1.1. Contact organisation
Czech Statistical Office
1.2. Contact organisation unit
Agricultural and Forestry, Industrial, Construction, and Energy Statistics Department
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
Czech Statistical Office
Agricultural and Forestry, Industrial, Construction, and Energy Statistics Department
Na padesátém 81
CZ-100 82 Praha 10
Czech Republic
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
Confidential because of GDPR
2.1. Metadata last certified
10 June 2025
2.2. Metadata last posted
12 June 2025
2.3. Metadata last update
10 June 2025
3.1. Data description
The data describe the structure of agricultural holdings providing the general characteristics of farms and farmers and information on their land, livestock and labour force. They also describe production methods, rural development measures and agro-environmental aspects that look at the impact of agriculture on the environment.
The data are used by public, researchers, farmers and policy-makers to better understand the state of the farming sector and the impact of agriculture on the environment. The data follow up the changes in the agricultural sector and provide a basis for decision-making in the Common Agricultural Policy (CAP) and other European Union policies.
The statistical unit is the agricultural holding (farm). The aggregated results are disseminated through statistical tables. The data are presented at different geographical levels and over periods.
The data collections are organised in line with Regulation (EU) 2018/1091 and have a new structure, consisting of a core data set and several modules. The regulation covers the data collections in 2019/2020 (the agricultural census), 2023 and 2026. The data are as comparable and coherent as possible with the other European countries.
3.2. Classification system
Data are arranged in tables using many classifications. Please find below information on most classifications.
The classifications of variables are available in Annex III of Regulation (EU) 2018/1091 and in Commission Implementing Regulation (EU) 2021/2286.
The farm typology means a uniform classification of the holdings based on their type of farming and their economic size. Both are determined on the basis of the standard gross margin (SGM) (until 2007) or standard output (SO) (from 2010 onward) which is calculated for each crop and animal. The farm type is determined by the relative contribution of the different productions to the total standard gross margin or the standard output of the holding.
The territorial classification uses the NUTS classification to break down the regional data. The regional data is available at NUTS level 2.
3.3. Coverage - sector
The statistics cover agricultural holdings undertaking agricultural activities as listed in item 3.5 below and meeting the minimum coverage requirements (thresholds) as listed in item 3.6 below.
3.4. Statistical concepts and definitions
The list of core variables is set in Annex III of Regulation (EU) 2018/1091.
The descriptions of the core variables as well as the lists and descriptions of the variables for the modules collected in 2023 are set in Commission Implementing Regulation (EU) 2021/2286.
The following groups of variables are collected in 2023:
- for core: location of the holding, legal personality of the holding, manager, type of tenure of the utilised agricultural area, variables of land, organic farming, irrigation on cultivated outdoor area, variables of livestock, organic production methods applied to animal production;
- for the module "Labour force and other gainful activities": farm management, family labour force, non-family labour force, other gainful activities directly and not directly related to the agricultural holding;
- for the module "Rural development": support received by agricultural holdings through various rural development measures;
- for the module “Soil management practices”: tillage methods, soil cover on arable land, crop rotation on arable land, ecological focus area;
- for the module “Machinery and equipment”: internet facilities, basic machinery, use of precision farming, machinery for livestock management, storage for agricultural products, equipment used for production of renewable energy on agricultural holdings;
- for the module “Orchards”: apples area and apricots area, each one by age of plantation and density of trees.
3.5. Statistical unit
See sub-category below.
3.5.1. Definition of agricultural holding
The agricultural holding is a single unit, both technically and economically, that has a single management and that undertakes economic activities in agriculture in accordance with Regulation (EC) No 1893/2006 belonging to groups:
- A.01.1: Growing of non-perennial crops
- A.01.2: Growing of perennial crops
- A.01.3: Plant propagation
- A.01.4: Animal production
- A.01.5: Mixed farming or
- The “maintenance of agricultural land in good agricultural and environmental condition” of group A.01.6 within the economic territory of the Union, either as its primary or secondary activity.
Regarding activities of class A.01.49, only the activities “Raising and breeding of semi-domesticated or other live animals” (with the exception of raising of insects) and “Bee-keeping and production of honey and beeswax” are included.
3.6. Statistical population
See sub-categories below.
3.6.1. Population covered by the core data sent to Eurostat (main frame and if applicable frame extension)
The thresholds of agricultural holdings are available in the annex.
Annexes:
3.6.1. Thresholds of agricultural holdings
3.6.1.1. Raised thresholds compared to Regulation (EU) 2018/1091
No3.6.1.2. Lowered and/or additional thresholds compared to Regulation (EU) 2018/1091
No3.6.2. Population covered by the data sent to Eurostat for the modules “Labour force and other gainful activities”, “Rural development” and “Machinery and equipment”
The same population of agricultural holdings defined in item 3.6.1.
3.6.3. Population covered by the data sent to Eurostat for the module “Animal housing and manure management”
Restricted from publication
3.6.4. Population covered by the data sent to Eurostat for the module “Irrigation”
Not applicable for our country, according to Article 7(7) of Regulation (EU) 2018/1091.
3.6.5. Population covered by the data sent to Eurostat for the module “Soil management practices”
The subset of agricultural holdings defined in item 3.6.2 with arable land and/or with some elements of ecological focus areas (terraces, field margins, agroforestry, etc.) and/or drainage.
3.6.6. Population covered by the data sent to Eurostat for the module “Orchard”
The subset of agricultural holdings defined in item 3.6.2, with any of the individual orchard variables that meet the threshold specified in Article 7(5) of Regulation (EU) 2018/1091.
Only apple and apricot orchards met this threshold in our country at the date of generation the population and the sample (19 July 2023; 6 207 ha for apples and 1 035 ha for apricots); however, the resulting extrapolated value for apricot orchard area in IFS 2023 is below the threshold (918 ha).
3.6.7. Population covered by the data sent to Eurostat for the module “Vineyard”
Restricted from publication
3.7. Reference area
See sub-categories below.
3.7.1. Geographical area covered
The entire territory of the country.
3.7.2. Inclusion of special territories
Not applicable.
