Landings of fishery products (fish_ld)

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

Compiling agency: Natural Resources Institute Finland


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

Natural Resources Institute Finland
1.2. Contact organisation unit

Statistical services
1.5. Contact mail address
Miikka Husa
Natural Resources Institute Finland
Latokartanonkaari 9
FI-00790 Helsinki
Finland
Pirkko Söderkultalahti
Natural Resources Institute Finland
Latokartanonkaari 9
FI-00790 Helsinki
Finland


2. Statistical presentation Top
2.1. Data description

Main characteristics

2.1.1 Describe shortly the main characteristics of the statistics  

The statistics describes annual commercial fish landings in Finland. Data consists of landing declarations made by commercial fishermen and the price information given by fish first hand buyers.


Reference period

2.1.2 Reference period of the data collection 

The calender year preceding the reporting year.


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 

The compilation of the statistics is based on the Act on the Natural Resources Institute Finland (561/2014), the Act on Food and Natural Resources Statistics (562/2014), the Statistics Act (280/2004) and the Fishing Act (379/2015).
2.1.5 Link to the national legislation 

https://www.finlex.fi/en/
2.1.6 Responsible organisation for the national legislation 

The Finnish Parliament
2.1.7 Year of entry into force of the national legislation 

2004, 2014, 2016
2.1.8 Please indicate which variables required under EU regulation are not covered by national legislation, if any.

Bycatch
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

All fishery products landed in Finland by EU and 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.
 
The landing statistics is basically a census statistics. For non quota species the prices are estimated by a panel survey until 2022.
2.5. Statistical unit

The basic statistical units are the individual fishing vessels for > 10 meter vessels and fishermen for under 10 meter vessels and for fishing which is conducted without a vessel (e.g. fishing on ice).
2.6. Statistical population

All registered EU and EFTA vessels landing fishery products in Finland.
2.7. Reference area
2.7.1 Geographical area covered

The entire territory of Finland.
2.7.2 Which special Member State territories are included?

Not applicable
2.8. Coverage - Time

Landings data are available 2000-2022.
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"

0
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"

1


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
3.1.8 Name of Organisation responsible
3.1.9 Main scope
3.1.10 Marine fishing areas covered
3.1.11 List used to build the frame
3.1.12 Any possible threshold values
3.1.13 Population size
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

 The National Central Control Register on Commecial Fishery
3.1.32 Name of Organisation responsible

The Centres for Economic Development, Transport and the Environment (ELY)
3.1.33 Contact information (email and phone)

Nina Helenius

nina.helenius@ely-keskus.fi

 +358 295 023 085
3.1.34 Main administrative scope

To control fisheries and to follow the fulfilling of fishing quota.
3.1.35 Geospatial Coverage National
3.1.36 Type of administrative documents collected Paper Logbooks
Electronic logbooks
Coastal fishery forms
Sales notes
Landings declarations
Transhipment declarations
3.1.37 If Other, please specify

VMS-data
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, Northeast
3.1.44 Update frequency Continuous
3.1.45 Legal basis

(Act on the system of sanctions and controls in the Common Fisheries Policy) Laki yhteisen kalastuspolitiikan seuraamusjärjestelmästä ja valvonnasta 1188/2014

The Fishing Act 379/2015
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
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

All sources except fish prices for non quota species until 2022 are administrative. From 2023 onwards only administrative sources are used.


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

Landings of fishery products, Producer prices for fish
3.1.62 Name of Organisation

Natural Resources Institute Finland (Luke)
3.1.63 Primary purpose

To estimate the producer prices of non-quota species
3.1.64 Data type Research data
3.1.65 If Other, please specify
3.1.66 How would you assess the quality of those data? Medium
3.1.67 Additional comments

The prices of non quota species are collected by a panel survey until 2022. The panel consists of major fish wholesalers. From 2023 onwards only administrative sources are used.

