Disposable Personal Income in the United States increased to 23033.50 USD Billion in August from 22947.50 USD Billion in July of 2025. This dataset provides - United States Disposable Personal Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

This dataset presents a comprehensive overview of household and per-capita income and expenditure patterns in various demographic, geographic, and socioeconomic contexts. It encompasses three main categories:Disposable IncomeConsumption ExpenditureFinal Monetary Consumption ExpenditureWithin each category, indicators detail averages, medians, and percentages across dimensions such as administrative region, nationality of the household head, age group, educational level, marital status, type of dwelling, type of ownership, household size, and income sources. The dataset thus enables in-depth analysis of how different factors influence income and expenditure.esearchers, policymakers, and analysts can employ these indicators to:Understand how household and per-capita incomes vary by social and economic factors.Examine consumption patterns and their drivers, including demographic variables.Analyze the final monetary consumption expenditure in more detail using COICOP divisions for targeted economic and social policy insights.In doing so, users can identify disparities, assess living standards, and formulate data-driven strategies to address economic and social challenges at both the household and regional levels.Notes:For the first time the methodology for calculating household disposable income and consumption expenditure is used in Household Income and Consumption Expenditure Survey of 2023

Income, consumption and wealth (ICW) statistics are experimental statistics computed by Eurostat through the statistical matching of three data sources: the EU Statistics on Income and Living Conditions (EU-SILC), the Household Budget Survey (HBS) and the Household Finance and Consumption Survey (HFCS). These statistics enable us to observe at the same time the income that households receive, their expenditures and their accumulated wealth.

The annual collection of EU-SILC was launched in 2003 and is governed by Regulation 1700/2019 (previously: Regulation 1177/2003) of the European Parliament and of the Council. The EU-SILC collects cross-sectional and longitudinal information on income. HBS is a survey conducted every 5 years on the basis of an agreement between Eurostat, the Member States and EFTA countries. Data are collected using national questionnaires and, in most cases, expenditure diaries that respondents are asked to keep over a certain period of time. HFCS collects information on assets, liabilities, and to a limited extent income and consumption, of households. The survey is run by National Central Banks and coordinated by the European Central Bank.

This page focuses on the main issues of importance for the use and interpretation of ICW statistics. Information on the primary data sources can be found on the respective EU-SILC and HBS metadata pages and following the links provided in the sections 'related metadata' and 'annexes' below.

Experimental ICW statistics cover six topics: household economic resources, affordability of essential services, saving rates, poverty, household characteristics and taxation. Each topic contains several indicators with a number of different breakdowns, mainly by income quantile, by the age group of the household reference person, by household type, by the educational attainment level of the reference person, by the activity status of the reference person and by the degree of urbanization of the household. The indicators provide information on the joint distribution of income, consumption and wealth and the links between these three economic dimensions. They help to describe households' economic vulnerability and material well-being. They also help to explain the dynamics of wealth inequalities.

All indicators are to be understood to describe households, not persons. Breakdowns by age group, educational attainment level and activity status refer to the household reference person, which is the person with the highest income. The only exception are the tables icw_pov_01, icw_pov_10, icw_pov_11 and icw_pov_12 for which the income, consumption and wealth of households have been equivalised such that equal shares were attributed to each household member. Values in tables icw_aff are calculated for households reporting non-zero values only.

Note on table icw _res_01 and icw_res_02: The indicator “Households” [HH] in icw_res_01 shows the share of households in the selection, which hold the corresponding shares of total disposable income [INC_DISP], consumption expenditure [EXPN_CONS] and net wealth [WLTH_NET] of the entire population. In theory, turning two of the three dimensions [quant_inc, quant_expn, quant_wlth] to TOTAL and the third one to any quintile, should result into a share of 20% of households. Nevertheless, this share is often below or above 20% of the total population of households in the country. The reason for this is that our figures are based on sample surveys. This means that the share of households corresponds indeed to 20% of households in the sample, however when we multiply each household of the sample with its sampling weight, the resulting shares of households in the total population differ from the 20%. If, for example, we disregard the income and wealth of households in our sample, the first consumption quintile contains the 20% of households with lowest consumption in the sample. However, multiplying this selection of households with their corresponding sampling weights may result into a different share of the total population. The “Households” [HH] indicator indicates the real share of households in the population that make up the theoretical quintile.

