Crop production (apro_cp)

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

Compiling agency: Central Statistics Office, Skehard Road, Cork, Ireland


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: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Central Statistics Office, Skehard Road, Cork, Ireland
1.2. Contact organisation unit

Agriculture Surveys
1.5. Contact mail address

Central Statistics Office, Skehard Road, Cork, Ireland


2. Statistical presentation Top
2.1. Data description

Annual crop statistics provide statistics on the area under main arable crops, vegetables, and permanent crops, as well as production, yield and humidity levels.  The statistics are collected from a wide variety of sources: surveys, administrative records, 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 regional data also exists for some crops (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
3.1. Source data

  Source 1 Source 2 Source 3 Source 4
Have new data sources been introduced since the previous quality report?  NO      
If yes, which new data sources have been introduced since the previous quality report?
Type of source?
To which Table (Reg 543/2009) do they contribute?
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


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 Expert estimate

Teagasc Expert Estimate (Teagasc is the agriculture and food development authority in Ireland. Its mission is to support science-based innovation in the agri-food sector and the broader bioeconomy that will underpin profitability, competitiveness and sustainability).

  
Final area under cultivation Administrative data

IACS
Production Other

Not applicable

NSI Calculation (using IACS & Teagasc Expert estimates)
Yield Expert estimate

Teagasc Expert Estimate
Non-existing and non-significant crops Administrative data
Expert estimate

 

 

IACS

Teagasc Expert Estimate

 
Table 2: Vegetables, melons and strawberries       
Early estimates for harvested areas Other

NSI estimate, with input from crop experts in Teagasc
Final harvested area Administrative data
Other

IACS
 

NSI estimate with input from crop experts in Teagasc 
Production Other

1.Ministry of Agriculture (MoA) Horticulture report. This is a summary table which we receive from the MoA listing areas and/or production for selected fruits and vegetables. This is provided directly to the NSI.

2.NSI Calculations (using IACS, MoA report & Teagasc Expert estimates)
Non-existing and non-significant crops Administrative data
Other

 IACS

MoA Horticulture report. This is a summary table which we receive from the Irish MoA listing areas and/or production for selected fruits and vegetables. This is provided directly to the NSI.
Table 3: Permanent crops      
Early estimates for production area Other

NSI estimate. In the absence of early estimates from the MoA, we carry Year T-1 values until such time as we receive IACS data from the MoA.
Final production area Survey
Administrative data

Orchard Survey (for apples every 5 years)

IACS
Production Survey

Orchard Survey (for apples every 5 years)
Non-existing and non-significant crops Administrative data
Expert estimate
Other

 

IACS
 
Teagasc Expert Estimate

MoA Horticulture report. This is a summary table which we receive from the Irish MoA listing areas and/or production for selected fruits and vegetables. This is provided directly to the NSI.
Table 4: Agricultural land use      
Main area Survey
Administrative data

June Crops & Livestock Survey

IACS
Non-existing and non-significant crops Administrative data

 

IACS
Total number of different data sources

7

  
Additional comments

Data source for the humidity

Put x, if used

Surveyed: farmers report the humidity

 x

Surveyed: farmers convert the production/yield into standard humidity     

 

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

 x

Other type

 

If other type, please explain

 

Additional information

 

In the Teagasc survey, farmers report humidity. However, this is not converted into standard humidity.

    


Which method is used for calculating the yield for main arable crops? production divided by harvested area
If another method, describe it.




 
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

IACS

Teagasc expert estimate

Other - includes June Crops & Livestock Survey and Crop Yield Survey
Planning (month-month/year)

Sept (year t)

Periodically according to Reg 543/2009 requirements for early estimates.

Depends on survey
Preparation (month-month/year)

Sept (year t)

Periodically according to Reg 543/2009 requirements for early estimates.

Depends on survey
Data collection (month-month/year)

Sept (year t)

Periodically according to Reg 543/2009 requirements for early estimates.

Depends on survey
Quality control (month-month/year)

Sept (year t)

Periodically according to Reg 543/2009 requirements for early estimates.

Depends on survey
Data analysis (month-month/year)

Sept (year t)

Periodically according to Reg 543/2009 requirements for early estimates.

