This table provides metadata for the actual indicator available from United States statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from American statistics, this table should be consulted for information on national methodology and other American-specific metadata information.
This table provides information on metadata for SDG indicators as defined by the UN Statistical Commission. Complete global metadata is provided by the UN Statistics Division.
Indicator |
Indicator 10.2.1: Proportion of people living below 50 per cent of median income, by sex, age and persons with disabilities |
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Target |
Target 10.2: By 2030, empower and promote the social, economic and political inclusion of all, irrespective of age, sex, disability, race, ethnicity, origin, religion or economic or other status |
Organisation |
World Bank (WB) |
Definition and concepts |
Definition:The proportion of people living below 50 percent of median income (or consumption) is the share (%) of a country’s population living on less than half of the consumption/income level of the median of the national income/consumption distribution. Concepts:The indicator is measured using per capita welfare measure of consumption or income. The indicator is calculated by estimating the share of the population in a country living on less than 50% of median of the national distribution of income or consumption, as estimated from survey data. Consumption distributions typically capture household expenditure on a set of items over a given period of time. These usually include purchased, own-produced, exchanged, and gifted food and non-food items (for example clothing, housing—including imputed rent—and the use value of durable consumer goods). Income distributions capture the value of monetary inflow a household receives or earns over a given period of time. Household surveys usually provide information on labor income (salaries, own-business, and self-employment income), as well as non-labor income coming from pensions, subsidies, transfers, property income, scholarships, etc. Income distributions used here aim to measure disposable income defined as the sum of labor and non-labor income (including transfers) less taxes and contributions. The exact definition and operationalization of income aggregates varies across different data sources. Per capita income or consumption is estimated using total household income or consumption divided by the total household size. The estimation relies on the same harmonized welfare vectors (distributions) that are used for 10.1.1 and 1.1.1. Using the same data and closely related methodologies ensures internal consistency across these closely related indicators. The data is available through the Poverty and Inequality Platform (PIP), the World Bank’s online tool for reporting global poverty and inequality numbers. For details on concepts and standards, refer to documentation available on the PIP website. The methodology entails measuring the share of people living below 50% of national median. A threshold set at 50% of the median of the income or consumption is used to derive a headcount rate, similar to how monetary poverty is typically measured. The national median is readily available from the distributional data in PIP. The measurement follows a two-step process of first estimating half of the national median income (or consumption) and then the share of people living below this relative threshold. The indicator uses the same data on household income and consumption that is used for monitoring SDG indicators 1.1.1 and 10.1.1, which have been classified as Tier 1 indicators. The methodology and data are similar to that used in measuring international poverty, which has been tested and vetted over many years, including for the purpose of monitoring Millennium Development Goals (MDG) 1. It is also closely related to a large literature of relative poverty measurement. |
Unit of measure |
Percent (%) |
Data sources |
Data of income or consumption comes from nationally representative household surveys or assessments of income or consumption distributions, typically carried out and overseen by National Statistical Offices (NSOs). After some quality control and harmonization the data is available through PIP, the World Bank online tool for global poverty and inequality measurement. |
Data providers |
The World Bank typically receives data from National Statistical Offices (NSOs) directly. In other cases it uses NSO data received indirectly. For example, it receives data from Eurostat and from LIS (Luxemburg Income Study), who provide the World Bank NSO data they have received / harmonized. The Universidad Nacional de La Plata, Argentina and the World Bank jointly maintain the SEDLAC (Socio-Economic Database for Latin American and Caribbean) database that includes harmonized statistics on poverty and other distributional and social variables from 24 Latin American and Caribbean countries, based on microdata from household surveys conducted by NSOs. Data is obtained through country specific programs, including technical assistance programs and joint analytical and capacity building activities. The World Bank has relationships with NSOs on work programs involving statistical systems and data analysis. Poverty economists from the World Bank typically engage with NSOs broadly on poverty measurement and analysis as part of technical assistance activities. |
Comment and limitations |
Like for poverty rates (SDG 1.1.1) and growth in household incomes across the distribution (SDG 10.1.1), estimates are based on income or consumption data collected in household surveys, led by NSOs. Many of the same data quality issues applying to those indicators apply here, some of which are summarized below: Data is collected with great heterogeneity and ex-post harmonization will always face limitations. Similar surveys may not be strictly comparable because of differences in timing, sampling frames, or the quality and training of enumerators. Comparisons of countries at different levels of development also pose problems because of differences in the relative importance of the consumption of nonmarket goods. The local market value of all consumption in kind (including own production, particularly important in underdeveloped rural economies) should be included in total consumption expenditure, but in practice are often not. Most survey data now include valuations for consumption or income from own production, but valuation methods vary. Estimating the share of people living below 50% of the national median is less sensitive to comparability limitations than estimates of international poverty. The relative nature of the threshold (a function of the distribution median) means that it is not sensitive price differences across time and countries. Appropriately adjusting for price differences is a major challenger in absolute poverty measurement. |
Method of computation |
The indicator is measured using the national distribution per capita measure of consumption or income, as derived from surveys. The indicator is calculated by estimating the share (in percent) of the population living on less than 50% of median of the national distribution of income or consumption. The median is estimate from the same distribution as the indicator is estimated from, thus the 50% of median threshold will vary over time. Per capita income or consumption is estimated using total household income or consumption divided by the total household size. |
Metadata update |
2024-07-29 |
International organisations(s) responsible for global monitoring |
World Bank (WB) |
Related indicators |
Indicator 1.1.1: Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) Indicator 1.2.1: Proportion of population living below the national poverty line, by sex and age Indicator 10.1.1: Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total population. |
UN designated tier |
3 |