Aquaculture production by species (fish_aq)

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

Compiling agency: Hellenic Statistical Authority (ELSTAT)


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

Hellenic Statistical Authority (ELSTAT)

1.2. Contact organisation unit

 Agriculture, Livestock, Fishery and Environment Statistics Division / Agriculture, Livestock and Fisheries Statistics Section

1.5. Contact mail address

Pireos 46 & Eponiton  Str. 18510  - Piraeus


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? 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 (all uses for aquatic plants).

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 production facilities of aquatic animals or plants

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?

Mount Athos area is excluded

2.8. Coverage - Time

2011 - 2022

2.9. Base period

Not applicable.


3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used

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

Annual Survey On Aquaculture

3.1.8 Name of Organisation responsible

ELSTAT

3.1.9 Main scope

The main scope of the survey covers:

1. aquaculture facilities,

2. fish, crustaceans, molluscs, fish eggs and aquatic plants and algae aquaculture production and corresponding value,

3. aquaculture production of hatcheries and nurseries

4. employment on aquaculture facilities

3.1.10 List used to build the frame

The survey covers all aquaculture units operating in Greece according to Aquaculture Registry which is updated annually

3.1.11 Any possible threshold values

All aquaculture facilities are counted

3.1.12 Population size

1077 Aquaculture units

3.1.13 Surveyed entity Production facitlity
3.1.14 If Enterprise, please specify
3.1.15 Additional comments

The Aquaculture Survey is a cencus statistical survey, 


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

Annual Survey On Aquaculture

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? Electronic questionnaire
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)

See attached file

3.3.7 Additional comments


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 3.3 of the annexed Excel file 
3.3.8 Name/Title
3.3.9 Methods of data collection
3.3.10 If Other, please specify
3.3.11 If face-to-face or telephone interview, which method is used?
3.3.12 Data entry method, if paper questionnaires?
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.14 Additional comments


Administrative source

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 3.3 of the annexed Excel file 
3.3.15 Name/Title
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:
EL_ANNUAL AQUACULTURE SURVEY QUESTONNAIRE
EL_ANNUAL AQUACULTURE SURVEY QUESTONNAIRE
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
Data flagging
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

After the completion of quality and logical controls, the data are compiled via the Integrated Operational System of ELSTAT, under certain validation rules.

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?

ELSTAT aims at the assurance and continuous improvement of the quality of the produced statistics and the maintenance of the user’s trust towards these statistics. Achievement of these goals, as described in the Quality Policy of ELSTAT, is sought through the following principle directions:

1. Safeguard and substantiate the operational independence of ELSTAT

2. Produce timely and relevant statistics using scientifically sound methods

3. Establish and maintain users’ trust in the reliability of the statistics

4. Safeguard the trust of the statistical units who provide their confidential information for the production of the statistics.

The Quality Policy followed by EL.STAT. is available at:http://www.statistics.gr/documents/20181/2571f853-1e37-46da-9387-595bbe2a162b

The survey on Aquaculture is based on Eurostat’s standards concerning the design of the questionnaire, the frequency of the survey and the type of the collected data. The collected questionnaires undergo completeness and quality checks as regards the information they contain. The final tables to be transmitted to Eurostat are both checked by ELSTAT and Eurostat.

Quality is ensured through the training of the managers of the aquaculture unit that participate in the survey by means of written instructions that are sent to them and by means of continuous telephone communication in case any problem arises or for any clarification they might need. Moreover, questionnaires collected from the enterprises are checked carefully before their further processing. Furthermore, checks are also conducted on the tabulated data.ELSTAT aims at the assurance and continuous improvement of the quality of the produced statistics and the maintenance of the user’s trust towards these statistics. Achievement of these goals, as described in the Quality Policy of ELSTAT, is sought through the following principle directions:

4.1.3 Has a peer review been carried out? No
4.1.4 If Yes, which were the main conclusions?
4.1.5 What quality improvements are foreseen?
4.1.6 If Other, please specify
4.1.7 Additional comments
4.2. Quality management - assessment

Development since the last quality report

4.2.1 Overall quality Improvement
4.2.2 Relevance Improvement
4.2.3 Accuracy and reliability Improvement
4.2.4 Timeliness and punctuality Stable
4.2.5 Comparability Improvement
4.2.6 Coherence Improvement
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

User needs may in particular circumstances not be met because accesibility on certain data (e.g micro data) lies unter the reservation of  statistical confidentiality. Nevertheless all user requests that may lie under the reservations of confidentiality, are examined thoroughly by the Statistical Confidentiality Commitee (SCC) operating in ELSTAT and are usually satisfied.

