Municipal Person Registration, Income Tax declarations, Labour Force Survey
Gemeentelijke Basisadministratie (GBA), Aangiften Inkomstenbelasting (IB), Enquête Beroepsbevolking (EBB)
| Topic |
Work and Productivity
Health and Performance
Social Systems and Welfare
Education and Learning
Housing, Urban Development and Mobility
Public Attitudes towards Older Age
Social, Civic and Cultural Engagement
Uses of Technology
Wellbeing
Intergenerational Relationships
|
| Relevance for this Topic |
|
| Country | Netherlands |
| More Topics |
Governance
Contact information
Department of Demographic Statistics
Statistics Netherland
Henri Faasdreef 312
2492 JP Den Haag
Netherlands
Phone: Infoservice: 003188 570 70 70
Email: info(at)cbs.nl
Timeliness, transparency
Data is collected annually and is available 9 months after collection.Type of data
Registry + Survey
Type of Study
Cross-section, regular
Data gathering method
Registries
Registries, combined with imputation model, based on survey information.
Type of data
Registry + Survey
Type of Study
Cross-section, regular
Data gathering method
Registries
Registries, combined with imputation model, based on survey information.
Type of data
Registry + Survey
Type of Study
Cross-section, regular
Data gathering method
Registries
Registries, combined with imputation model, based on survey information.
Type of data
Registry + Survey
Type of Study
Cross-section, regular
Data gathering method
Registries
Registries, combined with imputation model, based on survey information.
Type of data
Registry + Survey
Type of Study
Cross-section, regular
Data gathering method
Registries
Registries, combined with imputation model, based on survey information.
Type of data
Registry + Survey
Type of Study
Cross-section, regular
Data gathering method
Registries
Registries, combined with imputation model, based on survey information
Type of data
Registry + Survey
Type of Study
Cross-section, regular
Data gathering method
Registries
Registries, combined with imputation model, based on survey information.
Type of data
Registry + Survey
Type of Study
Cross-section, regular
Data gathering method
Registries
Registries, combined with imputation model, based on survey information.
Access to data
Data cannot be downloaded directly.
Conditions of access
Access to data requires:
(1) Access fee
(2) Official authorization (CCS)
Months
Anonymized microdata
SPSS (default)
Contact data administrator (see contact information)
Access to data
Data cannot be downloaded directly.
Conditions of access
Access to data requires:
(1) Access fee
(2) Official authorization (CCS)
Months
Anonymized microdata
SPSS (default)
Contact data administrator (see contact information)
Access to data
Data cannot be downloaded directly.
Conditions of access
Access to data requires:
(1) Access fee
(2) Official authorization (CCS)
Months
Anonymized microdata
SPSS (default)
Contact data administrator (see contact information)
Access to data
Data cannot be downloaded directly.
Conditions of access
Access to data requires:
(1) Access fee
(2) Official authorization (CCS)
Months
Anonymized microdata
SPSS (default)
Contact data administrator (see contact information)
Access to data
Data cannot be downloaded directly.
Conditions of access
Access to data requires:
(1) Access fee
(2) Official authorization (CCS)
Months
Anonymized microdata
SPSS (default)
Contact data administrator (see contact information)
Access to data
Data cannot be downloaded directly.
Conditions of access
Access to data requires:
(1) Access fee
(2) Official authorization (CCS)
Months
Anonymized microdata
SPSS (default)
Contact data administrator (see contact information)
Access to data
Data cannot be downloaded directly.
Conditions of access
Access to data requires:
(1) Access fee
(2) Official authorization (CCS)
Months
Anonymized microdata
SPSS (default)
Contact data administrator (see contact information)
Access to data
Data cannot be downloaded directly.
Conditions of access
Access to data requires:
(1) Access fee
(2) Official authorization (CCS)
Months
Anonymized microdata
SPSS (default)
Contact data administrator (see contact information)
Coverage
Data was collected between 1995 and 2012; data collection is ongoing and is scheduled to continue at some point in the future. It is an integral observation of the Dutch population.
1995
Not applicable
Not applicable
Entire Dutch population
No age restrictions
Detailed study of:
Household attributes, such as type of household, number of children.
Coverage
Data was collected between 1995 and 2012; data collection is ongoing and is scheduled to continue at some point in the future. It is an integral observation of the Dutch population.
1995
Not applicable
Not applicable
Entire Dutch population
No age restrictions
Detailed study of:
Household attributes, such as type of household, number of children.
Coverage
Data was collected between 1995 and 2012; data collection is ongoing and is scheduled to continue at some point in the future. It is an integral observation of the Dutch population.
1995
Not applicable
Not applicable
Entire Dutch population
No age restrictions
Detailed study of:
Household attributes, such as type of household, number of children.
Coverage
Data was collected between 1995 and 2012; data collection is ongoing and is scheduled to continue at some point in the future. It is an integral observation of the Dutch population.
1995
Not applicable
Not applicable
Entire Dutch population
No age restrictions
Detailed study of:
Household attributes, such as type of household, number of children.
Coverage
Data was collected between 1995 and 2012; data collection is ongoing and is scheduled to continue at some point in the future. It is an integral observation of the Dutch population.
1995
Not applicable
Not applicable
Entire Dutch population
No age restrictions
Detailed study of:
Household attributes, such as type of household, number of children.
Coverage
Data was collected between 1995 and 2012; data collection is ongoing and is scheduled to continue at some point in the future. It is an integral observation of the Dutch population.
