Netherlands Working Conditions Survey (NWCS)
Nationale Enquête Arbeidsomstandigheden (NEA)
Topic |
Uses of Technology
Health and Performance
Social Systems and Welfare
Work and Productivity
Education and Learning
Wellbeing
|
Relevance for this Topic |
|
Country | Netherlands |
More Topics |
Governance
Contact information
TNO Work and Employment
Department of Labour, Income and Living Conditions - Statistics Netherlands
Polarisavenue 151
2132 JJ Hoofddorp
Netherlands
Phone: TNO: 003188 866 61 00 Infoservice: 003188 570 70 70
Email: nea(at)tno.nl
Timeliness, transparency
Data is collected annually and is available 6 months after collection.Type of data
Survey
Type of Study
Longitude survey: long-term study of random or different samples
Data gathering method
Face-to-face interview (CAPI, PAPI)
PAPI, CAWI
Type of data
Survey
Type of Study
Longitude survey: long-term study of random or different samples
Data gathering method
Face-to-face interview (CAPI, PAPI)
PAPI, CAWI
Type of data
Survey
Type of Study
Longitude survey: long-term study of random or different samples
Data gathering method
Face-to-face interview (CAPI, PAPI)
PAPI, CAWI
Type of data
Survey
Type of Study
Longitude survey: long-term study of random or different samples
Data gathering method
Face-to-face interview (CAPI, PAPI)
PAPI, CAWI
Access to data
Cannot be downloaded directly.
Conditions of access
Official authorisation is required by TNO/Statistics Netherlands.
Contact data administrator (see contact information).
Anonymised microdata
SPSS (default)
There is limited English documentation available.
Access to data
Cannot be downloaded directly.
Conditions of access
Official authorisation is required by TNO/Statistics Netherlands.
Contact data administrator (see contact information).
Anonymised microdata
SPSS (default)
There is limited English documentation available.
Access to data
Cannot be downloaded directly.
Conditions of access
Official authorisation is required by TNO/Statistics Netherlands.
Contact data administrator (see contact information).
Anonymised microdata
SPSS (default)
There is limited English documentation available.
Access to data
Cannot be downloaded directly.
Conditions of access
Official authorisation is required by TNO/Statistics Netherlands.
Contact data administrator (see contact information).
Anonymised microdata
SPSS (default)
There is limited English documentation available.
Coverage
Data collection ongoing since 2005 (2005-2012) with a sample size of about 23,000 employees per year. Data collection is scheduled to continue at some point in the future.
2005
Post-stratification; weighting by sex, age, sector, country of origin, region, urbanisation (all from Polisadministratie), and education level (from Labour Force Survey).
Municipal Person Registration
Working labour force, excluding self employed
Population aged 15-64
Representative for working labour force, excluding self-employed
Detailed study of:
Work (e.g. working hours, physical and psychosocial work demands and resources, workplace violence and discrimination, terms of employment), health (e.g. general health, chronic illness, burn-out, occupational health care), skills and knowledge (e.g. education and training, skill obsolescence), work motivation (e.g. satisfaction, motivation to continue working), work ability (e.g. ability to continue working), work productivity (e.g. sickness absence, functioning at work), work-related accidents.
www.tno.nl/nea, www.monitorarbeid.nl/nea
Coverage
Data collection ongoing since 2005 (2005-2012) with a sample size of about 23,000 employees per year. Data collection is scheduled to continue at some point in the future.
2005
Post-stratification; weighting by sex, age, sector, country of origin, region, urbanisation (all from Polisadministratie), and education level (from Labour Force Survey).
Municipal Person Registration
Working labour force, excluding self employed
Population aged 15-64
Representative for working labour force, excluding self-employed
Detailed study of:
Work (e.g. working hours, physical and psychosocial work demands and resources, workplace violence and discrimination, terms of employment), health (e.g. general health, chronic illness, burn-out, occupational health care), skills and knowledge (e.g. education and training, skill obsolescence), work motivation (e.g. satisfaction, motivation to continue working), work ability (e.g. ability to continue working), work productivity (e.g. sickness absence, functioning at work), work-related accidents.
www.tno.nl/nea, www.monitorarbeid.nl/nea
Coverage
Data collection ongoing since 2005 (2005-2012) with a sample size of about 23,000 employees per year. Data collection is scheduled to continue at some point in the future.
2005
Post-stratification; weighting by sex, age, sector, country of origin, region, urbanisation (all from Polisadministratie), and education level (from Labour Force Survey).
Municipal Person Registration
Working labour force, excluding self employed
Population aged 15-64
Representative for working labour force, excluding self-employed
Detailed study of:
Work (e.g. working hours, physical and psychosocial work demands and resources, workplace violence and discrimination, terms of employment), health (e.g. general health, chronic illness, burn-out, occupational health care), skills and knowledge (e.g. education and training, skill obsolescence), work motivation (e.g. satisfaction, motivation to continue working), work ability (e.g. ability to continue working), work productivity (e.g. sickness absence, functioning at work), work-related accidents.
www.tno.nl/nea, www.monitorarbeid.nl/nea
Coverage
Data collection ongoing since 2005 (2005-2012) with a sample size of about 23,000 employees per year. Data collection is scheduled to continue at some point in the future.
2005
Post-stratification; weighting by sex, age, sector, country of origin, region, urbanisation (all from Polisadministratie), and education level (from Labour Force Survey).
