Landings of fishery products (fish_ld)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: Ministry of Agriculture of Latvia


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)
 



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1. Contact Top
1.1. Contact organisation

Ministry of Agriculture of Latvia
1.2. Contact organisation unit

Division of Fishing Management and Fish Resources, Department of Fishery
1.5. Contact mail address


2. Statistical presentation Top
2.1. Data description

Main characteristics

2.1.1 Describe shortly the main characteristics of the statistics  

The Landings Regulation (Reg (EC) 1921/2006) requires Member States and EEA EFTA States to submit statistical data on an annual basis and within six months of the end of the reference calendar year. They are required to provide data on total quantities and unit values of the fishery products landed in their territory by EU and EEA EFTA vessels.


Reference period

2.1.2 Reference period of the data collection 

2022


National legislation

2.1.3 Is there a national legislation covering these statistics?  Yes
If Yes, please answer all the following questions.   
2.1.4 Name of the national legislation 

Regulations for the Control of Caught Fish Landing and Inspection of Fish Marketing and Transport Facilities, Warehouses and Processing Premises
2.1.5 Link to the national legislation 

https://likumi.lv/ta/id/297288-nozvejoto-zivju-izkrausanas-kontroles-un-zivju-tirdzniecibas-un-transporta-objektu-noliktavu-un-razosanas-telpu-parbaudes-notei...
2.1.6 Responsible organisation for the national legislation 

Ministry of Agriculture
2.1.7 Year of entry into force of the national legislation 

2018
2.1.8 Please indicate which variables required under EU regulation are not covered by national legislation, if any.

There are no such variables
2.1.9 Please indicate which national definitions differ from those in the EU regulation, if any. 
2.1.10 Is there a legal obligation for respondents to reply?  Yes


Additional comments on data description
2.2. Classification system

Data are broken down by:
1) the species of aquatic organisms identified using the 3-alpha codes as defined by the FAO (ASFIS List of Species for Fishery Statistics Purposes);
2) the flag state of the fishing vessels carrying out landings (as per the codes set out in Annex II to the Landings Regulation);
3) the ‘presentation’ of the products i.e. processed state of the fisheries product or part thereof e.g. fresh fillets, frozen headed and gutted, smoked, etc. (See Annex III of the Regulation);
4) the intended use of the products i.e. how landed fish are intended to be used e.g. for human consumption, industrial uses, bait etc. (See Annex IV to the Regulation).
2.3. Coverage - sector

Fishery products landed on Member States territory and EEA EFTA States territory by EU and EEA EFTA vessels
2.4. Statistical concepts and definitions

Total quantities and corresponding value of all fishery products landed in the reporting country are to be reported, regardless of the nationality of the vessel making the landings. Landings by vessels of the reporting country in foreign ports are excluded. Details on products presentation and intended use are required, as well as vessel nationality.
'Community fishing vessels' means fishing vessels flying the flag of an EU Member State and registered in the Community.
'EFTA fishing vessels' means fishing vessels flying the flag of, or registered in, an EEA EFTA country.
'Unit value' means the value at first sale of the fishery products landed (in national currency) divided by the quantity landed (in tonnes), or for fishery products not immediately sold, the average price per tonne in national currency, estimated using an appropriate method.
Landed quantities are expressed in Tonnes Product Weight.
Unit values are reported as unit price in national currency per tonne.
2.5. Statistical unit

The basic statistical units are the individual fishing vessels
2.6. Statistical population

All registered vessels having a fishing activity and landing fishery products in the EU and in the EEA EFTA States.
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?

There are no special territories.
2.8. Coverage - Time

From 2006
2.9. Base period

Not applicable.


3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used

2
The breakdown is as follows: 
3.1.2 Total number of sources of the type "Census"

1
3.1.3 Total number of sources of the type "Sample survey"

0
3.1.4 Total number of sources of the type "Administrative source"

1
3.1.5 Total number of sources of the type "Experts"

0
3.1.6 Total number of sources of the type "Other sources"

0


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 
3.1.7 Name/Title

1-Fisheries
3.1.8 Name of Organisation responsible

Central Statistical Bureau of Latvia
3.1.9 Main scope

Collects relevant year and quarter data on fishing vessels (divided by segments) including summaries of Latvian vessels catches in coastal, Baltic Sea and Gulf of Riga waters, as well as in Atlantic (high-seas) fisheries. These statistical forms contain also necessary economic data of the respective fleets and fisheries which has been used for Fisheries Data Collection Programme purposes.
3.1.10 Marine fishing areas covered Atlantic, Northwest
Atlantic, Northeast
Atlantic, Eastern Central
Atlantic, Southwest
Atlantic, Southeast
3.1.11 List used to build the frame

