9 datasets found
  1. C

    China CN: Lending Rate: Weighted Average: Individual Housing Loan

    • ceicdata.com
    Updated Mar 26, 2025
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    CEICdata.com (2025). China CN: Lending Rate: Weighted Average: Individual Housing Loan [Dataset]. https://www.ceicdata.com/en/china/rediscount-and-lending-rate/cn-lending-rate-weighted-average-individual-housing-loan
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    Dataset updated
    Mar 26, 2025
    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
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Lending Rate
    Description

    China Lending Rate: Weighted Average: Individual Housing Loan data was reported at 3.090 % pa in Dec 2024. This records a decrease from the previous number of 3.310 % pa for Sep 2024. China Lending Rate: Weighted Average: Individual Housing Loan data is updated quarterly, averaging 5.395 % pa from Mar 2009 (Median) to Dec 2024, with 64 observations. The data reached an all-time high of 7.620 % pa in Dec 2011 and a record low of 3.090 % pa in Dec 2024. China Lending Rate: Weighted Average: Individual Housing Loan data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MA: Rediscount and Lending Rate.

  2. Mortgage Rates Across Hampden County, Massachusetts

    • ownwell.com
    Updated Mar 1, 2025
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    Ownwell (2025). Mortgage Rates Across Hampden County, Massachusetts [Dataset]. https://www.ownwell.com/trends/massachusetts/hampden-county
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    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Ownwell
    License

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

    Area covered
    Massachusetts, Hampden County
    Description

    The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of mortgage rates for each city in Hampden County, Massachusetts. It's important to understand that mortgage rates can vary greatly and can change yearly.

  3. FMHPI house price index change 1990-2024

    • statista.com
    Updated May 27, 2025
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    Statista (2025). FMHPI house price index change 1990-2024 [Dataset]. https://www.statista.com/statistics/275159/freddie-mac-house-price-index-from-2009/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. housing market has slowed, after ** consecutive years of rising home prices. In 2021, house prices surged by an unprecedented ** percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by *** percent. That was lower than the long-term average of *** percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of **** percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over ******* U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

  4. Annual home price appreciation in the U.S. 2025, by state

    • statista.com
    Updated Aug 11, 2025
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    Statista (2025). Annual home price appreciation in the U.S. 2025, by state [Dataset]. https://www.statista.com/statistics/1240802/annual-home-price-appreciation-by-state-usa/
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    Dataset updated
    Aug 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    House prices grew year-on-year in most states in the U.S. in the first quarter of 2025. Hawaii was the only exception, with a decline of **** percent. The annual appreciation for single-family housing in the U.S. was **** percent, while in Rhode Island—the state where homes appreciated the most—the increase was ******percent. How have home prices developed in recent years? House price growth in the U.S. has been going strong for years. In 2025, the median sales price of a single-family home exceeded ******* U.S. dollars, up from ******* U.S. dollars five years ago. One of the factors driving house prices was the cost of credit. The record-low federal funds effective rate allowed mortgage lenders to set mortgage interest rates as low as *** percent. With interest rates on the rise, home buying has also slowed, causing fluctuations in house prices. Why are house prices growing? Many markets in the U.S. are overheated because supply has not been able to keep up with demand. How many homes enter the housing market depends on the construction output, whereas the availability of existing homes for purchase depends on many other factors, such as the willingness of owners to sell. Furthermore, growing investor appetite in the housing sector means that prospective homebuyers have some extra competition to worry about. In certain metros, for example, the share of homes bought by investors exceeded ** percent in 2025.

  5. C

    China CN: Nominal Lending Rate: Individual Housing Provident Fund Loan: Over...

    • ceicdata.com
    Updated Mar 26, 2025
    + more versions
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    CEICdata.com (2025). China CN: Nominal Lending Rate: Individual Housing Provident Fund Loan: Over 5 Year [Dataset]. https://www.ceicdata.com/en/china/rediscount-and-lending-rate/cn-nominal-lending-rate-individual-housing-provident-fund-loan-over-5-year
    Explore at:
    Dataset updated
    Mar 26, 2025
    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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Lending Rate
    Description

    China Nominal Lending Rate: Individual Housing Provident Fund Loan: Over 5 Year data was reported at 2.750 % pa in May 2025. This records a decrease from the previous number of 3.000 % pa for Apr 2025. China Nominal Lending Rate: Individual Housing Provident Fund Loan: Over 5 Year data is updated monthly, averaging 4.050 % pa from Sep 1999 (Median) to May 2025, with 309 observations. The data reached an all-time high of 5.220 % pa in Aug 2008 and a record low of 2.750 % pa in May 2025. China Nominal Lending Rate: Individual Housing Provident Fund Loan: Over 5 Year data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under Global Database’s China – Table CN.MA: Rediscount and Lending Rate.