3.7.3. Criteria used to establish the geographical location of the holding
The location where all agricultural activities are situatedThe most important parcel by physical size
The residence of the farmer (manager) not further than 5 km straight from the farm
3.7.4. Additional information reference area
Geographical coordinates of the land parcel (registered in LPIS): 12 190 eligible holdings (90.0%);
geographical coordinates of the address point of the holding: 1 350 eligible holdings (10.0%).
3.8. Coverage - Time
Farm structure statistics in our country cover the period from 2000 onwards. Older time series are described in the previous quality reports (national methodological reports).
3.9. Base period
The 2023 data are processed (by Eurostat) with 2020 standard output coefficients (calculated as a 5-year average of the period 2018-2022). For more information, you can consult the definition of the standard output.
Two kinds of units are generally used:
- the units of measurement for the variables (area in hectares, livestock in (1000) heads or LSU (livestock units), labour force in persons or AWU (annual working units), standard output in Euro, places for animal housing etc.) and
- the number of agricultural holdings having these characteristics.
See sub-categories below.
5.1. Reference period for land variables
The use of land refers to the 12-month reference period ending on 30 September 2023. In the case of successive crops from the same piece of land, the land use refers to a crop that is harvested during the reference year, regardless of when the crop in question is sown.
5.2. Reference period for variables on irrigation and soil management practices
The 12-month period ending on 30 September 2023 for both variables on irrigation and soil management practices.
5.3. Reference day for variables on livestock and animal housing
The reference day 30 September 2023 for variables on livestock.
The animal housing variables are not applicable for 2023.
5.4. Reference period for variables on manure management
The manure management variables are not applicable for 2023.
5.5. Reference period for variables on labour force
The 12-month period ending on 30 September 2023.
5.6. Reference period for variables on rural development measures
The three-year period ending on 31 December 2023.
5.7. Reference day for all other variables
The reference day 30 September 2023.
6.1. Institutional Mandate - legal acts and other agreements
See sub-categories below.
6.1.1. National legal acts and other agreements
Legal act6.1.2. Name of national legal acts and other agreements
Act No 89/1995 Coll., on the State Statistical Service, as amended.
6.1.3. Link to national legal acts and other agreements
6.1.4. Year of entry into force of national legal acts and other agreements
1995
6.1.5. Legal obligations for respondents
Yes6.2. Institutional Mandate - data sharing
Variables on Rural Development Measures were obtained from the State Agricultural Intervention Fund.
Variables from the Detailed topic Ecological focus area were obtained from the Ministry of Agriculture (IACS + "Single Application" to the State Agricultural and Intervention Fund).
Variables from the 'Orchard' module – apples, apricots – were partly taken from the administrative data source Orchard Register maintained by the Central Institute for Supervising and Testing in Agriculture.
According to Act No 89/1995 Coll., para 9, bodies performing the State Statistical Service use data acquired or collected by Ministries and other administrative authorities under special regulations. Ministries and other administrative authorities are bound to provide them with the necessary data on their request in time and free of charge unless otherwise stated by this Act.
7.1. Confidentiality - policy
Act No 89/1995 Coll., para 16: Employees of bodies carrying out the State Statistical Service or persons processing statistical surveys or collecting data for agricultural censuses shall be subject to secrecy of confidential data they have knowledge of. To this end, they must be sworn to secrecy upon entering their employment or before they start the relevant work.
7.2. Confidentiality - data treatment
See sub-categories below.
7.2.1. Aggregated data
See sub-categories below.
7.2.1.1. Rules used to identify confidential cells
Threshold rule (The number of contributors is less than a pre-specified threshold)Dominance rule (The n largest contributions make up for more than k% of the cell total)
7.2.1.2. Methods to protect data in confidential cells
Table redesign (Collapsing rows and/or columns)Cell suppression (Completely suppress the value of some cells)
7.2.1.3. Description of rules and methods
General rules for providing data by the CZSO to third parties are based on national and EU legislation, especially on the Act No 89/1995 Coll.
The rules for provision of confidential statistical data are described in the Act No 89/1995 Coll., para 17.
Data confidentiality during dissemination is ensured by internal directive of the CZSO, which states: "Statistical information can be released in case it is produced as an aggregation of at least three subjects. Furthermore, the share of the greatest individual value cannot exceed 85 % of the total aggregation. In case of exceeding this value, the data are treated as confidential. Aggregation on a superior level must be done or another solution must be applied. The data can be released or provided to a third party on a contractual basis if the dominant subject provides a written approval to the CZSO."
“Another solution” in IFS means a complete suppression of the value of concerned cells in disseminated tables.
7.2.2. Microdata
See sub-categories below.
7.2.2.1. Use of EU methodology for microdata dissemination
Not applicable7.2.2.2. Methods of perturbation
None7.2.2.3. Description of methodology
Not applicable.
8.1. Release calendar
IFS data publications (on national and regional levels) are included in the Catalogue of Products of the CZSO, which includes all publications of the CZSO and is publicly available. The release schedule is laid down usually in the year preceding the year of publication.
The analytical evaluation of the IFS results is usually not included in the Catalogue of Products in advance, and it is added there only shortly before its release (its finalisation is difficult to predict as the analysis of the results is time-consuming and requires a cooperation with external experts).
8.2. Release calendar access
8.3. Release policy - user access
The release policy of the CZSO is laid down by Act No 89/1995 Coll., para 18.
All CZSO publications shall be disseminated at the scheduled day at 9 a.m.
There are no deviations from the general policy of the CZSO for IFS data.
All users have equal access to statistical releases at the same time.
8.3.1. Use of quality rating system
No8.3.1.1. Description of the quality rating system
Not applicable.
Every 3-4 years (depending on the survey frequency).
10.1. Dissemination format - News release
See sub-categories below.
10.1.1. Publication of news releases
Yes10.1.2. Link to news releases
The number of farmers exclusively engaged in crop production is increasing (CZ)
10.2. Dissemination format - Publications
See sub-categories below.
10.2.1. Production of paper publications
Yes, in English also10.2.2. Production of on-line publications
Yes, in English also10.2.3. Title, publisher, year and link
Integrated Farm Survey - 2023, CZSO, 2024
Integrated Farm Survey - Regions - 2023, CZSO, 2024
Integrated Farm Survey - analytical evaluation - 2023, CZSO, 2025
10.3. Dissemination format - online database
See sub-categories below.
