Crop production (apro

Crop production (apro_cp)

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

Compiling agency: Statistics Netherlands

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

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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

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2.1. Data description

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

2.2. Classification system

Hierarchical crop classification system

2.3. Coverage - sector

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

2.4. Statistical concepts and definitions

See: Annual crop statistics Handbook

2.5. Statistical unit

Utilised agricultural area cultivated by an agricultural holding.

2.6. Statistical population

All agricultural holdings growing crops.

2.7. Reference area

The entire territory of the country.

2.8. Coverage - Time

Crop year.

2.9. Base period

Not applicable.

3. Statistical processing

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3.1. Source data

	Source 1	Source 2	Source 3	Source 4
Have new data sources been introduced since the previous quality report?	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

Census

Annual agricultural census

Final area under cultivation

Census

Annual agricultural census

Production

Census
Survey
Expert estimate
Other

Annual agricultural census

Sample survey on arable crops - final results

Delphy

Crop processors with monopoly position

Yield

Census
Survey
Expert estimate
Other

Annual agricultural census

Sample survey on arable crops - final results

Delphy

Crop processors with monopoly position

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 (greenhouse horticulture)

Production

Census
Survey
Expert estimate

Annual agricultural census

Sample survey on vegetables, melons and strawberries

Delphy (greenhouse horticulture)

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
Expert estimate

Annual agricultural census

Delphy

Production

Census
Expert estimate

Annual agricultural census

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

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	X
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	Delphy - arable crops	Delphy - permanent crops	Delphy - greenhouse horticulture
Planning (month-month/year)	3-2022	7-2022	7-2022	5-2022	5-2022	10-2022
Preparation (month-month/year)	3-2022	8/9-2022	8/9-2022	6-2022	6-2022	11-2022
Data collection (month-month/year)	3/6-2022	10-2022/1-2023	11-2022/2-2023	9/10-22	7 & 10/2022	2-2023
Quality control (month-month/year)	5/9-2022	12-2022/1-2023	12-2022/2-2023	9/10-2022	7 & 10/2022	2-2023
Data analysis (month-month/year)	6/10-2022	1-2023	3-2023	9/10-2022	7 & 11-2022, 3-2023	2/3-2023
Dissemination (month-month/year)	9-2022/3-2023	1/3-2023	3-2023	9/10-2022
If there were delays, what were the reasons?

3.3. Data collection

Definitions	Question	In case yes, how do they differ?
Do national definitions differ from the definitions in Article 2 of Regulation (EC) No 543/2009?	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. V1900 - Other brassicas n.e.c V4210 - Onions 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)	3/2022
Was a threshold applied?	NO
If yes, size of the excluded area	Area excluded on the basis of the threshold in % of the total area for that crop
Cereals for the production of grain (in %)
Dried pulses and protein crops (in %)
Root crops (in %)
Oilseeds (in %)
Other industrial crops (included all industrial crops besides oilseeds) (in %)
Plants harvested green from arable land (in %)
Total vegetables, melons and strawberries (in %)
Cultivated mushrooms (in %)
Total permanent crops (in %)
Fruit trees (in %)
Berries (in %)
Nut trees (in %)
Citrus fruit trees (in %)
Vineyards (in %)
Olive trees (in %)

Survey method (only for census and surveys)

	Survey 1	Survey 2	Survey 3	Survey 4	Survey 5	Survey 6	Survey 7
Name of the survey	Sample survey on vegetables, melons and strawberries	Annual agricultural census	Sample survey on arable crops - final results
Which survey method was used?	On-line electronic questionnaire filled in by respondent	On-line electronic 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
Data entry method, if paper questionnaires?

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 ?
Were the data used for sample frame?
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	Permanent Crops	Vegetables under permanent cover
Data owner (organisation)	1/Delphy	1/Delphy	1/Delphy
Update frequency (e.g. 1 year or 6 months)
Reference date (Month/Year e.g. 1/22 - 8/22)	9/2022	12/2022	12/2022
Legal basis
Use purpose of the estimates?	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
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 Delphy.	For open field crops, vegetables under cover and arable crops information on yield from different agricultural areas in the Netherlands are obtained by Delphy.	For open field crops, vegetables under cover and arable crops information on yield from different agricultural areas in the Netherlands are obtained by Delphy.
Were there any differences in the definition of the variables between the experts' estimates and those described in the Regulation?	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
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

3.6. Adjustment

4. Quality management

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4.1. Quality assurance

	Completeness	Punctuality	Accuracy	Reliability	Overall quality
How would you describe the overall quality development since the previous quality report?	Stable	Improvement	Stable	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?	Other
If, other, please specify	Research into new methods of data collection such as retrieving information from crop registration systems
Additional comments

4.2. Quality management - assessment

See the European level Quality Report.

5. Relevance

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5.1. Relevance - User Needs

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

5.2. Relevance - User Satisfaction

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

5.3. Completeness

See the European level Quality Report

5.3.1. Data completeness - rate

See the European level Quality Report

6. Accuracy and reliability

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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 arable crops - final results
Sampling basis?	Area	Area
If 'other', please specify
Sampling method?	Random	Random
If stratified, number of strata?
If stratified, stratification basis?
If 'other', please specify
Size of total population	4500	18000
Size of sample	2500	5000
Which methods were used to assess the sampling error?	Relative standard error	Relative standard error
If other, which?
Which methods were used to derive the extrapolation factor?	Basic weight	Basic weight
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?	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	Annual agricultural census
Cereals for the production of grain (in %)	1.3
Dried pulses and protein crops (in %)	0.9
Root crops (in %)	1.6
Oilseeds (in %)	1.2
Other industrial crops (included all industrial crops besides oilseeds) (in %)
Plants harvested green from arable land (in %)	1.3
Total vegetables, melons and strawberries (in %)	1.6
Cultivated mushrooms (in %)	1.5
Total permanent crops (in %)	2.0
Fruit trees (in %)	1.2
Berries (in %)	2.0
Nut trees (in %)	1.6
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	Annual agricultural census	Sample survey on arable crops - final results
Error type	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.

