Crop production (apro

Crop production (apro_cp)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: Czech Statistical Office

Eurostat metadata

Reference metadata

1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)

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1. Contact

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1.1. Contact organisation

Czech Statistical Office

1.2. Contact organisation unit

Agriculture and Forestry Statistics Department

1.5. Contact mail address

Na padesátém 81, 100 82 Prague 10, Czech Republic

2. Statistical presentation

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2.1. Data description

Annual crop statistics provide statistics on the area under main arable crops, vegetables and permanent crops and production and yield levels. The statistics are collected from a wide variety of sources: surveys, administrative sources, experts and other data providers. The data collection covers early estimates (before the harvest) and the final data. Data are collected mostly at national level but for some crops also regional data exist (NUTS1/2).

2.2. Classification system

Hierarchical crop classification system

2.3. Coverage - sector

Growing of non-perennial crops, perennial crops and plant propagation (NACE A01.1-01.3)

2.4. Statistical concepts and definitions

See: Annual crop statistics Handbook

2.5. Statistical unit

Utilised agricultural area cultivated by an agricultural holding.

2.6. Statistical population

All agricultural holdings growing crops.

2.7. Reference area

The entire territory of the country.

2.8. Coverage - Time

Crop year.

2.9. Base period

Not applicable.

3. Statistical processing

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3.1. Source data

	Source 1	Source 2	Source 3	Source 4
Have new data sources been introduced since the previous quality report?	YES
If yes, which new data sources have been introduced since the previous quality report?	IACS
Type of source?	Administrative data
To which Table (Reg 543/2009) do they contribute?	Table1
Have some data sources been dropped since the previous quality report?	NO
Which data sources have been dropped since the previous quality report?
Type of source?
Why have they been dropped?
Additional comments	IACS - new data source is used from 2023

Data sources: Please indicate the data sources which were used for the reference year on which is reported

Type

Name(s) of the sources

If other type, which kind of data source?

Table 1: Crops from arable land

Early estimates for areas

Survey
Expert estimate

Final Harvest Survey (Areas under winter crops as at 30.10.)

Areas under Crops Survey as at 31.5.

Area Estimates as at 31.5.

Final area under cultivation

Survey
Administrative data

Areas under Crops Survey as at 31.5.

Final Harvest Survey

IACS (from 2023)

Production

Survey

Areas under Crops Survey as at 31.5.

Harvest Estimates as at 10.6.

Harvest Estimates as at 15.7.

Harvest Estimates as at 15.8.

Harvest Estimates as at 15.9.

Final Harvest Survey

Yield

Survey

Areas under Crops Survey as at 31.5.

Harvest Estimates as at 10.6.

Harvest Estimates as at 15.7.

Harvest Estimates as at 15.8.

Harvest Estimates as at 15.9.

Final Harvest Survey

Non-existing and non-significant crops

Other

IACS, previous crops surveys, IFS.

Table 2: Vegetables, melons and strawberries

Early estimates for harvested areas

Survey
Expert estimate

Areas under Crops Survey as at 31.5.

Area Estimates as at 31.5.

Final harvested area

Survey

Final Harvest Survey

Production

Survey

Harvest Estimates as at 15.9. Final Harvest Survey

Non-existing and non-significant crops

Other

IACS, Vegetable Growers Union, previous crops surveys.

Table 3: Permanent crops

Early estimates for production area

Expert estimate

Area Estimates as at 31.5.

Final production area

Survey
Administrative data

Final Harvest Survey

Vineyard register

Production

Survey

Harvest Estimates as at 15.7. Harvest Estimates as at 15.9. Final Harvest Survey

Non-existing and non-significant crops

Other

IACS, Orchard Register, previous crops surveys.

Table 4: Agricultural land use

Main area

Survey
Administrative data

Areas under Crops Survey as at 31.5.

Final Harvest Survey

Vineyard register

Non-existing and non-significant crops

Other

IACS, previous crops surveys, IFS.