  6. Great Recession: delinquency rate by loan type in the U.S. 2007-2010

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Great Recession: delinquency rate by loan type in the U.S. 2007-2010 [Dataset]. https://www.statista.com/statistics/1342448/global-financial-crisis-us-economic-indicators/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2012
    Area covered
    United States
    Description

    The Global Financial Crisis of 2008-09 was a period of severe macroeconomic instability for the United States and the global economy more generally. The crisis was precipitated by the collapse of a number of financial institutions who were deeply involved in the U.S. mortgage market and associated credit markets. Beginning in the Summer of 2007, a number of banks began to report issues with increasing mortgage delinquencies and the problem of not being able to accurately price derivatives contracts which were based on bundles of these U.S. residential mortgages. By the end of 2008, U.S. financial institutions had begun to fail due to their exposure to the housing market, leading to one of the deepest recessions in the history of the United States and to extensive government bailouts of the financial sector.

    Subprime and the collapse of the U.S. mortgage market

    The early 2000s had seen explosive growth in the U.S. mortgage market, as credit became cheaper due to the Federal Reserve's decision to lower interest rates in the aftermath of the 2001 'Dot Com' Crash, as well as because of the increasing globalization of financial flows which directed funds into U.S. financial markets. Lower mortgage rates gave incentive to financial institutions to begin lending to riskier borrowers, using so-called 'subprime' loans. These were loans to borrowers with poor credit scores, who would not have met the requirements for a conventional mortgage loan. In order to hedge against the risk of these riskier loans, financial institutions began to use complex financial instruments known as derivatives, which bundled mortgage loans together and allowed the risk of default to be sold on to willing investors. This practice was supposed to remove the risk from these loans, by effectively allowing credit institutions to buy insurance against delinquencies. Due to the fraudulent practices of credit ratings agencies, however, the price of these contacts did not reflect the real risk of the loans involved. As the reality of the inability of the borrowers to repay began to kick in during 2007, the financial markets which traded these derivatives came under increasing stress and eventually led to a 'sudden stop' in trading and credit intermediation during 2008.

    Market Panic and The Great Recession

    As borrowers failed to make repayments, this had a knock-on effect among financial institutions who were highly leveraged with financial instruments based on the mortgage market. Lehman Brothers, one of the world's largest investment banks, failed on September 15th 2008, causing widespread panic in financial markets. Due to the fear of an unprecedented collapse in the financial sector which would have untold consequences for the wider economy, the U.S. government and central bank, The Fed, intervened the following day to bailout the United States' largest insurance company, AIG, and to backstop financial markets. The crisis prompted a deep recession, known colloquially as The Great Recession, drawing parallels between this period and The Great Depression. The collapse of credit intermediation in the economy lead to further issues in the real economy, as business were increasingly unable to pay back loans and were forced to lay off staff, driving unemployment to a high of almost 10 percent in 2010. While there has been criticism of the U.S. government's actions to bailout the financial institutions involved, the actions of the government and the Fed are seen by many as having prevented the crisis from spiraling into a depression of the magnitude of The Great Depression.

  7. C

    China CN: Nominal Lending Rate: Individual Housing Provident Fund Loan:...

    • ceicdata.com
    Updated Mar 26, 2025
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    CEICdata.com (2025). China CN: Nominal Lending Rate: Individual Housing Provident Fund Loan: Second Time Buyer: 5 Year or Less [Dataset]. https://www.ceicdata.com/en/china/rediscount-and-lending-rate/cn-nominal-lending-rate-individual-housing-provident-fund-loan-second-time-buyer-5-year-or-less
    Explore at:
    Dataset updated
    Mar 26, 2025
    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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Lending Rate
    Description

    China Nominal Lending Rate: Individual Housing Provident Fund Loan: Second Time Buyer: 5 Year or Less data was reported at 2.525 % pa in May 2025. This records a decrease from the previous number of 2.775 % pa for Apr 2025. China Nominal Lending Rate: Individual Housing Provident Fund Loan: Second Time Buyer: 5 Year or Less data is updated monthly, averaging 3.025 % pa from Oct 2022 (Median) to May 2025, with 32 observations. The data reached an all-time high of 3.025 % pa in Apr 2024 and a record low of 2.525 % pa in May 2025. China Nominal Lending Rate: Individual Housing Provident Fund Loan: Second Time Buyer: 5 Year or Less data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MA: Rediscount and Lending Rate.

