Organic farming (org)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Institute of Agriculture Economics and Information (IAEI)


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)



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1. Contact Top
1.1. Contact organisation

Institute of Agriculture Economics and Information (IAEI)

1.2. Contact organisation unit

Department of Agro-Environmental Policy

1.5. Contact mail address

Kotlářská 53, 62500, Brno, Czech Republic


2. Metadata update Top
2.1. Metadata last certified 30/06/2023
2.2. Metadata last posted 30/06/2023
2.3. Metadata last update 30/06/2023


3. Statistical presentation Top
3.1. Data description

The collected statistics for the country cover the following data:

  • Certified registered organic operators (referring to their main or secondary activity) (expressed in number of operators)
  • Certified registered organic processors who manufacture organic products (as their main or secondary activity) (expressed in number of processors)
  • Certified organic crop area (under conversion and fully converted) (expressed in hectares)
  • Certified organic crop production from fully converted area (expressed in 1 000 kg)
  • Certified organic livestock (expressed in heads of live animals)
  • Production of certified organic products of animal origin (expressed in 1 000 kg of carcass weight and in thousand eggs)
  • Production of certified organic milk products (Produced on farms or Processed on farms or by dairy enterprises) and Honey and products of bee-keeping (expressed in 1 000 kg of products obtained)
  • Certified organic aquaculture sold by producers (expressed in 1 000 kg live weight)
3.2. Classification system

See ESS Agreement on Organic Production Statistics

3.3. Coverage - sector

See Organic farming Metadata

3.4. Statistical concepts and definitions

See Organic farming Metadata

3.5. Statistical unit

See Organic farming Metadata

3.6. Statistical population

See Organic farming Metadata

3.7. Reference area

Czech Republic

3.8. Coverage - Time

The data has been available since 2012. Some data even earlier, but their correctness is questionable (the collection was just beginning, the methodology was being tested).

3.9. Base period

Not applicable.


4. Unit of measure Top
  • Certified registered organic operators (referring to their main or secondary activity) (expressed in number of operators)
  • Certified registered organic processors who manufacture organic products (as their main or secondary activity) (expressed in number of processors)
  • Certified organic crop area (under conversion and fully converted) (expressed in hectares)
  • Certified organic crop production from fully converted area (expressed in 1 000 kg)
  • Certified organic livestock (expressed in heads of live animals)
  • Production of certified organic products of animal origin (expressed in 1 000 kg of carcass weight and in thousand eggs)
  • Production of certified organic milk products (Produced on farms or Processed on farms or by dairy enterprises) and Honey and products of bee-keeping (expressed in 1 000 kg of products obtained)
  • Certified organic aquaculture sold by producers (expressed in 1 000 kg live weight)


5. Reference Period Top

Data are collected during the calendar year (production, number of animals). This is the average state during the year. Data on the number of entities (processors, etc.) is the status as of December 31 of the given year.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

An informal agreement between the Ministry of Agriculture and our institution to collect and evaluate data. Every year, the Ministry issues an instruction on the processing of statistical data.

6.2. Institutional Mandate - data sharing

An informal agreement between the Ministry of Agriculture, the Czech Statistical Office and our institution that we will collect data on organic farming.


7. Confidentiality Top
7.1. Confidentiality - policy

Procedures: personal data is collected and stored in a secure storage to prevent its leakage. A limited number of employees work with the data. Individual data is not provided to anyone - only aggregate data is always provided.

7.2. Confidentiality - data treatment

Information obtained from individual data are always further provided in an aggregated form.We consider this to be sufficient protection.


8. Release policy Top
8.1. Release calendar

There is no calendar. The outputs are processed into the Statistical Report on Organic Agriculture (processed in September of the given year). The Ministry of Agriculture will subsequently publish this. From this report, the Ministry of Agriculture further prepared the Yearbook of Organic Agriculture (a publication better prepared for the public).