Total number of different data sources

Additional comments

Data source for the humidity	Put x, if used
Surveyed: farmers report the humidity
Surveyed: farmers convert the production/yield into standard humidity	x
Surveyed: whole sale purchasers report the humidity
Surveyed: whole sale purchasers convert the production/yield into standard humidity
Surveyed by experts (e.g. test areas harvested and measured)
Estimated by experts
Other type
If other type, please explain
Additional information

Which method is used for calculating the yield for main arable crops?	Production divided by sown area production divided by harvested area
If another method, describe it.	Production divided by sown area: applies for final values in the most of cases. Production divided by harvested area: Harvested areas are surveyed only for selected crops (grain maize, green maize, hops). Yield is surveyed in the field and production volume is assessed on the basis of the yield: applies for Harvest Estimates.

3.2. Frequency of data collection

	Source 1	Source 2	Source 3	Source 4	Source 5	Source 6	Source 7	Source 8	Source 9
Name of data source	Areas under Crops Survey as at 31.5.	Final Harvest Survay	Harvest Estimates as at 10.6.	Harvest Estimates as at 15.7.	Harvest Estimates as at 15.8.	Harvest Estimates as at 15.9.
Planning (month-month/year)	2-3/2021	2-3/2021	2-3/2021	2-3/2021	2-3/2021	2-3/2021
Preparation (month-month/year)	4-5/2022	10-11/2022	4-5/2022	4-7/2022	4-8/2022	4-9/2022
Data collection (month-month/year)	5-6/2022	11-12/2022	6/2022	7/2022	8/2022	9/2022
Quality control (month-month/year)	6/2022	12/2022-2/2023	6/2022	7/2022	8/2022	9/2022
Data analysis (month-month/year)	6-7/2022	1-2/2023	6-7/2022	7-8/2022	8-9/2022	9-10/2022
Dissemination (month-month/year)	7/2022	2/2023	7/2022	8/2022	9/2022	10/2022
If there were delays, what were the reasons?

3.3. Data collection

Definitions	Question	In case yes, how do they differ?
Do national definitions differ from the definitions in Article 2 of Regulation (EC) No 543/2009?	YES	T1: Area under cultivation corresponds to the sown area as at 31 May. In addition, harvested areas of selected crops (grain maize, green maize, hops) are surveyed. Non-harvested area (area under cultivation ruined by natural disasters or not harvested for economic reasons etc.) is not taken into consideration. T2: Sowing area as at 31 May of vegetables was reported until 2017. Harvested area of vegetables is reported since 2018.
Are there differences between the national methodology and the methodology described in the Handbook concerning e.g. the item and aggregate calculations?	YES	Explanation for discrepancy of area (T1) and main area (T4) of I0000 'Industrial crops': Hops (included in I0000) is considered as a permanent crop in CZ. Harvested and main areas of hops are surveyed in the same manner as those of other permanent crops. T1: the area of I4000 'Hops' (included in I0000) corresponds to the harvested area, i.e. area linked to the harvested production important for yield calculation. T4: the main area of I4000 'Hops' (included in I0000) covers the total area of hops including non-producing areas such as new plantations not yet started to produce in given year.
Are special estimation/calculation methods used for main crops from arable land?
Are special estimation/calculation methods used for vegetables or strawberries?
Are special estimation/calculation methods used for permanent crops for human consumption?
Are special estimation/calculation methods used for main land use?
Do national crop item definitions differ from the definitions in the Handbook (D-flagged data)?	YES
In case yes, how do they differ? ( list all items and explanations)	C1110 - Common wheat and spelt C1200 - Rye and winter cereal mixtures (maslin) C1420 - Spring cereal mixtures (mixed grain other than maslin) C1500 - Grain maize and corn-cob-mix I1111 - Winter rape and turnip rape seeds G3000 - Green maize F1210 - Peaches	C1110 - Common wheat and spelt: includes durum wheat until 2022. From 2023 onwards, Durum wheat (C1120) is reported separately (new data collection). C1200 - Rye and winter cereal mixtures (maslin): includes only rye from 2023 onwards. C1420 - Spring cereal mixtures (mixed grain other than maslin): includes winter cereal mixtures (maslin) from 2023 onwards. C1500 - Grain maize and corn-cob-mix: Corn-cob-mix is excluded. I1111 - Winter rape and turnip rape seeds: includes spring rape seeds until 2022. From 2023 onwards, Spring rape (I1112) is reported separately. Turnip rape is included. G3000 - Green maize: Corn-cob-mix is included. F1210 - Peaches: Nectarines (F1220) are included.
In case data are delivered for one of the items below, describe the crop species included in the item:	C1900 - Other cereals n.e.c. (buckwheat, millet, etc.) I1190 -Other oilseed crops n.e.c I9000 - Other industrial crops n.e.c. V1900 - Other brassicas n.e.c. V4900 - Other root, tuber and bulb vegetables n.e.c. V9000 - Other fresh vegetables n.e.c. F3900 - Other berries n.e.c. PECR9 - Other permanent crops	C1900 - Other cereals n.e.c. (buckwheat, millet, canary seed, etc.): Sorghum (C1700) is included. I1190 - Other oilseed crops n.e.c.: Turnip rape is included until 2022. I9000 - Other industrial crops n.e.c.: Fibre flax (I2100) is included. V1900 - Other brassicas n.e.c.: includes only Kohlrabi (V1910) until 2022. From 2023 onwards, this item is in accordance with the definition in the Handbook. V4900 - Other root, tuber and bulb vegetables n.e.c.: includes only Parsley until 2022. From 2023 onwards, this item is in accordance with the definition in the Handbook. V9000 - Other fresh vegetables n.e.c.: includes Gourds and pumpkins (V3430), Watermelons (V3520), Asparagus (V2600), Other brassicas n.e.c. (V1900), Other leafy or stalked vegetables n.e.c. (V2900), Other vegetables cultivated for fruit n.e.c. (V3900), Other root, tuber and bulb vegetables n.e.c. (V4900), and Other fresh pulses n.e.c. (V5900) until 2022. From 2023 onwards, these items are reported separately (new data collection). F3900 - Other berries n.e.c.: includes only gooseberries until 2022. From 2023 onwards, this item is in accordance with the definition in the Handbook. PECR9 - Other permanent crops: includes short rotation coppices until 2022.