Depends on survey
Dissemination (month-month/year)

Oct (year t)

Periodically according to Reg 543/2009 requirements for early estimates.

Depends on survey
If there were delays, what were the reasons?

Provisonal IACS file received in Sept (year t). Final IACS file received in Feb (year t+1)

Depends on survey






 
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

Area under cultivation - the area under cultivation is the sown area. After the harvest, it does not exclude ruined areas (e.g. due to natural disasters).
Are there differences between the national methodology and the methodology described in the Handbook concerning e.g. the item and aggregate calculations? YES

In Ireland there is no additional information collected on the actual area harvested. This means that the reported value for area after harvest does not exclude non-harvested area (e.g. area ruined by natural disasters or area not harvested for economic reasons).
Are special estimation/calculation methods used for main crops from arable land? YES

The reported value for area after harvest does not exclude non-harvested area (e.g. area ruined by natural disasters or area not harvested for economic reasons). This means that the reported yield is lower than the real yield as ruined & non-harvested areas are not included in the calculation of yield.
Are special estimation/calculation methods used for vegetables or strawberries? NO
Are special estimation/calculation methods used for permanent crops for human consumption? NO
Are special estimation/calculation methods used for main land use? YES

As all Agriculture land use (principally grassland) is not registered in the Integrated Administration and Control System (IACS), the Irish NSI conducts an annual crops survey in June. Results for grassland agricultural land use area are based on a matched sample methodology. A series of SAS programs are run to identify all farmers who responded to the survey in both the current year and in the previous year. Then, for each categories of grassland, the percentage change between the two years is calculated. This percentage change is then applied to the published totals for the previous year to come up with estimates for the totals for the current year.
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)
In case data are delivered for one of the items below, describe the crop species included in the item: R9000 - Other root crops n.e.c.
G2900 - Other leguminous plants harvested green n.e.c.
G9100- Other cereals harvested green (excluding green maize)
G9900 - Other plants harvested green from arable land n.e.c.
V1900 - Other brassicas n.e.c.
V2900 - Other leafy or stalked vegetables n.e.c.
V4900 - Other root, tuber and bulb vegetables n.e.c.

R9000: fodder beet, kale, forage rape, sugar beet, radish, swede, turnips

G2900: Alfalfa,Red Clover, clover, lupins, vetch, mustard

G9100: rye, spring triticale, winter triticale

G9900: Arable Silage, Mixed Cropping

V1900: Kohl rabi, Pak Choi

V2900: rhubarb, rocket, Perpetual Spinach

V4900: Horseradish, Parsnips, fennel


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).

Comprehensive area data from both Census of Agriculture 2010 and IACS administrative data used to create strata and ensure adequate coverage and representativity.
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)

April 2023 in advance of conducting Integrated Farm Statistics survey 2023.
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

June Crops & Livestock Survey/FSS
Which survey method was used? Postal questionnaire filled in by respondent
Telephone interview, paper questionnaire
If 'other', please specify
Please provide a link to the questionnaire

https://www.cso.ie/en/media/csoie/methods/cropsandlivestocksurveyjunefinal/Agriculture_June_Survey_Form_June_2022.pdf
Data entry method, if paper questionnaires? Optical


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

IACS
Description

IACS -Single Payment Scheme
Data owner (organisation)

Minsistry of Agriculture
Update frequency Every 6 months or more frequently
Reference date (month/year)

01/2022 and 09/2022
Legal basis

Single Payment Scheme-Council Regulation No 1782/2003
Reporting unit

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

Unique Code (Herd Number)
Percentage of mismatches (%)

Not recorded
How were the mismatches handled?

Matched on name, address or another variable
Degree of coverage (holdings, e.g. 80%)

97% of holdings
Degree of completeness (variables, e.g. 60%)

95%
If not complete, which other sources were used ?

June Crops & Livestock Survey
Were the data used for sample frame? Sample frame
Data used for other purposes, which?

yes, updating register.
Which variables were taken from administrative sources?

All Crop variables (excluding strawberries)
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?

Compare with expert estimates/forecasts from Teagasc (which is the agriculture and food development authority in Ireland. Its mission is to support science-based innovation in the agri-food sector and the broader bioeconomy that will underpin profitability, competitiveness and sustainability)
What were the possible limitations, drawbacks of using the data from administrative source(s)?

