Crop production (apro_cp)

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

Compiling agency: DEPARTMENT FOR ENVIRONMENT FOOD & RURAL AFFAIRS

Time Dimension: 2014-A0

Data Provider: UK6

Data Flow: CROPROD_ESQRS_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

DEPARTMENT FOR ENVIRONMENT FOOD & RURAL AFFAIRS

1.2. Contact organisation unit

DEFRA STATISTICS

1.5. Contact mail address

ROOM 201, FOSS HOUSE, KINGS POOL, 1-2 PEASHOLME GREEN, YORK YO1 7PX, UNITED KINGDOM


2. Statistical presentation Top
2.1. Data description
Main changes since 2011
Which new data sources have been introduced since the previous quality report (2011)? None        
Type of source?          
To which Table (Reg 543/2009) do they contribute?          
Which data sources have been dropped since the previous quality report (2011)? None        
Type of source?          
Why have they been dropped?          
  Completeness Punctuality Accuracy Reliability Overall quality
How would you describe the overall quality development since 2011? Stable Stable Stable Stable Stable
Additional comments The main source of agricultural statistics in the UK is the annual June Survey of Agriculture, which collects detailed information on crop and grassland areas and livestock populations. The survey has been running since 1866 and is a very stable and reliable source. The June survey is then used to target other, smaller surveys that collect information on cereal and oilseed rape production and yields. Information on detailed horticultural areas and production are sourced from industry experts' information.
2.2. Classification system

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.3. Coverage - sector

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.4. Statistical concepts and definitions

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.5. Statistical unit

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.6. Statistical population

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.7. Reference area

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.8. Coverage - Time

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.9. Base period

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.


3. Statistical processing Top

See point 3.1, 3.2, 3.3 and 3.4

3.1. Source data
Data sources: Please indicate the data sources which were used for the reference year 2013
  Data source (indicate the number and the name(s) of data sources)
  Census Sample Survey Administrative Data Expert Estimation  Other
  Number Name(s) Number Name(s) Number Name(s) Number Name(s) Number Name(s)
Table 1: crops from arable land                    
Early estimates for areas 0  n/a 0              
Final area under cultivation 0  n/a 1 June survey of agriculture            
Production 0  n/a 2 Cereal production survey, Oilseed rape production survey            
Yield 0  n/a 2 Cereal production survey, Oilseed rape production survey            
Non-existing and non-significant crops 0  n/a 0              
Table 2: Vegetables, melons and strawberries                     
Early estimates for harvested areas 0  n/a 0              
Final harvested area 0  n/a 1 June survey of agriculture 1 Potato Council Planting Returns        
Production 0  n/a 5 Potato yield panel, Fruit panel survey, Vegetable expert survey, Ornamental expert survey            
Non-existing and non-significant crops 0  n/a 0              
Table 3: Permanent crops                    
Early estimates for production area 0  n/a 0              
Final production area 0  n/a 1 Orchard fruit survey            
Production 0  n/a 2 Fruit panel survey

Ornamentals expert survey

           
Non-existing and non-significant crops 0  n/a 0              
Table 4: Agricultural land use                    
Main area 0  n/a 1 June survey of agriculture            
Non-existing and non-significant crops 0  n/a 0              
Total number of different data sources (no double counting) 0   8   1   0   0  
If the box 'others' is ticked, please specify.          
Additional comments  
3.2. Frequency of data collection
Phases of the data collection Source 1  Source 2  Source  Source 4 Source 5   Source 6  Source 7
Name of the source June survey of agriculture and horticulture Crop production surveys Potato Council Planting Returns Potato Grower Panel Survey Fruit Panel Survey Vegetable Expert Survey Ornamentals Expert Survey
Planning Feb-Apr 2013 May-Jun 2013 April 2013        
Preparation Feb-Apr 2013 May-Jun 2013 April 2013        
Data collection June 2013 Aug-Oct 2013 May-Jun 2013 Sep-Nov 2013 Jan-Feb 2014 Jan-Feb 2014  Jan-Feb 2014
Quality control Jun-Sep 2013 Aug-Oct 2013 Jun 2013 Nov 2013 Feb 2014 Feb 2014  Feb 2014 
Data analysis Aug-Dec 2013 Sep-Dec 2013 Jun 2013 Nov 2013 Mar 2014 Mar 2014  Mar 2014 
Dissemination Aug-Dec 2013 Sep-Dec 2013 Jun 2014 Nov 2013 May 2014 May 2014 May 2014
If there were delays, what were the reasons? None None None None None None None
3.3. Data collection
Definitions
Are the national definitions of cultivation/production area and crops the same as in Reg. 543/2009? Yes
 If not, please explain the differences  

 

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).
 