Population

Which measures were taken in order to make sure that the requirement stipulated in Art. 3.2 are met? (Statistics shall be representative of at least 95 % of the areas of each table in the Regulation).	Annual Crop Statistics are representative for the whole agricultural sector. ACS include all units registered in the Farm Register. The Farm Register is maintained by the Czech statistical Office (CZSO), its legal basis is Decree No 126/2001. Entities dealing with agricultural activities (by the NACE classification) in the Farm Register meet the following thresholds: 1 ha of utilised agricultural area; or 1,500 m² area of specialty crops (vineyards, orchards, hop gardens, flowers and ornamental plants, vegetables, aromatic, medicinal and culinary plants); or 1 head of cattle; or 2 head of pigs; or 4 head of sheep and goats; or 50 head of poultry. The Farm Register is used as the basis for all agricultural statistical surveys and is regularly updated based on results of all agricultural surveys conducted by the CZSO and available administrative sources, especially IACS.
Is the data collection based on holdings?	YES
If yes, how the holdings were identified?	Unique statistical farm identifier
If not, on which unit the data collection is based on?
When was last update of the holding register? (month/year)	9/2022
Was a threshold applied?	NO
If yes, size of the excluded area	Area excluded on the basis of the threshold in % of the total area for that crop
Cereals for the production of grain (in %)
Dried pulses and protein crops (in %)
Root crops (in %)
Oilseeds (in %)
Other industrial crops (included all industrial crops besides oilseeds) (in %)
Plants harvested green from arable land (in %)
Total vegetables, melons and strawberries (in %)
Cultivated mushrooms (in %)
Total permanent crops (in %)
Fruit trees (in %)
Berries (in %)
Nut trees (in %)
Citrus fruit trees (in %)
Vineyards (in %)
Olive trees (in %)

Survey method (only for census and surveys)