10.3.1. Data tables - consultations
Not applicable.
10.3.2. Accessibility of online database
No10.3.3. Link to online database
Not applicable.
10.4. Dissemination format - microdata access
See sub-category below.
10.4.1. Accessibility of microdata
No10.5. Dissemination format - other
The CZSO provides “tailor-made” aggregations for research purposes if necessary.
10.5.1. Metadata - consultations
Not requested.
10.6. Documentation on methodology
See sub-categories below.
10.6.1. Metadata completeness - rate
Not requested.
10.6.2. Availability of national reference metadata
No10.6.3. Title, publisher, year and link to national reference metadata
Not applicable.
10.6.4. Availability of national handbook on methodology
No10.6.5. Title, publisher, year and link to handbook
Not applicable.
10.6.6. Availability of national methodological papers
No10.6.7. Title, publisher, year and link to methodological papers
Not applicable.
10.7. Quality management - documentation
11.1. Quality assurance
See sub-categories below.
11.1.1. Quality management system
Yes11.1.2. Quality assurance and assessment procedures
Use of best practicesDesignated quality manager, quality unit and/or senior level committee
Self-assessment
External review or audit
11.1.3. Description of the quality management system and procedures
The quality management system of the CZSO is described in the documents Quality Commitment and Quality policy of the CZSO (see item 10.7 for links).
Use of best practices: the CZSO employees are obliged to comply with the Ethical Code of Employees of the Czech Statistical Office, which refers to the European statistics Code of Practice. The staff of the General Methodology Department of the CZSO ensures sharing and implementation of best practices among all statistical domains.
Designated quality manager, quality unit and/or senior level committee: the Quality Committee of the CZSO is chaired by the Vice President of the CZSO and is composed of Directors of sections/departments of the CZSO and the Quality Manager. The Quality Committee, among others, analyses the input conditions for the fulfilment of all requirements arising from regulations and quality management standards, proposes specific activities to the CZSO management with a view to continuous improvement, monitors the implementation of improvements, sets processes for continuous improvement of the quality management process, strengthens the awareness of all employees of the quality principles, basic approaches and the quality management system in place, and develops the conditions for continuous improvement of the established quality management system.
Self-assessment: the CZSO employees have a duty to complete a self-assessment questionnaire annually.
External review or audit: the audit of the European Commission was conducted in 2022 and included Farm Structure Survey 2016. External auditors visited the CZSO on 7 March 2022 and the final report was published on 25 November 2022. The audit did not find any deficiencies for FSS 2016.
11.1.4. Improvements in quality procedures
No ongoing or planned procedures at the moment.
11.2. Quality management - assessment
The IFS data are provided in accordance with all legal regulations and recommendations.
The quality of the data is assessed and guaranteed by the CZSO.
The overall assessment of the data quality is good.
12.1. Relevance - User Needs
Main users: Ministry of Agriculture, Institute of Agricultural Economy and Information, Research Institute of Agricultural Engineering, and other relevant institutions; Agrarian Chamber of the Czech Republic and other professional organisations; university researchers and students; journalists.
Main groups of variables needed: cannot be specified.
Purposes: further analyses of the IFS results, forming of national agricultural policies, scientific purposes, informing the public.
12.1.1. Main groups of variables collected only for national purposes
Variables not requested by Regulation (EU) 2018/1091 but included in the IFS 2023 questionnaire were:
- Milk ewes and ewe-lambs, and
- Rabbits, other than breeding females.
These two variables are required under the SAIO Regulation (Regulation (EU) 2022/2379) and no other data source than IFS can be used for their collection. We have added them to the IFS 2023 data collection in order to have a preliminary information on these two variables.
12.1.2. Unmet user needs
Unknown
12.1.3. Plans for satisfying unmet user needs
None at the moment.
12.2. Relevance - User Satisfaction
No procedures to measure user satisfaction were used.
12.2.1. User satisfaction survey
No12.2.2. Year of user satisfaction survey
Not applicable.
12.2.3. Satisfaction level
Not applicable12.3. Completeness
Information on not collected, not-significant and not-existent variables is available on Eurostat’s website, at the link: Additional data - Eurostat (europa.eu).
12.3.1. Data completeness - rate
Not applicable for Integrated Farm Statistics as the not collected variables, not-significant variables and not-existent variables are completed with 0.
13.1. Accuracy - overall
See categories below.
13.2. Sampling error
See sub-categories below.
13.2.1. Sampling error - indicators
Please find the relative standard errors on Eurostat’s website, at the link: CircaBC website.
13.2.2. Reasons for non-compliant precision requirements in relation to Regulation (EU) 2018/1091
No cases where precision requirements are applicable and estimated RSEs are above the thresholds occurred in IFS 2023.
13.2.3. Reference on method of estimation
All calculations were carried out by SAS Enterprise Guide 5.1. software.
See the formula in the annex.
Annexes:
13.2.3. Methodology used to calculate relative standard errors
13.2.4. Impact of sampling error on data quality
Low13.3. Non-sampling error
See sub-categories below.
13.3.1. Coverage error
See sub-categories below.
13.3.1.1. Over-coverage - rate
The over-coverage rate is available on Eurostat’s website, at the link: CircaBC.
The over-coverage rate is unweighted.
The over-coverage rate is calculated as the share of ineligible holdings to the holdings designated for the core data collection. The ineligible holdings include those holdings with unknown eligibility status that are not imputed nor re-weighted for (therefore considered ineligible).
The over-coverage rate is calculated over the holdings in the main frame and if applicable frame extension, for which core data are sent to Eurostat.
13.3.1.1.1. Types of holdings included in the frame but not belonging to the population of the core (main frame and if applicable frame extension)
Below thresholds during the reference periodTemporarily out of production during the reference period
Ceased activities
Merged to another unit
13.3.1.1.2. Actions to minimize the over-coverage error
Removal of ineligible units from the records, leaving unchanged the weights for the other units13.3.1.1.3. Additional information over-coverage error
Not available.
13.3.1.2. Common units - proportion
Not requested.
13.3.1.3. Under-coverage error
See sub-categories below.
