Economic accounts for agriculture (aact)

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

Compiling agency: Statistics Netherlands (CBS), Mr. Ron van der Wal (responsible for completing the quality report EAA) Wageningen Economic Research, (WECR), Mr. David Verhoog


Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)
 



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Statistics Netherlands (CBS), Mr. Ron van der Wal (responsible for completing the quality report EAA)

Wageningen Economic Research, (WECR), Mr. David Verhoog



Annexes:
ESQRS_ANNEX_Netherlands
1.2. Contact organisation unit

Statistics Netherlands (CBS), Department National Accounts.

Wageningen Economic Research, (WECR), Department Arigultural Policy.
1.5. Contact mail address

CBS: Henri Faasdreef 312, 2492 JP Den Haag, The Netherlands.

WECR: Pr. Beatrixlaan 582  Den Haag, The Netherlands.


2. Statistical presentation Top
2.1. Data description

Main characteristics

2.1.1 Describe shortly the main characteristics of the statistics  

The Economic Accounts for Agriculture (EAA) provide detailed information on income in the agricultural sector. The purpose is to analyse the production process of the agricultural industry and the primary income generated by this production. The accounts are therefore based on the industry concept. The EAA accounts are detailed data on value of output (producer prices and basic prices), intermediate consumption, subsidies and taxes, consumption of fixed capital, rent and interests, capital formation etc. The values are in current as well as in constant prices. Agricultural Labour Input (ALI) and Unit Values (UV) are an integrated part of the overall concept of Economic Accounts for Agriculture.


Reference period

2.1.2 Reference period of the data collection 

2017
2.1.3 Is the reference period based on the calendar year starting January 1st and ending December 31st? Yes
2.1.4 If No, please specify


National legislation

2.1.5 Is there a national legislation covering these statistics?  No
If Yes, please answer all the following questions.  
2.1.6 Name of the national legislation 
2.1.7 Link to the national legislation 
2.1.8 Responsible organisation for the national legislation 
2.1.9 Year of entry into force of the national legislation 
2.1.10 Please indicate which variables required under EU regulation are not covered by national legislation, if any.
2.1.11 Please indicate which national definitions differ from those in the EU regulation, if any. 
2.1.12 Is there a legal obligation for respondents to reply? 


Additional comments on data description
2.2. Classification system

The EAA is an integral part of the European system of accounts and therefore for their compilation the Eurostat's general classification of economic activities, NACE Rev. 2, is used.
2.3. Coverage - sector

EAA cover the Agricultural sector.
2.4. Statistical concepts and definitions

One of the principal objectives of the EAA is to measure agricultural income and changes therein.
The three agricultural income indicators can be described as follows:
Indicator A: index of the real income of factors in agriculture per AWU
Indicator B: index of real net agricultural entrepreneurial income, per non-salaried AWU
Indicator C: net entrepreneurial income of agriculture
2.5. Statistical unit

In order to analyse flows generated by the production process and the use of goods and services, it is necessary to select units which emphasise relationships of a technico-economic kind. This requirement means that as a rule institutional units must be partitioned into smaller and more homogeneous units with regard to the kind of production. Local kind-of-activity units (local KAUs) are intended to meet this requirement as a first but practically-oriented operational approach
2.6. Statistical population

The agricultural holding, which is the unit currently used for statistical studies of agriculture (censuses, surveys of the structure of agricultural holdings), is the local KAU most appropriate to the agricultural industry.In addition to agricultural holdings, the agricultural industry comprises units made up of groups of producers (e.g. cooperatives) which produce wine and olive oil and specialised units which provide machines, material and labour for the performance of contract work.
2.7. Reference area
2.7.1 Geographical area covered

The entire territory of the country.
2.7.2 Which special Member State territories are included?
2.8. Coverage - Time

The time periods covered by the data set concerns the time series 1995-2017. This is based on the benchmark revision 2015 of the EAA and national accounts.
2.9. Base period

The time series 1995-2017 is based on the benchmark revision 2015 of the EAA and national accounts. All data transmitted are in values at current prices (in mio Euro, at fixed exchange rates) and values at prices for the preceding year (in mio Euro, at fixed exchange rates).


