Aquaculture production by species (fish_aq)

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

Compiling agency: Statistical Office of the Republic of Serbia (SORS)


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

Statistical Office of the Republic of Serbia (SORS)
1.2. Contact organisation unit

Agriculture and Forestry Division - Unit for livestock and fishery statistics
1.5. Contact mail address

Milana Rakica 5, Belgrade, Serbia


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.

Phenomena such as production of fish eggs (roe) at first sale for human consumption and input to capture-based aquaculture are not relevant for the Republic of Serbia and datasets AQ2B and AQ3 are not available.


Reference period

2.1.2 Reference period of the data collection 

2023


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

Data are provided in accordance with the Law on Official Statistics ("Official Gazette of RS", number 104/09, 24/11) and Law on Livestock Breeding ("Official Gazette of RS", No. 41/2009, 93/2012 and  14/2016), on the basis of the Regulation on defining the Plan of official statistics for the reference year.
2.1.5 Link to the national legislation

Law on Official Statistics

Law on Livestock Breeding (Serbian version)

 
2.1.6 Responsible organisation for the national legislation

Law on Official Statistics: Statistical Office of the Republic of Serbia

Law on Livestock Breeding: Ministry of Agriculture, Forestry and Water Management

 
2.1.7 Year of entry into force of the national legislation

Law on Official Statistics: 2009

Law on Livestock Breeding: 2016
2.1.8 Please indicate which variables required under EU regulation are not covered by national legislation, if any.

All variables required under EU regulation are covered by national legislation.
2.1.9 Please indicate which national definitions differ from those in the EU regulation, if any.

There are no differences between national definitions and definitions from EU regulation.
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:

  • '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.
  • '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'.
  • '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.
  • '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.

Relevant FAO major area for the Republic of Serbia is 5 (European inland waters). Regarding cultivation method, relevant are ponds, tanks and cages in fresh water as a water type.
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. 
The production volume is expressed in tonnes live weight [TLW] of the product. This weight includes 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, 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

Reference area is the territory of the Republic of Serbia.

Notes: Since 1999 Statistical Office of the Republic of Serbia does not answer for the specific data for AP Kosovo i Metohija and these data are not included in the coverage for the Republic of Serbia (total).
2.7.2 Which special Member State territories are included?

Not applicable
2.8. Coverage - Time

Data on aquaculture in the Republic of Serbia have been collected since 1963. Time series  has been interrupted several times. Due to harmonization with Regulation (EC) No 762/2008 most important changes were introduced in 2013.
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

2
The breakdown is as follows:
3.1.2 Total number of sources of the type "Census"

2
3.1.3 Total number of sources of the type "Sample Survey"

0
3.1.4 Total number of sources of the type "Administrative source"

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

Anual report on production of fish for consumption and juveniles in aquaculture
3.1.8 Name of Organisation responsible

Statistical Office of the Republic of Serbia
3.1.9 Main scope

Data source provides tracking of the main indicators in  the aquaculture production for national and internacional needs, namely: the structure of persons engaged in the aquaculture production - by sex, length of  realized work, age, country of origin and education; capacity and structure of the freshwater facilities; the production of fish for consumption in the facilities for carp and trout breeding at first sale for human consumption, as well as price per tonne - by species, FAO major area, cultivation methods; production of fertilised eggs and juveniles at first sale - by species; watercrafts and equipment and certain costs of production.
3.1.10 List used to build the frame

The list of the reporting units is optained using Statistical Business Register of the Republic of Serbia and Evidention of aquaculture facilities  of Ministry of Agriculture, Forestry and Water Management (Veterinary Administration).
3.1.11 Any possible threshold values
3.1.12 Population size

185 units  were on the list for 2023 census
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

In order to ensure the  full coverage of all active commercial facilities for aquaculture production included are also natural persons registrated by Ministry Agriculture, Forestry and Water Management (Veterinary Administration) аs owners of facilities. 


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

Anual report on production of fish for consumption and juveniles in aquaculture
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? Manual
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)


Annual report on the production of fish for consumption and juveniles, 2023 - Questionnaire

 

 

 

 
3.3.7 Additional comments

The census is conducted through SORS regional offices (16). Data are collected by reporting method, by mail - using printed questionnaire, or via e-mail. Reporting units are contacted in order to provide information on the implementation of the census and questionnaires are sent with explaining regarding deadlines and completing the questionnaire by 10 February. Reporting units are obliged to forward completed questionnaire to corresponding SORS regional office by 1 March (for follow-up interviewing deadline is 1 April). Contolled data entry is done by SORS regional offices up to 1 April. Further data processing and analysis are done centralized by 4 May when data are published.


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

Controlled data entry and data processing are done in  IST program developed by SORS. Non response of reporting units and non response on certain questions for key variables are solved by imputation data from the last year report of the same response unit  or from reports of other units from the current year, if it is relevant and possible.
3.5.2 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?

