Farm structure (ef)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Czech Statistical Office 


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)
 



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Czech Statistical Office 

1.2. Contact organisation unit

Agricultural and Forestry, Industrial, Construction, and Energy Statistics Department

1.5. Contact mail address

Czech Statistical Office

Agricultural, Forestry, Industrial, Construction, and Energy Statistics Department

Na padesátém 81

CZ-100 82 Praha 10

Czech Republic


2. Metadata update Top
2.1. Metadata last certified 16/04/2024
2.2. Metadata last posted 16/04/2024
2.3. Metadata last update 16/04/2024


3. Statistical presentation Top
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 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) 2018/1874.

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 2020 are set in Commission Implementing Regulation (EU) 2018/1874.

The following groups of variables are collected in 2020:

  • 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 "Animal housing and rural development module":  animal housing, nutrient use and manure on the farm, manure application techniques, facilities for manure.
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
No
3.6.1.2. Lowered and/or additional thresholds compared to Regulation (EU) 2018/1091
No
3.6.2. 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.

The above answer holds for the modules ‘Labour force and other gainful activities’ and ‘Rural development’. The module ‘Machinery and equipment’ is not collected in 2020.

3.6.3. Population covered by the data sent to Eurostat for the module “Animal housing and manure management”

The subset of the population of agricultural holdings defined in item 3.6.2 with at least one of the following: bovine animals, pigs, sheep, goats, poultry.

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 situated
The 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): 22 664 holdings (78.4%);

geographical coordinates of the address point of the holding: 6 616 holdings (22.9%);

geographical coordinates of the Territorial Technical Unit1) where the most important parcel is placed: 79 holdings (0.3%);

1) A Territorial Technical Unit is a unit defined as cadastral territory or part of cadastral territory separated by the border of a basic settlement unit, i.e. by the border of a municipality, city district or city part. A municipality (LAU2) consists of one or more Territorial Technical Units.

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 2020 data are processed (by Eurostat) with 2017 standard output coefficients (calculated as a 5-year average of the period 2015-2019). For more information, you can consult the definition of the standard output.


4. Unit of measure Top

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.


5. Reference Period Top

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 2020. 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 2020.

5.3. Reference day for variables on livestock and animal housing

The reference day 30 September 2020.

5.4. Reference period for variables on manure management

The 12-month period ending on 30 September 2020. This period includes the reference day used for livestock and animal housing.

5.5. Reference period for variables on labour force

The 12-month period ending on 30 September 2020.

5.6. Reference period for variables on rural development measures

The three-year period ending on 31 December 2020.

5.7. Reference day for all other variables

The reference day 30 September 2020.


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

See sub-categories below.

6.1.1. National legal acts and other agreements
Legal act
6.1.2. 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

See the URL link: https://www.czso.cz/csu/czso/full_wording_of_act_no_89_1995_coll_on_the_state_statistical_service

6.1.4. Year of entry into force of national legal acts and other agreements

1995

6.1.5. Legal obligations for respondents
Yes
6.2. Institutional Mandate - data sharing

Variables on Rural Development Measures were obtained from the State Agricultural Intervention Fund.

According to Act No 89/1995 Coll., par. 9, authorities performing the State Statistical Service use data acquired or collected by Ministries and other administrative authorities under special Acts. Ministries and other administrative authorities are bound to provide them with the necessary data on their request on time and free of charge unless otherwise stated by this Act.


7. Confidentiality Top
7.1. Confidentiality - policy

Act No 89/1995 Coll., par. 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
Cell suppression (Completely suppress the value of some cells)
7.2.1.3. Description of rules and methods

The 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., on the State Statistical Service, as amended.

Data confidentiality during dissemination is ensured by internal directive of the CZSO which states that statistical information can be released in case it is produced as an aggregation of at least three subjects. Furthermore, sum of shares for the two greatest individual values 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.

7.2.2. Microdata

See sub-categories below.

7.2.2.1. Use of EU methodology for microdata dissemination
Not applicable
7.2.2.2. Methods of perturbation
None
7.2.2.3. Description of methodology

Not applicable.