13.3.1.3.1. Under-coverage rate
In total, 34 holdings (0.2%), which were not included in the population/sample, were found during the survey and added to the population/sample.
13.3.1.3.2. Types of holdings belonging to the population of the core but not included in the frame (main frame and if applicable frame extension)
New birthsNew units derived from split
13.3.1.3.3. Actions to minimise the under-coverage error
Update of the Farm Register immediately before the survey; inclusion of newly found holdings in the population/sample.
13.3.1.3.4. Additional information under-coverage error
Not available.
13.3.1.4. Misclassification error
Yes13.3.1.4.1. Actions to minimise the misclassification error
During calculation of relative standard errors, 1 720 units showing extreme values were identified; their weight was changed to 1 and the units were moved to 100% stratum.
13.3.1.5. Contact error
Yes13.3.1.5.1. Actions to minimise the contact error
Call-back strategies; written/telephone reminders; follow-up interviews with respondents who have completed the questionnaires only partly.
13.3.1.6. Impact of coverage error on data quality
Low13.3.2. Measurement error
See sub-categories below.
13.3.2.1. List of variables mostly affected by measurement errors
Not available.
13.3.2.2. Causes of measurement errors
Respondents’ inability to provide accurate answers13.3.2.3. Actions to minimise the measurement error
Explanatory notes or handbooks for enumerators or respondentsOn-line FAQ or Hot-line support for enumerators or respondents
Training of enumerators
13.3.2.4. Impact of measurement error on data quality
Low13.3.2.5. Additional information measurement error
The questionnaire used in IFS 2023 was very similar to that used in IFS 2020 and preceding FSSs so the risk that the respondents did not correctly understand the questions was minimised.
13.3.3. Non response error
See sub-categories below.
13.3.3.1. Unit non-response - rate
See item 13.3.1.1.
The unit non-response rate is unweighted.
The unit non-response rate is calculated as the share of eligible non-respondent holdings to the eligible holdings. The eligible holdings include those holdings with unknown eligibility status which are imputed or re-weighted for (therefore considered eligible).
The unit non-response rate is calculated over the holdings in the main frame and if applicable frame extension, for which core data are sent to Eurostat.
13.3.3.1.1. Reasons for unit non-response
Refusal to participateInability to participate (e.g. illness, absence)
13.3.3.1.2. Actions to minimise or address unit non-response
Follow-up interviewsReminders
Weighting
13.3.3.1.3. Unit non-response analysis
Unit non-response analysis was not carried out.
13.3.3.2. Item non-response - rate
All incomplete questionnaires were completed in follow-up interviews → the final item non-response rate is 0.0%.
13.3.3.2.1. Variables with the highest item non-response rate
Generally, variables on OGA are the most difficult for respondents despite our efforts to improve the methodology.
13.3.3.2.2. Reasons for item non-response
Skip of due questionFarmers do not know the answer
13.3.3.2.3. Actions to minimise or address item non-response
Follow-up interviewsReminders
13.3.3.3. Impact of non-response error on data quality
None13.3.3.4. Additional information non-response error
Not available.
13.3.4. Processing error
See sub-categories below.
13.3.4.1. Sources of processing errors
Data entry13.3.4.2. Imputation methods
None13.3.4.3. Actions to correct or minimise processing errors
Preliminary data validation using Eurostat check rules.
13.3.4.4. Tools and staff authorised to make corrections
Tools used: Dante software, MS Excel, MS Access.
Staff involved: CZSO regional staff at 14 Field Survey Units (in each regional office), staff of the Unit for Processing of Agricultural and Forestry Indicators in Kind, and staff of the Agricultural and Forestry Statistics Unit.
13.3.4.5. Impact of processing error on data quality
None13.3.4.6. Additional information processing error
Not available.
13.3.5. Model assumption error
Not applicable.
14.1. Timeliness
See sub-categories below.
14.1.1. Time lag - first result
Not applicable, because only final results are published.
14.1.2. Time lag - final result
Day of the publication of final results: 3 October 2024
Time lag = 9 months (277 days) from 31 December 2023
14.2. Punctuality
See sub-categories below.
14.2.1. Punctuality - delivery and publication
See sub-categories below.
14.2.1.1. Punctuality - delivery
Not requested.
14.2.1.2. Punctuality - publication
35 days delay between the target date (30 August) and the actual publication date (3 October).
It was caused by postponing the press conference announcing the IFS results due to the CZSO management decision; according to the CZSO internal rules, the date of publication and the date of the press conference must be the same.
15.1. Comparability - geographical
See sub-categories below.
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not applicable, because there are no mirror flows in Integrated Farm Statistics.
15.1.2. Definition of agricultural holding
See sub-categories below.
15.1.2.1. Deviations from Regulation (EU) 2018/1091
CZ collected, sent to Eurostat, and published data on agricultural holdings with the same definition as in Regulation (EU) 2018/1091.
15.1.2.2. Reasons for deviations
Not applicable.
15.1.3. Thresholds of agricultural holdings
See sub-categories below.
15.1.3.1. Proofs that the EU coverage requirements are met
| Total | Covered by the thresholds | Attained coverage | Minimum requested coverage | |
|---|---|---|---|---|
| 1 | 2 | 3=2*100/1 | 4 | |
| UAA excluding kitchen gardens | 3 548 242 | 3 521 180 | 99.24% | 98% |
| LSU | 1 443 809 | 1 599 736 | 110.80% | 98% |
The applied thresholds were the same as defined in Annex II of Regulation (EU) 2018/1091 (see items 3.6.1.1. and 3.6.1.2 and the title page of the questionnaire attached in item 18.3.3).
The coverage of LSU above 100% can be explained by time bias between the day of creating the population on the basis of the Farm Register (19 July 2023) and the IFS reference day (30 September 2023). During this period, the livestock numbers increased as their births or imports from abroad were higher than their slaughtering or exports abroad.
15.1.3.2. Differences between the national thresholds and the thresholds used for the data sent to Eurostat
The thresholds applied for the national data collection are the same as the thresholds applied for the data sent to Eurostat.
15.1.3.3. Reasons for differences
Not applicable.
15.1.4. Definitions and classifications of variables
See sub-categories below.
