76 datasets found
  1. French people's opinion on access to social housing in France 2019

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). French people's opinion on access to social housing in France 2019 [Dataset]. https://www.statista.com/statistics/1082375/opinion-evolution-access-social-housing-france/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 28, 2019 - Sep 3, 2019
    Area covered
    France
    Description

    This statistic shows the public opinion on the evolution of access to social housing in France in September 2019. At that time, ** percent of French tenants believed that access to social housing in their municipality hadn't improved. ** percent of people believed that the situation had stayed the same over the last few years.

  2. 2

    CORE

    • datacatalogue.ukdataservice.ac.uk
    Updated Jun 12, 2025
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    Ministry of Housing, Communities and Local Government (2025). CORE [Dataset]. http://doi.org/10.5255/UKDA-SN-9240-1
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    Dataset updated
    Jun 12, 2025
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Ministry of Housing, Communities and Local Government
    Area covered
    England
    Description
    The COntinuous REcording of Lettings and Sales (CORE) is a national information source that provides annual official statistics on new lettings and sales of social housing stock. All datasets are based on administrative data collected via the government's CORE system.
    • The CORE lettings data include information on the characteristics of both private registered providers and local authority new social housing tenants and the homes they rent. For each year, data is structured into four datasets based on type of letting (social rent general needs and supported needs, and affordable rent general needs and supported needs). It is a regulatory requirement for providers registered with the Homes and Communities Agency to supply the data. For those who are not registered, submissions are voluntary. Local authorities have participated in CORE since 2004-5 on a voluntary basis. Weighting is applied to adjust for non-response by local authorities for social rent datasets, and imputation is also carried out to address item-level non-response of key data on tenant characteristics for both local authorities and privately registered providers. The three datasets for affordable rent are not weighted or imputed.
    • The CORE sales data include information on sales of local authority dwellings and some summary details on sales of registered provider stock (previously known as Registered Social Landlords or housing associations). Collecting these data allows for a better understanding of the socio-economic and demographic make-up of affordable housing customers and local housing markets and products. The sales dataset is imputed, with more information on the imputations within the data dictionary.
    The CORE data are used by central government to inform national housing policy and by local government to inform their Strategic Housing Market Assessments. The data are also used by academics, researchers, charities and the wider public to understand social housing issues.

    Users should note that the Lettings and Sales data are now held in separate datasets at each access level (see below). Previously, they were held in combined studies, SNs 7603, 7604 and 7686, which have now been withdrawn.

    End User Licence, Special Licence and Secure Access datasets
    The CORE datasets are available at three access levels, depending on the level of detail in the data.

    • For the standard End User Licence (EUL) version (SNs 9237 and 9238), the geographic level of the data is set at Government Office Region (GOR). Letting and voiding dates are provided at month and year only; age variables are top-coded at 90 years; income, benefits, earnings, charge and shortfall variables are banded to disguise unique values; landlords are grouped into coded categories.
    • For the Special Licence access (SL) version (SNs 9239 and 9240), geographic level is set at Local Authority. The SL data have more restrictive access conditions than those made available under the standard EUL. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version.
    • For Secure Access (SNs 9241 and 9242), the full CORE datasets are available, with some key variables recoded. Prospective users of the Secure Access version will need to fulfil additional requirements, including completion of face-to-face training and agreement to further stringent access conditions.

    SN 9240: Continuous Recording of Social Housing Sales (CORE):

    This study contains the SL-level CORE Sales data only. The SL CORE Lettings data are held under SN 9239.

  3. Local authority housing statistics data returns for 2016 to 2017

    • gov.uk
    Updated Jun 19, 2018
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    Ministry of Housing, Communities and Local Government (2018). Local authority housing statistics data returns for 2016 to 2017 [Dataset]. https://www.gov.uk/government/statistical-data-sets/local-authority-housing-statistics-data-returns-for-2016-to-2017
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    Dataset updated
    Jun 19, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    Dataset of all the data supplied by each local authority and imputed figures used for national estimates.

    This file is no longer being updated to include any late revisions local authorities may have reported to the department. Please use instead the Local authority housing statistics open data file for the latest data.

    https://assets.publishing.service.gov.uk/media/60e5801f8fa8f50c7a1b9e9b/Local_Authority_Housing_Statistics_data_returns_2016_to_2017_final.xlsx">Local authority housing statistics data returns for 2016 to 2017

    MS Excel Spreadsheet, 1.42 MB

    This file may not be suitable for users of assistive technology.

