Organic farming (org)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Statistics Netherlands 


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)



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1. Contact Top
1.1. Contact organisation

Statistics Netherlands 

1.2. Contact organisation unit

Environmental, energy and spatial statistics, team Agriculture and Nature

1.5. Contact mail address

Postbus 24500

2490 HA  Den Haag


2. Metadata update Top
2.1. Metadata last certified 07/03/2024
2.2. Metadata last posted 07/03/2024
2.3. Metadata last update 07/03/2024


3. Statistical presentation Top
3.1. Data description

The collected statistics for the country cover the following data:

  • Certified registered organic operators (referring to their main or secondary activity) (expressed in number of operators)
  • Certified registered organic processors who manufacture organic products (as their main or secondary activity) (expressed in number of processors)
  • Certified organic crop area (under conversion and fully converted) (expressed in hectares)
  • Certified organic crop production from fully converted area (expressed in 1 000 kg)
  • Certified organic livestock (expressed in heads of live animals)
  • Production of certified organic products of animal origin (expressed in 1 000 kg of carcass weight and in thousand eggs)
  • Production of certified organic milk products (Produced on farms or Processed on farms or by dairy enterprises) and Honey and products of bee-keeping (expressed in 1 000 kg of products obtained)
  • Certified organic aquaculture sold by producers (expressed in 1 000 kg live weight)
3.2. Classification system

See ESS Agreement on Organic Production Statistics

3.3. Coverage - sector

See Organic farming Metadata

3.4. Statistical concepts and definitions

See Organic farming Metadata

3.5. Statistical unit

See Organic farming Metadata

3.6. Statistical population

See Organic farming Metadata

3.7. Reference area

The entire area of the Netherlands (the country) excluding the special territories of Bonaire, Sint Eustatius and Saba.

3.8. Coverage - Time

The Organic production statistics in our country cover the period from 2011 onwards.  There is data available about the period before 2011 but that is less detailed.  The first data we have about organic farming is from 1991. 

3.9. Base period

Not applicable.


4. Unit of measure Top
  • Certified registered organic operators (referring to their main or secondary activity) (expressed in number of operators)
  • Certified registered organic processors who manufacture organic products (as their main or secondary activity) (expressed in number of processors)
  • Certified organic crop area (under conversion and fully converted) (expressed in hectares)
  • Certified organic crop production from fully converted area (expressed in 1 000 kg)
  • Certified organic livestock (expressed in heads of live animals)
  • Production of certified organic products of animal origin (expressed in 1 000 kg of carcass weight and in thousand eggs)
  • Production of certified organic milk products (Produced on farms or Processed on farms or by dairy enterprises) and Honey and products of bee-keeping (expressed in 1 000 kg of products obtained)
  • Certified organic aquaculture sold by producers (expressed in 1 000 kg live weight)


5. Reference Period Top

Dataset 1a: The reference period is 2022 (counted on 31st of December 2022) 

Dataset 1b: The reference period is 2022 (counted on 31st of December 2022)

Dataset 2: The use of land refers to the reference year 2022. In case of successive crops from the same piece of land, the land use refers to a crop that is harvested during the reference year regardless of when the crop in question is sown.  

Dataset 3: The reference day is the 1st of April within the reference year 2022.

Dataset 4a: The reference period is 2022.

Dataset 4b: The reference period is 2022.

Dataset 5: The reference period is 2022.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

Legal Act (Statistics Netherlands Act (wet op het Centraal Bureau voor de Statistiek)) (link: wetten.nl - Regeling - Wet op het Centraal bureau voor de statistiek - BWBR0015926 (overheid.nl))

This act is in force since 20-11-2013.

Statistics Netherlands has direct access to the administrative data sources.

6.2. Institutional Mandate - data sharing

Statistics Netherlands act gives Statistics Netherlands (CBS) rights to access data available in governmental registers and datasets. It also describes the conditions for data sharing. Furthermore there are written agreements with data providing and receiving agencies.