Difficult to use the 'unique identifier' as some holdings may have several identifiers attached.


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

Crop Yield
Data owner (organisation)

Teagasc (National agricultural research body)
Update frequency (e.g. 1 year or 6 months) Yearly
Reference date (Month/Year  e.g. 1/22 - 8/22)

01/06/2022
Legal basis
Use purpose of the estimates?

Crop yields
What kind of expertise the experts have?

Crop experts/Crop advisers
What kind of estimation methods were used?

Yield readings on harvest for each NUTS4 region
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?

Compare against other national publications/estimates in agri sector
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
Aggregate calculations
Other
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 the previous quality report? Improvement Improvement Improvement Improvement Improvement
Is there a quality management process in place for crop statistics? YES        
If, yes, what are the components?

Relevance, Accuracy, Reliability, Timeliness, Punctuality, Coherence, Compatability, Access, and Clarity.

        
Is there a quality report available? YES        
If yes, please provide a link(s)

https://www.cso.ie/en/media/csoie/methods/cropsandlivestocksurveyjunefinal/Crops_and_Livestock_June_Survey_Quality_Report_2022.pdf

        
To which data source(s) is it linked?

Crops and Livestock June Survey

        
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? Quality report        
If, other, please specify        
Additional comments        






 
4.2. Quality management - assessment

See the European Level Quality Report.


5. Relevance Top
5.1. Relevance - User Needs

 

Are there known unmet user needs? 5.1.1. Are there known unmet user needs?
Describe the unmet needs 5.1.2. Describe the unmet needs
Does the Regulation 543/2009 meet the national data needs? 5.1.3. Does the Regulation 543/2009 meet the national data needs?
Does the ESS agreement meet the national needs? 5.1.4. Does the ESS agreement meet the national needs?
If not, which additional data are collected? 5.1.5. If not, which additional data are collected?
Additional comments 5.1.6. Additional comments


 


 


 


 

 
5.2. Relevance - User Satisfaction

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

No formal satisfaction survey carried out. However, this NSI chairs an Agricultural Statistics Liasion Group of key users. The needs of these key users are discussed at length at these meetings and there is regular contact amongst members between meetings.






 
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

June Crops & Livestock Survey
Sampling basis? Multiple frame
If 'other', please specify
Sampling method? Stratified
If stratified, number of strata?

20
If stratified, stratification basis? Size
Specialisation
If 'other', please specify
Size of total population

139,860
Size of sample

c.10,000
Which methods were used to assess the sampling error? 
If other, which?
Which methods were used to derive the extrapolation factor? 
If other, which?
If CV (co-efficient of variation) was calculated, please describe the calculation methods and formulas
If the results were compared with other sources, please describe the results
Which were the main sources of errors?


Sampling error - indicators

Not applicable


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
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 %)
Additional comments

As almost all the annual crop variables are provided by IACS dataset, this June Survey is mainly used to collect proportional breakdowns of areas already collected in IACS, eg, area under temporary vs permanent grass.

            




 
6.3. Non-sampling error

See items 6.3.1-6.6
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

June Crops & Livestock Survey
Error type Under-coverage
Degree of bias caused by coverage errors Unknown
What were the reasons for coverage errors?

IACS database does not include growers without Basic Payment Scheme entitlements.
Which actions were taken for reducing the error or to correct the statistics?

Refer to other horticultural publications/reports for state totals 
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

June Crops & Livestock Survey
Was the questionnaire based on usual concepts for respondents? YES
Number of surveys already performed with the current questionnaire (or a slightly amended version of it)?

3
Preparatory (field) testing of the questionnaire? NO
Number of units participating in the tests? 
Explanatory notes/handbook for surveyors/respondents?  YES
On-line FAQ or Hot-line support for surveyors/respondents? YES
Were pre-filled questionnaires used? 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
If yes, describe the actions and their impact

Validation checks on data entry; validation against previous returns; vlaidation against IACS data.






 
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

June Crops & Livestock Survey
Unit level non-response rate (in %)

14%
Item level non-response rate (in %)              
               - Min% / item

See additional comments
               - Max% / item

See additional comments
               - Overall%

See additional comments
Was the non-response been treated ? NO
Which actions were taken to reduce the impact of non-response?