    Request an accessible format.
    If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email alternativeformats@communities.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.
  4. Social lettings tables: 2011 to 2012

    • gov.uk
    Updated Dec 20, 2012
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    Ministry of Housing, Communities & Local Government (2018 to 2021) (2012). Social lettings tables: 2011 to 2012 [Dataset]. https://www.gov.uk/government/statistics/social-lettings-tables-2011-to-2012
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    Dataset updated
    Dec 20, 2012
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities & Local Government (2018 to 2021)
    Description

    These tables give information about the characteristics of households receiving general needs social lettings.

    Estimates cover the whole social housing sector, including both Private Registered Providers (housing associations) and local authorities. The figures are based on lettings information reported through the Continuous Recording of Lettings (CORE) system for 2011 to 2012 and the Local Authority Housing Statistics. More information on CORE can be found on the https://core.communities.gov.uk/">CORE website.

    Participation in CORE by local authorities is not yet complete and some local authorities do not yet provide CORE data, so the local authority figures have been adjusted to take account of missing data. This adjustment uses a method developed by the University of Cambridge to impute figures for local authorities that did not fully participate.

    For general needs social housing lettings, key findings include:

    • there were 266,000 general needs lettings across social housing in 2011 to 2012 - a 1% decrease from 269,000 in 2010 to 2011; this decrease has been caused by a decrease in the number of local authority lettings from 117,000 to 113,000 households, whilst the number of housing association lettings has increased from 151,000 to 153,000
    • the distribution of lettings by household type has remained similar over time; in 2011 to 2012 the proportion to older people (a household where either the tenant or their partner is aged 60 or over) was 11% of all general needs lettings, unchanged from 2010 to 2011
    • in 2011 to 2012, 95% of lettings to existing tenants and 91% of new lettings went to UK nationals
  5. i

    Grant Giving Statistics for Affordable Housing Access Inc

    • instrumentl.com
    Updated Apr 16, 2021
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    (2021). Grant Giving Statistics for Affordable Housing Access Inc [Dataset]. https://www.instrumentl.com/990-report/affordable-housing-access-inc
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    Dataset updated
    Apr 16, 2021
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of Affordable Housing Access Inc

  6. d

    Replication Data for: Does Race Affect Access to Government Services? An...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Levine Einstein, Katherine; Glick, David (2023). Replication Data for: Does Race Affect Access to Government Services? An Experiment Exploring Street-Level Bureaucrats and Access to Public Housing [Dataset]. http://doi.org/10.7910/DVN/1HOVTU
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Levine Einstein, Katherine; Glick, David
    Description

    While experimental studies of local election officials have found evidence of racial discrimination, we know little about whether these biases manifest in bureaucracies that provide access to valuable government programs and are less tied to politics. We address these issues in the context of affordable housing programs using a randomized field experiment. We explore responsiveness to putative white, black, and Hispanic requests for aid in the housing application process. In contrast to prior findings, public housing officials respond at equal rates to black and white email requests. We do, however, find limited evidence of responsiveness discrimination towards Hispanics. Moreover, we observe substantial differences in email tone. Hispanic housing applicants were twenty percentage points less likely to be greeted by name than were their black and white counterparts. This disparity in tone is somewhat more muted in more diverse locations, but it does not depend on whether a housing official is Hispanic.

  7. Access to affordable housing within the Nusantara area in Indonesia 2022, by...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Access to affordable housing within the Nusantara area in Indonesia 2022, by region [Dataset]. https://www.statista.com/statistics/1465941/indonesia-access-to-affordable-housing-in-nusantara-by-region/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Indonesia
    Description

    As of 2022, approximately ** percent of households in the Kutai Kartanegara regency, East Kalimantan, had access to adequate and affordable housing. This was slightly below the overall rate for the province, which reached over ** percent. The Indonesian government is currently developing the Capital City of Nusantara (Ibu Kota Nusantara/IKN), located in East Kalimantan, to replace Jakarta as the national capital. Nusantara spans across portions of North Penajam Paser and Kutai Kartanegara regencies, and its full development is aimed to be completed by 2045.

