Home Ownership Rate in the United States increased to 65.70 percent in the fourth quarter of 2024 from 65.60 percent in the third quarter of 2024. This dataset provides the latest reported value for - United States Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Homeownership Rate in the United States (RHORUSQ156N) from Q1 1965 to Q1 2025 about homeownership, housing, rate, and USA.

The housing affordability measure illustrates the relationship between income and housing costs. A household that spends 30% or more of its collective monthly income to cover housing costs is considered to be “housing cost-burden[ed].”[1] Those spending between 30% and 49.9% of their monthly income are categorized as “moderately housing cost-burden[ed],” while those spending more than 50% are categorized as “severely housing cost-burden[ed].”[2]

How much a household spends on housing costs affects the household’s overall financial situation. More money spent on housing leaves less in the household budget for other needs, such as food, clothing, transportation, and medical care, as well as for incidental purchases and saving for the future.

The estimated housing costs as a percentage of household income are categorized by tenure: all households, those that own their housing unit, and those that rent their housing unit.

Throughout the period of analysis, the percentage of housing cost-burdened renter households in Champaign County was higher than the percentage of housing cost-burdened homeowner households in Champaign County. All three categories saw year-to-year fluctuations between 2005 and 2023, and none of the three show a consistent trend. However, all three categories were estimated to have a lower percentage of housing cost-burdened households in 2023 than in 2005.

Data on estimated housing costs as a percentage of monthly income was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Housing Tenure.

[1] Schwarz, M. and E. Watson. (2008). Who can afford to live in a home?: A look at data from the 2006 American Community Survey. U.S. Census Bureau.

[2] Ibid.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (17 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (22 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (30 September 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (10 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (10 June 2021).;U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; 16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).

Existing Home Sales in the United States decreased to 4000 Thousand in April from 4020 Thousand in March of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

[Disclaimer: This application is a DRAFT and is still under development. Your feedback is welcome.]Data Use: The primary purpose of the Equity Impact Assessment scores is to aid in policymaking, program development, and resource allocation by pinpointing Equity Priority Areas that would benefit most from equity-focused interventions. It is designed to be utilized as part of a suite of tools, in conjunction with the expertise of various Departments, to inform and guide decision-making processes effectively.Using both ZIP Code and Census Tract geographies appropriately is important. Use ZIP Codes for a general overview of larger areas. Use Census Tracts when you require a more detailed analysis of smaller, specific areas. EIA (Equity Impact Assessment) Score Methodology

Data were analyzed for each area in the city limits, assessed against the key questions below, and assigned a risk score (5: Most Impact, 1: Least Impact).

Do Black, Hispanic, and Native American populations make up more than 70% of the community? (Table DP05: 2022)

Does the area have 15% or more people living below poverty? (Table: S1701: 2022)

Do less than 50% of the area’s households own their home? (Table: DP04: 2022)Are Are more than 12% of the area’s residents 65+ Yrs. Old? (Table: DP05: 2022)

Is the area rated “High” on the CDC’s Social Vulnerability level? (Texas 2020 SVI: RPL_Themes)

*The compound score for the factors is calculated to assess the overall impact for a community.Example: 80% Minority Population = 1, "High" Social Vulnerability Index = 1, 30% of 65+ Residents = 1, 5% Below Poverty=0, 70% Tenured Homeownership = 0; Compound Risk Score = 3Race Includes the sum of the percentage of (African American Population + Latino or Hispanic Population+ Native American)Replace (-) with null (blank values)The datasets collected to update the Equity Impact Assessment Score Methodology are from the ACS 2022 dataset and the Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program. CDC/ATSDR Social Vulnerability Index 2020 Database Texas.

