Crop balance sheets (apro

Crop balance sheets (apro_cbs)

National Reference Metadata in ESS Standard for Crops Balance Sheet Quality Reports Structure (esqrsbs)

Compiling agency: Statistics Estonia

Eurostat metadata

Reference metadata

1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)

For any question on data and metadata, please contact: Eurostat user support

Download

1. Contact

Top

1.1. Contact organisation

Statistics Estonia

1.2. Contact organisation unit

Economic and Environmental Statistics Department

1.5. Contact mail address

Tatari 51, 10134 Tallinn, Estonia

2. Statistical presentation

Top

2.1. Data description

Main characteristics

2.1.1. Describe shortly the main characteristics of the statistics

Crop Balances for cereals cover supply and use of the main cereals (common wheat & spelt, durum wheat, barley and grain maize & corn-cob-mix) and main oilseeds.

Reference period

2.1.2. Reference period of the data collection	2020
2.1.3. Is the reference period based on the calendar year starting January 1st and ending December 31st?	Yes
2.1.4. If No, please specify

National legislation

2.1.5. Is there a national legislation covering these statistics?	No
If Yes, please answer all the following questions.
2.1.6. Name of the national legislation
2.1.7. Link to the national legislation
2.1.8. Responsible organisation for the national legislation
2.1.9. Year of entry into force of the national legislation
2.1.10. Please indicate which variables required under EU legislation are not covered by national legislation, if any?
2.1.11. Please indicate which national definitions differ from those in the EU legislation, if any?
2.1.12. Is there a legal obligation for respondents to reply?	Yes

Additional comments on data description

2.2. Classification system

The classification system is described in the handbook.

2.3. Coverage - sector

Main cereals and oilseeds

2.4. Statistical concepts and definitions

Statistical concepts and definitions are described in the handbook.

2.5. Statistical unit

[CBS] The whole chain from farms to users (including traders, people in charge of stocks, etc.)

2.6. Statistical population

Not applicable

2.7. Reference area

2.7.1 Geographical area covered	The entire territory of the country.
2.7.2 Which special Member State territories are included?

2.8. Coverage - Time

2017-

2.9. Base period

Not applicable

3. Statistical processing

Top

3.1. Source data

Data source details

	Crop statistics	Trade statistics	Stock estimates	Domestic use estimates
Census	x	x
Sample Survey	x
Administrive data source	x	x
Agro-economic model			x
Expert Estimates
Other sources				x

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 3.1 of the annexed Excel file
3.1.2 Name/Title	Intrastat
3.1.3 Name of Organisation responsible	Statistics Estonia
3.1.4 Main scope	Enterprises which have trade transactions with EU countries.
3.1.5 List used to build the frame	List of VAT-registered enterprises who have dispatched goods to or received goods from EU countries, excluding enterprises whose turnover is below the statistical threshold. The list is based on the value added tax return data of the Estonian Tax and Customs Board.
3.1.6 Any possible threshold values	The thresholds below which parties are exempted from providing any Intrastat information shall be set at a level that ensures that the value of at least 97% of the total dispatches and at least 93% of the total arrivals of the relevant Member State's taxable persons are covered.
3.1.7 Population size	The total population is 33,000 objects and 6,000 objects are above threshold.
3.1.8 Additional comments

Sample Survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 3.1 of the annexed Excel file
3.1.9 Name/Title	Crop Production Survey
3.1.10 Name of Organisation responsible	Statistics Estonia
3.1.11 Main scope	Crop Production
3.1.12 List used to build the frame	Statistical Register of Agricultural Holdings (Farm Register)
3.1.13 Any possible threshold values	All agricultural holdings are covered. Agricultural holding is 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.
3.1.14 Population size	11,102
3.1.15 Sample size	1,555
3.1.16 Sampling basis	List
3.1.17 If Other, please specify
3.1.18 Type of sample design	Random Stratified
3.1.19 If Other, please specify
3.1.20 If Stratified, number of strata	5
3.1.21 If Stratified, stratification criteria	Unit size
3.1.22 If Other, please specify
3.1.23 Additional comments

