37 datasets found
  1. d

    Total and Affordable Housing Units

    • catalog.data.gov
    • data.lacity.org
    Updated Sep 14, 2025
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    data.lacity.org (2025). Total and Affordable Housing Units [Dataset]. https://catalog.data.gov/dataset/total-and-affordable-housing-units
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    Dataset updated
    Sep 14, 2025
    Dataset provided by
    data.lacity.org
    Description

    In October 2015, Mayor Garcetti released Executive Directive 13, Support for Affordable Housing (ED 13). ED 13 is a “Back to Basics” operational directive that helps streamline the development of critical new housing developments that address our housing shortage. This dataset tracks the City's progress towards the goals outlined in the directive: (1) Permitting 100,000 new units from the start of Mayor Garcetti's administration through the end of fiscal year 2021, and (2) Building or preserving 15,000 affordable housing units for low-income households in this same time period.

  2. Housing shortage in Germany 2016-2023, by federal state

    • statista.com
    Updated Feb 21, 2025
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    Statista (2025). Housing shortage in Germany 2016-2023, by federal state [Dataset]. https://www.statista.com/statistics/1497056/housing-shortage-in-germany-by-state/
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    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    In 2023, the two largest cities in Germany, Berlin and Hamburg, had a housing shortage. That means that there were less housing units added to the stock than new households formed in those city-states. The southern states of Bavaria and Baden-Württemberg had the largest housing shortage between 2021 and 2023.

  3. e

    Affordable Housing Open Data

    • data.europa.eu
    Updated Mar 15, 2022
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    Greater London Authority (2022). Affordable Housing Open Data [Dataset]. https://data.europa.eu/data/datasets/affordable-housing-open-data~~1?locale=lt
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    Dataset updated
    Mar 15, 2022
    Dataset authored and provided by
    Greater London Authority
    Description

    Building affordable and council homes is a priority for the Mayor in tackling London's housing crisis and a key component of the London Housing Strategy. The GLA Housing team monitor a range of housing statistics produced by the Department for Levelling Up, Housing and Communities (DLUHC), and this spreadsheet contains a section from the Affordable Housing Open Data. This data has been used to measure the number of affordable and council homes built in London since 2016/17 and includes all affordable homes built, including those which did not receive funding from the GLA.

    This dataset does not incorporate DLUHC data for 2021/22 or GLA data for 2022/23.

  4. Housing Crisis in Australia

    • kaggle.com
    zip
    Updated Aug 10, 2021
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    Farai Donhwe (2021). Housing Crisis in Australia [Dataset]. https://www.kaggle.com/faraidonhwe/housing-crisis-in-australia
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    zip(3327363 bytes)Available download formats
    Dataset updated
    Aug 10, 2021
    Authors
    Farai Donhwe
    Area covered
    Australia
    Description

    This information was complied from the Australian Bureau of Statistics in Partial fullfilment of Coursework for the Master of Data Science taught at UNSW

    Household income and wealth Australia, Building Activity Australia, Affordable Housing Database, National and Regional House Price Indices, Population Projections, Lending Indicators

    Household income and wealth Australia ->https://www.abs.gov.au/statistics/economy/finance/household-income-and-wealth-australia/latest-release, Affordable Housing Database ->http://www.oecd.org/social/affordable-housing-database.htm, National and Regional House Price Indices ->https://stats.oecd.org/Index.aspx?DataSetCode=RHPI_TARGET, Population Projections ->https://stats.oecd.org/Index.aspx?DataSetCode=POPPROJ, Lending Indicators ->https://www.abs.gov.au/statistics/economy/finance/lending-indicators/apr-2021

  5. F

    Existing Home Sales: Housing Inventory

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
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    (2025). Existing Home Sales: Housing Inventory [Dataset]. https://fred.stlouisfed.org/series/HOSINVUSM495N
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    jsonAvailable download formats
    Dataset updated
    Nov 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Existing Home Sales: Housing Inventory (HOSINVUSM495N) from Oct 2024 to Oct 2025 about inventories, sales, housing, and USA.

