Aquaculture production by species (fish_aq)

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

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)
 



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1. Contact Top
1.1. Contact organisation

Statistics Estonia
1.2. Contact organisation unit

Economic and Environmental Statistics Department
1.5. Contact mail address

Tatarti 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 

Aquaculture production statistics as defined in Regulation (EC) 762/2008 contain four different datasets:
AQ2A - Aquaculture production volume at first sale for human consumption (excluding hatcheries and nurseries) by species, FAO Major Area, cultivation method and aquatic environment.
AQ2B - Production of fish eggs (roe) for human consumption at first sale by species, by FAO Major Area, cultivation method and aquatic environment.
AQ3 - Input to capture-based aquaculture, i.e. wild seed, by species.
AQ4 - Production of juveniles and fertilised eggs at first sale for further on-growing or release to the wild by species.
The production volume is measured in tonnes live weight (TLW) and economic value as unit price in national currency per tonne (NAC_T/TLW), with the exception of juveniles and fertilised eggs which are measured in numbers.
In addition, a fifth dataset (AQ5) provides information on the size (in hectares, 1000 cubic metres or metres) of aquaculture production facilities segmented by species group, FAO Major Area, cultivation method and aquatic environment.


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? No
If Yes, please answer all the following questions.
2.1.4 Name of the national legislation
2.1.5 Link to the national legislation
2.1.6 Responsible organisation for the national legislation
2.1.7 Year of entry into force of the national legislation
2.1.8 Please indicate which variables required under EU regulation are not covered by national legislation, if any.
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?


Additional comments to data description

There is no national legislation on aquaculture statistics. All respondents are required to submit in due to date and complete data under the §28 „Obligations of respondents and access to information“ in the Official Statistics Act. Link for the Official Statistics Act https://www.riigiteataja.ee/en/eli/506012015002/consolide.
2.2. Classification system

The following variables are recorded with regard to aquaculture production:
a) 'Species' means the species of aquatic organisms identified using the international 3-alpha code as defined by the FAO (ASFIS List of Species for Fishery Statistics Purposes). Individual species are grouped in aggregates according to their taxonomy and living habits. These aggregates are specified in the International Standard Statistical Classification of Aquatic Animals and Plants (ISSCAAP) and indicated in the ASFIS list.
b) 'FAO major areas' means the geographical areas as defined by the FAO (CWP Handbook of fishery statistical standards). The FAO major areas covered are: 27 'Northeast Atlantic', 37 'Mediterranean and Black Sea', 34 'Atlantic Eastern Central', 5 'European inland waters', 1 'African inland waters'.
c) 'Cultivation method' includes ponds, cages, tanks and raceways, enclosures and pens, recirculation systems, others and not specified. For molluscs also on-bottom and off-bottom systems.
d) 'Aquatic environment' distinguishes the water types fresh water and salt (sea and brackish) water.
The methods and water types are defined in Annex I of Regulation (EC) No 762/2008.
2.3. Coverage - sector

Off-farm commercial aquaculture production destined to human consumption
2.4. Statistical concepts and definitions

According to Regulation (EC) 762/2008, aquaculture production means the output from aquaculture at first sale. For animals, only production for human consumption is considered, while ornamental or functional species as well as feed production is excluded. By contrast, aquatic plants will be recorded notwithstanding their final use.
The production volume is expressed in tonnes live weight [TLW] of the product. This weight includes all shells and bones. Data for the economic value of the production are reported as unit price in national currency per tonne [NAC_T]. The production of hatcheries and nurseries is reported in numbers and expressed in millions. Data on the structure of the aquaculture sector are expressed in thousand cubic metres, hectares or, optionally, 'metres rope length' according to the method.
2.5. Statistical unit

Aquaculture production facility
2.6. Statistical population

All commercially active aquaculture production facilities within the national territory
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?