Is the data collection based on holdings? Yes
If yes, how the holdings were identified?  
If not, on which unit the data collection is based on? n/a
When was last update of the holding register? Continuous updates
Was a threshold applied? Yes
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 0.1%
Dried pulses and protein crops 0.1%
Root crops 0.1%
Oilseeds 0.1%
Other industrial crops (included all industrial crops besides oilseeds)  0.2%
Plants harvested green from arable land 0.2%
Total vegetables, melons and strawberries 0.2%
Vegetables and melons 0.2%
Strawberries 0.2%
Cultivated mushrooms 0% (no thresholds applied to mushrooms)
Total permanent crops  1.9%
Fruit trees 1.9%
Berries 1.9%
Nut trees n/a
Citrus fruit trees n/a
Vineyards 1.9%
Olive trees n/a

 

Survey method (this question block is only for surveys)
  Survey 1  Survey 2 Survey 3  Survey 4 Survey 5  Survey 6
Name of the survey June survey of agriculture Crop production survey/oilseed rape production survey Potato Grower Panel Survey Fruit Panel Survey Vegetables Expert Survey Ornamentals Expert Survey
Which survey method was used? see the options below            
  - Postal questionnaire filled in by respondent Yes Yes Yes Yes No  No
   - Electronic questionnaire filled in by respondent Yes No Yes Yes No  No
   - Telephone interview, paper questionnaire No No No No Yes Yes
   - Telephone interview, electronic questionnaire No No No No No No
   - Face-to-face interview No No No Yes Yes Yes
   - Other No No No No No No
If 'other', please specify            
Data entry method, if paper questionnaires? Manual Manual Manual Manual Manual Manual
Please provide a link to the questionnaire            

 

Administrative data (This question block is only for administrative data)       
  Potato Council Planting Returns
Name of the register Council
Description Data held on the Council database covers every potato crop from 1996 onwards for variety, area, statistical county (old county boundaries). From 2003 it includes market sector data for each crop, and from 2004 accurate georeferences verified via GIS.
Data owner (organisation) Agricultural and Horticultural Development Board
Update frequency 1
Reference date (month/year) Jun 2013
Legal basis Yes
Reporting unit Potato Grower
Identification variable (e.g. address, unique code, etc.) na
Percentage of mismatches (%) na
How were the mismatches handled? na
Degree of coverage (holdings, e.g. 80%) 100%
Degree of completeness (variables, e.g. 60%) 100%
If not complete, which other sources were used ?  
Were the data used for sample frame? No
Were the data used for validation? No
Were the administrative data used directly for the estimates? Yes
Were the data used for other purposes, which? Yes, for payment of levies
Which variables were taken from administrative sources? area
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? na
How were the reliability, accuracy and coherence (comparison to other available data) of the data originated from administrative data source (ex-ante- and/or ex-post) checked? na
What were the possible limitations, drawbacks of using the data from administrative source(s)? None

 

 Expert estimations (This question block is only for expert estimates)      
  Expert estimate 1
Name of the estimation  
Data owner (organisation)  
Update frequency (in months)  
Reference date (Month/Year  e.g. 1/13 - 8/13)  
Legal basis  
For what purposes the expert estimates were used?  
What kind of expertise the experts have?  
Describe in detail the estimation methods used  
Were there any differences in the definition of the variables between the experts' estimates and those described in the Regulation?  
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 (ex-ante- and/or ex-post) assessed?  
What were the possible limitations, drawbacks of using the data from expert estimate(s)?  
 Describe the possible plans to replace the expert estimates by other data sources (e.g. surveys, administrative data)  
Additional comments  

 

 For all data sources  
Note down any other relevant information linked to the methodology,  weather conditions during the agricultural year (reference period)  etc.  
What improvements have been planned for the future?  
3.4. Data validation
Are the data validated before the submission to Eurostat? Yes

If yes, what kind of validation rules are applied (see the options below)

 

 - Logical conisistency

Yes

 - Outliers against time-series

Yes

 - Completeness of data

Yes

 - Aggregates (are parts summed up correctly) 

Yes

 - Cross-domain coherance

Yes

 - Others, which?

