Mortgage rates increased at a record pace in 2022, with the 10-year fixed mortgage rate doubling between March 2022 and December 2022. With inflation increasing, the Bank of England introduced several bank rate hikes, resulting in higher mortgage rates. In May 2025, the average 10-year fixed rate interest rate reached **** percent. As borrowing costs get higher, demand for housing is expected to decrease, leading to declining market sentiment and slower house price growth. How have the mortgage hikes affected the market? After surging in 2021, the number of residential properties sold declined in 2023, reaching just above *** million. Despite the number of transactions falling, this figure was higher than the period before the COVID-19 pandemic. The falling transaction volume also impacted mortgage borrowing. Between the first quarter of 2023 and the first quarter of 2024, the value of new mortgage loans fell year-on-year for five straight quarters in a row. How are higher mortgages affecting homebuyers? Homeowners with a mortgage loan usually lock in a fixed rate deal for two to ten years, meaning that after this period runs out, they need to renegotiate the terms of the loan. Many of the mortgages outstanding were taken out during the period of record-low mortgage rates and have since faced notable increases in their monthly repayment. About **** million homeowners are projected to see their deal expire by the end of 2026. About *** million of these loans are projected to experience a monthly payment increase of up to *** British pounds by 2026.

In May 29, 2019, FHFA published its final Monthly Interest Rate Survey (MIRS), due to dwindling participation by financial institutions. MIRS had provided information on a monthly basis on interest rates, loan terms, and house prices by property type (all, new, previously occupied); by loan type (fixed- or adjustable-rate), and by lender type (savings associations, mortgage companies, commercial banks and savings banks); as well as information on 15-year and 30-year, fixed-rate loans. Additionally, MIRS provided quarterly information on conventional loans by major metropolitan area and by Federal Home Loan Bank district, and was used to compile FHFA’s monthly adjustable-rate mortgage index entitled the “National Average Contract Mortgage Rate for the Purchase of Previously Occupied Homes by Combined Lenders,” also known as the ARM Index.

Mortgage interest rates in Italy decreased substantially between 2013 and 2021 before rising in the following years. As of the fourth quarter of 2024, the mortgage interest rates amounted to **** percent — lower than the rate in the same period in the previous year. A slowly recovering market Despite not reaching the pre-crisis levels, an increase in the number of transactions in the residential real estate market as well as the volume of mortgages stipulated for house purchase indicate a positive trend for the sector in Italy. Homeownership in Italy reached **** percent in 2021, one of the highest rates in Western Europe. Low interest rates, especially when compared to other European countries, and decreasing house prices led to a renewed interest in the real estate market in Italy. Milan, an attractive destination for investments In recent years, more than in the past, thanks to its role as a capital of business and finance as well as an innovation hub, Milan was able to attract human capital and investments, both domestic and foreign. This ability to grow and innovate was also reflected in the real estate market, which was the most dynamic in the country. Transactions in residential real estate in Milan increased steadily since 2012, except for 2020, and so did prices: some areas of the city are among the most expensive in the country to buy a property.

Graph and download economic data for Average Finance Rate of Used Car Loans at Finance Companies, Amount of Finance Weighted (DISCONTINUED) (RIELPCFAUNQ) from Q1 2008 to Q4 2024 about used, finance companies, financing, companies, finance, financial, average, vehicles, loans, rate, and USA.

Mortgage interest rates in Europe soared in 2022 and remained elevated in the following two years. In many countries, this resulted in interest rates more than doubling. In the UK, the average mortgage interest rate rose from **** percent in 2020 to **** percent in 2023, before falling to **** in 2024. Why did mortgage interest rates increase? Mortgage rates have risen as a result of the European Central Bank (ECB) interest rate increase. The ECB increased its interest rates to tackle inflation. As inflation calms, the ECB is expected to cut rates, which allows mortgage lenders to reduce mortgage interest rates. What is the impact of interest rates on home buying? Lower interest rates make taking out a housing loan more affordable, and thus, encourage homebuying. That can be seen in many countries across Europe: In France, the number of residential properties sold rose in the years leading up to 2021, and fell as interest rates increased. The number of houses sold in the UK followed a similar trend.