7. Confidentiality Top
7.1. Confidentiality - policy

Data used for organic farming are protected by the Act on Registration of personal data and the Statistics Netherlands Act. These Acts protect data on individual private or legal persons against illegal use, such as being published, sold, used or exchanged without permission of the persons involved. All personnel with access to the data have to comply with these acts. Furthermore it is not allowed to use the data for any other purpose than for which the data was collected or for producing statistics and is not allowed to publish data in such a way that individuals or data on individuals may be traced.

7.2. Confidentiality - data treatment
Rules used to define confidential cells:

- Threshold rule (The number of contributors is less than a pre-specified threshold)
- Other primary confidentiality rules
- Secondary confidentiality rules

 

Procedures used for protecting data in confidential cells: 

- Table redesign (Collapsing rows and/or columns)
- Cell suppression (Completely suppress the value of some cells)
- Rounding: controlled, deterministic or random (Round each cell value to a pre-specified rounding base)

 

Description of the rules and methods:

A solution to ensure statistical confidentiality and prevent unauthorised disclosure could be to apply the rule of dominance, that is to hide the contents of table cells where the data are from few holdings. This is a very complicated operation. Very often a hidden cell value can be recalculated by difference from data in other tables. However once you start to adapt tables by making changes in some cells, you have to continue this in other tables and the hiding operation spreads throughout the table set like an oil spill.
Therefore, we have chosen an easier, pragmatic approach: tables with a danger of disclosing individual data are published only at country or province level, or the level of detail is lowered at regional level. Usually tables with sensitive characteristics, e.g. economic size, sometimes in combination with a second dimension e.g. farm type, are not published at the lower regional levels. Sensitive characteristics for which there are only very few holdings will not be published. For some tables we use the method of conventional rounding (each cell is rounded to the nearest multiple of the base. The marginal totals and table totals are rounded independently from the internal cells). 

Besides regular publications via the Statline database, the website or press releases, requests for information can be addressed at our Infoservice. When custom-made tables are prepared confidentiality rules are applied whenever needed.
For custom-made tables a distinction is made in information on 'sensitive' and 'non-sensitive' characteristics. Sensitive characteristics are characteristics that could lead to disclosure of individual personal data (age of the farmer, education level, ..) or of economic data on the individual farm (SO). For this type of tables, the confidentiality regime is very strict and provisions are made that each cell contains enough cases so that no individual farms or farmers can be identified, otherwise the cell will be kept confidential (and special attention is given to secondary disclosure).

For non-sensitive characteristics (e.g. number of animals or crop areas) a less strict regime is used (often these characteristics can be easily observed, or are directly available from farmers own website). In these cases it is accepted that information on individual farms may be derived. In all cases privacy protection has the highest priority, therefore all requests for custom-tables are scrutinised.  

 


8. Release policy Top
8.1. Release calendar

There is no release calender specifically for for organic farming. Information about this subject is published on-line on the StatLine database, according to a pre-determined release policy. At the moment two tables on organic farming are published yearly. 

For all StatLine tables the table explanation contains the release policy for the respective table.

Information on Ad hoc and incidental subjects concerning organic farming, is released through articles on the Statistics Netherlands website.

8.2. Release calendar access

The release calendar for the update of the tables on organic farming can be accessed through the respective tables on the online Statline database (StatLine (cbs.nl))

8.3. Release policy - user access

In general, information in general and on organic farming specifically is released through tables on the StatLine database, and articles on Statistics Netherlands website. Each Friday, CBS publishes the publication planning for its upcoming news releases. All information is made available to all users at the same time. In special cases the press may be granted access to publications under embargo. Information on the release policy can be found here: Publication policy (cbs.nl).


9. Frequency of dissemination Top

Data on organic farming are disseminated according to a pre-determined release policy, with a regular update within the year.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Besides tables on the Statline database there have been one news release on organic farming in relation to reference year 2022. The title of the article was "585 biologische landbouwbedrijven erbij sinds 2015".