General framework for quality assurance is defined by the Declaration on the quality or the Quality Policy, which can be accessed via the following link:

Quality policy

Regarding aquaculture production, quality control is carried out at all stages of data production. First of all, this control refers to a coverage control and  updating of reporting units address book. In the first phase of the questionnaires control completeness and accuracy of filled questionnaires are carried out. Further, data are controled during data entry in IST program according to the defined criteria of logical and computy control.
4.1.3 Has a peer review been carried out? Yes
4.1.4 If Yes, which were the main conclusions?

The Peer Review team identified five broad areas in which compliance with the European statistics Code of Practice (CoP) could be enhanced. These issues are related to consolidating the institutional and legal framework, increasing resources and improving cost-effectiveness, developing quality management further, improving accessibility, and strengthening coordination. The complete Peer Review report and Progress Report for 2023 can be accessed via the following links:

Peer Review Report

Progress Report for 2023
4.1.5 What quality improvements are foreseen? Other
4.1.6 If Other, please specify

Intensification of cooperation with Ministry of Agriculture, Forestry and Water Management on updating the list of reporting units and improving their response.
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 Improvement
4.2.5 Comparability Improvement
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
5.1.2 Please specify any plans to satisfy needs more completely in the future
5.1.3 Additional comments

Users of these data are the Ministry of Agriculture, Forestry and Water Management, Agency for Environmental Protection, Institute of Biology, other institutions and institutes, journalists, students and other individuals.

In order to define appropriate content of the questionnaire for this survey representatives of the Ministry of Agriculture, Forestry and Water Management and other experts in this field were consulted, and EU legislation was examined, to get data that would satisfy national and international needs.

Around 80% of data requested under Regulation (EU) No 762/2008 meet national data needs. Additional data that are provided for national needs are: the structure of employees on fish holdings - by sex and  length of  realized work, watercrafts and equipment and  some costs of production.
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

General Survey on user satisfaction is conducted every two years.  The latest available results can be accessed via the following link: 2023

There is no specific survey on user satisfaction related to aquaculture statistics.
5.3. Completeness
5.3.1 AQ2A - Data completeness - rate

100% (The ratio of the number of data cells provided to the number of data cells required is 1)
5.3.2 AQ2B - Data completeness - rate

100% (The ratio of the number of data cells provided to the number of data cells required is 1.
5.3.3 AQ3 - Data completeness - rate

100% (The ratio of the number of data cells provided to the number of data cells required is 1)
5.3.4 AQ4 - Data completeness - rate

100% (The ratio of the number of data cells provided to the number of data cells required is 1)  

5.3.5 AQ5 - Data completeness - rate

100% (The ratio of the number of data cells provided to the number of data cells required is 1)  
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? Medium
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
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

Anual report on production of fish for consumption and juveniles in aquaculture
Over-coverage 
6.3.1.2 Over-coverage - rate

From the total number of units from the list 4.4% stated that are not involved in commercial aquaculture production destined to human consumption.
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

The  full coverage of all active commercial facilities for aquaculture production is ensured by the creation of a unique list of enterprises registered in the Business Registers Agency to perform the production of fish for consumption and juveniles or are registered in another activity but perform this production, and natural persons registrated by Ministry of Agriculture, Forestry and Water Management (Veterinary Administration) аs owners of aquaculture facilities. The updating of the list of reporting units is carried out once in the current year with the status as at 31 December of the previous year, using the available sources (Statistical Business Register, Evidention of aquaculture facilities of the  Ministry of Agriculture, Forestry and Water Management), including contacting the reporting units, field visits and conducting the census itself.


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 applicable.
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 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 applicable.
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

Anual report on production of fish for consumption and juveniles in 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?

11
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?

After preparation of the questionnaire  with the participation of experts in the field of fishery, the questionnaire was tested by several reporting units, which gave a positive assessment of the clarity of content. In order accuracy of filled questionnaires, a brief explanation for the reporting units is given below each table in the questionnaire. Particular attention is given to the concept realized (sold) in the tables that relate to the production of  fish for consumption, due to the fact that the displayed amount of fish means  produced quantity in the reference year. Training of representatives of SORS regional offises who are directly involved in the implementation of this census was held. Among other things, their task is to contact the reporting units and provide additional explanation regarding filling in the questionnaires. In the event that, despite all the action taken, questionnaire is incorrectly filled out, they are obliged to call the reporting unit and along with it to make correction. In addition, the internal analysis of data based on expected values ​​for certain phenomena - external data is carried out  (eg. semi-intensive production of the carp fish ponds range in the interval from about 700 to 1000 t / ha, in trout from 10 to 20 kg / m3 ).
6.3.2.7 Additional comments

In order to comply with the common EU fisheries policy, for the needs of the Ministry of Agriculture, Forestry and Water Management, as a part of the regular statistical survey Annual report on the production of fish for consumption and juveniles in 2022, certain data were collected regarding socio-economic indicators in aquaculture, but the content of the questionnaire relating to Regulation (EC) 762/2008 is the same as in previous years. Data on socio-economic indicators in aquaculture are regularly provided from 2022.