15.1.4.1. Deviations from Regulation (EU) 2018/1091 and EU handbook
A. Definitions according to Regulation (EU) 2018/1091, Commission Implementing Regulation (EU) 2021/2286, and the EU Handbook in the data submitted to Eurostat but different from the Handbook in the data published by CZSO:
- EU handbook: hop is included in crops grown on arable land.
National level: hop-gardens are reported as permanent crops.
- EU handbook: irrigated area and all variables from the module “Soil management practices” are excluded from the area under cover.
National level: these variables include area of glasshouses, plastic houses, and areas under high accessible cover.
B. Definitions different from Regulation (EU) 2018/1091, Commission Implementing Regulation (EU) 2021/2286, and the EU Handbook in the data submitted to Eurostat - in the same way as in the Annual Crop Statistics:
- C1200 - Rye and winter cereal mixtures (maslin): includes only rye (C1210).
- C1420 - Spring cereal mixtures (mixed grain other than maslin): includes winter cereal mixtures (maslin) (C1220).
- C1500 - Grain maize and corn-cob-mix: includes only green maize.
- G3000 - Green maize: includes corn-cob-mix.
- C1900 - Other cereals n.e.c. (buckwheat, millet, canary seed, etc.): includes sorghum (C1700).
- I9000 - Other industrial crops n.e.c.: includes fibre flax (I2100).
15.1.4.1.1. The number of working hours and days in a year corresponding to a full-time job
The information is available on Eurostat’s website, at the link: CircaBC.
The number of working hours and days in a year for a full-time job correspond to one annual working unit (AWU) in the country. One annual work unit corresponds to the work performed by one person who is occupied on an agricultural holding on a full-time basis. Annual working units are used to calculate the farm work on the agricultural holdings.
15.1.4.1.2. Point chosen in the Annual work unit (AWU) percentage band to calculate the AWU of holders, managers, family and non-family regular workers
See item 15.1.4.1.1.
15.1.4.1.3. AWU for workers of certain age groups
See item 15.1.4.1.1.
15.1.4.1.4. Livestock coefficients
LSU coefficients are the same as in Regulation (EU) 2018/1091.
15.1.4.1.5. Livestock included in “Other livestock n.e.c.”
There are no differences from the EU handbook.
15.1.4.2. Reasons for deviations
Different national methodologies for variables reported under 15.1.4.1. are given by the Act No 252/1997 Coll., on agriculture, as amended, or by subsidiary legal acts, and/or by further requirements of national users.
15.1.5. Reference periods/days
See sub-categories below.
15.1.5.1. Deviations from Regulation (EU) 2018/1091
The reference periods/days are the same as in Regulation (EU) 2018/1091.
15.1.5.2. Reasons for deviations
Not applicable.
15.1.6. Common land
The concept of common land does not exist15.1.6.1. Collection of common land data
Not applicable15.1.6.2. Reasons if common land exists and data are not collected
Not applicable.
15.1.6.3. Methods to record data on common land
Not applicable15.1.6.4. Source of collected data on common land
Not applicable15.1.6.5. Description of methods to record data on common land
Not applicable.
15.1.6.6. Possible problems in relation to the collection of data on common land and proposals for future data collections
Not applicable.
15.1.7. National standards and rules for certification of organic products
See sub-categories below.
15.1.7.1. Deviations from Council Regulation (EC) No 834/2007
There are no differences from neither Council Regulation (EC) No 834/2007 nor Regulation (EU) 2018/848 (newly in force).
15.1.7.2. Reasons for deviations
Not applicable.
15.1.8. Differences in methods across regions within the country
There are no differences across regions.
15.2. Comparability - over time
See sub-categories below.
15.2.1. Length of comparable time series
2
15.2.2. Definition of agricultural holding
See sub-categories below.
15.2.2.1. Changes since the last data transmission to Eurostat
There have been no changes15.2.2.2. Description of changes
Not applicable.
15.2.3. Thresholds of agricultural holdings
See sub-categories below.
15.2.3.1. Changes in the thresholds of holdings for which core data are sent to Eurostat since the last data transmission
There have been no changes15.2.3.2. Description of changes
Not applicable.
15.2.4. Geographical coverage
See sub-categories below.
15.2.4.1. Change in the geographical coverage since the last data transmission to Eurostat
There have been no changes15.2.4.2. Description of changes
Not applicable.
15.2.5. Definitions and classifications of variables
See sub-categories below.
15.2.5.1. Changes since the last data transmission to Eurostat
There have been some changes but not enough to warrant the designation of a break in series15.2.5.2. Description of changes
Variables of land:
Definitions of several variables were changed in order to reconcile them with the Annual Crop statistics:
C1200 - Rye and winter cereal mixtures (maslin): includes only rye (C1210).
C1420 - Spring cereal mixtures (mixed grain other than maslin): includes winter cereal mixtures (maslin) (C1220).
C1500 - Grain maize and corn-cob-mix: includes only green maize.
G3000 - Green maize: includes corn-cob-mix.
C1900 - Other cereals n.e.c. (buckwheat, millet, canary seed, etc.): includes sorghum (C1700).
I9000 - Other industrial crops n.e.c.: includes fibre flax (I2100).
Areas designated as facing natural constraints under Regulation (EU) No 1305/2013:
In IFS 2020, the list of ANC territorial units was given by Government Regulation No 43/2018. As for IFS 2023, this list has been changed by Government Regulation No 61/2023.
15.2.6. Reference periods/days
See sub-categories below.
15.2.6.1. Changes since the last data transmission to Eurostat
There have been no changes15.2.6.2. Description of changes
Not applicable.
15.2.7. Common land
See sub-categories below.
15.2.7.1. Changes in the methods to record common land since the last data transmission to Eurostat
There have been no changes15.2.7.2. Description of changes
Not applicable.
15.2.8. Explanations for major trends of main variables compared to the last data transmission to Eurostat
The absolute number of holdings in Czechia increased from 2020 to 2023. The number of especially small (family) agricultural holdings really increased between 2020 and 2023. The main reasons were:
- CZ updated the Farm Register during 2002-2023 on the basis of LPIS and of lists of holdings that have applied for subsidies in agriculture.