8. Release policy Top
8.1. Release calendar

IFS data publications (on national and regional level) 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 the cooperation of external experts).

8.2. Release calendar access

See the URL link: https://www.czso.cz/csu/czso/catalogue-of-products

8.3. Release policy - user access

The release policy of the CZSO is laid down by Act No 89/1995 Sb, on the State Statistical Service, par. 18.

There are no deviations from the general policy of the CZSO for IFS data.

8.3.1. Use of quality rating system
No
8.3.1.1. Description of the quality rating system

Not applicable.


9. Frequency of dissemination Top

Every 3-4 years (depending on the survey frequency).


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

See sub-categories below.

10.1.1. Publication of news releases
Yes
10.1.2. Link to news releases

See the URL link: https://www.czso.cz/csu/czso/zemedelstvi-se-koncentruje-do-vetsich-podniku-ubylo-chovatelu-hospodarskych-zvirat

10.2. Dissemination format - Publications

See sub-categories below.

10.2.1. Production of paper publications
Yes, in English also
10.2.2. Production of on-line publications
Yes, in English also
10.2.3. Title, publisher, year and link

Integrated Farm Survey – 2020; CZSO, 2021; see the URL link: https://www.czso.cz/csu/czso/integrated-farm-survey-2020

Integrated Farm Survey – regions – 2020; CZSO, 2021; see the URL link: https://www.czso.cz/csu/czso/integrated-farm-survey-regions-2020

Integrated Farm Survey – analytical evaluation – 2020; CZSO, 2022; see the URL link: https://www.czso.cz/csu/czso/integrated-farm-survey-analytical-evaluation-2020

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
No
10.3.3. Link to online database

Not applicable.

10.4. Dissemination format - microdata access

See sub-category below.

10.4.1. Accessibility of microdata
No
10.5. 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
No
10.6.3. Title, publisher, year and link to national reference metadata

Not applicable.

10.6.4. Availability of national handbook on methodology
No
10.6.5. Title, publisher, year and link to handbook

Not applicable.

10.6.6. Availability of national methodological papers
No
10.6.7. Title, publisher, year and link to methodological papers

Not applicable.

10.7. Quality management - documentation

CZSO Quality Commitment: see the URL link: https://www.czso.cz/documents/10180/23183847/quality_commitment.pdf/849dd6f1-d50d-4474-bb6c-79000e38c664?version=1.0

Quality policy of the CZSO: see the URL link: https://www.czso.cz/documents/10180/23183847/quality_policy_en.pdf/01cf4a5e-42b8-4e82-b1ad-2e9f243e7c90?version=1.0


11. Quality management Top
11.1. Quality assurance

See sub-categories below.

11.1.1. Quality management system
Yes
11.1.2. Quality assurance and assessment procedures
Use of best practices
Designated 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 CZSO Quality Commitment and Quality policy of the CZSO (see item 10.7 for links).

Irregular external audits carried out by expert group comprising of internal and external experts are conducted for all statistical domains under the responsibility of the CZSO.

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.


12. Relevance Top
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

None; only variables requested by Regulation 2018/1091 were collected in IFS2020.

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
No
12.2.2. Year of user satisfaction survey

Not applicable.

12.2.3. Satisfaction level
Not applicable
12.3. Completeness

Information on low- and zero prevalence variable is available on Eurostat's website.

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. Accuracy Top
13.1. Accuracy - overall

See categories below.

13.2. Sampling error

See sub-categories below.

13.2.1. Sampling error - indicators

Not applicable.

The core and module data were obtained in a census (see items 18.1.2.1, 18.1.4.1, 18.1.5.1, and 18.1.6.1).

No frame extension was applied (see item 18.1.3.1).

13.2.2. Reasons for non-compliant precision requirements in relation to Regulation (EU) 2018/1091

Not applicable.

13.2.3. Methodology used to calculate relative standard errors

Not applicable.

13.2.4. Impact of sampling error on data quality
None
13.3. 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 in the annex. 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. 