5.1.2 Please specify any plans to satisfy needs more completely in the future

In order to improve user need satisfaction, the Agriculture, Livestock, Fisheries and Environment Statistics Division of ELSTAT is implementing the aggregate and groupings method when relative user requests come across confidentiality issues.

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

The AQ3 data set on catches from wild for on-growing in aquaculture plants may is not collected, as this practice is not implemented by aquaculture units in Greece

5.3.4 AQ4 - Data completeness - rate

100%

5.3.5 AQ5 - Data completeness - rate

The AQ5 data set is not due for 2022.

5.3.6 If not complete, which characteristics are missing?

For the table AQ3 data on capture-based aquaculture are not available for Greece

The table AQ5 is posted every three years and is not due for 2022.

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? 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

Annual Survey on Aquaculture

Over-coverage 
6.3.1.2 Over-coverage - rate

0%

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 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
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

Annual Survey on Aquaculture

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?

12

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?
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

Annual Survey on Aquaculture

6.3.3.2 Unit non-response - rate

2.0%. All neccessary measures (contacts, providing onformation on the legal requirements) are taken in a timely manner in order to obtain the questionnaires from aquaculture units that do not respond in the relevant deadlines.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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

Not available

6.3.3.8 Item non-response rate - Maximum

Not available

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

Questionnaire completion time

6.3.3.10 Additional comments

Some aquaculture enterprizes do not consider the provision of the relevant data to ELSTAT as important, as they practically do not suffer any legal consequences for non compliance. The provision of data is mainly based on trust and good relations.


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

Annual Survey on Aquaculture

6.3.4.2 Imputation - rate

2.0%

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


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

The revision policy of the Hellenic Statistical Authority (ELSTAT) defines standard rules and principles for data revisions, in accordance with the European Statistics Code of Practice and the principles for a common revision policy for European Statistics contained in the Annex of the European Statistical System (ESS) guidelines on revision policy. The revision policy of ELSTAT is available at http://www.statistics.gr/en/policies

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?

12 months after the end of the reference year

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

24 months after the end of the reference year

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

Data on aquaculture in Greece exist since 1995 

8.2.2 Have there been major breaks in the time series? No
8.2.3 If Yes, please specify the year of break and the reason
8.2.4 Additional comments
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared?

To the end of establishing cross domain comparability (registry, quantities, value), channels of communication with the General Directorate of Sustainable Fisheries of the Hellenic Ministry of Agricultural Development and Food, as well as other regional authorities has been established.

8.3.2 Describe briefly the results of comparisons

Generally, the results of the relative aquaculture data comparisons between the two auhoritites, show a high degree of coherence

8.3.3 Additional comments
8.4. Coherence - sub annual and annual statistics

Not applicable.

8.5. Coherence - National Accounts

The Division of National Accounts of ELSTAT is a user of the relevant results of the Survey on Aquaculture

8.6. Coherence - internal

Data of Survey on Aquaculture present the maximum level of internal consistency within a given data set which is based on relevant checks.


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

The release calendar fully meets legal requirements concerning the deadlines for the release of data by:

•  meeting the legal and contract requirements concerning the deadlines for the transmission of the survey results,

•  ensuring the longest possible time for data checking,

•  ensuring additional time in case it is needed.

Regarding the contractual obligations of transmitting the results of the Aquaculture Survey to the European Institutions, Member States are oblige to transmit the relevant results, 12 months after the end of the reference year to the competent authorities of Eurostat, in compliance with the Regulation (EC) 762/2008 Regulation (EC) of the European Parliament and of the Council of 9 July 2008 on the submission by Member States of statistics on aquaculture and repealing Council Regulation (EC) No 788/96

Users can request data or other statistical analysis, by submitting an application to the Hellenic Statistical Authority, Statistical Information and Publications Division, 46, Pireos & Eponiton Str, P.O.Box 80847, GR-18510, Piraeus tel. (+30) 213.135.2022, FAX: (+30) 213.135.2312, http://www.statistics.gr/en/statistical-data-request

The annual announcements calendars of ELSTAT are accessible through the website of ELSTAT (http://www.statistics.gr/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? 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

Results of the Annual Survey on Aquaculture of ELSTAT are available via the following electronic publications:

1. Press releases of the Annual Survey on Aquaculture, available at http://www.statistics.gr/en/statistics/-/publication/SPA06/-

2. "Greece in figures", available at http://www.statistics.gr/en/greece-in-figures

 

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

Tabulated data are available at http://www.statistics.gr/en/statistics/-/publication/SPA06/- 

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

 

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

Standard Integrated Metadata Structure (SIMS) v.2.: http://www.statistics.gr/en/statistics/-/publication/SPA06/-

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

http://www.statistics.gr/en/statistics/-/publication/SPA06/-

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

SIMS v.2.