  8. Social housing lettings in England: April 2013 to March 2014

    • gov.uk
    Updated Jul 16, 2015
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    Ministry of Housing, Communities & Local Government (2018 to 2021) (2015). Social housing lettings in England: April 2013 to March 2014 [Dataset]. https://www.gov.uk/government/statistics/social-housing-lettings-in-england-april-2013-to-march-2014
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    Dataset updated
    Jul 16, 2015
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities & Local Government (2018 to 2021)
    Area covered
    England
    Description

    The statistical release provides information on lettings of social housing in England provided by local authorities and private registered providers.

    Information about the tenancy, the tenants and the property are collected each time there is a new letting. Lettings of general needs and supported social housing are collected, and, from 2012 to 2013, both local authorities and private registered providers also report their affordable rent lettings (private registered providers began reporting this in 2011 to 2012).

    All data are submitted through the online COntinuous REcording (CORE) system.

    Alongside this release we have published a quality report that summarises the key issues relating to the quality of the statistics.

  9. Live tables on affordable housing supply

    • gov.uk
    • s3.amazonaws.com
    Updated Nov 20, 2025
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    Ministry of Housing, Communities and Local Government (2025). Live tables on affordable housing supply [Dataset]. https://www.gov.uk/government/statistical-data-sets/live-tables-on-affordable-housing-supply
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    Dataset updated
    Nov 20, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    These tables are best understood in relation to the Affordable Housing supply statistics bulletin. These tables always reflect the latest data and revisions, which may not be included in the bulletins. Headline figures are presented in live table 1000.

    Affordable Housing supply

    https://assets.publishing.service.gov.uk/media/6911df33e9348ac8fb54f479/Live_Table_1000.ods">Table 1000: additional affordable homes provided by type of scheme, England

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">29.1 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

    https://assets.publishing.service.gov.uk/media/6911df7b663088df8f54f47b/Live_Tables_1006_to_1008_Completions.ods">Tables 1006 to 1008: additional affordable homes completions by tenure and local authority, England

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">325 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

  10. e

    Urban Planning - Attributions...

    • data.europa.eu
    csv, page web
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    Grand Poitiers Open Data, Urban Planning - Attributions... [Dataset]. https://data.europa.eu/data/datasets/58ef2ccaa3a7293d49c4e176/
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    page web, csv(38619)Available download formats
    Dataset authored and provided by
    Grand Poitiers Open Data
    License

    https://www.etalab.gouv.fr/licence-ouverte-open-licencehttps://www.etalab.gouv.fr/licence-ouverte-open-licence

    Description

    Allotments are recorded according to the date of entry into the premises of the new tenant.At 01/01/N+1 all allocations for year N are taken into account.

    The allocation periods correspond to the number of months between the date of submission of the application for social housing and the date of entry into the premises.

    Breakdown by type of request: social housing may be allocated to:

    • a transfer applicant, i.e. a household already renting social housing to which another housing is allocated;

    '- an external applicant, i.e. a household not already housed in the social park;

    '- an association that will offer this housing subletting to a household that can not access an autonomous housing without accompaniment.

    On average, the time to obtain housing is longer for a transfer applicant than for an external applicant. Indeed, among external applicants, there are households without housing that urgently need it. Households whose situation has changed and whose housing is no longer suitable can often obtain housing fairly quickly too. On the other hand, requests to change "comfort" (current housing adapted to the situation and resources, but want to change) take longer to succeed.

    Breakdown by type of dwelling: On average, the larger the dwellings, the longer the waiting times to access them. This is due to the supply structure (there are few large dwellings - T5 and above) and turnover rates (high for small dwellings, low for large dwellings).

  11. Social renters internet access in the United Kingdom (UK) in 2014, by age

    • statista.com
    Updated Apr 26, 2022
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    Statista (2022). Social renters internet access in the United Kingdom (UK) in 2014, by age [Dataset]. https://www.statista.com/statistics/389609/uk-social-housing-residents-internet-access-age/
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    Dataset updated
    Apr 26, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2014 - Jul 2014
    Area covered
    United Kingdom
    Description

    This statistic depicts the access to internet among the social renters residents in the United Kingdom (UK) as of 2014, listed for age groups. Among residents aged 18 to 44, approximately ** percent had opportunities to regularly use the internet. In comparison, ** percent of social renters aged 65 to 74 and over ** percent of those older than ** did not have an access to internet in 2014.

