Crop production (apro_cp)

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

Compiling agency: Statistics Netherlands

Time Dimension: 2016-A0

Data Provider: NL1

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

Statistics Netherlands

1.2. Contact organisation unit

Unit Environmental, Energy and Spatial Statistics - Team Agriculture and nature

1.5. Contact mail address

PO Box 24500
2490 HA Den Haag

The Netherlands


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
3.1. Source data

  Source 1 Source 2 Source 3 Source 4
Have new data sources been introduced since the previous Quality Report (2014)?       
If yes, which new data sources have been introduced since the previous quality report (2014)?
Type of source?
To which Table (Reg 543/2009) do they contribute?
Have some data sources been dropped since the previous Quality Report (2014)?      
Which data sources have been dropped since the previous quality report (2014)?
Type of source?
Why have they been dropped?
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 Census

Annual agricultural census

Final area under cultivation Census

Annual agricultural census

Production Census
Survey
Expert estimate

Annual agricultural census

Sample survey on arable crops - final results

 Delphy

Yield Census
Survey
Expert estimate

Annual agricultural census

Sample survey on arable crops - final results

 Delphy

Non-existing and non-significant crops Census

Annual agricultural census

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

Annual agricultural census

Final harvested area Census
Survey
Expert estimate

Annual agricultural census

Sample survey on vegetables, melons and strawberries

Delphy(open field and under cover)

Production Census
Survey
Expert estimate

Annual agricultural census

Sample survey on vegetables, melons and strawberries

Delphy(open field and under cover)

Non-existing and non-significant crops Census

Annual agricultural census

Table 3: Permanent crops      
Early estimates for production area Census

Annual agricultural census

Final production area Census
Survey
Expert estimate

Annual agricultural census

Sample survey on permanent crops

Delphy

Production Census
Survey
Expert estimate

Annual agricultural census

Sample survey on permanent crops

Delphy

Non-existing and non-significant crops Census

Annual agricultural census

Table 4: Agricultural land use      
Main area Census

Annual agricultural census

Non-existing and non-significant crops Census

Annual agricultural census

Total number of different data sources

8

   
Additional comments

Expert estimations from Delphy are obtained from 3 different departments within the organisation.

Delphy is an independent advisory and research organisation for the vegetative sectors. Its activities focus on advice, research and projects in the Netherlands and internationally.

 

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

 

Other type

 

If other type, please explain

 

Additional information

 

   


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

Annual agricultural census

Sample survey on arable crops - final results

Sample survey on vegetables, melons and strawberries

Sample survey on permanent crops

Delphy

Planning (month-month/year)

3-2016

7-2016

7-2016

7-2016

Preparation (month-month/year)

3-2016

8/9-2016

8/9-2016

8/9-2016

Data collection (month-month/year)

3/6-2016

11-2016/1-2017

11-2016/2-2017

11-2016/1-2017

Quality control (month-month/year)

5/9-2016

12-2016/1-2017

12-2016/2-2017

12-2016/1-2017

Data analysis (month-month/year)

6/10-2016

1-2017

3-2017

2-2017

Dissemination (month-month/year)

9-2016/3-2017

1/3-2017

3-2017

3-2017

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? NO
Are there differences between the national methodology and the methodology described in the Handbook concerning e.g. the item and aggregate calculations? NO
Are special estimation/calculation methods used for main crops from arable land? NO
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? NO
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) P9000 - Other dry pulses and protein crops n.e.c.
V4210 - Onions
V1900 - Other brassicas n.e.c
V4900 - Other root, tuber and bulb vegetables n.e.c.
V5900 - Other fresh pulses n.e.c.
V9000 - Other fresh vegetables n.e.c.

Other dry pulses and protein crops contains dried common beans

Shallots are included in onions

Other brassicas include curly kale, chines cabbage, pak choi and kohl-rabi

Other root, tuberand bulb vegetables include, scorzonera, turnips, parsnips and swedes

Other fresh vegetables contains the sum of variety of various fresh vegetables for which an average yield (from expert opinions) is used in order to calculate the production from the sum of the small areas of those vegetables.

In case data are delivered for one of the items below, describe the crop species included in the item:


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).

Data is used from the annual agricultural census. The annual agricultural census is an annual census on the agricultural structure of The Netherlands. Every year starting from April 1st to May 15th farmers have to send their information on structure through the combined data collection census of the Ministry of Economic Affairs. The overall response is about 95%. Statistics Netherlands processes the information of the the census population which then is used for reports for the FSS and the annual agricultural surveys.

