The OECD Family database is an on-line database on family outcomes and family policies with indicators for all OECD countries. Coverage also includes EU Member States that are not OECD members. To date the database brings together 58 indicators on family structure, labor market participation, public policies and child outcomes. When possible, indicators are updated on a regular basis.

The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries and some accession countries for the period 1980-2021/23 and estimates for aggregates for 2022-24. A Social Expenditure Update can be found under www.oecd.org/en/data/datasets/social-expenditure-database-socx.htm. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of net total social spending for 2021 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database.

The OECD Income Distribution database (IDD) has been developed to benchmark and monitor countries' performance in the field of income inequality and poverty. It contains a number of standardised indicators based on the central concept of "equivalised household disposable income", i.e. the total income received by the households less the current taxes and transfers they pay, adjusted for household size with an equivalence scale. While household income is only one of the factors shaping people's economic well-being, it is also the one for which comparable data for all OECD countries are most common. Income distribution has a long-standing tradition among household-level statistics, with regular data collections going back to the 1980s (and sometimes earlier) in many OECD countries.

Achieving comparability in this field is a challenge, as national practices differ widely in terms of concepts, measures, and statistical sources. In order to maximise international comparability as well as inter-temporal consistency of data, the IDD data collection and compilation process is based on a common set of statistical conventions (e.g. on income concepts and components). The information obtained by the OECD through a network of national data providers, via a standardized questionnaire, is based on national sources that are deemed to be most representative for each country.

Small changes in estimates between years should be treated with caution as they may not be statistically significant.

Fore more details, please refer to: https://www.oecd.org/els/soc/IDD-Metadata.pdf and https://www.oecd.org/social/income-distribution-database.htm

Source data and syntax files for replication of article forthcoming in the Socius. The file 1_README.txt explains the contents and structure of the files. Includes all source datafiles with the exception of the LIS microdata. Secure access to the LIS microdata is available by submitting code through LISSY, a web-based Job Submission Interface. The folder /LIS_Jobs contains .do files to be run in LIS as well as all LIS output. data/Macro_and_Sample_Vars.dta is the final macro-level dataset. analyses.do replicates all analyses in the manuscript including the online appendix and additional tests reported in text.

The Organisation for Economic Co-operation and Development (OECD) Social and Welfare Statistics (previously Social Expenditure Database) available via the UK Data Service includes the following databases:

The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. The main social policy areas are as follows: old age, survivors, incapacity-related benefits, health, family, active labour market programmes, unemployment, housing, and other social policy areas.

The Income Distribution database contains comparable data on the distribution of household income, providing both a point of reference for judging the performance of any country and an opportunity to assess the role of common drivers as well as drivers that are country-specific. They also allow governments to draw on the experience of different countries in order to learn "what works best" in narrowing income disparities and poverty. But achieving comparability in this field is also difficult, as national practices differ widely in terms of concepts, measures, and statistical sources.

The Child Wellbeing dataset compare 21 policy-focussed measures of child well-being in six areas, chosen to cover the major aspects of children’s lives: material well being; housing and environment; education; health and safety; risk behaviours; and quality of school life.

The Better Life Index: There is more to life than the cold numbers of GDP and economic statistics. This Index allows you to compare well-being across countries, based on 11 topics the OECD has identified as essential, in the areas of material living conditions and quality of life.

The Social Expenditure data were first provided by the UK Data Service in March 2004. Topics covered by the database include:old-age cash benefitsdisability cash benefitsoccupational injury and diseasesickness benefitsservices for the elderly and disabled peoplesurvivorsfamily cash benefitsfamily servicesactive labour market programmesunemployment healthhousing benefitsother contingencies

The Organisation for Economic Co-operation and Development (OECD) Social and Welfare Statistics (previously Social Expenditure Database) available via the UK Data Service includes the following databases:

The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. The main social policy areas are as follows: old age, survivors, incapacity-related benefits, health, family, active labour market programmes, unemployment, housing, and other social policy areas.