Annexes:
13.3.1.1. Over-coverage rate and Unit non-response rate
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 period
Temporarily 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 units
13.3.1.1.3. 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 662 holdings (2.3%), which were not included in the population, were found during the survey and added to the population.

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 births
New 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.

13.3.1.3.4. Additional information under-coverage error

Not available.

13.3.1.4. Misclassification error
No
13.3.1.4.1. Actions to minimise the misclassification error

Not applicable as IFS 2020 was conducted as a census.

13.3.1.5. Contact error
No
13.3.1.5.1. 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
None
13.3.2. Measurement error

See sub-categories below.

13.3.2.1. List of variables mostly affected by measurement errors

The questionnaire used in IFS 2020 was very similar to one used in former FSSs so the risk that the respondents did not correctly understand the questions was minimised.

13.3.2.2. Causes of measurement errors
Respondents’ inability to provide accurate answers
13.3.2.3. Actions to minimise the measurement error
Explanatory notes or handbooks for enumerators or respondents
Training of enumerators
13.3.2.4. Impact of measurement error on data quality
Low
13.3.2.5. Additional information measurement error

Not available.

13.3.3. Non response error

See sub-categories below.

13.3.3.1. Unit non-response - rate

The unit non-response rate is in the annex of 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
Failure to make contact with the unit
Refusal to participate
Inability to participate (e.g. illness, absence)
13.3.3.1.2. Actions to minimise or address unit non-response
Follow-up interviews
Reminders
Imputation
13.3.3.1.3. Unit non-response analysis

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 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. Some difficulties concern also newly introduced variables.

13.3.3.2.2. Reasons for item non-response
Skip of due question
Farmers do not know the answer
13.3.3.2.3. Actions to minimise or address item non-response
Follow-up interviews
Reminders
13.3.3.3. Impact of non-response error on data quality
Low
13.3.3.4. 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 entry
Imputation methods
13.3.4.2. Imputation methods
Nearest neighbour imputation
13.3.4.3. 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.

Staff involved: CZSO regional staff at Field Survey Units, 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
None
13.3.4.6. Additional information processing error

Not available.

13.3.5. Model assumption error

Not applicable.


14. Timeliness and punctuality Top
14.1. Timeliness

See sub-categories below.

14.1.1. Time lag - first result

Day of the first publication of results: 21 September 2021

Time lag = 9 months (264 days) from 31 December 2020

14.1.2. Time lag - final result

First results = final results; i.e. time lag = 9 months from 31 December 2020 (see point 14.1.1)

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

21 days delay between the target date (31 August) and the actual publication date (21 September)

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. Coherence and comparability Top
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 3548109.13 3492429.95 98.43 98.00
LSU 1581123.89 1600603.03 101.23  98.00

The applied thresholds were the same as the EU Regulation thresholds (see items 3.6.1.1. and 3.6.1.2 and the title page of the questionnaire attached in item 18.3.3).

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
  • EU handbook: hop is included in crops grown on arable land.

National level: hop-gardens are reported as permanent crops.

  • EU definition: nurseries are included in permanent crops.

National level: nurseries are reported as crops grown on arable land.

  • EU handbook: trees and bushes grown for use for energy production only are included in wooded area (of which short rotation coppices).

National level: they are included in other permanent crops (of which short rotation coppices), i.e. they represent a part of the utilised agricultural area.

  • EU handbook: turnip rape is included in rape.

National level: turnip rape is included in other oil crops.

  • EU handbook: corn-cob-mix is included in grain maize.

National level: corn-cob-mix are included in green and silage maize.

  • EU handbook: irrigated area are excluded from the area under cover.

National level: irrigable and irrigated area includes irrigated area of glasshouses, plastic houses, and areas under high accessible cover.

  • EU handbook: topics on manure management include only holdings described in item 3.6.3.

National level: they include all agricultural holdings.

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 in the annex. 
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.



Annexes:
15.1.4.4.4. AWU
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

The information is available in the annex of item 15.1.4.1.1. 

15.1.4.1.3. AWU for workers of certain age groups

The information is available in the annex of item 15.1.4.1.1. 