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)

3/2017

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

Sample survey on vegetables, melons and strawberries

Sample survey on permanent crops

Sample survey on arable crops - final results

Annual agricultural census

Which survey method was used? On-line electronic questionnaire filled in by respondent
Postal questionnaire filled in by respondent
On-line electronic questionnaire filled in by respondent
Postal questionnaire filled in by respondent
On-line electronic questionnaire filled in by respondent
Postal questionnaire filled in by respondent
On-line electronic questionnaire filled in by respondent
If 'other', please specify
Please provide a link to the questionnaire

questionnaire not available via the internet

questionnaire not available via the internet

questionnaire not available via the internet

questionnaire not available via the internet

Data entry method, if paper questionnaires? 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
Description
Data owner (organisation)
Update frequency
Reference date (month/year)
Legal basis
Reporting unit
Identification variable (e.g. address, unique code, etc.)
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?
Data used for other purposes, which?
Which variables were taken from administrative sources?
Were there any differences in the definition of the variables between the administrative source and those described in the Regulation?
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

Arable Crops Preliminary results

Open field vegetables

Vegetables under permanent cover

Permanent Crops

Data owner (organisation)

1/Delphy

1/Delphy

1/Delphy

1/Delphy

Update frequency (e.g. 1 year or 6 months)
Reference date (Month/Year  e.g. 1/16 - 8/16)

9/13

12/13

12/13

12/13

Legal basis
Use purpose of the estimates?

Yield

Area, Production and yield

Area, Production and yield

Area, Production and yield

What kind of expertise the experts have?

Expertise on cultivation

Expertise on cultivation

Expertise on cultivation

Expertise on cultivation

What kind of estimation methods were used?

For open field crops, vegetables under cover and arable crops information on yield from different agricultural areas in the Netherlands are obtained by DLV Plant.

For open field crops, vegetables under cover and arable crops information on yield from different agricultural areas in the Netherlands are obtained by DLV Plant.

For open field crops, vegetables under cover and arable crops information on yield from different agricultural areas in the Netherlands are obtained by DLV Plant.

For open field crops, vegetables under cover and arable crops information on yield from different agricultural areas in the Netherlands are obtained by DLV Plant.

Were there any differences in the definition of the variables between the experts' estimates and those described in the Regulation? NO NO NO 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?

Good

Good

Good

Good

What were the possible limitations, drawbacks of using the data from expert estimate(s)?

Final harvest results can differ from earlier estimates by the experts

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? NO
If yes, which kind of dataset?
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 Improvement Improvement Improvement
Is there a quality management process in place for crop statistics? NO        
If, yes, what are the components?        
Is there a Quality Report available? NO        
If yes, please provide a link(s)        
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?        
If, other, please specify

None

       
Additional comments

As of 2016 all surveys on crops production have been made mandatory, which is the reason for increase in response in 2016.

       
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? NO
Describe the unmet needs
Does the Regulation 543/2009 meet the national data needs? NO
Does the ESS agreement meet the national needs?
If not, which additional data are collected?

For example: onions and potatoes, also areas and production for seed onions and seed potatoes are collected separately. For fruit the areas and production of several apples and pears varieties 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
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

Sample survey on vegetables, melons and strawberries

Sample survey on permanent crops

Sample survey on arable crops - final results

Sampling basis? Area Area Area
If 'other', please specify
Sampling method? Random Random Random
If stratified, number of strata?
If stratified, stratification basis?
If 'other', please specify
Size of total population

4500

1600

18000

Size of sample

2500

1050

5000

Which methods were used to assess the sampling 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
If other, which?
If CV (co-efficient of variation) was calculated, please describe the calculation methods and formulas

Square root(estimate of sampling variance)/estimated value

Square root(estimate of sampling variance)/estimated value

Square root(estimate of sampling variance)/estimated value

If the results were compared with other sources, please describe the results
Which were the main sources of errors?

Non reponse

Non reponse

Non reponse


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

Sample survey on vegetables, melons and strawberries

Sample survey on permanent crops

Sample survey on arable crops - final results

Cereals for the production of grain (in %)

3

Dried pulses and protein crops (in %)
Root crops (in %)

3

Oilseeds (in %)
Other industrial crops (included all industrial crops besides oilseeds)  (in %)
Plants harvested green from arable land (in %)

2

Total vegetables, melons and strawberries (in %)

5

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

3

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

Sample survey on vegetables, melons and strawberries

Sample survey on permanent crops

Sample survey on arable crops - final results

Annual agricultural census

Error type Contact errors Contact errors Contact errors Contact errors
Degree of bias caused by coverage errors
What were the reasons for coverage errors?
Which actions were taken for reducing the error or to correct the statistics?
Additional comments

No coverage errors. Surveys are based on yearly census data.