  6. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
    + more versions
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
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    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

  7. l

    Housing-NET

    • data.lacounty.gov
    Updated Dec 9, 2024
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    County of Los Angeles (2024). Housing-NET [Dataset]. https://data.lacounty.gov/datasets/housing-net-3
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    Dataset updated
    Dec 9, 2024
    Dataset authored and provided by
    County of Los Angeles
    Description

    This Web App shows basic information about layers needed for managing data requests related to SB-330 for the unincorporated areas of Los Angeles County, and is called Housing-NET. This Web App shows the following information with hyperlinks to relevant documents:Last Updated April 2025 (Filter applied to Historic Resources layer - was previously showing community survey areas and 'ineligible for nomination' polygons)AboutThe Housing Crisis Act of 2019 is a bill (SB 330) that became effective on January 1, 2020. The bill provides eligible housing development projects streamlined application processing and vesting status when a Preliminary Application is filed. Vesting means a housing development project shall be subject only to the ordinances, policies, and standards adopted and in effect when a Preliminary Application, including all of the information required by Government Code Section 65941.1 is submitted in full. These map layers are provided to help in completing the Preliminary Application form for Los Angeles County Unincorporated Communities. UPDATE HISTORY04/01/2025 - Migrated to Experience BuilderLAYER BACKGROUND INFORMATION Affected Counties (California Department of Housing and Community Development) defined as a Census Designated Place that is wholly within the boundaries of an urbanized area). Based on HCD’s determination, 141 CDPs in 22 counties are identified as affected by the provisions of SB 330.Affected Counties (PDF) A very high fire hazard severity zone (As determined by the Department of Forestry and Fire Protection pursuant to Section 51178)Wetlands (As defined in the United States Fish and Wildlife Service Manual, Part 660 FW 2 (June 21, 1993)).A hazardous waste site (Listed pursuant to Section 65962.5 or a hazardous waste site designated by the Department of Toxic Substances Control pursuant to Section 25356 of the Health and Safety Code).FEMA Flood Zoned – 100 Year Flood [A special flood hazard area subject to inundation by the 1 percent annual chance flood (100-year flood) as determined by the Federal Emergency Management Agency in any official maps published by the Federal Emergency Management Agency].A delineated earthquake fault zone (As determined by the State Geologist in any official maps published by the State Geologist)A stream or other resource that may be subject to a stream bed alteration agreement (Pursuant to Chapter 6, commencing with Section 1600, of Division 2 of the Fish and Game Code)Known Historic and Cultural Resources (Resources listed in unincorporated LA County, California Office of Historic Preservation, National Register of Historic Places)Coastal ZoneLand Use General Plan: Land Use Policy as created by the Los Angeles County General Plan 2035, which provides the policy framework for how and where the unincorporated County will grow through the year 2035. For more information about the General Plan, please click here.Land Use Community/Area Plan: Land Use Policy as created by the various Area / Community / Coastal / Neighborhood Plans in the unincorporated County. For more information about the various plans, please click here. Zoning: For complete information, see Title 22 (Planning and Zoning) of the Los Angeles County Code.For projects in the Coastal Zone OnlyWetlands in the Coastal Zone (As defined in subdivision (b) of Section 13577 of Title 14 of the California Code of Regulations).Environmentally sensitive habitat areas (As defined in Section 30240 of the Public Resources Code).Tsunami run-up zone: Area modeled to be inundated by a tsunami.Additional LayersHousing Element (2021-2029) – Sites Inventory: This layer identifies parcels that are included in the Sites Inventory of the Revised County of Los Angeles Housing Element (2021-2029). The Sites Inventory is comprised of vacant and underutilized sites within unincorporated Los Angeles County that are zoned at appropriate densities and development standards to facilitate housing development during the 2021-2029 Housing Element planning period. For more information about the Sites Inventory and the site selection methodology, please see the Revised County of Los Angeles Housing Element (2021-2029).Housing Element (2021-2029) – Rezoning: This layer identifies parcels that are included in the Rezoning Program of the Revised County of Los Angeles Housing Element (2021-2029). Unincorporated Los Angeles County has an assigned Regional Housing Needs Allocation (RHNA) of 90,052 units for the 2021-2029 Housing Element planning period. For more information about the Rezoning Program and the site selection methodology, please see the Revised County of Los Angeles Housing Element (2021-2029).