The Income Distribution database contains comparable data on the distribution of household income, providing both a point of reference for judging the performance of any country and an opportunity to assess the role of common drivers as well as drivers that are country-specific. They also allow governments to draw on the experience of different countries in order to learn "what works best" in narrowing income disparities and poverty. But achieving comparability in this field is also difficult, as national practices differ widely in terms of concepts, measures, and statistical sources.

The Child Wellbeing dataset compare 21 policy-focussed measures of child well-being in six areas, chosen to cover the major aspects of children’s lives: material well being; housing and environment; education; health and safety; risk behaviours; and quality of school life.

The Better Life Index: There is more to life than the cold numbers of GDP and economic statistics. This Index allows you to compare well-being across countries, based on 11 topics the OECD has identified as essential, in the areas of material living conditions and quality of life.

The Social Expenditure data were first provided by the UK Data Service in March 2004.

Australia Household and NPISH: Real Disposable Income: Net data was reported at 1,352.923 AUD bn in 2026. This records an increase from the previous number of 1,313.008 AUD bn for 2025. Australia Household and NPISH: Real Disposable Income: Net data is updated yearly, averaging 500.651 AUD bn from Dec 1960 (Median) to 2026, with 67 observations. The data reached an all-time high of 1,352.923 AUD bn in 2026 and a record low of 173.689 AUD bn in 1960. Australia Household and NPISH: Real Disposable Income: Net data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Australia – Table AU.OECD.EO: Household Sector Account: Forecast: OECD Member: Annual. YDRH - Net household and non-profit institutions serving households disposable income, realNominal disposable income deflated by the implicit private consumption price

The OECD Income Distribution database (IDD) has been developed to benchmark and monitor countries' performance in the field of income inequality and poverty. It contains a number of standardised indicators based on the central concept of "equivalised household disposable income", i.e. the total income received by the households less the current taxes and transfers they pay, adjusted for household size with an equivalence scale. While household income is only one of the factors shaping people's economic well-being, it is also the one for which comparable data for all OECD countries are most common. Income distribution has a long-standing tradition among household-level statistics, with regular data collections going back to the 1980s (and sometimes earlier) in many OECD countries. Achieving comparability in this field is a challenge, as national practices differ widely in terms of concepts, measures, and statistical sources. In order to maximise international comparability as well as inter-temporal consistency of data, the IDD data collection and compilation process is based on a common set of statistical conventions (e.g. on income concepts and components). The information obtained by the OECD through a network of national data providers, via a standardized questionnaire, is based on national sources that are deemed to be most representative for each country. Small changes in estimates between years should be treated with caution as they may not be statistically significant. Fore more details, please refer to: https://www.oecd.org/els/soc/IDD-Metadata.pdf and https://www.oecd.org/social/income-distribution-database.htm

The average for 2024 based on 8 countries was 62.71 percent. The highest value was in Colombia: 73.14 percent and the lowest value was in Australia: 51.25 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

This table presents the final consumption expenditure of households broken down by where it takes place. It looks at residents’ purchases abroad and non-residents’ purchases in the domestic economy; and it presents totals for all consumption by the country’s residents (whether at home or abroad) and all consumption at home, whether by residents or non-residents.

For countries for which data on Annual household final consumption expenditure are already available according to the COICOP 2018 classification, statistics can be found in dataset: Annual household final consumption expenditure on the territory and abroad (COICOP 2018)

Data is presented for each country in national currency as well as in euros for the European Union and the euro area. The information is presented in current prices, but users can select chain linked volumes and previous year prices using the ‘Price base’ filter.

These indicators were presented in the previous dissemination system in the SNA_TABLE5 dataset.
See ANA Changes for information on changes in methodology: ANA Changes
Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
OECD statistics contact: STAT.Contact@oecd.org

Japan JP: Household and NPISH: Disposable Income: Net data was reported at 365,218.479 JPY bn in Dec 2026. This records an increase from the previous number of 363,517.238 JPY bn for Sep 2026. Japan JP: Household and NPISH: Disposable Income: Net data is updated quarterly, averaging 294,978.969 JPY bn from Mar 1960 (Median) to Dec 2026, with 268 observations. The data reached an all-time high of 365,218.479 JPY bn in Dec 2026 and a record low of 9,822.337 JPY bn in Mar 1960. Japan JP: Household and NPISH: Disposable Income: Net data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Japan – Table JP.OECD.EO: Household Sector Account: Forecast: OECD Member: Quarterly. YDH - Net household and non-profit institutions serving households disposable incomeHousehold disposable income consists essentially of income from employment and from the operation of unincorporated enterprises, plus receipts of interest, dividends and social benefits minus payments of interest, current taxes and social contributions. It also includes income from imputed rents received by owner-occupiers of dwellings. It can be measured on a gross basis, i.e. before deduction of consumption of fixed capital (CFC) or on a net basis, i.e., after the deduction of CFC.