15.1.4.1.4. Livestock coefficients

LSU coefficients are the same as in Regulation 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 methodology for variables reported under 15.1.4.1. is given by the Law No 252/1997 Coll., on agriculture, as amended, or by subsidiary legal acts, and/or by further requirements of national users.

However, the national methodology is used only for data publication on national level; the data sent to Eurostat are always recalculated/reclassified in order to be fully compliant with the EU methodology.

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 exist
15.1.6.1. Collection of common land data
No
15.1.6.2. Reasons if common land exists and data are not collected

Not applicable.

15.1.6.3. Methods to record data on common land
Not applicable
15.1.6.4. Source of collected data on common land
Not applicable
15.1.6.5. 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 Council Regulation (EC) No 834/2007.

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

1

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 changes
15.2.2.2. Description of changes

Regulation (EU) 2018/1091 newly considers agricultural holdings with only fur animals. However, our country does not raise fur animals.

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 sufficient changes to warrant the designation of a break in series
15.2.3.2. Description of changes

Raised thresholds: none

Lowered thresholds: fruit trees, berries, nut trees, citrus fruit trees, other permanent crops excluding nurseries, vineyards and olive trees

New thresholds: arable land; potatoes; aromatic, medicinal and culinary plants; flowers and ornamental plants, seeds and seedlings, nurseries; cultivated mushrooms

Changed approach: livestock in LSU instead of heads of animals in particular categories

The impact of the changes of thresholds on the main variables was not yet evaluated. We do not intend to compare FSS 2016 and IFS 2020 data but we use FSS 2000 data recalculated using the IFS 2020 thresholds for comparisons.

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 changes
15.2.4.2. 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 series
15.2.5.2. Description of changes

Legal personality of the agricultural holding

In IFS, there is a new class (“shared ownership”) for the legal personality of the holding compared to FSS 2016, which trigger fluctuations of holdings in the classes of sole holder holdings and group holdings.

 

Other livestock n.e.c.

In FSS 2016, deer were included in this class, but in IFS, they are classified separately.

Also in FSS 2016, there was a class for the collection of equidae. That has been dropped and equidae are included in IFS in "other livestock n.e.c."

 

Livestock units

In FSS 2016, turkeys, ducks, geese, ostriches and other poultry were considered each one in a separate class with a coefficient of 0.03 for all the classes except for ostriches (coefficient 0.035). In IFS 2020, the coefficients were adjusted accordingly, with turkeys remaining at 0.03, ostriches remaining at 0.35, ducks adjusted to 0.01, geese adjusted to 0.02 and other poultry fowls n.e.c. adjusted to 0.001.

 

Organic animals

While in FSS only fully compliant (certified converted) animals were included, in IFS both animals under conversion and fully converted are to be included.

 

Areas designated as facing natural constraints under Regulation (EU) No 1305/2013

In FSS 2016, the classification of ANC was given by Government Regulation No 72/2015. As for IFS 2020, their classification has been changed by Government Regulation No 43/2018.  

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 changes
15.2.6.2. 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 changes
15.2.7.2. Description of changes

Not applicable.

15.2.8. Explanations for major trends of main variables compared to the last data transmission to Eurostat

By observing the holdings breakdown by SO_EUR classes, It is recorded an increase of share of lower SO_EUR classes (below 3) in 2020, compared to 2016; a probable reason for the increase of share of lower classes could be lower threshold values for IFS 2020 compared to FSS 2016.

15.2.9. Maintain of statistical identifiers over time
No
15.3. 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
No
15.3.3.2. 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
Yes
15.3.4.2. Results of analysis at macro level

Discrepancies between domains are caused mainly by different survey designs (census and survey) and different thresholds used. Differences in of allocation of holdings to NUTS2 regions in IFS and APRO (due to grossing-up procedures in APRO) may occur and contribute to the discrepancies as well.in 2020 variations between IFS and Animal statistics were recorded for A3100 and A2000. The difference between domains is caused by 

- different survey design: census for IFS and sample survey for Animal statistics and 
- different reference days (30 September for IFS and 31 December for Animal statistics) as significant changes in ownership of livestock or moving of the holdings’ headquarters among regions could have happened during the concerned period.
15.4. Coherence - internal

The data are internally consistent. This is ensured by the application of a wide range of validation rules.