Census Tracts that receive a score of 0 are scored as 1.2020 CDC’s Social Vulnerability Level

Rating

RPL_Themes

1 (High)

.75-1

2 (Moderate to High)

.5-75

3 (Low to Moderate)

.25-.49

4 (Low)

0-.24

Data source: U.S. Census Bureau. American Community Survey, 2022 5-Year Estimates, Tables DP04, DP05, S1701. Retrieved from https://data.census.gov.Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry/Geospatial Research, Analysis, and Services Program. CDC/ATSDR Social Vulnerability Index 2020 Database Texas. Retrieved from https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.htmlYear: 2022 ACS 5-Year Estimates, 2020 Social Vulnerability Index Provider: U.S. Census Bureau, Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry/Geospatial Research, Analysis, and Services Program

New Home Sales in the United States increased to 743 Thousand units in April from 670 Thousand units in March of 2025. This dataset provides the latest reported value for - United States New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Total Housing Inventory in the United States increased to 1450 Thousands in April from 1330 Thousands in March of 2025. This dataset includes a chart with historical data for the United States Total Housing Inventory.

Housing Starts in the United States increased to 1361 Thousand units in April from 1339 Thousand units in March of 2025. This dataset provides the latest reported value for - United States Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

EIA (Equity Impact Assessment) Score MethodologyData were analyzed for each area in the city limits, assessed against the key questions below, and assigned a risk score (5: Most Impact, 1: Least Impact).Do Black, Hispanic, and Native American populations make up more than 70% of the community? (Table DP05: 2020)<!- Does the area have 15% or more people living below poverty? (Table: S1701: 2020)<!--Do less than 50% of the area’s households own their home? (Table: DP04: 2020)<!--Is the area rated “High” on the CDC’s Social Vulnerability level? (Texas 2020 SVI: RPL_Themes)2018 CDC’s Social Vulnerability LevelRatingRPL_Themes 1 (High).75-12 (Moderate to High).5-753 (Low to Moderate).25-.494 (Low)0-.245. Are more than 12% of the area’s residents 65+ Yrs. Old? (Table: DP05: 2020)*The compound score for the factors is calculated to assess the overall impact for a community.Example: 80% Minority Population = 1, "High" Social Vulnerability Index = 1, 30% of 65+ Residents = 1, 5% Below Poverty=0, 70% Tenured Homeownership = 0; Compound Risk Score = 3Race Includes the sum of the percentage of (African American Population + Latino or Hispanic Population+ Native American)Replace (-) with null (blank values)The datasets collected to update the Equity Impact Assessment Score Methodology are from the ACS 2020 dataset and the Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program. CDC/ATSDR Social Vulnerability Index 2020 Database Texas.Census Tracts that receive a score of 0 are scored as 1.

Los Angeles Index of Displacement PressureThe Los Angeles Index of Displacement Pressure combines measures that past research efforts and our own original research have shown correlate with future change and displacement pressure. Created in 2015/2016, the index primarily uses data from 2012-2015.These seven measures are applied at the Census Tract level for tracts where >=40% of households earn less than the City's median income. The measures are grouped into two classes: change factors and displacement pressure factors.Change factor measures are those that suggest future revitalization is likely due to investment, projected housing price gains, and proximity to recently changed areas. On the other hand, displacement pressure factors capture areas with a high concentration of existing residents who may have difficulty absorbing massive rent increases that often accompany revitalization. The Los Angeles Index of Displacement Pressure captures the intersection between these two classes.Change Measures Transportation InvestmentMeasure 1: Distance to current rail stations (within a 1/2 mile radius. Tracts beyond 1/2 mile receive no score for this measure). Source: LA MetroMeasure 2: Distance to rail stations under construction/recently opened in 2016 (within a 1/2 mile radius. Tracts beyond 1/2 mile receive no score for this measure)Source: LA Metro Proximity to Rapidly Changing NeighborhoodsMeasure 3: Distance to the closest "top tier" changing neighborhood, as defined by the Los Angeles Index of Neighborhood Change (within a 1 mile radius. Tracts beyond 1 mile receive no score for this measure)Source: The Los Angeles Index of Neighborhood Change Housing MarketMeasure 4: Change in housing price projections from 2015 to 2020 Source: ESRI Community Analyst Displacement Pressure FactorsMeasure 5: Percent of households that rentSource: American Community Survey, Five-Year Estimate, 2014Measure 6: Percent of households that are extremely rent burdened (pay >=50% of household income on rent)Source: American Community Survey, Five-Year Estimate, 2014Measure 7: The number of affordable properties and housing units that are due to expire by 2023.Source: The Los Angeles Housing Element, 2012Date updated: April 7, 2018Refresh rate: Never - Historical data