Administrative source

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 3.1
3.1.24 Name/Title	Land use data from IACS (Register of Agricultural Support and Agricultural Parcels)
3.1.25 Name of Organisation responsible	Agricultural Registers and Information Board
3.1.26 Contact information (email and phone)	email: kadri.koel@pria.ee, phone: +372 737 1211
3.1.27 Main administrative scope	Land use of all units applying for subsidies
3.1.28 Geospatial Coverage	Regional
3.1.29 Update frequency	Continuous
3.1.30 Legal basis	The main legal act for this domain is the European Union Common Agricultural Policy Implementation Act (adopted on 11 November 2009).
3.1.31 Are you able to access directly to the micro data?	Yes
3.1.32 Are you able to check the plausibility of the data, namely by contacting directly the units?	Yes
3.1.33 How would you assess the proximity of the definitions and concepts (including statistical units) used in the administrative source with those required in the EU regulation?	Good
3.1.34 Please list the main differences between the administrative source and the statistical definitions and concepts	Register contains data on legal units
3.1.35 Is a different threshold used in the administrative source and statistical data?	Yes
3.1.36 If Yes, please specify	Statistics cover all agricultural holdings.
3.1.37 Additional comments

Agro-economic model

If there are different models used, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file
3.1.38 Name/Title	Stock estimates
3.1.39 Primary purpose	Estimate stocks
3.1.40 Legal basis	Legal basis for official statistics is Official Statistics Act.
3.1.41 Update frequency	Annual
3.1.42 Expert data supplier	Statistical office
3.1.43 If Other, please specify
3.1.44 How would you assess the quality of those data?	Good
3.1.45 Additional comments

Experts

If there is more than one Expert source, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file
3.1.46 Name/Title
3.1.47 Primary purpose
3.1.48 Legal basis
3.1.49 Update frequency
3.1.50 Expert data supplier
3.1.51 If Other, please specify
3.1.52 How would you assess the quality of those data?
3.1.53 Additional comments

Other sources

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file
3.1.54 Name/Title	Domestic use estimates
3.1.55 Name of Organisation	Statistics Estonia
3.1.56 Primary purpose	Estimate domestic use
3.1.57 Data type	Other
3.1.58 If Other, please specify	Mostly domestic use is calculated as a balance. In the case of barley, data from Household Budget Survey have been used.
3.1.59 How would you assess the quality of those data?	Good
3.1.60 Additional comments

3.2. Frequency of data collection

Every year

3.3. Data collection

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 3.3 of the annexed Excel file
3.3.1 Name/Title	Intrastat
3.3.2 Methods of data collection	Electronic questionnaire
3.3.3 If Other, please specify
3.3.4 If face-to-face or telephone interview, which method is used?
3.3.5 Data entry method, if paper questionnaires?
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)	Questionnaires can be found at https://www.stat.ee/sites/default/files/kysimustikud/2020/22303120320_Questionnaire_as_a_PDF_file_en.pdf (dispatches) and https://www.stat.ee/sites/default/files/kysimustikud/2020/22303120420_Questionnaire_as_a_PDF_file_en.pdf (arrivals)
3.3.7 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 3.3 of the annexed Excel file
3.3.8 Name/Title	Crop Production Statistics
3.3.9 Methods of data collection	Electronic questionnaire
3.3.10 If Other, please specify
3.3.11 If face-to-face or telephone interview, which method is used?
3.3.12 Data entry method, if paper questionnaires?
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)	Questionnaire can be found at https://www.stat.ee/sites/default/files/kysimustikud/2020/21214130620_Questionnaire_as_a_PDF_file_en.pdf
3.3.14 Additional comments

Administrative source

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 3.3 of the annexed Excel file
3.3.15 Name/Title	Land use data from IACS (Register of Agricultural Support and Agricultural Parcels)
3.3.16 Extraction date	1st of October 2020
3.3.17 How easy is it to get access to the data?	Access granted upon a simple request
3.3.18 Data transfer method	FTP-server
3.3.19 Additional comments

Experts

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.3 of the annexed Excel file
3.3.20 Name/Title
3.3.21 Methods of data collection
3.3.22 Additional comments

3.4. Data validation

3.4.1 Which kind of data validation measures are in place?	Manual
3.4.2 What do they target?	Completeness Aggregates Consistency Data flagging
3.4.3 If Other, please specify

3.5. Data compilation

3.5.1 Describe the data compilation process	Based on the data of production, external trade and change in stocks, consumption and its purpose are determined.
3.5.2 Additional comments

