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.

SELECTED HOUSING CHARACTERISTICS GROSS RENT AS PERCENTAGE OF INCOME - DP04 Universe - Occupied units paying rent Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Gross rent as a percentage of household income is a computed ratio of monthly gross rent to monthly household income (total household income divided by 12). The ratio is computed separately for each unit and is rounded to the nearest tenth. Units for which no rent is paid and units occupied by households that reported no income or a net loss comprise the category “Not computed."

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.

Graph and download economic data for Other Financial Information: Estimated Monthly Rental Value of Owned Home by Quintiles of Income Before Taxes: Fourth 20 Percent (61st to 80th Percentile) (CXU910050LB0105M) from 1984 to 2023 about owned, information, rent, estimate, percentile, tax, financial, income, housing, and USA.

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.

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

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.

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.

In a survey conducted in Australia in 2023, around ********* of respondents indicated that they spend between ** to ** percent of their weekly income on rent. Over **** percent of respondents spent between ** and ** percent of their weekly income on rent.

Graph and download economic data for Expenditures: Rented Dwellings by Deciles of Income Before Taxes: Fourth 10 Percent (31st to 40th Percentile) (CXURNTDWELLLB1505M) from 2014 to 2023 about rent, percentile, tax, expenditures, income, housing, and USA.

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.

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.

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

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.

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.

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

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

Percentage of total monthly household income spent on private rent for England, Wales and Northern Ireland, and by regions of England, financial years ending 2016 to 2024.

This map shows housing costs as a percentage of household income. Severe housing cost burden is described as when over 50% of income in a household is spent on housing costs. For renters it is over 50% of household income going towards gross rent (contract rent plus tenant-paid utilities). Miami, Florida accounts for the having the highest population of renters with severe housing burden costs.The map's topic is shown by tract and county centroids. 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. Income is based on earnings in past 12 months of survey. Current Vintage: 2015-2019ACS Table(s): B25070, B25091Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 10, 2020National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis map 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. 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. 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 clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. 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 RicoCensus 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.

This graph shows the answers to a survey conducted in Italy in 2018. Individuals were asked which proportion of their monthly income they spend on their mortgage/rent. Some ** percent of the respondents said that their mortgage/rent accounts for ********** of their monthly income. Moreover, *** in *** respondents declared that they do not pay any mortgage or rent.