The European Union Statistics on Income and Living Conditions (EU-SILC)
The European Union Statistics on Income and Living Conditions (EU-SILC)
| Topic |
Social, Civic and Cultural Engagement
Social Systems and Welfare
Work and Productivity
Wellbeing
|
| Relevance for this Topic |
|
| Country | Netherlands |
| More Topics |
Governance
Contact information
Department of Labour, Income and Living conditions
Statistics Netherlands
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.Type of data
Survey
Type of Study
Longitude survey: long-term study of random or different samples
Rotating panel survey (CATI), combined with electronic registrations.
Data gathering method
Telephone interview (CATI)
Type of data
Survey
Type of Study
Longitude survey: long-term study of random or different samples
Rotating panel survey (CATI), combined with electronic registrations.
Data gathering method
Telephone interview (CATI)
Access to data
Contact data administrator (see contact information).
Conditions of access
Contact data administrator (see contact information).
Months
Anonymised microdata
SPSS (default)
Data is available in English and Dutch.
Access to data
Contact data administrator (see contact information).
Conditions of access
Contact data administrator (see contact information).
Months
Anonymised microdata
SPSS (default)
Data is available in English and Dutch.
Coverage
Data has been collected since 2005 (2005-2011) with a total sample size of 9,000 individuals and their household members. Data collection is ongoing and is scheduled to continue at some point in the future.
2005
Post-stratification and weight corrections using age, sex, household size, household income, living situation and province.
Sample of the Labour Force Survey.
Dutch population in non-institutional households.
No age restrictions
Representative for all non-institutional households in the Netherlands.
Detailed study of:
Income, poverty, social exclusion and living conditions.
Coverage
Data has been collected since 2005 (2005-2011) with a total sample size of 9,000 individuals and their household members. Data collection is ongoing and is scheduled to continue at some point in the future.
2005
Post-stratification and weight corrections using age, sex, household size, household income, living situation and province.
Sample of the Labour Force Survey.
Dutch population in non-institutional households.
No age restrictions
Representative for all non-institutional households in the Netherlands.
Detailed study of:
Income, poverty, social exclusion and living conditions.
Coverage
Data has been collected since 2005 (2005-2011) with a total sample size of 9,000 individuals and their household members. Data collection is ongoing and is scheduled to continue at some point in the future.
2005
Post-stratification and weight corrections using age, sex, household size, household income, living situation and province.
Sample of the Labour Force Survey.
Dutch population in non-institutional households.
No age restrictions
Representative for all non-institutional households in the Netherlands.
Detailed study of:
Income, poverty, social exclusion and living conditions.
Coverage
Data has been collected since 2005 (2005-2011) with a total sample size of 9,000 individuals and their household members. Data collection is ongoing and is scheduled to continue at some point in the future.
2005
Post-stratification and weight corrections using age, sex, household size, household income, living situation and province.
Sample of the Labour Force Survey.
Dutch population in non-institutional households.
No age restrictions
Representative for all non-institutional households in the Netherlands.
Detailed study of:
Income, poverty, social exclusion and living conditions.
Linkage
Internationally harmonised study.
Linkable to other person databases through anonymised personal number.
Linkage
Internationally harmonised study.
Linkable to other person databases through anonymised personal number.
Data quality
Survey errors. Calculating confidence intervals is difficult because of the complex research design. Data are checked and corrected for validity.
International comparability is more important than longitudinal consistency; changing income definitions, especially in the beginning (2005, 2006).
Data quality
Survey errors. Calculating confidence intervals is difficult because of the complex research design. Data are checked and corrected for validity.
International comparability is more important than longitudinal consistency; changing income definitions, especially in the beginning (2005, 2006).
Data quality
Survey errors. Calculating confidence intervals is difficult because of the complex research design. Data are checked and corrected for validity.
International comparability is more important than longitudinal consistency; changing income definitions, especially in the beginning (2005, 2006).
Data quality
Survey errors. Calculating confidence intervals is difficult because of the complex research design. Data are checked and corrected for validity.
International comparability is more important than longitudinal consistency; changing income definitions, especially in the beginning (2005, 2006).
- The information about this dataset was compiled by the author:
- Frank P. Pijpers
- (see Partners)