	Survey 1	Survey 2	Survey 3	Survey 4	Survey 5	Survey 6	Survey 7
Name of the survey	Areas under Crops Survey as at 31.5.	Final Harvest Survey	Harvest Estimates as at 10.6.	Harvest Estimates as at 15.7.	Harvest Estimates as at 15.8.	Harvest Estimates as at 15.9.
Which survey method was used?	On-line electronic questionnaire filled in by respondent Postal questionnaire filled in by respondent Telephone interview, paper questionnaire Telephone interview, electronic questionnaire	On-line electronic questionnaire filled in by respondent Postal questionnaire filled in by respondent Telephone interview, paper questionnaire Telephone interview, electronic questionnaire	On-line electronic questionnaire filled in by respondent Postal questionnaire filled in by respondent Telephone interview, paper questionnaire Telephone interview, electronic questionnaire	On-line electronic questionnaire filled in by respondent Postal questionnaire filled in by respondent Telephone interview, paper questionnaire Telephone interview, electronic questionnaire	On-line electronic questionnaire filled in by respondent Postal questionnaire filled in by respondent Telephone interview, paper questionnaire Telephone interview, electronic questionnaire	On-line electronic questionnaire filled in by respondent Postal questionnaire filled in by respondent Telephone interview, paper questionnaire Telephone interview, electronic questionnaire
If 'other', please specify
Please provide a link to the questionnaire	https://apl.czso.cz/pll/vykazy/pdfsoub?xid=2909&xtyp=V	https://apl.czso.cz/pll/vykazy/pdfsoub?xid=2895&xtyp=V	https://apl.czso.cz/pll/vykazy/pdfsoub?xid=2907&xtyp=V	https://apl.czso.cz/pll/vykazy/pdfsoub?xid=2905&xtyp=V	https://apl.czso.cz/pll/vykazy/pdfsoub?xid=2906&xtyp=V	https://apl.czso.cz/pll/vykazy/pdfsoub?xid=2908&xtyp=V
Data entry method, if paper questionnaires?	Manual	Manual	Manual	Manual	Manual	Manual

Administrative data (This question block is only for administrative data)

	Admin source 1	Admin source 2	Admin source 3	Admin source 4	Admin source 5	Admin source 6
Name of the register	Vineyard register	Register of hop gardens	IACS
Description	The vineyard register covers the holdings growing vines.	The register of hop gardens covers the holdings growing hops.	System for the management and control of payments to farmers in application of the Common Agricultural Policy.
Data owner (organisation)	Central Institute for Supervising and Testing in Agriculture (subordinated to the Ministry of Agriculture of the Czech Republic).	Central Institute for Supervising and Testing in Agriculture (subordinated to the Ministry of Agriculture of the Czech Republic).	Ministry of Agriculture of the Czech Republic.
Update frequency	Continuous	Continuous	Once per year or more often
Reference date (month/year)
Legal basis	Act No. 321/2004 Coll., on viticulture and wine production and on amendments to certain related acts, as amended (the Viticulture and Wine Production Act).	Act No. 97/1996 Coll., on the protection of hops, and implementing decree No. 325/2004 Coll.	Act No. 252/1997 Coll., on Agriculture, and other legislation.
Reporting unit	Holdings growing vines.	Holdings growing hops.	Holdings.
Identification variable (e.g. address, unique code, etc.)	Name, Address, unique ID of the holding, unique code of wineyards.	Name, Address, unique ID of the holding, unique code of hop gardens.	Name, Address, unique ID of the holding.
Percentage of mismatches (%)
How were the mismatches handled?
Degree of coverage (holdings, e.g. 80%)	100%	100%	99%
Degree of completeness (variables, e.g. 60%)
If not complete, which other sources were used ?			Survey
Were the data used for sample frame?	Directly for estimates	Directly for estimates	Directly for estimates
Data used for other purposes, which?
Which variables were taken from administrative sources?	Area of vineyards.	Area of hop gardens.	Area of crops (from 2023).
Were there any differences in the definition of the variables between the administrative source and those described in the Regulation?	NO	NO	NO
Please describe the differences
What measures were taken to eliminate the differences?
How was the reliability, accuracy and coherence (comparison to other available data) of the data originated from administrative data source (ante- and/or ex-post) checked?	The Vineyard register belongs to the information system of the MoA (IACS).	The Register of hop gardens belongs to the information system of the MoA (IACS).
What were the possible limitations, drawbacks of using the data from administrative source(s)?