Regarding cultivated fish species classification, the system used for the published results of the Aquaculture Survey, follows the nomenclature and codification of FAO (Food and Agriculture Organization of the UN) as imprinted in the Annex IV of the Regulation (EC) No 216/2009 of the European Parliament and of the Council of 11 March 2009 on the submission of nominal catch statistics by Member States fishing in certain areas other than those of the North Atlantic (recast).

http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32009R0216&from=EN

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

http://www.statistics.gr/en/statistics/-/publication/SPA06/-


10. Cost and Burden Top
10.1 Efficiency gains over the last 3 years Further automation
Further training
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report Less respondents
More user-friendly questionnaires
Easier data transmission
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

The issues concerning the observance of statistical confidentiality by the Hellenic Statistical Authority (ELSTAT) are arranged by articles 7, 8 and 9 of the Law 3832/2010 as in force, by Articles 8, 10 and 11(2) of the Regulation on Statistical Obligations of the agencies of the Hellenic Statistical System and by Articles 10 and 15 of the Regulation on the Operation and Administration of ELSTAT.

More precisely:

ELSTAT disseminates the statistics in compliance with the statistical principles of the European Statistics Code of Practice and in particular with the principle of statistical confidentiality.

http://www.statistics.gr/en/statistical-confidentiality?inheritRedirect=true

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

ELSTAT protects and does not disseminate data it has obtained or it has access to, which enable the direct or indirect identification of the statistical units that have provided them by the disclosure of individual information directly received for statistical purposes or indirectly supplied from administrative or other sources. ELSTAT takes all appropriate preventive measures so as to render impossible the identification of individual statistical units by technical or other means that might reasonably be used by a third party. Statistical data that could potentially enable the identification of the statistical unit are disseminated by ELSTAT if and only if:

a) these data have been treated, as it is specifically set out in the Regulation on Statistical Obligations of the agencies of the Hellenic Statistical System (ELSS), in such a way that their dissemination does not prejudice statistical confidentiality or

b) the statistical unit has given its consent, without any reservations, for the disclosure of data.

The confidential data that are transmitted by ELSS agencies to ELSTAT are used exclusively for statistical purposes and the only persons who have the right to have access to these data are the personnel engaged in this task and appointed by an act of the President of ELSTAT.

ELSTAT may grant researchers conducting statistical analyses for scientific purposes access to data that enable the indirect identification of the statistical units concerned. The access is granted provided the following conditions are satisfied:

a) an appropriate request together with a detailed research proposal in conformity with current scientific standards have been submitted;

b) the research proposal indicates in sufficient detail the set of data to be accessed, the methods of analyzing them, and the time needed for the research;

c) a contract specifying the conditions for access, the obligations of the researchers, the measures for respecting the confidentiality of statistical data and the sanctions in case of breach of these obligations has been signed by the individual researcher, by his/her institution, or by the organization commissioning the research, as the case may be, and by ELSTAT.

Issues referring to the observance of statistical confidentiality are examined by the Statistical Confidentiality Committee (SCC) operating in ELSTAT. The responsibilities of this Committee are to make recommendations to the President of ELSTAT on:

the level of detail at which statistical data can be disseminated, so as the identification, either directly or indirectly, of the surveyed statistical unit is not possible;

the anonymization criteria for the microdata provided to users;

the granting to researchers access to confidential data for scientific purposes.

The staff of ELSTAT, under any employment status, as well as the temporary survey workers who are employed for the collection of statistical data in statistical surveys conducted by ELSTAT, who acquire access by any means to confidential data, are bound by the principle of confidentiality and must use these data exclusively for the statistical purposes of ELSTAT. After the termination of their term of office, they are not allowed to use these data for any purpose.

Violation of data confidentiality and/or statistical confidentiality by any civil servant or employee of ELSTAT constitutes the disciplinary offence of violation of duty and may be punished with the penalty of final dismissal.

ELSTAT, by its decision, may impose a penalty amounting from ten thousand (10,000) up to two hundred thousand (200,000) euros to anyone who violates the confidentiality of data and/or statistical confidentiality. The penalty is always imposed after the hearing of the defense of the person liable for the breach, depending on the gravity and the repercussions of the violation. Any relapse constitutes an aggravating factor for the assessment of the administrative sanction.

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_EL
Questionnaire 2019
Annual Survey On Aquaculture Qustionnaire 2020
Annual Survey on Aquaculture Questionnaire 2021
Annual Survey on Aquaculture Questionnaire 2022