  12. e

    GUI61 - Respondents aged 25 years concerned over access to housing

    • data.europa.eu
    csv, json-stat, px +1
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    Central Statistics Office, GUI61 - Respondents aged 25 years concerned over access to housing [Dataset]. https://data.europa.eu/data/datasets/ced8ed07-bfa0-4afb-9a76-94bf33a7261f~~1?locale=en
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    csv, json-stat, xlsx, pxAvailable download formats
    Dataset authored and provided by
    Central Statistics Office
    Description

    Respondents aged 25 years concerned over access to housing

  13. d

    Percent of Households Burdened by Housing Costs Time Series

    • data.ore.dc.gov
    Updated Aug 20, 2024
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    City of Washington, DC (2024). Percent of Households Burdened by Housing Costs Time Series [Dataset]. https://data.ore.dc.gov/items/77614fc3961343738c2ad0e35bae1008
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    Dataset updated
    Aug 20, 2024
    Dataset authored and provided by
    City of Washington, DC
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    2020 data points are the average of 2019 and 2021 data points and are included solely to maintain chart continuity. The U.S. Census Bureau did not release 2020 ACS 1-year estimates due to COVID-19. These figures should not be interpreted as an actual estimate for 2020. Some racial and ethnic categories are suppressed to avoid misleading estimates when the relative standard error exceeds 30%.

    Data Source: American Community Survey (ACS) 1-Year Estimates

    Why This Matters Housing is a basic necessity, and affordable housing is essential for individuals and families to live and thrive in DC.The rising cost of housing threatens residents’ access to safe and stable housing as well as their ability to cover other essential expenses like food, transportation, and childcare.Racial segregation, housing discrimination, and racist urban renewal programs, among other policies and practices, have meant that Black residents and residents of color in the District disproportionately experience the effects of rapidly rising housing costs. The District's Response Leading the nation in policies and investments for low-income rental households. Target of 12,000 new affordable housing units by 2025. Steps taken to preserve and expand affordable housing include the Housing Production Trust Fund, the Affordable Housing Preservation Fund, and the Home Purchasing Assistance Program, among others.

  14. c

    Access to Housing 2020

    • data.charlottenc.gov
    Updated Jan 6, 2022
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    City of Charlotte (2022). Access to Housing 2020 [Dataset]. https://data.charlottenc.gov/datasets/access-to-housing-2020-2
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    Dataset updated
    Jan 6, 2022
    Dataset authored and provided by
    City of Charlotte
    Area covered
    Description

    The Access to Housing Opportunity index identifies areas where the housing stock does not provide opportunities for all residents to live. Housing Opportunity, for the purposes of this analysis, is defined as the ability for residents of all income, household compositions, and life stages to access housing options that their needs and economic conditions. Access to housing opportunity is analyzed using six measures: 1. Housing Unit Diversity 2. Housing Cost 3. Housing Size 4. Subsidized Housing 5. Tenure 6. Level of (Re)Investment. See EGF Framework Manual as part of the Comprehensive Plan for further information. https://www.cltfuture2040plan.com/manuals-and-metrics/equitable-growth-framework-manual-6

  15. D

    Affordable Housing Finance Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
    + more versions
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    Dataintelo (2025). Affordable Housing Finance Market Research Report 2033 [Dataset]. https://dataintelo.com/report/affordable-housing-finance-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Affordable Housing Finance Market Outlook



    According to our latest research, the global affordable housing finance market size reached USD 65.4 billion in 2024, with a robust trajectory fueled by the increasing demand for accessible homeownership solutions worldwide. The market is expected to expand at a CAGR of 8.2% from 2025 to 2033, resulting in a projected valuation of USD 126.7 billion by 2033. This impressive growth is primarily driven by rising urbanization, supportive government policies, and the persistent gap between housing demand and supply, particularly in emerging economies. As per our latest research, the sector’s resilience and adaptability are underpinned by evolving financial products, digital transformation, and a strong focus on social inclusion, making affordable housing finance a cornerstone for sustainable urban development.




    One of the primary growth factors in the affordable housing finance market is the increasing urban migration and the resultant pressure on urban housing infrastructure. Rapid urbanization, especially in developing economies such as India, China, Brazil, and several African nations, has led to a surge in demand for affordable housing solutions. Governments and private sector players are responding with innovative financing models that lower entry barriers for low- and middle-income families. Initiatives such as subsidized interest rates, public-private partnerships, and targeted lending programs have significantly expanded the reach of affordable housing finance, enabling millions to access formal housing markets. Furthermore, the rise of digital lending platforms has streamlined loan application and approval processes, making affordable housing finance more accessible and efficient for underserved populations.