This table presents a set of selected quarterly indicators highlighting people’s economic well-being. It includes the following indicators (or measures) for households and Non Profit Institutions Serving Households (NPISH): real gross disposable income per capita, real final consumption expenditure per capita, the gross savings rate, net cash transfers to households and NPISH, debt and net financial worth. Some other indicators that are relevant for people and households are also provided: real gross domestic product (GDP) per capita, consumer confidence, the unemployment rate and the labour underutilisation rate.

The table shows OECD countries, as well as the OECD total, G7, European Union and euro area. Data is presented on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter.

See also the visualisation tool: Households' economic well-being: the OECD dashboard

These indicators were presented in the previous dissemination system in the HHDASH dataset. The mapping table between old OECD.Stat and new OECD Data Explorer codes is available here.
See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: QNA User guide
Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
OECD statistics contact: STAT.Contact@oecd.org

Date of last data update: August 7, 2025

United States US: Total Household Expenditure: Transport: %: Total data was reported at 9.918 % in 2023. This records a decrease from the previous number of 10.400 % for 2022. United States US: Total Household Expenditure: Transport: %: Total data is updated yearly, averaging 10.606 % from Dec 1994 (Median) to 2023, with 30 observations. The data reached an all-time high of 11.962 % in 2000 and a record low of 8.371 % in 2020. United States US: Total Household Expenditure: Transport: %: Total data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Shared of Household Expenditure, Employment and Value Added in the Transport Sector: OECD Member: Annual.

Employment is generally measured through household labour force surveys and, according to the ILO Guidelines, employed persons are defined as those aged 15 or over who report that they have worked in gainful employment for at least one hour in the previous week. Self-employed persons include employers, own-account workers, members of producers co-operatives, and unpaid family workers. The last of these are unpaid in the sense that they do not have a formal contract to receive a fixed amount of income at regular intervals, but they share in the income generated by the enterprise; unpaid family workers are particularly important in farming and retail trade. Note that all persons who work in corporate enterprises, including company directors, are considered to be employees. The rates shown here are the percentages of the self-employed in total civilian employment i.e., total employment less military employees. Source URL: http://titania.sourceoecd.org/vl=2487979/cl=12/nw=1/rpsv/factbook/06-01-04.htm

Israel IL: Household and NPISH: Compensation of Employees data was reported at 959.521 ILS bn in Dec 2026. This records an increase from the previous number of 948.143 ILS bn for Sep 2026. Israel IL: Household and NPISH: Compensation of Employees data is updated quarterly, averaging 400.161 ILS bn from Mar 1995 (Median) to Dec 2026, with 128 observations. The data reached an all-time high of 959.521 ILS bn in Dec 2026 and a record low of 131.855 ILS bn in Mar 1995. Israel IL: Household and NPISH: Compensation of Employees data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Israel – Table IL.OECD.EO: Household Sector Account: Forecast: OECD Member: Quarterly. WSSS - Compensation of employees total economy Compemsation of employees In the context of the income-based GDP

The OECD Green Growth database contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The indicators have been structured around four groups to capture the main features of green growth:

• Environmental and resource productivity: indicate whether economic growth is becoming greener with more efficient use of natural capital and to capture aspects of production which are rarely quantified in economic models and accounting frameworks;
• The natural asset base: indicate the risks to growth from a declining natural asset base;
• Environmental dimension of quality of life: indicate how environmental conditions affect the quality of life and wellbeing of people;
• Economic opportunities and policy responses: indicate the effectiveness of policies in delivering green growth and describe the societal responses needed to secure business and employment opportunities.