8.2. Release calendar access

Calendar is not available

8.3. Release policy - user access

Aggregated data obtained from data collection is processed into the Statistical Report of Organic Agriculture, which is processed by our institution for the Ministry of Agriculture. The numbers obtained through data collection are supplemented with texts regarding year-on-year changes, a description of the development of the situation, etc. The publication of the report and possible reworking into another publication (Yearbook of Organic Agriculture) is the responsibility of the Ministry. The publications are then public and are published on the website of the Ministry of Agriculture. link: https://eagri.cz/public/web/mze/zemedelstvi/ekologicke-zemedelstvi/dokumenty-statistiky-formulare/rocenky/. These regular reports have part of the data translated into English.

 
 


9. Frequency of dissemination Top

A comprehensive report is published once a year.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Aready mentioned in the previous columns.Press releases and ad hoc reports are usually not. If so, they are in charge of the ministry and not our institution.

10.2. Dissemination format - Publications

https://eagri.cz/public/web/mze/zemedelstvi/ekologicke-zemedelstvi/dokumenty-statistiky-formulare/rocenky/

 
10.3. Dissemination format - online database

No online database

10.3.1. Data tables - consultations

Not applicable

10.4. Dissemination format - microdata access

Microdata is not distributed.

10.5. Dissemination format - other

Aggregated data are also provided to the Czech Environmental Information Agency (CENIA) - they then publish the data in the form of graphs or tables. And we also provide data for FIBL, which will further process the data for the needs of the World Yearbook of Organic Agriculture.

10.5.1. Metadata - consultations

Not applicable.

10.6. Documentation on methodology

We only have internal working methodological documents created for our institution's own use.

10.6.1. Metadata completeness - rate

Not applicable.

10.7. Quality management - documentation

Quality documents are not available.


11. Quality management Top
11.1. Quality assurance

I am not informed that our institution has any official system regarding quality. We are primarily engaged in research and supplying data for the Ministry.

11.2. Quality management - assessment

We do not perform quality assessment.


12. Relevance Top
12.1. Relevance - User Needs

Data users: Ministry of Agriculture (most important) FIBL - data for the World Yearbook of Organic Agriculture General public - students (use in diploma reports), company representatives, agricultural subjects Our organization - data used as a basis for other tasks, modeling, etc.

12.2. Relevance - User Satisfaction

User opinions on statistical outputs are not ascertained.

12.3. Completeness

We are trying to fulfill the terms of the ESS agreement as best we can with regard to the current data collection system.

12.3.1. Data completeness - rate

We provide data for 100% of the cells that are required by the agreement


13. Accuracy Top
13.1. Accuracy - overall

We collect production data for approximately 95% of agricultural entities, so the coverage is considerable. Errors may occur when transcribing data into the online questionnaire. We are trying to identify the differences that arise compared to the previous year. If the difference is large, we verify the data. It is not possible to verify all data, we only focus on large differences in production and areas.

13.2. Sampling error

We do not have a sample. we manage to collect data from about 95% of subjects.

13.2.1. Sampling error - indicators

Coefficient of variation is not available.

13.3. Non-sampling error

coverage error: no, we have 95% of the population covered Measurement error: Respondent and interviewer influence can be large. We conduct annual training for new interviewers and update the data collection methodology that is available to all. No response error: 5% of respondents fail to collect data (they refuse to provide data or they do not receive a check during which collection is in progress) Processing error: During processing, we try to minimize errors through multi-level control (one worker processes and checks the data, then another worker performs the check). Model assumption error: we are not using the model. If data from an important respondent (importance in terms of production) is missing, we ask farms directly or use data from the previous year.

13.3.1. Coverage error

I believe that 95% coverage is sufficient.

13.3.1.1. Over-coverage - rate

We don't have an overlap rate.

13.3.1.2. Common units - proportion

The survey is used for 90% (production, numbers of animals, crop area). Administrative data make up 10% (numbers of subjects - processors, merchants, etc.)

13.3.2. Measurement error

It is described in part in the previous parts of the report. Interviewers are being trained and the methodology is being updated. A control regarding crop areas will be newly introduced (administrative data from LPIS will be used more) - preparation for providing data for SAIO. The biggest problem is the large sample of respondents (95% of the population). It is difficult to get feedback on all discrepancies and have the data confirmed.

13.3.3. Non response error

Data for all mandatory data is successfully collected.