See additional comments
Which items had a high item-level non-response rate? 

See additional comments
Which methods were used for handling missing data?
(several answers allowed)
In case of imputation which was the basis?
In case of imputation, which was the imputation rate (%)?
Estimated degree of bias caused by non-response? Unknown
Which tools were used for correcting the data?

See additional comments
Which organisation did the corrections?

See additional comments
Additional comments

In a postal survey such as this, it is difficult to identify if item non-response is actually non-response or simply not relevant to the respondent.

As almost all of the annual crop variables are provided by the IACS dataset, this June Survey is mainly used to collect proportional breakdowns of areas already collected in IACS, e.g. area under temporary vs permanent grass.




 
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?

3

3

3

3

1

0
How many of them are forecasts (releases before the harvest)?

0

0

0

0

0

1
When was the first  forecasting published for the crop year on which is reported? (day/month/year)
When were the final results published for the crop year on which is reported? (day/month/year) 27/03/2023 26/09/2022 27/03/2023 26/09/2022 27/03/2023 26/09/2022
Additional comments

Timeliness may vary in years where structural farm surveys are carried out

Timeliness may vary in years where structural farm surveys are carried out

Timeliness may vary in years where structural farm surveys are carried out

Timeliness may vary in years where structural farm surveys are carried out

Timeliness may vary in years where structural farm surveys are carried out

Timeliness may vary in years where structural farm surveys are carried out




 
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
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? NO NO NO NO
If yes, to which were they related?
If other, which?
Which items were affected?
Year of break (number)
Impact on comparability
Additional comments





 
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?  Other
If others, which?

Orchard survey
If no comparisons have been made, why not?

Administrative data is used as the source file for both Crop Statistics and FSS crop items.


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    
Dried pulses and protein crops    
Root crops    
Oilseeds    
Other industrial crops (than oilseeds)    
Plants harvested green    
Total vegetables, melons and strawberries    
Vegetables and melons    
Strawberries    
Cultivated mushrooms  
Total permanent crops  
Fruit trees

Not applicable.
Berries  
Nut trees  
Citrus fruit trees

Not applicable.
Vineyards
Olive trees

Not applicable.
If there were considerable differences, which factors explain them?  





 
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
9.1. Dissemination format - News release

Availability Links
NO






 
9.2. Dissemination format - Publications

  Availability Links
Publications Electronic

https://www.cso.ie/en/releasesandpublications/er/clsjf/cropsandlivestocksurveyjunefinal2019/
Publications in English Electronic

https://www.cso.ie/en/releasesandpublications/er/clsjf/cropsandlivestocksurveyjunefinal2019/






 
9.3. Dissemination format - online database

Data tables - consultations

not applicable


  Availability Links
On-line database accessible to users YES

http://www.cso.ie/px/pxeirestat/Database/eirestat/Agriculture%20Area%20Used%20and%20Crop%20Production/Agriculture%20Area%20Used%20and%20Crop%20Production_statbank.asp?SP=Agriculture Area Used and Crop Production&Planguage=0
Website None

http://www.cso.ie/px/pxeirestat/Database/eirestat/Agriculture%20Area%20Used%20and%20Crop%20Production/Agriculture%20Area%20Used%20and%20Crop%20Production_statbank.asp?SP=Agriculture Area Used and Crop Production&Planguage=0





 
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
Quality Report English
Metadata
Additional comments

Definitions and classifications- http://www.cso.ie/px/pxeirestat/Database/eirestat/Agriculture%20Area%20Used%20and%20Crop%20Production/Agriculture%20Area%20Used%20and%20Crop%20Production_statbank.asp?SP=Agriculture Area Used and Crop Production&Planguage=0

  






 
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 quality report?
If other, which?
Burden reduction measures since the previous reference year  Less variables surveyed
Less respondents
More user-friendly questionnaires
Multiple use of the collected data
If other, which?






 


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


12. Comment Top

As almost all of the annual crop variables are provided by IACS dataset, the June Survey is mainly used to collect proportional breakdowns of areas already collected in IACS, e.g. area under temporary vs permanent grass.


Related metadata Top


Annexes Top
ACS Quality Report - List of Sources