100+ datasets found
  1. Gross rent as a share of household income in the U.S. 2023

    • statista.com
    Updated May 7, 2025
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    Statista (2025). Gross rent as a share of household income in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/186732/gross-rent-as-a-percent-of-household-income-in-the-us/
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    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Approximately 42.5 percent of residents in renter-occupied housing units in the United States paid gross rent which exceeded 35 percent of their income in 2023. In comparison, about 12.3 percent paid less than 15 percent of their gross household income.

  2. Household rent to income ratio in the UK 2025, by region

    • statista.com
    Updated Mar 10, 2025
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    Statista (2025). Household rent to income ratio in the UK 2025, by region [Dataset]. https://www.statista.com/statistics/752217/household-rent-to-income-ratio-by-region-uk/
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    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    United Kingdom
    Description

    Renters in the UK spent on average 32.5 percent of their income on rent as of January 2025. Scotland and Yorkshire and Humber were the most affordable regions, with households spending less than 28 percent of their gross income on rent. Conversely, London, South West, and South East had a higher ratio. Greater London is the most expensive region for renters Greater London has a considerably higher rent than the rest of the UK regions. In 2024, the average rental cost in Greater London was more than twice higher than in the North West or West Midlands. Compared with Greater London, rent in the South East region was about 600 British pounds cheaper. London property prices continue to increase In recent years, house prices in the UK have been steadily increasing, and the period after the COVID-19 pandemic has been no exception. Prime residential property prices in Central London are forecast to continue rising until 2027. A similar trend in prime property prices is also expected in Outer London.

  3. Average rent affordable for different income type households in California,...

    • statista.com
    Updated Aug 14, 2025
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    Statista (2025). Average rent affordable for different income type households in California, U.S. 2025 [Dataset]. https://www.statista.com/statistics/1255166/average-rent-affordable-for-different-income-california-usa/
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    Dataset updated
    Aug 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    California, United States
    Description

    The average monthly rent in California for a two-bedroom apartment was ***** U.S. dollars in 2025, while a one-bedroom unit cost ******U.S. dollars. Only renters who earn the area median income (AMI) can afford two-bedroom housing in California. Rent affordable to renters with full-time jobs at mean renter wage, or 30 percent area median income, was lower than the fair market rent of a two-bedroom and one-bedroom apartment in California, making this housing in this state not affordable for them. The rent in California ranked highest among all other states in the United States for a two bedroom apartment in 2025.

  4. Median Rent as a Percentage of Income

    • data.wu.ac.at
    csv, json, xml
    Updated Dec 15, 2015
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    United States Census Bureau American Community Survey (2015). Median Rent as a Percentage of Income [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/bTliaS1wNGRy
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    csv, xml, jsonAvailable download formats
    Dataset updated
    Dec 15, 2015
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    This dataset contains information about the percent of income households spend on rent in cities in San Mateo County. This data is for renters only, not those who live in owner-occupied homes with or without a mortgage. This data was extracted from the United States Census Bureau's American Community Survey 2014 5 year estimates.

  5. E

    Egypt Average Household Income: Percentage Distribution: Urban: Estimated...

    • ceicdata.com
    Updated Mar 13, 2018
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    CEICdata.com (2018). Egypt Average Household Income: Percentage Distribution: Urban: Estimated Rental Value of Dwelling [Dataset]. https://www.ceicdata.com/en/egypt/average-household-income/average-household-income-percentage-distribution-urban-estimated-rental-value-of-dwelling
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    Dataset updated
    Mar 13, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2005 - Jun 1, 2015
    Area covered
    Egypt
    Variables measured
    Household Income and Expenditure Survey
    Description

    Egypt Average Household Income: Percentage Distribution: Urban: Estimated Rental Value of Dwelling data was reported at 10.200 % in 2015. This records a decrease from the previous number of 10.600 % for 2013. Egypt Average Household Income: Percentage Distribution: Urban: Estimated Rental Value of Dwelling data is updated yearly, averaging 10.200 % from Jun 2005 (Median) to 2015, with 5 observations. The data reached an all-time high of 10.800 % in 2011 and a record low of 6.600 % in 2005. Egypt Average Household Income: Percentage Distribution: Urban: Estimated Rental Value of Dwelling data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.H012: Average Household Income.