 

 Are the validation rules documented?

No

 Please provide the link to the validation rules or attach a file

 
3.5. Data compilation

Not relevant

3.6. Adjustment

Not relevant


4. Quality management Top
4.1. Quality assurance

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

4.2. Quality management - assessment
Overall quality management for annual crop statistics             
Which kind of data validation measures are in place? Comprehensive data checks, credibility checks, external challenge from the industry, consistency with weather conditions and market intelligence.            
What do they target? Range checks and completeness of survey returns.  Response rate checks.            
Are the data cross-validated against an other dataset? Yes            
If yes, which kind of dataset? Previous results            
If other data sets, which?              
Is there a quality management process in place for crop statistics? Yes            
If, yes, what are the components? The Code of Practice for Official Statistics, assessment audits by the UK Statistics Authority, Defra’s quality strategy for statistics. 
Is there a Quality Report available? Yes, various reports available Yes Yes Yes Yes Yes No
If yes, please provide a link

http://www.statisticsauthority.gov.uk/assessment/assessment/assessment-reports/assessment-report-22---assessment-of-agriculture-in-the-uk-and-selected-crop-and-livestock-statistics.pdf

http://www.statisticsauthority.gov.uk/assessment/assessment/assessment-reports/confirmation-of-designation-letters/letter-of-confirmation-as-national-statistics---assessment-report-22.pdf

        Basic Horticultural Statistics + unpublished report  
To which data souce is it linked?    June Survey of agriculture and horticulture Crop Production Survey Stocks Surveys Usage surveys ADAS panel estimates for fruit and vegetables Potato Council estimates
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? Review of spreadsheet design.  Simplification of data flows. Specific reviews under the Defra quality strategy.  Areas for review not yet identified.            
If, other, please specify              
Additional comments  


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
If not, which additional data are collected?  
Additional comments  
5.2. Relevance - User Satisfaction
Have any user satisfaction surveys been done? No        
Tick the appropriate box on next row Highly satisfied Satisfied Neutral Not completely satisfied Not at all satisfied
How satisfied the users were?  na na  na  na  na 
Additional comments  
5.3. Completeness

Please refer to the European level Quality Report

5.3.1. Data completeness - rate

Please refer to 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

Not relevant

6.2. Sampling error
These questions apply only to surveys
General questions Survey 1 Survey 2 Survey 3 Survey 4 Survey 5 Survey 6 Survey 7
Name of the survey June survey of agriculture and horticulture Crop Production Surveys Potato Council Planting Returns (area) Potato Grower Panel Survey (yield) Fruit Panel Survey Vegetable Expert Survey Ornamentals Expert Survey
Sampling basis? The sample is drawn from all farms in the UK above certain activity thresholds (these vary by UK devolved administration but align predominantly to the EU Farm Structure Survey thresholds). The sample size is large- almost a census in Scotland, Wales and N. Ireland and around 30% (30 thousand) in England A sample is drawn from cereal growing farms It is a statutory requirement that any person in GB who grows three hectares or more of potatoes in any calendar year must pay a levy based on area planted and must provide AHDB with the following information:

(a) the area planted or intended to be planted that calendar year; and

(b) the identity of the fields planted;

Growers in Northern Ireland are not covered by the Potato Council and therefore are not required to fill out a Planting Return.

The Grower Panel (GP) is a voluntary survey of a sample of around 450 growers giving data on varieties, yields, seed usage, sale prices, wastage, and storage.

Approximately 20% of growers are in the panel.