Data from dataset 1a and 1b are not published on our website.

10.2. Dissemination format - Publications

There is an item on organic farming on the website of compendium van de leefomgeving that is updated every year. Tthe title of the article on organic farming is: 'Biologische landbouw: arealen and veestapels. 2011-2022'. 

Link to the article see annexes

 



Annexes:
Item on organic farming on the wedsite compendium van de leefomgeving
10.3. Dissemination format - online database

See subcategories below.

10.3.1. Data tables - consultations

See StatLine - Datasets via thema (cbs.nl) (Dutch) 

Note: the indicative number of hits is based on Q4 2023

Dutch tables (under 'biologische landbouw'):

- Activiteiten van biologische landbouwbedrijven, regio (organic farming by stage of conversion and region,) approx. 212 hits 
 
- Biologische plantaardige en dierlijke productie; nationaal (organic production on national level), approx 112 hits 
10.4. Dissemination format - microdata access

This is not applicable for the data used for dataset 1a and 1b (producers and processors), and not for dataset 4b and 5 

All micro-datasets remain on the dedicated server at Statistics Netherlands. Before statistical results are released, all data is checked for the risk of disclosure.


Statistics Netherlands has several micro-data services for research, see: 
https://www.cbs.nl/en-gb/our-services/customised-services-microdata

Services are:

• Customized research, conducted by Statistics Netherlands
https://www.cbs.nl/en-gb/our-services/customised-services-microdata/customised-research

Statistics Netherlands can carry out research based on the research questions of the applicant. If necessary they can add and link researchers own datasets to statistical data sources available at Statistics Netherlands (including the agricultural census). The results of the study are published on the website of Statistics Netherlands and are thus accessible to everyone. Moreover, most publications appear in print as a research report. This work is carried out for a fixed rate per hour.

• Own research using data from Statistics Netherlands
https://www.cbs.nl/en-gb/our-services/customised-services-microdata/microdata-conducting-your-own-research

Under certain conditions, Statistics Netherlands makes available micro-data for statistical research. To be authorized to use this data the researcher must work at an organisation authorized by the Central Commission for Statistics (CCS). Research can be conducted on site at our offices in The Hague and Heerlen, or from the researchers' own workplace using a secure internet connection (remote access).

Statistics Netherlands requires that all statistical results be published and made available to other interested persons and organisations. Statistics Netherlands publishes an overview of publications based on research based on micro-data from Statistics Netherlands.

10.5. Dissemination format - other

Not available.

10.5.1. Metadata - consultations

Not requested.

10.6. Documentation on methodology

not available 

10.6.1. Metadata completeness - rate

Not applicable.

10.7. Quality management - documentation

see next question


11. Quality management Top
11.1. Quality assurance
Assurance:

- Training courses
- Use of best practices
- Quality guidelines
- Benchmarking
- Compliance monitoring

Assessment:
- Self-assessment
- Peer review
- External review or audit
- Certification
 
Statistics Netherlands is certified according to ISO 9001; a peer review was conducted in 2015. A recommendation from the ISO audit was to constantly carry out and improve the PDCA cycle (Plan, Do, Check, Act).  In 2023 the new proces of organic farming was assessed. And the result was that the incident page of the log was expanded with four columns called "recovery action", "cause-effect analyse", "improvement measure" and "effect measurement"

The follow up of the findings and recommendations of the peer review and the ISO 9001 audit is constantly monitored.

11.2. Quality management - assessment

See the attached Quality declaration.

See also: https://www.cbs.nl/en-gb/over-ons/organisation/quality.



Annexes:
quality declaration Statistics Netherlands


12. Relevance Top
12.1. Relevance - User Needs

The main groups of users are policy makers, researchers and the general public. One important reason for using the data is getting insight in how the population of organic farmers and their activities develope over the years. 

