Title of statistical activity: Aquaculture
Code of statistical activity: 20702
- Metadata update
- Statistical presentation
- Unit of measure
- Reference period
- Institutional mandate
- Release policy
- Frequency of dissemination
- Accessibility and clarity
- Quality management
- Accuracy and reliability
- Timeliness and punctuality
- Coherence and comparability
- Cost and burden
- Data revision
- Statistical processing
1.1. Contact organisation The name of the organisation of the contact points for the data or metadata.
1.2. Contact organisation unit An addressable subdivision of an organisation.
Economic and Environmental Statistics Department
1.3. Contact name The name of the contact points for the data or metadata.
1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination".
1.5. Contact mail address The postal address of the contact points for the data or metadata.
51 Tatari Str, 10134 Tallinn, Estonia
1.6. Contact email address E-mail address of the contact points for the data or metadata.
1.7. Contact phone number The telephone number of the contact points for the data or metadata.
+372 625 9308
2.1. Metadata last certified Date of the latest certification provided by the domain manager to confirm that the metadata posted are still up-to-date, even if the content has not been amended.
2.2. Metadata last update Date of last update of the content of the metadata.
3. Statistical presentation
3.1. Data description Main characteristics of the data set described in an easily understandable manner, referring to the data and indicators disseminated.
Area and volume of waterbody used for fish and crayfish farming by type of facility, incl. waterbodies with fresh water and sea water
Feed used for fish and crayfish farming by type (feed for predatory fish, feed for carps, other)
Quantity of sold fish and crayfish by farmed species, salinity of water and by type of facility; value of sold catch by farmed species
Sale of fish roe (for consumption) by farmed species, salinity of water and value of sold catch by farmed species
Production of hatcheries and nurseries for release into the wild or a controlled environment by farmed species, age group and value
Quantity of fish and crayfish collected from the wild and purchased by species and age group; value by species
Average annual number of employees by sex
Area of buildings related to aquaculture
3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.
Age group of fish and crayfish
Classification of fish farming facilities
Classification of fish by species
3.3. Sector coverage Main economic or other sectors covered by the statistics.
All enterprises whose main or secondary activity is aquaculture
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
Cage – a net structure with floats placed in the sea or in a natural freshwater body.
Enclosure with water recirculation system – artificial structure where water is re-used after bio-filtering.
Hatchery and nursery – artificial structure where eggs and juveniles are bred, hatched and reared.
Pond and tank – a natural structure or a structure with artificial walls and bottom where water interchange takes place up to 10 times a day.
Raceway – an artificial structure with high water turnover rate (more than 10 times a day) without water recirculation.
Sale of commercial fish – fish farming production sold as commercial fish to Estonia and foreign countries in the current year.
3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.
3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.
List of active enterprises whose main or secondary activity is aquaculture (EMTAK 03.2–03.22). The list is generated from the Business Register for Statistical Purposes.
3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.
Estonia as a whole
3.8. Time coverage The length of time for which data are available.
3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.
Type of aquaculture facility – number, ha, m³
Feed – tonne
Employees – number
Sold production (commercial fish and fish roe for consumption), fish brought to fish farms by nursery – live weight, kg, tonnes
Farming of fish for release into waterbodies by nursery – thousand units
Area of building – m²
6. Institutional mandate
6.1. Legal acts and other agreements Legal acts or other formal or informal agreements that assign responsibility as well as the authority to an agency for the collection, processing, and dissemination of statistics.
DIRECTLY APPLICABLE LEGAL ACTS
Regulation (EC) No 762/2008 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
OTHER LEGAL ACTS
Food and Agriculture Organization of the United Nations (FAO)
7.1. Confidentiality - policy Legislative measures or other formal procedures which prevent unauthorised disclosure of data that identify a person or economic entity either directly or indirectly.
The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34 and § 35 of the Official Statistics Act.
7.2. Confidentiality - data treatment Rules applied for treating the data set to ensure statistical confidentiality and prevent unauthorised disclosure.
The treatment of confidential data is regulated by the Procedure for Protection of Data Collected and Processed by Statistics Estonia: https://www.stat.ee/66485.
8.1. Release calendar The schedule of statistical release dates.
Notifications about dissemination of statistics are published in the release calendar, which is available on the website. Every year on 1 October, the release times of the Statistical Database, news releases, main indicators by IMF SDDS and publications for the following year are announced in the release calendar (in case of publications – the release month).
8.2. Release calendar access Access to the release calendar information.
8.3. User access The policy for release of the data to users, the scope of dissemination (e.g. to the public, to selected users), how users are informed that the data are being released, and whether the policy determines the dissemination of statistical data to all users.
All users have been granted equal access to official statistics: dissemination dates of official statistics are announced in advance and no user category (incl. Eurostat, state authorities and mass media) is provided access to official statistics before other users. Official statistics are first published in the Statistical Database. If there is also a news release, it is published simultaneously with data in the Statistical Database. Official statistics are available on the website at 8:00 a.m. on the date announced in the release calendar.
10. Accessibility and clarity
10.1. News release Regular or ad-hoc press releases linked to the data.
The news release “Fish and crayfish farming” once a year. The news release can be viewed on the website at https://www.stat.ee/news-releases.
10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.
10.3. Online database Information about on-line databases in which the disseminated data can be accessed.
Data are published under the subject area “Economy / Fishing” in the Statistical Database at http://pub.stat.ee.