- The farmers who started to run their family farms in 1990’s are getting retired and these farms are being divided between/among their ancestors more likely than there is only one inheritor of the whole farm.
The comparison between 2020 and 2023 in the crops and livestock, pointed out some discrepancies:
Data for arable land crops (except for V0000_S0000TK and V0000_S0000S) and Q0000T were checked against ACS results and the trends are the same.
Such a comparison was not possible for UAA types (different categories), livestock numbers (different reference days together with high interannual variability), other land types and OGA variables (no other data sources).
Variable W1200T was not surveyed and reported as NSNE in 2023.
The fact that IFS 2020 was a census while IFS 2023 was a sample survey, where sampling errors may have occurred, could have contributed to the variations as well.
With regards to the number of holdings having LSU, their number shrunk remarkably in 2023, compared to 2020.
Overall, Czech farms in 2022 although decreased their average and median UAA area and LSU, managed to increase their median and average SO_EURO, this was also due to remarkable increase in productions of PECR9_H9000T and X0000T.
15.2.9. Maintain of statistical identifiers over time
Yes15.3. Coherence - cross domain
See sub-categories below.
15.3.1. Coherence - sub annual and annual statistics
Not applicable to Integrated Farm Statistics, because there are no sub annual data collections in agriculture.
15.3.2. Coherence - National Accounts
Not applicable, because Integrated Farm Statistics have no relevance for national accounts.
15.3.3. Coherence at micro level with data collections in other domains in agriculture
See sub-categories below.
15.3.3.1. Analysis of coherence at micro level
No15.3.3.2. Results of analysis at micro level
No analysis of coherence at micro level was conducted due to lack of time and human resources.
15.3.4. Coherence at macro level with data collections in other domains in agriculture
See sub-categories below.
15.3.4.1. Analysis of coherence at macro level
Yes15.3.4.2. Results of analysis at macro level
Coherence cross-domain: IFS vs ANIMAL PRODUCTION
The livestock numbers in IFS and ANI are not fully comparable. There are differences in the frames of both surveys, populations and sampling procedures, and different reference day together with interannual variability.
At the NUTS 2 level, changes in ownership of livestock or moving of the holdings’ headquarters among regions could also happen during the time period between both reference days.
Coherence cross-domain: IFS vs ORGANIC ANIMAL PRODUCTION
As well as in the comparison of IFS and ANI data, also for A2000_ORG, A4100_ORG and A4200_ORG, the livestock numbers in IFS and ORG are not fully comparable. There are differences in the frames of both surveys, populations and sampling procedures, and different reference day together with interannual variability.
15.4. Coherence - internal
The data are internally consistent. This is ensured by the application of a wide range of validation rules.
See sub-categories below.
16.1. Coordination of data collections in agricultural statistics
Data from the annual Sown areas of crops survey were used in IFS 2023 for respondents included in both surveys.
16.2. Efficiency gains since the last data transmission to Eurostat
On-line surveysIncreased use of administrative data
Other
16.2.1. Additional information efficiency gains
Lowered burden for respondents included in both IFS and the Sown areas of crops surveys.
16.3. Average duration of farm interview (in minutes)
See sub-categories below.
16.3.1. Core
Not available.
16.3.2. Module ‘Labour force and other gainful activities‘
Not available.
16.3.3. Module ‘Rural development’
Not relevant (administrative data source).
16.3.4. Module ‘Animal housing and manure management’
Restricted from publication
16.3.5. Module ‘Irrigation’
Not applicable (exemption from data collection).
16.3.6. Module ‘Soil management practices’
Not available.
16.3.7. Module ‘Machinery and equipment’
Not available.
16.3.8. Module ‘Orchard’
Not available.
16.3.9. Module ‘Vineyard’
Restricted from publication
17.1. Data revision - policy
General revision policy of the CZSO is described in the document CZSO Data Revision Policy.
The IFS data are final when first released and are not subject to revision.
In case that errors are found in the disseminated data, corrected online data shall be published after the approval of the Director of concerned statistical department and the Director of Information Services Department. The piece of information that the data were updated (together with the date of the update) must be added. However, revised paper publications cannot be released due to technical reasons.
According to the CZSO Data Revision Policy, point 3.5, such revision may be carried out in February Y+3y, at the latest.
Y+3y shall mean 3 years after the end of the reference period. IFS belongs to Annual and Long-Term Business Statistics of Respective Industries.
17.2. Data revision - practice
There are no revisions to report for IFS 2023.
17.2.1. Data revision - average size
Not requested.
18.1. Source data
See sub-categories below.
18.1.1. Sampling design & Procedure frame
See sub-categories below.
18.1.1.1. Type of frame
List frame18.1.1.2. Name of frame
Farm Register
18.1.1.3. Update frequency
Continuous18.1.2. Core data collection on the main frame
See sub-categories below.
18.1.2.1. Coverage of agricultural holdings
Sample18.1.2.2. Sampling design
The sample was defined as stratified random sample from the population based on affiliation of each unit to defined grossing-up group (stratum). Specific sampling rates for all units in a group (stratum) were assigned to each stratum. Units with a sampling rate under 100% were selected from the population using random sampling without replication. The units selected were not put back to the population, i.e. every unit could have been chosen only once. In consequence, the probability of selection of units in the population changed after each sampling.
NUTS 3 level was used for as unit location criterion in the stratification.
18.1.2.2.1. Name of sampling design
Stratified one-stage random sampling18.1.2.2.2. Stratification criteria
Unit sizeUnit location
Unit legal status
18.1.2.2.3. Use of systematic sampling
No18.1.2.2.4. Full coverage strata
All holdings having:
- either 100.00 ha and more of UAA,
- or 25 LSU and more,
- or 40 head of poultry and more,
- or 20 head of sheep and more,
- or 5 head of goats and more,
- or 1.50 ha of vineyards and more,
- or 2.00 ha of orchard and more,
- or 1.10 ha of vegetables and more,
- or 0.30 ha of flowers and more,
- or 0.30 ha of strawberries and more.
18.1.2.2.5. Method of determination of the overall sample size
Gross sample size: 14 557 holdings.
Variables used to calculate the standard deviation within strata (for the optimal allocation): size of the holding (UAA, LSU); different costs across strata were not considered.
