18 datasets found
  1. T

    United States 30-Year Mortgage Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). United States 30-Year Mortgage Rate [Dataset]. https://tradingeconomics.com/united-states/30-year-mortgage-rate
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Oct 23, 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
    Apr 1, 1971 - Oct 23, 2025
    Area covered
    United States
    Description

    30 Year Mortgage Rate in the United States decreased to 6.19 percent in October 23 from 6.27 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

  2. T

    United States House Price Index YoY

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). United States House Price Index YoY [Dataset]. https://tradingeconomics.com/united-states/house-price-index-yoy
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Sep 30, 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 31, 1992 - Jul 31, 2025
    Area covered
    United States
    Description

    House Price Index YoY in the United States decreased to 2.30 percent in July from 2.70 percent in June of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

  3. m

    Japan Real Estate Investment Corp - Total-Other-Income-Expense-Net

    • macro-rankings.com
    csv, excel
    Updated Oct 2, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    macro-rankings (2025). Japan Real Estate Investment Corp - Total-Other-Income-Expense-Net [Dataset]. https://www.macro-rankings.com/Markets/Stocks/8952-TSE/Total-Other-Income-Expense-Net
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Oct 2, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    japan
    Description

    Total-Other-Income-Expense-Net Time Series for Japan Real Estate Investment Corp. Japan Real Estate Investment Corporation (the "Company") was established on May 11, 2001 pursuant to Japan's Act on Investment Trusts and Investment Corporations ("ITA"). The Company was listed on the real estate investment trust market of the Tokyo Stock Exchange ("TSE") on September 10, 2001 (Securities Code: 8952). Since its IPO, the size of the Company's assets (total acquisition price) has grown steadily, expanding from 92.8 billion yen to 1,167.7 billion yen as of March 31, 2025. Over the same period, the Company's portfolio has also increased from 20 properties to 77 properties. During the March 2025 period (October 1, 2024 to March 31, 2025), the Japanese economy continued to demonstrate a gradual recovery, despite some lingering stagnation in capital investment and personal consumption due to inflation and other factors. On the other hand, given the policy rate hikes by the Bank of Japan, the shift in global interest rates to a lowering phase, the impact of U.S. policy trends, such as trade policy and other factors, interest rate trends, overseas political and economic developments, and price trends, including resource prices, will continue to bear watching. In the office leasing market, demand continues to grow for leases driven by business expansion and relocations aimed at improving location. As a result, the vacancy rate in central Tokyo continues to decline gradually. In addition, rent levels are rising at an accelerating rate. In light of the prevailing conditions in the leasing market, the Company is striving to attract new tenants through strategic leasing activities and to further enhance the satisfaction level of existing tenants by adding value to its portfolio properties with the aim of maintaining and improving the occupancy rate and realizing sustainable income growth across the entire portfolio. In the real estate trading market, despite the Bank of Japan normalizing its monetary policy, the appetite for property acquisition among both domestic and foreign investors remains firm, backed ma

  4. m

    Japan Real Estate Investment Corp - Begin-Period-Cashflow

    • macro-rankings.com
    csv, excel
    Updated Jul 31, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    macro-rankings (2025). Japan Real Estate Investment Corp - Begin-Period-Cashflow [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=8952.TSE&Item=Begin-Period-Cashflow
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    japan
    Description

    Begin-Period-Cashflow Time Series for Japan Real Estate Investment Corp. Japan Real Estate Investment Corporation (the "Company") was established on May 11, 2001 pursuant to Japan's Act on Investment Trusts and Investment Corporations ("ITA"). The Company was listed on the real estate investment trust market of the Tokyo Stock Exchange ("TSE") on September 10, 2001 (Securities Code: 8952). Since its IPO, the size of the Company's assets (total acquisition price) has grown steadily, expanding from 92.8 billion yen to 1,167.7 billion yen as of March 31, 2025. Over the same period, the Company's portfolio has also increased from 20 properties to 77 properties. During the March 2025 period (October 1, 2024 to March 31, 2025), the Japanese economy continued to demonstrate a gradual recovery, despite some lingering stagnation in capital investment and personal consumption due to inflation and other factors. On the other hand, given the policy rate hikes by the Bank of Japan, the shift in global interest rates to a lowering phase, the impact of U.S. policy trends, such as trade policy and other factors, interest rate trends, overseas political and economic developments, and price trends, including resource prices, will continue to bear watching. In the office leasing market, demand continues to grow for leases driven by business expansion and relocations aimed at improving location. As a result, the vacancy rate in central Tokyo continues to decline gradually. In addition, rent levels are rising at an accelerating rate. In light of the prevailing conditions in the leasing market, the Company is striving to attract new tenants through strategic leasing activities and to further enhance the satisfaction level of existing tenants by adding value to its portfolio properties with the aim of maintaining and improving the occupancy rate and realizing sustainable income growth across the entire portfolio. In the real estate trading market, despite the Bank of Japan normalizing its monetary policy, the appetite for property acquisition among both domestic and foreign investors remains firm, backed ma