    Another significant driver for the affordable housing finance market is the emergence of specialized housing finance companies and microfinance institutions. These providers have tailored their offerings to the unique needs of low-income borrowers, who often lack traditional credit histories or collateral. By leveraging alternative credit assessment tools and community-based lending models, these institutions have been able to extend credit to previously excluded segments. Additionally, the proliferation of fintech solutions has enabled more accurate risk assessment and faster disbursement of loans, further accelerating market growth. As competition intensifies, financial institutions are innovating with flexible repayment options, longer loan tenures, and bundled financial products to attract and retain customers, thereby fueling the expansion of the affordable housing finance ecosystem.




    Supportive government policies and regulatory frameworks have also played a pivotal role in shaping the affordable housing finance market. Many countries have introduced tax incentives, interest rate subsidies, and risk-sharing mechanisms to encourage lending to low-income homebuyers. For instance, the Pradhan Mantri Awas Yojana (PMAY) in India and the Low-Income Housing Tax Credit (LIHTC) program in the United States have been instrumental in driving affordable housing development and financing. International development agencies and multilateral institutions are also providing technical and financial assistance to strengthen housing finance infrastructure in emerging markets. These policy interventions, coupled with a growing recognition of housing as a fundamental human right, continue to create a favorable environment for the expansion of affordable housing finance globally.




    From a regional perspective, the Asia Pacific region dominates the affordable housing finance market, accounting for the largest share in 2024 due to its vast population base and rapid urbanization. Countries like India, China, Indonesia, and Vietnam are witnessing unprecedented demand for affordable housing, prompting both public and private sector initiatives to boost housing finance availability. North America and Europe, while more mature markets, are experiencing renewed interest in affordable housing finance due to rising housing costs and increasing income inequality. Meanwhile, Latin America and the Middle East & Africa regions are emerging as high-growth markets, supported by demographic trends and targeted policy interventions. The regional outlook underscores the global nature of the affordable housing challenge and the diverse strategies being employed to address it.



    Loan Type Analysis



    The affordable

  16. Mexico: share of population lacking housing services 2008-2022

    • statista.com
    Updated Oct 20, 2023
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    Statista (2023). Mexico: share of population lacking housing services 2008-2022 [Dataset]. https://www.statista.com/statistics/1042031/mexico-share-population-lack-access-housing-services/
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    Dataset updated
    Oct 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    The number of people considered socially vulnerable due to a lack of access to basic housing services in Mexico accounted for approximately 17.8 percent of the country's population in 2022. This represents an improvement when compared to the 19.6 percent of the Mexican population that did not have access to basic housing utilities in 2018.

  17. Housing Developers in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 25, 2024
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    IBISWorld (2024). Housing Developers in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/housing-developers-industry/
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    Dataset updated
    Aug 25, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Description

    Housing developers have navigated pronounced economic swings over the past five years, as borrowing environments and Federal Reserve rate policy have dictated industry growth and contraction. Early pandemic-era interest rate cuts and remote work fueled a boom in home building, especially in suburban and affordable regions, but subsequent rate hikes sharply reversed momentum. Developers enjoyed robust sales from projects initiated during the low-rate period, even as new housing starts declined under pressure from rising mortgage costs and weakening consumer demand. The struggle has been particularly acute for small and medium-sized housing developers, which continue to close their doors or merge as cost pressures mount and competition from large developers intensifies. Persistent labor shortages and escalating input costs, driven partly by tariffs, have prevented profit growth, boosting the market share and pricing power of prominent developers able to pass costs to buyers or access strategic partners. Overall, industry revenue has been increasing at a CAGR of 5.2% over the past five years to total an estimated $324.2 billion in 2025, including an estimated decrease of 0.7% in 2025. Single-family construction marked a bright spot in 2024, with leading developers like DR Horton capitalizing on demand for space and affordability. However, the pipeline for single-family projects has been hindered by high rates and tariff uncertainty that persisted throughout most of 2025. Multifamily development endured deeper contractions, particularly in 2023 and 2024, with vacancy rates and losses intensifying among even the largest developers before rebounding in 2025 as starts and demand recovered. Continued rate cuts by the Federal Reserve will set the stage for housing developers to regain growth momentum. Developers are poised to benefit from pent-up demand, housing shortages and renewed construction activity, particularly in the single-family segment, where affordability remains critical. However, rising material and labor costs will continue to pose operational challenges, leading developers to seek efficiencies or pass costs downstream. The expiration of federal green building credits in 2026 will prompt a rush to complete qualifying projects, but may curb longer-term investment in sustainable construction unless new incentives emerge. Expansions near newly announced manufacturing hubs are expanding, with developers acquiring land and prepping communities to meet workforce housing needs as the national focus on domestic manufacturing spurs regional population inflows and rising housing demand. Overall, industry revenue is forecast to climb at a CAGR of 1.8% to total an estimated $354.7 billion through the end of 2030.