Not applicable
2.8. Coverage - Time

The first data collection was in 1992. Main changes were made in 2012 due do Regulation (EC) 762/2008.
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

1
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"

0
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

Fish and crayfish farming
3.1.8 Name of Organisation responsible

Statistics Estonia
3.1.9 Main scope

The survey includes all enterpries which main and secondary activity is aquaculture.
3.1.10 List used to build the frame

Registers and lists used for making total statistical population are: Statistical Business Register managed by Statistics Estonia; Register of fish farms managed by Fish Farming Association;
Registered and approved aquaculture production business managed by Agriculture and Food Board.
3.1.11 Any possible threshold values

Not applicable
3.1.12 Population size

56
3.1.13 Surveyed entity Enterprise
3.1.14 If Enterprise, please specify Any enterprise active in the aquaculture sector
3.1.15 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 
3.1.16 Name/Title
3.1.17 Name of Organisation responsible
3.1.18 Main scope
3.1.19 List used to build the frame
3.1.20 Any possible threshold values
3.1.21 Population size
3.1.22 Surveyed entity
3.1.23 If Enterprise, please specify
3.1.24 Sample size
3.1.25 Sampling basis
3.1.26 If Other, please specify
3.1.27 Type of sample design
3.1.28 If Other, please specify
3.1.29 If Stratified, number of strata
3.1.30 If Stratified, stratification criteria
3.1.31 If Other, please specify
3.1.32 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 
3.1.33 Name/Title
3.1.34 Name of Organisation responsible
3.1.35 Contact information (email and phone)
3.1.36 Main administrative scope
3.1.37 Geospatial Coverage
3.1.38 Update frequency
3.1.39 Legal basis
3.1.40 Are you able to access directly to the micro data?
3.1.41 Are you able to check the plausibility of the data, namely by contacting directly the units?
3.1.42 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?
3.1.43 Please list the main differences between the administrative source and the statistical definitions and concepts
3.1.44 Is a different threshold used in the administrative source and statistical data?
3.1.45 If Yes, please specify
3.1.46 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 
3.1.47 Name/Title
3.1.48 Primary purpose
3.1.49 Legal basis
3.1.50 Update frequency
3.1.51 Expert data supplier
3.1.52 If Other, please specify
3.1.53 How would you assess the quality of those data?
3.1.54 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 
3.1.55 Name/Title
3.1.56 Name of Organisation
3.1.57 Primary purpose
3.1.58 Data type
3.1.59 If Other, please specify
3.1.60 How would you assess the quality of those data?
3.1.61 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

Fish and crayfish farming
3.3.2 Methods of data collection Electronic questionnaire
Telephone interview
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)

The questionnaire is in Estonian and in English. Hyperlink for the questionnaire is as follows https://www.stat.ee/en/questionnaires?combine=Fish+and+crayfish+farming 2022
3.3.7 Additional comments

Data are collected through eSTAT (the web channel for electronic data submission). eSTAT is also used to monitor the completion of questionnaires. The questionnaires have been designed for completion in eSTAT by the respondents themselves and they include instructions and controls. The questionnaires and information about data submission are available on Statistics Estonia’s website at https://www.stat.ee/en/submit-data/about-data-submission.


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
3.3.16 Extraction date
3.3.17 How easy is it to get access to the data?
3.3.18 Data transfer method
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
Aggregates
Other
3.4.3 If Other, please specify

Unit price in market value range

Valid value
3.5. Data compilation
3.5.1 Describe the data compilation process

Data are stored in and processed automatically by the software VAIS (Survey Data Information System) developed by Statistics Estonia. There are various automatic controls set up in VAIS. The automatic controls are set up for excample for missing data, comparison of quantities in a relation with previous period and check ups for quantity and unit price values per 1 kg. When the error appeared the statistician from the Data Processing and Registers Department contacted enterprises via e-mail or telephone and after the data were corrected. The statistician from the Economic and Environmental Statistics Department also checked the completeness and accuracy of the dataset and the errors were clarified by Data Processing and Registers Department.All the totals and aggregates disseminated were compiled based on the data collected by the electronic survey “Fish and crayfish farming”.
3.5.2 Additional comments
3.6. Adjustment

Adjustments were not applied.

 


4. Quality management Top
4.1. Quality assurance
4.1.1 Is there a quality management system used in the organisation? No
4.1.2 If yes, how is it implemented?
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

In general to assure the quality of processes and products the EFQM Excellence Model, EU Statistics Code of Practice and the ESS Quality Assurance Framework (QAF) are applied. The general quality assurance is also guided by the requirements provided in § 7 „Principles and quality criteria of producing official statistics” of the Official Statistics Act. Link for the Official Statistics Act https://www.riigiteataja.ee/en/eli/ee/506012015002/consolide/current
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

As the data are collected in accordance with the Regulation (EC) 762/2008 the clarity of the aquaculture production statistics is considered very high.