  5. f

    Data from: Hedonic price index for apartments: an analysis of data from Belo...

    • scielo.figshare.com
    jpeg
    Updated Jun 4, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Luiz Andrés Ribeiro Paixão; Viviane Luporini (2023). Hedonic price index for apartments: an analysis of data from Belo Horizonte (Brazil), from 1995 to 2012 [Dataset]. http://doi.org/10.6084/m9.figshare.14319827.v1
    Explore at:
    jpegAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    SciELO journals
    Authors
    Luiz Andrés Ribeiro Paixão; Viviane Luporini
    License

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

    Area covered
    Belo Horizonte, Brazil
    Description

    Abstract This paper presents the more commonly used methods of hedonic estimation and applies them to a fiscal data base from Belo Horizonte, Brazil, 1995-2012. The results of the price indexes from the various estimations suggest a pronounced real estate appreciation from 2005 to 2012. Increasing real estate financing (after the statutory lien legislation of 2004), falling interest rates and growth in real family income contributed to the positive performance of the real estate market in the period. Results also indicate that real estate prices continued to increase despite the world financial crisis of 2008/2009 possibly due to countercyclical policies implemented by the Brazilian Government. These results help to shed light on the potential use of hedonic price models and a fiscal database to construct an official housing price index for Brazil in the future.

  6. m

    Japan Real Estate Investment Corp - Pretax-Margin

    • macro-rankings.com
    csv, excel
    Updated Oct 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    macro-rankings (2025). Japan Real Estate Investment Corp - Pretax-Margin [Dataset]. https://www.macro-rankings.com/markets/stocks/8952-tse/key-financial-ratios/profitability/pretax-margin
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    japan
    Description

    Pretax-Margin Time Series for Japan Real Estate Investment Corp. Japan Real Estate Investment Corporation (the "Company") was established on May 11, 2001 pursuant to Japan's Act on Investment Trusts and Investment Corporations ("ITA"). The Company was listed on the real estate investment trust market of the Tokyo Stock Exchange ("TSE") on September 10, 2001 (Securities Code: 8952). Since its IPO, the size of the Company's assets (total acquisition price) has grown steadily, expanding from 92.8 billion yen to 1,167.7 billion yen as of March 31, 2025. Over the same period, the Company's portfolio has also increased from 20 properties to 77 properties. During the March 2025 period (October 1, 2024 to March 31, 2025), the Japanese economy continued to demonstrate a gradual recovery, despite some lingering stagnation in capital investment and personal consumption due to inflation and other factors. On the other hand, given the policy rate hikes by the Bank of Japan, the shift in global interest rates to a lowering phase, the impact of U.S. policy trends, such as trade policy and other factors, interest rate trends, overseas political and economic developments, and price trends, including resource prices, will continue to bear watching. In the office leasing market, demand continues to grow for leases driven by business expansion and relocations aimed at improving location. As a result, the vacancy rate in central Tokyo continues to decline gradually. In addition, rent levels are rising at an accelerating rate. In light of the prevailing conditions in the leasing market, the Company is striving to attract new tenants through strategic leasing activities and to further enhance the satisfaction level of existing tenants by adding value to its portfolio properties with the aim of maintaining and improving the occupancy rate and realizing sustainable income growth across the entire portfolio. In the real estate trading market, despite the Bank of Japan normalizing its monetary policy, the appetite for property acquisition among both domestic and foreign investors remains firm, backed ma

