-
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.
-
The database "How’s Life? Well-being" is the one-stop shop for the 80+ indicators of the OECD Well-being Dashboard, providing information on current well-being outcomes, well-being inequalities and the resources and risks that underpin future well-being. The 11 dimensions of current well-being relate to material conditions that shape people’s economic options (income and wealth, housing, work and job quality) and quality-of-life factors that encompass how well people are (and how well they feel they are), what they know and can do, and how healthy and safe their places of living are (health, knowledge and skills, environmental quality, subjective well-being, safety). Quality of life also encompasses how connected and engaged people are, and how and with whom they spend their time (work-life balance, social connections, civic engagement). The distribution of current well-being is taken into account by looking at three types of inequality: gaps between population groups (horizontal inequalities); gaps between those at the top and those at the bottom of the achievement scale in each dimension (vertical inequalities); and deprivations (i.e. the share of the population falling below a given threshold of achievement). The systemic resources that underpin future well-being over time are expressed in terms of four types of capital: Economic, Natural, Human and Social.
-
-
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 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.
-
The OECD Family Indicators database was developed to provide cross-national indicators on family outcomes and family policies across the OECD countries, its enhanced engagement partners and EU member states. The database brings together information from various national and international databases, both from within the OECD and from external organisations.
The database classifies indicators into four main dimensions:
(i) structure of families,
(ii) labour market position of families, and
(iii) public policies for families and children
(iv) child outcomes
-
The Pensions at a Glance database includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers 34 OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.
-
-
-
Time-use surveys are the primary statistical vehicle for recording information on how people precisely allocate their time across different day-to-day activities. Typically, a large number of people keep a diary of activities over one or several representative days for a given period. Respondents describe their activities in their own words in a time diary and these are then re-coded by national statistical agencies into a set of descriptive categories. A well-designed survey classifies activities across a total duration of 24 hours (or 1 440 minutes) per day. Interest in time-use studies has grown considerably over the last 30 years and an increasing number of national statistical agencies have been conducting large-scale time-use surveys
-
OECD Social and Welfare Statistics
- Fait suite à :
- OECD Social Expenditure Statistics
Formerly titled the OECD Social Expenditure Database (SOCX), this includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level, covering old age, survivors, and incapacity-related benefits; health, family, and active labor market programmes; and unemployment, housing, GINI, poverty, income inequality, and other social policy areas.
Egalement disponible en : Français
Mots-clés: income, benefits, social expenditures, pension, taxes
- ISSN : 22273107 (en ligne)
- https://doi.org/10.1787/socwel-data-en
Présenté sur cette page