3.6. Adjustment

Not applicable

4. Quality management

Top

4.1. Quality assurance

4.1.1 Is there a quality management system used in the organisation?	Yes
4.1.2 If yes, how is it implemented?	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. 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 an evaluation report, which outlines all the quality problems related to the specific statistical activity and serves as input for improvement actions.
4.1.3 Has a peer review been carried out?	No
4.1.4 If Yes, which were the main conclusions?
4.1.5 What quality improvements are foreseen?	Further automation
4.1.6 If Other, please specify
4.1.7 Additional comments

4.2. Quality management - assessment

Development since the last quality report

4.2.1 Overall quality	Stable
4.2.2 Relevance	Stable
4.2.3 Accuracy and reliability	Stable
4.2.4 Timeliness and punctuality	Stable
4.2.5 Comparability	Stable
4.2.6 Coherence	Stable
4.2.7 Additional comments

ext-container hidden">

5. Relevance

Top

5.1. Relevance - User Needs

5.1.1 If certain user needs are not met, please specify which and why	Not applicable
5.1.2 Please specify any plans to satisfy needs more completely in the future	Not applicable
5.1.3 Additional comments

5.2. Relevance - User Satisfaction

5.2.1 Has a user satisfaction survey been conducted?	Yes
If Yes, please answer all the following questions
5.2.2 Year of the user satisfaction survey	2021
5.2.3 How satisfied were the users?	Satisfied
5.2.4 Additional comments

5.3. Completeness

5.3.1 Data completeness - rate	95%
5.3.2 If not complete, which characteristics are missing?	No data are available about stocks at the end of the marketing year.
5.3.3 Additional comments

6. Accuracy and reliability

Top

6.1. Accuracy - overall

6.1.1 How good is the accuracy?	Good
6.1.2 What are the main factors lowering the accuracy?	Coverage error Model assumption error
6.1.3 If Other, please specify
6.1.4 Additional comments

6.2. Sampling error

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.2 of the annexed Excel file
6.2.1 Name/Title	Crop Production Survey
6.2.2 Methods used to assess the sampling error	Other
6.2.3 If Other, please specify	Sampling errors have not been assessed as survey data (yields) have been used only in combination with an administrative register.
6.2.4 Methods used to derive the extrapolation factor	Basic weight Non-response
6.2.5 If Other, please specify
6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas
6.2.7 Sampling error - indicators	Not applicable
6.2.8 Additional comments	Coefficients of variation have not been assessed as survey data (yields) have been used only in combination with an administrative register.

6.3. Non-sampling error

See sections below.

6.3.1. Coverage error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file
6.3.1.1 Name/Title	Intrastat
Over-coverage
6.3.1.2 Does the sample frame include wrongly classified units that are out of scope?	No
6.3.1.3 What methods are used to detect the out-of scope units?	VAT declaration
6.3.1.4 Does the sample frame include units that do not exist in practice?	No
6.3.1.5 Over-coverage - rate	Not applicable
6.3.1.6 Impact on the data quality	None
Under-coverage
6.3.1.7 Does the sample frame include all units falling within the scope of this survey?	No
6.3.1.8 If Not, which units are not included?	Intrastat questionnaires shall not be submitted by enterprises whose turnover for trade with EU Member States is below the statistical threshold set for the reporting year.
6.3.1.9 How large do you estimate the proportion of those units? (%)	82%
6.3.1.10 Impact on the data quality	Low
Misclassification
6.3.1.11 Impact on the data quality	None
Common units
6.3.1.12 Common units - proportion	Not applicable
6.3.1.13 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file
6.3.1.14 Name/Title	Crop Production Survey
Over-coverage
6.3.1.15 Does the sample frame include wrongly classified units that are out of scope?	No
6.3.1.16 What methods are used to detect the out-of scope units?	Not applicable
6.3.1.17 Does the sample frame include units that do not exist in practice?	No
6.3.1.18 Over-coverage - rate	Not applicable
6.3.1.19 Impact on the data quality	None
Under-coverage
6.3.1.20 Does the sample frame include all units falling within the scope of this survey?	Yes
6.3.1.21 If Not, which units are not included?	Not applicable
6.3.1.22 How large do you estimate the proportion of those units? (%)	Not applicable
6.3.1.23 Impact on the data quality	None
Misclassification
6.3.1.24 Impact on the data quality	None
Common units
6.3.1.25 Common units - proportion	Not applicable
6.3.1.26 Additional comments

