OECD Family Database

OECD Family Database
Name	OECD Family Database
Formed	1996
Headquarters	Paris

OECD Family Database The OECD Family Database is a comparative statistical resource produced by the Organisation for Economic Co-operation and Development to inform policy on families, children, and demographic change. It aggregates indicators on fertility, family structures, parental leave, childcare, family policies, and child well‑being across member and partner economies to support ministers, researchers, and international agencies. The Database complements international compilations produced by institutions such as the United Nations, the European Commission, the World Bank, and the International Labour Organization.

Overview

The Database compiles harmonized indicators for countries including United States, United Kingdom, Germany, France, Japan, Canada, Italy, Spain, Australia, Mexico, Brazil, South Korea, Turkey, Poland, Netherlands, Sweden, Norway, Denmark, Finland, Belgium, Switzerland, Austria, Ireland, Greece, Portugal, Czech Republic, Hungary, Slovakia, Slovenia, Estonia, Latvia, Lithuania, Luxembourg, Iceland, Israel, Chile, New Zealand, South Africa, and partner economies interacting with G20. It situates indicators alongside policy profiles from institutions such as Organisation for Economic Co-operation and Development, European Union, Council of Europe, United Nations Children's Fund, OECD Secretariat teams, and national statistical offices like Statistics Canada, Office for National Statistics, INSEE, Destatis, Istat, INEGI, INE, Statistics Sweden, Statistics Finland, Statistics Denmark, CBS (Netherlands), Statistisches Bundesamt.

History and Development

The initiative emerged in the late 1990s amid international interest sparked by reports from bodies including United Nations Population Fund, World Health Organization, International Monetary Fund, and analysis by academics at Harvard University, London School of Economics, University of Oxford, University of Cambridge, and University of California, Berkeley. Early collaborators included ministries of social affairs from France, Germany, Sweden, Japan, and Australia. Subsequent development integrated methodological frameworks from projects such as the European Social Survey, Luxembourg Income Study, Programme for the International Assessment of Adult Competencies, and the Survey of Health, Ageing and Retirement in Europe. Major updates were timed around summits like the OECD Ministerial Council Meeting and multilateral events including the G7 summit and G20 Employment Ministers' Meeting.

Data Coverage and Indicators

Indicator domains span fertility measures, household composition, marriage and divorce trends, child poverty, work–family reconciliation, parental leave entitlements, childcare provision, financial transfers, and housing indicators. Specific measures reference datasets such as the Demographic and Health Surveys, EU-SILC, Household, Income and Labour Dynamics in Australia, German Socio-Economic Panel, British Household Panel Survey, Panel Study of Income Dynamics, and Longitudinal Study of Australian Children. The Database also situates indicators within policy typologies referenced in literature by scholars at Princeton University, Stanford University, Yale University, Columbia University, and research centres like the Brookings Institution, RAND Corporation, Migration Policy Institute, Pew Research Center, and Institute for Fiscal Studies.

Methodology and Data Sources

Standardization draws on metadata and classifications from International Labour Organization, United Nations Statistical Division, Eurostat, Organisation for Economic Co-operation and Development manuals, and country submissions from national ministries such as Ministry of Health (France), Bundesministerium für Familie, Ministry of Health, Labour and Welfare (Japan), and Department of Social Services (Australia). Survey sources include household surveys, administrative records, and population registers like Scandinavian population registers used by Statistics Norway and Statistics Sweden. Work on equivalence scales, poverty thresholds, and imputation methods references economists associated with London School of Economics, University of Chicago, Massachusetts Institute of Technology, and policy work by OECD Directorate for Employment, Labour and Social Affairs.

Access and Publication Formats

The Database is published as interactive online tables, charts, downloadable CSV and Excel files, and indicator metadata sheets adapted for policy briefs and reports used by bodies such as the United Nations Development Programme, European Commission Directorate-General for Employment, Social Affairs and Inclusion, World Bank Group, and national think tanks. Outputs have been cited in publications by The Lancet, Nature Human Behaviour, Journal of European Social Policy, Population Studies, Demography, American Economic Review, and policy notes from International Monetary Fund staff.

Use and Impact

Policymakers and researchers from institutions including Ministry of Finance (France), Department for Work and Pensions (UK), Treasury (Australia), Federal Ministry of Labour and Social Affairs (Germany), Health and Social Care (Northern Ireland), United Nations Economic Commission for Europe, and academics at University of Toronto, McGill University, University of Melbourne, National University of Singapore, and Peking University have used the Database to benchmark parental leave reforms, childcare subsidies, and child poverty targets. It informed reports and recommendations presented at forums such as the OECD Forum, European Council summit, United Nations General Assembly, and expert meetings convened by UNICEF and WHO.

Criticisms and Limitations

Critiques from scholars at University College London, European University Institute, Sciences Po, Bocconi University, and policy analysts at Open Society Foundations stress limits in cross‑country comparability due to differences in legal definitions, administrative coverage, and survey timing. Other limitations noted by commentators at IZA Institute of Labor Economics and Institute for the Study of Labor include lags in timeliness, variable data quality for low‑ and middle‑income partner economies such as Brazil and South Africa, and challenges aligning register‑based and survey‑based measures. Debates involving contributors from Brookings Institution and Centre for European Policy Studies focus on measurement of unpaid care, intergenerational transfers, and the representation of migrant families.

Category:Data sources