Title of statistical activity: Statistical Register of Agricultural Holdings

Code of statistical activity: 21209

  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.

Data Processing and Registers Department

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

Margit Kurvits

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.

margit.kurvits@stat.ee

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

+372 625 9303

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.

08/05/2018

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

08/05/2018

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.

Utilised agricultural land of agricultural holdings, number of animals by species, standard output and type of farming

Fur farming (number of fur animals)

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)

Classification of Estonian Economic Activities (EMTAK)

Classification of legal forms

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

Agricultural holdings

Keepers of fur animals

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 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.

Number of animals – number of cattle, equidae, pigs, sheep, goats, poultry, beehives, fur animals.

Standard output – monetary value of gross agricultural production at farm-gate price corresponding to the average situation in an agricultural activity and which is calculated on the basis of crop area, number of livestock and standard output coefficients.

Type of farming – determined on the basis of the share of the standard output by product type in the total standard output of the holding.

Utilised agricultural area – area utilised in the reference year by agricultural holdings for agricultural production or maintained in good agricultural and environmental condition (incl. arable land, permanent grassland, fruit and berry plantations, nurseries and kitchen gardens).

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

Agricultural holding

Keeper of fur animals

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

Agricultural holdings

Keepers of fur animals

FRAME

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.

2002–…

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.

Agricultural holdings, animals, poultry, beehives, fur animals – number

Agricultural land, agricultural crops – ha

Standard output of the holding (economic size) – euro

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

Commission Regulation (EC) No 1200/2009 of 30 November 2009 implementing Regulation (EC) No 1166/2008 of the European Parliament and of the Council on farm structure surveys and the survey on agricultural production methods, as regards livestock unit coefficients and definitions of the characteristics

Regulation (EC) No 1166/2008 of the European Parliament and of the Council of 19 November 2008 on farm structure surveys and the survey on agricultural production methods and repealing Council Regulation (EEC) No 571/88

Regulation (EC) No 1165/2008 of the European Parliament and of the Council of 19 November 2008 concerning livestock and meat statistics and repealing Council Directives 93/23/EEC, 93/24/EEC and 93/25/EEC

COMMISSION IMPLEMENTING REGULATION (EU) 2015/220 of 3 February 2015 laying down rules for the application of Council Regulation (EC) No 1217/2009 setting up a network for the collection of accountancy data on the incomes and business operation of agricultural holdings in the European Union

COMMISSION DELEGATED REGULATION (EU) No 1198/2014 of 1 August 2014 supplementing Council Regulation (EC) No 1217/2009 setting up a network for the collection of accountancy data on the incomes and business operation of agricultural holdings in the European Union

Regulation (EC) No 543/2009 of the European Parliament and of the Council of 18 June 2009 concerning crop statistics and repealing Council Regulations (EEC) No 837/90 and (EEC) No 959/93

OTHER LEGAL ACTS

Not available

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/66485.

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.

Not published

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 the frames of agricultural statistical activities at Statistics Estonia and for the sample of Farm Accountancy Data Network (FADN).

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

Handbook on implementing the Farm Structure Survey definitions and Typology Handbook

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, 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.

Rural Economy Research Centre for sample of Farm Accountancy Data Network (FADN)

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 has conducted 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 Statistical Register of Agricultural Holdings is developed and maintained according to the order of Director General of Statistics Estonia.

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.

Used source data and thorough checking of the data ensure sufficient precision.

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 are on time

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.

Most European Union Member States keep a statistical register of agricultural holdings following similar principles. This ensures geographical comparability at the level required from surveys.

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

The data are not published. The frames are comparable since 2002.

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

Data are not published. Data of the register are closely related to other agricultural statistics.

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

The outputs of the statistical activity are coherent.

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

Cost of statistical activity 17.1 thousand euros (data for 2018)

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.

Not applicable

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 Agricultural Registers and Information Board (ARIB): the Agricultural Support and Land Parcel Register (incl. land use data) for updating the data on holdings and their land use twice a year; and the Register of Agricultural Animals for updating the data on holdings and their livestock four times a year.

The Agricultural Board provides the register of organic farming for updating the data on agricultural holdings with organic farming once a year.

The Business Register provides data regularly for updating the data of agricultural holdings (changes of business names, contact details, liquidation, etc.).

The Population Register of the IT and Development Centre of the Ministry of the Interior provides data regularly for updating the data on holders of agricultural holdings.

DATA FROM OTHER STATISTICAL ACTIVITIES

Data from statistical activities 20901 “Business Register for Statistical Purposes”, 21203 “Livestock farming and meat production”, 21208 “Farm Structure Survey”, 21210 “Agricultural Census” and 21214 “Crop farming” are used.

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

Continuously

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

Data from the Estonian Agricultural Registers and Information Board are received via an FTP server, data from the Agricultural Board by e-mail, data from the Estonian Tax and Customs Board via X-Road and an FTP server and data from the Population Register and the Business Register via X-Road.

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 the data of previous periods or other surveys and with administrative data sources. Before data dissemination, the internal coherence of the data is checked.

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

Over the course of a year, the Statistical Register of Agricultural Holdings is updated on the basis of the data contained in legal registers and collected during statistical activities.

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