15 datasets found
  1. g

    Annual Housing Survey, 1979 [United States]: National Core File

    • datasearch.gesis.org
    Updated Aug 5, 2015
    + more versions
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    United States Department of Commerce. Bureau of the Census (2015). Annual Housing Survey, 1979 [United States]: National Core File [Dataset]. http://doi.org/10.3886/ICPSR07995
    Explore at:
    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    United States Department of Commerce. Bureau of the Census
    Area covered
    United States
    Description

    This data collection provides information on the characteristics of a national sample of housing units. Data include the year the structure was built, type and number of living quarters, presence of a garage, occupancy status, access, number of rooms and bedrooms, presence of commercial establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, types of heating fuel used, source of water, sewage disposal, and heating and air conditioning equipment. Information provided on housing expenses includes monthly mortgage or rent payments, cost of services such as utilities, garbage collection, and property insurance, and amount of real estate taxes paid in the previous year. Indicators of housing quality are also supplied, including presence of cracks or holes in walls, ceilings, or floors. In addition to housing characteristics, demographic data are provided for household members, such as age, sex, race, marital status, income, and relationship to head of household. Additional data are provided for the household head, including Hispanic origin, length of residence, and years of school completed.

  2. Breakdown of home loan borrowers in Japan 2025, by interest rate

    • statista.com
    Updated Dec 2, 2024
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    Statista Research Department (2024). Breakdown of home loan borrowers in Japan 2025, by interest rate [Dataset]. https://www.statista.com/topics/9164/mortgages-in-japan/
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    Dataset updated
    Dec 2, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Japan
    Description

    According to a survey conducted from April to May 2025, the largest share of home loan borrowers in Japan, around 45 percent, had a borrowing rate of over 0.5 to one percent per annum. According to the same survey, over 79 percent of home loan borrowers chose a variable rate housing loan.

  3. w

    Global Reverse Mortgage Services Market Research Report: By Mortage Type...

    • wiseguyreports.com
    Updated Aug 6, 2024
    + more versions
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Reverse Mortgage Services Market Research Report: By Mortage Type (Fixed Rate Reverse Mortgage, Adjustable Rate Reverse Mortgage), By Lender Type (Banks, Credit Unions, Mortgage Brokers, Institutional Investors), By Purpose of Loan (Home Renovations, Medical Expenses, Retirement Income Supplementation, Debt Consolidation), By Applicant Age (62-69, 70-79, 80+), By Property Type (Single-Family Homes, Condominiums, Townhouses, Manufactured Homes) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/reverse-mortgage-services-market
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    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 8, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202315.98(USD Billion)
    MARKET SIZE 202417.03(USD Billion)
    MARKET SIZE 203228.3(USD Billion)
    SEGMENTS COVEREDMortage Type ,Lender Type ,Purpose of Loan ,Applicant Age ,Property Type ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSRising Aging Population Low Interest Rates Increasing Home Equity Government Initiatives Technological Advancements
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDCaliber Home Loans ,JPMorgan Chase , ,Reverse Mortgage Funding ,Freedom Mortgage ,Wells Fargo ,Citi ,Movement Mortgage ,Bank of America ,American Advisors Group ,NewDay USA ,Guild Mortgage Company ,LoanDepot ,Quicken Loans ,Finance of America Reverse
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIES1 Growing Aging Population 2 Rising Home Equity Values 3 Low Interest Rates 4 Increasing Awareness 5 Government Support
    COMPOUND ANNUAL GROWTH RATE (CAGR) 6.55% (2025 - 2032)
  4. Canada Mortgage and Housing Corporation, conventional mortgage lending rate,...

    • www150.statcan.gc.ca
    • thelearningbarn.org
    • +4more
    Updated Jun 16, 2025
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    Government of Canada, Statistics Canada (2025). Canada Mortgage and Housing Corporation, conventional mortgage lending rate, 5-year term [Dataset]. http://doi.org/10.25318/3410014501-eng
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    Dataset updated
    Jun 16, 2025
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).

  5. T

    United States MBA 30-Yr Mortgage Rate

    • it.tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 9, 2025
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    TRADING ECONOMICS (2025). United States MBA 30-Yr Mortgage Rate [Dataset]. https://it.tradingeconomics.com/united-states/mortgage-rate
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jul 9, 2025
    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 5, 1990 - Jul 4, 2025
    Area covered
    Stati Uniti
    Description

    I tassi fissi dei mutui a 30 anni negli Stati Uniti hanno mediamente raggiunto il 6,77 percento nella settimana che terminava il 4 luglio 2025. Questa pagina fornisce il valore più recente riportato per il tasso di interesse del mutuo a 30 anni MBA negli Stati Uniti, oltre alle pubblicazioni precedenti, massimi e minimi storici, previsioni a breve termine e previsioni a lungo termine, calendario economico, consenso degli esperti e notizie.

  6. N

    Norway Lending Rate: Weighted Avg: Banks and Mortgage Companies (BM): New:...