The Fruit Crop Intelligence Committees provide information during the summer months and this is supplemented by direct contact with fruit Producer Organisations, English Apples and Pears (EAP), Propagators and cider makers. Information is also gathered from ADAS and independent consultants. Information sought from a range of sources; ADAS consultants, external specialist consultants, British Grower Associations (BGA) where they exist for the specified crop, individual growers and producers, including larger producers and packers. Based on acquired knowledge of sector; information sought from a range of stakeholders including growers, plant propagators, propagation material (seeds and cuttings) suppliers, cut flower packers
If 'other', please specify              
Sampling method? Stratified random sample with higher coverage of larger farms Stratified random sample with higher coverage of larger farms Census. All growers with at least 3 hectares potatoes are required to complete a Planting Return each year.  Growers with less than 3hectares of potatoes are not surveyed. From around the 450 growers, 700-800 fields are selected. Sampling is proportional to planted area, and therefore approximately proportional to market sector, variety and region. The Fruit Crop Intelligence Committees provide monthly reports during the summer for all the major production areas for the major fruit crops. This is supplemented by information from ADAS and independent consultants including the areas and crops not covered by the Committees. In the winter months stored top fruit data is collected from a database of all the major top fruit storing organisations. Direct contact by visits, phone calls and emails to businesses or associations with specific questions relevant to sector by ADAS and independent consultants. Focus on major production areas, main known producers/producer groups, maintaining a geographical spread. Data provided and collated from seed houses by the British Growers Association (BGA) and individual growers that are members of the BGAs associations Direct contact with businesses with specific questions relevant to sector by ADAS and independent consultants
If stratified, number of strata? 6 16 not applicable        
If stratified, stratification basis? Farm size based on Standard Labour Requirement (theoretical numbers of workers dependent on type of farm and volume of activity) Area of crop grown and NUTS1 region not applicable   Informally stratified by focus on larger producers, producer groups and others in the supply chain  Informally stratified by focus on larger producers, producer groups and others in the supply chain Informally stratified by focus on larger producers, producer groups and others in the supply chain
If 'other', please specify     not applicable        
Size of total population 214 thousand 50 thousand cereal farms 2,150 2,150 The total number of fruit producers is difficult to estimate as the sector encompasses a range of diverse businesses from small independent producers and PYO businesses to large independent businesses or members of POs that produce the majority of product. The total number of vegetable producers is difficult to estimate as in some crops there are small family-run businesses to some very large businesses or producer organisations that produce the majority of some products. The number of ornamentals producers is difficult to estimate as the sector encompasses a range of diverse businesses: many small businesses (e.g. family-run businesses with <10 employees) and fewer large businesses that produce the majority of product. Information is sought from a population that includes growers, plant propagators, plant propagation material suppliers, cut flower packers and organisation e.g. the BPOA (British Protected Ornamentals Association), Cut Flower Centre with specific; some contacts respond on behalf of a number of growers for some categories. 
Size of sample 95 thousand 8 thousand 2,150 450 The data provided by the Crop Intelligence committees, Producer Organisations, ADAS and independent consultants and other organisations in the supply chain covers the majority of commercial fruit producers in England and Wales.  There are 410 contacts for fruit data and an estimated average coverage of 85%. The sample covers the major Vegetable and salad growing areas in England and Wales covering individual growers, grower groups and large producers and packers.  There are 431 contacts for vegetables and salad data and an estimated average coverage of just below 80% The sample is not homogeneous as it extends beyond growers to other members of the supply chain (propagators, suppliers, plant and flower packers). Some contacts respond on behalf of a number of growers for some crop categories.  There are 200 contacts for ornamentals data and an average coverage of 80%.
Which methods were used to assess the sampling error?  Relative standard errors and converted to 95% Relative standard errors and converted to 95%     Comparison / cross-checking of data from different sources.  Responses which include ‘outlier’ values are checked with originator Comparison / cross-checking of data from different sources.  Responses which include ‘outlier’ values are checked with originator Comparison / cross-checking of data from different sources.  Responses which include ‘outlier’ values are checked with originator
If other, which?              
Which methods were used to derive the extrapolation factor?  Ratio estimation (current data compared to previous years data to estimate ratio and compared to previous years total) Crop yields (production/area) for respondent holdings, applied to the June Survey national crop area to get estimates of total crop production     Basic weight/non-response/wrong classification/Other Basic weight/non-response/wrong classification/Other Basic weight/non-response/wrong classification/Other
If other, which?              
If RSE was calculated, please describe the calculation methods and formulas (Usually shown in the report and referred to) (Usually shown in the report and referred to)   95% confidence limits for the mean yield are estimated conventionally from the standard deviation of the sample of net yield, and are applied to the GB production estimate. Typically these are of the order of ±2% on a sample size of 750 crops, or around ±120,000 t on a production of 6 million t.      
If the results were compared with other sources, please describe the results Industry expectations. Results were broadly as expected. Industry surveys. Results were broadly in line.     Data for fruit in store during the winter provided by the ADAS database of top fruit storing organisations is compared to information from English Apples and Pears. On the whole there has been a good measure of agreement for most varieties. Data collated from direct consultation with businesses are compared with that provided by the Grower Associations. If there are considerable disparities between the data, the source is revisited to check and verify the methodology used. Where there are significant differences, data is doubled checked with the source and an explanation sought e.g. there can be significant differences in value for similar products depending on market (e.g. garden centre vs. DIY store vs. landscaper); the value of hanging baskets and planted containers is variable depending on container size, complexity of planting and plant choice.
Which were the main sources of errors? Sampling error Sampling error     Non return of data sheets by some contributors (for both sources)    