3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used

Number of data sources used: 25
The breakdown is as follows: 
3.1.2 Total number of sources of the type "Census"

1 census.
3.1.3 Total number of sources of the type "Sample survey"

5 sample surveys
3.1.4 Total number of sources of the type "Administrative source"

2 administrative sources.
3.1.5 Total number of sources of the type "Experts"

0 experts.
3.1.6 Total number of sources of the type "Other sources"

17 other sources.


Census

If there is a specific census conducted in your country to collect data exclusively for the EAA please describe it in this part. For other data sources please use table 3.1 in the annexed Excel file. If metadata already exist just provide the name of the data source. 
3.1.7 Name/Title
3.1.8 Name of Organisation responsible
3.1.9 Main scope
3.1.10 List used to build the frame
3.1.11 Any possible threshold values
3.1.12 Population size
3.1.13 Additional comments


Sample survey

If there is a specific survey conducted in your country to collect data exclusively for the EAA please describe it in this part. For other data sources please use table 3.1. If metadata already exist just provide the name of the data source.(e.g. FSS, Crop production, Animal production, Prices in Agriculture) 
3.1.14 Name/Title
3.1.15 Name of Organisation responsible
3.1.16 Main scope
3.1.17 List used to build the frame
3.1.18 Any possible threshold values
3.1.19 Population size
3.1.20 Sample size
3.1.21 Sampling basis
3.1.22 If Other, please specify
3.1.23 Type of sample design
3.1.24 If Other, please specify
3.1.25 If Stratified, number of strata
3.1.26 If Stratified, stratification criteria
3.1.27 If Other, please specify
3.1.28 Additional comments


Administrative source

If there is a specific administrative source in your country witch provide data exclusively for the EAA please describe it in this part. For other administrative sources please use table 3.1. If metadata already exist just provide the name of the data source. 
3.1.29 Name/Title
3.1.30 Name of Organisation responsible
3.1.31 Contact information (email and phone)
3.1.32 Main administrative scope
3.1.33 Geospatial Coverage
3.1.34 Update frequency
3.1.35 Legal basis
3.1.36 Are you able to access directly to the micro data?
3.1.37 Are you able to check the plausibility of the data, namely by contacting directly the units?
3.1.38 How would you assess the proximity of the definitions and concepts (including statistical units) used in the administrative source with those required in the EU regulation?
3.1.39 Please list the main differences between the administrative source and the statistical definitions and concepts
3.1.40 Is a different threshold used in the administrative source and statistical data?
3.1.41 If Yes, please specify
3.1.42 Additional comments


Experts

If there is a specific expert source in your country witch provide data exclusively for the EAA please describe it in this part. For other expert sources please use table 3.1. If metadata already exist just provide the name of the data source.
3.1.43 Name/Title
3.1.44 Primary purpose
3.1.45 Legal basis
3.1.46 Update frequency
3.1.47 Expert data supplier
3.1.48 If Other, please specify
3.1.49 How would you assess the quality of those data?
3.1.50 Additional comments


Other sources

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file 
3.1.51 Name/Title
3.1.52 Name of Organisation
3.1.53 Primary purpose
3.1.54 Data type
3.1.55 If Other, please specify
3.1.56 How would you assess the quality of those data?
3.1.57 Additional comments

 
3.2. Frequency of data collection

Annual
3.3. Data collection

Census

If there is a specific census conducted in your country to collect data exclusively for the EAA please describe the method of data collection in this part. For other data sources please use table 3.3. If metadata alredy exist just provide the name of the data source. 
3.3.1 Name/Title
3.3.2 Methods of data collection
3.3.3 If Other, please specify
3.3.4 If face-to-face or telephone interview, which method is used?
3.3.5 Data entry method, if paper questionnaires?
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.7 Additional comments


Sample survey

If there is a specific survay conducted in your country to collect data exclusively for the EAA please describe the method of data collection in this part.For other data sources please use table 3.3. If metadata alredy exist just provide the name of the data source. 
3.3.8 Name/Title
3.3.9 Methods of data collection
3.3.10 If Other, please specify
3.3.11 If face-to-face or telephone interview, which method is used?
3.3.12 Data entry method, if paper questionnaires?
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.14 Additional comments