  7. h

    National House Construction Cost Index

    • opendata.housing.gov.ie
    • find.data.gov.scot
    • +2more
    Updated Dec 9, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2016). National House Construction Cost Index [Dataset]. https://opendata.housing.gov.ie/dataset/national-house-construction-cost-index
    Explore at:
    Dataset updated
    Dec 9, 2016
    Description

    The index relates to costs ruling on the first day of each month. NATIONAL HOUSE CONSTRUCTION COST INDEX; Up until October 2006 it was known as the National House Building Index Oct 2000 data; The index since October, 2000, includes the first phase of an agreement following a review of rates of pay and grading structures for the Construction Industry and the first phase increase under the PPF. April, May and June 2001; Figures revised in July 2001due to 2% PPF Revised Terms. March 2002; The drop in the March 2002 figure is due to a decrease in the rate of PRSI from 12% to 10¾% with effect from 1 March 2002. The index from April 2002 excludes the one-off lump sum payment equal to 1% of basic pay on 1 April 2002 under the PPF. April, May, June 2003; Figures revised in August'03 due to the backdated increase of 3% from 1April 2003 under the National Partnership Agreement 'Sustaining Progress'. The increases in April and October 2006 index are due to Social Partnership Agreement "Towards 2016". March 2011; The drop in the March 2011 figure is due to a 7.5% decrease in labour costs. Methodology in producing the Index Prior to October 2006: The index relates solely to labour and material costs which should normally not exceed 65% of the total price of a house. It does not include items such as overheads, profit, interest charges, land development etc. The House Building Cost Index monitors labour costs in the construction industry and the cost of building materials. It does not include items such as overheads, profit, interest charges or land development. The labour costs include insurance cover and the building material costs include V.A.T. Coverage: The type of construction covered is a typical 3 bed-roomed, 2 level local authority house and the index is applied on a national basis. Data Collection: The labour costs are based on agreed labour rates, allowances etc. The building material prices are collected at the beginning of each month from the same suppliers for the same representative basket. Calculation: Labour and material costs for the construction of a typical 3 bed-roomed house are weighted together to produce the index. Post October 2006: The name change from the House Building Cost Index to the House Construction Cost Index was introduced in October 2006 when the method of assessing the materials sub-index was changed from pricing a basket of materials (representative of a typical 2 storey 3 bedroomed local authority house) to the CSO Table 3 Wholesale Price Index. The new Index does maintains continuity with the old HBCI. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Oct 2008 data; Decrease due to a fall in the Oct Wholesale Price Index.

  8. D

    AI-Assisted Real Estate Valuation Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jun 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). AI-Assisted Real Estate Valuation Market Research Report 2033 [Dataset]. https://dataintelo.com/report/ai-assisted-real-estate-valuation-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jun 28, 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

    AI-Assisted Real Estate Valuation Market Outlook



    According to our latest research, the AI-Assisted Real Estate Valuation market size reached USD 1.97 billion globally in 2024, demonstrating robust adoption across the property sector. The market is projected to grow at a CAGR of 15.4% from 2025 to 2033, reaching an estimated value of USD 6.04 billion by the end of the forecast period. This impressive growth trajectory is primarily driven by increasing demand for accurate, data-driven property valuations, the proliferation of big data analytics, and the integration of artificial intelligence in real estate processes.



    One of the most significant growth factors propelling the AI-Assisted Real Estate Valuation market is the mounting need for efficiency and accuracy in property appraisal. Traditional real estate valuation methods are often time-consuming, subjective, and prone to human error. AI-powered solutions, by contrast, leverage machine learning algorithms, vast datasets, and predictive analytics to deliver precise and unbiased property valuations in real time. This capability is especially valuable in volatile markets or regions experiencing rapid development, where timely and accurate property assessments are crucial for both buyers and sellers. The adoption of AI-driven tools also reduces operational costs for real estate agencies and financial institutions, further incentivizing the shift towards automated valuation models (AVMs).



    Another key driver is the increasing digitization of the real estate sector, which is generating unprecedented volumes of structured and unstructured data. AI-Assisted Real Estate Valuation platforms can process diverse datasets, including historical sales records, neighborhood trends, economic indicators, and even satellite imagery. This advanced data processing capability supports more nuanced and context-aware valuations, enabling stakeholders to make informed decisions with greater confidence. Additionally, regulatory changes in many countries are encouraging the use of transparent, auditable, and standardized valuation methodologies, which AI-powered systems are uniquely equipped to provide.



