Displacement risk indicator classifying census tracts according to apartment rent prices in census tracts. We classify apartment rent along two dimensions:The median rents within the census tract for the specified year, balancing between nominal rental price and rental price per square foot.The change in median rent price (again balanced between nominal rent price and price per square foot) from the previous year.Note: Median rent calculations include market-rate and mixed-income multifamily apartment properties with 5 or more rental units in Seattle, excluding special types like student, senior, corporate or military housing.Source: Data from CoStar Group, www.costar.com, prepared by City of Seattle, Office of Planning and Community Development

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.

Price to Rent Ratio in the United States increased to 134.20 in the fourth quarter of 2024 from 133.60 in the third quarter of 2024. This dataset includes a chart with historical data for the United States Price to Rent Ratio.

This layer shows housing costs as a percentage of household income. 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. Income is based on earnings in past 12 months of survey. This layer is symbolized to show the percent of renter households that spend 30.0% or more of their household income on gross rent (contract rent plus tenant-paid utilities). 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): B25070, B25091 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis 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 2023 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 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.

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 May 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Price to Rent Ratio in France increased to 116.98 in the first quarter of 2025 from 116.69 in the fourth quarter of 2024. This dataset includes a chart with historical data for France Price to Rent Ratio.

PUMA data Gross rent as % of House Hold Income (30% or more)

Displacement risk indicator showing how many households within the specified groups are facing housing cost burden (contributing more than 30% of monthly income toward housing costs).

Price to Rent Ratio in Czech Republic increased to 162.93 in the first quarter of 2025 from 161.33 in the fourth quarter of 2024. This dataset includes a chart with historical data for Czech Republic Price to Rent Ratio.

Philippines PTE: House Rent data was reported at 12.200 % in 2015. Philippines PTE: House Rent data is updated yearly, averaging 12.200 % from Dec 2015 (Median) to 2015, with 1 observations. Philippines PTE: House Rent data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H026: Family Income and Expenditure Survey: Percentage Distribution of Family Expenditure: By Income Class.

The map includes the rent categories of the canton of Bern per municipality or municipal districts. The rental value category represents the average rent level of a municipality, or a municipality in comparison with the other municipalities, or municipal districts in the canton of Bern. The rental value categories are an essential basis for the determination of official values (asset tax values) and own rental values (income tax values) in the canton of Bern.

Price to Rent Ratio in Italy increased to 103.85 in the fourth quarter of 2024 from 103.63 in the third quarter of 2024. This dataset includes a chart with historical data for Italy Price to Rent Ratio.

Table from the American Community Survey (ACS) 5-year series on housing tenure and cost related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B25003 Tenure of Occupied Housing Units, B25070 Gross Rent as a Percentage of Household Income in the Past 12 Months, B25063 Gross Rent, B25091 Mortgage Status by Selected Monthly Owner Costs as a Percentage of Household Income in the Past 12 Months, B25087 Mortgage Stauts and Selected Monthly Owner Costs, B25064 Median Gross Rent, B25088 Median Selected Monthly Owner Costs by Mortgage Status. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.Table created for and used in the Neighborhood Profiles application.Vintages: 2023ACS Table(s): B25003, B25070, B25063, B25091, B25087, B25064, B25088Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis 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. 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: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 2020 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 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.

Price to Rent Ratio in Israel increased to 132.80 in the first quarter of 2025 from 132.37 in the fourth quarter of 2024. This dataset includes a chart with historical data for Israel Price to Rent Ratio.

Price to Rent Ratio in South Korea increased to 102.42 in the first quarter of 2025 from 102.15 in the fourth quarter of 2024. This dataset includes a chart with historical data for South Korea Price to Rent Ratio.

This layer is published from the Department of Community Affairs to show Federally designated Opportunity Zones.The U.S. Department of the Treasury and the Internal Revenue Service (IRS) have designated Opportunity Zones in 18 States, including 260 census tracts in the State of Georgia. Economic investment in these areas, which are some of the most distressed communities in the country, may now be eligible for preferential tax treatment. These new Federal Opportunity Zones are intended to facilitate investment in areas where poverty rates are greater than 20 percent.“This designation will enable some of our state’s struggling communities to attract much-needed private sector investment,” said DCA Commissioner Christopher Nunn. “By giving an economic ‘shot in the arm’ to these communities, the goal is to boost investment where it’s most urgently needed.”Georgia’s 260 zones, located in 83 counties, represent some of the most concentrated poverty in the state and are found in both rural and metropolitan areas, with approximately 60% rural and 40% urban. Qualified Opportunity Zones retain this designation for 10 years. Investors can defer tax on any prior gains until no later than December 31, 2026, so long as the gain is reinvested in a Qualified Opportunity Fund, an investment vehicle organized to make investments in Qualified Opportunity Zones. In addition, if the investor holds the investment in the Opportunity Fund for at least ten years, the investor would be eligible for an increase in its basis equal to the fair market value of the investment on the date that it is sold.Treasury and the IRS plan to issue additional information on Qualified Opportunity Funds to address the certification of Opportunity Funds, which are required to have at least 90 percent of fund assets invested in Opportunity Zones. DCA will communicate additional information about the specifics of the program as it is released by Treasury. Interactive map of designated Opportunity Zones.Additional information on Opportunity Zones.View a full list of Georgia’s designated census tracts, by county.Click here for FAQs.About the Georgia Department of Community AffairsThe Georgia Department of Community Affairs (DCA) partners with communities to create a climate of success for Georgia’s families and businesses through community and economic development, local government assistance, and safe and affordable housing. Using state and federal resources, DCA helps communities spur private job creation, implement planning, develop downtowns, generate affordable housing solutions, and promote volunteerism. DCA also helps qualified low- and moderate-income Georgians buy homes, rent housing, and prevent foreclosure and homelessness. For more information, visit www.dca.ga.gov.

Price to Rent Ratio in Iceland decreased to 153.90 in the first quarter of 2025 from 154.47 in the fourth quarter of 2024. This dataset includes a chart with historical data for Iceland Price to Rent Ratio.

Price to Rent Ratio in Slovakia increased to 157.08 in the first quarter of 2025 from 151.50 in the fourth quarter of 2024. This dataset includes a chart with historical data for Slovakia Price to Rent Ratio.

Price to Rent Ratio in the United Kingdom decreased to 113.62 in the fourth quarter of 2024 from 114.08 in the third quarter of 2024. This dataset includes a chart with historical data for the United Kingdom Price to Rent Ratio.

Price to Rent Ratio in Canada decreased to 134.71 in the first quarter of 2025 from 134.87 in the fourth quarter of 2024. This dataset includes a chart with historical data for Canada Price to Rent Ratio.