Administrative source

If there is a specific administrative source in your country to collect data exclusively for the EAA please describe the metod of data collection in this part.For other data sources please use table 3.3. If metadata alredy exist just provide the name of the data source. 
3.3.15 Name/Title
3.3.16 Extraction date
3.3.17 How easy is it to get access to the data?
3.3.18 Data transfer method
3.3.19 Additional comments


Experts

If there is a specific expert source in your country witch provide data exclusively for the EAA please describe the metod of data collection in this part. For other expert sources please use table 3.3. If metadata alredy exist just provide the name of the data source.
3.3.20 Name/Title
3.3.21 Methods of data collection
3.3.22 Additional comments
3.4. Data validation
3.4.1 Which kind of data validation measures are in place? Manual
3.4.2 What do they target? Consistency
Aggregates
Outliers
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

In the Netherlands, agriculture is subject to simultaneous estimates in the context of the National Accounts and the EAA. The EAA are compiled simultaneously with the national accounts and have a degree of interdependence which is characteristic to satellite accounts. In this way there is always a link between the estimates of the EEA and the NA. A bridge table for the EAA and National Accounts can be established, in which theoretical and practical divergences between the two accounting systems can be recorded .
3.5.2 Additional comments
3.6. Adjustment
No specific adjustments have been made.


4. Quality management Top
4.1. Quality assurance
4.1.1 Is there a quality management system used in the organisation? Yes
4.1.2 If yes, how is it implemented?
The agricultural accounts are simultaneously estimated with agriculture in the National accounts.
4.1.3 Has a peer review been carried out? No
4.1.4 If Yes, which were the main conclusions?
4.1.5 What quality improvements are foreseen? Improve data validation
Further automation
4.1.6 If Other, please specify
4.1.7 Additional comments

Internal checking procedures In the final stage of each quarter and year compilation cycle a quality control (a so-called checkrecheck) meeting is held attended by internal, independent experts, not involved in the compilation process including the chief economist of Statistics Netherlands. The aim of these meetings are discussing the main results, informing colleagues about recent economic developments and formally approving the results. In preparing such meetings all compilers have to report on major events and summary reports of are sent to the Management Team of the National Accounts Department. 
4.2. Quality management - assessment

Development since the last quality report

4.2.1 Overall quality Stable
4.2.2 Relevance Stable
4.2.3 Accuracy and reliability Stable
4.2.4 Timeliness and punctuality Stable
4.2.5 Comparability Stable
4.2.6 Coherence Stable
4.2.7 Additional comments
Supervision and control systems for national accounts also implicitly apply to the EAA. For more information, see chapter 1.1.3 of the Gross National Income Inventory (ESA 2010) Reporting Year 2015 The Netherlands.
 
https://www.cbs.nl/nl-nl/publicatie/2019/07/bruto-nationaal-inkomen-methodologie-volgens-esa-2010


5. Relevance Top
5.1. Relevance - User Needs
5.1.1 If certain user needs are not met, please specify which and why

N.A.
5.1.2 Please specify any plans to satisfy needs more completely in the future

Website Statistics Netherlands Statline tables EAA in English.
5.1.3 Additional comments
5.2. Relevance - User Satisfaction
5.2.1 Has a user satisfaction survey been conducted? No
If Yes, please answer all the following questions 
5.2.2 Year of the user satisfaction survey
5.2.3 How satisfied were the users?
5.2.4 Additional comments
5.3. Completeness
5.3.1 Data completeness - rate
The ratio of the number of data cells provided to the required number of data cells is 100 percent.
5.3.2 If not complete, which characteristics are missing?
5.3.3 Additional comments
In the Dutch EAA data cells are not filled because some outputs and inputs do not occur.


6. Accuracy and reliability Top
6.1. Accuracy - overall
6.1.1 How good is the accuracy? Good
6.1.2 What are the main factors lowering the accuracy? Measurement error
Coverage error
Non-response error
6.1.3 If Other, please specify
6.1.4 Additional comments
6.2. Sampling error

N.A.
6.2.1. Sampling error - indicators
6.3. Non-sampling error

N.A.
6.3.1. Coverage error
6.3.1.1. Over-coverage - rate
6.3.1.2. Common units - proportion
6.3.2. Measurement error
6.3.3. Non response error
6.3.3.1. Unit non-response - rate
6.3.3.2. Item non-response - rate
6.3.4. Processing error
6.3.4.1. Imputation - rate
6.3.5. Model assumption error
6.4. Seasonal adjustment

N.A.
6.5. Data revision - policy

Regular estimates

The National Accounts and EAA of the Netherlands (online) are published in in the first half of July every year. This release provides provisional estimates for the most recent year (n-1) and the ‘final’ estimates for years earlier. Provisional data are subsequently adjusted.