Expert estimations (This question block is only for expert estimates)

	Expert estimate 1	Expert estimate 2	Expert estimate 3	Expert estimate 4	Expert estimate 5	Expert estimate 6
Name of the estimation	Area Estimates as at 31.5.
Data owner (organisation)	CZSO
Update frequency (e.g. 1 year or 6 months)	Yearly
Reference date (Month/Year e.g. 1/22 - 8/22)	5/2022
Legal basis	No
Use purpose of the estimates?	Area estimates for selected crops.
What kind of expertise the experts have?
What kind of estimation methods were used?	Estimates are based on results from previous years.
Were there any differences in the definition of the variables between the experts' estimates and those described in the Regulation?	NO
If yes, please describe the differences
What measures were taken to eliminate the differences?
How were the reliability, accuracy and coherence (comparison to other available data) of the data originated from experts' estimates (ante- and/or ex-post)checked?
What were the possible limitations, drawbacks of using the data from expert estimate(s)?
Additional comments

3.4. Data validation

Which kind of data validation measures are in place?	Automatic and Manual
What do they target?	Completeness Outliers Aggregate calculations
Is the data cross-validated against an other dataset?	YES
If yes, which kind of dataset?	Previous results
If other, please describe

3.5. Data compilation

Not Applicable.

3.6. Adjustment

Not applicable.

4. Quality management

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4.1. Quality assurance

	Completeness	Punctuality	Accuracy	Reliability	Overall quality
How would you describe the overall quality development since the previous quality report?	Stable	Stable	Stable	Stable	Stable
Is there a quality management process in place for crop statistics?	NO
If, yes, what are the components?
Is there a quality report available?	YES
If yes, please provide a link(s)	https://www.czso.cz/csu/czso/agriculture-quality-reports
To which data source(s) is it linked?	Crop production statistics.
Has a peer-review been carried out for crop statistics?	NO
If, yes, which were the main conclusions?
What quality improvement measures are planned for the next 3 years?	Systematic validation improvements
If, other, please specify
Additional comments

4.2. Quality management - assessment

See the European level Quality Report.

5. Relevance

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5.1. Relevance - User Needs

Are there known unmet user needs?	NO
Describe the unmet needs
Does the Regulation 543/2009 meet the national data needs?	YES
Does the ESS agreement meet the national needs?	YES
If not, which additional data are collected?
Additional comments

5.2. Relevance - User Satisfaction

Have any user satisfaction surveys been done?	NO
If yes, how satisfied the users were?
Additional comments

5.3. Completeness

See the European level Quality Report

5.3.1. Data completeness - rate

See the European level Quality Report

6. Accuracy and reliability

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See points 6.2, 6.3.1, 6.3.2 and 6.3.3

6.1. Accuracy - overall

See the European level Quality Report.

6.2. Sampling error

Sampling method and sampling error

	Survey 1	Survey 2	Survey 3	Survey 4	Survey 5	Survey 6	Survey 7
Name	Areas under Crops Survey as at 31.5.	Final Harvest Survey	Harvest Estimates as at 10.6.	Harvest Estimates as at 15.7	Harvest Estimates as at 15.8.	Harvest Estimates as at 15.9
Sampling basis?	List	List	List	List	List	List
If 'other', please specify
Sampling method?	Stratified	Stratified	Stratified	Stratified	Stratified	Stratified
If stratified, number of strata?	155	147	112	117	65	127
If stratified, stratification basis?	Location Size Specialisation	Location Size Specialisation	Location Size Specialisation	Location Size Specialisation	Location Size Specialisation	Location Size Specialisation
If 'other', please specify
Size of total population	41492	41492	41492	41492	41492	41492
Size of sample	10251	5831	2016	2441	2100	2627
Which methods were used to assess the sampling error?	Relative standard error	Relative standard error	Relative standard error	Relative standard error	Relative standard error	Relative standard error
If other, which?
Which methods were used to derive the extrapolation factor?	Basic weight	Basic weight	Basic weight	Basic weight	Basic weight	Basic weight
If other, which?
If CV (co-efficient of variation) was calculated, please describe the calculation methods and formulas	The CV is calculated according the formula for stratified sample surveys.	The CV is calculated according the formula for stratified sample surveys.
If the results were compared with other sources, please describe the results
Which were the main sources of errors?

