In 2023, Alaska reported the highest rent for public housing among all the states in the United States. The average monthly rent in Alaska amounted to *** U.S. dollars for government-subsidized housing. California, New York, and Hawaii were some of the states with the highest average rent, with rental costs above *** U.S. dollars. On the other hand, Puerto Rico offered the most affordable public housing with the lowest rent among all states, coming in at just *** U.S. dollars. Some other affordable states for low-income families were Arkansas, Alabama, Oklahoma, and Ohio, all costing less than *** U.S. dollars.

Graph and download economic data for Total Cost of Social Housing Construction for Mexico (OPCNSH01MXM661N) from Jan 1973 to Jul 2019 about social assistance, Mexico, construction, and housing.

A commonly accepted threshold for affordable housing costs at the household level is 30% of a household's income. Accordingly, a household is considered cost burdened if it pays more than 30% of its income on housing. Households paying more than 50% are considered severely cost burdened. These thresholds apply to both homeowners and renters.

The Housing Affordability indicator only measures cost burden among the region's households, and not the supply of affordable housing. The directionality of cost burden trends can be impacted by changes in both income and housing supply. If lower income households are priced out of a county or the region, it would create a downward trend in cost burden, but would not reflect a positive trend for an inclusive housing market.

The CDC provides long-term financing tailored to the investment needs of the social housing sector (social housing organisations, associative sector and medico-social sector). The file presents, by region, the median areas of the social housing units built, their median cost price and the structure of the financing (equity weight, CDC loans, other loans and subsidies) and the cost of such social housing (weight of land, construction and other costs). This information is presented according to the year of signature of the dwellings. The area is in m², the cost prices in current euro and the structure of financing and costs as a percentage.

This statistic shows the share of social housing associations in the United Kingdom (UK) actively pursuing cost savings from 2011 to 2020. In 2013, 100 percent of social housing associations in the UK reported pursuing the cost savings actively, which has since fallen to roughly half at 47 percent as of 2020. The change in focus away from cost cutting is to be partly explained with the plans of many housing associations to increase developments.

This table contains data on the percent of households paying more than 30% (or 50%) of monthly household income towards housing costs for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Department of Housing and Urban Development (HUD), Consolidated Planning Comprehensive Housing Affordability Strategy (CHAS) and the U.S. Census Bureau, American Community Survey (ACS). The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity] Affordable, quality housing is central to health, conferring protection from the environment and supporting family life. Housing costs—typically the largest, single expense in a family's budget—also impact decisions that affect health. As housing consumes larger proportions of household income, families have less income for nutrition, health care, transportation, education, etc. Severe cost burdens may induce poverty—which is associated with developmental and behavioral problems in children and accelerated cognitive and physical decline in adults. Low-income families and minority communities are disproportionately affected by the lack of affordable, quality housing. More information about the data table and a data dictionary can be found in the Attachments.

Statistical data for affordable housing and residential price indexes in Taipei City

Global Housing and Utilities Price Rankings

Context:

This dataset provides comprehensive information on housing and utilities prices across various countries, allowing researchers, analysts, and enthusiasts to explore global cost-of-living trends. The data includes details on each country's housing and utilities prices for the year 2017, along with their global ranking based on these costs. The dataset also indicates the availability status of the data for each country, ensuring transparency in the information provided.

Dataset Use Cases:

• Researchers can analyze this dataset to identify countries with the most and least affordable housing and utilities costs in 2017.
• Data analysts can visualize the global rankings to spot trends in housing affordability.
• Expats and individuals planning to relocate can use this data to make informed decisions about their destination countries.
• Policymakers can gain insights into the cost-of-living disparities between nations.

Dataset

This dataset was created by 173050055

Released under Other (specified in description)

Contents

The CDC provides long-term financing tailored to the investment needs of the social housing sector (social housing organisations, associative sector and medico-social sector). The file presents, by region, the median areas of rehabilitated social housing, their median cost price and the structure of the financing (equity weight, CDC loans, other loans, grants) and the cost of such social housing (weight of the cost of work and other costs). This information is presented according to the year of signature of the projects. The area is in m², the cost prices in current euro and the structure of financing and costs as a percentage. —

ABSTRACT Housing deficit is a problem that affects low-income populations in Brazil, with over 6 million families affected nationwide and approximately 631 thousand in the North region of the country. Ordinance no. 318/2014 of the Brazilian Ministry of Cities authorized the construction of popular housing using timber as raw material in that region. The objective of this study was to establish the unit cost of a wooden dwelling, referenced in the project Popular Wooden Housing (PWH) developed by the Laboratory of Forest Products and the University of Brasília (UNB) for the National Rural Housing Program (NRHP). The Basic Unit Cost (BUC/m2 ) methodology was used, with collection of prices in Rio Branco, capital of the state of Acre, for composition of the Final Unit Cost (FCU/m2) of a wood construction. Mean cost of R$ 934.52/m2 was observed from September 2015 to April 2016. Feasibility of wood construction was demonstrated by a final cost per m2 28.06% lower than that of a conventional masonry house.