  6. Rent as a share of household income of U.S. Millennials 1980-2009

    • statista.com
    Updated Nov 2, 2011
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    Statista (2011). Rent as a share of household income of U.S. Millennials 1980-2009 [Dataset]. https://www.statista.com/statistics/223449/median-gross-rent-as-a-share-of-pre-tax-household-income-of-us-millennials/
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    Dataset updated
    Nov 2, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1980 - 2009
    Area covered
    United States
    Description

    The statistic shows the median gross rent* as a share of pre-tax household income of Millennials aged 18 to 34 in the United States from 1980 to 2009. In 2009, 18-to 24-year olds spent 32 percent of their household income on rent.

  7. z

    Median Gross Rent As A Percentage Of Household Income (Dollars)

    • zipatlas.com
    Updated Dec 18, 2023
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    Zip Atlas Inc (2023). Median Gross Rent As A Percentage Of Household Income (Dollars) [Dataset]. https://zipatlas.com/zip-code-database-premium.htm
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    Dataset updated
    Dec 18, 2023
    Dataset authored and provided by
    Zip Atlas Inc
    License

    https://zipatlas.com/zip-code-database-download.htm#licensehttps://zipatlas.com/zip-code-database-download.htm#license

    Description

    Median Gross Rent As A Percentage Of Household Income (Dollars) Report based on US Census and American Community Survey Data.

  8. a

    ACS: Median Gross Rent As A Percentage Of Household Income In The Past 12...

    • gis-kingcounty.opendata.arcgis.com
    Updated Feb 13, 2018
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    King County (2018). ACS: Median Gross Rent As A Percentage Of Household Income In The Past 12 Months (Dollars) / acs b25071 mediangrossrentpercent [Dataset]. https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::acs-median-gross-rent-as-a-percentage-of-household-income-in-the-past-12-months-dollars-acs-b25071-mediangrossrentpercent/explore?showTable=true
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    Dataset updated
    Feb 13, 2018
    Dataset authored and provided by
    King County
    Area covered
    Description

    US Census American Community Survey data table for: Housing subject area. Provides information about: MEDIAN GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN THE PAST 12 MONTHS (DOLLARS) for the universe of: Renter-occupied housing units paying cash rent. These data are extrapolated estimates only, based on sampling; they are not actual complete counts. The data is based on 2010 Census Tracts. Table ACS_B25071_MEDIANGROSSRENTPERCENT contains both the Estimate value in the E item for the census topic and an adjacent M item which defines the Margin of Error for the value. The Margin of Error (MOE) is the plus/minus range for the item estimate value, where the range between the Estimate minus the Margin of Error and the Estimate plus the Margin of Error defines the 90% confidence interval of the item value. Many of the Margin of Error values are significant relative to the size of the Estimate value. This table contains 1 item(s) extracted from a larger sequence table. This extracted subset represents that portion of the sequence that is considered high priority. Other portions of this sequence that are not included can be identified in the data dictionary information provided in the Supplemental Information section below. This table information is also provided as a customized layer file: B25071_AREA_MEDIANGROSSRENTPERCENT.lyr where the table information is joined to the 2010 TRACTS_AREA census geography on the GEOID item. Both the table and customized lyr file name do not contain the year descriptor (i.e. 2012-2016) for the current ACS series. This is intentional in order to maintain the same table name in each successive ACS update. The alias of each item's (E)stimate and (M)easure of Error value stores this year date information as beginning YY and ending YY, i.e., 'E1216' and 'M1216' followed by the rest of the alias description. In this way users of the data tables or lyr files that support field aliases can determine which ACS series is being represented by the current table contents.

  9. g

    Households in the rental system of the Basque Country for monthly rental...

