This statistic shows the median household income in the United States from 1970 to 2020, by income tier. In 2020, the median household income for the middle class stood at 90,131 U.S. dollars, which was approximately a 50 percent increase from 1970. However, the median income of upper income households in the U.S. increased by almost 70 percent compared to 1970.

This statistic shows the percentage of the U.S. adult population that belong to the middle class from 1971 to 2015, by gender and marital status. In 2015, about 41 percent of unmarried women with children in their household were part of the U.S. middle class.

This study defined middle class income households as those with an income between 67 and 200 percent of the U.S. median household income, after adjustment for household size. Middle class income ranges from about 42,000 U.S. dollars to about 126,000 U.S. dollars per year for a three-person household.

The Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies.This dataset presents data for a variety of industry-specific topics for establishments of firms with payroll. Presentation of data varies by kind of business.

This statistic shows the percentage of the U.S. adult population that belong to the middle class from 1971 to 2015, by age. In 2015, about 50 percent of U.S. adult residents were part of the middle class.

This study defined middle class income households as those with an income between 67 and 200 percent of the U.S. median household income, after adjustment for household size. Middle class income ranges from about 42,000 U.S. dollars to about 126,000 U.S. dollars per year for a three-person household.

Graph and download economic data for Median Personal Income in the United States (MEPAINUSA646N) from 1974 to 2023 about personal income, personal, median, income, and USA.

United States US: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Latin America & The Caribbean data was reported at 17.755 % in 2016. This records an increase from the previous number of 17.642 % for 2015. United States US: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Latin America & The Caribbean data is updated yearly, averaging 14.701 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 23.170 % in 1960 and a record low of 10.495 % in 1986. United States US: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Latin America & The Caribbean data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Imports. Merchandise imports from low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Latin America and the Caribbean region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Graph and download economic data for Real Median Family Income in the United States (MEFAINUSA672N) from 1953 to 2023 about family, median, income, real, and USA.

This dataset contains replication files for "The Fading American Dream: Trends in Absolute Income Mobility Since 1940" by Raj Chetty, David Grusky, Maximilian Hell, Nathaniel Hendren, Robert Manduca, and Jimmy Narang. For more information, see https://opportunityinsights.org/paper/the-fading-american-dream/. A summary of the related publication follows. One of the defining features of the “American Dream” is the ideal that children have a higher standard of living than their parents. We assess whether the U.S. is living up to this ideal by estimating rates of “absolute income mobility” – the fraction of children who earn more than their parents – since 1940. We measure absolute mobility by comparing children’s household incomes at age 30 (adjusted for inflation using the Consumer Price Index) with their parents’ household incomes at age 30. We find that rates of absolute mobility have fallen from approximately 90% for children born in 1940 to 50% for children born in the 1980s. Absolute income mobility has fallen across the entire income distribution, with the largest declines for families in the middle class. These findings are unaffected by using alternative price indices to adjust for inflation, accounting for taxes and transfers, measuring income at later ages, and adjusting for changes in household size. Absolute mobility fell in all 50 states, although the rate of decline varied, with the largest declines concentrated in states in the industrial Midwest, such as Michigan and Illinois. The decline in absolute mobility is especially steep – from 95% for children born in 1940 to 41% for children born in 1984 – when we compare the sons’ earnings to their fathers’ earnings. Why have rates of upward income mobility fallen so sharply over the past half-century? There have been two important trends that have affected the incomes of children born in the 1980s relative to those born in the 1940s and 1950s: lower Gross Domestic Product (GDP) growth rates and greater inequality in the distribution of growth. We find that most of the decline in absolute mobility is driven by the more unequal distribution of economic growth rather than the slowdown in aggregate growth rates. When we simulate an economy that restores GDP growth to the levels experienced in the 1940s and 1950s but distributes that growth across income groups as it is distributed today, absolute mobility only increases to 62%. In contrast, maintaining GDP at its current level but distributing it more broadly across income groups – at it was distributed for children born in the 1940s – would increase absolute mobility to 80%, thereby reversing more than two-thirds of the decline in absolute mobility. These findings show that higher growth rates alone are insufficient to restore absolute mobility to the levels experienced in mid-century America. Under the current distribution of GDP, we would need real GDP growth rates above 6% per year to return to rates of absolute mobility in the 1940s. Intuitively, because a large fraction of GDP goes to a small fraction of high-income households today, higher GDP growth does not substantially increase the number of children who earn more than their parents. Of course, this does not mean that GDP growth does not matter: changing the distribution of growth naturally has smaller effects on absolute mobility when there is very little growth to be distributed. The key point is that increasing absolute mobility substantially would require more broad-based economic growth. We conclude that absolute mobility has declined sharply in America over the past half-century primarily because of the growth in inequality. If one wants to revive the “American Dream” of high rates of absolute mobility, one must have an interest in growth that is shared more broadly across the income distribution.