  8. Housing costs as percentage of household income in New York City 2021

    • statista.com
    Updated Sep 15, 2022
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    Statista (2022). Housing costs as percentage of household income in New York City 2021 [Dataset]. https://www.statista.com/statistics/1235458/housing-costs-percentage-share-of-income-in-new-york-city-usa/
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    Dataset updated
    Sep 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    New York
    Description

    Out of a total of *** million housing units in New York City in 2021, approximately ******* homes had housing costs between ** and ** percent of the household budget. New York City is notoriously known for its shortage of affordable housing: Overall, for a large percentage of New York City residents, housing costs exceeded ** percent.

  9. Number of home sales in the U.S. 2014-2024 with forecast until 2026

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Number of home sales in the U.S. 2014-2024 with forecast until 2026 [Dataset]. https://www.statista.com/statistics/275156/total-home-sales-in-the-united-states-from-2009/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of home sales in the United States peaked in 2021 at almost ************* after steadily rising since 2018. Nevertheless, the market contracted in the following year, with transaction volumes falling to ***********. Home sales remained muted in 2024, with a mild increase expected in 2025 and 2026. A major factor driving this trend is the unprecedented increase in mortgage interest rates due to high inflation. How have U.S. home prices developed over time? The average sales price of new homes has also been rising since 2011. Buyer confidence seems to have recovered after the property crash, which has increased demand for homes and also the prices sellers are demanding for homes. At the same time, the affordability of U.S. homes has decreased. Both the number of existing and newly built homes sold has declined since the housing market boom during the coronavirus pandemic. Challenges in housing supply The number of housing units in the U.S. rose steadily between 1975 and 2005 but has remained fairly stable since then. Construction increased notably in the 1990s and early 2000s, with the number of construction starts steadily rising, before plummeting amid the infamous housing market crash. Housing starts slowly started to pick up in 2011, mirroring the economic recovery. In 2022, the supply of newly built homes plummeted again, as supply chain challenges following the COVID-19 pandemic and tariffs on essential construction materials such as steel and lumber led to prices soaring.

  10. d

    Housing insecurity in Alaska, 2020-ongoing

    • search.dataone.org
    • arcticdata.io
    Updated May 23, 2023
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    Lisa D. McNair; Todd Nicewonger; Stacey Fritz (2023). Housing insecurity in Alaska, 2020-ongoing [Dataset]. http://doi.org/10.18739/A2BK16R1B
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    Dataset updated
    May 23, 2023
    Dataset provided by
    Arctic Data Center
    Authors
    Lisa D. McNair; Todd Nicewonger; Stacey Fritz
    Time period covered
    Jul 16, 2020 - Sep 25, 2020
    Area covered
    Description

