Crop balance sheets (apro_cbs)

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

Compiling agency: Statistics Lithuania


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

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1. Contact Top
1.1. Contact organisation

Statistics Lithuania

1.2. Contact organisation unit

Agricultural, environmental anf energy statistics division

1.5. Contact mail address

29 Gedimino Ave., LT-01500, Vilnius, Lithuania


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 (rape and turnip rape seeds, sunflower seed, soya)


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?


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, a.s.o)

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

Crop balances for main cereals and oilseeds compiled from 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

 

 

 

Sample Survey

 X

 

 

 

Administrive data source

 

 X

X

X

Agro-economic model

 

 

 

 

Expert Estimates

 

 

 

 

 

 

 

 

 


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

Total survey (census) on crops production from arable land, vegetables, permanent crops for agricultural companies and enterprises

3.1.3 Name of Organisation responsible

Statistics Lithuania

3.1.4 Main scope

For crops statistics data sources and quality characteristics please refer to the Crop production quality report

3.1.5 List used to build the frame

For crops statistics data sources and quality characteristics please refer to the Crop production quality report

3.1.6 Any possible threshold values

For crops statistics data sources and quality characteristics please refer to the Crop production quality report

3.1.7 Population size

For crops statistics data sources and quality characteristics please refer to the Crop production quality report

3.1.8 Additional comments

For crops statistics data sources and quality characteristics please refer to the Crop production quality report


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

Sample survey on agricultural crop area and production for farmers’ and family farms

3.1.10  Name of Organisation responsible

Statistics Lithuania

3.1.11  Main scope

For crops statistics data sources and quality characteristics please refer to the Crop production quality report

3.1.12  List used to build the frame

For crops statistics data sources and quality characteristics please refer to the Crop production quality report

3.1.13  Any possible threshold values

For crops statistics data sources and quality characteristics please refer to the Crop production quality report

3.1.14  Population size

For crops statistics data sources and quality characteristics please refer to the Crop production quality report

3.1.15  Sample size

For crops statistics data sources and quality characteristics please refer to the Crop production quality report

3.1.16  Sampling basis

List

3.1.17  If Other, please specify

3.1.18  Type of sample design

Stratified

3.1.19 If Other, please specify

3.1.20 If Stratified, number of strata

For crops statistics data sources and quality characteristics please refer to the Crop production quality report

3.1.21 If Stratified, stratification criteria

3.1.22 If Other, please specify

3.1.23 Additional comments

For crops statistics data sources and quality characteristics please refer to the Crop production quality report


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

Aggregated statistical information on crops and oilseeds purchases, processing and stocks.

3.1.25 Name of Organisation responsible

Agriculture information and rural business center

3.1.26 Contact information (email and phone)

Email info@vic.lt

Phone: +370 5 266 0601

3.1.27 Main administrative scope

Data on purchases, processing and stocks collected from companies and enterprises which activities related to crops and oilseeds purchases, processing and storage. Also data on stocks collected from farmers' and family farms who owned 50 ha or more.  

3.1.28 Geospatial Coverage

National

3.1.29 Update frequency

Monthly

3.1.30 Legal basis

REGULATION (EU) No 1308/2013 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 17 December 2013 establishing a common organisation of the markets in agricultural products and repealing Council Regulations (EEC) No 922/72, (EEC) No 234/79, (EC) No 1037/2001 and (EC) No 1234/2007

3.1.31 Are you able to access directly to the micro data?

No

3.1.32 Are you able to check the plausibility of the data, namely by contacting directly the units?

No

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

-

3.1.35 Is a different threshold used in the administrative source and statistical data?

No

3.1.36 If Yes, please specify

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

3.1.39 Primary purpose

3.1.40 Legal basis

3.1.41 Update frequency

3.1.42 Expert data supplier

3.1.43 If Other, please specify

3.1.44 How would you assess the quality of those data?

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

 

3.1.55 Name of Organisation

3.1.56 Primary purpose

3.1.57 Data type

3.1.58 If Other, please specify

3.1.59 How would you assess the quality of those data?

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

Total survey (census) on crops production from arable land, vegetables, permanent crops for agricultural companies and enterprises

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)

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

Sample survey on agricultural crop area and production for farmers’ and family farms

3.3.9 Methods of data collection

Electronic questionnaire
Face-to-face interview

3.3.10 If Other, please specify

3.3.11 If face-to-face or telephone interview, which method is used?

Paper questionnaire
Electronic questionnaire

3.3.12 Data entry method, if paper questionnaires?

Manual

3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)

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

Aggregated statistical information on crops and oilseeds purchases, processing and stocks.

3.3.16 Extraction date

23 day after the end of reference period

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

Yearly aggregated data received by email under request. Monthly data are available on website www.vic.lt

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?