The European Union Statistics on Income and Living Conditions (EU-SILC) collects timely and comparable multidimensional microdata on income, poverty, social exclusion and living conditions.

The EU-SILC collection is a key instrument for providing information required by the European Semester (_[1]) and the European Pillar of Social Rights, and the main source of data for microsimulation purposes and flash estimates of income distribution and poverty rates.

AROPE remains crucial to monitor European social policies, especially to monitor the EU 2030 target on poverty and social exclusion. For more information, please consult EU social indicators.

The EU-SILC instrument provides two types of data:

• Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions.
• Longitudinal data pertaining to individual-level changes over time, observed periodically over four‐or more year rotation scheme (Annex III (2) of 2019/1700).

EU-SILC collects:

• annual variables,
• three-yearly modules,
• six-yearly modules,
• ad-hoc new policy needs modules,
• optional variables.

The variables collected are grouped by topic and detailed topic and transmitted to Eurostat in four main files (D-File, H-File, R-File and P-file).

The domain ‘Income and Living Conditions’ covers the following topics: persons at risk of poverty or social exclusion, income inequality, income distribution and monetary poverty, living conditions, material deprivation, and EU-SILC ad-hoc modules, which are structured into collections of indicators on specific topics.

In 2023, in addition to annual data, in EU-SILC were collected: the three yearly module on labour market and housing, the six yearly module on intergenerational transmission of advantages and disadvantages, housing difficulties, and the ad hoc subject on households energy efficiency.

Starting from 2021 onwards, the EU quality reports use the structure of the Single Integrated Metadata Structure (SIMS).

_{([1]) The European Semester is the European Union’s framework for the coordination and surveillance of economic and social policies.}

Graph and download economic data for Real Disposable Personal Income (DSPIC96) from Jan 1959 to Aug 2025 about disposable, personal income, personal, income, real, and USA.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

Disposable Personal Income in India increased to 296383300 INR Million in 2023 from 273364818.90 INR Million in 2022. This dataset provides - India Total Disposable Personal Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Disposable Personal Income in China increased to 54188 CNY in 2024 from 51821 CNY in 2023. This dataset provides - China Disposable Income per Capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Content

A dataset of counties that are representative for Germany with regard to

the average disposable income,

the quota of divorces,

the respective quotas of employees working in the services (excluding logistics, security, and cleaning) and the MINT sectors,

the proportions of age groups in the total proportion of the respective population, with age groups in five-year strata for the population aged between 30 and 65 and the population in the age range between 65 and 75 each considered separately for the calculation of representativeness.

In addition, data from the four big cities Berlin, München (Munich), Hamburg, and Köln (Cologne) were collected and reflected in the dataset.

The dataset is based on the most recent data available at the time of the creation of the dataset, mainly deriving from 2022, as set out in detail in the readme.md file.

Method applied

The selection of the representative counties, as reflected in the dataset, was performed on the basis of official statistics with the aim of obtaining a confidence rate of 95%. The selection was based on a principal component analysis of the statistical data available for Germany and the addition of the regions with the lowest population density and the highest and lowest per capita disposable income. A check of the representativity of the selected counties was performed.

In the case of Leipzig, the city and the district had to be treated together, in deviation from the official territorial division, with respect to a specific use case of the data.

This dataset accompanies the tables ‘Household income and saving in the National Accounts: distributions by income quintile’ and ‘Household consumption in the National Accounts: distributions by income quintile’ and presents the number of households, individuals, and consumption units per equivalised disposable income quintile, as well as the sociodemographic characteristics of the households and the individuals in these households in each of the income quintiles.