Published final data are generally not revised and remain unchanged until the next benchmark revision. In general, preliminary data contain less detail in products than the final results. For both provisional and final National Accounts and EAA, the comparability of results over time is ensured.
The (provisional) AII estimates of year n are available in November (first forecast) and in January (second forecast).

Further information on benchmark revisions

The national accounts and EAA provide a quantitative description of the economic developments in the Netherlands which took place in a certain period of time. The information required for the compilation of the National Accounts and EAA is obtained from a large variety of sources which may over time differ in composition and quality. Changes in data sources can lead to new insights with regard to level estimates and price and volume changes of variables. Because the information requirements of National Accounts and EAA users also change in the course of time, it may be necessary to amend definitions, classifications and estimation methods.

A proper description of an economic phenomenon (actor, transaction) should satisfy two conditions:
•       Up-to-date level estimates;
•       Correct growth estimates (continuity principle).

Up-to-date levels refer to description of the economic process for a given period of time, applying the latest insights in definitions, statistical sources, etc. Continuity refers to comparability of the data over a sequence of periods, resulting in proper estimates of value, volume and price changes. It is not (always) possible to meet both requirements simultaneously. In the Dutch National Accounts and EAA, priority is given to the continuity condition and ensuring that the data are comparable with those of a pre-determined base year, the year for which the latest benchmark revision was carried out. To this end, price and volume changes of product transactions between individual periods are estimated as accurately as possible. Level estimates are brought back to source statistics when conducting benchmark revisions. In this way the continuity requirement is met at all times.

The up-to-date levels requirement is met by frequently conducting benchmark revisions when level estimates of national accounts variables are adjusted in line with the latest findings in the field of concepts, definitions, classifications, estimation methods and the like. In a benchmark revision, all recent insights are processed simultaneously and all level estimates are reviewed. Subsequently the existing time series are back-casted accordingly, restoring comparability over time. Benchmark revisions obviously require considerable effort, which makes annual benchmarking and back-casting very resource demanding. The national accounts and EAA are revised periodically, however not too frequently in order not to distort the comparability of data over time too often. Limiting the occurrence of data gaps and disturbances in time series is much appreciated by the users of national accounts and EAA.

Over the last four decades benchmark revisions of the Dutch national accounts have taken place for the following reporting years: 1977, 1987, 1995, 2001, 2010 and 2015. New industrial classifications were implemented for the reporting years 1993 (NACE, rev. 1) and 2008 (NACE, rev. 2). These ‘technical’ adjustments did not lead to revisions of the macroeconomic data. From now, benchmark revisions take place for the reporting years ending in 0 or 5. This means that the next benchmark revision is about statistical year 2020.
 
The main reason for the last 2010 benchmark revision are the conceptual changes as laid down in ESA 2010. Conceptual changes in ESA 2010 compared to ESA 95 concern in particular the broadened scope of gross fixed capital formation and amending some of the consequences of globalisation. The scope of gross fixed capital formation is extended with respect of intangible assets (intellectual property products).They are now seen as a typical feature of the present (new) economy. The main item in this field is research and development (R&D). Other important items are military equipment, economic ownership and illegal activities as illegal production of cannabis, heroine, XTC, prostitution etc. Although the current EAA manual is still based on ESA 1995 definitions, many of the conceptual ESA 2010 changes are also implemented in the revised EAA for the Netherlands (with the exception of illegal activities). However, these changes had a very small impact to the revised EAA figures.

