Aquaculture production by species (fish_aq)

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

Compiling agency: Statistics Austria


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 Austria
1.2. Contact organisation unit

Directorate Spatial Statistics, Consumer Health Information System
1.5. Contact mail address

Guglgasse 13, 1110 Wien


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

Verordnung des Bundesministers für Land- und Forstwirtschaft, Umwelt und Wasserwirtschaft betreffend die Statistik über die Aquakulturproduktion 2012
2.1.5 Link to the national legislation

https://www.ris.bka.gv.at/Dokumente/BgblAuth/BGBLA_2012_II_344/BGBLA_2012_II_344.pdf
2.1.6 Responsible organisation for the national legislation

Federal Ministry of Agriculture, Forestry, Regions and Water Management
2.1.7 Year of entry into force of the national legislation

2012
2.1.8 Please indicate which variables required under EU regulation are not covered by national legislation, if any.

All data relevant in Austria (data concerning Annex II, Annex IV and Annex V of regulation 762/2008) are covered by the national regulation. Annex III of 762/2008 is not covered by the national regulation.
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

All data relevant for Austria (data concerning the tables FISH_AQ2A_A food fish production; FISH_AQ4_A production in nurseries and hatcheries; FISH_AQ5_A3 structure of the aquaculture sector) are covered by the national regulation.
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 enterprise
2.6. Statistical population

All commercially active aquaculture production enterprises 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

Since regulation 762/2008 entered into force (reference calendar year 2011) the annual results are available online via our statistical database. There is no expiration date.

 
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

Survey on aquaculture production
3.1.8 Name of Organisation responsible

Statistics Austria

 
3.1.9 Main scope

Registration in the consumer health information system (former veterinary information system) or the farm register.

 
3.1.10 List used to build the frame

The source data (name and address) for the annual survey originate from the consumer health information system. Statistical entities which are registered with aquaculture in the consumer health information system get the annual questionnaire about aquaculture production. If they keep fish only for self-supply, they will no longer be bothered with the questionnaire. If the statistical entities sell fish, they have to participate in the annual survey.
3.1.11 Any possible threshold values

There is no threshold. If the statistical entity sells fish, it is obliged to answer the questionnaire regardless of whether aquaculture is the main activity or not.

 
3.1.12 Population size

In 2022 ca. 770 fish farms (enterprises) were surveyed, about 74% of them produced and sold fish and/or fish eggs.
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

Survey on aquaculture production
3.3.2 Methods of data collection Postal questionnaire
Electronic questionnaire
Other
3.3.3 If Other, please specify

Fax or Telephone
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)

https://www.statistik.at/en/about-us/surveys/agriculture-and-forestry/aquaculture-survey

See annexed file
3.3.7 Additional comments

Within the survey respondents may write down why they couldn't reach their usual production level. This question is part of the annual survey and all answers were stored in our aquaculture production database.

There are the annual problems with predators like otters, herons, cormorants etc. or troubles with the water supply (flooding or dryness, water temperature, amount of oxygen) and all its consequences (cost increases, production decreases, structural alterations, rebuilding etc.).

For some enterprises “juveniles in million pieces” is very hard to quantify. They are used to sell juveniles in kg. It doesn’t matter if one kg includes three, ten or more pieces. The calculation is made in kg - they do not count every piece.

For some enterprises the units of measurement for the production unit types cause some problems. In their opinion the importance lies rather in the amount of freshwater supply (litre per second) than the size (m³) of tanks and raceways etc. There are changes during the year concerning water level and number of tanks etc. Especially with “natural ponds” it’s sometimes hard to get “the real size” of the pond. It depends on climatic circumstances and seasons, which lead to different peak-levels in course of time - and so to different sizes at last. In Austria recirculation systems are indoor systems which are normally measured in m³ and not ha. Although the transmission table allowed entering the size of recirculation systems in thousand cubic metres, the measurement units in our questionnaire refer to regulation 762/2008. Therefore, we collected data on the size of recirculation systems in ha.


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


Annexes:
AT aquaculture 2022 postal questionnaire
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
Consistency
Other
3.4.3 If Other, please specify

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

All questionnaires received by mail, fax, telephone or e-mail are entered manually into the electronic questionnaire system “eQuest”. If an enterprise is not responding to our contact approaches we sometimes use previous data from the same enterprise. Normally only a few enterprises cannot be reached by mail, telephone or e-mail.

A production volume (food fish) for which no unit value is available is assigned the weighted average of the volume/unit value pairings completely available for the relevant species of fish.

If enterprises report more than one production unit type (aqua method) per fish species, we split the total production volume of the mixed methods (e.g. ponds + tanks) in the ratio of the total volumes of the two exclusively reported methods per fish species.

Missing structure-related items are imputed from previous data transmissions of the same enterprise. In some cases, respondents ignore the required measurement units and some adjustments have to be done (convert volume of eggs given in liters into pieces, volume of juveniles given in kg into pieces etc.).
3.5.2 Additional comments
3.6. Adjustment

No adjustments.

 


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?

Standard documentation, feedback discussions, quality audits
4.1.3 Has a peer review been carried out? Yes
4.1.4 If Yes, which were the main conclusions?

In cooperation with the Statistic Committee’s Quality Assurance Committee, feedback meetings on the quality of the various statistical products on the basis of the standard documentation are held regularly within the framework of Statistics Austria’s quality management programme. A feedback meeting on aquaculture production took place in 2015. No improvements necessary at the moment, high satisfaction ratio from users.
4.1.5 What quality improvements are foreseen? Other
4.1.6 If Other, please specify

Quality improvement is one of the aspects of the strategy 2020. Small improvements are done all over the year.
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 further requirements due to the user survey.