This is a historical measure for Strategic Direction 2023. For more data on Austin demographics please visit austintexas.gov/demographics. The purpose of this dataset is to track the distribution of aggregate city income between the 5 quintile of population segments. The dataset comes from the 2019 U.S. Census Bureau, American Communities Survey (5yr) Table B19082. The row levels contain total percentage of income shares by the middle 3 quintiles (20-80%) of population. This data can be used to provide insights into growth/decline of middle class. Distribution of household income (Note: This indicator can provide insights into growth/decline of middle class) View more details and insights related to this measure on the story page: https://data.austintexas.gov/stories/s/Distribution-of-Household-Income/i3a3-vjnc/

This statistic shows the average size of U.S. farms from 2019 to 2024, sorted by economic sales class. In 2024, farms belonging to the sales class between 100,000 to 249,999 U.S. dollars had an average size of 799 acres of land.

United States US: Income Share Held by Highest 10% data was reported at 30.600 % in 2016. This records an increase from the previous number of 30.100 % for 2013. United States US: Income Share Held by Highest 10% data is updated yearly, averaging 30.100 % from Dec 1979 (Median) to 2016, with 11 observations. The data reached an all-time high of 30.600 % in 2016 and a record low of 25.300 % in 1979. United States US: Income Share Held by Highest 10% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Personal Income in the United States decreased 0.40 percent in May of 2025 over the previous month. This dataset provides the latest reported value for - United States Personal Income - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

1) Data Introduction • The Income Classification dataset provides data extracted from the U.S. Census Bureau database, aimed at predicting whether an individual's income exceeds $50,000 per year. This dataset is commonly known as the "Adult" dataset and includes features such as age, work class, education, marital status, occupation, race, gender, native-country, and others.

2) Data Utilization (1) Income data has characteristics that: • It includes both continuous and categorical data, enabling various types of analysis to understand the economic demographics of the U.S. • The dataset is often used in predictive modeling to forecast income levels based on demographic and employment information. (2) Income data can be used to: • Economic Research: Analysts use this dataset to study income distribution and the factors affecting economic disparities. • Policy Making: Helps policymakers design more effective social welfare programs targeting low-income families.

By 2030, the middle-class population in Asia-Pacific is expected to increase from 1.38 billion people in 2015 to 3.49 billion people. In comparison, the middle-class population of sub-Saharan Africa is expected to increase from 114 million in 2015 to 212 million in 2030.

Worldwide wealth

While the middle-class has been on the rise, there is still a huge disparity in global wealth and income. The United States had the highest number of individuals belonging to the top one percent of wealth holders, and the value of global wealth is only expected to increase over the coming years. Around 57 percent of the world’s population had assets valued at less than 10,000 U.S. dollars; while less than one percent had assets of more than million U.S. dollars. Asia had the highest percentage of investable assets in the world in 2018, whereas Oceania had the highest percent of non-investable assets.

The middle-class

The middle class is the group of people whose income falls in the middle of the scale. China accounted for over half of the global population for middle-class wealth in 2017. In the United States, the debate about the middle class “disappearing” has been a popular topic due to the increase in wealth to the top billionaires in the nation. Due to this, there have been arguments to increase taxes on the rich to help support the middle-class.

GDP per capita (constant 2015 US$) in Low & middle income was reported at 5265 USD in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Low & middle income - GDP per capita (constant 2000 US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

United States US: Income Share Held by Highest 20% data was reported at 46.900 % in 2016. This records an increase from the previous number of 46.400 % for 2013. United States US: Income Share Held by Highest 20% data is updated yearly, averaging 46.000 % from Dec 1979 (Median) to 2016, with 11 observations. The data reached an all-time high of 46.900 % in 2016 and a record low of 41.200 % in 1979. United States US: Income Share Held by Highest 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Key information about US Household Income per Capita

• United States Annual Household Income per Capita reached 40,722.000 USD in Dec 2023, compared with the previous value of 39,167.917 USD in Dec 2022.
• US Annual Household Income per Capita data is updated yearly, available from Dec 1984 to Dec 2023, with an averaged value of 21,116.200 USD.
• The data reached an all-time high of 40,722.000 USD in Dec 2023 and a record low of 9,024.615 USD in Dec 1984.
• In the latest reports, Retail Sales of US grew 0.967 % YoY in May 2023.

Graph and download economic data for Net Revenue from Railway Operations, Class I Railroads for United States (M09026USM144NNBR) from Jul 1907 to Dec 1961 about railroad, Net, income, and USA.

Judgement on economic and social conditions in the USA in comparison to the FRG.