Information from Ministry of Agriculture on licensed fishing companies.
3.1.12 Any possible threshold values

None
3.1.13 Population size

Approximately 200. All fishing companies have to fill this census. Some of these companies have more than one fishing vessel, however, census should be filled for each company and not for each fishing vessel.
3.1.14 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 
3.1.15 Name/Title
3.1.16 Name of Organisation responsible
3.1.17 Main scope
3.1.18 Marine fishing areas covered
3.1.19 List used to build the frame
3.1.20 Any possible threshold values
3.1.21 Population size
3.1.22 Sample size
3.1.23 Sampling basis
3.1.24 If Other, please specify
3.1.25 Type of sample design
3.1.26 If Other, please specify
3.1.27 If Stratified, number of strata
3.1.28 If Stratified, stratification criteria
3.1.29 If Other, please specify
3.1.30 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 of the annexed Excel file 
3.1.31 Name/Title

Fisheries Integrated Control and Information System
3.1.32 Name of Organisation responsible

Ministry of Agriculture
3.1.33 Contact information (email and phone)

ilze.rutkovska@zm.gov.lv, +371 67027108
3.1.34 Main administrative scope

Information system contains three basic information parts: fishing vessels' data, fishing vessel's logbooks and landing declarations, information on fishing licences.

This system contains all most important information concerning fisheries.
3.1.35 Geospatial Coverage National
3.1.36 Type of administrative documents collected Electronic logbooks
Coastal fishery forms
Sales notes
Landings declarations
Transhipment declarations
3.1.37 If Other, please specify
3.1.38 Are these documents in accordance with the rules set in the current EU Regulations (EC) 1224/2009 and (EU) 404/2011 for each of your fleet segments? Yes
3.1.39 If partially, which rules are not applied?
3.1.40 Are landing data for vessels under 10 metres long collected? Yes
3.1.41 Is the Electronic Reporting System (ERS) used for vessels above 12 meters as foreseen in Regulations (EC) 1224/2009 and (EU) 404/2011? Yes
3.1.42 Is the Vessel Monitoring System (VMS) used for vessels above 12 meters as foreseen in Regulations (EC) 1224/2009 and (EU) 404/2011? Yes
3.1.43 Marine fishing areas covered Atlantic, Northwest
Atlantic, Northeast
Atlantic, Eastern Central
Atlantic, Southwest
Atlantic, Southeast
3.1.44 Update frequency Continuous
3.1.45 Legal basis

Fishery Law, Council Regulation (EEC) No 2847/93 of 12 October 1993 establishing a control system applicable to the common fisheries policy
3.1.46 Are you able to access directly to the micro data? Yes
3.1.47 Are you able to check the plausibility of the data, namely by contacting directly the units? Yes
3.1.48 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? Very good
3.1.49 Please list the main differences between the administrative source and the statistical definitions and concepts

none
3.1.50 Is a different threshold used in the administrative source and statistical data? No
3.1.51 If Yes, please specify
3.1.52 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 
3.1.53 Name/Title
3.1.54 Primary purpose
3.1.55 Legal basis
3.1.56 Update frequency
3.1.57 Expert data supplier
3.1.58 If Other, please specify
3.1.59 How would you assess the quality of those data?
3.1.60 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 
3.1.61 Name/Title
3.1.62 Name of Organisation
3.1.63 Primary purpose
3.1.64 Data type
3.1.65 If Other, please specify
3.1.66 How would you assess the quality of those data?
3.1.67 Additional comments

 
3.2. Frequency of data collection

Annual
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

1-Fisheries
3.3.2 Methods of data collection Postal questionnaire
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? Manual
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)

See below
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
3.3.9 Methods of data collection
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)
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

Fisheries integrated control and information system
3.3.16 Extraction date

30.06.2022.
3.3.17 How easy is it to get access to the data? Direct constant access
3.3.18 Data transfer method

Directly from system
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


Annexes:
Census 1-Fisheries
3.4. Data validation
3.4.1 Which kind of data validation measures are in place? Manual
3.4.2 What do they target? Consistency
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

According to EU requirements, Council Regulation (EC) No 1224/2009 of 20 November 2009 establishing a Community control system for ensuring compliance with the rules of the common fisheries policy, amending Regulations (EC) No 847/96, (EC) No 2371/2002, (EC) No 811/2004, (EC) No 768/2005, (EC) No 2115/2005, (EC) No 2166/2005, (EC) No 388/2006, (EC) No 509/2007, (EC) No 676/2007, (EC) No 1098/2007, (EC) No 1300/2008, (EC) No 1342/2008 and repealing Regulations (EEC) No 2847/93, (EC) No 1627/94 and (EC) No 1966/2006
3.5.2 Which conversion factors were used from tonnes product weight (TPW) to tonnes live weight (TLW)? EU conversion factors
3.5.3 Additional comments
3.6. Adjustment

Not applied.


