Landings of fishery products (fish_ld)

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 Fishery Statistics Section
1.5. Contact mail address

46 Pireos St. & Eponiton St. 185 10, Piraeus


2. Statistical presentation Top
2.1. Data description

Main characteristics

2.1.1 Describe shortly the main characteristics of the statistics  

The Landings Regulation (Reg (EC) 1921/2006) requires Member States and EEA EFTA States to submit statistical data on an annual basis and within six months of the end of the reference calendar year. They are required to provide data on total quantities and unit values of the fishery products landed in their territory by EU and EEA EFTA vessels.


Reference period

2.1.2 Reference period of the data collection 

2022


National legislation

2.1.3 Is there a national legislation covering these statistics?  No
If Yes, please answer all the following questions.   
2.1.4 Name of the national legislation 
2.1.5 Link to the national legislation 
2.1.6 Responsible organisation for the national legislation 
2.1.7 Year of entry into force of the national legislation 
2.1.8 Please indicate which variables required under EU regulation are not covered by national legislation, if any.
2.1.9 Please indicate which national definitions differ from those in the EU regulation, if any. 
2.1.10 Is there a legal obligation for respondents to reply? 


Additional comments on data description
2.2. Classification system

Data are broken down by:
1) the species of aquatic organisms identified using the 3-alpha codes as defined by the FAO (ASFIS List of Species for Fishery Statistics Purposes);
2) the flag state of the fishing vessels carrying out landings (as per the codes set out in Annex II to the Landings Regulation);
3) the ‘presentation’ of the products i.e. processed state of the fisheries product or part thereof e.g. fresh fillets, frozen headed and gutted, smoked, etc. (See Annex III of the Regulation);
4) the intended use of the products i.e. how landed fish are intended to be used e.g. for human consumption, industrial uses, bait etc. (See Annex IV to the Regulation).
2.3. Coverage - sector

Fishery products landed on Member States territory and EEA EFTA States territory by EU and EEA EFTA vessels.
2.4. Statistical concepts and definitions

Total quantities and corresponding value of all fishery products landed in the reporting country are to be reported, regardless of the nationality of the vessel making the landings. Landings by vessels of the reporting country in foreign ports are excluded. Details on products presentation and intended use are required, as well as vessel nationality.
'Community fishing vessels' means fishing vessels flying the flag of an EU Member State and registered in the Community.
'EFTA fishing vessels' means fishing vessels flying the flag of, or registered in, an EEA EFTA country.
'Unit value' means the value at first sale of the fishery products landed (in national currency) divided by the quantity landed (in tonnes), or for fishery products not immediately sold, the average price per tonne in national currency, estimated using an appropriate method.
Landed quantities are expressed in Tonnes Product Weight.
Unit values are reported as unit price in national currency per tonne.
2.5. Statistical unit

The basic statistical units are the individual fishing vessels
2.6. Statistical population

All registered vessels having a fishing activity and landing fishery products in the EU and in the EEA EFTA States.
2.7. Reference area
2.7.1 Geographical area covered

The entire territory of Greece.
2.7.2 Which special Member State territories are included?

EL Mount Athos
2.8. Coverage - Time

1964-2022
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

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"

1
3.1.5 Total number of sources of the type "Experts"

None
3.1.6 Total number of sources of the type "Other sources"

None


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

Sea Fishery Survey by Motor-Propelled Vessels
3.1.8 Name of Organisation responsible

Hellenic Statistical Authority (ELSTAT)
3.1.9 Main scope

The Sea Fishery Survey aims at compiling results, that refer to 1) the number, engine horse power and tonnage of the fishing vessels, 2) the quantity of catches by main species, by fishery category, by type of fishing gear and by fishing area, 3) the value of catches and 4) the number of employed persons. Quantities of fish for landings and catches are considered to be the same.
3.1.10 Marine fishing areas covered Atlantic, Eastern Central
Indian Ocean, Western
3.1.11 List used to build the frame

The registry of all the professional motor-propelled fishing vessels of the Ministry of Rural Development and Food.
3.1.12 Any possible threshold values
3.1.13 Population size Restricted from publication
3.1.14 Additional comments

Sea Fishery Survey by Motor-Propelled Vessels is census as far as overseas fishery is concerned and sample survey regarding Greek professional fishing vessels fishing at the Mediterranean and Black Sea (FAO area 37).


