Title of statistical activity: Agricultural products (until 2015)

Code of statistical activity: 21211

  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.

Enterprise and Agricultural Statistics Department

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

Ivar Himma

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.

ivar.himma@stat.ee

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

+372 625 9164

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.

09/01/2015

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

09/01/2015

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.

Production, stocks and use of cereals, cereal products, rape seeds, potatoes, vegetables, fruits and hayseeds

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

Not used.

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

Agricultural holdings

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

Dry weight – weight of products suitable for storage.

Use as animal feedingstuffs – grain products used for fodder (incl. after processing).

Use as seeds – amount of seeds used for sowing.

Other resources – agricultural products bought or got through exchange.

Sales – agricultural products sold or given through exchange.

Production – total production (incl. processed cereal products and mixed fodder with supplements).

Processing – processing own or bought agricultural products in the holding or outside as a service for human consumption or animal feedingstuffs.

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

Agricultural holding

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

Agricultural holdings who have utilised agricultural area

FRAME

List of agricultural holdings generated from the statistical register of agricultural holdings, who have utilised agricultural area

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.

1995–…

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.

Volumes – ton

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

Six months

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 ACT

Regulation (EC) No 138/2004 of the European Parliament and of the Council of 5 December 2003 on the economic accounts for agriculture in the Community

Commission Regulation (EC) No 306/2005 of 24 February 2005 amending Annex I to Regulation (EC) No 138/2004 of the European Parliament and of the Council on the economic accounts for agriculture in the Community

Commission Regulation (EC) No 212/2008 of 7 March 2008 amending Annex I to Regulation (EC) No 138/2004 of the European Parliament and of the Council on the economic accounts for agriculture in the Community

Commission Regulation (EC) No 909/2006 of 20 June 2006 amending Annexes I and II to Regulation (EC) No 138/2004 of the European Parliament and of the Council on the economic accounts for agriculture in the Community

OTHER AGREEMENTS

Not available.

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.

The treatment of confidential data is regulated by the Procedure for Protection of Data Collected and Processed by Statistics Estonia: https://www.stat.ee/dokumendid/19410.

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

8.1. Release calendar The schedule of statistical release dates.

Not applicable.

8.2. Release calendar access Access to the release calendar information.

Not applicable.

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.

Not applicable.

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

Not applicable.

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 the heading „Economy/ Agriculture” 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.

Data serve as input for statistical activities 10501 „Agri-environmental commitments”, 21207„Economic accounts for agriculture” and 21213 „Supply balance sheets of agricultural products”.

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

Regulation (EC) No 138/2004 of the European Parliament and of the Council of 5 December 2003 on the economic accounts for agriculture in the Community

Commission Regulation (EC) No 306/2005 of 24 February 2005 amending Annex I to Regulation (EC) No 138/2004 of the European Parliament and of the Council on the economic accounts for agriculture in the Community

Commission Regulation (EC) No 909/2006 of 20 June 2006 amending Annexes I and II to Regulation (EC) No 138/2004 of the European Parliament and of the Council on the economic accounts for agriculture in the Community

Commission Regulation (EC) No 212/2008 of 7 March 2008 amending Annex I to Regulation (EC) No 138/2004 of the European Parliament and of the Council on the economic accounts for agriculture in the Community

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

The description of the methodology is published in conjunction with the data in the Statistical Database.

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.

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.

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.

The sampling error is not estimated.

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 are released 15 days upon the end of the reference period (T+15).

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.

The data are comparable with the data of other European Union Member States.

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.

Data serve as input for statistical activities 21207„Economic Accounts for Agriculture”, 21213 „Supply balance sheets of agricultural products”.

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.

Total time of filling in reports of statistical actions, working days: 100,6

Average time of filling in the reports, hours per report:

Põllumajandussaadused 2012. aasta: 1,1

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.

Not applicable.

18. Statistical processing

18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.

SURVEY DATA

Total population involves 19,700 objects. The sample size and design for 2015 is under decision.

ADMINISTRATIVE DATA

Not used.

DATA FROM OTHER STATISTICAL ACTIVITIES

Data from statistical activities 21214 „Crop farming” and 21215 „Cereals” are used.

18.2. Frequency of data collection Frequency with which the source data are collected.

Year

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

Data are collected through eSTAT (the web channel for electronic data submission). eSTAT is also used to monitor the completion of questionnaires. The questionnaires have been designed for completion in eSTAT by the respondents themselves and they include instructions and controls. The questionnaires and information about data submission are available on Statistics Estonia’s website at https://www.stat.ee/andmete-esitamine (in Estonian). Data are collected with the annual statistical questionnaire „Põllumajandussaadused”.

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

Arithmetic and qualitative controls are used in the validation process, including comparison with other data.

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

Weights are calculated for the statistical units which are used to expand the data of the sample survey to the population. For estimating population totals, the sample data on agricultural holdings are grossed up separately in each stratum. The expansion factor is the ratio of each subpopulation to the number of respondents in that stratum.

In case of missing or unreliable data, the estimates are imputed according to the relevant guidelines. The data of non-responding holdings are replaced with the respective average for similar holdings who responded. The variables which were not collected directly but are required for output generation are calculated. In order to calculate new variables, mathematical expressions are applied to existing variables. The process may be repeated, i.e. a derived variable may be based on other derived new variables. Microdata are aggregated before analysis. This covers data summarisation according to the classification and the calculation of various statistical indicators (e.g. mean). The indicators to be published are calculated on the basis of the collected data.

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.