area under fresh vegetables under glass or high (accessible) cover (crops which for the whole of the period of growth or for the predominant part of it are covered by greenhouses or fixed or mobile high cover (glass or rigid or flexible plastic));

- area under flowers and ornamental plants under glass or high (accessible) cover (crops which for the whole of the period of growth or for the predominant part of it are covered by greenhouses or fixed or mobile high cover (glass or rigid or flexible plastic));

- area under fodder plants (all green arable crops intended for animal feed, grown in rotation with other arable crops and occupying the same land for less than five years) – temporary grass including leguminous plants, maize and other forage plants (including cereals and legumes harvested green);

- area under seeds and seedlings for sale (excluding cereals, legumes, potatoes and oil seeds);

- fallow land (land left to recover, normally for the whole of a crop year) – bare land and green fallow.

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

Statistics are published on various agri-environmental issues, such as environmentally friendly farming, changes in agricultural land use, water use in agriculture, area under organic farming, production of biofuel and energy crops.

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

Not applicable.


Not applicable.

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

Estonia as a whole

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.

Not applicable.

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

Various units of measure

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


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.


Not available.

Communication from the Commission to the Council and the European Parliament – Development of agri-environmental indicators for monitoring the integration of environmental concerns into the common agricultural policy {SEC(2006) 1136} /* COM/2006/0508 final */


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 the dissemination of statistics are published in the release calendar, which is available on the website. On 1 October each year, 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 an equal access to official statistics: this means that the dissemination dates of official statistics have to be announced in advance and no user category (incl. Eurostat, state authorities and mass media) can have access to the official statistics (results of official statistical surveys) before other users. Statistical information is first published in the Statistical Database. In case a news release is published based on the same data, the information provided in the relevant news release is simultaneously published in the Statistical Database. Official statistics are available on the website at 8.00 a.m. on the date announced in the release calender.

9. Frequency of dissemination The time interval at which the statistics are disseminated over a given time period.


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.

„Eesti statistika aastaraamat. Statistical Yearbook of Estonia”

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

Data are published in the Statistical Database in 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.

Not published.

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

Agri-environmental indicators: recommendations for priority data collection and data combination


Characterisation of data collection-processing-reporting for agri-environmental policies in Member States of the European Union


Data requirements, availability and gaps in agri-environment indicators (AEIs) in Europe


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

Not available.

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, EU Statistics Code of Practice and the ESS Quality Assurance Framework (QAF). Statistics Estonia is also guided by the requirements provided for 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 includes, among other things, 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 Agriculture

Users’ suggestions and information about taking them into account are available on the SE website https://www.stat.ee/statistikatood.

12.2. User satisfaction Measures to determine user satisfaction.

Since 1996 Statistics Estonia conducts reputation surveys and user surveys.

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

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

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.

Not measured.

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.

The quality of nitrogen and phosphorus balances is influenced by the specific models used for calculations and by the coefficients developed by research institutions.

The quality of administrative data may be influenced by several other factors that should be identified.

14. Timeliness and punctuality

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

The release date will be determined in 2014.

(2011) T+566

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

Not applicable.

15. Coherence and comparability

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

Geographical comparability is still unknown, but Communication COM(2006) 508 from the Commission to the Council and the European Parliament, „Development of agri-environmental indicators for monitoring the integration of environmental concerns into the common agricultural policy”, provides a basis for territorial comparability on the EU level.

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

The data are comparable across time.

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

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

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 https://www.stat.ee/dissemination-policy.

17.2. Data revision - practice Information on the data revision practice.

The published data may be revised if the methodology is modified, if errors are discovered, if 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.


Not used.


Data on agri-environment payments and land use are received from the Estonian Agricultural Registers and Information Board (PRIA). Organic farming data are received from the Agricultural Board. Data on the population trends of farmland birds are received from the Estonian Ornithological Society. Data on agricultural water use and emissions are received from the Estonian Environment Agency. Further administrative sources may be added due the development of the data collection methodology.


Data from statistical activities 21201 „Sown area of field crops”, 21203 „Annual statistics of livestock farming”, 21207 „Economic accounts for agriculture”, 21210 „Agricultural Census”, 21211 „Agricultural products”, 21214 „Crop farming”, 21216 „Survey of agricultural household plots” (2013) and 21218 „Compilation of sample design and renewal of the sample of farm accountancy data network” are used.

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.

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

The validation process consists of arithmetic and quality checks, incl. comparison with other data. Before data dissemination, several checks on the internal coherence of the data are carried out.

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

The indicators to be published are calculated on the basis of the collected data, following the guidelines and manuals of Eurostat.

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 applied.

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

Not available.