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 
3.1.15 Name/Title

Sea Fishery Survey by Motor-Propelled Vessels
3.1.16 Name of Organisation responsible

Hellenic Statistical Authority (ELSTAT)
3.1.17 Main scope

The Sea Fishery Survey aims at compiling results, that refer to 1) the number, engine horse power and tonnage of the fishing vessels, 2) the quantity of catches by main species, by fishery category, by type of fishing gear and by fishing area, 3) the value of catches and 4) the number of employed persons. Quantities of fish for landings and catches are considered to be the same.
3.1.18 Marine fishing areas covered Mediterranean and Black Sea
3.1.19 List used to build the frame

The registry of all the professional motor-propelled fishing vessels of the Ministry of Rural Development and Food.
3.1.20 Any possible threshold values
3.1.21 Population size

12,101 professional motor-propelled fishing vessels are included in the relevant registry for the reference year 2022.
3.1.22 Sample size

Data collection takes place monthly and annual results are calculated on the basis of the sum of the monthly data.

2,100-2,500 questionnaires are collected monthly.
3.1.23 Sampling basis List
3.1.24 If Other, please specify
3.1.25 Type of sample design Stratified
3.1.26 If Other, please specify
3.1.27 If Stratified, number of strata

68 (4 fishing gears x 17 fishing areas).
3.1.28 If Stratified, stratification criteria Other
3.1.29 If Other, please specify

1. Fishing gears (1. bottom otter trawls, 2. purse seines, 3. beach seines and 4. other fishing gears of inshore fishery)

2. Fishing areas (17 subdivisions of the Mediterranean and Black Sea)
3.1.30 Additional comments

Sea Fishery Survey by Motor-Propelled Vessels is census as far as overseas fishery is concerned and sample survey regarding Greek professional fishing vessels fishing at the Mediterranean and Black Sea (FAO area 37).


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 
3.1.31 Name/Title

Sea Fishery Survey by Motor-Propelled Vessels
3.1.32 Name of Organisation responsible

Central Market and Fishery Organisation (CMFO SA)
3.1.33 Contact information (email and phone)
3.1.34 Main administrative scope

Data from the administrative source are only used for calculating unit values.

 
3.1.35 Geospatial Coverage
3.1.36 Type of administrative documents collected
3.1.37 If Other, please specify
3.1.38 Are these documents in accordance with the rules set in the current EU Regulations (EC) 1224/2009 and (EU) 404/2011 for each of your fleet segments?
3.1.39 If partially, which rules are not applied?
3.1.40 Are landing data for vessels under 10 metres long collected?
3.1.41 Is the Electronic Reporting System (ERS) used for vessels above 12 meters as foreseen in Regulations (EC) 1224/2009 and (EU) 404/2011?
3.1.42 Is the Vessel Monitoring System (VMS) used for vessels above 12 meters as foreseen in Regulations (EC) 1224/2009 and (EU) 404/2011?
3.1.43 Marine fishing areas covered
3.1.44 Update frequency
3.1.45 Legal basis
3.1.46 Are you able to access directly to the micro data?
3.1.47 Are you able to check the plausibility of the data, namely by contacting directly the units?
3.1.48 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?
3.1.49 Please list the main differences between the administrative source and the statistical definitions and concepts
3.1.50 Is a different threshold used in the administrative source and statistical data?
3.1.51 If Yes, please specify
3.1.52 Additional comments
Unit values are calculated based on the average prices provided by the Fishing Development Corporation (ETANAL SA), which merged by absorption with the Central Market and Fishery Organisation (CMFO SA). The 11 fish wharves of Greece constitute branches of the CMFO SA.


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 
3.1.53 Name/Title
3.1.54 Primary purpose
3.1.55 Legal basis
3.1.56 Update frequency
3.1.57 Expert data supplier
3.1.58 If Other, please specify
3.1.59 How would you assess the quality of those data?
3.1.60 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 
3.1.61 Name/Title
3.1.62 Name of Organisation
3.1.63 Primary purpose
3.1.64 Data type
3.1.65 If Other, please specify
3.1.66 How would you assess the quality of those data?
3.1.67 Additional comments

 
3.2. Frequency of data collection

Data collection takes place monthly and annual results are calculated on the basis of the sum of the monthly data.
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

Sea Fishery Survey by Motor-Propelled Vessels
3.3.2 Methods of data collection Postal 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? Optical
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)

The attached questionnaire is used for both census (overseas fishery) and sample survey.
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

Sea Fishery Survey by Motor-Propelled Vessels
3.3.9 Methods of data collection Postal 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? Optical
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)

The attached questionnaire is used for both census (overseas fishery) and sample survey.