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

Generally the Regulation 762/2008 meets the needs at national level but there is also a need for volume of fish and crayfish bred on a reporting year.
5.1.2 Please specify any plans to satisfy needs more completely in the future Restricted from publication
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

1996 Statistics Estonia conducts general reputation and user satisfaction surveys. All results are avaialbale on the websaite https://www.stat.ee/en/statistics-estonia/about-us/user-surveys. Special satisfaction survey on aquaculture production data have never been conducted. Statistics Estonia collects yearly proposals from the users for the statistics to be collected.
5.3. Completeness
5.3.1 AQ2A - Data completeness - rate

100%
5.3.2 AQ2B - Data completeness - rate

100%
5.3.3 AQ3 - Data completeness - rate

100%
5.3.4 AQ4 - Data completeness - rate

100%
5.3.5 AQ5 - Data completeness - rate

100%
5.3.6 If not complete, which characteristics are missing?
5.3.7 Additional comments

The data required under the Regulation (EC) 762/2008 are complete. In addition there is need for volume of fish and crayfish bred on a reporting year at national level. 


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? Measurement error
Non-response 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 If coefficients of variation are calculated, please describe the calculation methods and formulas
6.2.5 Sampling error - indicators

Please provide the coefficients of variation in the worksheet CV of the annexed Excel file
6.2.6 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

Fish and crayfih farming
Over-coverage 
6.3.1.2 Over-coverage - rate

Not available.
Under-coverage 
6.3.1.3 Does the sample frame include all units falling within the scope of this survey? Yes
6.3.1.4 If Not, which units are not included?
6.3.1.5 How large do you estimate the proportion of those units? (%)

0%
6.3.1.6 Impact on the data quality None
Misclassification 
6.3.1.7 Impact on the data quality Low
Common units 
6.3.1.8 Common units - proportion

Not applicable
6.3.1.9 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  
6.3.1.10 Name/Title
Over-coverage 
6.3.1.11 Over-coverage - rate

Not available.
Under-coverage 
6.3.1.12 Does the sample frame include all units falling within the scope of this survey?
6.3.1.13 If Not, which units are not included?
6.3.1.14 How large do you estimate the proportion of those units? (%)
6.3.1.15 Impact on the data quality
Misclassification 
6.3.1.16 Impact on the data quality
Common units 
6.3.1.17 Common units - proportion

Not available.
6.3.1.18 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 
6.3.1.19 Name/Title
Over-coverage 
6.3.1.20 Over-coverage - rate

Not available.
Under-coverage 
6.3.1.21 Does the administrative source include all units falling within the scope of this survey?
6.3.1.22 If Not, which units are not included?
6.3.1.23 How large do you estimate the proportion of those units? (%)
6.3.1.24 Impact on the data quality
Misclassification 
6.3.1.25 Impact on the data quality
6.3.1.26 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

Fish and crayfish farming
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?

11
6.3.2.4 Explanatory notes/handbook for surveyors/respondents?  Yes
6.3.2.5 On-line FAQ or Hot-line support for surveyors/respondents? Yes
6.3.2.6 Other actions taken for reducing the measurement error?

There is no other actions taken to reduce measurement error. 

In addition, instead of FAQ and Hot-Line support there is costumer support for respondents in the statistical office.
6.3.2.7 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 6.3 of the annexed Excel file 
6.3.2.8 Name/Title
6.3.2.9 Is the questionnaire based on usual concepts for respondents?
6.3.2.10 Number of surveys already performed with the current questionnaire?
6.3.2.11 Explanatory notes/handbook for surveyors/respondents? 
6.3.2.12 On-line FAQ or Hot-line support for surveyors/respondents?
6.3.2.13 Other actions taken for reducing the measurement error?
6.3.2.14 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

Fish and crayfish farming
6.3.3.2 Unit non-response - rate

0%
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 Follow-up interviews
Reminders
6.3.3.5 If Other, please specify
6.3.3.6 Item non-response rate

Not applicable for the reference year 2022
6.3.3.7 Item non-response rate - Minimum

Not applicable for the reference year 2022
6.3.3.8 Item non-response rate - Maximum

Not applicable for the reference year 2022
6.3.3.9 Which items had a high item non-response rate? 