Sampling error - indicators

Coefficient of variation (CV) for the area (on the MS level)

	Survey 1	Survey 2	Survey 3	Survey 4	Survey 5	Survey 6	Survey 7
Name of the survey	Areas under Crops Survey as at 31.5.	Final Harvest Survey
Cereals for the production of grain (in %)	0.3	0.5
Dried pulses and protein crops (in %)	0.8	1,7
Root crops (in %)	0.8	1.5
Oilseeds (in %)	0.4	0.6
Other industrial crops (included all industrial crops besides oilseeds) (in %)	2.0	2.5
Plants harvested green from arable land (in %)	0.5	0.8
Total vegetables, melons and strawberries (in %)	0.5	2.8
Cultivated mushrooms (in %)
Total permanent crops (in %)	2.3	0.2
Fruit trees (in %)	3.0	0.6
Berries (in %)		1.3
Nut trees (in %)		2.1
Citrus fruit trees (in %)
Vineyards (in %)	2.7	2.2
Olive trees (in %)
Additional comments

6.3. Non-sampling error

6.3.1. Coverage error

Over-coverage - rate

Not applicable

Common units - proportion

not applicable

	Data source 1	Data source 2	Data source 3	Data source 4	Data source 5	Data source 6	Data source 7	Data source 8	Data source 9
Name of the data source	Areas under Crops Survey as at 31.5.	Final Harvest Survey	Harvest Estimates as at 10.6.	Harvest Estimates as at 15.7.	Harvest Estimates as at 15.8.	Harvest Estimates as at 15.9.
Error type	Under-coverage Over-coverage	Under-coverage Over-coverage	Under-coverage Over-coverage	Under-coverage Over-coverage	Under-coverage Over-coverage	Under-coverage Over-coverage
Degree of bias caused by coverage errors	Low	Low	Low	Low	Low	Low
What were the reasons for coverage errors?	Newly established entities, entities with ceased activities, successor entities	Newly established entities, entities with ceased activities, successor entities	Newly established entities, entities with ceased activities, successor entities	Newly established entities, entities with ceased activities, successor entities	Newly established entities, entities with ceased activities, successor entities	Newly established entities, entities with ceased activities, successor entities
Which actions were taken for reducing the error or to correct the statistics?	Regular update of the Farm Register from available registers (IACS).	Regular update of the Farm Register from available registers (IACS).	Regular update of the Farm Register from available registers (IACS).	Regular update of the Farm Register from available registers (IACS).	Regular update of the Farm Register from available registers (IACS).	Regular update of the Farm Register from available registers (IACS).
Additional comments

6.3.2. Measurement error

	Data source 1	Data source 2	Data source 3	Data source 4	Data source 5	Data source 6	Data source 7	Data source 8	Data source 9
Name of the data source	Areas under Crops Survey as at 31.5.	Final Harvest Survey	Harvest Estimates as at 10.6.	Harvest Estimates as at 15.7.	Harvest Estimates as at 15.8.	Harvest Estimates as at 15.9.
Was the questionnaire based on usual concepts for respondents?	YES	YES	YES	YES	YES	YES
Number of surveys already performed with the current questionnaire (or a slightly amended version of it)?	21	21	21	21	21	21
Preparatory (field) testing of the questionnaire?	NO	NO	NO	NO	NO	NO
Number of units participating in the tests?
Explanatory notes/handbook for surveyors/respondents?	YES	YES	YES	YES	YES	YES
On-line FAQ or Hot-line support for surveyors/respondents?	YES	YES	YES	YES	YES	YES
Were pre-filled questionnaires used?	NO	NO	NO	NO	NO	NO
Percentage of pre-filled questions out of total number of questions
Were some actions taken for reducing the measurement error or to correct the statistics?	YES	YES	YES	YES	YES	YES
If yes, describe the actions and their impact	Checks integrated in the questionnaire	Checks integrated in the questionnaire	Checks integrated in the questionnaire	Checks integrated in the questionnaire	Checks integrated in the questionnaire	Checks integrated in the questionnaire

