Aquaculture production by species (fish_aq)

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

Compiling agency: The Directorate of Fisheries


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

The Directorate of Fisheries
1.2. Contact organisation unit

Section of statistics
1.5. Contact mail address

merete.fauske@fiskerdir.no


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? Yes
If Yes, please answer all the following questions.
2.1.4 Name of the national legislation

Act of 17 June 2005 no. 70 relating to aquaculture (Aquaculture Act)
2.1.5 Link to the national legislation

http://www.fiskeridir.no/English/Aquaculture/Aquaculture-Act 

https://lovdata.no/dokument/NL/lov/2005-06-17-79?q=akvakulturloven

 
2.1.6 Responsible organisation for the national legislation

Ministry of Trade, Industry and Fisheries
2.1.7 Year of entry into force of the national legislation

2006
2.1.8 Please indicate which variables required under EU regulation are not covered by national legislation, if any.

None
2.1.9 Please indicate which national definitions differ from those in the EU regulation, if any.

None
2.1.10 Is there a legal obligation for respondents to reply? Yes


Additional comments to data description
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

1994-
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

3
The breakdown is as follows:
3.1.2 Total number of sources of the type "Census"

2
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

Statistikk for akvakultur
3.1.8 Name of Organisation responsible

The Directorate of Fisheries
3.1.9 Main scope

The survey start with a letter to all holders of an aquaculture licenses where a link to electronic questionnaire are given.
3.1.10 List used to build the frame

Administrative register give us the number of licensed, production type, name and address
3.1.11 Any possible threshold values

None
3.1.12 Population size

730
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

Census. Include all holders of a aquaculture licenses


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

Aquaculture Production Business Register
3.1.34 Name of Organisation responsible

The Directorate of Fisheries
3.1.35 Contact information (email and phone) Restricted from publication
3.1.36 Main administrative scope
3.1.37 Geospatial Coverage National
Regional
3.1.38 Update frequency Continuous
3.1.39 Legal basis

Act of 17 June 2005 no. 79 relating to aquaculture (Aquaculture Act)
3.1.40 Are you able to access directly to the micro data? Yes
3.1.41 Are you able to check the plausibility of the data, namely by contacting directly the units? No
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? Very good
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? Yes
3.1.45 If Yes, please specify

The Administrative register are by licences or by sites. The statistics are by company which is a level up from the Administrative register.
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

Statistikk for akvakultur
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? Manual
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)

All our questionnaire are annexed (the paper version). Same questions in the electronic version https://www.fiskeridir.no/Akvakultur/Registre-og-skjema/Skjema/Statistikk-for-akvakultur
3.3.7 Additional comments

We allow paper questionnaire if the producer prefer this, but for 2022 these paper questionnaire was not in use


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

Aquaculture Production Business Register
3.3.16 Extraction date

31. December 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 the database
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:
Questionnaire for production of Algae
Questionnaire for production of other fish species than salmon and trout (grow out production)
Questionnaire for production of other fish species than salmon and trout (hatcheries)
Questionnaire for production of Atlantic salmon, rainbow trout and trout (grow out production)
Questionnaire for production of Atlantic salmon, rainbow trout and trout (hatcheries)
Questionnare for production of Molluscs, crustaceans and echinoderms
3.4. Data validation
3.4.1 Which kind of data validation measures are in place? Automatic
3.4.2 What do they target? Completeness
Outliers
Aggregates
Other
3.4.3 If Other, please specify

Valid value
Unit price in market value range
Relational checks between characteristics (e.g. species - method combination)
3.5. Data compilation
3.5.1 Describe the data compilation process

We used electronic questionnaire for the first time in the 2018 survey. The survey started with a letter to holders of aquaculture licenses. In this letter they received a link to the questionnaire. 
3.5.2 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?

At a detailed level our quality system is good, and a TQM-system is being prepared
4.1.3 Has a peer review been carried out? Yes
4.1.4 If Yes, which were the main conclusions?

We need a TQM-system
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

None
5.1.2 Please specify any plans to satisfy needs more completely in the future

None
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

We have close contact with the fish farmers organizations. New information are collected when requested by the users. More formal user contact is something we will try to improve in the future.
5.3. Completeness
5.3.1 AQ2A - Data completeness - rate

100 %
5.3.2 AQ2B - Data completeness - rate

0 %
5.3.3 AQ3 - Data completeness - rate

0 %
5.3.4 AQ4 - Data completeness - rate

100 %
5.3.5 AQ5 - Data completeness - rate

90 %
5.3.6 If not complete, which characteristics are missing?

