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.

Estimates of UK regional gross disposable household income (GDHI) at current prices for ITL1, ITL2 and ITL3 regions.

In 2024, the highest median amount of disposable income was among those aged 25 to 34 year-olds, at 43,552 pounds, with the highest mean income among those aged between 55 and 65.

Disposable Income per Capita: Beijing data was reported at 85,415.000 RMB in 2024. This records an increase from the previous number of 81,752.000 RMB for 2023. Disposable Income per Capita: Beijing data is updated yearly, averaging 10,398.965 RMB from Dec 1978 (Median) to 2024, with 47 observations. The data reached an all-time high of 85,415.000 RMB in 2024 and a record low of 302.078 RMB in 1978. Disposable Income per Capita: Beijing data remains active status in CEIC and is reported by Beijing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HF: Disposable Income per Capita: Prefecture Level City.

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.

In 2023, the disposable income of a household led by a Millennial in the United States was ****** U.S. dollars per year. Households led by someone born in Generation X, however, had a disposable income of around ******* U.S. dollars in 2023.

Disposable Income per Capita: Hubei: Ezhou data was reported at 36,982.000 RMB in 2023. This records an increase from the previous number of 18,774.000 RMB for 2014. Disposable Income per Capita: Hubei: Ezhou data is updated yearly, averaging 18,774.000 RMB from Dec 2013 (Median) to 2023, with 3 observations. The data reached an all-time high of 36,982.000 RMB in 2023 and a record low of 17,048.674 RMB in 2013. Disposable Income per Capita: Hubei: Ezhou data remains active status in CEIC and is reported by Ezhou Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HF: Disposable Income per Capita: Prefecture Level City.

Graph and download economic data for Households and Nonprofit Organizations; Net Worth as a Percentage of Disposable Personal Income, Level (HNONWPDPI) from Q4 1946 to Q2 2025 about disposable, net worth, nonprofit organizations, personal income, Net, percent, households, personal, income, and USA.

CN: Disposable Income per Capita: Urban: Jilin: Baicheng data was reported at 30,953.000 RMB in 2023. This records an increase from the previous number of 29,109.000 RMB for 2022. CN: Disposable Income per Capita: Urban: Jilin: Baicheng data is updated yearly, averaging 18,985.000 RMB from Dec 2002 (Median) to 2023, with 22 observations. The data reached an all-time high of 30,953.000 RMB in 2023 and a record low of 5,418.000 RMB in 2002. CN: Disposable Income per Capita: Urban: Jilin: Baicheng data remains active status in CEIC and is reported by Baicheng Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HF: Disposable Income per Capita: Prefecture Level City: Urban.

Graph and download economic data for Households and Nonprofit Organizations; Total Assets as a Percentage of Disposable Personal Income, Level (BOGZ1FL152000006Q) from Q4 1946 to Q2 2025 about disposable, nonprofit organizations, personal income, percent, households, assets, personal, income, and USA.

Annual estimates of UK regional gross disposable household income (GDHI) for local authorities by International Territorial Level (ITL) region.

Disposable Personal Income in Germany increased to 663.91 EUR Billion in the third quarter of 2025 from 656.79 EUR Billion in the second quarter of 2025. This dataset provides the latest reported value for - Germany Total Disposable Income - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Average disposable income and median income by education level of income earners

Disposable Income per Capita: Guangdong: Zhanjiang data was reported at 30,810.000 RMB in 2024. This records an increase from the previous number of 29,733.352 RMB for 2023. Disposable Income per Capita: Guangdong: Zhanjiang data is updated yearly, averaging 22,373.634 RMB from Dec 2013 (Median) to 2024, with 12 observations. The data reached an all-time high of 30,810.000 RMB in 2024 and a record low of 13,822.764 RMB in 2013. Disposable Income per Capita: Guangdong: Zhanjiang data remains active status in CEIC and is reported by Zhanjiang Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HF: Disposable Income per Capita: Prefecture Level City.

Disposable Personal Income in Australia increased to 427893 AUD Million in the second quarter of 2025 from 425287 AUD Million in the first quarter of 2025. This dataset provides - Australia Disposable Personal Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2023, the United States had the highest gross household disposable income per capita in OECD countries adjusted for purchasing power parity. Their disposable income per capita was over ****** U.S. dollars. Luxembourg followed in second with around ****** U.S. dollars, with Switzerland in third.

In September 2024, the disposable personal income in the United States increased by 0.3 percent from the previous month. The data are in current U.S. dollars, seasonally adjusted at annual rates. Disposable personal income in the United States According to the BEA, personal income is the income that is received by persons from all sources. It is calculated as the sum of wage and salary disbursements, supplements to wages and salaries, proprietors' income with inventory valuation and capital consumption adjustments, rental income of persons with capital consumption adjustment, personal dividend income, personal interest income, and personal current transfer receipts, minus contributions for government social insurance. In simple terms, disposable personal income is the total remaining income after taxes paid; it is the income available to persons for spending or saving. It is useful to economists because it measures the amount of money available for spending in a specific area. Disposable personal income is a significant indicator of an economy’s health. Personal income determines an individual’s ability to consume goods and services, i.e. personal consumption expenditure, and industries producing consumer goods and services contribute heavily to United States gross domestic product. The retail trade industry, for example, contributed 1.38 trillion chained U.S. dollars to the GDP of the United States in 2021. Total real GDP amounted to about 22.99 trillion U.S. dollars that year. The arts, entertainment, recreation, accommodation and food services industry contributed 839.6 billion U.S. dollars to the GDP in 2021. Personal income in the United States was 21.06 trillion U.S. dollars in 2021, the highest value in over ten years.

In 2024, the average annual per capita disposable income of households in China amounted to approximately 41,300 yuan. Annual per capita income in Chinese saw a significant rise over the last decades and is still rising at a high pace. During the last ten years, per capita disposable income roughly doubled in China. Income distribution in China As an emerging economy, China faces a large number of development challenges, one of the most pressing issues being income inequality. The income gap between rural and urban areas has been stirring social unrest in China and poses a serious threat to the dogma of a “harmonious society” proclaimed by the communist party. In contrast to the disposable income of urban households, which reached around 54,200 yuan in 2024, that of rural households only amounted to around 23,100 yuan. Coinciding with the urban-rural income gap, income disparities between coastal and western regions in China have become apparent. As of 2023, households in Shanghai and Beijing displayed the highest average annual income of around 84,800 and 81,900 yuan respectively, followed by Zhejiang province with 63,800 yuan. Gansu, a province located in the West of China, had the lowest average annual per capita household income in China with merely 25,000 yuan. Income inequality in China The Gini coefficient is the most commonly used measure of income inequality. For China, the official Gini coefficient also indicates the astonishing inequality of income distribution in the country. Although the Gini coefficient has dropped from its high in 2008 at 49.1 points, it still ranged at a score of 46.5 points in 2023. The United Nations have set an index value of 40 as a warning level for serious inequality in a society.

Graph and download economic data for Real Disposable Personal Income: Per Capita (A229RX0) from Jan 1959 to Aug 2025 about disposable, personal income, per capita, personal, income, real, and USA.

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.