Administrative data

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 6.3 of the annexed Excel file
6.3.1.27 Name/Title of the administrative source	Land use data from IACS (Register of Agricultural Support and Agricultural Parcels)
Over-coverage
6.3.1.28 Does the administrative source include wrongly classified units that are out of scope?	No
6.3.1.29 What methods are used to detect the out-of scope units?	Not applicable
6.3.1.30 Does the administrative source include units that do not exist in practice?	No
6.3.1.31 Over-coverage - rate	Not applicable
6.3.1.32 Impact on the data quality	None
Under-coverage
6.3.1.33 Does the administrative source include all units falling within the scope of this survey?	Yes
6.3.1.34 If Not, which units are not included?	Not applicable
6.3.1.35 How large do you estimate the proportion of those units? (%)	Not applicable
6.3.1.36 Impact on the data quality	None
Misclassification
6.3.1.37 Impact on the data quality	None
6.3.1.38 Additional comments

6.3.2. Measurement error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file
6.3.2.1 Name/Title	Intrastat
6.3.2.2 Is the questionnaire based on usual concepts for respondents?	Yes
6.3.2.3 Number of censuses already performed with the current questionnaire?	202
6.3.2.4 Preparatory testing of the questionnaire?	No
6.3.2.5 Number of units participating in the tests?	0
6.3.2.6 Explanatory notes/handbook for surveyors/respondents?	Yes
6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents?	Yes
6.3.2.8 Are there pre-filled questions?	No
6.3.2.9 Percentage of pre-filled questions out of total number of questions	0%
6.3.2.10 Other actions taken for reducing the measurement error?	-
6.3.2.11 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file
6.3.2.12 Name/Title	Crop Production Survey
6.3.2.13 Is the questionnaire based on usual concepts for respondents?	Yes
6.3.2.14 Number of surveys already performed with the current questionnaire?	41
6.3.2.15 Preparatory testing of the questionnaire?	No
6.3.2.16 Number of units participating in the tests?	Not applicable
6.3.2.17 Explanatory notes/handbook for surveyors/respondents?	Yes
6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents?	Yes
6.3.2.19 Are there pre-filled questions?	Yes
6.3.2.20 Percentage of pre-filled questions out of total number of questions	All data on crop areas available from IFS or administrative sources were used to pre-fill the corresponding fields in the questionnaire.
6.3.2.21 Other actions taken for reducing the measurement error?	Average yields were calculated for each holding and compared with normal values.
6.3.2.22 Additional comments

6.3.3. Non response error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file
6.3.3.1 Name/Title of the survey	Intrastat
6.3.3.2 Unit non-response - rate	5%
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context?	High
6.3.3.4 Measures taken for minimising the unit non-response	Reminders Legal actions
6.3.3.5 If Other, please specify
6.3.3.6 Item non-response rate	Not applicable
6.3.3.7 Item non-response rate - Minimum
6.3.3.8 Item non-response rate - Maximum
6.3.3.9 Which items had a high item non-response rate?	Not applicable
6.3.3.10 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file
6.3.3.11 Name/Title of the survey	Crop Production Survey
6.3.3.12 Unit non-response - rate	14%
6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context?	Low
6.3.3.14 Measures taken for minimising the unit non-response	Follow-up interviews Reminders Imputation Weighting
6.3.3.15 If Other, please specify
6.3.3.16 Item non-response rate	0%*
6.3.3.17 Item non-response rate - Minimum
6.3.3.18 Item non-response rate - Maximum
6.3.3.19 Which items had a high item non-response rate?
6.3.3.20 Additional comments	* Only data on final average yields were received from the Crop Production Survey and data on areas from the FSS. There was no item non-response in FSS in the case of crop areas, as the data were available from administrative data sources and the questions were pre-filled using these data.

6.3.4. Processing error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file
6.3.4.1 Name/Title	Intrastat
6.3.4.2 Imputation - rate	Not applicable
6.3.4.3 Imputation - basis
6.3.4.4 If Other, please specify
6.3.4.5 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file
6.3.4.6 Name/Title	Crop Production Survey
6.3.4.7 Imputation - rate	Not applicable
6.3.4.8 Imputation - basis
6.3.4.9 If Other, please specify
6.3.4.10 How do you evaluate the impact of imputation on Coefficients of Variation?
6.3.4.11 Additional comments

6.3.5. Model assumption error

Model calculation is used for stock estimates. Final stocks are estimated on the basis of stocks at the beginning of the year and changes in the production.