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?

We follow the rules set by Statistics Quality Politics that are implemented in our organisation.
4.1.3 Has a peer review been carried out? Yes
4.1.4 If Yes, which were the main conclusions?

Data quality is very high.
4.1.5 What quality improvements are foreseen?
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


5. Relevance Top
5.1. Relevance - User Needs
5.1.1 If certain user needs are not met, please specify which and why

All user needs are met.
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? No
If Yes, please answer all the following questions 
5.2.2 Year of the user satisfaction survey
5.2.3 How satisfied were the users?
5.2.4 Additional comments
5.3. Completeness
5.3.1 Data completeness - rate

100%
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? Very good
6.1.2 What are the main factors lowering the accuracy? Measurement error
6.1.3 If Other, please specify
6.1.4 Additional comments
6.2. Sampling error

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 6.2 of the annexed Excel file 
6.2.1 Name/Title
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 the worksheet CV 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

1-Fisheries
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?
6.3.1.4 Does the sample frame include units that do not exist in practice? No
6.3.1.5 Over-coverage - rate

0
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? Yes
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? (%)
6.3.1.10 Impact on the data quality None
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
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? (%)
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

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

Fisheries Integrated Control and Information System
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?

Mannual
6.3.1.30 Does the administrative source include units that do not exist in practice? No
6.3.1.31 Over-coverage - rate

0
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?
6.3.1.35 How large do you estimate the proportion of those units? (%)
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

1-Fisheries
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?

21
6.3.2.4 Preparatory testing of the questionnaire? No
6.3.2.5 Number of units participating in the tests? 

none
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?

none
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
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
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

1-Fisheries
6.3.3.2 Unit non-response - rate

Filling of questionare is obligatory. There are no non-response.
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context? Very low
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

0
6.3.3.7 Item non-response rate - Minimum

0
6.3.3.8 Item non-response rate - Maximum

0
6.3.3.9 Which items had a high item non-response rate? 

none
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
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

1-Fisheries
6.3.4.2 Imputation - rate

none
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
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 Additionnal comments
6.3.5. Model assumption error

Not applicable.
6.4. Seasonal adjustment

Not applicable.
6.5. Data revision - policy

Data of landings are checked by State Environmental Service. After that data are compared with data of first-sale documents.
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?
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?

Latvia publish only catch data, not landings.
7.1.2 When were  the final results for the reference period published?

Latvia publish only catch data, not landings.
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)? No
7.2.2 If Yes, were data released on the target date?
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
7.2.4. Punctuality - delivery and publication


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 2007
8.2.2 Have there been major breaks in the time series? No
8.2.3 If Yes, please specify the year of break and the reason
8.2.4 Additional comments
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared? Data submitted to other organisations
8.3.2 If Other, please specify
8.3.3 Describe briefly the results of comparisons

Usually no differences
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


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

Not applicable.
9.3.2 Is an on-line database accessible to users? Yes
9.3.3 Please provide a link

https://ec.europa.eu/eurostat/web/fisheries/database
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://www.zm.gov.lv/lv/izkrauto-zivju-daudzums-un-videja-cena
9.6.3 Are methodological papers available? No
9.6.4 Please provide a link
9.6.5 Is a handbook available? No
9.6.6 Please provide a link
9.7. Quality management - documentation
9.7.1 Metadata completeness - rate

100%
9.7.2 Metadata - consultations

0
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 None
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report More user-friendly questionnaires
Easier data transmission
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 confidentiality of the information provided by respondents is protected by the Statistics Law:

  • Article 7, second paragraph, point 8, which establishes the obligation for the statistical authority to provide statistical confidentiality,
  • Article 17, which lays down the procedures for processing and the requirements for their protection,
  • Article 19, Paragraph one, statistics allowing the distribution of a person or a public authority to identify restrictions.
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

We don't publish confidential data at all or make aggregates.

Data of a natural person obtained for the production of official statistics shall be anonymised immediately after collection, testing and linking thereof, except the case where personal data are still required for production of official statistics. The statistical institution shall ensure that the identifying data are stored safely and separately from other data.The statistical institution shall take all the necessary measures to prevent unauthorised access to data, data modification or dissemination, accidental or unauthorised destruction.

Employees of the statistical institution shall not disclose data or any other restricted access information coming to their knowledge in the performance of their service or work duties. This shall also apply to persons who are temporarily involved in the production of official statistics or have terminated employment or service relations.
11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
LV