ESS round 10 Multilevel Data
- Datasets
- Public access
Publicly available to everyone. Access may still require registration and an API key request, as long as anyone can request such registration and/or API keys.
Description
The purpose of the European Social Survey Multilevel data (ESS MD) is to make it easier for the research community to analyse the ESS respondents with reference to the context they live in. There are numerous sources containing contextual data. The ESS MD does not contain everything available. The selection of variables is based on the recommendations in the report of the ESS Upgrade and Planning Group on Contextual Data: 'Conceptual and Statistical Issues in Multilevel Analysis’.
The ESS10_MD file includes ESS10 data from the ESS10 integrated file, edition 3.2, combined with multilevel data and the ESS10SC_MD file icludes data from the ESS10 Self-completion integrated file, edition 3.1, combined with multilevel data. In addition there are five files including multilevel data on country level, NUTS1, NUTS2 and NUTS3 level as well as on the NUTS level used for each country in ESS10 (ESS10_MD_reg10). See version notes for ESS10 integrated file, edition 3.2 and ESS10 Self-completion integrated file, version 3.1 for information on these versions.
The following topics are covered by the multilevel data: • Demography: Area of the region, Median age, Old age dependency ratio, Population size, Population density, Demographic balance and crude rates. • Economy: GDP per Capita, Social expenditure, Unemployment • Education: Enrolment statistics, Number of students • Composite measures: Freedom in the World, Bertelsmann Transformation Index, Worldwide Governance Indicators, Democracy Barometer. • Political institutions: Comparative Political Data Set, Database of Political Institutions • Health: Fertility rate, Life expectancy, Infant mortality rate, Health expenditure, Health workforce, Work Bank health indicators • Crime: Corruption Perceptions Index, Crimes recorded by the police • Migration: Immigrants, Emigrants, Asylum applicants, Foreigners.
The European Social Survey (ESS) is an academically driven cross-national survey, founded in 2001. It has been administered in 40 countries to date. Its three aims are, firstly – to monitor and interpret changing public attitudes and values within Europe and to investigate how they interact with Europe's changing institutions, secondly – to advance and consolidate improved methods of cross-national survey measurement in Europe and beyond, and thirdly – to develop a series of European social indicators, including attitudinal indicators. The survey involves strict random probability sampling, high response rate and rigorous translation protocols.
All respondents from ESS round 10 are included. The following topics are covered in the ESS round 10. • Media and social trust • Politics • Subjective well-being, social exclusion, religion, national and ethnic identity • Understanding of democracy • Digital social contact in work and family life • Human values • Impact of COVID-19 • Socio-demographics
Distributions0
APIs providing this dataset1
European Social Survey API- parquet
- csv
- spss_sav
- stata_dta
- parquet
- csv
- spss_sav
- stata_dta
- Description:
API for accessing data files from the European Social Survey. The ESS API is currently in beta. It currently consists of a single endpoint, for downloading data files
- Endpoint:
- URL:
- https://api.ess.sikt.no/docs
- Description:
- Documentation:
- Not provided
Relations to other resources
| ESS Multilevel Data 2024, country, edition 1.0 | Public access | |
| ESS Multilevel Data 2024, NUTS1, edition 1.0 | Public access | |
| ESS10 Multilevel Data, edition 1.0 | Public access | |
| ESS Multilevel Data 2024, NUTS3, edition 1.0 | Public access | |
| ESS Multilevel Data 2024, region ESS10, edition 1.0 | Public access | |
| ESS Multilevel Data 2024, NUTS2, edition 1.0 | Public access | |
| ESS10 Self-completion Multilevel Data, edition 1.0 | Public access |
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Distributions0
APIs providing this dataset1
European Social Survey API- parquet
- csv
- spss_sav
- stata_dta
- parquet
- csv
- spss_sav
- stata_dta
- Description:
API for accessing data files from the European Social Survey. The ESS API is currently in beta. It currently consists of a single endpoint, for downloading data files
- Endpoint:
- URL:
- https://api.ess.sikt.no/docs
- Description:
- Documentation:
- Not provided
Contact information
- Contact point:
- Website:
- Not provided
- Email:
- essdatasupport@sikt.no
- Telephone:
- Not provided
About the data
- Language:
- English
- Content providers:
- Not provided
- Provenance:
- Not provided
- Update frequency:
- Not provided
- First issued:
This date indicates when the data in this dataset was first released. It may have happened before the dataset was published on data.norge.no.
- April 3, 2024
- Last updated:
- Not provided
- Geographical scope:
- Temporal scope:
- From:
- January 1, 1960
- To:
- January 1, 2022
- Conforms to:
Reference to an implementation rule or other specification that forms the basis for the dataset.
- Not provided
- Quality annotations:
- Not provided
Applicable legislation
Concepts used in the dataset
References
- Has part:
- ESS Multilevel Data 2024, NUTS2, edition 1.0
- Has part:
- ESS Multilevel Data 2024, region ESS10, edition 1.0
- Has part:
- ESS10 Self-completion Multilevel Data, edition 1.0
- Has part:
- ESS Multilevel Data 2024, country, edition 1.0
- Has part:
- ESS Multilevel Data 2024, NUTS3, edition 1.0
- Has part:
- ESS Multilevel Data 2024, NUTS1, edition 1.0
- Has part:
- ESS10 Multilevel Data, edition 1.0
- Related resources:
Fees
About this dataset
- Publisher:
- Sikt - kunnskapssektorens tjenesteleverandør
- Published:
This date indicates when the dataset was harvested by data.norge.no. It may have been available earlier elsewhere.
- February 4, 2026
- Last updated:
- March 13, 2026
- Landing page:
- https://ess.sikt.no/en/study/58f17c32-5096-4541-9e93-c974e3647c75/
- Documentation:
- Not provided
- Dataset type:
- Not provided
- Metadata Quality:
Metadata quality is an indicator of how well the datasets are described using metadata.
- Sufficient (28%)
- URI:
Themes
Keywords
Discussions on Datalandsbyen0
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