 

12.2. Relevance - User Satisfaction

There are no specific procedures to measure user satisfaction. The number of consultations of the data published on the website of Statistics Netherlands might say something (see point 10.3.1). There are two other ways that can give insight in the satisfaction and in user needs that are not met at the moment:

1) additional questions we get from users (via the press office of Statistic Netherlands);

2) to have a conversation with users about there needs.   

In the near future more divers data on organic farming will be published on the website of Statistics Netherlands. 

12.3. Completeness

not applicable 

12.3.1. Data completeness - rate

not applicable


13. Accuracy Top
13.1. Accuracy - overall

Since a large part of the data on organic farming is obtained via the annual agricultural census the assesment of accuracy of the agricultural census (IFS) is applicable. Every farmer must fill in the annual census so it should mean that we have data on every organic working farmer. The response is about 95 %

Data on the production of arable land is collected via a sample survey. It are two surveys ("Sample survey on arable crops - final results" and "Sample survey on vegetables, melons and strawberrries ") 

The sample size for the survey on arable crops is 2500 and for the survey on vegetables is 5000. Both samples include 250 organic farmers that are invited to fill in the questionairre. Data on accuraccy, sampling and non sampling if availiable, concern the total sample. There are no data available on accuracy concerning the organic farmers that are in the sample, nor on the sampling error and non-sampling error.

 

13.2. Sampling error

There is no data on the sampling error for for the crop yield of the organic farmers. The data collection on organic crop yield is element of the surveys on crop yield done bij Statistics Netherlands every year. The surveys are: the sample survey on vegetables, melons and strawberries and the sample survey on arable crops (final results).  

 

 

13.2.1. Sampling error - indicators

see 13.1

13.3. Non-sampling error

see 13.1

13.3.1. Coverage error

see 13.1

13.3.1.1. Over-coverage - rate

see 13.1

13.3.1.2. Common units - proportion

see 13.1

13.3.2. Measurement error

see 13.1

13.3.3. Non response error

see 13.1

13.3.3.1. Unit non-response - rate

see 13.1

13.3.3.2. Item non-response - rate

see 13.1

13.3.4. Processing error

see 13.1

13.3.5. Model assumption error

Not applicable.


14. Timeliness and punctuality Top
14.1. Timeliness

See concepts below.

14.1.1. Time lag - first result

The first results were published 6 months after the last day of the reference year.

14.1.2. Time lag - final result

 There was 18 months between the last day of the reference year and and the publication of the final results.

14.2. Punctuality

See concepts below.

14.2.1. Punctuality - delivery and publication

The actual publication date was in on the same day as the target date for publication.


15. Coherence and comparability Top
15.1. Comparability - geographical

 Not applicable

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

15.2. Comparability - over time
  • Certified registered organic operators
    • 2022
      • Redesign of the datawarehouse this might give different results compared with other years.
  • Certified registered organic processors
    • 2022
      • Redesign of the datawarehouse this might give different results compared with other years.
  • Certified organic crop area
  • Certified organic crop production
  • Certified organic livestock
  • Production of certified organic products of animal origin
  • Production of certified organic milk products
    • 2021
      • Milk production on the farm: was estimated every year. Starting reference year 2021 dairy farmers have to fill in their milk production in the annual agicultral census.  
      • Production of the other organic milkproducts used to be estimated by RVO but since reference year 2021 producers receive a survey on the production of organic milk products.
  • Certified organic aquaculture

 

15.2.1. Length of comparable time series
  • Certified registered organic operators: one year
  • Certified registered organic processors: one year
  • Certified organic crop area
  • Certified organic crop production
  • Certified organic livestock
  • Production of certified organic products of animal origin
  • Production of certified organic milk products: two years for both items (organic milk production on the farm and production of organic milk products)
  • Certified organic aquaculture
15.3. Coherence - cross domain

The data on organic farming are comparable with the IFS, the annual crop statistics and the animal statistics.

15.3.1. Coherence - sub annual and annual statistics

Not applicable.