1995
Not applicable
Not applicable
Entire Dutch population
No age restrictions
Detailed study of:
Household attributes, such as type of household, number of children.
Coverage
Data was collected between 1995 and 2012; data collection is ongoing and is scheduled to continue at some point in the future. It is an integral observation of the Dutch population.
1995
Not applicable
Not applicable
Entire Dutch population
No age restrictions
Detailed study of:
Household attributes, such as type of household, number of children.
Coverage
Data was collected between 1995 and 2012; data collection is ongoing and is scheduled to continue at some point in the future. It is an integral observation of the Dutch population.
1995
Not applicable
Not applicable
Entire Dutch population
No age restrictions
Detailed study of:
Household attributes, such as type of household, number of children.
Coverage
Data was collected between 1995 and 2012; data collection is ongoing and is scheduled to continue at some point in the future. It is an integral observation of the Dutch population.
1995
Not applicable
Not applicable
Entire Dutch population
No age restrictions
Detailed study of:
Household attributes, such as type of household, number of children.
Coverage
Data was collected between 1995 and 2012; data collection is ongoing and is scheduled to continue at some point in the future. It is an integral observation of the Dutch population.
1995
Not applicable
Not applicable
Entire Dutch population
No age restrictions
Detailed study of:
Household attributes, such as type of household, number of children.
Data quality
Household structure is not evident for the small part of the entire population; imputation of household structure, using Labour Force Survey information.
Methodological break: improvement in the method by using household-information from income tax declarations from 2011 onwards.
Terminology is consistent in time.
Data quality
Household structure is not evident for the small part of the entire population; imputation of household structure, using Labour Force Survey information.
Methodological break: improvement in the method by using household-information from income tax declarations from 2011 onwards.
Terminology is consistent in time.
Data quality
Household structure is not evident for the small part of the entire population; imputation of household structure, using Labour Force Survey information.
Methodological break: improvement in the method by using household-information from income tax declarations from 2011 onwards.
Terminology is consistent in time.
Data quality
Household structure is not evident for the small part of the entire population; imputation of household structure, using Labour Force Survey information.
Methodological break: improvement in the method by using household-information from income tax declarations from 2011 onwards.
Terminology is consistent in time.
Data quality
Household structure is not evident for the small part of the entire population; imputation of household structure, using Labour Force Survey information.
Methodological break: improvement in the method by using household-information from income tax declarations from 2011 onwards.
Terminology is consistent in time.
Data quality
Household structure is not evident for the small part of the entire population; imputation of household structure, using Labour Force Survey information.
Methodological break: improvement in the method by using household-information from income tax declarations from 2011 onwards.
Terminology is consistent in time.
Data quality
Household structure is not evident for the small part of the entire population; imputation of household structure, using Labour Force Survey information.
Methodological break: improvement in the method by using household-information from income tax declarations from 2011 onwards.
Terminology is consistent in time.
Data quality
Household structure is not evident for the small part of the entire population; imputation of household structure, using Labour Force Survey information.
Methodological break: improvement in the method by using household-information from income tax declarations from 2011 onwards.
Terminology is consistent in time.
Data quality
Household structure is not evident for the small part of the entire population; imputation of household structure, using Labour Force Survey information.
Methodological break: improvement in the method by using household-information from income tax declarations from 2011 onwards.
Terminology is consistent in time.
Data quality
Household structure is not evident for the small part of the entire population; imputation of household structure, using Labour Force Survey information.
Methodological break: improvement in the method by using household-information from income tax declarations from 2011 onwards.
Terminology is consistent in time.
Applicability
Strengths:
The data provides full coverage of the Dutch population, has great linkage and is also in time. Data provided is also of high quality.
Weaknesses:
The registry uses the de jure population and has a separate estimate of the illegal population.
Applicability
Strengths:
The data provides full coverage of the Dutch population, has great linkage and is also in time. Data provided is also of high quality.
Weaknesses:
The registry uses the de jure population and has a separate estimate of the illegal population.
Applicability
Strengths:
The data provides full coverage of the Dutch population, has great linkage and is also in time. Data provided is also of high quality.
Weaknesses:
The registry uses the de jure population and has a separate estimate of the illegal population.
Applicability
Strengths:
The data provides full coverage of the Dutch population, has great linkage and is also in time. Data provided is also of high quality.
Weaknesses:
The registry uses the de jure population and has a separate estimate of the illegal population.
Applicability
Strengths:
The data provides full coverage of the Dutch population, has great linkage and is also in time. Data provided is also of high quality.
Weaknesses:
The registry uses the de jure population and has a separate estimate of the illegal population.
Applicability
Strengths:
The data provides full coverage of the Dutch population, has great linkage and is also in time. Data provided is also of high quality.
Weaknesses:
The registry uses the de jure population and has a separate estimate of the illegal population.
Applicability
Strengths:
The data provides full coverage of the Dutch population, has great linkage and is also in time. Data provided is also of high quality.
Weaknesses:
The registry uses the de jure population and has a separate estimate of the illegal population.
Applicability
Strengths:
The data provides full coverage of the Dutch population, has great linkage and is also in time. Data provided is also of high quality.
Weaknesses:
The registry uses the de jure population and has a separate estimate of the illegal population.
- The information about this dataset was compiled by the author:
- Frank P. Pijpers
- (see Partners)