 

Coefficient of variation (CV) for the area (on the MS level) Survey 1 
Name of the survey June survey of agriculture
Cereals for the production of grain 0.6%
Dried pulses and protein crops 3.0%
Root crops 1.2%
Oilseeds 1.3%
Other industrial crops (included all industrial crops besides oilseeds)  2.9%
Plants harvested green from arable land 2.0%
Total vegetables, melons and strawberries 2.7%
Vegetables and melons 3.2%
Strawberries 4.1%
Cultivated mushrooms 16.7%
Total permanent crops 2.4%
Fruit trees 1.6%
Berries 2.0%
Nut trees  na
Citrus fruit trees 0.0%
Vineyards 5.1%
Olive trees 0.0%
Additional comments  
6.2.1. Sampling error - indicators

Not relevant

6.3. Non-sampling error

not relevant

6.3.1. Coverage error
  Survey 1 Survey 2 Survey 3 Survey 4 Survey 5 Survey 6 Survey 7
Error type Under-coverage of the smallest farms Under coverage of regions with lower yields Coverage errors are marginal and only arise where growers have not submitted their Planting Return.   Coverage errors only arise where growers are not on the population list. Underestimation of area. Undercoverage of small growers Undercoverage of small growers Undercoverage of small growers
Degree of bias caused by coverage errors Low Low Quality assurance is by helicopter survey of some 20% of GB each year cross checking visible fields against a GPS system to ensure all growers growing more than 3 hectares are submitting a Planting Return. Ground checks may also be undertaken where unregistered plantings are reported by informants. From these methods, around 3-4% of unreported plantings within the statutory registration criteria are discovered annually. Low c. 6% Low Low Low
What were the reasons for coverage errors? Sample size is fixed and targeted to larger farms. Fixed sample size targeted to larger cereal growing regions New growers don’t automatically submit a return despite it being a legal requirement. Unregistered plantings. Survey focuses on large growers Survey focuses on large growers Survey focuses on large growers
Which actions were taken for reducing the error or to correct the statistics? A rolling sample of the smallest farms was introduced to ensure all were sampled at a regular basis (every 5 years minimum) Increased sample size in smaller, wetter regions By observing that the grower size-area distribution is a regular function that is left censored (at 3-ha), the area below 3-ha can be estimated by integration as approximately 2% of registered plantings. This gives an unreported area of 5-6% (fluctuating slightly each year depending on audit results). Applying this expansion factor gives the estimated the total GB potato plantings. Annual helicopter audits with ground checks on approx 15% of plantings indicates rate of unregistered plantings at about 6%.  GB area estimates factored up by this amount, using 5 year rolling average. Survey achieves an 85% coverage of production Survey achieves an  80% coverage of prduction Survey achieves an 80% coverage of production
Additional comments  
6.3.1.1. Over-coverage - rate