Regarding AQ2B and AQ3. Norway have not this type of aquaculture production
5.3.7 Additional comments

Regarding FISH_AQ5_A3. We have only information from aquaculture production in sea water, which includes more than 90 per cent of the total aquaculture production


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? 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

Statistikk for akvakultur
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? (%)
6.3.1.6 Impact on the data quality Low
Misclassification 
6.3.1.7 Impact on the data quality Low
Common units 
6.3.1.8 Common units - proportion

Not available.
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

Aquaculture Production Business Register
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? Yes
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

Statistikk for akvakultur
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?

20
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? No
6.3.2.6 Other actions taken for reducing the measurement error?

We use several automatically checks for find logical errors. For example average weight on slaughtered salmon can not be higher than 10 kg without an explanation
6.3.2.7 Additional comments

Regarding 6.3.2.3.

We use several questionnaires, one for each species group. The questionnaires have been the same since 2002. However the questionnaire for Atlantic salmon, rainbow trout and trout (grow out production) was expanded with more quetions from the year 2015. In 2015 we also started to collect information from Algae. The questionnaire for Algae have been the same since 2015. 


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

Statistikk for akvakultur
6.3.3.2 Unit non-response - rate

7,9 %
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context? Low
6.3.3.4 Measures taken for minimising the unit non-response Reminders
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

Item none-response rate are not available


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

Statistikk for akvakultur
6.3.4.2 Imputation - rate

4.4 %
6.3.4.3 Imputation - basis Similar units
Same unit in previous data
Other sources
6.3.4.4 If Other, please specify

Biomass Register. Information from our Biomass Register are used where information about production, live stock etc. are missing. Values are calculated based on average prices. Employment are calculated based on information from the same unit in previous year.
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?
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?

Preliminary figures was presented in May 2023 (25.05.2023)
7.1.2 When were the final results for the reference period published?

October 2023 (12.10.2022)
7.1.3 Reasons for possible long production times?
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 day


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

1973-2021
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

We started the collecting of data from Norwegian fish farmers of Atlantic salmon and rainbow trout in 1973. In 1989 we also started to collect data from producers of other fish species, and from producers of molluscs, crustaceans and echinoderms. In 2015 we started to collect data from producers of Algae. Over time the questionnaire have been developed and expanded to contain more information from the producers, especially from the producers of salmon and trout.

The Directorate of Fisheries has only data available electronic for the period 1994-2020. Statistics Norway has data available for the whole period. 

In 2012 we changed conversion factor. Quantity has been recomputed for earlier years with this new factor
8.2.4 Additional comments

For 1991 we miss information about sales values. This due to bankruptcy in the national sales organisation. The values for 1991 have therefore been imputed.
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared?

None
8.3.2 Describe briefly the results of comparisons
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


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

https://www.fiskeridir.no/Akvakultur/Nyheter/2023/rekordhoye-salgsinntekter-i-oppdrettsnaeringen-i-2022
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? No
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

not availabale
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

 https://www.fiskeridir.no/Tall-og-analyse/Statistikkbanken
9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? Yes
9.4.2 Please provide a link

Microdata access are given to researchers. How to get this access are given at: https://www.fiskeridir.no/Tall-og-analyse/Data-til-forskning
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

 https://www.fiskeridir.no/Akvakultur/Tall-og-analyse/Akvakulturstatistikk-tidsserier
9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link

https://www.fiskeridir.no/Akvakultur/Tall-og-analyse/Akvakulturstatistikk-tidsserier
9.6.5 Is a handbook available? Yes
9.6.6 Please provide a link

https://www.fiskeridir.no/Akvakultur/Tall-og-analyse/Akvakulturstatistikk-tidsserier
9.7. Quality management - documentation
9.7.1 Metadata completeness - rate

87.7 %
9.7.2 Metadata - consultations

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

https://www.fiskeridir.no/Akvakultur/Tall-og-analyse/Akvakulturstatistikk-tidsserier


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? 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
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

Approach for publishing national Aquaculture statistics: Top-down

Procedures for ensuring confidentiality of disseminated data: Cell suppresion, Aggregation
11.2.2 Additional comments

Act relating to official statistics and Statistics Norway [The Statistics Act] and the Aquaculture Act ensure confidentiality during dissemination.


12. Comment Top

Three sources are used. The first one is the Administrative source (licences, name, adresse etc.). The second one is data collected on monthly basis in the Biomass Register (biomass, number of living fish etc.). The third one is data collect by a electronic questionnaire. 

 

With regards to the section 8.2.1, the Directorate of Fisheries have collected these data since 1973. However in the period 1973-1993 data was registred by Statistics Norway. From 1994 the Directorate of Fisheries have registed the data it self. The collection of aquaculture data was a cooperation between Statistics Norway and the Directorate of Fisheries. From 2020, the total responsiblity has been transferred to the Directorate of Fisheries from Statistics Norway.  


Related metadata Top


Annexes Top
ESQRS_ANNEX_NO