Topics: Development of personal economic conditions and the standard of living in the FRG; reasons for the so-called economic miracle and share of the USA in the economic recovery; perceived linking of German economic development with other countries; attitude to a European Common Market; reasons for the high American standard of living; comparison between the USA and the FRG regarding working conditions, productivity, social security and job security of workers; image of Americans; knowledge of economic data of the USA; investment inclination; attitude to the competitive economy; assumed ownership of various branches of the economy in the FRG and in the USA, differences according to government and private; expected influence of the American government on the economy and vice versa; estimated proportion of members of the middle classes; image of American agriculture; judgement on the ideological influence of the USA on the FRG; sources of information about America; membership in clubs and organizations and offices taken on; party preference; self-assessment of social class; local residency.

Demography: age (classified); marital status; religious denomination; school education; occupation; employment; household income; state; refugee status.

Interviewer rating: social class and willingness of respondent to cooperate; number of contact attempts.

Also encoded were: age of interviewer and sex of interviewer; city size.

Key Table Information.Table Title.All Sectors: Nonemployer Statistics by Legal Form of Organization and Receipts Size Class for the U.S., States, and Selected Geographies: 2022.Table ID.NONEMP2022.NS2200NONEMP.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Nonemployer Statistics.Source.U.S. Census Bureau, 2022 Economic Surveys.Release Date.2024-12-12.Release Schedule.Nonemployer Statistics (NES) is a data product that has been produced annually since 1997. Prior to 1997, data were published as part of the Economic Census releases.For more information about NES data releases, see Nonemployer Statistics Updates..Dataset Universe.The dataset universe consists of all nonemployer establishments, classified in one of eighteen in-scope sectors defined by 2022 NAICS, that are in operation for some part of the reference year and are located in one of the 50 U.S. states or the District of Columbia, have no paid employees, are subject to federal income tax, and have receipts of $1,000 or more (or $1 for the Construction sector). For more information, see Nonemployer Statistics Methodology..Methodology.Data Items and Other Identifying Records.Number of nonemployer establishmentsNonemployer sales, value of shipments, or revenue ($1,000)Noise range for nonemployer sales, value of shipments, or revenueDefinitions of data items can be found in the table by clicking on the column header and selecting “Column Notes” or by accessing the Nonemployer Statistics Glossary..Unit(s) of Observation.The units for NES are establishments generated from the income tax forms filed for the reference year by sole proprietorships (IRS Form 1040, Schedule C), partnerships (IRS Form 1065), and corporations (IRS Form 1120)..Geography Coverage.The data are shown at the U.S., State, County, Combined Statistical Area, and Metropolitan/Micropolitan Statistical Area levels that vary by industry.Data are also shown at the U.S. and State level by LFO and the U.S. level by Receipt Size Class.For information about geographic classification, see Nonemployer Statistics Methodology..Industry Coverage.The data are shown at the 2- through (where available) 6-digit NAICS code levels for in-scope sectors. Data for nonemployers generally are provided at broader levels of industry detail than data for employers. For more information, see Nonemployer Statistics Methodology..Sampling.There is no sampling done for Nonemployer Statistics. For more information about methodology and data limitations, see Nonemployer Statistics Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7503950, Disclosure Review Board (DRB) approval number: CBDRB-FY25-0040).Nonemployer statistics data are released using the Noise Infusion methodology to protect confidentiality.In addition, data rows with fewer than three contributing establishments are not presented. For more information on noise infusion disclosure avoidance, see Nonemployer Statistics Methodology..Technical Documentation/Methodology.For detailed information on the coverage and methodology of the Nonemployer Statistics data series, see Technical Documentation..Weights.No weighting applied to Nonemployer Statistics..Table Information.FTP Download.https://www2.census.gov/programs-surveys/nonemployer-statistics/data/2022.API Information.Nonemployer Statistics data are housed in the Nonemployer Statistics Application Programming Interface (API)..Symbols.S - Withheld to avoid releasing data that do not meet publication standards; data are included in broader industry totalsN - Not available or not comparableG - Low noise - indicates the cell value was changed by less than 2 percent by the application of noiseH - Moderate noise - indicates the cell value was changed by 2 percent or more but less than 5 percent by the application of noiseJ - High noise - indicates the cell value was changed by 5 percent or more by the application of noiseFor a complete list of symbols, see Nonemployer Statistics Glossary..Data-Specific Notes.Methodology changes may impact the comparability of data over time, as the Census Bureau does not restate previously released NES estimates to reflect changes in the industry classifications, geographic definitions, or methodology used to create the NES estimates.For more information, see the Historical Comparability section on the Nonemployer Statistics Methodology Page..Additional Information.Contact Information.U.S. Census BureauEconomy-Wide Statistics DivisionBusiness Statistics Branch(301) 763-2580ewd.nonemployer.statistics@census.govFor additional contacts, see Contact Us..Suggested Citation.U.S. Census Bureau. "All Sectors: Nonemployer Statistics by Legal Form of Organization and Receipts Size Class for the U.S., States, and Selected Geographies: 2022" Economic Surveys, ECNSVY Nonemployer Statistics, Table NS2200NONEMP, 2024, https://data.census.gov/t...