Not relevant

6.3.1.2. Common units - proportion

Not relevant

6.3.2. Measurement error
Preparation and Quality of the Questionnaire Survey 1 Survey 2 Survey 3 Survey 4 Survey 5 Survey 6 Survey 7
Name of the survey June Survey of Agriculture & Horticulture Crop production surveys Potato Council Planting Returns (area) Potato Grower Panel Survey (yield) Fruit Panel Survey Vegetable Expert Survey Ornamentals Expert Survey
Was the questionnaire based on usual concepts for respondents? Yes Yes n/a Yes A questionnaire is not used. Estimates are provided by the Fruit Crop intelligence committees and consultants using Proformas and narratives. A questionnaire is not used, estimates and background information are obtained through direct contact with individual businesses as well as data provided from the BGA as specified. BGA are provided with a proforma rather than a questionnaire A questionnaire is not used, estimates and background information on trends are obtained through direct contact with individual companies
Number of surveys already performed with the current questionnaire (or a slightly amended version of it)? Over 20 years Over 20 years n/a 10 (running since 2005) Fruit data has been collected by the Fruit Crop Intelligence Committees and consultants for decades Vegetables data has been collated by ADAS and independent consultants over decades and was modified three years ago to include additional sources such as the BGA Although not a survey, according to ADAS records, ornamentals estimates have been provided in the current format since 2004
Preparatory (field) testing of the questionnaire? No No n/a  no A questionnaire is not used as estimates and background information are obtained through the Fruit Crop Intelligence Committees and direct contact A questionnaire is not used as estimates and background information are obtained through direct contact A questionnaire is not used as estimates and background information are obtained through direct contact
Number of units participating in the tests?  n/a n/a n/a  na na na na
Explanatory notes/handbook for surveyors/respondents?  Yes on form Yes on form n/a  na na na na
On-line FAQ or Hot-line support for surveyors/respondents? Yes for both Yes hotline yes  yes yes yes yes
Were pre-filled questionnaires used? No, though previous response was shown alongside questions for on-line respondents Yes no  no No No No
Percentage of pre-filled questions out of total number of questions n/a 20% n/a  na n/a n/a n/a
Were some actions taken for reducing the measurement error or to correct the statistics? Yes Yes Yes  yes no no no
If yes, describe the actions and their impact Validation checks are carried out at point of entry on-line or when keyed data received by surveys team. A comprehensive series of validation checks look at both incorrect records (i.e. sections don't add up to totals) or large changes from previous responses. Farmers are contacted to correct the data Validation checks are carried out on the returned data. Farmers are contacted to confirm or correct the data Levy data is subject to several kinds of technical audit to verify accuracy and completeness. Area levy returns are monitored by helicopter surveys which cover approximately 20% of GB each year and identify all visible potato fields on a GPS system, cross checking them for presence and area accuracy with return data. Tonnage returns are monitored by a continuous process of audits, verifying returns against purchase invoice, with physical inspection of stores where needed. Corrections are applied to data held as a result of audit observations. Legal action is employed where necessary to encourage correct and complete returns. The GP data is validated on entry by a series of logical cross-checks, and is corrected during analysis if outlier or anomalous values are noted in the data.      
Additional comments  
6.3.3. Non response error
  Survey 1 Survey 2 Survey 3 Survey 4 Survey 5 Survey 6 Survey 7
Name of the survey/census June Survey of Agriculture & Horticulture Crop Production Surveys Potato Council Planting Returns (area) Potato Grower Panel Survey (yield) Fruit Panel Survey Vegetable Expert Survey Ornamentals Expert Survey
Unit level non-response rate (in %) 30% 30% n/a Approx. 16% Although we cannot guarantee the complete accuracy of responses given, the long-standing association between ADAS and industry contacts means that a refusal to supply data is very rare, if not unknown. Some information is supplied to ADAS on the basis of a signed confidentiality agreement. Although we cannot guarantee the complete accuracy of responses given, the long-standing association between ADAS and industry contacts means that a refusal to supply data is very rare, if not unknown Although we cannot guarantee the complete accuracy of responses given, the long-standing association between ADAS and industry contacts means that a refusal to supply data is very rare, if not unknown
Item level non-response rate (in %) (Reply to rows below).              
Min% / item 30% 30% n/a n/a n/a n/a n/a
Max% /item 30% 30% n/a n/a n/a n/a n/a
Average % 30% 30% n/a n/a

