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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Institute of Agriculture Economics and Information (IAEI) |
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1.2. Contact organisation unit | Department of Agro-Environmental Policy |
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1.5. Contact mail address | Kotlářská 53, 62500, Brno, Czech Republic |
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2.1. Metadata last certified | 30/06/2023 | ||
2.2. Metadata last posted | 30/06/2023 | ||
2.3. Metadata last update | 30/06/2023 |
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3.1. Data description | |||
The collected statistics for the country cover the following data:
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3.2. Classification system | |||
3.3. Coverage - sector | |||
3.4. Statistical concepts and definitions | |||
3.5. Statistical unit | |||
3.6. Statistical population | |||
3.7. Reference area | |||
Czech Republic |
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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). |
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3.9. Base period | |||
Not applicable. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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). |
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8.2. Release calendar access | |||
Calendar is not available |
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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. |
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A comprehensive report is published once a year. |
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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. |
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10.2. Dissemination format - Publications | |||
https://eagri.cz/public/web/mze/zemedelstvi/ekologicke-zemedelstvi/dokumenty-statistiky-formulare/rocenky/ |
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10.3. Dissemination format - online database | |||
No online database |
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10.3.1. Data tables - consultations | |||
Not applicable |
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10.4. Dissemination format - microdata access | |||
Microdata is not distributed. |
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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. |
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10.5.1. Metadata - consultations | |||
Not applicable. |
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10.6. Documentation on methodology | |||
We only have internal working methodological documents created for our institution's own use. |
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10.6.1. Metadata completeness - rate | |||
Not applicable. |
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10.7. Quality management - documentation | |||
Quality documents are not available. |
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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. |
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11.2. Quality management - assessment | |||
We do not perform quality assessment. |
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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. |
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12.2. Relevance - User Satisfaction | |||
User opinions on statistical outputs are not ascertained. |
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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. |
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12.3.1. Data completeness - rate | |||
We provide data for 100% of the cells that are required by the agreement |
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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. |
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13.2. Sampling error | |||
We do not have a sample. we manage to collect data from about 95% of subjects. |
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13.2.1. Sampling error - indicators | |||
Coefficient of variation is not available. |
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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. |
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13.3.1. Coverage error | |||
I believe that 95% coverage is sufficient. |
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13.3.1.1. Over-coverage - rate | |||
We don't have an overlap rate. |
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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.) |
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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. |
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13.3.3. Non response error | |||
Data for all mandatory data is successfully collected. |
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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.
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13.3.3.2. Item non-response - rate | |||
0 % |
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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. |
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13.3.5. Model assumption error | |||
Not applicable. |
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14.1. Timeliness | |||
See concepts below. |
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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. |
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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. |
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14.2. Punctuality | |||
See concepts below. |
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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. |
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15.1. Comparability - geographical | |||
The Czech Republic is a small country, we have no problem with comparability of data between regions. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | |||
Not applicable. |
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15.2. Comparability - over time | |||
The time series has not been broken in the last five years. |
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15.2.1. Length of comparable time series | |||
Data collection takes place from the beginning of the data collection request without interruption. |
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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). |
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15.3.1. Coherence - sub annual and annual statistics | |||
Not applicable. |
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15.3.2. Coherence - National Accounts | |||
Not applicable. |
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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. |
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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
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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). |
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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. |
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17.2.1. Data revision - average size | |||
Not applicable. |
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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. |
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18.2. Frequency of data collection | |||
All farm production data is collected continuously. |
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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. |
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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 |
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18.5. Data compilation | |||
Editing is in progress, but I can't describe it in such detail. |
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18.5.1. Imputation - rate | |||
0 % |
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18.6. Adjustment | |||
We do not use other procedures. |
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18.6.1. Seasonal adjustment | |||
Not applicable. |
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