 
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

Central Market and Fishery Organisation (CMFO SA)
3.3.16 Extraction date

May 2023
3.3.17 How easy is it to get access to the data? Access granted upon a simple request
3.3.18 Data transfer method

Data are sent by e-mail
3.3.19 Additional comments


Experts

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.3 of the annexed Excel file 
3.3.20 Name/Title
3.3.21 Methods of data collection
3.3.22 Additional comments


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

Not applicable
3.5.2 Which conversion factors were used from tonnes product weight (TPW) to tonnes live weight (TLW)?
3.5.3 Additional comments
3.6. Adjustment

Not applicable


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?

The Quality Policy followed by ELSTAT is available at: http://www.statistics.gr/documents/20181/2571f853-1e37-46da-9387-595bbe2a162b.
4.1.3 Has a peer review been carried out? Yes
4.1.4 If Yes, which were the main conclusions?

Conclusions and recomendations of the peer review of ELSTAT are available at:

http://www.statistics.gr/en/peer-review
4.1.5 What quality improvements are foreseen?
4.1.6 If Other, please specify
4.1.7 Additional comments

The Quality Policy followed by ELSTAT is available at: http://www.statistics.gr/documents/20181/2571f853-1e37-46da-9387-595bbe2a162b.
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 Improvement
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 unmet user needs have been identified
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

2021
5.2.3 How satisfied were the users? Highly satisfied
5.2.4 Additional comments

User satisfaction surveys concern all surveys conducted by Hellenic Statistical Authority (ELSTAT), and so do results announced on the site of ELSTAT.
More specifically, the User Satisfaction Survey is conducted by ELSTAT on a daily basis, through a questionnaire that can be filled in (optionally) by users each time they request and are provided with data by ELSTAT. The Data Dissemination Section and the Library and Website Content Management Section of ELSTAT, drawing information from the User Satisfaction Survey compile an annual report presenting data on the number of users, the responsiveness level to users’ requests, the kind of the requested data, as well as the dissemination mode of the statistical information. For years 2011 –2021, the results of the user satisfaction survey are available at: http://www.statistics.gr/en/user-satisfaction-survey.
5.3. Completeness
5.3.1 Data completeness - rate

100%
5.3.2 If not complete, which characteristics are missing?
5.3.3 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? Processing 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

Sea Fishery Survey by Motor-Propelled Vessels
6.2.2 Methods used to assess the sampling error Comparisons with other sources
6.2.3 If Other, please specify
6.2.4 Methods used to derive the extrapolation factor
6.2.5 If Other, please specify
6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas
6.2.7 Sampling error - indicators

Please provide the coefficients of variation in the worksheet CV of the annexed Excel file
6.2.8 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

Sea Fishery Survey by Motor-Propelled Vessels
Over-coverage
6.3.1.2 Does the sample frame include wrongly classified units that are out of scope? No
6.3.1.3 What methods are used to detect the out-of scope units?
6.3.1.4 Does the sample frame include units that do not exist in practice? No
6.3.1.5 Over-coverage - rate
6.3.1.6 Impact on the data quality
Under-coverage
6.3.1.7 Does the sample frame include all units falling within the scope of this survey? Yes
6.3.1.8 If Not, which units are not included?
6.3.1.9 How large do you estimate the proportion of those units? (%)
6.3.1.10 Impact on the data quality
Misclassification
6.3.1.11 Impact on the data quality None
Common units
6.3.1.12 Common units - proportion

Not applicable.
6.3.1.13 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 
6.3.1.14 Name/Title

Sea Fishery Survey by Motor-Propelled Vessels
Over-coverage
6.3.1.15 Does the sample frame include wrongly classified units that are out of scope? No
6.3.1.16 What methods are used to detect the out-of scope units?
6.3.1.17 Does the sample frame include units that do not exist in practice? No
6.3.1.18 Over-coverage - rate
6.3.1.19 Impact on the data quality
Under-coverage 
6.3.1.20 Does the sample frame include all units falling within the scope of this survey? Yes
6.3.1.21 If Not, which units are not included?
6.3.1.22 How large do you estimate the proportion of those units? (%)
6.3.1.23 Impact on the data quality
Misclassification
6.3.1.24 Impact on the data quality None
Common units 
6.3.1.25 Common units - proportion