n/a

n/a n/a
Was the non-response been treated ? Yes Yes Yes Yes No No No
Which actions were taken to reduce the impact of non-response? 3 sets of reminder cards/emails are sent out at intervals throughout the survey 2 sets of reminder cards are sent out at intervals through the survey Legal action is taken if a grower refuses to respond after being followed up.  Non-respondents are removed from the survey. They sample size is adjusted accordingly. Na na na
Which items had a high item-level non-response rate?  All returned forms are complete All returned forms are complete n/a n/a na na na
Which methods were used for handling missing data?
(several answers allowed)
Imputation None n/a Missing item data are treated as error records. Respondent is contacted for resolution.  If not resolved, entire record is excluded. na na na
In case of imputation which was the basis? Ratios of respondents data applied to non-respondents previous years data n/a n/a n/a      
In case of imputation, which was the imputation rate (%)? 30% n/a n/a n/a na na na
Estimated degree of bias caused by non-response? Low. Checks are carried out to ensure response rate is not biased by farm size, region or type. Low. Checks are carried out to ensure response rate is not biased by farm size, region or type. none None.  The survey is a random sample.  Tests show no bias by any correlated factor with non-response. Insignificant Insignificant Insignificant
Which tools were used for correcting the data? n/a n/a n/a Sample size is adjusted. na na na
Which organisation did the corrections? Defra farm surveys team Defra farm surveys team n/a AHDB na na na
Additional comments n/a n/a n/a n/a  na  na na
6.3.3.1. Unit non-response - rate

Not relevant

6.3.3.2. Item non-response - rate

Not relevant

6.3.4. Processing error

Not relevant

6.3.4.1. Imputation - rate

Not relevant

6.3.5. Model assumption error

Not relevant

6.4. Seasonal adjustment

Not relevant

6.5. Data revision - policy

Not relevant

6.6. Data revision - practice

Not relevant

6.6.1. Data revision - average size

Not relevant


7. Timeliness and punctuality Top

See point 7.1

7.1. Timeliness
The number of days between the delivery/release date of data and the target date on which they were scheduled for delivery/ release.
  Cereals Dried pulses and protein crops Root crops Oilseeds Other industrial crops Plants harvested green Total vegetables, melons and strawberries Vegetables and melons Strawberries Cultivated mushrooms Total permanent crops Fruit trees Berries Nut trees Citrus fruit trees Vineyards Olive trees
How many main data releases there are yearly in the national crop statistics? Three Three Three Three Three Three Three Three Three  One Three Three Three n/a n/a n/a n/a
How many of them are forecastings (releases before the harvest)? None None None None None None None None None None None None None n/a n/a n/a n/a
When is the first forecasting published? (day/month/year) n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a
When are the final results published? 19 December 2013 19 December 2013 19 December 2013 19 December 2013 19 December 2013 19 December 2013 19 December 2013 19 December 2013 19 December 2013  31 July 2014 19 December 2013 19 December 2013 19 December 2013 n/a n/a n/a n/a
Additional comments Provisional estimates were published on 17 October 2013 Provisional estimates were published on 17 October 2013.  Production estimates were published on 29 May 2014. Provisional estimates were published on 17 October 2013.Production estimates were published on 29 May 2014. Provisional estimates were published on 17 October 2013 Provisional estimates were published on 17 October 2013. Production estimates were published on 29 May 2014. Provisional estimates were published on 17 October 2013. Production estimates were published on 29 May 2014. Provisional estimates were published on 17 October 2013. Production estimates were published on 29 May 2014. Provisional estimates were published on 17 October 2013. Production estimates were published on 29 May 2014. Provisional estimates were published on 17 October 2013. Production estimates were published on 29 May 2014.   Provisional estimates were published on 17 October 2013. Production estimates were published on 29 May 2014. Provisional estimates were published on 17 October 2013. Production estimates were published on 29 May 2014. Provisional estimates were published on 17 October 2013. Production estimates were published on 29 May 2014. n/a n/a n/a n/a
7.1.1. Time lag - first result

Not relevant

7.1.2. Time lag - final result

Not relevant

7.2. Punctuality

Please refer to the European level Quality Report

7.2.1. Punctuality - delivery and publication

Please refer to the European level Quality Report


8. Coherence and comparability Top

See points 8.2 and 8.3

8.1. Comparability - geographical

Not relevant

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not relevant

8.2. Comparability - over time
  Overall  
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 2011? No No No No No
If yes, to which were they related?          
If other, which?          
Which items were affected?          
Year of break          
Impact on comparability          
Additional comments  
8.2.1. Length of comparable time series