Outliers
Aggregates

3.4.3 If Other, please specify

3.5. Data compilation

3.5.1 Describe the data compilation process

Crops balances are compiled at the national level for a calendar year for following products: wheat & spelt, durum wheat, barley, grain maize & corn-cob-mix, rape and turnip rape seeds, sunflower seed and soya

3.5.2 Additional comments

3.6. Adjustment

-


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?

The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice. In 2007, a quality management system, conforming with the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania.

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?

Improve data validation

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

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5. Relevance Top
5.1. Relevance - User Needs

5.1.1 If certain user needs are not met, please specify which and why

-

5.1.2 Please specify any plans to satisfy needs more completely in the future

-

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

Last user satisfaction survey was conducted in 2017

5.2.3 How satisfied were the users?

Satisfied

5.2.4 Additional comments

5.3. Completeness

5.3.1 Data completeness - rate

All variables laid down in the ESS agreement are published.

5.3.2 If not complete, which characteristics are missing?

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

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

Sample survey on agricultural crop area and production for farmers’ and family farms. For crops statistics data sources and quality characteristics please refer to the Crop production quality report

6.2.2 Methods used to assess the sampling error

6.2.3 If Other, please specify

6.2.4 Methods used to derive the extrapolation factor

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

Please provide the coefficients of variation in table 6.2 of the annexed Excel file

6.2.8 Additional comments

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

Total survey (census) on crops production from arable land, vegetables, permanent crops for agricultural companies and enterprises. For crops statistics data sources and quality characteristics please refer to the Crop production quality report

Over-coverage

6.3.1.2 Does the sample frame include wrongly classified units that are out of scope?

6.3.1.3 What methods are used to detect the out-of scope units?

6.3.1.4 Does the sample frame include units that do not exist in practice?

6.3.1.5 Over-coverage - rate

6.3.1.6 Impact on the data quality

Under-coverage

6.3.1.7 Does the sample frame include all units falling within the scope of this survey?

6.3.1.8 If Not, which units are not included?

6.3.1.9 How large do you estimate the proportion of those units? (%)

[0-100]

6.3.1.10 Impact on the data quality

Misclassification

6.3.1.11 Impact on the data quality

Common units

6.3.1.12 Common units - proportion

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

Sample survey on agricultural crop area and production for farmers’ and family farms. For crops statistics data sources and quality characteristics please refer to the Crop production quality report

Over-coverage

6.3.1.15 Does the sample frame include wrongly classified units that are out of scope?

6.3.1.16 What methods are used to detect the out-of scope units?

6.3.1.17 Does the sample frame include units that do not exist in practice?

6.3.1.18 Over-coverage - rate

6.3.1.19 Impact on the data quality

Under-coverage 

6.3.1.20 Does the sample frame include all units falling within the scope of this survey?

6.3.1.21 If Not, which units are not included?

6.3.1.22 How large do you estimate the proportion of those units? (%)

[0-100]

6.3.1.23 Impact on the data quality

Misclassification

6.3.1.24 Impact on the data quality

Common units 

6.3.1.25 Common units - proportion

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

Over-coverage

6.3.1.28 Does the administrative source include wrongly classified units that are out of scope?

6.3.1.29 What methods are used to detect the out-of scope units?

6.3.1.30 Does the administrative source include units that do not exist in practice?

6.3.1.31 Over-coverage - rate

6.3.1.32 Impact on the data quality

Under-coverage

6.3.1.33 Does the administrative source include all units falling within the scope of this survey?

6.3.1.34 If Not, which units are not included?

6.3.1.35 How large do you estimate the proportion of those units? (%)

[0-100]

6.3.1.36 Impact on the data quality

Misclassification 

6.3.1.37 Impact on the data quality

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

Total survey (census) on crops production from arable land, vegetables, permanent crops for agricultural companies and enterprises. For crops statistics data sources and quality characteristics please refer to the Crop production quality report

6.3.2.2 Is the questionnaire based on usual concepts for respondents?

6.3.2.3 Number of censuses already performed with the current questionnaire?

6.3.2.4 Preparatory testing of the questionnaire?

6.3.2.5 Number of units participating in the tests? 

6.3.2.6 Explanatory notes/handbook for surveyors/respondents? 

6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents?

6.3.2.8 Are there pre-filled questions?

6.3.2.9 Percentage of pre-filled questions out of total number of questions

[0-100]

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

Sample survey on agricultural crop area and production for farmers’ and family farms. For crops statistics data sources and quality characteristics please refer to the Crop production quality report

6.3.2.13 Is the questionnaire based on usual concepts for respondents?

6.3.2.14 Number of surveys already performed with the current questionnaire?

6.3.2.15 Preparatory testing of the questionnaire?

6.3.2.16 Number of units participating in the tests? 

6.3.2.17 Explanatory notes/handbook for surveyors/respondents? 

6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents?