Not applicable.
6.3.1.26 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 
6.3.1.27 Name/Title of the administrative source
Over-coverage
6.3.1.28 Does the administrative source include wrongly classified units that are out of scope?
6.3.1.29 What methods are used to detect the out-of scope units?
6.3.1.30 Does the administrative source include units that do not exist in practice?
6.3.1.31 Over-coverage - rate
6.3.1.32 Impact on the data quality
Under-coverage
6.3.1.33 Does the administrative source include all units falling within the scope of this survey?
6.3.1.34 If Not, which units are not included?
6.3.1.35 How large do you estimate the proportion of those units? (%)
6.3.1.36 Impact on the data quality
Misclassification 
6.3.1.37 Impact on the data quality
6.3.1.38 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

Sea Fishery Survey by Motor-Propelled Vessels
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?

9

 
6.3.2.4 Preparatory testing of the questionnaire? No
6.3.2.5 Number of units participating in the tests? 
6.3.2.6 Explanatory notes/handbook for surveyors/respondents?  Yes
6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents? No
6.3.2.8 Are there pre-filled questions? No
6.3.2.9 Percentage of pre-filled questions out of total number of questions
6.3.2.10 Other actions taken for reducing the measurement error?
6.3.2.11 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 
6.3.2.12 Name/Title

Sea Fishery Survey by Motor-Propelled Vessels
6.3.2.13 Is the questionnaire based on usual concepts for respondents? Yes
6.3.2.14 Number of surveys already performed with the current questionnaire?

9
6.3.2.15 Preparatory testing of the questionnaire? No
6.3.2.16 Number of units participating in the tests? 
6.3.2.17 Explanatory notes/handbook for surveyors/respondents?  Yes
6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents? No
6.3.2.19 Are there pre-filled questions? No
6.3.2.20 Percentage of pre-filled questions out of total number of questions
6.3.2.21 Other actions taken for reducing the measurement error?
6.3.2.22 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 of the survey

Sea Fishery Survey by Motor-Propelled Vessels
6.3.3.2 Unit non-response - rate

0%.
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context? Very low
6.3.3.4 Measures taken for minimising the unit non-response Reminders
6.3.3.5 If Other, please specify
6.3.3.6 Item non-response rate

0%.
6.3.3.7 Item non-response rate - Minimum

0%.
6.3.3.8 Item non-response rate - Maximum

0%.
6.3.3.9 Which items had a high item non-response rate? 

None.
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 of the survey

Sea Fishery Survey by Motor-Propelled Vessels

 
6.3.3.12 Unit non-response - rate

Not estimated.
6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context? Very low
6.3.3.14 Measures taken for minimising the unit non-response Reminders
6.3.3.15 If Other, please specify
6.3.3.16 Item non-response rate

Not estimated.
6.3.3.17 Item non-response rate - Minimum

Not estimated.
6.3.3.18 Item non-response rate - Maximum

Not estimated.
6.3.3.19 Which items had a high item non-response rate? 

Not estimated.
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

Sea Fishery Survey by Motor-Propelled Vessels
6.3.4.2 Imputation - rate

0%.
6.3.4.3 Imputation - basis Other
6.3.4.4 If Other, please specify

None.
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

Sea Fishery Survey by Motor-Propelled Vessels
6.3.4.7 Imputation - rate

0%.
6.3.4.8 Imputation - basis Other
6.3.4.9 If Other, please specify

None.
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.

https://www.statistics.gr/documents/20181/1195539/ELSTAT_Revisions_Policy_25_10_2018_EN.pdf/604b51dd-5dc2-4c7c-8b74-2766bda16e5e
6.6. Data revision - practice
6.6.1 Data revision - average size

In 2015, a reclassification of species has been performed concerning reference years 2002-2014 in cooperation with the Greek Ministry of Rural Development and Food. Consequently, catch and landings data series have been revised from 2002.
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?

The aim of the revision was the rationalisation of the species codes in order to enhance data quality.
6.6.4 How do you evaluate the impact of the revisions? Important
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?

14/06/2023 (first transmission to Eurostat within 6 months of the end of the reference year, according to Regulation (EC) No 1921/2006)
7.1.2 When were  the final results for the reference period published?