   The following socio-demographic breakdowns are shown in the table: the number of households in each quintile by household type and home ownership status; and the number of individuals belonging to the households in each quintile by age, sex, labour market status and education level. <br><br>

   In this table, households are grouped into income quintiles on the basis of their equivalised disposable income, ranked from lowest to highest, i.e., the first quintile represents the 20% households with the lowest equivalised disposable income and the fifth quintile the 20% households with the highest. Equivalisation means that results for each household have been recalculated on the basis of its consumption needs, in order to produce comparable results across households of different size and composition. <br><br>

   Results are presented in national currency and as averages per household and per consumption unit (you can choose these from the ‘Unit of measure’ filter). Results per consumption unit are obtained by dividing each household’s result by the number of consumption units, reflecting its consumption needs, for example by applying the standard OECD-modified equivalence scale, counting the first adult as 1, any additional people aged 14 and over as 0.5 and all children under 14 as 0.3.<br><br>

   The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. Users are recommended to select one country at a time to obtain a comprehensive overview of the distributional results for that country for a given period of time. Alternatively, you may select a specific item from one of the socio-demographic breakdowns filters to make cross-country comparisons. <br><br>


   For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>.

Average earnings, by age group and highest level of education, from the 2016 Census of Population.

The Households Below Average Income (HBAI) data presents information on living standards in the UK based on household income measures for the financial year.

HBAI uses equivalised disposable household income as a proxy for living standards in order to allow comparisons of the living standards of different types of households (that is, income is adjusted to take into account variations in the size and composition of the households in a process known as equivalisation). A key assumption made in HBAI is that all individuals in the household benefit equally from the combined income of the household. This enables the total equivalised income of the household to be used as a proxy for the standard of living of each household member.

In line with international best practice, the income measures used in HBAI are subject to several statistical adjustments and, as such, are not always directly relatable to income amounts as they might be understood by people on a day-to-day basis. These adjustments, however, allow consistent comparison over time and across households of different sizes and compositions. HBAI uses variants of CPI inflation when estimating how incomes are changing in real terms over time.

The main data source used in this study is the Family Resources Survey (FRS), a continuous cross-sectional survey. The FRS normally has a sample of 19,000 - 20,000 UK households. The use of survey data means that HBAI estimates are subject to uncertainty, which can affect how changes should be interpreted, especially in the short term. Analysis of geographies below the regional level is not recommended from this data.

Further information and the latest publication can be found on the gov.uk HBAI webpage. The HBAI team want to provide user-friendly datasets and clearer documentation, so please contact team.hbai@dwp.gov.uk if you have any suggestions or feedback on the new harmonised datasets and documentation.

An earlier HBAI study, Institute for Fiscal Studies Households Below Average Income Dataset, 1961-1991, is held under SN 3300.

Latest Edition Information

For the 19th edition (April 2025), resamples data have been added to the study alongside supporting documentation. Main data back to 1994/95 have been updated to latest-year prices, and the documentation has been updated accordingly.

Using the HBAI files

Users should note that either 7-Zip or a recent version of WinZip is needed to unzip the HBAI download zip files, due to their size. The inbuilt Windows compression software will not handle them correctly.

Labelling of variables
Users should note that many variables across the resamples files do not include full variable or value labels. This information can be found easily in the documentation - see the Harmonised Data Variables Guide.

HBAI versions

The HBAI datasets are available in two versions at the UKDS:

1. End User Licence (EUL) (Anonymised) Datasets:

These datasets contain no names, addresses, telephone numbers, bank account details, NINOs or any personal details that can be considered disclosive under the terms of the ONS Disclosure Control guidance. Changes made to the datasets are as follows:

• All ages above 80 are instead top-coded to 80 years of age.
• The variable for the amount of Council Tax liability for the household and pensioner flags for the head and spouse have been removed.
• All amount variables have been rounded to the nearest £1.
• A very small number of large households (with 10 or more individuals) have been removed from the dataset.

2. Secure Access Datasets:

Secure Access datasets for HBAI are held under SN 7196. The Secure Access data are not subject to the same edits as the EUL version and are, therefore, more disclosive and subject to strict access conditions. They are currently only available to UK HE/FE applicants. Prospective users of the Secure Access version of the HBAI must fulfil additional requirements beyond those associated with the EUL datasets.