Context

This dataset is created via OECD datasource which is consisted of 2000 between 2020. https://data.oecd.org/price/housing-prices.htm

Content

The housing prices indicator shows indices of residential property prices over time. Included are rent prices, real and nominal house prices, and ratios of price to rent and price to income; the main elements of housing costs. In most cases, the nominal house price covers the sale of newly-built and existing dwellings, following the recommendations from RPPI (Residential Property Prices Indices) manual. The real house price is given by the ratio of nominal price to the consumers’ expenditure deflator in each country, both seasonally adjusted, from the OECD national accounts database. The price to income ratio is the nominal house price divided by the nominal disposable income per head and can be considered as a measure of affordability. The price to rent ratio is the nominal house price divided by the rent price and can be considered as a measure of the profitability of house ownership. This indicator is an index with base year 2015.

The Council is required to publish this information under the Local Government Transparency Code 2015 set out by the Department of Local Government (DCLG), now the Ministry of Housing, Communities and Local Government (MHCLG). The Council has followed this guidance on data protection when compiling this information. The guidance requires the data for individual postcode sectors to be merged so that each postcode sector or merged postcode sectors contains at least 2,500 households. It also requires the data for valuation bands to be combined when the number of occupied social housing properties in any valuation band is less than 10. The data is merged with the next lowest valuation band so that no individual valuation band contains the data for less than 10 properties. This guidance requires Councils to explain the difference between the tenanted sale value of dwellings within the Housing Revenue Account and their market sale value and to include assurance that the publication of this information is not intended to suggest that tenancies should end to realise the market value of properties. The market value is the Council’s estimate of the total sum that it would receive if all the dwellings were sold on the open market. The existing use value for social housing value (EUV-SH) is calculated on the basis of rents receivable on existing tenancies. These are less than the rent that would be obtainable on the open market, and the EUV-SH value is therefore lower than the market value. The difference between the two values therefore shows the economic cost of providing housing at less than market value.

In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding ******* U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under ******* U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded **** percent in 2023.

In 2023, the states of Idaho, Vermont and New Hampshire experienced the highest occupancy rates among all the states in the United States. The occupancy rate in Idaho, Vermont and New Hampshire was ** percent, which exceeded the national average of ** percent. Wisconsin and Rhode Island followed closely behind with an occupancy rate of ** percent. In contrast, the U.S. Virgin Islands, North Dakota, and the District of Columbia saw relatively low occupancy rates, all below ** percent.

The Affordable Housing Appeals Procedure List is published annually on or about February 1. The data for the Affordable Housing Appeals Procedure List comes from different sources including federal, state and local programs. This makes it difficult to ensure complete accuracy, so DOH asks municipalities to provide a local administrative review of and input on the street addresses of units and projects as well as information on deed-restricted units. The responses received by DOH vary widely from each municipality. In developing the Affordable Housing Appeals Procedure List, DOH counts: -Assisted housing units or housing receiving financial assistance under any governmental program for the construction or substantial rehabilitation of low and moderate income housing that was occupied or under construction by the end date of the report period for compilation of a given year’s list; -Rental housing occupied by persons receiving rental assistance under C.G.S. Chapter 138a (State Rental Assistance/RAP) or Section 142f of Title 42 of the U.S. Code (Section 8); -Ownership housing or housing currently financed by the Connecticut Housing Finance Authority and/or the U.S. Department of Agriculture; and -Deed-restricted properties or properties with deeds containing covenants or restrictions that require such dwelling unit(s) be sold or rented at or below prices that will preserve the unit(s) as affordable housing as defined in C.G.S. Section 8-39a for persons or families whose incomes are less than or equal to 80% of the area median income.

More than one minimum wage job was required to afford two-bedroom housing in all states in the United States in 2025. At mean wage, Hawaii was the most expensive state, requiring renters to hold about two full-time jobs at a mean wage to afford two-bedroom housing. The fair market rent value of two bedroom housing in Hawaii ranked second most expensive among all states in the United States in 2025.

The Housing Affordability Data System (HADS) is a set of files derived from the 1985 and later national American Housing Survey (AHS) and the 2002 and later Metro AHS. This system categorizes housing units by affordability and households by income, with respect to the Adjusted Median Income, Fair Market Rent (FMR), and poverty income. It also includes housing cost burden for owner and renter households. These files have been the basis for the worst case needs tables since 2001. The data files are available for public use, since they were derived from AHS public use files and the published income limits and FMRs. These dataset give the community of housing analysts the opportunity to use a consistent set of affordability measures. The most recent year HADS is available as a Public Use File (PUF) is 2013. For 2015 and beyond, HADS is only available as an IUF and can no longer be released on a PUF. Those seeking access to more recent data should reach to the listed point of contact.