Another reason for the 2010 and 2015 revision is to accommodate the changes in statistical information. Since the 2001 benchmark revision many changes in the compilation of source statistics took place. As a consequence of the continuous attention paid by Statistics Netherlands to the reduction of the administrative burden on the business community, statistics are to a lesser extend based on surveys and more increasingly on existing administrative data like tax registers. The information in tax registers is often less detailed but on the other hand holds a nearly exhaustive coverage of the target population. An important example is the use of VAT declarations in the compilation of business statistics (for the agricultural domain e.g. business statistics on agricultural services). In the past, samples were grossed up to the target population as registered in the general business register. Nowadays turnover from the VAT-declarations is used as target for grossing up samples for small and medium enterprises. A second important administrative source used in this benchmark revision are the tax declarations for wages. These are the most important source for the estimation of the compensation of employees and the number of jobs in the NA and EAA. They also provide an opportunity to check the plausibility of business survey statistics.

Regarding  the regular estimates for the Eurostat September update, the provisional figures of the EAA for year n are ready for year n-1. Definitive accounts for year n are available for the year n-2.

(The (provisional) AII estimates for year n are available in November of year n (first forecast) and in the next January (second forecast).
6.6. Data revision - practice
6.6.1 Data revision - average size
For the current estimates, indicator A is seen as a key item. There are four estimates for indicator A: the first estimate (December T); the second estimate (January T+1); the preliminary estimate = final estimate Eurostat (September T+1); the final estimate (September T+2).
 
It is stated that between the first estimate and the final estimate revisions no more than 0.5 percentage point indicator A may differ.
6.6.2 Were data revisions due to conceptual changes (e.g. new definitions)  carried out since the last quality report? Yes
6.6.3 What was the main reason for the revisions?
ESA 2010 definitions have been implemented in the EAA.
6.6.4 How do you evaluate the impact of the revisions? Important
6.6.5 Additional comments
The EAA is simultaneously estimated with the national accounts. In the revision publications of the national accounts (2010 and 2015) the impact on the agriculture of these revisions is explained in more detail.


7. Timeliness and punctuality Top
7.1. Timeliness
7.1.1 When were  the first  results for the reference period published?

December 2017
7.1.2 When were  the final results for the reference period published?

June 2018 Eurostat definitive EAA.

June 2019 final EAA
7.1.3 Reasons for possible long production times?
The provisional and final EAA is estimated in conjunction with the balancing of supply and usage tables of the national accounts.
7.2. Punctuality
7.2.1 Were data released nationally according to a pre-announced schedule (Release Calendar)? Yes
7.2.2 If Yes, were data released on the target date? Yes
7.2.3 If No, reasons for delays?
7.2.4 Number of days between the national release date of data and the target date


8. Coherence and comparability Top
8.1. Comparability - geographical

To be assessed by Eurostat
8.1.1. Asymmetry for mirror flow statistics - coefficient

Not possible.
8.2. Comparability - over time
8.2.1 Length of comparable time series

The tiime series 1986-1994: 8 years.

The time series 1995-2017: 23 years.
8.2.2 Have there been major breaks in the time series? Yes
8.2.3 If Yes, please specify the year of break and the reason
It was decided not to recalculate the benchmark revision 2015 of the national accounts beyond 1995.
8.2.4 Additional comments
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared?

the system of supply and use tables, the goods and services of the output and input of agriculture are confronted with supply and demand of these goods and services (figures from foreign trade, animal feed industry, dairy industry, consumption etc.)
8.3.2 Describe briefly the results of comparisons
The estimate of agriculture fits. No large balancing adjustments need to be made.
8.3.3 If no comparisons have been made, explain why
8.3.4 Additional comments
8.4. Coherence - sub annual and annual statistics
All data (subanual and anual) is or will be treated on a calendar year basis.
8.5. Coherence - National Accounts

Use of EAA-data in NA calculations

Are EAA used by NA as data source for Group 01 Degree of implication Please describe briefly the reasons
Output Only source used

The EAA is simultaneously estimated with the national accounts.
Intermediate consumption Only source used

The EAA is simultaneously estimated with the national accounts.
Fixed capital consumption Only source used

The EAA is simultaneously estimated with the national accounts.
Compensation of employees Only source used

The EAA is simultaneously estimated with the national accounts.
Taxes Only source used

The EAA is simultaneously estimated with the national accounts.
Subsidies Only source used

The EAA is simultaneously estimated with the national accounts.
Rents Only source used

The EAA is simultaneously estimated with the national accounts.
Interest Only source used

The EAA is simultaneously estimated with the national accounts.
Gross fixed capital formation Only source used

The EAA is simultaneously estimated with the national accounts.
Labour input Only source used

The EAA is simultaneously estimated with the national accounts.