This dataset accompanies the tables ‘Household income and saving in the National Accounts: distributions by income quintile’ and ‘Household consumption in the National Accounts: distributions by income quintile’ and presents the number of households in each quintile broken down by household type.

   Households are grouped into income quintiles on the basis of their equivalised disposable income, ranked from lowest to highest, i.e., the first quintile represents the 20% households with the lowest equivalised disposable income and the fifth quintile the 20% households with the highest. Equivalisation means that results for each household have been recalculated on the basis of its consumption needs, in order to produce comparable results across households of different size and composition. <br><br>

   Households are grouped on the basis of their composition, taking into account the presence, number and age of the members of the household. Eight categories are shown: a) single person (adult) less than 65 years old, b) single adult aged 65 and older, c) single adult with children living at home, d) a couple (two adults) where both are less than 65 years old without children living at home, e) two adults where at least one is aged 65 or older without children living at home, f) two adults with fewer than 3 children living at home, g) two adults with at least 3 children living at home, and h) others. In this classification, an adult is defined as anyone who is 18 years old or older.<br><br>

   The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. <br><br>

   For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>.

South Korea Median: HPL: More Than 60: RI: Disposable Income data was reported at 30,990.000 KRW th in 2018. This records an increase from the previous number of 29,940.000 KRW th for 2017. South Korea Median: HPL: More Than 60: RI: Disposable Income data is updated yearly, averaging 30,465.000 KRW th from Mar 2017 (Median) to 2018, with 2 observations. The data reached an all-time high of 30,990.000 KRW th in 2018 and a record low of 29,940.000 KRW th in 2017. South Korea Median: HPL: More Than 60: RI: Disposable Income data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.H078: 2017 SHFLC: Household Assets, Liabilities & Income: By Age Groups of Households Head (10Age).

Full edition for public use. National Transfer Accounts measure income by age and gender, its redistribution between age group and genders, and the use of disposable income for consumption and saving. The data set consists of age and gender-specific averages of income, public and private transfers, consumption and saving. The combination of public and private intergenerational transfers considering also unpaid work provides a comprehensive overview of the organisation of the generational economy in Austria 2015.

South Korea Average: HPL: More Than 60: RI: Disposable Income data was reported at 40,850.000 KRW th in 2018. This records an increase from the previous number of 39,950.000 KRW th for 2017. South Korea Average: HPL: More Than 60: RI: Disposable Income data is updated yearly, averaging 40,400.000 KRW th from Mar 2017 (Median) to 2018, with 2 observations. The data reached an all-time high of 40,850.000 KRW th in 2018 and a record low of 39,950.000 KRW th in 2017. South Korea Average: HPL: More Than 60: RI: Disposable Income data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.H078: 2017 SHFLC: Household Assets, Liabilities & Income: By Age Groups of Households Head (10Age).

Disposable Personal Income in Canada increased to 1773656 CAD Million in the second quarter of 2025 from 1768072 CAD Million in the first quarter of 2025. This dataset provides - Canada Disposable Personal Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This indicator corresponds to the sum of persons who are: at risk of poverty after social transfers, severely materially deprived or living in households with very low work intensity. Persons are counted only once even if they are affected by more than one of these phenomena. • Persons are considered to be at risk of poverty after social transfers, if they have an equivalised disposable income below the risk-of-poverty threshold, which is set at 60 % of the national median equivalised disposable income. • Severely materially or socially deprived persons have living conditions severely constrained by a lack of resources, they experience at least 7 out of 13 following deprivations items: cannot afford i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, vi) have access to a car/van for personal use; vii) replace worn out furniture; viii) replace worn-out clothes with some new ones; ix) have two pairs of properly fitting shoes; x) spend a small amount of money each week on him/herself (“pocket money”); xi) have regular leisure activities; xii) get together with friends/family for a drink/meal at least once a month; and xiii) have an internet connection. • People living in households with very low work intensity are those aged 0-64 living in households where the adults (aged 18-64) work 20 % or less of their total work potential during the past year. In order to measure child poverty, the indicator is available for the age group 0-17.