  18. A

    Affordable Housing Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Feb 11, 2025
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    Pro Market Reports (2025). Affordable Housing Market Report [Dataset]. https://www.promarketreports.com/reports/affordable-housing-market-26535
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Affordable Housing Market Analysis The global affordable housing market is projected to reach $1,983.52 billion by 2033, exhibiting a CAGR of 4.71% from 2025 to 2033. The rising population, urbanization, affordability crisis, and supportive government policies are the primary drivers fueling market growth. The increasing demand for affordable single-family homes, multi-family units, and townhouses, coupled with the adoption of innovative construction methods like prefabrication, 3D printing, and sustainable construction, are key trends shaping the market. The market faces restraints such as escalating land and construction costs, regulatory challenges, and the shortage of skilled labor. Nevertheless, the emergence of crowdfunding platforms and non-profit organizations providing financial assistance, as well as government subsidies and tax incentives, are expected to mitigate these constraints. The market is segmented based on housing type, funding source, construction method, and target demographics. D.R. Horton, Taylor Morrison, PulteGroup, Zillow, Hovnanian Enterprises, and Lennar Corporation are notable companies in the global affordable housing market, with operations in key regions like North America, Europe, and Asia Pacific. Recent developments include: Recent developments in the Affordable Housing Market have highlighted the urgent need for innovative housing solutions as governments and organizations strive to address the growing housing crisis exacerbated by economic challenges and population growth. Various nations are prioritizing policies that encourage public-private partnerships to stimulate investment in affordable housing initiatives. Additionally, the integration of sustainable building practices and smart technologies is gaining traction as stakeholders aim to improve energy efficiency while reducing construction costs. Recent collaborations among international entities and local governments focus on leveraging funding for housing projects, particularly in urban areas where demand is surging. Moreover, rising material costs and labor shortages are prompting stakeholders to explore alternative building materials and methods, including modular construction and 3D printing, to streamline processes. These trends underscore a collective commitment to creating equitable housing opportunities while navigating the complexities of market dynamics, aiming for significant progress by 2032. Overall, this evolving landscape reflects a concerted effort to promote affordability, sustainability, and accessibility in housing worldwide.. Key drivers for this market are: Green building technologies adoption Public-private partnerships expansion Innovative financing solutions development Urban regeneration projects implementation Digital platforms for housing access. Potential restraints include: rising urbanization, government initiatives; increasing housing demand; socioeconomic disparities; affordable financing options.

  19. Housing Affordability Data System (HADS)

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Mar 1, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). Housing Affordability Data System (HADS) [Dataset]. https://catalog.data.gov/dataset/housing-affordability-data-system-hads
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    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.

  20. House-price-to-income ratio in selected countries worldwide 2024

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). House-price-to-income ratio in selected countries worldwide 2024 [Dataset]. https://www.statista.com/statistics/237529/price-to-income-ratio-of-housing-worldwide/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

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Statista (2025). French people's opinion on access to social housing in France 2019 [Dataset]. https://www.statista.com/statistics/1082375/opinion-evolution-access-social-housing-france/
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French people's opinion on access to social housing in France 2019

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Dataset updated
Nov 29, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Aug 28, 2019 - Sep 3, 2019
Area covered
France
Description

This statistic shows the public opinion on the evolution of access to social housing in France in September 2019. At that time, ** percent of French tenants believed that access to social housing in their municipality hadn't improved. ** percent of people believed that the situation had stayed the same over the last few years.

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