Crop production (apro_cp)

National Reference Metadata in ESS Standard for CROPS Reports Structure (ESQRSCP)

Compiling agency: Czech Statistical Office

Time Dimension: 2016-A0

Data Provider: CZ1

Data Flow: CROPROD_ESQRSCP_A


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)
 



For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT

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1. Contact Top
1.1. Contact organisation

Czech Statistical Office

1.2. Contact organisation unit

Department of Agriculture, Forestry and Environment Statistics

1.5. Contact mail address

Na padesátém 81, 100 82 Praha 10, Czech Republic


2. Statistical presentation Top
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 Top

See points 3.1, 3.2, 3.3 and 3.4

3.1. Source data

  Source 1 Source 2 Source 3 Source 4
Have new data sources been introduced since the previous Quality Report (2014)?  YES      
If yes, which new data sources have been introduced since the previous quality report (2014)?

Vineyard register

Type of source? Administrative data
To which Table (Reg 543/2009) do they contribute? Table3
Have some data sources been dropped since the previous Quality Report (2014)? YES      
Which data sources have been dropped since the previous quality report (2014)?

Survey on winter crops

Type of source? Survey
Why have they been dropped?

Reduction of respondents' burden.

The area of winter crops has been included in the Final Harvest Survey since 2014.

Additional comments


Data sources: Please indicate the data sources which were used for the reference year 2016

  Type Name(s) of the sources If other type, which kind of data source?
Table 1: crops from arable land      
Early estimates for areas Expert estimate
Survey

Final Harvest Survey

Area Estimates as at 31.5.

Areas under Crops Survey

Final area under cultivation Survey

Areas under Crops Survey

Final Harvest Survey

Production Survey

Areas under Crops 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.

Final Harvest Survey

Yield Survey

Areas under Crops 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.

Final Harvest Survey

Non-existing and non-significant crops Other

State Agriculture Intervention Fund (SZIF), previous crops surveys, FSS.

Table 2: Vegetables, melons and strawberries       
Early estimates for harvested areas Expert estimate
Survey

Area Estimates as at 31.5.

Areas under Crops Survey

Final harvested area Survey

Areas under Crops Survey

Production Survey
Harvest Estimates as at 15.9.
Final Harvest Survey
Non-existing and non-significant crops Other

Vegetable Growers Union, previous crops surveys.

Table 3: Permanent crops      
Early estimates for production area Expert estimate
Survey

Area Estimates as at 31.5.

Areas under Crops Survey

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

Orchard Register, previous crops surveys.

Table 4: Agricultural land use      
Main area Survey

Areas under Crops Survey

Final Harvest Survey

Non-existing and non-significant crops Other

IACS (LPIS), previous crops surveys, FSS.

Total number of different data sources

8

   
Additional comments

Information about not existing and non-significant crops come from different sources: previous crops surveys, FSS, IACS (LPIS), State Agriculture Intervention Fund (SZIF), Orchard Register, Vegetable Growers Union, State Variety Book, National List of plant varieties registered in the Czech Republic for certification and marketing.

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
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)

2-3/2015

2-3/2015

2-3/2015

2-3/2015

2-3/2015

2-3/2015

Preparation (month-month/year)

4-5/2016

10-11/2016

4-5/2016

4-7/2016

4-8/2016

4-9/2016

Data collection (month-month/year)

5-6/2016

11-12/2016

6/2016

7/2016

8/2016

9/2016

Quality control (month-month/year)

6/2016

12/2016-2/2017

6/2016

7/2016

8/2016

9/2016

Data analysis (month-month/year)

6-7/2016

1-2/2017

6-7/2016

7-8/2016

8-9/2016

9-10/2016

Dissemination (month-month/year)

7/2016

2/2017

7/2016

8/2016

9/2016

10/2016

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
C1500 - Grain maize and corn-cob-mix
C1900 - Other cereals n.e.c. (buckwheat, millet, canary seed, etc.)
P9000 - Other dry pulses and protein crops n.e.c.
I1111 - Winter rape and turnip rape seeds
I1190 - Other oilseed crops n.e.c.
I9000 - Other industrial crops n.e.c.
G3000 - Green maize
F1210 - Peaches

C1110 - Common wheat and spelt: Durum wheat (C1120) is included.

C1500 - Grain maize and corn-cob-mix: includes only grain maize; Corn-cob-mix is excluded.

C1900 - Other cereals n.e.c. (buckwheat, millet, canary seed, etc.): Sorghum (C1700) is included.

P9000 - Other dry pulses and protein crops n.e.c.: Broad and field beans (P1200) is included until 2017. Broad and field beans are collected separately since 2018.

I1111 - Winter rape and turnip rape seeds: Spring rape (I1112) is included. Turnip rape is excluded.

I1190 - Other oilseed crops n.e.c.: Turnip rape is included.

I9000 - Other industrial crops n.e.c.: Fibre flax (I2100) is included. Chicory is excluded since 2018.