6.3.2.19 Are there pre-filled questions?

6.3.2.20 Percentage of pre-filled questions out of total number of questions

[0-100]

6.3.2.21 Other actions taken for reducing the measurement error?

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

Total survey (census) on crops production from arable land, vegetables, permanent crops for agricultural companies and enterprises. For crops statistics data sources and quality characteristics please refer to the Crop production quality report

6.3.3.2 Unit non-response - rate

6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context?

6.3.3.4 Measures taken for minimising the unit non-response

6.3.3.5 If Other, please specify

6.3.3.6 Item non-response rate

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? 

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

Sample survey on agricultural crop area and production for farmers’ and family farms. For crops statistics data sources and quality characteristics please refer to the Crop production quality report

6.3.3.12 Unit non-response - rate

6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context?

6.3.3.14 Measures taken for minimising the unit non-response

6.3.3.15 If Other, please specify

6.3.3.16 Item non-response rate

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

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

Total survey (census) on crops production from arable land, vegetables, permanent crops for agricultural companies and enterprises. For crops statistics data sources and quality characteristics please refer to the Crop production quality report

6.3.4.2 Imputation - rate

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

Sample survey on agricultural crop area and production for farmers’ and family farms. For crops statistics data sources and quality characteristics please refer to the Crop production quality report

6.3.4.7 Imputation - rate

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

Total survey (census) on crops production from arable land, vegetables, permanent crops for agricultural companies and enterprises. For crops statistics data sources and quality characteristics please refer to the Crop production quality report

6.4. Seasonal adjustment

Not applicable

6.5. Data revision - policy

Statistics Lithuania’s revision policy is provided in the document General Principles behind the Performance, Analysis and Announcement of Revisions of Statistical Indicators.

6.6. Data revision - practice

6.6.1 Data revision - average size

Not applicable

6.6.2 Were data revisions due to conceptual changes (e.g. new definitions) carried out since the last quality report?

6.6.3 What was the main reason for the revisions?

6.6.4 How do you evaluate the impact of the revisions?

6.6.5 Additional comments

The results published are final and not revised later.


7. Timeliness and punctuality Top
7.1. Timeliness

7.1.1 When were the first results for the reference period published?

Crop products first results are published on the 230th day after the end of the reference period.

7.1.2 When were the final results for the reference period published?

Crop products final resuls are published on the 230th day after the end of the reference period.

7.1.3 Reasons for possible long production times?

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

Data released on the target date on which they were scheduled to release.


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

From 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

Due to different methodology crop balances has time series break in 2017

8.2.4 Additional comments
8.3. Coherence - cross domain

8.3.1 With which other national data sources have the data been compared?

Other

8.3.2 If Other, please specify

Crop statistics and trade statistics data directly used to compile crop balances. There are no comparison between crops and trade statistics and crop balances. 

8.3.3 Describe briefly the results of comparisons

-

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?

No

9.2.5 Please provide a link

 

9.3. Dissemination format - online database

9.3.1 Data tables - consultations

Not applicable

9.3.2 Is an on-line database accessible to users?

Yes

9.3.3 Please provide a link

https://osp.stat.gov.lt/statistiniu-rodikliu-analize#/

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

-

9.6. Documentation on methodology

9.6.1 Are national reference metadata files available?

Yes

9.6.2 Please provide a link

https://osp.stat.gov.lt/zemes-ukis1

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

Crop balances handbook 2018 available at circabc.

9.7. Quality management - documentation

9.7.1 Metadata completeness - rate

Metadata file fully completed

9.7.2 Metadata - consultations

None

9.7.3 Is a quality report available? No
9.7.4 Please provide a link


10. Cost and Burden Top

10.1 Efficiency gains if compared to the previous quality report

Other

10.2 If Other, please specify

Administrative data and other statistical surveys data are used for compilation of Crop balances.

10.3 Burden reduction measures since the previous quality report

Other

10.4 If Other, please specify

 There are no burden for respondents, because administrative data and other statistical surveys data are used for compilation of Crop balances.


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

In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania.

11.2. Confidentiality - data treatment

11.2.1 Describe the procedures for ensuring confidentiality during dissemination

Procedures for confidenciality described in:

Statistical Disclosure Control Manual, approved by Order No DĮ-273 of 15 November 2021 of the Director General of Statistics Lithuania;

The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-202 of 27 August 2021 of the Director General of Statistics Lithuania.

11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
CropsBS-Annex