This dataset shows the income of jobless families relying on minimum-income safety-net benefits as a percentage of the median disposable income in the population. This can be compared with a poverty line defined as a fixed percentage of median income. For instance, if the poverty threshold is 50% of median income, a value of 30% means that benefit entitlements alleviate poverty risks of 60%. Data are presented from 2001 onwards.

This dataset shows the proportion of earnings that are lost to either higher taxes or lower benefit entitlements when a jobless person takes up employment. It is commonly referred to as "Participation Tax Rate (PTR)" as it measures financial disincentives to participate in the labour market. Data are presented from 2001 onwards.

This dataset shows the proportion of earnings that are lost to either higher taxes, lower benefits or childcare costs when a parent with young children takes up full-time employment and uses centre-based childcare services. Data are presented from 2004 onwards.

This dataset shows the fraction of any additional earnings that is lost to either higher taxes or lower benefits when an employed person increases their working hours. Data are presented from 2001 onwards.

This dataset shows the working hours needed to exit poverty for a jobless family claiming Guaranteed Minimum Income benefits. Data are presented from 2001 onwards.

This dataset shows the net costs paid by parents for full-time centre-based childcare, after any benefits designed to reduce the gross childcare fees. Childcare benefits can be received in the form of childcare allowances, tax concessions, fee rebates and increases in other benefit entitlements. Data are presented from 2004 onwards.

Net replacement rates in unemployment measure the proportion of previous in-work income that is maintained after several months of unemployment. Data are presented from 2001 onwards.

There is more to life than the cold numbers of GDP and economic statistics. This dataset contains the 2018 data of the Better Life Index which allows you to compare well-being across countries as well as measuring well-being, based on 11 topics the OECD has identified as essential, in the areas of material living conditions and quality of life.

Comparable data on the distribution of household income provide 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, inequality and poverty. But achieving comparability in this field is also difficult, as national practices differ widely in terms of concepts (inequality), measures (GINI), and statistical sources. This database includes GINI and income inequality data; it replaces the datasets "Income distribution: inequality" (http://dx.doi.org/10.1787/data-00199-en) and "Income distribution: poverty" (http://dx.doi.org/10.1787/data-00200-en).

The Aggregated dataset is a subset of the OECD Social Expenditure Database (SOCX) database, has been developed in order to serve a growing need for indicators of social protection and social policy. It includes reliable and internationally comparable aggregate statistics on public and mandatory and voluntary private social expenditure. It 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. Those social policies area can be further divided by type of expenditure (cash benefits, benefits in kind), type of programme (active labour market programme, incapacity related, etc.) and source (voluntary private, public, etc.). Data are expressed in various units of measure and are presented from 1980 onwards.

The Detailed data dataset is a subset of the OECD Social Expenditure Database (SOCX) database, has been developed in order to serve a growing need for indicators of social policy. It includes extensive reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure. It 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 labor market programmes, unemployment, housing, and other social policy areas. The data is presented by country with the name of programme as a core variable. Data are expressed in current prices in national currency in millions terms and are presented from 1980 onwards.

The Reference Series is a subset of the OECD Social Expenditure Database (SOCX) database, has been developed in order to serve a growing need for indicators of social policy.It provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition while including estimates of the net total social spending for 2007 for the 27 OECD countries. Data is divided per country with core variables such as GDP in million terms, Gross National Income, PPP, exchange rates, total general government expenditure and more. Data are presented from 1980 onwards.

The Wealth distribution database provides data that refer to the distribution of real and financial assets and liabilities across households (rather than across persons or adults), with no adjustment made to reflect differences in household size (which is the convention used by the OECD when analysing the distribution of household income). The data also refer to the assets and liabilities held by private households resident in the country. Information is collected on net household wealth broken down by housing status, age of the household head, number of household members, household type, education of the household head, main source of income, and wealth and income quintiles. Information is also collected on the share of households holding various types of assets and liabilities; on the mean value of assets and liabilities for households holding them; on the joint distribution of household wealth and income across household quintiles.