Not applicable for the reference year 2022
6.3.3.10 Additional comments

Not applicable for the reference year 2022


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
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

Fish and crayfish farming
6.3.4.2 Imputation - rate

0%
6.3.4.3 Imputation - basis
6.3.4.4 If Other, please specify
6.3.4.5 Additional comments

Imputation was not applied for the reference year 2022. If the need for imputation occurs the same unit from previous data is used.


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

Not applicable.
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


7. Timeliness and punctuality Top
7.1. Timeliness
7.1.1 When were the first  results for the reference period published?

24.05.2023
7.1.2 When were the final results for the reference period published?

24.05.2023
7.1.3 Reasons for possible long production times?

Not applicable.
7.2. Punctuality
7.2.1 Were data released 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 release date of data and the target date

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

1992-2022
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

Definition of the aquaculture production (excluding hatcheries and nurseries) was changed in line with the Regulation 762/2008 in 2012.
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 statistics

The aquaculture production statisics for 2022 has been compared with fish restocking data managed by the Ministry of Environment.
8.3.2 Describe briefly the results of comparisons

The data of fish restocking reported in the questionnaire and fish restocking data managed by the Ministry of Environment were compliant. 
8.3.3 Additional comments
8.4. Coherence - sub annual and annual statistics

Not applicable.
8.5. Coherence - National Accounts

Not applicable.
8.6. Coherence - internal

Data are internally coherent.


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

Link for news releases is as follows https://www.stat.ee/en/calendar
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 available.
9.3.2 Is an on-line database accessible to users? Yes
9.3.3 Please provide a link

Link for the on-line database on aquaculture production statistics is as follows https://andmed.stat.ee/en/stat/majandus__kalandus/KA40

The users of the public database are not required to register themselves. The use of the public database is free of charge. Database is published in Estonian and English.
The public database allows:
• fast and easy access to statistics 24 hours a day;
• to receive besides the newest data also data for previous periods;
• to choose only the required data from tables;
• to view the selected data and save them in one’s own computer in different formats (Excel, PC-AXIS, HTML, etc.).
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

Optional
9.6. Documentation on methodology
9.6.1 Are national reference metadata files available? Yes
9.6.2 Please provide a link

http://www.stat.ee/esms-metadata?id=69466&code=20702
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

https://www.stat.ee/en/questionnaires/fish-and-crayfish-farming-2022-year
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? No
9.7.4 Please provide a link


10. Cost and Burden Top
10.1 Efficiency gains over the last 3 years 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

Data protection is guaranteed upon the dissemination of statistics. Data are desseminated or transmitted without characteristics enabling identification of data subject, data were at least of three data subjects (whereby the role of a enterprise's data in consolidated data shall not exceed 90%). Data subject is a natural or legal person whose data have been collected.

The main reasons for claiming data confidential are the share of aquaculture production is 90% or more of a total aquaculture production by species. Species are bred and produced by less than three enterprises.

 

 

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/data-protection-privacy-policy.

OFFICIAL STATISTICS ACT. § 35. Dissemination of confidential data.

A producer of official statistics may disseminate the following data concerning legal persons registered in the Republic of Estonia, branches of foreign commercial undertakings, state and local government agencies and sole proprietors which permit direct or indirect identification without the consent of the person:

1) registration code;

2) name and address;

3) legal status;

4) economic activity;

5) size group according to the number of persons employed;

6) size group according to turnover.
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

Data protection is guaranteed upon the dissemination of statistics. Data are disseminated or transmitted without characteristics enabling identification of data subject, data were at least of three data subjects (whereby the role of a enterprise's data in consolidated data shall not exceed 90%). Data subject is a natural or legal person whose data have been collected.

The main reasons for claiming data confidential are the share of aquaculture production is 90% or more of a total aquaculture production by species. Species are bred and produced by less than three enterprises.
11.2.2 Additional comments

Approach for publishing national Aquaculture statistics: Bottom-up

Procedures for ensuring confidentiality of disseminated data: Cell suppresion


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