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	Annual agricultural census	Sample survey on arable crops - final results
Was the questionnaire based on usual concepts for respondents?	YES	YES	YES
Number of surveys already performed with the current questionnaire (or a slightly amended version of it)?	29	23	29
Preparatory (field) testing of the questionnaire?	NO	NO	NO
Number of units participating in the tests?
Explanatory notes/handbook for surveyors/respondents?	YES	YES	YES
On-line FAQ or Hot-line support for surveyors/respondents?	YES	YES	YES
Were pre-filled questionnaires used?	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	NO	YES
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	Annual agricultural census	Sample survey on arable crops - final results
Unit level non-response rate (in %)	31	5	31
Item level non-response rate (in %)
- Min% / item
- Max% / item
- Overall%
Was the non-response been treated ?	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 Imputations	Reminders Imputations
In case of imputation which was the basis?		Imputation based on the same unit in previous data	Imputation based on similar units
In case of imputation, which was the imputation rate (%)?
Estimated degree of bias caused by non-response?	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 areas. The tool is also used for imputations.	Electronic correction tool using calculations on upper and lower limits for yields, areas and production. Use of areas from annual agricultural census.
Which organisation did the corrections?	Statistics Netherlands	Statistics Netherlands	Statistics Netherlands
Additional comments

6.3.4. Processing error

Not applicable.

6.3.4.1. Imputation - rate

Not applicable.

6.3.5. Model assumption error

Not applicable.

6.4. Seasonal adjustment

Not applicable.

6.5. Data revision - policy

Not applicable.

6.6. Data revision - practice

Not applicable.

6.6.1. Data revision - average size

Not applicable.

7. Timeliness and punctuality

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7.1. Timeliness

Time lag - first result

Time lag - final result

	Cereals	Dried pulses and protein crops	Root crops	Oilseeds	Other industrial crops	Plants harvested green	Vegetables and melons	Strawberries	Cultivated mushrooms	Fruit trees	Berries	Nut trees	Citrus fruit trees	Vineyards	Olive trees
How many main data releases there are yearly in the national crop statistics for the following types of crops?	7	6	6	7		6	1	1	1	1	1	1	0	0	0
How many of them are forecasts (releases before the harvest)?	5	4	3	5		4	0	0	0	0	0	0
When was the first forecasting published for the crop year on which is reported? (day/month/year)	30/06/2022	30/06/2022	30/06/2022	30/06/2022	30/06/2022	30/06/2022
When were the final results published for the crop year on which is reported? (day/month/year)	30/09/2023	30/09/2023	30/09/2023	30/09/2023	30/09/2023	30/09/2023
Additional comments

7.2. Punctuality

See the European level Quality Report

7.2.1. Punctuality - delivery and publication

See the European level Quality Report

8. Coherence and comparability

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8.1. Comparability - geographical

Comparable on provincial level

8.1.1. Asymmetry for mirror flow statistics - coefficient

8.2. Comparability - over time

Length of comparable time series

Arable crops time series from 1994

Vegatables time series from 1998

Permanent crops time series from 1997

	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

Arable crops time series from 1994

Vegatables time series from 1998

Permanent crops time series from 1997

8.3. Coherence - cross domain

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.

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
Berries
Nut trees
Citrus fruit trees
Vineyards
Olive trees
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

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9.1. Dissemination format - News release

Availability	Links
NO

9.2. Dissemination format - Publications

	Availability	Links
Publications	Electronic Paper	Landbouw (cbs.nl)
Publications in English	Electronic Paper	Agriculture (cbs.nl)

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

9.4. 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

	Availability	Links
Methodological report	None National language	http://www.cbs.nl/nl-NL/menu/themas/landbouw/methoden/dataverzameling/korte-onderzoeksbeschrijvingen/onderzoeksbeschrijvingoogstramingakkerbouw.htm http://www.cbs.nl/nl-NL/menu/themas/landbouw/methoden/dataverzameling/korte-onderzoeksbeschrijvingen/onderzoeksbeschrijving-fruitteelt-regio.htm http://www.cbs.nl/nl-NL/menu/themas/landbouw/methoden/dataverzameling/korte-onderzoeksbeschrijvingen/2007-onderzoeksbeschrijvinggroenteteelt.htm
Quality Report
Metadata
Additional comments

9.7. Quality management - documentation

Not applicable.

9.7.1. Metadata completeness - rate

Not applicable.

9.7.2. Metadata - consultations

Not applicable.

10. Cost and Burden

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Efficiency gains if compared to the previous quality report?	Further automation
If other, which?	Dataprocessing and interpolation tools have been replaced again and improved
Burden reduction measures since the previous reference year
If other, which?

11. Confidentiality

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11.1. Confidentiality - policy

Restricted from publication

11.2. Confidentiality - data treatment

Restricted from publication

12. Comment

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Related metadata

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Annexes

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