    • gimi9.com
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    Households in the rental system of the Basque Country for monthly rental income, percentage of income destined to rent, average household income, average monthly income and average percentage of income destined to rent, according to historical territory, | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_7d06d927568e6efd1a0932d0b31752b0b330ef0f/
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    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Basque Country
    Description

    The main objective of the Survey on Rented Households is as follows: To know the characteristics and situation of households residing in rental housing in the Basque Country and the characteristics of rental housing by type of rental. It is a basic source of information for the system of indicators for monitoring housing policy.More information can be found at https://www.euskadi.eus/survey-to-household-in-regimen-enalq-informacion/web01-s2ing/en/">departmental statistical portal.

  10. HOME Rent Limits

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • catalog.data.gov
    • +1more
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). HOME Rent Limits [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/home-rent-limits
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    In accordance with 24 CFR Part 92.252, HUD provides maximum HOME rent limits. The maximum HOME rents are the lesser of: The fair market rent for existing housing for comparable units in the area as established by HUD under 24 CFR 888.111 or A rent that does not exceed 30 percent of the adjusted income of a family whose annual income equals 65 percent of the median income for the area, as determined by HUD, with adjustments for number of bedrooms in the unit. The HOME rent limits provided by HUD will include average occupancy per unit and adjusted income assumptions.

  11. s

    Spending on renting or buying a house

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Apr 8, 2025
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    Race Disparity Unit (2025). Spending on renting or buying a house [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/housing/owning-and-renting/spending-on-renting-or-buying-a-house/latest
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    csv(16 KB), csv(25 KB), csv(23 KB), csv(27 KB)Available download formats
    Dataset updated
    Apr 8, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England
    Description

    In the 2 years to March 2023, White British households spent 28% of their weekly income on rent payments on average – the lowest percentage out of all ethnic groups.

  12. e

    Rental households in the Basque Country by monthly paid rent, percentage of...

    • euskadi.eus
    csv, xlsx
    Updated Dec 28, 2023
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    (2023). Rental households in the Basque Country by monthly paid rent, percentage of income used for renting, average household income, average monthly income and average percentage of income used for renting, according to historical territory, type of rental, Etxebide registration and receipt of rental subsidies. [Dataset]. https://www.euskadi.eus/rental-households-in-the-basque-country-by-monthly-paid-rent-percentage-of-income-used-for-renting-average-household-income-average-monthly-income-and-average-percentage-of-income-used-for-renting-according-to-historical-territory-type-/of-rental-etxebide-registration-and-receipt-of-rental-subsidies/web01-ejeduki/en/
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    xlsx(19.63), csv(2.52)Available download formats
    Dataset updated
    Dec 28, 2023
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Basque Country
    Description

    The main objective of the Survey of Rental Households is the following: To find out the characteristics and situation of households living in rented housing in the Basque Country and theCharacteristics of rental housing by type of rental. It is a basic source of information for the system of indicators for monitoring housing policy. More information in thehttps://www.euskadi.eus/encuesta-a-hogares-en-regimen-de-alquiler-enalq-informacion/web01-s2ing/es/"> departmental statistical portal.

  13. Expenditure on mortgage and rent as a proportion of total expenditure and...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jul 14, 2023
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    Office for National Statistics (2023). Expenditure on mortgage and rent as a proportion of total expenditure and disposable income, UK [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/expenditure/datasets/expenditureonmortgageandrentasaproportionoftotalexpenditureanddisposableincomeuk
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    xlsxAvailable download formats
    Dataset updated
    Jul 14, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Expenditure on rent by renters and mortgages by mortgage holders, by region and age from the Living Costs and Food Survey for the financial year ending 2022. Data is presented as a proportion of total expenditure and a proportion of disposable income.

  14. Share of income spent on mortgage or rent in England 2011-2024, by tenure

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Share of income spent on mortgage or rent in England 2011-2024, by tenure [Dataset]. https://www.statista.com/statistics/755883/income-spent-on-mortgage-or-rent-england-by-tenure/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2023 - Mar 2024
    Area covered
    United Kingdom (England)
    Description

    When comparing the mortgage or rental costs incurred by owners with mortgage, private renters and social renters in England, private renters pay a considerably larger share of their income than the other two groups. While owner occupiers with mortgages paid approximately **** percent of their income on mortgage in 2024, private renters paid ** percent, or more than *********. In terms of average monthly costs, renting a three-bedroom house is more expensive than buying.