28/09/2023 (final transmission to Eurostat following the scheduled press release on 28/09/2023)
7.1.3 Reasons for possible long production times?
7.2. Punctuality
7.2.1 Were data released nationally 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 national release date of data and the target date
7.2.4. Punctuality - delivery and publication


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

Until the reference year 2015, the survey covered the professional motor-propelled fishing vessels of 20 HP and over. From the reference year 2016 onwards, the survey covers all motor-propelled professional fishing vessels irrespective of their horsepower. In order to ensure comparability over time, results referring only to the fishing vessels of 20 HP and over are also available upon request.
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

From the reference year 2016 onwards, all fishing vessels irrespective of their horsepower are included in the survey sample.
8.2.4 Additional comments
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared? Data submitted to other organisations
8.3.2 If Other, please specify

Data transmitted by the Hellenic Ministry of Rural Development and Food to DG Mare.
8.3.3 Describe briefly the results of comparisons

Comparison results were satisfactory.
8.3.4 If no comparisons have been made, explain why
8.3.5 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

http://www.statistics.gr/en/statistics/-/publication/SPA03/-
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

The main results of the Sea Fishery Survey are published in the electronic publications under the general title “Greece in figures” accessible via the website of ELSTAT http://www.statistics.gr/greece-in-figures, and the specific informative publications in the context of the Thessaloniki International Fair https://www.statistics.gr/en/elstat-tif-helexpo.
9.3. Dissemination format - online database
9.3.1 Data tables - consultations

Tabulated data are available through the website of ELSTAT http://www.statistics.gr/en/statistics/-/publication/SPA03/-.
9.3.2 Is an on-line database accessible to users? No
9.3.3 Please provide a link
9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? Yes
9.4.2 Please provide a link

Users can request access to microdata by submitting a request to the Hellenic Statistical Authority, Statistical Information and Publications Division through the portal of ELSTAT (http://www.statistics.gr/en) at the following link: http://www.statistics.gr/en/statistical-data-request.
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

http://www.statistics.gr/en/statistics/-/publication/SPA03/-
9.6.3 Are methodological papers available? No
9.6.4 Please provide a link
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

100%
9.7.2 Metadata - consultations
9.7.3 Is a quality report available? Yes
9.7.4 Please provide a link

http://www.statistics.gr/en/statistics/-/publication/SPA03/-


10. Cost and Burden Top
10.1 Efficiency gains if compared to the previous quality report Further automation
Further training
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report More user-friendly questionnaires
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.

https://www.statistics.gr/documents/20181/1609796/ELSTAT_Statistical_Confidentiality_Policy_EN.pdf/c79e5ac8-469c-433d-b4e6-8433319b21d2

Protection of personal data

ELSTAT abides by the commitments and obligations arising from the applicable EU and national legislation on the protection of the individual from the processing of personal data and the relevant decisions, guidelines and regulatory acts of the Hellenic Data Protection Authority.

Pursuant to the Regulation on the protection of natural persons with regard to the processing of personal data [Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 (General Data Protection Regulation - GDPR)], ELSTAT implements the appropriate technical and organisational measures for ensuring adequate level of security against risks for the personal data it collects and has access to, in the context of carrying out its tasks, in order to meet the requirements of this Regulation and to protect these personal data from any unauthorised access or illegal processing.

The personal data collected by ELSTAT are used exclusively for purposes related to the conduct of surveys and the production of relevant statistics. Only ELSTAT has access to the data. The controller is the person appointed by law pursuant to the relevant provisions concerning the Legal Entities of Public Law and the Independent Authorities. The data are stored in the databases of ELSTAT for as long as required by the relevant legislation.

Legal basis of the processing: Article 6, para 1(c) and 1(d) of the General Data Protection Regulation (GDPR)

https://www.statistics.gr/el/privacy-info
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.

Pursuant to the Regulation on the protection of natural persons with regard to the processing of personal data [Regulation (EU) 2016/679 of the European Parliament and of the Council, of 27 April 2016 (General Data Protection Regulation - GDPR)], ELSTAT implements the appropriate technical and organisational measures for ensuring adequate level of security against risks for the personal data it collects and has access to, in the context of carrying out its tasks, in order to meet the requirements of this Regulation and to protect these personal data from any unauthorised access or illegal processing.
11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
ESQRS_ANNEX_EL
Questionnaire of the Sea Fishery Survey by motor-propelled vessels