Data Resource Profile: The European Union Statistics on Income and Living Conditions (EU-SILC).


Arora, VS; Karanikolos, M; Clair, A; Reeves, A; Stuckler, D; McKee, M; (2015) Data Resource Profile: The European Union Statistics on Income and Living Conditions (EU-SILC). International journal of epidemiology, 44 (2). pp. 451-61. ISSN 0300-5771 DOI: 10.1093/ije/dyv069

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Abstract

: Social and economic policies are inextricably linked with population health outcomes in Europe, yet few datasets are able to fully explore and compare this relationship across European countries. The European Union Statistics on Income and Living Conditions (EU-SILC) survey aims to address this gap using microdata on income, living conditions and health. EU-SILC contains both cross-sectional and longitudinal elements, with nationally representative samples of individuals 16 years and older in 28 European Union member states as well as Iceland, Norway and Switzerland. Data collection began in 2003 in Belgium, Denmark, Ireland, Greece, Luxembourg and Austria, with subsequent expansion across Europe. By 2011, all 28 EU member states, plus three others, were included in the dataset. Although EU-SILC is administered by Eurostat, the data are output-harmonized so that countries are required to collect specified data items but are free to determine sampling strategies for data collection purposes. EU-SILC covers approximately 500,000 European residents for its cross-sectional survey annually. Whereas aggregated data from EU-SILC are publicly available [http://ec.europa.eu/eurostat/web/income-and-living-conditions/data/main-tables], microdata are only available to research organizations subject to approval by Eurostat. Please refer to [http://epp.eurostat.ec.europa.eu/portal/page/portal/microdata/eu_silc] for further information regarding microdata access.<br/>

Item Type: Article
Faculty and Department: Faculty of Public Health and Policy > Dept of Health Services Research and Policy
Research Centre: ECOHOST - The Centre for Health and Social Change
PubMed ID: 25948659
Web of Science ID: 357106100010
URI: http://researchonline.lshtm.ac.uk/id/eprint/2167231

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