18.1.2.2.6. Method of allocation of the overall sample size
Proportional allocation18.1.3. Core data collection on the frame extension
See sub-categories below.
18.1.3.1. Coverage of agricultural holdings
Not applicable18.1.3.2. Sampling design
Not applicable.
18.1.3.2.1. Name of sampling design
Not applicable18.1.3.2.2. Stratification criteria
Not applicable18.1.3.2.3. Use of systematic sampling
Not applicable18.1.3.2.4. Full coverage strata
Not applicable.
18.1.3.2.5. Method of determination of the overall sample size
Not applicable.
18.1.3.2.6. Method of allocation of the overall sample size
Not applicable18.1.4. Module “Labour force and other gainful activities”
See sub-categories below.
18.1.4.1. Coverage of agricultural holdings
Sample18.1.4.2. Sampling design
The same as in core (see item 18.1.2.2)
18.1.4.2.1. Name of sampling design
Stratified one-stage random sampling18.1.4.2.2. Stratification criteria
Unit sizeUnit location
Unit legal status
18.1.4.2.3. Use of systematic sampling
No18.1.4.2.4. Full coverage strata
The same as in core (see item 18.1.2.2.4)
18.1.4.2.5. Method of determination of the overall sample size
The same as in core (see item 18.1.2.2.5)
18.1.4.2.6. Method of allocation of the overall sample size
Proportional allocation18.1.4.2.7. If sampled from the core sample, the sampling and calibration strategy
Not applicable18.1.5. Module “Rural development”
See sub-categories below.
18.1.5.1. Coverage of agricultural holdings
Sample18.1.5.2. Sampling design
The same as in core (see item 18.1.2.2)
18.1.5.2.1. Name of sampling design
Stratified one-stage random sampling18.1.5.2.2. Stratification criteria
Unit sizeUnit location
Unit legal status
18.1.5.2.3. Use of systematic sampling
No18.1.5.2.4. Full coverage strata
The same as in core (see item 18.1.2.2.4)
18.1.5.2.5. Method of determination of the overall sample size
The same as in core (see item 18.1.2.2.5)
18.1.5.2.6. Method of allocation of the overall sample size
Proportional allocation18.1.5.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Not applicable18.1.6. Module “Animal housing and manure management module”
Restricted from publication
18.1.6.1. Coverage of agricultural holdings
Restricted from publication
18.1.6.2. Sampling design
Restricted from publication
18.1.6.2.1. Name of sampling design
Restricted from publication
18.1.6.2.2. Stratification criteria
Restricted from publication
18.1.6.2.3. Use of systematic sampling
Restricted from publication
18.1.6.2.4. Full coverage strata
Restricted from publication
18.1.6.2.5. Method of determination of the overall sample size
Restricted from publication
18.1.6.2.6. Method of allocation of the overall sample size
Restricted from publication
18.1.6.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Restricted from publication
18.1.7. Module ‘Irrigation’
See sub-categories below.
18.1.7.1. Coverage of agricultural holdings
Not applicable18.1.7.2. Sampling design
Not applicable.
18.1.7.2.1. Name of sampling design
Not applicable18.1.7.2.2. Stratification criteria
Not applicable18.1.7.2.3. Use of systematic sampling
Not applicable18.1.7.2.4. Full coverage strata
Not applicable.
18.1.7.2.5. Method of determination of the overall sample size
Not applicable.
18.1.7.2.6. Method of allocation of the overall sample size
Not applicable18.1.7.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Not applicable18.1.8. Module ‘Soil management practices’
See sub-categories below.
18.1.8.1. Coverage of agricultural holdings
Sample18.1.8.2. Sampling design
The same as in core (see item 18.1.2.2)
18.1.8.2.1. Name of sampling design
Stratified one-stage random sampling18.1.8.2.2. Stratification criteria
Unit sizeUnit location
Unit legal status
18.1.8.2.3. Use of systematic sampling
No18.1.8.2.4. Full coverage strata
The same as in core (see item 18.1.2.2.4)
18.1.8.2.5. Method of determination of the overall sample size
The same as in core (see item 18.1.2.2.5)
18.1.8.2.6. Method of allocation of the overall sample size
Proportional allocation18.1.8.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Not applicable18.1.9. Module ‘Machinery and equipment’
See sub-categories below.
18.1.9.1. Coverage of agricultural holdings
Sample18.1.9.2. Sampling design
The same as in core (see item 18.1.2.2)
18.1.9.2.1. Name of sampling design
Stratified one-stage random sampling18.1.9.2.2. Stratification criteria
Unit sizeUnit location
Unit legal status
18.1.9.2.3. Use of systematic sampling
No18.1.9.2.4. Full coverage strata
The same as in core (see item 18.1.2.2.4)
18.1.9.2.5. Method of determination of the overall sample size
The same as in core (see item 18.1.2.2.5)
18.1.9.2.6. Method of allocation of the overall sample size
Proportional allocation18.1.9.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Not applicable18.1.10. Module ‘Orchard’
See sub-categories below.
18.1.10.1. Coverage of agricultural holdings
Sample18.1.10.2. Sampling design
The same as in core (see item 18.1.2.2)
18.1.10.2.1. Name of sampling design
Stratified one-stage random sampling18.1.10.2.2. Stratification criteria
Unit sizeUnit location
Unit legal status
18.1.10.2.3. Use of systematic sampling
No18.1.10.2.4. Full coverage strata
The same as in core (see item 18.1.2.2.4)
18.1.10.2.5. Method of determination of the overall sample size
The same as in core (see item 18.1.2.2.5)
18.1.10.2.6. Method of allocation of the overall sample size
Proportional allocation18.1.10.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Not applicable18.1.11. Module ‘Vineyard’
Restricted from publication
18.1.11.1. Coverage of agricultural holdings
Restricted from publication
18.1.11.2. Sampling design
Restricted from publication
18.1.11.2.1. Name of sampling design
Restricted from publication
18.1.11.2.2. Stratification criteria
Restricted from publication
18.1.11.2.3. Use of systematic sampling
Restricted from publication
18.1.11.2.4. Full coverage strata
Restricted from publication
18.1.11.2.5. Method of determination of the overall sample size
Restricted from publication
18.1.11.2.6. Method of allocation of the overall sample size
Restricted from publication
18.1.11.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Restricted from publication
18.1.12. Software tool used for sample selection
SAS Enterprise Guide 4.2, using random number generator
18.1.13. Administrative sources
See sub-categories below.