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

Anual report on production of fish for consumption and juveniles in aquaculture
6.3.3.2 Unit non-response - rate

In relation to the total number of reporting units,  in the last census non-response was 16.3%. 
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context? Moderate
6.3.3.4 Measures taken for minimising the unit non-response Follow-up interviews
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? 

There are no items with a significant (high) non-response rate. Incomplete responses mainly refer to the  average price per weight unit at first sale or size of facilities.
6.3.3.10 Additional comments


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 
6.3.3.11 Name/Title
6.3.3.12 Unit non-response - rate
6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context?
6.3.3.14 Measures taken for minimising the unit non-response
6.3.3.15 If Other, please specify
6.3.3.16 Item non-response rate
6.3.3.17 Item non-response rate - Minimum
6.3.3.18 Item non-response rate - Maximum
6.3.3.19 Which items had a high item non-response rate? 
6.3.3.20 Additional comments
6.3.4. Processing error

Census

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

Anual report on production of fish for consumption and juveniles in aquaculture
6.3.4.2 Imputation - rate

There is no evidention on number of imputations.
6.3.4.3 Imputation - basis Similar units
Same unit in previous data
6.3.4.4 If Other, please specify
6.3.4.5 Additional comments

Processing errors have been removed in the process of testing applications for data entry  and formating output tables  in the IST program.


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

General policy revision was adopted by the institution, it is available on the SORS website and can be accessed via the following website: Stat website (dokumenti).
6.6. Data revision - practice
6.6.1 Data revision - average size

 Data revision was not applied.
6.6.2 Were data revisions due to conceptual changes (e.g. new definitions)  carried out since the last quality report?
6.6.3 What was the main reason for the revisions?
6.6.4 How do you evaluate the impact of the revisions?
6.6.5 Additional comments

Not applicable


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

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

4 May
7.1.3 Reasons for possible long production times?

One of possible reasons for long production times is follow-up interviews.
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

Not applicable.


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

Comparable-complete time series is available only from 2013.
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 production in cages and prices at first sale were changes in 2013. 
8.2.4 Additional comments
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared?

There is no other national data sources.
8.3.2 Describe briefly the results of comparisons

Not applicable
8.3.3 Additional comments

There are no other relevant statistical data, except data for national purposes on the total number of employees in the fisheries and aquaculture activity  that are the result of survey based on combining the data of the Central Registry of Compulsory Social Insurance of the Republic of Serbia and the Statistical Business Register.
8.4. Coherence - sub annual and annual statistics

Not applicable
8.5. Coherence - National Accounts

Not applicable
8.6. Coherence - internal

Statistical data within the data set are consistent.


9. Accessibility and clarity Top
9.1. Dissemination format - News release
9.1.1 Do you publish a news release? No
9.1.2 If Yes, please provide a link
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? Yes
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

Statistical Yearbook
9.3. Dissemination format - online database
9.3.1 Data tables - consultations

Not applicable
9.3.2 Is an on-line database accessible to users? Yes
9.3.3 Please provide a link

on-line database
9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? No
9.4.2 Please provide a link
9.5. Dissemination format - other

Not available
9.6. Documentation on methodology
9.6.1 Are national reference metadata files available? Yes
9.6.2 Please provide a link

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

Methodological explanation is available in Serbian. Extract of the methodology (English version) is published on SORS website: Publikacije stat webiste.
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

The rate of completeness of metadata is 0.9.
9.7.2 Metadata - consultations

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


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

Sending questionnaire by e-mail
10.3 Burden reduction measures since the previous quality report Other
10.4 If Other, please specify

Funds for the production of relevant statistical data are provided from the budget of the Republic of Serbia. As this is in annual periodicity and there are small number of reporting units, the production costs of these data are insignificant. Estimated burden of reporting unit is 120 minutes per year (burden in total in the last reference year was 17 760 minutes ie. 296h). There is no significant burden reduction in the last 12 months.


11. Confidentiality Top
11.1. Confidentiality - policy
11.1.1 Are confidential data transmitted to Eurostat? No
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009?
11.1.3 Describe the data confidentiality policy in place

Individual data are the official statistical data and as such are confidential and subject to special protection, which is provided in all phases of  research. Confidentiality of individual data is guaranteed by the Law on oficial statistics. Any abuse of official statistics for misdemeanor charges, in accordance with the Law.
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

General national rules for ensuring confidentiality during dissemination can be found by following link:

Dissemination policy

 

 

 

 
11.2.2 Additional comments

Approach for publishing national Aquaculture statistics: Top-down

Procedures for ensuring confidentiality of disseminated data: Aggregation


12. Comment Top

No comment


Related metadata Top


Annexes Top
ESQRS_ANNEX_RS _Annual Report on fish catches in rivers, lakes and canals, 2023