    • ceicdata.com
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    CEICdata.com, Norway Lending Rate: Weighted Avg: Banks and Mortgage Companies (BM): New: Loans Secured on Dwellings: Households [Dataset]. https://www.ceicdata.com/en/norway/lending-rate/lending-rate-weighted-avg-banks-and-mortgage-companies-bm-new-loans-secured-on-dwellings-households
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jul 1, 2019 - Jun 1, 2020
    Area covered
    Norway
    Variables measured
    Lending Rate
    Description

    Norway Lending Rate: Weighted Avg: Banks and Mortgage Companies (BM): New: Loans Secured on Dwellings: Households data was reported at 1.800 % in Jun 2020. This records a decrease from the previous number of 1.880 % for May 2020. Norway Lending Rate: Weighted Avg: Banks and Mortgage Companies (BM): New: Loans Secured on Dwellings: Households data is updated monthly, averaging 2.550 % from Dec 2013 (Median) to Jun 2020, with 79 observations. The data reached an all-time high of 3.980 % in Dec 2013 and a record low of 1.800 % in Jun 2020. Norway Lending Rate: Weighted Avg: Banks and Mortgage Companies (BM): New: Loans Secured on Dwellings: Households data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.M002: Lending Rate.

  7. Homeownership rate in the U.S. 2023, by age

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Homeownership rate in the U.S. 2023, by age [Dataset]. https://www.statista.com/statistics/1036066/homeownership-rate-by-age-usa/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    The homeownership rate was the highest among Americans in their early 70s and the lowest among people in their early 20s in 2023. In that year, approximately ** percent of individuals aged 70 to 75 resided in a residence they owned, compared to approximately **** percent among individuals under the age of 25. On average, **** percent of Americans lived in an owner-occupied home. The homeownership rate was the highest in 2004 but has since declined.

  8. Property tenure distribution in England 1980-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Property tenure distribution in England 1980-2024 [Dataset]. https://www.statista.com/statistics/804446/property-tenure-distribution-in-the-united-kingdom/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom, England
    Description

    In 2024, approximately ** percent of all housing in England was owner-occupied. This share declined notably since the early 2000's, as house prices gradually grew and affordability declined. In 2021, mortgage interest rates soared, leading to even lower homebuyer sentiment.

  9. d

    SIA104 - Poverty and Deprivation Rates Before and After Rent and Mortgage...

    • datasalsa.com
    csv, json-stat, px +1
    Updated Mar 21, 2025
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    Central Statistics Office (2025). SIA104 - Poverty and Deprivation Rates Before and After Rent and Mortgage Interest [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=sia104-poverty-and-deprivation-rates-before-and-after-rent-and-mortgage-interest
    Explore at:
    px, json-stat, csv, xlsxAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jul 10, 2025
    Description

    SIA104 - Poverty and Deprivation Rates Before and After Rent and Mortgage Interest. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Poverty and Deprivation Rates Before and After Rent and Mortgage Interest...

  10. d

    SIA100 - Poverty and Deprivation Rates Before and After Rent and Mortgage...

    • datasalsa.com
    csv, json-stat, px +1
    Updated Mar 21, 2025
    + more versions
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    Central Statistics Office (2025). SIA100 - Poverty and Deprivation Rates Before and After Rent and Mortgage Interest [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=sia100-poverty-and-deprivation-rates-before-and-after-rent-and-mortgage-interest
    Explore at:
    xlsx, csv, json-stat, pxAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jul 10, 2025
    Description

    SIA100 - Poverty and Deprivation Rates Before and After Rent and Mortgage Interest. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Poverty and Deprivation Rates Before and After Rent and Mortgage Interest...

  11. d

    SIA106 - Poverty and Deprivation Rates Before and After Rent and Mortgage...

    • datasalsa.com
    csv, json-stat, px +1
    Updated Mar 21, 2025
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    Central Statistics Office (2025). SIA106 - Poverty and Deprivation Rates Before and After Rent and Mortgage Interest [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=sia106-poverty-and-deprivation-rates-before-and-after-rent-and-mortgage-interest
    Explore at:
    json-stat, csv, xlsx, pxAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jul 10, 2025
    Description

    SIA106 - Poverty and Deprivation Rates Before and After Rent and Mortgage Interest. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Poverty and Deprivation Rates Before and After Rent and Mortgage Interest...

  12. 挪威 贷款利率:加权平均:Banks and Mortgage Companies (BM):新:Loans Secured on...

    • ceicdata.com
    Updated May 15, 2018
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    CEICdata.com (2018). 挪威 贷款利率:加权平均:Banks and Mortgage Companies (BM):新:Loans Secured on Dwellings:家庭 [Dataset]. https://www.ceicdata.com/zh-hans/norway/lending-rate/lending-rate-weighted-avg-banks-and-mortgage-companies-bm-new-loans-secured-on-dwellings-households
    Explore at:
    Dataset updated
    May 15, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jul 1, 2019 - Jun 1, 2020
    Area covered
    挪威
    Variables measured
    Lending Rate
    Description

    贷款利率:加权平均:Banks and Mortgage Companies (BM):新:Loans Secured on Dwellings:家庭在06-01-2020达1.800%,相较于05-01-2020的1.880%有所下降。贷款利率:加权平均:Banks and Mortgage Companies (BM):新:Loans Secured on Dwellings:家庭数据按月更新,12-01-2013至06-01-2020期间平均值为2.550%,共79份观测结果。该数据的历史最高值出现于12-01-2013,达3.980%,而历史最低值则出现于06-01-2020,为1.800%。CEIC提供的贷款利率:加权平均:Banks and Mortgage Companies (BM):新:Loans Secured on Dwellings:家庭数据处于定期更新的状态,数据来源于Statistics Norway,数据归类于全球数据库的挪威 – 表 NO.M002:贷款利率。

  13. d

    SIA108 - Poverty and Deprivation Rates Before and After Rent and Mortgage...