18.1.13.1. Administrative sources used and the purposes of using them
The information is available on Eurostat’s website, at the link: Additional data - Eurostat (europa.eu).
18.1.13.2. Description and quality of the administrative sources
See the Excel file in the annex.
Annexes:
18.1.13.2. Description and quality of administrative sources
18.1.13.3. Difficulties using additional administrative sources not currently used
None18.1.14. Innovative approaches
The information on the innovative approaches and the quality methods applied is available on Eurostat’s website, at the link: Additional data - Eurostat (europa.eu).
18.2. Frequency of data collection
The agricultural census is conducted every 10 years. The decennial agricultural census is complemented by sample or census-based data collections organised every 3-4 years in-between.
18.3. Data collection
See sub-categories below.
18.3.1. Methods of data collection
Paper auto-questionnairePostal, non-electronic version
Postal, electronic version (email)
Face-to-face, non-electronic version
Telephone, electronic version
Use of Internet
18.3.2. Data entry method, if paper questionnaires
Manual18.3.3. Questionnaire
Please find the questionnaires (CZ and EN) in annexes.
Annexes:
18.3.3 Questionnaire in Czech
18.3.3 Questionnaire in English
18.4. Data validation
See sub-categories below.
18.4.1. Type of validation checks
Data format checksCompleteness checks
Relational checks
Comparisons with previous rounds of the data collection
18.4.2. Staff involved in data validation
InterviewersStaff from local departments
Staff from central department
18.4.3. Tools used for data validation
Step 1: Internal check rules (including linkages between inter-related parts of the questionnaire);
Step 2: Validation rules developed by Eurostat.
Software tools used: Visual FoxPro, MS Access, MS Excel
18.5. Data compilation
All core as well as module data in IFS 2023 were collected as a sample survey.
Design weights used for data compilation are included in the IFS 2023 dataset.
The adjustment of the weights to compensate for unit non-response is described in the annex to item 13.2.3.
18.5.1. Imputation - rate
Not applicable.
18.5.2. Methods used to derive the extrapolation factor
Design weightNon-response adjustment
18.6. Adjustment
Covered under Data compilation.
18.6.1. Seasonal adjustment
Not applicable to Integrated Farm Statistics, because it collects structural data on agriculture.
See sub-categories below.
19.1. List of abbreviations
ACS – Annual crop statistics
ANC – Areas designated as facing natural constraints under Regulation (EU) No 1305/2013
AWU – Annual Work Unit
CAP – Common Agricultural Policy
CISTA – Central Institute for Supervising and Testing in Agriculture
CZSO – Czech Statistical Office
EC – European Community
EU – European Union
EUROSTAT – Statistical Office of the European Communities
FSS – Farm Structure Survey
IACS – Integrated Administration and Control System
IFS – Integrated Farm Statistics
LPIS – Land Parcel Information System
LSU – Livestock unit
MoA – Ministry of Agriculture
NSNE – Non-significant and non-existent
NUTS – Nomenclature of territorial units for statistics
OGA – Other gainful activities
RDM – Rural Development Measures
RSE – Relative standard error
SAIO – Statistics on agricultural input and output
SGM – Standard Gross Margin
SO – Standard output
UAA – Utilised agricultural area
19.2. Additional comments
No additional comments.
The data describe the structure of agricultural holdings providing the general characteristics of farms and farmers and information on their land, livestock and labour force. They also describe production methods, rural development measures and agro-environmental aspects that look at the impact of agriculture on the environment.
The data are used by public, researchers, farmers and policy-makers to better understand the state of the farming sector and the impact of agriculture on the environment. The data follow up the changes in the agricultural sector and provide a basis for decision-making in the Common Agricultural Policy (CAP) and other European Union policies.
The statistical unit is the agricultural holding (farm). The aggregated results are disseminated through statistical tables. The data are presented at different geographical levels and over periods.
The data collections are organised in line with Regulation (EU) 2018/1091 and have a new structure, consisting of a core data set and several modules. The regulation covers the data collections in 2019/2020 (the agricultural census), 2023 and 2026. The data are as comparable and coherent as possible with the other European countries.
10 June 2025
The list of core variables is set in Annex III of Regulation (EU) 2018/1091.
The descriptions of the core variables as well as the lists and descriptions of the variables for the modules collected in 2023 are set in Commission Implementing Regulation (EU) 2021/2286.
The following groups of variables are collected in 2023:
- for core: location of the holding, legal personality of the holding, manager, type of tenure of the utilised agricultural area, variables of land, organic farming, irrigation on cultivated outdoor area, variables of livestock, organic production methods applied to animal production;
- for the module "Labour force and other gainful activities": farm management, family labour force, non-family labour force, other gainful activities directly and not directly related to the agricultural holding;
- for the module "Rural development": support received by agricultural holdings through various rural development measures;
- for the module “Soil management practices”: tillage methods, soil cover on arable land, crop rotation on arable land, ecological focus area;
- for the module “Machinery and equipment”: internet facilities, basic machinery, use of precision farming, machinery for livestock management, storage for agricultural products, equipment used for production of renewable energy on agricultural holdings;
- for the module “Orchards”: apples area and apricots area, each one by age of plantation and density of trees.
See sub-category below.
See sub-categories below.
See sub-categories below.
See sub-categories below.
See categories below.
Two kinds of units are generally used:
- the units of measurement for the variables (area in hectares, livestock in (1000) heads or LSU (livestock units), labour force in persons or AWU (annual working units), standard output in Euro, places for animal housing etc.) and
- the number of agricultural holdings having these characteristics.
All core as well as module data in IFS 2023 were collected as a sample survey.
Design weights used for data compilation are included in the IFS 2023 dataset.
The adjustment of the weights to compensate for unit non-response is described in the annex to item 13.2.3.
See sub-categories below.
Every 3-4 years (depending on the survey frequency).
See sub-categories below.
See sub-categories below.
See sub-categories below.