  8. Median sale price of existing homes sold in the U.S. 1990-2024 with forecast...

    • statista.com
    Updated Sep 8, 2025
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    Statista (2025). Median sale price of existing homes sold in the U.S. 1990-2024 with forecast for 2027 [Dataset]. https://www.statista.com/statistics/272776/median-price-of-existing-homes-in-the-united-states-from-2011/
    Explore at:
    Dataset updated
    Sep 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. housing market continues to evolve, with the median price for existing homes forecast to fall to ******* U.S. dollars by 2027. This projection comes after a period of significant growth and recent fluctuations, reflecting the complex interplay of economic factors affecting the real estate sector. The rising costs have not only impacted home prices but also down payments, with the median down payment more than doubling since 2012. Regional variations in housing costs Home prices and down payments vary dramatically across the United States. While the national median down payment stood at approximately ****** U.S. dollars in early 2024, homebuyers in states like California, Massachusetts, and Hawaii faced down payments exceeding ****** U.S. dollars. This disparity highlights the challenges of homeownership in high-cost markets and underscores the importance of location in determining housing affordability. Market dynamics and future outlook The housing market has shown signs of cooling after years of rapid growth, with a modest price increase of *** percent in 2024. This slowdown can be attributed in part to rising mortgage rates, which have tempered demand. Despite these challenges, most states continued to see year-over-year price growth in 2025, with Rhode Island and West Virginia leading the packby home appreciation. As the market adjusts to new economic realities, potential homebuyers and investors alike will be watching closely for signs of stabilization or renewed growth in the coming years.

  9. 中国 贷款利率:加权平均:新发放贷款:个人住房

    • ceicdata.com
    + more versions
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    CEICdata.com, 中国 贷款利率:加权平均:新发放贷款:个人住房 [Dataset]. https://www.ceicdata.com/zh-hans/china/rediscount-and-lending-rate/cn-lending-rate-weighted-average-individual-housing-loan
    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
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    中国
    Variables measured
    Lending Rate
    Description

    贷款利率:加权平均:新发放贷款:个人住房在12-01-2024达3.090年利率%,相较于09-01-2024的3.310年利率%有所下降。贷款利率:加权平均:新发放贷款:个人住房数据按季更新,03-01-2009至12-01-2024期间平均值为5.395年利率%,共64份观测结果。该数据的历史最高值出现于12-01-2011,达7.620年利率%,而历史最低值则出现于12-01-2024,为3.090年利率%。CEIC提供的贷款利率:加权平均:新发放贷款:个人住房数据处于定期更新的状态,数据来源于中国人民银行,数据归类于中国经济数据库的货币市场、利率、收益率和汇率 – Table CN.MA: Rediscount and Lending Rate。

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    Learn how you can add new datasets to our index.

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CEICdata.com (2025). China CN: Lending Rate: Weighted Average: Individual Housing Loan [Dataset]. https://www.ceicdata.com/en/china/rediscount-and-lending-rate/cn-lending-rate-weighted-average-individual-housing-loan

China CN: Lending Rate: Weighted Average: Individual Housing Loan

Explore at:
Dataset updated
Mar 26, 2025
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
Mar 1, 2022 - Dec 1, 2024
Area covered
China
Variables measured
Lending Rate
Description

China Lending Rate: Weighted Average: Individual Housing Loan data was reported at 3.090 % pa in Dec 2024. This records a decrease from the previous number of 3.310 % pa for Sep 2024. China Lending Rate: Weighted Average: Individual Housing Loan data is updated quarterly, averaging 5.395 % pa from Mar 2009 (Median) to Dec 2024, with 64 observations. The data reached an all-time high of 7.620 % pa in Dec 2011 and a record low of 3.090 % pa in Dec 2024. China Lending Rate: Weighted Average: Individual Housing Loan data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MA: Rediscount and Lending Rate.

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