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.
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.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 15.98(USD Billion) |
MARKET SIZE 2024 | 17.03(USD Billion) |
MARKET SIZE 2032 | 28.3(USD Billion) |
SEGMENTS COVERED | Mortage Type ,Lender Type ,Purpose of Loan ,Applicant Age ,Property Type ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Rising Aging Population Low Interest Rates Increasing Home Equity Government Initiatives Technological Advancements |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Caliber 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 PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | 1 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) |
This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).
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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.
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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.
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.
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.
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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...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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。
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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...
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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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.