The number of manufactured home shipments in the United States has been on the rise since 2009, despite remaining substantially lower than in the 1990s. In 2022, there were about 113,000 mobile homes shipments, down from over 373,000 in 1998 - the year with the most homes shipped. Texas was the largest mobile home market and the state with the most mobile homes manufacturing plants.

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.

West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

This map uses a two-color thematic shading to emphasize where areas experience the least to the most affordable housing across the US. This web map is part of the How Affordable is the American Dream story map.

Esri’s Housing Affordability Index (HAI) is a powerful tool to analyze local real estate markets. Esri’s housing affordability index measures the financial ability of a typical household to purchase an existing home in an area. A HAI of 100 represents an area that on average has sufficient household income to qualify for a loan on a home valued at the median home price. An index greater than 100 suggests homes are easily afforded by the average area resident. A HAI less than 100 suggests that homes are less affordable. The housing affordability index is not applicable in areas with no households or in predominantly rental markets . Esri’s home value estimates cover owner-occupied homes only. For a full demographic analysis of US growth refer to Esri's Trending in 2017: The Selectivity of Growth.

The pop-up is configured to show the following 2017 demographics for each County and ZIP Code:

Total Households 2010-17 Annual Pop Change Median Age Percent Owner-Occupied Housing Units Median Household Income Median Home Value Housing Affordability Index Share of Income to Mortgage

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.

Graph and download economic data for Housing Affordability Index (Fixed) (FIXHAI) from May 2024 to May 2025 about fixed, housing, indexes, and USA.

In 2023, New York had the highest number of public housing units among all the states in the United States. The number of housing units in New York was approximately *******, more than three times higher than the next two states in the ranking, Pennsylvania and Puerto Rico. In contrast, Vermont had the lowest number of public housing units, at just *** units. Additionally, Wyoming and Idaho were among the states with notably limited housing units available for occupancy, each reporting fewer than 1,000 units.

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.

The United States manufactured homes market is experiencing robust growth, driven by increasing affordability concerns and a persistent housing shortage. With a Compound Annual Growth Rate (CAGR) exceeding 5% and a market size exceeding a billion dollars (estimating a market size based on typical CAGR and reported market values for similar sectors), the sector is poised for significant expansion between 2025 and 2033. Key market drivers include the rising demand for affordable housing options, particularly among first-time homebuyers and lower-income families, coupled with the relative speed and efficiency of manufactured home construction compared to traditional site-built homes. Furthermore, advancements in manufacturing techniques and design aesthetics are enhancing the appeal and perceived quality of manufactured homes, thereby attracting a broader range of buyers. The market is segmented into single-family and multi-family units, with single-family homes currently dominating the market share. Leading players such as Morton Buildings Inc., Skyline Champion Corporation, and others are continuously innovating to improve energy efficiency, incorporate smart home technology, and offer diverse customization options to cater to evolving consumer preferences. Despite the positive growth trajectory, challenges remain. These include fluctuating raw material costs, potential regulatory hurdles regarding building codes and zoning regulations, and the ongoing perception among some consumers that manufactured homes are inferior to site-built homes. Addressing these concerns through industry-wide efforts towards improved quality control, enhanced marketing strategies, and active lobbying for favorable regulatory changes will be crucial for sustaining the market's long-term growth. The increased adoption of sustainable building practices and the integration of technological advancements will also play a significant role in shaping the future of this dynamic market. The forecast period of 2025-2033 suggests continued expansion fueled by persistent housing needs and the increasing attractiveness of manufactured housing as a viable and affordable alternative. Recent developments include: July 2022: The Factory Expo Home Centers are situated at 12 Skyline Champion manufacturing plants around the United States. Champion Retail Housing, a subsidiary of Skyline Champion Corporation, agreed with Alta Cima Corporation to purchase the assets and take over the management of the Factory Expo Home Centers., May 2022: Champion Home Builders purchased nearly all of the operating assets of Manis Custom Builders Inc. and related companies (collectively, "Manis"), located in Laurinburg, NC, for about USD 10 million. This acquisition led to the addition of a 250,000 square foot campus in Laurinburg and Manis' retail location to its existing North Carolina campuses.. Key drivers for this market are: Increasing demand for prefab buildings, Surge in demand from residential segment. Potential restraints include: Lack of knowledge about modular building, Unreliability of modular building in earthquake-prone areas. Notable trends are: States in the US Spending the Most on Manufactured Housing.

First launched by the U.S. Department of Housing and Urban Development (HUD) and Department of Transportation (DOT) in November 2013, the Location Affordability Index (LAI) provides ubiquitous, standardized household housing and transportation cost estimates for all 50 states and the District of Columbia. Because what is affordable is different for everyone, users can choose among eight household profiles—which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.