    • datasalsa.com
    csv, json-stat, px +1
    Updated Mar 21, 2025
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    Central Statistics Office (2025). SIA108 - Poverty and Deprivation Rates Before and After Rent and Mortgage Interest [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=sia108-poverty-and-deprivation-rates-before-and-after-rent-and-mortgage-interest
    Explore at:
    csv, xlsx, px, json-statAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jun 16, 2025
    Description

    SIA108 - Poverty and Deprivation Rates Before and After Rent and Mortgage Interest. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Poverty and Deprivation Rates Before and After Rent and Mortgage Interest...

  14. d

    SIA103 - Poverty and Deprivation Rates Before and After Rent and Mortgage...

    • datasalsa.com
    csv, json-stat, px +1
    Updated Mar 22, 2025
    + more versions
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    Central Statistics Office (2025). SIA103 - Poverty and Deprivation Rates Before and After Rent and Mortgage Interest [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=sia103-poverty-and-deprivation-rates-before-and-after-rent-and-mortgage-interest
    Explore at:
    px, json-stat, csv, xlsxAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jun 4, 2025
    Description

    SIA103 - Poverty and Deprivation Rates Before and After Rent and Mortgage Interest. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Poverty and Deprivation Rates Before and After Rent and Mortgage Interest...

  15. d

    SONYMA Target Areas by Census Tract

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jan 3, 2025
    + more versions
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    data.ny.gov (2025). SONYMA Target Areas by Census Tract [Dataset]. https://catalog.data.gov/dataset/sonyma-target-areas-by-census-tract
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    Dataset updated
    Jan 3, 2025
    Dataset provided by
    data.ny.gov
    Description

    Listing of SONYMA target areas by US Census Bureau Census Tract or Block Numbering Area (BNA). The State of New York Mortgage Agency (SONYMA) targets specific areas designated as ‘areas of chronic economic distress’ for its homeownership lending programs. Each state designates ‘areas of chronic economic distress’ with the approval of the US Secretary of Housing and Urban Development (HUD). SONYMA identifies its target areas using US Census Bureau census tracts and block numbering areas. Both census tracts and block numbering areas subdivide individual counties. SONYMA also relates each of its single-family mortgages to a specific census tract or block numbering area. New York State identifies ‘areas of chronic economic distress’ using census tract numbers. 26 US Code § 143 (current through Pub. L. 114-38) defines the criteria that the Secretary of Housing and Urban Development uses in approving designations of ‘areas of chronic economic distress’ as: i) the condition of the housing stock, including the age of the housing and the number of abandoned and substandard residential units, (ii) the need of area residents for owner-financing under this section, as indicated by low per capita income, a high percentage of families in poverty, a high number of welfare recipients, and high unemployment rates, (iii) the potential for use of owner-financing under this section to improve housing conditions in the area, and (iv) the existence of a housing assistance plan which provides a displacement program and a public improvements and services program. The US Census Bureau’s decennial census last took place in 2010 and will take place again in 2020. While the state designates ‘areas of chronic economic distress,’ the US Department of Housing and Urban Development must approve the designation. The designation takes place after the decennial census.

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    Learn how you can add new datasets to our index.

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United States Department of Commerce. Bureau of the Census (2015). Annual Housing Survey, 1979 [United States]: National Core File [Dataset]. http://doi.org/10.3886/ICPSR07995

Annual Housing Survey, 1979 [United States]: National Core File

Archival Version

Explore at:
Dataset updated
Aug 5, 2015
Dataset provided by
da|ra (Registration agency for social science and economic data)
Authors
United States Department of Commerce. Bureau of the Census
Area covered
United States
Description

This data collection provides information on the characteristics of a national sample of housing units. Data include the year the structure was built, type and number of living quarters, presence of a garage, occupancy status, access, number of rooms and bedrooms, presence of commercial establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, types of heating fuel used, source of water, sewage disposal, and heating and air conditioning equipment. Information provided on housing expenses includes monthly mortgage or rent payments, cost of services such as utilities, garbage collection, and property insurance, and amount of real estate taxes paid in the previous year. Indicators of housing quality are also supplied, including presence of cracks or holes in walls, ceilings, or floors. In addition to housing characteristics, demographic data are provided for household members, such as age, sex, race, marital status, income, and relationship to head of household. Additional data are provided for the household head, including Hispanic origin, length of residence, and years of school completed.

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