    The market is also benefiting from growing investor interest in proptech and the broader digital transformation of real estate. Venture capital and private equity funds are increasingly channeling resources into AI-driven real estate solutions, spurring innovation and competition among technology providers. This influx of capital is fostering the development of more sophisticated AI models, intuitive user interfaces, and robust integration capabilities with other property management systems. As a result, AI-Assisted Real Estate Valuation solutions are becoming more accessible to a wider range of end-users, from large institutional investors to individual homebuyers and sellers.



    From a regional perspective, North America currently dominates the AI-Assisted Real Estate Valuation market, accounting for the largest share of global revenues in 2024. This leadership position is underpinned by the presence of major proptech firms, advanced digital infrastructure, and a high rate of technology adoption among real estate professionals. However, the Asia Pacific region is expected to register the fastest growth over the forecast period, driven by rapid urbanization, expanding middle-class populations, and increasing investments in smart city initiatives. Europe is also witnessing steady growth, supported by regulatory harmonization and a strong focus on transparency in property transactions.



    Component Analysis



    The AI-Assisted Real Estate Valuation market is segmented by component into Software and Services. The software segment encompasses a wide range of AI-powered platforms, applications, and automated valuation models that enable real-time property assessment. These solutions are designed to ingest and analyze large volumes of data, apply advanced algorithms, and generate accurate property valuations with minimal human intervention. The software segment is witnessing significant innovation, with vendors integrating features such as natural language processing, computer vision, and predictive analytics to enhance the depth and reliability of their valuation outputs. As a result, real estate agencies, financial institutions, and individual users are increasingly adopting software-based solutions to streamline their appraisal processes and improve decision-making.
    </p&g

  9. m

    Japan Real Estate Investment Corp - Cash-Flow-Per-Share

    • macro-rankings.com
    csv, excel
    Updated Mar 18, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    macro-rankings (2025). Japan Real Estate Investment Corp - Cash-Flow-Per-Share [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=8952.TSE&Item=Cash-Flow-Per-Share
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    japan
    Description

    Cash-Flow-Per-Share Time Series for Japan Real Estate Investment Corp. Japan Real Estate Investment Corporation (the "Company") was established on May 11, 2001 pursuant to Japan's Act on Investment Trusts and Investment Corporations ("ITA"). The Company was listed on the real estate investment trust market of the Tokyo Stock Exchange ("TSE") on September 10, 2001 (Securities Code: 8952). Since its IPO, the size of the Company's assets (total acquisition price) has grown steadily, expanding from 92.8 billion yen to 1,167.7 billion yen as of March 31, 2025. Over the same period, the Company's portfolio has also increased from 20 properties to 77 properties. During the March 2025 period (October 1, 2024 to March 31, 2025), the Japanese economy continued to demonstrate a gradual recovery, despite some lingering stagnation in capital investment and personal consumption due to inflation and other factors. On the other hand, given the policy rate hikes by the Bank of Japan, the shift in global interest rates to a lowering phase, the impact of U.S. policy trends, such as trade policy and other factors, interest rate trends, overseas political and economic developments, and price trends, including resource prices, will continue to bear watching. In the office leasing market, demand continues to grow for leases driven by business expansion and relocations aimed at improving location. As a result, the vacancy rate in central Tokyo continues to decline gradually. In addition, rent levels are rising at an accelerating rate. In light of the prevailing conditions in the leasing market, the Company is striving to attract new tenants through strategic leasing activities and to further enhance the satisfaction level of existing tenants by adding value to its portfolio properties with the aim of maintaining and improving the occupancy rate and realizing sustainable income growth across the entire portfolio. In the real estate trading market, despite the Bank of Japan normalizing its monetary policy, the appetite for property acquisition among both domestic and foreign investors remains firm, backed ma

  10. T

    Sweden Interest Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). Sweden Interest Rate [Dataset]. https://tradingeconomics.com/sweden/interest-rate
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Sep 29, 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
    May 26, 1994 - Sep 23, 2025
    Area covered
    Sweden
    Description

    The benchmark interest rate in Sweden was last recorded at 1.75 percent. This dataset provides the latest reported value for - Sweden Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  11. T