13.3.3.1. Unit non-response - rate
About 5% of the population will fail to get data, but this does not affect the fact that all the required data in the tables are answered.
 
13.3.3.2. Item non-response - rate

0 %

13.3.4. Processing error

I think some of the bug questions are pretty repetitive in the report. It was already described in previous columns, including efforts to correct it.

13.3.5. Model assumption error

Not applicable.


14. Timeliness and punctuality Top
14.1. Timeliness

See concepts below.

14.1.1. Time lag - first result

Data on the number of subjects (farmers, processors, traders) are available online on any day after the reference period. Data on production, areas and numbers of animals are available to the public approximately 10 months after the reference period. 

14.1.2. Time lag - final result

Preliminary production data is not previously published. Final data on the number of subjects (farmers, processors, traders) are available online on any day after the reference period. Data on production, areas and numbers of animals are available to the public approximately 10 months after the reference period. 

14.2. Punctuality

See concepts below.

14.2.1. Punctuality - delivery and publication

The time from delivery of data to their publication for Eurostat is approximately 6 months. Some data are delivered earlier, but their review only begins collectively after all data has been delivered.


15. Coherence and comparability Top
15.1. Comparability - geographical

The Czech Republic is a small country, we have no problem with comparability of data between regions. 

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

15.2. Comparability - over time

The time series has not been broken in the last five years.

15.2.1. Length of comparable time series

Data collection takes place from the beginning of the data collection request without interruption.

15.3. Coherence - cross domain

Data coherence with IFS and other statistics cannot be fully ensured due to methodological differences (thresholds used in IFS, different timing of both data collections). 

15.3.1. Coherence - sub annual and annual statistics

Not applicable.

15.3.2. Coherence - National Accounts

Not applicable.

15.4. Coherence - internal

The data set for collecting data on production, areas and numbers of animals has its own collection methodology. The data set for the number of entities (farmers, processors, traders, etc.) also has its own methodology.


16. Cost and Burden Top

Costs: Realization of collection at organic farmers EUR 25,000, Data processing and control at our institution: 5 000 EUR

 Burden: half a day per respondentThere are approximately 4,800 respondents


17. Data revision Top
17.1. Data revision - policy

A revision of the data collection is planned in view of the approaching start of the validity of the SAIO. A change in the collection system of some data is being considered due to less burden for respondents to start other sources (especially crop area, which is also newly collected for organic entities through LPIS).

17.2. Data revision - practice

Revisions of data already reviewed and submitted are not performed and there are no plans to do so.The plan is to revise crop area data in 2023 and compare with another data source that would allow less burden on respondents.

17.2.1. Data revision - average size

Not applicable.


18. Statistical processing Top
18.1. Source data

Data on plant production, including crop areas, and data on animal production and animal numbers come only from a survey among individual farmers. The sample is 95% of the population.

18.2. Frequency of data collection

All farm production data is collected continuously. 

18.3. Data collection

Surveys on farms are carried out by counter organizations and their staff. During the inspection of the farm, they will ask questions in the prepared questionnaire and then transfer the information to the online questionnaire. The data from the online questionnaire is then exported in the form of tables and further processing takes place.The collection of data on the number of entities (processors, traders, etc.) is of an administrative nature and a special register, the Register of Ecological Entrepreneurs, managed by the Ministry of Agriculture, is intended for this purpose. Our institution will then use the export of data from this register, with which we continue to work.It is not possible to send and provide access to the online data processing system. The paper form of the questionnaire (word) is only available in the Czech language.

18.4. Data validation

Checking that the population coverage and response rate meet the requirements: it does, we have a 95% sample Comparison of statistics with previous data collections: this is in progress Investigation of irregularities in statistics: this is ongoing, suspiciously high or, conversely, low data are being verified Verification of statistics against expectations and domain intelligence (detection of outliers): suspiciously high or, conversely, low data are verified

18.5. Data compilation

Editing is in progress, but I can't describe it in such detail.

18.5.1. Imputation - rate

0 %

18.6. Adjustment

We do not use other procedures.

18.6.1. Seasonal adjustment

Not applicable.


19. Comment Top


Related metadata Top


Annexes Top