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: 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

V1900 - Other brassicas n.e.c.: includes only Kohlrabi (V1910)

V4900 - Other root, tuber and bulb vegetables n.e.c.: includes only Parsley 

V9000 - Other fresh vegetables n.e.c.: includes 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), Other fresh pulses n.e.c (V5900). Peppers (V3600), Spinach (V2500) and Beetroot (V4300) are included until 2017; they are collected separately since 2018. Chicory (V2700) is included since 2018.

F3900 - Other berries n.e.c.: includes only gooseberries.

PECR9 - Other permanent crops: includes short rotation coppices, weaving plants, Christmas trees (since 2016).


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 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 special 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 on the basis of results of all agricultural surveys conducted by the CZSO and available administrative sources, especially IACS (LPIS).

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)

9/2016

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

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
Telephone interview, paper questionnaire
Postal questionnaire filled in by respondent
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

http://apl.czso.cz/pll/vykazy/pdfsoub?xid=2306&xtyp=V

http://apl.czso.cz/pll/vykazy/pdfsoub?xid=2315&xtyp=V

http://apl.czso.cz/pll/vykazy/pdfsoub?xid=2282&xtyp=V

http://apl.czso.cz/pll/vykazy/pdfsoub?xid=2284&xtyp=V

http://apl.czso.cz/pll/vykazy/pdfsoub?xid=2287&xtyp=V

http://apl.czso.cz/pll/vykazy/pdfsoub?xid=2285&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

Description

Vineyard register covers the holdings growing vines.

Data owner (organisation)

Central Institute for Supervising and Testing in Agriculture (subordinated to the Ministry of Agriculture of the Czech Republic).

Update frequency Continuous
Reference date (month/year)
Legal basis

Act No 321/2004 on viticulture and wine production and on amendments to certain related acts, as amended (the Viticulture and Wine Production Act).

Reporting unit

Holdings growing vines.

Identification variable (e.g. address, unique code, etc.)

Name, Address, unique ID of the holding, unique code of wineyards.

Percentage of mismatches (%)
How were the mismatches handled?
Degree of coverage (holdings, e.g. 80%)
Degree of completeness (variables, e.g. 60%)
If not complete, which other sources were used ?
How were the data used?
Directly for estimates
Data used for other purposes, which?
Which variables were taken from administrative sources?

Area of vineyards.

Were there any differences in the definition of the variables between the administrative source and those described in the Regulation? 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?
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. 1/16 - 8/16)

5/2016

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 Top
4.1. Quality assurance

  Completeness Punctuality Accuracy Reliability Overall quality
How would you describe the overall quality development since 2014? 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?
       
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 Top

See points 5.1 and 5.2

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 Top

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

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?

140

140

108

115

67

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

46076

46076

46076

46076

46076

46076

Size of sample

9925

5430

2008

2375

1996

2484

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 sampling error was calculated in relative terms as coefficient of variation (CV) of the main variable. The formula of the variance estimator in the whole stratum h:
 
 
Index h (h = 1, 2, H) denotes number of stratum
N h: Number of farms in stratum h (by register);
n h: Number of selected farms in stratum h;
y hi: Value of variable y of i-th farm in stratum h;
y h: Mean of variable y of responding farms in stratum h

See Survey 1

See Survey 1

See Survey 1

See Survey 1

See Survey 1

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
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.
Cereals for the production of grain (in %)

0.8

0.3

0.4

0.2

0.1

0.3

Dried pulses and protein crops (in %)

0.7

1.2

1.0

1.0

Root crops (in %)

0.5

0.8

1.6

1.3

0.6

0.6

Oilseeds (in %)

0.7

0.7

0.3

0.3

0.1

0.3

Other industrial crops (included all industrial crops besides oilseeds)  (in %)

1.7

2.7

Plants harvested green from arable land (in %)

0.8

0.7

0.6

Total vegetables, melons and strawberries (in %)

1.6

1.9

2.4

Cultivated mushrooms (in %)
Total permanent crops (in %)

3.9

3.4

Fruit trees (in %)

5.5

6.1

5.4

4.1

Berries (in %)
Nut trees (in %)
Citrus fruit trees (in %)
Vineyards (in %)

4.1

3.6

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

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; particularly LPIS)

Regular update of the Farm Register from available registers (IACS; particularly LPIS).

Regular update of the Farm Register from available registers (IACS; particularly LPIS).

Regular update of the Farm Register from available registers (IACS; particularly LPIS).

Regular update of the Farm Register from available registers (IACS; particularly LPIS).

Regular update of the Farm Register from available registers (IACS; particularly LPIS).

Additional comments




 

6.3.1.1. Over-coverage - rate

Not applicable

6.3.1.2. Common units - proportion

not applicable

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

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)?

15

15

15

15

15

15

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
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

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 %)

3.0

2.2

0.9

1.3

1.2

1.7

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? 

I2200 Hemp, C1220 Winter cereal mixtures, I6000 Energy crops n.e.c.

C1220 Winter cereal mixtures, I6000 Energy crops n.e.c., I2200 Hemp

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.