Data source(s): The database synthesises data according to well-specified criteria, across a wide range of domains from both OECD databases and external data sources. For further details, consult the database documentation.

Dataset release date: May 2025

Contact: env.stat@oecd.org

Canada CA: Household and NPISH: Disposable Income: Net: Double Hit Scenario data was reported at 1,360.000 CAD bn in Dec 2021. This records an increase from the previous number of 1,350.000 CAD bn for Sep 2021. Canada CA: Household and NPISH: Disposable Income: Net: Double Hit Scenario data is updated quarterly, averaging 646.500 CAD bn from Mar 1981 (Median) to Dec 2021, with 164 observations. The data reached an all-time high of 1,370.000 CAD bn in Mar 2020 and a record low of 217.000 CAD bn in Mar 1981. Canada CA: Household and NPISH: Disposable Income: Net: Double Hit Scenario data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.EO: Household Sector Account: Forecast: OECD Member: Quarterly. YDH - Net household and non-profit institutions serving households disposable incomeHousehold disposable income consists essentially of income from employment and from the operation of unincorporated enterprises, plus receipts of interest, dividends and social benefits minus payments of interest, current taxes and social contributions. It also includes income from imputed rents received by owner-occupiers of dwellings. It can be measured on a gross basis, i.e. before deduction of consumption of fixed capital (CFC) or on a net basis, i.e., after the deduction of CFC.

This table presents the final consumption expenditure of households broken down by the Classification of Individual Consumption According to Purpose (COICOP). The totals are for all final consumption expenditure in the domestic economy, whether by residents or non-residents.

For countries for which data on Annual household final consumption expenditure by purpose are already available according to the COICOP 2018 classification, statistics can be found in dataset: Annual household final consumption expenditure by purpose (COICOP 2018)

The COICOP provides detailed breakdowns, so the presentation is on a country-by-country basis and users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. However, it is also possible to select a small number of expenditure categories in the ‘Expenditure’ filter to compare results for several countries.

Data is presented for each country in national currency as well as in euros for the European Union and the euro area. The information is presented in current prices, but users can select chain linked volumes and previous year prices using the ‘Price base’ filter.

These indicators were presented in the previous dissemination system in the SNA_TABLE5 dataset.
See ANA Changes for information on changes in methodology: ANA Changes
Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
OECD statistics contact: STAT.Contact@oecd.org

This table presents a set of selected quarterly indicators highlighting people’s economic well-being. It includes the following indicators (or measures) for households and Non Profit Institutions Serving Households (NPISH): real gross disposable income per capita, real final consumption expenditure per capita, the gross savings rate, net cash transfers to households and NPISH, debt and net financial worth. Some other indicators that are relevant for people and households are also provided: real gross domestic product (GDP) per capita, consumer confidence, the unemployment rate and the labour underutilisation rate.

The table shows OECD countries, as well as the OECD total, G7, European Union and euro area. Data is presented on an indicator-by-indicator basis. Users are recommended to select one indicator at a time in the ‘Measure’ filter.

See also the visualisation tool: Households' economic well-being: the OECD dashboard

These indicators were presented in the previous dissemination system in the HHDASH dataset. The mapping table between old OECD.Stat and new OECD Data Explorer codes is available here.
See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: QNA User guide
Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
OECD statistics contact: STAT.Contact@oecd.org

Date of last data update: August 7, 2025

Norway NO: Household and NPISH: Compensation of Employees Received by Households data was reported at 2,448.025 NOK bn in 2026. This records an increase from the previous number of 2,334.859 NOK bn for 2025. Norway NO: Household and NPISH: Compensation of Employees Received by Households data is updated yearly, averaging 705.522 NOK bn from Dec 1978 (Median) to 2026, with 49 observations. The data reached an all-time high of 2,448.025 NOK bn in 2026 and a record low of 128.398 NOK bn in 1978. Norway NO: Household and NPISH: Compensation of Employees Received by Households data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Norway – Table NO.OECD.EO: Household Sector Account: Forecast: OECD Member: Annual. WSSH-Compensation of employees received by households Compemsation of employees in the context of the allocation of primary income account received by the households