Municipal Person Registration
Working labour force, excluding self employed
Population aged 15-64
Representative for working labour force, excluding self-employed
Detailed study of:
Work (e.g. working hours, physical and psychosocial work demands and resources, workplace violence and discrimination, terms of employment), health (e.g. general health, chronic illness, burn-out, occupational health care), skills and knowledge (e.g. education and training, skill obsolescence), work motivation (e.g. satisfaction, motivation to continue working), work ability (e.g. ability to continue working), work productivity (e.g. sickness absence, functioning at work), work-related accidents.
www.tno.nl/nea, www.monitorarbeid.nl/nea
Coverage
Data collection ongoing since 2005 (2005-2012) with a sample size of about 23,000 employees per year. Data collection is scheduled to continue at some point in the future.
2005
Post-stratification; weighting by sex, age, sector, country of origin, region, urbanisation (all from Polisadministratie), and education level (from Labour Force Survey).
Municipal Person Registration
Working labour force, excluding self employed
Population aged 15-64
Representative for working labour force, excluding self-employed
Detailed study of:
Work (e.g. working hours, physical and psychosocial work demands and resources, workplace violence and discrimination, terms of employment), health (e.g. general health, chronic illness, burn-out, occupational health care), skills and knowledge (e.g. education and training, skill obsolescence), work motivation (e.g. satisfaction, motivation to continue working), work ability (e.g. ability to continue working), work productivity (e.g. sickness absence, functioning at work), work-related accidents.
www.tno.nl/nea, www.monitorarbeid.nl/nea
Coverage
Data collection ongoing since 2005 (2005-2012) with a sample size of about 23,000 employees per year. Data collection is scheduled to continue at some point in the future.
2005
Post-stratification; weighting by sex, age, sector, country of origin, region, urbanisation (all from Polisadministratie), and education level (from Labour Force Survey).
Municipal Person Registration
Working labour force, excluding self employed
Population aged 15-64
Representative for working labour force, excluding self-employed
Detailed study of:
Work (e.g. working hours, physical and psychosocial work demands and resources, workplace violence and discrimination, terms of employment), health (e.g. general health, chronic illness, burn-out, occupational health care), skills and knowledge (e.g. education and training, skill obsolescence), work motivation (e.g. satisfaction, motivation to continue working), work ability (e.g. ability to continue working), work productivity (e.g. sickness absence, functioning at work), work-related accidents.
www.tno.nl/nea, www.monitorarbeid.nl/nea
Linkage
The same standardized procedures are used each year.
Linkable to other databases of Statistics Netherlands through anonymised personal number.
Linkage
The same standardized procedures are used each year.
Linkable to other databases of Statistics Netherlands through anonymised personal number.
Linkage
The same standardized procedures are used each year.
Linkable to other databases of Statistics Netherlands through anonymised personal number.
Linkage
The same standardized procedures are used each year.
Linkable to other databases of Statistics Netherlands through anonymised personal number.
Data quality
No relevant survey errors.
Methodological break in some variables due to change in questionnaire in 2007.
Concepts and classifications are consistent from 2007 onwards.
Data quality
No relevant survey errors.
Methodological break in some variables due to change in questionnaire in 2007.
Concepts and classifications are consistent from 2007 onwards.
Data quality
No relevant survey errors.
Methodological break in some variables due to change in questionnaire in 2007.
Concepts and classifications are consistent from 2007 onwards.
Data quality
No relevant survey errors.
Methodological break in some variables due to change in questionnaire in 2007.
Concepts and classifications are consistent from 2007 onwards.
Applicability
Strengths:
The survey provides detailed, high quality data that are representative of employees aged 15-64 in The Netherlands. It also provides a wide range of topics, has a large dataset, and also offers the opportunity to study trends and subgroups.
Weaknesses:
The survey provides no information about the self-employed.
Applicability
Strengths:
The survey provides detailed, high quality data that are representative of employees aged 15-64 in The Netherlands. It also provides a wide range of topics, has a large dataset, and also offers the opportunity to study trends and subgroups.
Weaknesses:
The survey provides no information about the self-employed.
Applicability
Strengths:
The survey provides detailed, high quality data that are representative of employees aged 15-64 in The Netherlands. It also provides a wide range of topics, has a large dataset, and also offers the opportunity to study trends and subgroups.
Weaknesses:
The survey provides no information about the self-employed.
Applicability
Strengths:
The survey provides detailed, high quality data that are representative of employees aged 15-64 in The Netherlands. It also provides a wide range of topics, has a large dataset, and also offers the opportunity to study trends and subgroups.
Weaknesses:
The survey provides no information about the self-employed.
Applicability
Strengths:
The survey provides detailed, high quality data that are representative of employees aged 15-64 in The Netherlands. It also provides a wide range of topics, has a large dataset, and also offers the opportunity to study trends and subgroups.
Weaknesses:
The survey provides no information about the self-employed.
Applicability
Strengths:
The survey provides detailed, high quality data that are representative of employees aged 15-64 in The Netherlands. It also provides a wide range of topics, has a large dataset, and also offers the opportunity to study trends and subgroups.
Weaknesses:
The survey provides no information about the self-employed.
- The information about this dataset was compiled by the author:
- Frank P. Pijpers
- (see Partners)