    This study initiated an exploration into how community members, specialists in housing issues, and social scientists might collaborate to address homelessness in Alaska. Through interviews and participant observation of planning meetings and related activities, the researchers are gathering insights from design experts, community organizers, and experts working on urban-rural homelessness in Alaska. This includes gathering information about cold weather design processes and issues facing urban-rural homelessness in Alaska, as well as the identification of possible research questions that can inform the development of a grant application for a multi-year research study. The study includes in-person as well as virtual research activities. Because of geographic distances, the majority of initial research activities were conducted virtually, but in-person field site visits began to take place June 15, 2021, and subsequent trips have taken place from August 2021-onward. These research trips involve site visits, participation in meetings, and in-person interviews when possible. Phase 1: 24 initial interviews were conducted with a range of stakeholders about housing insecurity in Alaska and the impacts of the COVID-19 pandemic. Includes interviewees from remote villages, from the Association of Alaskan Housing Authorities (AAHA), homeless advocates, designers, social scientists, engineers, and builders. Topics included myths about homelessness, homeless versus houseless terminology, research organizations, policies, impacts of pandemic, housing needs, and contrasting strategies. Analysis and synthesis with subsequent data is ongoing. 01: policy 02: interview with researcher 03: homelessness - Anchorage - rural communities - data sharing 04: design in rural communities 05: housing shortages in rural communities 06: technical issues in housing - collaborating with rural communities 07: homeless community in Fairbanks 08: history of Cold Climate Housing Research Center 09: design - homelessness - Anchorage 10: homelessness - rural/hub/urban - need for housing design repository 11: homelessness - Nome - Savoonga - designers need to visit villages 12: reverse interview - designer interviews researchers 13: homelessness - Anchorage - Bethel - housing costs 14: homelessness - rural/hub/urban spectrum - subsistence - houseless term 15: homelessness data and Bethel - impacts of pandemic - myths 16: homelessness data and Bethel - impacts of pandemic 17: ISERC (Integrated Security Education and Research Center) research 18: homelessness data and Bethel - CARES Act 19: homelessness data (gaps) and Bethel - CARES Act 20: homelessness data and Bethel 21: designer - public awareness and museum exhibits 22: veterans and community organizer 23: AAHA staff member 24: homelessness - Fairbanks - pandemic impacts on rescue missions Phase 2: 49 additional interviews were conducted with support from NSF funding (NSF 2103356: RAPID: COVID-19, Remote Ethnography, and the Rural Alaskan Housing Crisis). A meta-data description of the participants and topics are attached ('RAPID_interview_list_Descriptions').

  11. Housing shortage in Canada 2016-2022, by metropolitan areas

    • statista.com
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    Statista, Housing shortage in Canada 2016-2022, by metropolitan areas [Dataset]. https://www.statista.com/statistics/1496569/housing-shortage-in-canada-by-metro-areas/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The metropolitan area of Toronto had *** of the largest housing shortages between 2016 and 2022. Just in 2022, there were ******* housing completions less than new families were formed or registered in the Toronto. Meanwhile, the metro area of the city of Quebec saw more housing completions than families throughout that period, with the exception of 2021.

  12. d

    Responding to the housing crisis in the Arctic: A transdisciplinary approach...

    • dataone.org
    • arcticdata.io
    • +1more
    Updated Jun 18, 2024
    + more versions
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    Cristina Poleacovschi; Jessica Taylor (2024). Responding to the housing crisis in the Arctic: A transdisciplinary approach across physical, natural, and social systems, Unalakleet-Alaska, May to August 2021. [Dataset]. http://doi.org/10.18739/A2BG2HC3F
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    Dataset updated
    Jun 18, 2024
    Dataset provided by
    Arctic Data Center
    Authors
    Cristina Poleacovschi; Jessica Taylor
    Time period covered
    May 1, 2021 - Aug 31, 2021
    Area covered
    Description

    This dataset contains de-identified transcripts of interviews conducted in Unalakleet, Alaska in from May to August 2021. It does not contain identifiable information of participants. The dataset contains information on personal housing challenges, community housing concerns, preferences for future housing design and construction and climate change impacts. This dataset provides Alaska Native community perspectives regarding housing challenges and solutions using a community-based participatory research approach.

  13. a

    Keys to the Valley

    • new-hampshire-geodata-portal-1-nhgranit.hub.arcgis.com
    Updated Sep 4, 2019
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    Upper Valley Lake Sunapee Regional Planning Commission (2019). Keys to the Valley [Dataset]. https://new-hampshire-geodata-portal-1-nhgranit.hub.arcgis.com/content/7701679796374f94b93be3ffe31104f1
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    Dataset updated
    Sep 4, 2019
    Dataset authored and provided by
    Upper Valley Lake Sunapee Regional Planning Commission
    Description