Version 3 updates the constituent data sets with 2012-2016 American Community Survey data and makes several methodological tweaks, most notably moving to modeling at the Census tract level rather at the block group. As with Version 2, the inputs to the simultaneous equation model (SEM) include six endogenous variables—housing costs, car ownership, and transit usage for both owners and renters—and 18 exogenous variables, with vehicle miles traveled still modeled separately due to data limitations.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 2012-2016 Data Dictionary: DD_Location Affordability Indev v.3.0LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation

The Low-Income Housing Tax Credit (LIHTC) is the primary Federal program for creating affordable housing in the United States. The LIHTC database, created by HUD and available to the public since 1997, contains information on 33,777 projects and almost 2,203,000 housing units placed in service between 1987 and 2010. Created by the Tax Reform Act of 1986, the LIHTC program gives State and local LIHTC-allocating agencies the equivalent of nearly $8 billion in annual budget authority to issue tax credits for the acquisition, rehabilitation, or new construction of rental housing targeted to lower-income households. Although some data about the program have been made available by various sources, HUD's database is the only complete national source of information on the size, unit mix, and location of individual projects. With the continued support of the national LIHTC database, HUD hopes to enable researchers to learn more about the effects of the tax credit program. The LIHTC property locations depicted in this map service represent the general location of the property. The locations of individual buildings associated with each property are not depicted here. The location of the property is derived from the address of the building with the most units.

The Low-Income Housing Tax Credit (LIHTC) is the most important resource for creating affordable housing in the United States today. The LIHTC database, created by HUD and available to the public since 1997, contains information on 48,672 projects and 3.23 million housing units placed in service since 1987. Low-Income Housing Tax Credit Qualified Census Tracts must have 50 percent of households with incomes below 60 percent of the Area Median Gross Income (AMGI) or have a poverty rate of 25 percent or more. Difficult Development Areas (DDA) are areas with high land, construction and utility costs relative to the area median income and are based on Fair Market Rents, income limits, the 2010 census counts, and 5-year American Community Survey (ACS) data.

Texas, North Carolina, and Florida were the states with the highest number of mobile homes in the U.S. as of September 2023. Since 1994, the cumulative number of manufactured housing units shipped to Texas amounted to approximately *******. Texas was also home to the largest number of manufactured home production plants, with over ** facilities operating in the state. What is the price of a mobile home? Because they are factory manufactured, mobile homes are considerably less expensive than regular homes. In 2022, a double-width mobile home cost about ******* U.S. dollars. While this may be more affordable than buying a new home, there are drawbacks to owning a mobile home. For example, unless the home buyer also owns the land, the mobile home is likely to depreciate over time. In contrast, regular homeowners can expect that if home prices and land prices grow, their property will go up in value. The need for affordable housing With house prices and mortgage rates rising, while housing inventory remains limited, it has become increasingly difficult for prospective homebuyers to buy a home. To address this issue, the Biden-Harris administration released a housing supply action plan aiming to close the housing supply gap in the next five years. Within the scope of the plan are policies that encourage state and local zoning and land-use laws, piloting new financing for housing production and preservation, and preserving the availability of affordable housing for owner-occupants.

Text source: https://www.huduser.gov/portal/publications/hsgfin/addi.html In recognition of the fact that a lack of savings is the most significant barrier to homeownership for most low-income families1, Congress passed the American Dream Downpayment Act of 2003, which established the American Dream Downpayment Initiative (ADDI). The ADDI program was designed to provide assistance with downpayments, closing costs, and, if necessary, rehabilitation work done in conjunction with a home purchase. This formula-based program disburses assistance through a network of Participating Jurisdictions (PJs) in all 50 states and affords them significant flexibility in designing homebuyer programs to meet the needs of their communities. Established as part of the HOME program,2 ADDI is a prime example of direct federal assistance to promote low-income homeownership. In recent years there have been growing concerns that many new low-income homeowners have had difficulty maintaining homeownership.3 To address these concerns in the context of the ADDI program, the Fiscal Year 2006 U.S. Senate Report on the Transportation, Treasury and HUD Appropriations Bill directed the U.S. Department of Housing and Urban Development (HUD) to report on the foreclosure and delinquency rate of households who received downpayment assistance through ADDI.4 This report has been developed in response to this congressional mandate. Due to the limited program history of ADDI, and since HOME-assisted homebuyers are quite similar to those assisted by the ADDI, this study jointly estimates annual foreclosure and delinquency rates for both HOME- and ADDI-assisted borrowers who purchased homes during the period from 2001 through 2005.5 While all HOME/ADDI-assisted borrowers were included in the analysis, in order to have the results be representative of the ADDI program, the sample of PJs was limited to those that were eligible for an allocation of ADDI funds in 2004, the year in which the largest number of PJs were eligible. The primary objective of the study, which addresses the congressional inquiry, is to provide an estimate of the foreclosure and delinquency rates among HOME/ADDI-assisted homebuyers. HUD was also interested in an analysis of the reasons behind these outcomes. Thus, a secondary objective of this study is to analyze the factors associated with variations in delinquency and default rates. 1 See, for example, U. S. Department of Housing and Urban Development, Barriers to Minority Homeownership, July 17, 2002, and Herbert et al., Homeownership Gaps Among Low-Income and Minority Borrowers and Neighborhoods, U.S. Department of Housing and Urban Development, March 2005. 2 Created under Title II of the National Affordable Housing Act of 1990, the HOME program is designed to provide affordable housing to low-income households, expand the capacity of nonprofit housing providers, and strengthen the ability of state and local governments to develop and implement affordable housing strate-gies tailored to local needs and priorities. 3 See, for example, Dean Baker, "Who's Dreaming?: Homeownership Among Low-Income Families," Center for Eco-nomic and Policy Research, Washington, DC, January 2005. 4 Throughout our discussion the terms "default" and "foreclosure" are used to refer to the same outcome where homeowners lose their home in foreclosure. 5 Foreclosure and delinquency rates for 2000 are not included here as the data was not consistent enough to produce valid estimations. This report is based in part on surveys of participating jurisdictions.