6.3.3.1. Unit non-response - rate

Not applicable

6.3.3.2. Item non-response - rate

Not applicable

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 Top
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?

7

4

6

7

2

3

5

4

5

2

2

3

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

5

2

4

5

1

3

2

3

1

1

2

When was  the first  forecasting published for crop year 2016? (day/month/year) 25/01/2016 04/07/2016 04/07/2016 25/01/2016 04/07/2016 04/07/2016 04/07/2016 04/07/2016 04/07/2016 04/07/2016 14/10/2016 04/07/2016
When were the final results published for crop year 2016? (day/month/year) 13/02/2017 13/02/2017 13/02/2017 13/02/2017 13/02/2017 13/02/2017 13/02/2017 13/02/2017 13/02/2017 13/02/2017 13/02/2017 13/02/2017
Additional comments
7.1.1. Time lag - first result
7.1.2. Time lag - final result
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 Top

See points 8.2 and 8.3

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 since 2013? YES YES YES YES
If yes, to which were they related? Definitions
Items
Items
Methods
Definitions
Items Definitions
If other, which?
Which items were affected? I6000 - Energy crops n.e.c.
P9000 - Other dry pulses and protein crops n.e.c.
I9000 - Other industrial crops n.e.c.
V2000 - Leafy and stalked vegetables (excluding brassicas)
V2300 - Lettuces
V3000 - Vegetables cultivated for fruit (including melons)
V4000 - Root, tuber and bulb vegetables
V9000 - Other fresh vegetables n.e.c.
F3000 - Berries (excluding strawberries) E0000 - Seeds and seedlings
Year of break (number)

2016, 2018

2017, 2018

2018

2014

Impact on comparability Moderate Moderate Moderate Moderate
Additional comments

I9000 - Energy crops: Short rotation coppices is excluded since 2016.

P9000 - Other dry pulses and protein crops n.e.c.: Broad and field beans (P1200) is excluded since 2018.

I9000 - Other industrial crops n.e.c.: Chicory is excluded since 2018.

V 2300 - Lettuces: all kinds of lettuces are included since 2017, only Head lettuce (Lactuca sativa var. Capitata) is included till 2016.

V2000 - Leafy and stalked vegetables: Spinach (V2500) is included since 2018 (new data collection)

V3000 - Vegetables cultivated for fruit: Peppers (V3600) is included since 2018 (new data collection)

V4000 - Root, tuber and bulb vegetables: Beetroot (V4300) is included since 2018 (new data collection)

V9000 - Other fresh vegetables n.e.c.: Spinach (V2500), Peppers (V3600) and Beetroot (V4300) are excluded since 2018; they are reported separately (new data collection). Chicory (V2700) is included since 2018.

T2: Sowing area as at 31 May of vegetables was reported until 2017. Harvested area of vegetables is reported since 2018.

Berries (F3000): Raspberries (F3200) is included since 2018 (new data collection).

E0000 'Seeds and seedlings': grass and forage plants harvested for seeds included since 2014.

8.2.1. Length of comparable time series

not applicable

8.3. Coherence - cross domain

  Data source
With which other data sources the crop statistics data have been compared?  Farm structure survey 2016
Vineyard survey 2015
If others, which?
If no comparisons have been made, why not?


Results of comparisons FSS 2016 (if available) Vineyard survey 2015 IACS Other source(s)  In case of other sources, which?
Cereals

+0.2%

 
Dried pulses and protein crops

+0.6%

 
Root crops

+1.0%

 
Oilseeds

+1.0%

 
Other industrial crops (than oilseeds)

-5.4%

 
Plants harvested green

+1.3%

 
Total vegetables, melons and strawberries

+4.9%

 
Vegetables and melons

+4.7%

 
Strawberries

+8.1%

 
Cultivated mushrooms  
Total permanent crops

+9.4%

 
Fruit trees

+14.2%

 
Berries  
Nut trees  
Citrus fruit trees  
Vineyards

+13.8%

-3.4%

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, 1 ha of orchards, 0.35 ha of vineyards, 0.25 ha of vegetables and strawberries while no thresholds applied in ACS

ii) different reference dates (31/5/2016 for ACS; 30/9/2016 for FSS)

 
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 Top

See points 9.1, 9.2, 9.3, 9.5 and 9.6

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

9.3.1. Data tables - consultations

not applicable

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/1-zem_m

https://www.czso.cz/csu/czso/2-zem_m

Quality Report English

https://www.czso.cz/csu/czso/agriculture-quality-reports

Metadata National language

https://www.czso.cz/csu/czso/databaze_metainformaci

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 Top

Efficiency gains if compared to the previous reference year (2013) On-line surveys
Further automation
Staff further training
Increased use of administrative data
If other, which?
Burden reduction measures since the previous reference year  Less frequent surveys
More user-friendly questionnaires
Easier data transmission
If other, which?


11. Confidentiality Top
Restricted from publication
11.1. Confidentiality - policy
Restricted from publication
11.2. Confidentiality - data treatment
Restricted from publication


12. Comment Top


Related metadata Top


Annexes Top
List of sources