    View, interact and share data from the Keys to the Valley initiative. Our region’s economic well-being and quality of life depends on us all rising to the challenge of the housing crisis. For the Regional Planning Commissions (MARC, TRORC, and UVLSRPC) that means Keys to the Valley. This initiative seeks to inform and focus the rising housing efforts, in the Upper Valley and its neighboring communities, with an action plan, toolbox of solutions & data, and honest conversations.The Keys to the Valley project documents our need for homes across a bi-state, 67-town region, and presents a roadmap for tackling this crisis at the local, regional, and statewide level. The scale of this challenge calls for both immediate action as well as further study and conversations.The Keys to the Valley Initiative was undertaken by three regional planning commissions – the Upper Valley Lake Sunapee Regional Planning Commission of New Hampshire, and the Two Rivers-Ottauquechee Regional and Mount Ascutney Regional Commissions of Vermont. The three commissions, called the “Tri-Commission”, cover 67 communities on both sides of the Connecticut River of the greater Upper Valley.For more information on Keys to the ValleyProject findings first launched in Spring 2021

  14. Average price per square foot in new single-family homes U.S. 2000-2024

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Average price per square foot in new single-family homes U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/682549/average-price-per-square-foot-in-new-single-family-houses-usa/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting ****** U.S. dollars per square foot in 2024. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

  15. a

    Responding to the housing crisis in the Arctic: A transdisciplinary approach...

    • arcticdata.io
    Updated Dec 2, 2023
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    Cristina Poleacovschi; Jessica Taylor (2023). Responding to the housing crisis in the Arctic: A transdisciplinary approach across physical, natural, and social systems, Organizational surveys - Alaska, Fall 2020 to Spring 2021. [Dataset]. http://doi.org/10.18739/A27S7HT8R
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    Dataset updated
    Dec 2, 2023
    Dataset provided by
    Arctic Data Center
    Authors
    Cristina Poleacovschi; Jessica Taylor
    Time period covered
    Jan 1, 2020 - Jan 1, 2021
    Area covered
    Variables measured
    Q1, Q3, Q5, Q7, Q10, Q14, Q15, Q18, Q19, Q20, and 298 more
    Description

    This dataset contains de-identified survey data from 26 organizations and 36 people involved in housing services and projects in rural Alaska. These organizations included state and federal government organizations (9 organizations), regional housing authorities (4 organizations), and non-governmental organizations (13 organizations). The file contains questions and data on organizations’ ability to enact adaptation of housing, frequency of inter-organizational communication, and organizational attributes. The data was collected from Fall 2020 to Spring 2021. This study aims to understand the role of organizations in housing in rural Alaska. Through surveys with stakeholders from government organizations, non-profits, and professional firms, this study will provide a deeper understanding of housing concerns, collaboration between organizations and participatory practices of organizations with community-level stakeholders.

  16. a

    Responding to the housing crisis in the Arctic: A transdisciplinary approach...

    • arcticdata.io
    Updated Dec 2, 2023
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    Kristen Cetin; Maria Milan (2023). Responding to the housing crisis in the Arctic: A transdisciplinary approach across physical, natural, and social systems, Unalakleet-Alaska, Energy Assessments May to August 2021. [Dataset]. http://doi.org/10.18739/A2CJ87N2H
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    Dataset updated
    Dec 2, 2023
    Dataset provided by
    Arctic Data Center
    Authors
    Kristen Cetin; Maria Milan
    Time period covered
    Jan 1, 2021
    Area covered
    Variables measured
    ID, TV, Fans, Note, Size, Type, Color, Lamps, Notes, Other, and 115 more
    Description

    This dataset contains de-identified data collected during the energy assessments conducted in Unalakleet, Alaska in from May to August 2021. It does not contain identifiable information of participants. The datasets are divided by type of housing characteristics analyzed. contains information on personal housing challenges, community housing concerns, preferences for future housing design and construction and climate change impacts. This dataset provides Alaska Native community perspectives regarding housing challenges and solutions using a community-based participatory research approach.