6.3.3. Non response error

Unit non-response - rate

Not applicable

Item non-response - rate

Not applicable

	Survey 1	Survey 2	Survey 3	Survey 4	Survey 5	Survey 6	Survey 7
Name	Areas under Crops Survey as at 31.5.	Final Harvest Survey	Harvest Estimates as at 10.6.	Harvest Estimates as at 15.7.	Harvest Estimates as at 15.8.	Harvest Estimates as at 15.9.
Unit level non-response rate (in %)	3.6	3.2	1.8	2.9	2.3	3.0
Item level non-response rate (in %)
- Min% / item
- Max% / item
- Overall%
Was the non-response been treated ?	YES	YES	NO	NO	NO	NO
Which actions were taken to reduce the impact of non-response?
Which items had a high item-level non-response rate?
Which methods were used for handling missing data? (several answers allowed)	Follow-up interviews Reminders Imputations	Follow-up interviews Reminders Imputations	Follow-up interviews Reminders	Follow-up interviews Reminders	Follow-up interviews Reminders	Follow-up interviews Reminders
In case of imputation which was the basis?	Imputation based on similar units	Imputation based on similar units
In case of imputation, which was the imputation rate (%)?
Estimated degree of bias caused by non-response?	Insignificant	Insignificant	Insignificant	Insignificant	Insignificant	Insignificant
Which tools were used for correcting the data?
Which organisation did the corrections?	CZSO	CZSO	CZSO	CZSO	CZSO	CZSO
Additional comments	Item non-response rate is not calculated for Crop statistics, it is considered the same as unit non-response rate.	Item non-response rate is not calculated for Crop statistics, it is considered the same as unit non-response rate.	Item non-response rate is not calculated for Crop statistics, it is considered the same as unit non-response rate.	Item non-response rate is not calculated for Crop statistics, it is considered the same as unit non-response rate.	Item non-response rate is not calculated for Crop statistics, it is considered the same as unit non-response rate.	Item non-response rate is not calculated for Crop statistics, it is considered the same as unit non-response rate.

6.3.4. Processing error

Not applicable.

6.3.4.1. Imputation - rate

Not applicable.

6.3.5. Model assumption error

Not applicable.

6.4. Seasonal adjustment

Not applicable.

6.5. Data revision - policy

Not applicable.

6.6. Data revision - practice

Not applicable.

6.6.1. Data revision - average size

Not applicable.

7. Timeliness and punctuality

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7.1. Timeliness

Time lag - first result

Time lag - final result

Cereals

Dried pulses and protein crops

Root crops

Oilseeds

Other industrial crops

Plants harvested green

Vegetables and melons

Strawberries

Cultivated mushrooms

Fruit trees

Berries

Nut trees

Citrus fruit trees

Vineyards

Olive trees

How many main data releases there are yearly in the national crop statistics for the following types of crops?

How many of them are forecasts (releases before the harvest)?

When was the first forecasting published for the crop year on which is reported? (day/month/year)

26/01/2022

04/07/2022

26/01/2022

04/07/2022

16/10/2022

04/07/2022

When were the final results published for the crop year on which is reported? (day/month/year)

23/02/2023

Additional comments

7.2. Punctuality

See the European level Quality Report

7.2.1. Punctuality - delivery and publication

See the European level Quality Report

8. Coherence and comparability

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8.1. Comparability - geographical

Not applicable.

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

8.2. Comparability - over time

Length of comparable time series

not applicable

	Crops from arable land (Table 1)	Vegetables, melons and strawberries (Table 2)	Permanent crops (Table 3)	Agricultural land use (Table 4)
Have there been major breaks in the time series in the previous 5 years?	YES	YES	NO	NO
If yes, to which were they related?	Methods	Definitions
If other, which?
Which items were affected?	C1420 - Spring cereal mixtures (mixed grain other than maslin) C1900 - Other cereals n.e.c. (buckwheat, millet, canary seed, etc.) I2200 - Hemp I6000 - Energy crops n.e.c. I9000 - Other industrial crops n.e.c. G9900 - Other plants harvested green from arable land n.e.c.	V9000 - Other fresh vegetables n.e.c.
Year of break (number)	2023	2023
Impact on comparability	Moderate	Moderate
Additional comments	Until 2022, a statistical survey was used to obtain data on sown areas of crops. From 2023 onwards, administrative data source (IACS) has been introduced. More precise classification of individual crops has caused year-to-year differences and breaks in the time series for the listed crops.	V9000 - Other fresh vegetables n.e.c.: Gourds and pumpkins (V3430), Watermelons (V3520), Asparagus (V2600), Other root, tuber and bulb vegetables n.e.c (V4900), Other brassicas n.e.c. (V1900), Other leafy vegetables or stalked vegetables n.e.c. (V2900), Other fresh pulses n.e.c. (V5900), Other vegetables cultivated for fruit n.e.c. (V3900), and Other fresh pulses n.e.c. (V5900) are included until 2022; from 2023 onwards, these items are reported separately (new data collection).

