Aquaculture production by species (fish_aq)

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

Compiling agency: DESTATIS (Statistisches Bundesamt)


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

DESTATIS (Statistisches Bundesamt)

1.2. Contact organisation unit

G 14

1.5. Contact mail address

Postfach 170377
53029 Bonn


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

Agrarstatistikgesetz (§ 68 a and § 68 b)

2.1.5 Link to the national legislation

https://www.gesetze-im-internet.de/agrstatg/BJNR004690989.html

2.1.6 Responsible organisation for the national legislation

BMEL (Federal Ministry of Food and Agriculture)

2.1.7 Year of entry into force of the national legislation

2011

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.

Share of organically produced amount.

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?

None.

2.8. Coverage - Time

The first data collection was organised in 2011.

Important changes to the collection were introduced in 2015.

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"

1

3.1.3 Total number of sources of the type "Sample Survey"

1

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

0

3.1.5 Total number of sources of the type "Experts"

1

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

Aquaculture production (census with cut-off threshold)

3.1.8 Name of Organisation responsible

DESTATIS (Statistisches Bundesamt)

3.1.9 Main scope

Annual aquaculture census on production data

3.1.10 List used to build the frame

Aquaculture production business register

3.1.11 Any possible threshold values

The size of aquaculture production (PON >= 0,3 ha and/or TNK >= 200 m3 and/or RES, CAG, ENC, ONB, OFB, OTH available)

3.1.12 Population size

5000

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

Aquaculture prices (sample)

3.1.17 Name of Organisation responsible

DESTATIS (Statistisches Bundesamt)

3.1.18 Main scope

Aquaculture prices

3.1.19 List used to build the frame

Subset of the aquaculture business register

3.1.20 Any possible threshold values

The size of aquaculture production (PON >= 0,3 ha and/or TNK >= 200 m3 and/or RES, CAG, ENC, ONB, OFB, OTH available)

3.1.21 Population size

5000

3.1.22 Surveyed entity Enterprise
3.1.23 If Enterprise, please specify Any enterprise active in the aquaculture sector
3.1.24 Sample size

500

3.1.25 Sampling basis Multiple frame
3.1.26 If Other, please specify
3.1.27 Type of sample design Stratified
3.1.28 If Other, please specify
3.1.29 If Stratified, number of strata

number of strata = 42

3.1.30 If Stratified, stratification criteria Unit size
Unit location
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

Experts

3.1.48 Primary purpose

Impute missing item prices

3.1.49 Legal basis
3.1.50 Update frequency Annual
3.1.51 Expert data supplier Statistical office
3.1.52 If Other, please specify
3.1.53 How would you assess the quality of those data? Medium
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 (every 3 years for the structure of the aquaculture sector)

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

Aquaculture production

3.3.2 Methods of data collection Postal questionnaire
Electronic questionnaire
3.3.3 If Other, please specify
3.3.4 If face-to-face or telephone interview, which method is used?
3.3.5 Data entry method, if paper questionnaires? Manual
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)

https://www.destatis.de/DE/Methoden/Qualitaet/Qualitaetsberichte/Land-Forstwirtschaft-Fischerei/aquakulturbetriebe.pdf?__blob=publicationFile

3.3.7 Additional comments

Production of eggs for human consumption (roe and caviar) as reported in dataset FISH_AQ2B_A includes only eggs, that are produced in aquaculture businesses. Especially concerning the production of caviar, live sturgeons are often sold for slaughtering elsewhere.


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

Aquaculture prices

3.3.9 Methods of data collection Postal questionnaire
Electronic questionnaire
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? Manual
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)

Not available.

3.3.14 Additional comments

Production of eggs for human consumption (roe and caviar) as reported in dataset FISH_AQ2B_A includes only eggs, that are produced in aquaculture businesses. Especially concerning the production of caviar, live sturgeons are often sold for slaughtering elsewhere.


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

Experts of the mathematical division in the national statistical office

3.3.21 Methods of data collection

Impute missing item prices

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
Consistency
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

Programmed java tool for data collection and processing that is used by the Lander. Use of two other programmed java tools for further processing (aggregation, ensuring confidentiality and tabulation). Whole process takes about 5 to 6 months for production volumes and 3 to 4 months are needed to calculate production values (prices) with the help of analytical software SAS. Processes for production volumes and values run simultaneously.

3.5.2 Additional comments
3.6. Adjustment

Not available.


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?

standardized processes, data validation, plausibility checks, cross-validation with other datasets

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? Improve data validation
Other
4.1.6 If Other, please specify

optimizing of questionnaires, permanent improvement of plausibility checks

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

Very good regional comparability concerning results of German Lander. Regional comparabiltiy of national results and results of other member states is ensured because of the integration into the statistical system of the EU, but there are differences in the methodology used by member states (e.g. survey dates and survey population).

Temporal comparability of the results is limited due to cut-off thresholds introduced in the survey for reference year 2015.