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.

The monthly rent of mobile homes in the U.S. has gradually increased since 2010, peaking in 2024. In the third quarter of that year, the average monthly rent for manufactured homes was *** U.S. dollars. Similarly, apartment rents also soared in 2022, followed by a slight decline in the next two years. Where in the U.S. are manufactured homes most popular? States with a growing economy and large population provide the best opportunities for manufactured housing. In September 2023, Texas had the highest number of mobile homes in the United States. Other states with a high number of mobile homes were North Carolina and Florida. Moreover, Texas also boasted the highest number of manufactured home production plants. Affordability of mobile homes across the U.S. Manufactured homes are considerably less expensive than regular homes, which makes them an attractive option for people looking to purchase property without breaking the bank. Mobile homes are cheaper because manufacturers benefit from economies of scale due to large-scale production, which allows them to lower costs per unit. Additionally, mobile homes lose value faster than traditional homes, which can make them more affordable to purchase initially. The average sales price for a new mobile home has been on the rise, but during the housing boom in 2021, it increased dramatically.

Public Parcels - Metro CTUsThis web map was created by Metro Transit's Transit Oriented Development (TOD) Office to showcase the newly expanded public parcel data in relation to existing and planned transit facilities across the Twin Cities Metropolitan Area. As of August, 2019, the parcels can also be viewed in relation to Federally approved Opportunity Zones. More information on the new US Department of Treasury Opportunity Zone Program can be found here. The purpose of the public parcel data is to increase awareness of the location and quantity of publicly owned lands at all levels of government. The Q-1 2020 dataset now includes more than 35,000 parcels from across 128 cities, townships, and unorganized territories (CTUs). These parcels are further classified and displayed by eight broad ownership or administrative categories. Users can view, analyze, share, and research publicly-owned lands that may be good candidates for TOD or some other higher/better use.The purpose of the original pilot project was to increase awareness of publicly owned parcel locations relative to Metro-area transit facilities and facilitate TOD analyses. While the current geographic extent of the data has been greatly expanded, the purpose remains the same; to raise awareness of publicly owned land for the highest & best use.For those with desktop GIS software, the Public Parcel shapefile and/or geodatabase can be downloaded here: https://gisdata.mn.gov/dataset/us-mn-state-metc-plan-public-parcels-metro-ctus

This statistic shows the availability of affordable housing units per 100 extremely low income renter households in the United States in 2017, by state. West Virginia had the second highest number of affordable housing units out of the whole country with ** available housing units per 100 ELI renter households.

Housing Index in the United States decreased to 434.40 points in May from 435.10 points in April of 2025. This dataset provides the latest reported value for - United States House Price Index MoM Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The HOME Investment Partnerships Program (HOME) provides formula grants to states and localities that communities use - often in partnership with local nonprofit groups - to fund a wide range of activities including building, buying, and/or rehabilitating affordable housing for rent or homeownership or providing direct rental assistance to low-income people. HOME is the largest federal block grant to state and local governments designed exclusively to create affordable housing for low-income households.Authorized under Title II of the Cranston-Gonzalez National Affordable Housing Act, the HOME Investment Partnership Program (HOME) is designed exclusively to create affordable housing for low-income households. Each year the HOME Program allocates approximately $2 billion to fund the development, purchase, or rehabilitation of affordable housing, and to provide direct rental assistance. To learn more about the HOME program visit: https://www.hud.gov/program_offices/comm_planning/home, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_HOME Grantee Areas

Date of Coverage: Q1 FY 2025