8.2.1. Length of comparable time series

not applicable

8.3. Coherence - cross domain

With which other data sources the crop statistics data have been compared?	IACS Other
If others, which?	IFS 2020, Vineyard survey 2020.
If no comparisons have been made, why not?

Differences between ACS and other data sources (%)

Results of comparisons	IFS 2020	Vineyard survey 2020	IACS	Other source(s)	In case of other sources, which?
Cereals			+6,1
Dried pulses and protein crops
Root crops			+1.8
Oilseeds			-0.8
Other industrial crops (than oilseeds)
Plants harvested green
Total vegetables, melons and strawberries			-5.1
Vegetables and melons			-5.6
Strawberries			+9,3
Cultivated mushrooms
Total permanent crops	+7.3
Fruit trees	-5.7
Berries
Nut trees
Citrus fruit trees
Vineyards	+4.0	-3.6
Olive trees
If there were considerable differences, which factors explain them?	Different results are caused mainly by i) thresholds used in FSS (5 ha of UAA, 0.3 ha of orchards, 0.1 ha of vineyards while no thresholds applied in ACS ii) different reference dates (31/5/2022 for ACS; 26/10/2020 for IFS)		Until 2022, the IACS classifies crops by species, not by their purpose of use (green/grain), so some ACS items cannot be compared (this concerns mainly ‘Dried pulses and protein crops’ and ’Plants harvested green’).

8.4. Coherence - sub annual and annual statistics

Not applicable.

8.5. Coherence - National Accounts

Not applicable.

8.6. Coherence - internal

Not applicable.

9. Accessibility and clarity

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9.1. Dissemination format - News release

Availability	Links
YES	https://www.czso.cz/csu/czso/agriculture

9.2. Dissemination format - Publications

	Availability	Links
Publications	Electronic	https://www.czso.cz/csu/czso/zemedelstvi-publikace
Publications in English	Electronic	https://www.czso.cz/csu/czso/agriculture-publications

9.3. Dissemination format - online database

Data tables - consultations

not applicable

	Availability	Links
On-line database accessible to users	YES	https://vdb.czso.cz/vdbvo2/faces/en/index.jsf?page=statistiky&katalog=30840&akt=218
Website	National language English	https://www.czso.cz/csu/czso/zemedelstvi_zem https://www.czso.cz/csu/czso/agriculture_ekon

9.4. Dissemination format - microdata access

Availability	Links
NO

9.5. Dissemination format - other

Not applicable.

9.6. Documentation on methodology

	Availability	Links
Methodological report	National language English	https://www.czso.cz/csu/czso/metodika-statistiky-rostlinne-vyroby https://www.czso.cz/csu/czso/crop-production-statistics-methodology
Quality Report	English	https://www.czso.cz/csu/czso/agriculture-quality-reports
Metadata	National language English	https://www.czso.cz/csu/czso/databaze_metainformaci https://www.czso.cz/csu/czso/metainformation_database
Additional comments

9.7. Quality management - documentation

Not applicable.

9.7.1. Metadata completeness - rate

Not applicable.

9.7.2. Metadata - consultations

Not applicable.

10. Cost and Burden

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Efficiency gains if compared to the previous quality report?	On-line surveys Further automation Increased use of administrative data Staff further training
If other, which?
Burden reduction measures since the previous reference year	More user-friendly questionnaires Easier data transmission
If other, which?

11. Confidentiality

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11.1. Confidentiality - policy

Restricted from publication

11.2. Confidentiality - data treatment

Restricted from publication

12. Comment

Related metadata

Annexes