16. Cost and Burden Top

See sub-categories below.

16.1. Coordination of data collections in agricultural statistics

Data from annual Areas under crops survey and annual Livestock survey were used in IFS 2020 for respondents included in both IFS and aforementioned surveys.

16.2. Efficiency gains since the last data transmission to Eurostat
On-line surveys
Other
16.2.1. Additional information efficiency gains

Lowered burden for respondents included in both IFS and Areas under crops survey and/or Livestock survey.

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’

Not available.


17. Data revision Top
17.1. Data revision - policy

General revision policy of the CZSO is described in the document CZSO Data Revision Policy; see the URL link: https://www.czso.cz/documents/10180/23183847/czso_data_revision_policy_2020_en.pdf/e1e4ed71-bba5-4aaa-a313-9ee17b4d2922?version=1.3

The IFS data are final when first released and are not subject to revision.

17.2. Data revision - practice

There are no revisions to report for IFS 2020.

17.2.1. Data revision - average size

Not requested.


18. Statistical processing Top


Annexes:
18. Timetable_statistical processing
18.1. Source data

See sub-categories below.

18.1.1. Population frame

See sub-categories below.

18.1.1.1. Type of frame
List frame
18.1.1.2. Name of frame

Farm Register

18.1.1.3. Update frequency
Continuous
18.1.2. Core data collection on the main frame

See sub-categories below.

18.1.2.1. Coverage of agricultural holdings
Census
18.1.2.2. Sampling design

Not applicable for 2019/2020.

18.1.2.2.1. Name of sampling design
Not applicable
18.1.2.2.2. Stratification criteria
Not applicable
18.1.2.2.3. Use of systematic sampling
Not applicable
18.1.2.2.4. Full coverage strata

Not applicable for 2019/2020.

18.1.2.2.5. Method of determination of the overall sample size

Not applicable for 2019/2020.

18.1.2.2.6. Method of allocation of the overall sample size
Not applicable
18.1.3. Core data collection on the frame extension

See sub-categories below.

18.1.3.1. Coverage of agricultural holdings
Not applicable
18.1.3.2. Sampling design

Not applicable.

18.1.3.2.1. Name of sampling design
Not applicable
18.1.3.2.2. Stratification criteria
Not applicable
18.1.3.2.3. Use of systematic sampling
Not applicable
18.1.3.2.4. 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 applicable
18.1.4. Module “Labour force and other gainful activities”

See sub-categories below.

18.1.4.1. Coverage of agricultural holdings
Census
18.1.4.2. Sampling design

Not applicable.

18.1.4.2.1. Name of sampling design
Not applicable
18.1.4.2.2. Stratification criteria
Not applicable
18.1.4.2.3. Use of systematic sampling
Not applicable
18.1.4.2.4. Full coverage strata

Not applicable.

18.1.4.2.5. Method of determination of the overall sample size

Not applicable.

18.1.4.2.6. Method of allocation of the overall sample size
Not applicable
18.1.4.2.7. If sampled from the core sample, the sampling and calibration strategy
Not applicable
18.1.5. Module “Rural development”

See sub-categories below.

18.1.5.1. Coverage of agricultural holdings
Census
18.1.5.2. Sampling design

Not applicable.

18.1.5.2.1. Name of sampling design
Not applicable
18.1.5.2.2. Stratification criteria
Not applicable
18.1.5.2.3. Use of systematic sampling
Not applicable
18.1.5.2.4. Full coverage strata

Not applicable.

18.1.5.2.5. Method of determination of the overall sample size

Not applicable.

18.1.5.2.6. Method of allocation of the overall sample size
Not applicable
18.1.5.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Not applicable
18.1.6. Module “Animal housing and manure management module”

See sub-categories below.

18.1.6.1. Coverage of agricultural holdings
Census
18.1.6.2. Sampling design

Not applicable.