10.4. Microdata access Information on whether micro-data are also disseminated.
The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34, § 35, § 36, § 37, § 38 of the Official Statistics Act. Access to microdata and anonymisation of microdata are regulated by Statistics Estonia’s procedure for dissemination of confidential data for scientific purposes: https://www.stat.ee/dokumendid/51669.
10.5. Other References to the most important other data dissemination done.
Data serve as input for statistical activity 10601 “Material flow accounts” and 10106 “Environmental goods and services sector accounts”.
10.6. Documentation on methodology Descriptive text and references to methodological documents available.
The methodology used is based on Regulation (EC) No 762/2008 of the European Parliament and of the Council and on the materials of Eurostat’s working party on fishery statistics. There is no methodological manual.
The methodology applied in Estonia is described in quality reports submitted to Eurostat.
10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.
Quality report submitted to Eurostat in accordance with data submission under Regulation (EC) No 762/2008 of the European Parliament and of the Council
11.1. Quality assurance All systematic activities implemented that can be demonstrated to provide confidence that the processes will fulfil the requirements for the statistical output.
To assure the quality of processes and products, Statistics Estonia applies the EFQM Excellence Model, the European Statistics Code of Practice and the Quality Assurance Framework of the European Statistical System (ESS QAF). Statistics Estonia is also guided by the requirements in § 7. “Principles and quality criteria of producing official statistics” of the Official Statistics Act.
11.2. Quality assessment Overall assessment of data quality, based on standard quality criteria.
Statistics Estonia performs all statistical activities according to an international model (Generic Statistical Business Process Model – GSBPM). According to the GSBPM, the final phase of statistical activities is overall evaluation using information gathered in each phase or sub-process; this information can take many forms, including feedback from users, process metadata, system metrics and suggestions from employees. This information is used to prepare the evaluation report which outlines all the quality problems related to the specific statistical activity and serves as input for improvement actions.
12.1. User needs Description of users and their respective needs with respect to the statistical data.
Ministry of the Environment
Ministry of Rural Affairs
Estonian Fish and Crayfish Farmers Association
Users’ suggestions and information about taking these into account are available on the website of Statistics Estonia at https://www.stat.ee/statistikatood.
12.2. User satisfaction Measures to determine user satisfaction.
Since 1996, Statistics Estonia has conducted reputation and user satisfaction surveys.
All results are available on the website at https://www.stat.ee/user-surveys.
12.3. Completeness The extent to which all statistics that are needed are available.
The data are complete and correspond to the data composition requirements of the EU regulation on aquaculture statistics.
13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure.
13.1. Overall accuracy Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components.
The accuracy of source data might vary, it is checked by comparing data of previous periods.
The type of survey and the data collection methods ensure sufficient coverage and timeliness.
13.2. Sampling error That part of the difference between a population value and an estimate thereof, derived from a random sample, which is due to the fact that only a subset of the population is enumerated.
13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.
14. Timeliness and punctuality
14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.
The data are published 180 days after the end of the reference year (T + 180).
14.2. Punctuality Time lag between the actual delivery of the data and the target date when it should have been delivered.
The data have been published at the time announced in the release calendar.
15. Coherence and comparability
15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.
Comparability is expected to be high due to the statistics regulation implemented in this subject area.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
The data are comparable over time.
15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.
15.4. Coherence - internal The extent to which statistics are consistent within a given data set.
The outputs of the statistical activity are coherent.
Total time of filling in reports of the statistical activity, working days: 4.9
Average time of filling in the reports, hours per report:
Kala- ja vähikasvatus 0.8
(data for 2016)
17.1. Data revision - policy Policy aimed at ensuring the transparency of disseminated data, whereby preliminary data are compiled that are later revised.
The data revision policy and notification of corrections are described in the dissemination policy of Statistics Estonia at https://www.stat.ee/dissemination-policy.
17.2. Data revision - practice Information on the data revision practice.
There are no planned revisions. The published data may be revised if the methodology is modified, errors are discovered, new or better data become available.
18. Statistical processing
18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.
The total population is 60 objects. Total survey has been used, which means that all enterprises whose main or secondary activity is aquaculture are included in the total population of the survey.
DATA FROM OTHER STATISTICAL ACTIVITIES
18.2. Frequency of data collection Frequency with which the source data are collected.
18.3. Data collection Systematic process of gathering data for official statistics.
Data are collected and the submission of questionnaires is monitored through eSTAT (the web channel for electronic data submission). The questionnaires have been designed for independent completion in eSTAT and include instructions and controls. The questionnaires and information about data submission are available on Statistics Estonia’s website at https://www.stat.ee/andmete-esitamine (in Estonian).
Data are collected with the official statistics annual questionnaire “Fish and crayfish farming”.
18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.
The input data are checked and, if necessary, corrected according to specified rules, and the compliance of calculated statistics with the quality requirements is checked as well: comparisons are made with previous periods, internal coherence, the coverage of the population and the response rate are checked.
18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.
In the case of missing or unreliable data, missing values are imputed according to set rules. Missing variables are imputed using previous period data of the same unit.
Variables and statistical units which were not collected but which are necessary for producing output are calculated. New variables are calculated by applying arithmetic conversion to already existing variables. This may be done repeatedly; the derived variable may, in turn, be based on previously derived variables.
Microdata are aggregated to the level necessary for analysis. This includes summation of data according to the classification and calculating various statistical measures.
The collected data are converted into statistical output. This includes calculating additional variables.
18.6. Adjustment The set of procedures employed to modify statistical data to enable it to conform to national or international standards or to address data quality differences when compiling specific data sets.