Table 3.1a Percentile points from 1 to 99 for total income before and after...
- gov.uk
Updated Mar 12, 2025+ more versions
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EmailClick to copy linkLink copiedCiteHM Revenue & Customs (2025). Table 3.1a Percentile points from 1 to 99 for total income before and after tax [Dataset]. https://www.gov.uk/government/statistics/percentile-points-from-1-to-99-for-total-income-before-and-after-taxDataset updatedMar 12, 2025AuthorsHM Revenue & CustomsDescriptionThe table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.
These statistics are classified as accredited official statistics.
You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.
Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.
Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.
Household income distribution in the U.S. 2000-2024
- statista.com
Updated Nov 28, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteStatista (2025). Household income distribution in the U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/758502/percentage-distribution-of-household-income-in-the-us/Dataset updatedNov 28, 2025Area coveredUnited StatesDescriptionIn 2024, households with incomes between 100,000 and 149,999 U.S. dollars accounted for 16.7 percent of household in the United States. The highest earning group, who bring in over 200,000 U.S. dollars annually, accounted for 16 percent of households.
Household income distribution in the U.S. 2024, by race and ethnicity
- statista.com
Updated Nov 19, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteStatista (2025). Household income distribution in the U.S. 2024, by race and ethnicity [Dataset]. https://www.statista.com/statistics/203207/percentage-distribution-of-household-income-in-the-us-by-ethnic-group/Dataset updatedNov 19, 2025Time period covered2024Area coveredUnited StatesDescriptionIn 2024, about 44.7 percent of White households in the United States had an annual median income of over 100,000 U.S. dollars. By comparison, only 26.8 percent of Black households were in this income group. Asian Americans, on the other hand, had the highest median income per household that year.
- e
Household income distributions by geography (U.S. Census ACS)
- efficientdollar.com
Updated Nov 30, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteU.S. Census Bureau (2025). Household income distributions by geography (U.S. Census ACS) [Dataset]. https://efficientdollar.com/tools/income-percentileDataset updatedNov 30, 2025Dataset authored and provided byU.S. Census BureauLicensehttps://www.census.gov/data/developers/about/terms-of-service.htmlhttps://www.census.gov/data/developers/about/terms-of-service.html
Area coveredUnited StatesDescriptionHousehold income bucket counts by ZIP code, city, county, state, and the U.S. overall, based on American Community Survey (ACS) 5-year estimates.
- c
Data from: Median Household Income
- data.clevelandohio.gov
Updated Aug 21, 2023+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteCleveland | GIS (2023). Median Household Income [Dataset]. https://data.clevelandohio.gov/datasets/ClevelandGIS::demographic-profiles/about?layer=1Dataset updatedAug 21, 2023Dataset authored and provided byCleveland | GISLicenseOpen Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automaticallyArea coveredDescriptionThis layer shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey.This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.Current Vintage: 2019-2023ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053The United States Census Bureau's American Community Survey (ACS):This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:- This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.
- Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
- The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
- Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
- Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.
- Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.
- Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:
- The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.
- Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.
- The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.
- The estimate is controlled. A statistical test for sampling variability is not appropriate.
- The data for this geographic area cannot be displayed because the number of sample cases is too small.
Survey of Consumer Finances
- federalreserve.gov
Updated Oct 18, 2023+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteBoard of Governors of the Federal Reserve Board (2023). Survey of Consumer Finances [Dataset]. http://doi.org/10.17016/8799Unique identifierhttps://doi.org/10.17016/8799Dataset updatedOct 18, 2023Dataset provided byFederal Reserve Systemhttp://www.federalreserve.gov/
Federal Reserve Board of GovernorsAuthorsBoard of Governors of the Federal Reserve BoardTime period covered1962 - 2023DescriptionThe Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.
- i
Richest Zip Codes in New York
- incomebyzipcode.com
Updated Dec 18, 2024+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteCubit Planning, Inc. (2024). Richest Zip Codes in New York [Dataset]. https://www.incomebyzipcode.com/newyorkDataset updatedDec 18, 2024Dataset authored and provided byCubit Planning, Inc.Licensehttps://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
Area coveredNew YorkDescriptionA dataset listing the richest zip codes in New York per the most current US Census data, including information on rank and average income.
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FacebookTwitterEmailTable 3.1a Percentile points from 1 to 99 for total income before and after tax
The table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.
These statistics are classified as accredited official statistics.
You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.
Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.
Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.