18.1.6.2.1. Name of sampling design
Not applicable
18.1.6.2.2. Stratification criteria
Not applicable
18.1.6.2.3. Use of systematic sampling
Not applicable
18.1.6.2.4. Full coverage strata

Not applicable.

18.1.6.2.5. Method of determination of the overall sample size

Not applicable.

18.1.6.2.6. Method of allocation of the overall sample size
Not applicable
18.1.6.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Not applicable
18.1.12. Software tool used for sample selection

Not applicable.

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.

18.1.13.2. Description and quality of the administrative sources

See the attached Excel file in the Annex.



Annexes:
18.1.13.2. Description_quality_administrative_source
18.1.13.3. Difficulties using additional administrative sources not currently used
Other
18.1.14. Innovative approaches

The information on innovative approaches and the quality methods applied is available on Eurostat's website.

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-questionnaire
Postal, 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
Manual
18.3.3. Questionnaire

Please find the questionnaires (CZ and EN) in annexes.



Annexes:
18.3.3. Questionnaire - Czech version
18.3.3. Questionnaire - English version
18.4. Data validation

See sub-categories below.

18.4.1. Type of validation checks
Data format checks
Completeness checks
Relational checks
Comparisons with previous rounds of the data collection
18.4.2. Staff involved in data validation
Staff 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 (Integrated Farm Statistics Manual. Publications Office of the European Union, Luxembourg, 2020; Annex V.).

18.5. Data compilation

All core as well as module data in IFS 2020 were collected as a census.

Therefore, no design weights were used for data compilation.

Methods of data imputation used for non-responding units are listed in the item 13.3.4.2.

18.5.1. Imputation - rate
Variable IFS code Weighted imputation rate
Cereals for the production of grain (including seed) C0000T 1.7%
Oilseeds I1100XI1150T 1.9%
Plants harvested green from arable land G0000T 1.5%
Fresh vegetables (including melons), strawberries, flowers and ornamental plants (excluding nurseries) V0000_S0000_N0000 4.2%
Permanent grassland excluding rough grazings J1000_3000TE 1.5%
Fruits, berries, nuts and citrus fruits (excluding grapes and strawberries) F0000_T0000T 2.2%
Grapes W1000T 3.2%
Olives O1000T not existent
Arable land sum (ARAT,ARAS) 1.7%
Permanent crops PECRT 2.8%
Dairy cows A2300F_LSU 1.2%
Non-dairy cows A2300G_LSU 1.4%
Other bovine animals (bovine animals less than 1 year, bovine animals 1 to less than 2 years, male bovine animals 2 years old and over, heifers 2 years old and over) A2000X2300_LSU 1.3%
Breeding sows live weight 50 kg and over A3120_LSU 0.0%
Piglets live weight of under 20 kg and other pigs A3110_3130_LSU 0.0%
Sheep and goats A4000_LSU 2.3%
Poultry A5000X5120_5130_LSU 1.8%
Total livestock units A0010_LSU 1.1%
18.5.2. Methods used to derive the extrapolation factor
Not applicable
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.


19. Comment Top

See sub-categories below.

19.1. List of abbreviations

APRO - Annual Crop Statistics

CAP – Common Agricultural Policy

CAPI – Computer Assisted Personal Interview

CATI – Computer Assisted Telephone Interview

CAWI – Computer Assisted Web Interview

CZSO – Czech Statistical Office

EC – European Community      

EU – European Union

EUROSTAT – Statistical Office of the European Communities

FAO – Food and Agriculture Organisation of the United Nations

FSS – Farm Structure Survey

IACS – Integrated Administration and Control System

IFS – Integrated Farm Statistics

LPIS – Land Parcel Information System

LSU – Livestock units

NACE – Nomenclature of Economic Activities

NUTS – Nomenclature of territorial units for statistics

PAPI – Paper and Pencil Interview

PDC – Postal data collection

RDM – Rural Development Measures

SO – Standard output

UAA – Utilised agricultural area

19.2. Additional comments

No additional comments.


Related metadata Top


Annexes Top