Not relevant

8.3. Coherence - cross domain
Tick the appropriate box(es) Orchard survey Farm Structure survey Administrative data Price statistics National accounts Others
With which other data sources have the crop statistics data been compared?   Yes  Yes        
If no comparisons have been made, why not?  
If yes, please give a brief description of the results of this comparison.  
If comparisons were made against administrative or other sources, please give the names  

 

  Differences between ACS and other data sources (%)
Results of comparisons Annual crop statistics (ha) FSS difference Orchard survey difference Administrative source(s) difference Other source(s) difference
Cereals 3,326,000 9.1% (%)    
Dried pulses and protein crops 147,000 -0.3% (%)    
Root crops 304,000 0.1% (%)    
Oilseeds 715,000 0.0% (%)    
Other industrial crops 658,000 1403.1% (%)    
Plants harvested green 1,624,000 0.3% (%)    
Total vegetables, melons and strawberries 85,000 -27.9% (%)    
Vegetables and melons 80,000   (%)    
Strawberries 5,000   (%)    
Cultivated mushrooms 0 -100% (%)    
Total permanent crops 24,000 -31.8%      
Fruit trees 20,000 -14.2% 6,868    
Berries 3,000 -32.0%      
Nut trees 0        
Citrus fruit trees 0        
Vineyards 1,000 -28.6%      
Olive trees 0        
If there were considerable differences, which factors explain them?   Different data sources are used for the fruit and veg areas for the annual crop statistics Only includes Dessert apples & pears as per regulation (i.e. excludes cooking apples, plums and cherries). Results are also provided as tree areas, rather than field areas.    
If you used the column 'Other sources', please give the name and a short description of the other source     
If no comparisons have been made, why not?          
Additional comments          

Not relevant

8.4. Coherence - sub annual and annual statistics

Not relevant

8.5. Coherence - National Accounts

Not relevant

8.6. Coherence - internal

Not relevant


9. Accessibility and clarity Top

See points 9.1, 9.2, 9.3, 9.5 and 9.6

9.1. Dissemination format - News release
Crop statistics Availability Links
Press release No  
9.2. Dissemination format - Publications
Crop statistics Availability Links
Scientific publications  No  
Publications Yes https://www.gov.uk/government/statistics/farming-statistics-final-crop-areas-yields-livestock-populations-and-agricultural-workforce-at-1-june-2014-uk

https://www.gov.uk/government/statistics/basic-horticultural-statistics-2014

https://www.gov.uk/government/collections/agriculture-in-the-united-kingdom

Publications in English Yes https://www.gov.uk/government/statistics/farming-statistics-final-crop-areas-yields-livestock-populations-and-agricultural-workforce-at-1-june-2014-uk

https://www.gov.uk/government/statistics/basic-horticultural-statistics-2014

https://www.gov.uk/government/collections/agriculture-in-the-united-kingdom

9.3. Dissemination format - online database
Crop statistics Availability Links
On-line database accessible to users No  
Website Yes https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/368434/structure-june-engseries-30oct14.xls

https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/339108/hort-dataset-31jul14.xls

https://www.gov.uk/government/statistical-data-sets/agriculture-in-the-united-kingdom

9.3.1. Data tables - consultations

Not relevant

9.4. Dissemination format - microdata access

Not relevant

9.5. Dissemination format - other
Crop statistics Availability Links
Free/against payment access policy Free  
Additional comments  
9.6. Documentation on methodology
Crop statistics Availability Links
Definitions and classifications Yes https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/182206/defra-stats-foodfarm-landuselivestock-june-junemethodology-20120126.pdf

https://www.gov.uk/government/statistics/basic-horticultural-statistics-2014

Methodological report Yes https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/182206/defra-stats-foodfarm-landuselivestock-june-junemethodology-20120126.pdf

https://www.gov.uk/government/statistics/basic-horticultural-statistics-2014

Metadata No  
9.7. Quality management - documentation

See chapter 3 

9.7.1. Metadata completeness - rate

Not relevant

9.7.2. Metadata - consultations

Not relevant


10. Cost and Burden Top
Restricted from publication


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