Use of NA-data in EAA calculations

Are NA used as data source for EAA Degree of implication  Please describe briefly the reasons 
Output Only source used

The EAA is simultaneously estimated with the national accounts.
Intermediate consumption Only source used

The EAA is simultaneously estimated with the national accounts.
Fixed capital consumption Only source used

The EAA is simultaneously estimated with the national accounts.
Compensation of employees Only source used

The EAA is simultaneously estimated with the national accounts.
Taxes Only source used

The EAA is simultaneously estimated with the national accounts.
Subsidies Only source used

The EAA is simultaneously estimated with the national accounts.
Rents Only source used

The EAA is simultaneously estimated with the national accounts.
Interest Only source used

The EAA is simultaneously estimated with the national accounts.
Gross fixed capital formation Only source used

The EAA is simultaneously estimated with the national accounts.
Labour input Only source used

The EAA is simultaneously estimated with the national accounts.
8.6. Coherence - internal

Each set of outputs is internally consistent


9. Accessibility and clarity Top
9.1. Dissemination format - News release
9.1.1 Do you publish a news release? Yes
9.1.2 If Yes, please provide a link

https://www.cbs.nl/nl-nl/nieuws/2017/51/inkomsten-in-de-landbouw-gestegen
9.2. Dissemination format - Publications
9.2.1 Do you produce a paper publication? Yes
9.2.2 If Yes, is there an English version? No
9.2.3 Do you produce an electronic publication? Yes
9.2.4 If Yes, is there an English version? No
9.2.5 Please provide a link
9.3. Dissemination format - online database
9.3.1 Data tables - consultations

Number of consultations: 120
9.3.2 Is an on-line database accessible to users? Yes
9.3.3 Please provide a link

https://statline.cbs.nl/Statweb/dome/?LA=nl
9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? No
9.4.2 Please provide a link
9.5. Dissemination format - other

The Main users of economic accounts for agriculture data are Ministry for Economic Affairs, Ministry of Finance, Wageningen Economic Research, universities, external news organisation etc.  
9.6. Documentation on methodology
9.6.1 Are national reference metadata files available? Yes
9.6.2 Please provide a link

https://statline.cbs.nl/Statweb/selection/?DM=SLNL&PA=84298NED&VW=T

Push button: i
9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link

https://www.cbs.nl/nl-nl/onze-diensten/methoden/onderzoeksomschrijvingen/korte-onderzoeksbeschrijvingen/landbouwrekeningen
9.6.5 Is a handbook available? Yes
9.6.6 Please provide a link

https://eur-lex.europa.eu/legal-content/NL/TXT/?uri=CELEX%3A32004R0138
9.7. Quality management - documentation
9.7.1 Metadata completeness - rate

N.A.
9.7.2 Metadata - consultations

N.A.
9.7.3 Is a quality report available? Yes
9.7.4 Please provide a link

This quality report.


10. Cost and Burden Top
10.1 Efficiency gains if compared to the previous quality report Increased use of administrative data
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report Easier data transmission
10.4 If Other, please specify


11. Confidentiality Top
11.1. Confidentiality - policy
11.1.1 Are confidential data transmitted to Eurostat? No
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009?
11.1.3 Describe the data confidentiality policy in place

What Statistics Netherlands can and cannot publish follows from its statistical disclosure control policy, as set down in the Statistical Disclosure Control Handbook (Hundepool et al., 2006). Here, statistical disclosure control means preventing that content-related conclusions concerning recognisable units are made based on published or otherwise available Statistics Netherlands data.

The meso and macro information from statistical sources listed in this inventory is sufficiently detailed to estimate the EAA. Nevertheless the information at micro level from the SN-sources is  available for internal use. Confidentiality rules are not an issue for the disclosure of the EEA.
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

Statistics Netherlands ensures the confidentiality of individual data.
11.2.2 Additional comments


12. Comment Top

No comments.


Related metadata Top


Annexes Top
ESQRS_ANNEX_EAA_Netherlands