  15. 2013 American Community Survey: B25070 | GROSS RENT AS A PERCENTAGE OF...

    • data.census.gov
    + more versions
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    ACS, 2013 American Community Survey: B25070 | GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN THE PAST 12 MONTHS (ACS 5-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT5Y2013.B25070
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2013
    Description

    Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in 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..An ''-'' entry in the estimate column indicates that 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..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2009-2013 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..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 roughly 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..Source: U.S. Census Bureau, 2009-2013 5-Year American Community Survey

  16. F

    Consumer Price Index for All Urban Consumers: Rent of Primary Residence in...

    • fred.stlouisfed.org
    json
    Updated Jul 15, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SEHA
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    jsonAvailable download formats
    Dataset updated
    Jul 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average (CUUR0000SEHA) from Dec 1914 to Jun 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

  17. a

    Renter Income as a Percentage of Owner Income

    • umn.hub.arcgis.com
    Updated Feb 14, 2015
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    University of Minnesota (2015). Renter Income as a Percentage of Owner Income [Dataset]. https://umn.hub.arcgis.com/maps/ca10f9a77fd8499f9892778a630338ce
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    Dataset updated
    Feb 14, 2015
    Dataset authored and provided by
    University of Minnesota
    Area covered
    Description

    This map shows renter income as a percentage of owner income for census tracts in the Twin Cities Metro, using the median household income for each group.Census tracts were excluded when either the renter-households or owner-households made up than less than 3% of the total number households in that tract.Data source: American Community Survey, 5-year estimates (2013), Table B25119 (Median Household Income by Tenure).Map made by CURA Staff, Feb 2015.

  18. 2017 American Community Survey: B25071 | MEDIAN GROSS RENT AS A PERCENTAGE...

    • data.census.gov
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    ACS, 2017 American Community Survey: B25071 | MEDIAN GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN THE PAST 12 MONTHS (DOLLARS) (ACS 5-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT5Y2017.B25071?q=Financial%20Characteristics&t=Income%20(Households,%20Families,%20Individuals)&g=050XX00US26029&y=2017
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2017
    Description

    Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the .Technical Documentation.. section......Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the .Methodology.. section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Explanation of Symbols:..An "**" entry in 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..An "-" entry in the estimate column indicates that 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..An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution..An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution..An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An "(X)" means that the estimate is not applicable or not available...Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2013-2017 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..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 roughly 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..Source: U.S. Census Bureau, 2013-2017 American Community Survey 5-Year Estimates

  19. Rent Affordability: Average monthly private rent as a percentage of median...

    • ckan.publishing.service.gov.uk
    Updated Nov 10, 2024
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    ckan.publishing.service.gov.uk (2024). Rent Affordability: Average monthly private rent as a percentage of median monthly salary - (2 bedroom properties) - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/kpi-cjge173
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    Dataset updated
    Nov 10, 2024
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Rent Affordability: Average monthly private rent as a percentage of median monthly salary - (2 bedroom properties)

  20. 2000 Decennial Census: HCT060 | MEDIAN GROSS RENT AS A PERCENTAGE OF...

    • data.census.gov
    Updated Aug 23, 2024
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    DEC (2024). 2000 Decennial Census: HCT060 | MEDIAN GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999 [1] (DEC Summary File 4) [Dataset]. https://data.census.gov/table/DECENNIALSF42000.HCT060
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    Dataset updated
    Aug 23, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    DEC
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2000
    Description

    NOTE: Data based on a sample. For information on confidentiality.protection, sampling error, nonsampling error, definitions, and.count corrections see.http://www.census.gov/prod/cen2000/doc/sf4.pdf

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Statista (2025). Gross rent as a share of household income in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/186732/gross-rent-as-a-percent-of-household-income-in-the-us/
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Gross rent as a share of household income in the U.S. 2023

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Dataset updated
May 7, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United States
Description

Approximately 42.5 percent of residents in renter-occupied housing units in the United States paid gross rent which exceeded 35 percent of their income in 2023. In comparison, about 12.3 percent paid less than 15 percent of their gross household income.

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