6.4. Seasonal adjustment

Not applicable

6.5. Data revision - policy

The data revision policy and notification of corrections are described in the dissemination policy of Statistics Estonia at https://www.stat.ee/en/statistics-estonia/about-us/strategy/principles-dissemination-official-statistics

6.6. Data revision - practice

6.6.1 Data revision - average size	0
6.6.2 Were data revisions due to conceptual changes (e.g. new definitions) carried out since the last quality report?	No
6.6.3 What was the main reason for the revisions?	The published data may be revised if the methodology is modified, errors are discovered, new or better data become available.
6.6.4 How do you evaluate the impact of the revisions?	Not important
6.6.5 Additional comments

7. Timeliness and punctuality

Top

7.1. Timeliness

7.1.1 When were the first results for the reference period published?	Not applicable
7.1.2 When were the final results for the reference period published?	T+81
7.1.3 Reasons for possible long production times?	Not applicable

7.2. Punctuality

7.2.1 Were data released nationally according to a pre-announced schedule (Release Calendar)?	Yes
7.2.2 If Yes, were data released on the target date?	Yes
7.2.3 If No, reasons for delays?
7.2.4 Number of days between the national release date of data and the target date	Not applicable

8. Coherence and comparability

Top

8.1. Comparability - geographical

To be assessed by Eurostat

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable

8.2. Comparability - over time

8.2.1 Length of comparable time series	Since 2017
8.2.2 Have there been major breaks in the time series?	Yes
8.2.3 If Yes, please specify the year of break and the reason	Since 2017, the new methodology proposed by Eurostat has been used.
8.2.4 Additional comments

8.3. Coherence - cross domain

8.3.1 With which other national data sources have the data been compared?	None
8.3.2 If Other, please specify
8.3.3 Describe briefly the results of comparisons	Production data are derived from crop statistics. Data on imports and exports are derived from foreign trade statistics.
8.3.4 If no comparisons have been made, explain why
8.3.5 Additional comments

8.4. Coherence - sub annual and annual statistics

Not applicable

8.5. Coherence - National Accounts

Not applicable

8.6. Coherence - internal

Not applicable

9. Accessibility and clarity

Top

9.1. Dissemination format - News release

9.1.1 Do you publish a news release?	No
9.1.2 If Yes, please provide a link

9.2. Dissemination format - Publications

9.2.1 Do you produce a paper publication?	No
9.2.2 If Yes, is there an English version?
9.2.3 Do you produce an electronic publication?	No
9.2.4 If Yes, is there an English version?
9.2.5 Please provide a link

9.3. Dissemination format - online database

9.3.1 Data tables - consultations	Online data tables were consulted 782 times in 2020.
9.3.2 Is an on-line database accessible to users?	Yes
9.3.3 Please provide a link	https://andmed.stat.ee/en/stat

9.4. Dissemination format - microdata access

9.4.1 Are micro-data accessible to users?	No
9.4.2 Please provide a link

9.5. Dissemination format - other

Not applicable

9.6. Documentation on methodology

9.6.1 Are national reference metadata files available?	Yes
9.6.2 Please provide a link	https://www.stat.ee/en/find-statistics/methodology-and-quality/esms-metadata/21213
9.6.3 Are methodological papers available?	No
9.6.4 Please provide a link
9.6.5 Is a handbook available?	Yes
9.6.6 Please provide a link	Handbook compiled by Eurostat has been used.

9.7. Quality management - documentation

9.7.1 Metadata completeness - rate	Metadata are complete.
9.7.2 Metadata - consultations	Not available
9.7.3 Is a quality report available?	Yes
9.7.4 Please provide a link	Quality report has been compiled at the request of Eurostat.

10. Cost and Burden

Top

10.1 Efficiency gains if compared to the previous quality report	None
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report	None
10.4 If Other, please specify

11. Confidentiality

Top

11.1. Confidentiality - policy

11.1.1 Are confidential data transmitted to Eurostat?	Yes
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009?	Yes
11.1.3 Describe the data confidentiality policy in place	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.

11.2. Confidentiality - data treatment

11.2.1 Describe the procedures for ensuring confidentiality during dissemination	The treatment of confidential data is regulated by the Procedure for Protection of Data Collected and Processed by Statistics Estonia: https://www.stat.ee/en/statistics-estonia/about-statistics-estonia/legal-acts
11.2.2 Additional comments

12. Comment

Related metadata

Annexes