    China Loan Prime Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 20, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). China Loan Prime Rate [Dataset]. https://tradingeconomics.com/china/interest-rate
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Aug 20, 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
    Oct 25, 2013 - Oct 20, 2025
    Area covered
    China
    Description

    The benchmark interest rate in China was last recorded at 3 percent. This dataset provides the latest reported value for - China Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  12. T

    Norway Interest Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, Norway Interest Rate [Dataset]. https://tradingeconomics.com/norway/interest-rate
    Explore at:
    xml, excel, csv, jsonAvailable 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 1, 1991 - Sep 18, 2025
    Area covered
    Norway
    Description

    The benchmark interest rate in Norway was last recorded at 4 percent. This dataset provides the latest reported value for - Norway Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  13. T

    Germany Interest Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 11, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2024). Germany Interest Rate [Dataset]. https://tradingeconomics.com/germany/interest-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Mar 11, 2024
    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
    Dec 18, 1998 - Sep 11, 2025
    Area covered
    Germany
    Description

    The benchmark interest rate in Germany was last recorded at 4.50 percent. This dataset provides - Germany Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  14. T

    Australia Residential Property Price Index QoQ

    • tradingeconomics.com
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, Australia Residential Property Price Index QoQ [Dataset]. https://tradingeconomics.com/australia/house-price-index-mom
    Explore at:
    json, csv, excel, xmlAvailable 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
    Dec 31, 2003 - Dec 31, 2021
    Area covered
    Australia
    Description

    The Residential Property Price Index in Australia rose by 4.7 percent qoq in Q4 2021, above market consensus of 3.9 percent and after a 5.0 percent growth in Q3. This was the sixth straight quarter of growth in property prices, supported by record-low interest rates and strong demand. The strongest quarterly price increases were recorded in Brisbane (9.6 percent), followed by Adelaide (6.8 percent), Hobart (6.5 percent), and Canberra (6.4 percent). Through the year to Q4, the index jumped to a record high of 23.7 percent, with Hobart, Canberra, Brisbane, Sydney, and Adelaide having the largest annual rise since the commencement of the series; while Melbourne had the largest annual rise since Q2 2010. This dataset includes a chart with historical data for Australia House Price Index QoQ.

  15. T

    Pakistan Interest Rate

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). Pakistan Interest Rate [Dataset]. https://tradingeconomics.com/pakistan/interest-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Sep 15, 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
    Feb 3, 1992 - Sep 15, 2025
    Area covered
    Pakistan
    Description

    The benchmark interest rate in Pakistan was last recorded at 11 percent. This dataset provides - Pakistan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. T

    Sweden Average Interest Rate for Households Housing Loans

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Jun 27, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2023). Sweden Average Interest Rate for Households Housing Loans [Dataset]. https://tradingeconomics.com/sweden/mortgage-rate
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Jun 27, 2023
    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, 2006 - Aug 31, 2025
    Area covered
    Sweden
    Description

    Mortgage Rate in Sweden remained unchanged at 2.84 percent in August. This dataset includes a chart with historical data for Sweden Average Interest Rate on New Agreements for Mortgages to Households.

  17. T

    Philippines Interest Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). Philippines Interest Rate [Dataset]. https://tradingeconomics.com/philippines/interest-rate
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Oct 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 31, 1985 - Oct 9, 2025
    Area covered
    Philippines
    Description

    The benchmark interest rate in Philippines was last recorded at 4.75 percent. This dataset provides the latest reported value for - Philippines Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  18. T

    Canada Average House Prices

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, Canada Average House Prices [Dataset]. https://tradingeconomics.com/canada/average-house-prices
    Explore at:
    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 - Sep 30, 2025
    Area covered
    Canada
    Description

    Average House Prices in Canada decreased to 686800 CAD in September from 687600 CAD in August of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2025). United States 30-Year Mortgage Rate [Dataset]. https://tradingeconomics.com/united-states/30-year-mortgage-rate

United States 30-Year Mortgage Rate

United States 30-Year Mortgage Rate - Historical Dataset (1971-04-01/2025-10-23)

Explore at:
csv, json, xml, excelAvailable download formats
Dataset updated
Oct 23, 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
Apr 1, 1971 - Oct 23, 2025
Area covered
United States
Description

30 Year Mortgage Rate in the United States decreased to 6.19 percent in October 23 from 6.27 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

Search
Clear search
Close search
Google apps
Main menu