15.3.2. Coherence - National Accounts

Not applicable.

15.4. Coherence - internal

The data are internally consistent. This is ensured by the application of a wide range of validation rules.


16. Cost and Burden Top

Main part of the data used for the data on organic farming is abstracted from sources that are already avaliable within Statistics Netherlands. For example a large part of the data collection on organic farming is obtained from the annual cencus on agriculture. The data collection on organic crop production is an element of the sample surveys for the crop yield held every year.


17. Data revision Top
17.1. Data revision - policy

In the revision policy, a distinction is made between provisional and final data. As long as data are provisional, changes can be made available as 'update'. Updates usually take place whenever additional or better information is available. An update does, besides the reason for the update, not require any further information for the user. As soon as data are final, changes can only be made available as ‘correction’ or ‘revision’. Corrections require additional information for the user (reason for the correction, impact, etc.).
Revisions take place when there are major changes in data and methodology, mostly with severe impact on time-series. Revisions also require additional information for the user. Mostly recalculations for previous data are made to re-establish comparable time-series.

17.2. Data revision - practice

After publication of the complete table for the organic farming, they are kept provisional for about three months. During this period there are usually no further updates. When data are final, corrections are only made if they have severe impact on the published data.

The table for organic production is published at the end of June. The provisional data from the previous year is made final and the data of the reference periode are provisional 
Normally there are only minor differences between provisional and final data; corrections after data are final are rare.

17.2.1. Data revision - average size

Not applicable.


18. Statistical processing Top
18.1. Source data

Different sources:

1. The annual agricultural census
2. The sample survey on arable (final result)
3. The sample survey on vegetables, melons and strawberries    
4. Data on production of organic milkproducts (delivered by RVO) 
5. Data on Mussels (delivered by the mussel action)
6. Data on operators and processors (extracted from the bussiness administration of Skal) 
18.2. Frequency of data collection
1. The annual agricultural census: once a year
2. The sample survey on arable (final result): once a year
3. The sample survey on vegetables, melons and strawberries: once a year    
4. Data on production of organic milkproducts (delivered by RVO): once a year 
5. Data on Mussels (delivered by the mussel action): once a year
6. Data on operators and processors (extracted from the bussiness administration of Skal): once a year 

 

18.3. Data collection

All the farmers have to fill in the annual agricultural census. RVO is responsible for the collection of the data 

Data on organic crop yield is collected via two sample surveys: the sample survey on arable crops (final result) and the sample survey on vegetables, melons and strawberries. Both samples are drawn from the farmers that filled in the annual census for arable crops and/or vegetables. 

 

 

18.4. Data validation
The validation of the annual agricultural census
 
Types of validation checks for the annual agricultural census:

Data format checks
Completeness checks
Routing checks
Range checks
Relational checks
Data flagging
Comparisons with previous rounds of the data collection
Comparisons with other domains in agricultural statistics

 
Tools used for data validation: 
Data validation is, as far as possible, already implemented in the internet application. After data collection several software tools are used during processing and validation (SPSS, R, Excel).
 
 
Data validation on the sample surveys on crop yield
 
Data validations measures for the two sample surveys are done automatic and manual. the vlaidation measures target completeness of the data collected, outliers and the aggregate calculations     
 
 
 
18.5. Data compilation

Data compilation agricultural census:

After data collection and pre-processing by RVO data is transferred to Statistics Netherlands for final data compilation, which includes checks and analyses at different levels (micro, meso, macro).
 

 
18.5.1. Imputation - rate

Imputation For the annual agricultural census:

 
The overall imputation rate is approx. 1%. Imputation is done for unit non-response, and includes all corresponding variables from the previous data collection.
18.6. Adjustment

Adjustment for the annual agricultural census:

Covered under Data compilation. 

18.6.1. Seasonal adjustment

Not applicable.


19. Comment Top

RVO - Rijksdienst voor Ondernemend Nederland/Netherland Enterprise Agency


Related metadata Top


Annexes Top