 
5.1.2 Please specify any plans to satisfy needs more completely in the future
5.1.3 Additional comments
5.2. Relevance - User Satisfaction
5.2.1 Has a user satisfaction survey been conducted? Yes
If Yes, please answer all the following questions
5.2.2 Year of the user satisfaction survey

2017
5.2.3 How satisfied were the users? Satisfied
5.2.4 Additional comments

In autumn 2017 Statistics Austria conducted a user satisfaction survey. 108 experts participated in this survey on a voluntary basis and answered via a web based questionnaire. On the one hand the survey covered institutional aspects of general importance. On the other hand users had the possibility to evaluate important quality aspects such as frequency and modes of data usage, as well as the relevance and the general quality of the used data.

The census on aquaculture production was not part of the satisfactory survey itself, but other related agricultural statistics, which contain results of the survey as a base for further processing (e.g. Supply balance sheets). User consultation/contact specifically related to aquaculture production is mainly ensured by meetings/conversations with users inside and outside the statistical system.
5.3. Completeness
5.3.1 AQ2A - Data completeness - rate

93%

 
5.3.2 AQ2B - Data completeness - rate

Not available.

 
5.3.3 AQ3 - Data completeness - rate

Not available.

 
5.3.4 AQ4 - Data completeness - rate

100%
5.3.5 AQ5 - Data completeness - rate

Not available.

 
5.3.6 If not complete, which characteristics are missing?

A production volume (food fish) for which no unit value is available is assigned the weighted average of the volume/unit value pairings completely available for the relevant species of fish.

Missing structure-related items are imputed from previous data transmissions of the same enterprise.
5.3.7 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? 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

Survey on aquaculture production
Over-coverage 
6.3.1.2 Over-coverage - rate

For calendar year 2022 ca. 26%.
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
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

Survey on aquaculture production

 
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?

Twelve surveys, with small changes every year (wording, formatting, list of fish species pre-printed on the questionnaire, explanatory notes, electronic questionnaire system “eQuest”, etc.).
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?

If there are discrepancies in the reported data we try to contact the respondent.

 
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

Survey on aquaculture production

 
6.3.3.2 Unit non-response - rate

1.4%
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
Legal actions
Imputation
6.3.3.5 If Other, please specify
6.3.3.6 Item non-response rate

5.2%
6.3.3.7 Item non-response rate - Minimum

0%
6.3.3.8 Item non-response rate - Maximum

5.2%
6.3.3.9 Which items had a high item non-response rate? 

Price per fish species

 
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
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

Survey on aquaculture production

 
6.3.4.2 Imputation - rate

0.3% of the units have been imputed in 2022.
6.3.4.3 Imputation - basis Same unit in previous data
6.3.4.4 If Other, please specify
6.3.4.5 Additional comments

If we get no data from an enterprise and all contact attempts fail, we impute data from the same unit of the previous year.


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

There have not been any data revisions.
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?
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

There have not been any data revisions.

 


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

Twelve months after the reference period (12/2023).
7.1.2 When were the final results for the reference period published?

Twelve months after the reference period (12/2023).
7.1.3 Reasons for possible long production times?

Due to other data collection obligations during the rest of the year the survey usually starts in September and ends in December after the reference calendar year.
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

Since regulation 762/2008 entered into force (reference calendar year 2011).
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

Since 2017 catfish (FSI) are surveyed separately as European (SOM) and African catfish (CLZ). Since 2020 crustaceans are part of the annual survey.
8.2.4 Additional comments

Due to regulation 762/2008 only the quantity of food fish production is comparable over time (1996 to 2020). All other data did not exist before 2011.
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared?

There is no other data source to compare with.
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.statistik.at/fileadmin/announcement/2023/12/20231220Aquakulturproduktion2022EN.pdf
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? Yes
9.2.5 Please provide a link

https://www.statistik.at/en/services/tools/services/publikationen

Statistical Yearbook of Austria

Statistische Nachrichten

Statistik im Fokus
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.statistik.at/en/statistics/agriculture-and-forestry/animals-animal-production/aquaculture

https://www.statistik.at/en/databases/statcube-statistical-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

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.statistik.at/statistiken/land-und-forstwirtschaft/tiere-tierische-erzeugung/aquakulturen

https://www.statistik.at/en/statistics/agriculture-and-forestry/animals-animal-production/aquaculture
9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link

https://www.statistik.at/statistiken/land-und-forstwirtschaft/tiere-tierische-erzeugung/aquakulturen

https://www.statistik.at/en/statistics/agriculture-and-forestry/animals-animal-production/aquaculture
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

https://www.statistik.at/statistiken/land-und-forstwirtschaft/tiere-tierische-erzeugung/aquakulturen

https://www.statistik.at/en/statistics/agriculture-and-forestry/animals-animal-production/aquaculture


10. Cost and Burden Top
10.1 Efficiency gains over the last 3 years Other
10.2 If Other, please specify

Uniform questionnaire over the years and continuous improvement of the register.
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 is confidential:

-If it is based on three or less enterprises.

-If confidential data can be calculated from non-confidential aggregates.
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

If data is based on three or less enterprises we apply measures to ensure confidentiality, e.g. sum up several fish species to a higher species group level. If aggregation does not work, the single fish species remain confidential.

On national level we only publish data on the volume of the main fish species. The volumes of all other fish species are summed up to the group “other fish species”. If a particular fish species is reported by fewer than four enterprises in one year, the volume of that single fish species will not be published, but added to the sum of the group “other fish species”.
11.2.2 Additional comments

Approach for publishing national Aquaculture statistics: Top-down

Procedures for ensuring confidentiality of disseminated data: Aggregation


12. Comment Top


Related metadata Top


Annexes Top
ESQRS_ANNEX_AT