 
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
3.3.2 Methods of data collection
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
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

The National Central Control Register on Commercial Fishery
3.3.16 Extraction date

24/04/2023
3.3.17 How easy is it to get access to the data? Direct constant access
3.3.18 Data transfer method

ODBC
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
Automatic
3.4.2 What do they target? Completeness
Outliers
Consistency
Data flagging
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

The administrative landings data is checked to find out logical errors and corrected accordingly. The monthly and yearly landings and average fish producer prices (first hand sales) are calculated. The price information is calculated as averages weighted with volume purchased.
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

None.


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?

Compliance with the quality criteria is monitored by the Advisory Board of Official Statistics of Finland. It also has the task of developing the statistical system and the dissemination of statistics.
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?
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

No
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

Basically 100 %, except the prices of non-quota species
5.3.2 If not complete, which characteristics are missing?

Until 2021, the coverage of the price information of the non-quota species has been approximately 50%. In 2022 the coverage of administrative data significantly improved for price information of non quota species, and 2023 onwards only administrative data sources are used.
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

The price information of the non quota species covers about 50 % of the catch. Part of the catches of non quota species is sold by the fishermen direct to consumers. In 2022 the coverage of administrative data for price information of non quota species significantly improved. From 2023 onwards only administrative data sources are used.
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
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? (%)
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

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

The National Central Control Register on Commercial Fishery 
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?
6.3.1.30 Does the administrative source include units that do not exist in practice? No
6.3.1.31 Over-coverage - rate

None
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? No
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%
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
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
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
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
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
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
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
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
6.6. Data revision - practice
6.6.1 Data revision - average size

Not available

 
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?

None
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?

The landings statistics is not published nationally, only fish producer prices, The statistics on fish producer prices are published quarterly (prices of quota species) and annually in May (all species).

Time lag in the publication of quarterly prices (quota species) is three calendar months, i.e. the prices for the first quarter are published 1.7. The annual statistics, covering prices of all species, published in May, covers the montlhy prices of the previous calendar year. The date of the publication of annual statistics is not fixed, so the approximate time lag is 4 and half months.

Only the final results of the statistic are published.
7.1.2 When were  the final results for the reference period published?

3 or 4.5 months, see above
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

0
7.2.4. Punctuality - delivery and publication

0


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

Landings since 2000.
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

 Fish producer prices since 1980.
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
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? Yes
9.1.2 If Yes, please provide a link

We publish news releases only about fish prices and catches (not landings)
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? Yes
9.2.4 If Yes, is there an English version? No
9.2.5 Please provide a link

https://www.luke.fi/en/statistics/producer-prices-for-fish
https://www.luke.fi/en/statistics/commercial-marine-fishery
9.3. Dissemination format - online database
9.3.1 Data tables - consultations

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

Commercial fishery catches

Fish Producer Prices
9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? Yes
9.4.2 Please provide a link

It is possible to get access to micro-data, if data usage application is accepted. The usage of micro-data is restricted to statistics production and research purposes.
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
Catches (including landings): https://www.luke.fi/fi/media/13786
9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link
Catches (including landings): https://www.luke.fi/fi/media/13786
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

Not available
9.7.2 Metadata - consultations

Not available
9.7.3 Is a quality report available? Yes
9.7.4 Please provide a link

Catches (including landings): https://www.luke.fi/fi/media/13786
Prices: https://www.luke.fi/sites/default/files/2023-05/Kalan%20tuottajahinta%20Laaturaportti_EN_17052023.pdf


10. Cost and Burden Top
10.1 Efficiency gains if compared to the previous quality report Increased use of administrative data
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report Other
10.4 If Other, please specify

Panel survey to obtain price information for non quota species discontinued in 2022 due to increased coverage of administrative data


11. Confidentiality Top
11.1. Confidentiality - policy
11.1.1 Are confidential data transmitted to Eurostat? No
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009?
11.1.3 Describe the data confidentiality policy in place

The data is not cofidential in the level that is submitted to Eurostat
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

The aggrecation level that the data is submitted to Eurostat means that the results are not confidential. 
11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
ESQRS_ANNEX_FI