Swedish Contextual Database for The Swedish Generations and Gender Survey and The International Generations and Gender Programme

Creator/Principal investigator(s):

Gerda Neyer

Johan Dahlberg

Description:

The Swedish Contextual Database provides a large number of longitudinal and regional macro-level indicators primarily assembled to facilitate research on the effects of contextual factors on family and fertility behavior. It can be linked to the individual-level data of the Swedish GGS as well as to data of other surveys. It can also be used for other types of research and for teaching. The comparative data will also be integrated into the international Contextual Database of the GGP. The contextual data are available open-access through the GGP webpage: www.ggp-i.org and through the webpage of Stockholm University Demography Unit www.suda.su.se

Purpose:

The Swedish contextual database (CDB) was established to accompany the Swedish Generations and Gender Survey (GGS) and to complement the contextual database of the international Generations and Gender Programme (GGP).

Subject area:

DEMOGRAPHY (POPULATION, VITAL STATISTICS, AND CENSUSES), economic conditions and indicators, economic policy, public expenditure and revenue, compulsory and pre-school education, higher and further education, health care services and policies, employment, unemployment, retirement, elections, family life and marriage, elderly, children, social welfare policy, social welfare systems/structures, specific social services: use and availability, social conditions and indicators, social change (CESSDA Topic Classification)
Social Sciences (The Swedish standard of fields of research 2011)

Keywords:

housing, population migration, politics, taxes, economics, culture, fiscal policy, health, pensions, children, work, welfare, child care, unemployment, education, parental leave, labour (resource), demography, Geriatric Nursing, Mortality, Work, fecundity, employment policy, housing policy, Longevity, Pensions, Life Tables

Principal organisation:

Stockholm University

Accessibility status:

Access to data through SND
Data are freely accessible

Homepage:

SUDA's homepage

GGP's homepage

Download data:

The Swedish Contextual Database.zip (820.11 KB)

Responsible department/unit:

Stockholm University, Stockholm University Demography Unit (SUDA)

Creator/Principal investigator(s):

Gerda Neyer

Johan Dahlberg

Identifiers:

SND-ID: SND 1048

Description:

The Swedish Contextual Database provides a large number of longitudinal and regional macro-level indicators primarily assembled to facilitate research on the effects of contextual factors on family and fertility behavior. It can be linked to the individual-level data of the Swedish GGS as well as to data of other surveys. It can also be used for other types of research and for teaching. The comparative data will also be integrated into the international Contextual Database of the GGP. The contextual data are available open-access through the GGP webpage: www.ggp-i.org and through the webpage of Stockholm University Demography Unit www.suda.su.se

Purpose:

The Swedish contextual database (CDB) was established to accompany the Swedish Generations and Gender Survey (GGS) and to complement the contextual database of the international Generations and Gender Programme (GGP).

Time period(s) investigated:

1970-01-01 — 2017-12-31

Geographic spread:

Geographic location: Sweden

Unit of analysis:

Time Method:

Sampling procedure:

Total universe/Complete enumeration

Funding:

Bank of Sweden Tercentenary Foundation — Ref. IN15-0511:1

Subject area:

DEMOGRAPHY (POPULATION, VITAL STATISTICS, AND CENSUSES), economic conditions and indicators, economic policy, public expenditure and revenue, compulsory and pre-school education, higher and further education, health care services and policies, employment, unemployment, retirement, elections, family life and marriage, elderly, children, social welfare policy, social welfare systems/structures, specific social services: use and availability, social conditions and indicators, social change (CESSDA Topic Classification)
Social Sciences (The Swedish standard of fields of research 2011)

Keywords:

housing, population migration, politics, taxes, economics, culture, fiscal policy, health, pensions, children, work, welfare, child care, unemployment, education, parental leave, labour (resource), demography, Geriatric Nursing, Mortality, Work, fecundity, employment policy, housing policy, Longevity, Pensions, Life Tables

Related research data in SND's catalogue:

Generations and Gender Programme (GGP)

Available documentation:

CDB - Concepts and Content.pdf

CDB_Templates_v1.00.xls

CDB_Templates_v1.10.xls

GGS - Questionnaire Wave 1.pdf

The Contextual Database of the Generations and Gender Programme Concept, content, and research examples.pdf

Download metadata:

Version 1.0:

2018-07-11 doi:10.5878/jzsd-7063

Download data:

The Swedish Contextual Database.zip (820.11 KB)

Swedish Contextual Database for The Swedish Generations and Gender Survey and The International Generations and Gender Programme

Suggested citation:

Gerda Neyer, Johan Dahlberg. Stockholm University, Stockholm University Demography Unit (SUDA) (2018). Swedish Contextual Database for The Swedish Generations and Gender Survey and The International Generations and Gender Programme. Swedish National Data Service. Version 1.0. https://doi.org/10.5878/jzsd-7063

Creator/Principal investigator(s):

Gerda Neyer

Johan Dahlberg

Description:

The Swedish Contextual Data Collection is available in xls format. In addition to that, the internationally comparative data will be integrated into the Contextual Database (CDB) of the GGP in 2018. These data can be exported in other formats, as well (e.g. CSV, XML). The indicators can also be accessed in a single file in STATA or SPSS format. The data can be matched with the Swedish GGS. International regional coding schemes are also supported, such as NUTS, OECD.

Data format / data structure:

Numeric

Text

Time period(s) investigated:

1970-01-01 — 2017-12-31

Variables:

242

Published: 2018-07-11