  17. G

    Germany Prefabricated Buildings Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 21, 2025
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    Market Report Analytics (2025). Germany Prefabricated Buildings Market Report [Dataset]. https://www.marketreportanalytics.com/reports/germany-prefabricated-buildings-market-91846
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 21, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    Discover the booming German prefabricated buildings market! This comprehensive analysis reveals key trends, drivers, and restraints impacting growth through 2033, featuring leading companies and market segmentation. Learn about the CAGR, market size projections, and future opportunities in this dynamic sector. Recent developments include: In November 2021, Daiwa House Modular Europe and real estate investor Capital Bay announced plans to jointly open a mega factory to build prefabricated modular homes in Germany. The factory, which will be constructed to the east of Berlin, will help to alleviate Europe's housing shortage by building tens of thousands of modular homes., In July 2021- Construction began on Traumhaus Funari, a 2,700 sq. m redevelopment of a former US army barracks by Dutch architect MVRDV in Mannheim, southwest Germany.MVRDV is working with prefabricated housing firm Traumhaus on creating variations of its house designs. These will offer residents a choice of materials, sizes, and interior layouts. Traumhaus Funari's first phase will include 124 single-family homes and 26 apartments.. Notable trends are: Increasing Labor Cost.

  18. Affordability of homes Canada 2018-2025, by property type

    • statista.com
    Updated Sep 4, 2025
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    Statista Research Department (2025). Affordability of homes Canada 2018-2025, by property type [Dataset]. https://www.statista.com/topics/3139/residential-housing-in-canada/
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    Dataset updated
    Sep 4, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Canada
    Description

    Home affordability has worsened substantially in Canada since 2021. In the first quarter of 2025, the monthly single-family mortgage payment amounted to approximately 61.7 percent of a household's income, on average. In 2021, when affordability had improved slightly, the average mortgage payment constituted 46.5 percent of a household's income.

  19. T

    Canada Average House Prices

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Canada Average House Prices [Dataset]. https://tradingeconomics.com/canada/average-house-prices
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    json, csv, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 2005 - Oct 31, 2025
    Area covered
    Canada
    Description

    Average House Prices in Canada increased to 688800 CAD in October from 687600 CAD in September of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

  20. Foreclosure rate U.S. 2005-2024

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Foreclosure rate U.S. 2005-2024 [Dataset]. https://www.statista.com/statistics/798766/foreclosure-rate-usa/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The foreclosure rate in the United States has experienced significant fluctuations over the past two decades, reaching its peak in 2010 at **** percent following the financial crisis. Since then, the rate has steadily declined, with a notable drop to **** percent in 2021 due to government interventions during the COVID-19 pandemic. In 2024, the rate stood slightly higher at **** percent but remained well below historical averages, indicating a relatively stable housing market. Impact of economic conditions on foreclosures The foreclosure rate is closely tied to broader economic trends and housing market conditions. During the aftermath of the 2008 financial crisis, the share of non-performing mortgage loans climbed significantly, with loans 90 to 180 days past due reaching *** percent. Since then, the share of seriously delinquent loans has dropped notably, demonstrating a substantial improvement in mortgage performance. Among other things, the improved mortgage performance has to do with changes in the mortgage approval process. Homebuyers are subject to much stricter lending standards, such as higher credit score requirements. These changes ensure that borrowers can meet their payment obligations and are at a lower risk of defaulting and losing their home. Challenges for potential homebuyers Despite the low foreclosure rates, potential homebuyers face significant challenges in the current market. Homebuyer sentiment worsened substantially in 2021 and remained low across all age groups through 2024, with the 45 to 64 age group expressing the most negative outlook. Factors contributing to this sentiment include high housing costs and various financial obligations. For instance, in 2023, ** percent of non-homeowners reported that student loan expenses hindered their ability to save for a down payment.

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data.lacity.org (2025). Total and Affordable Housing Units [Dataset]. https://catalog.data.gov/dataset/total-and-affordable-housing-units

Total and Affordable Housing Units

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 14, 2025
Dataset provided by
data.lacity.org
Description

In October 2015, Mayor Garcetti released Executive Directive 13, Support for Affordable Housing (ED 13). ED 13 is a “Back to Basics” operational directive that helps streamline the development of critical new housing developments that address our housing shortage. This dataset tracks the City's progress towards the goals outlined in the directive: (1) Permitting 100,000 new units from the start of Mayor Garcetti's administration through the end of fiscal year 2021, and (2) Building or preserving 15,000 affordable housing units for low-income households in this same time period.

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