No coverage errors. Surveys are based on yearly census data.

No coverage errors. Surveys are based on yearly census data.

No coverage errors. Surveys are based on yearly census data.

No coverage errors. Surveys are based on yearly census data.

No coverage errors. Surveys are based on yearly census data.

No coverage errors. Surveys are based on yearly census data.

No coverage errors. Surveys are based on yearly census data.

No coverage errors. Surveys are based on yearly census data.




 

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

Sample survey on vegetables, melons and strawberries

Sample survey on permanent crops

Sample survey on arable crops - final results

Annual agricultural census

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

23

26

26

17

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

Corrections are performed on inaccurate recording and incorrect response in that way that plausible values are obtained for areas and yields

Corrections are performed on inaccurate recording and incorrect response in that way that plausible values are obtained for areas and yields

Corrections are performed on inaccurate recording and incorrect response in that way that plausible values are obtained for areas and yields

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

Sample survey on vegetables, melons and strawberries

Sample survey on permanent crops

Sample survey on arable crops - final results

Annual agricultural census

Unit level non-response rate (in %)

29

23

27

5

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

25

14

17

1

               - Max% / item

65

65

63

15

               - Overall%

28

22

26

5

Was the non-response been treated ? NO NO NO NO
Which actions were taken to reduce the impact of non-response?
Which items had a high item-level non-response rate? 
Which methods were used for handling missing data?
(several answers allowed)
Reminders Reminders Reminders Reminders
Imputations
In case of imputation which was the basis? Imputation based on the same unit in previous data
In case of imputation, which was the imputation rate (%)?
Estimated degree of bias caused by non-response? Unknown Unknown Unknown Unknown
Which tools were used for correcting the data?

Electronic correction tool using calculations on upper and lower limits for yields, areas and production. Use of areas from annual agricultural census.

Electronic correction tool using calculations on upper and lower limits for yields, areas and production. Use of areas from annual agricultural census.

Electronic correction tool using calculations on upper and lower limits for yields, areas and production. Use of areas from annual agricultural census.

Electronic correction tool using calculations on upper and lower limits for areas. The tool is also used for imputations.

Which organisation did the corrections?

Statistics Netherlands

Statistics Netherlands

Statistics Netherlands

Statistics Netherlands

Additional comments
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?

3

3

3

3

3

3

3

1

1

1

1

1

0

0

0

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

2

2

2

2

2

2

2

0

0

0

0

0

When was  the first  forecasting published for crop year 2016? (day/month/year) 30/06/2016 30/06/2016 30/06/2016 30/06/2016 30/06/2016 30/06/2016 30/06/2016
When were the final results published for crop year 2016? (day/month/year) 28/09/2017 28/09/2017 28/09/2017 28/09/2017 28/09/2017 28/09/2016 28/09/2017
Additional comments

Data above applies only for onions.

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
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? 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

  Data source
With which other data sources the crop statistics data have been compared? 
If others, which?
If no comparisons have been made, why not?

Other sources do not contain production data.


Results of comparisons FSS 2016 (if available) Vineyard survey 2015 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  
Berries  
Nut trees  
Citrus fruit trees  
Vineyards
Olive trees  
If there were considerable differences, which factors explain them?

Areas from the annual agricultural census are only used for raising. 

 
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

9.3. Dissemination format - online database

Data tables - consultations

Not applicable


  Availability Links
On-line database accessible to users YES

http://statline.cbs.nl/statweb/?LA=nl

Website None
National language

http://www.cbs.nl/nl-NL/menu/home/default.htm?Languageswitch=on

9.3.1. Data tables - consultations

Not applicable

9.4. Dissemination format - microdata access

Availability Links
9.5. Dissemination format - other

Free : http://opendata.cbs.nl/dataportaal/portal.html#_la=nl

All Statistics Netherlands data are available free online via the Open Data StatLine webportal

9.6. Documentation on methodology

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) Further automation
If other, which?

Dataprocessing and interpolation tools have been replaced again and
improved

Burden reduction measures since the previous reference year  More user-friendly questionnaires
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