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
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


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? Sampling 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

Aquaculture prices

6.2.2 Methods used to assess the sampling error Relative standard error
6.2.3 If Other, please specify
6.2.4 If coefficients of variation are calculated, please describe the calculation methods and formulas

None

6.2.5 Sampling error - indicators

Finfish production CV=5.58%
Production of fish eggs for human consumption CV=8.69%
Input to capture-based aquaculture CV=1.30%

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

Aquaculture production

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 None
Misclassification 
6.3.1.7 Impact on the data quality None
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

Aquaculture prices

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? Yes
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 None
Misclassification 
6.3.1.16 Impact on the data quality None
Common units 
6.3.1.17 Common units - proportion

Not applicable

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

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?

every census since the beginning in 2011 (only opening question on frontpage was changed slightly in 2015)

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?

none

6.3.2.7 Additional comments

none


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

Aquaculture prices

6.3.2.9 Is the questionnaire based on usual concepts for respondents? Yes
6.3.2.10 Number of surveys already performed with the current questionnaire?

every survey since the beginning in 2011 (only opening question on frontpage was changed slightly in 2015)

6.3.2.11 Explanatory notes/handbook for surveyors/respondents?  Yes
6.3.2.12 On-line FAQ or Hot-line support for surveyors/respondents? Yes
6.3.2.13 Other actions taken for reducing the measurement error?

none

6.3.2.14 Additional comments

none

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

Aquaculture production

6.3.3.2 Unit non-response - rate

1%

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

Not available.

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

Aquaculture prices

6.3.3.12 Unit non-response - rate

1%

6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context? Low
6.3.3.14 Measures taken for minimising the unit non-response Follow-up interviews
Reminders
Legal actions
Imputation
6.3.3.15 If Other, please specify
6.3.3.16 Item non-response rate

Not available.

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

Aquaculture production

6.3.4.2 Imputation - rate

None

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


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 
6.3.4.6 Name/Title

Aquaculture prices

6.3.4.7 Imputation - rate

Aquaculture production 3.77%
Production of fish eggs for human consumption 0.0%
Input to capture-based aquaculture 84.62%

6.3.4.8 Imputation - basis Similar units
Same unit in previous data
6.3.4.9 If Other, please specify
6.3.4.10 How do you evaluate the impact of imputation on Coefficients of Variation? Important
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? 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?

June 2022

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

June 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


8. Coherence and comparability Top
8.1. Comparability - geographical

To be assessed by Eurostat.

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

8.2. Comparability - over time
8.2.1 Length of comparable time series

from 2015

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

Introduction of aquaculture statistic beginning with reference year 2011. Data before 2011 have been rough estimates (with not defined estimation method).

8.2.4 Additional comments

Temporal comparability of the results is limited due to cut-off thresholds introduced in the survey for reference year 2015.

8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared?

Not applicable.

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

Optional


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.destatis.de/DE/Themen/Branchen-Unternehmen/Landwirtschaft-Forstwirtschaft-Fischerei/Fischerei/_inhalt.html

https://www.destatis.de/EN/Themes/Economic-Sectors-Enterprises/Agriculture-Forestry-Fisheries/Fisheries/_node.html

9.2. Dissemination format - Publications
9.2.1. Do you produce a paper publication? Yes
9.2.2 If Yes, is there an English version? No
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.destatis.de/DE/Themen/Branchen-Unternehmen/Landwirtschaft-Forstwirtschaft-Fischerei/Fischerei/_inhalt.html

https://www.destatis.de/EN/Themes/Economic-Sectors-Enterprises/Agriculture-Forestry-Fisheries/Fisheries/_node.html

 

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-genesis.destatis.de/genesis/online?sequenz=statistikTabellen&selectionname=41362

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

Not applicable.

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

https://www.destatis.de/DE/Themen/Branchen-Unternehmen/Landwirtschaft-Forstwirtschaft-Fischerei/Fischerei/_inhalt.html

9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link

https://www.destatis.de/DE/Themen/Branchen-Unternehmen/Landwirtschaft-Forstwirtschaft-Fischerei/Fischerei/_inhalt.html

9.6.5 Is a handbook available? Yes
9.6.6 Please provide a link

https://www.destatis.de/DE/Themen/Branchen-Unternehmen/Landwirtschaft-Forstwirtschaft-Fischerei/Fischerei/_inhalt.html

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.destatis.de/DE/Themen/Branchen-Unternehmen/Landwirtschaft-Forstwirtschaft-Fischerei/Fischerei/_inhalt.html


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

yearly execution of the survey (repetition)

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

Refer to § 16 Bundesstatistikgesetz in genaral for all statistics in Germany ("confidentiality").

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

Calculation of primary confidentiality using p%-rule, manual secondary confidentiality to prevent disclosure of primary confidentiality.

11.2.2 Additional comments

Approach for publishing national Aquaculture statistics: Top-down

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


12. Comment Top


Related metadata Top


Annexes Top
ESQRS_ANNEX_DE