The mortgage credit interest rate is the average interest rate on mortgage loan products offered to individuals and households by the commercial banks in the country. The mortgage credit is a loan used to finance the purchase of real estate. The table shows the latest available data from the national authorities as well as the values from three months ago and one year ago. The data are updated continuously.

Graph and download economic data for Finance Rate on Personal Loans at Commercial Banks, 24 Month Loan (TERMCBPER24NS) from Feb 1972 to Feb 2025 about financing, consumer credit, loans, personal, consumer, interest rate, banks, interest, depository institutions, rate, and USA.

Singapore Housing Loan Rate for 15 Years: 10 Finance Co Average data was reported at 3.160 % pa in Sep 2018. This stayed constant from the previous number of 3.160 % pa for Aug 2018. Singapore Housing Loan Rate for 15 Years: 10 Finance Co Average data is updated monthly, averaging 6.160 % pa from Jan 1983 (Median) to Sep 2018, with 429 observations. The data reached an all-time high of 12.420 % pa in Jan 1983 and a record low of 2.870 % pa in Jul 2013. Singapore Housing Loan Rate for 15 Years: 10 Finance Co Average data remains active status in CEIC and is reported by Monetary Authority of Singapore. The data is categorized under Global Database’s Singapore – Table SG.M001: Lending Rate.

Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Regulated Rates: Portoseg S.A. Credito Financiamento e Investimento data was reported at 0.000 % per Month in 03 Jul 2019. This stayed constant from the previous number of 0.000 % per Month for 02 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Regulated Rates: Portoseg S.A. Credito Financiamento e Investimento data is updated daily, averaging 0.000 % per Month from Jan 2012 (Median) to 03 Jul 2019, with 1867 observations. The data reached an all-time high of 0.000 % per Month in 03 Jul 2019 and a record low of 0.000 % per Month in 03 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Regulated Rates: Portoseg S.A. Credito Financiamento e Investimento data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB012: Lending Rate: per Month: by Banks: Pre-Fixed: Individuals: Mortgages with Regulated Rates. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

In the fourth quarter of 2024, the average mortgage rate in Indonesia stood at 7.43 percent. This marked the lowest average mortgage rate in the country since the first quarter of 2020.

Argentina Lending Rate: Foreign Currency: Fixed & Renegotiable: Mortgage Loans: 5 to 10 Years data was reported at 0.000 % pa in Mar 2025. This stayed constant from the previous number of 0.000 % pa for Feb 2025. Argentina Lending Rate: Foreign Currency: Fixed & Renegotiable: Mortgage Loans: 5 to 10 Years data is updated monthly, averaging 4.000 % pa from Jun 1993 (Median) to Mar 2025, with 382 observations. The data reached an all-time high of 18.250 % pa in Sep 2004 and a record low of 0.000 % pa in Mar 2025. Argentina Lending Rate: Foreign Currency: Fixed & Renegotiable: Mortgage Loans: 5 to 10 Years data remains active status in CEIC and is reported by Central Bank of Argentina. The data is categorized under Global Database’s Argentina – Table AR.M006: Lending Rate: Non Financial Private Sector.

Concept: Average interest rate of individuals registered as MEI by type of credit - Housing financing - mortgage Source: Central Bank of Brazil - Department of Financial Education 27180-average-interest-rate-of-individuals-registered-as-mei-by-type-of-credit---housing-financing- 27180-average-interest-rate-of-individuals-registered-as-mei-by-type-of-credit---housing-financing-

As of January 2025, the average monthly interest rate for house loans in Indonesia was 6.87 percent. The country's house loan interest rate has gradually decreased over the past few years, with a drop of around 1.4 percent compared to the rate in January 2021. House financing and ownership in Indonesia With mortgage interest rates anticipated to remain lower compared to the pre-COVID-19 pandemic level, Indonesia's residential property market is expected to continue growing. Indonesian banks provided mortgage loans exceeding 730 trillion Indonesian as of January 2025, catering to the majority of Indonesians who rely on loans to finance their homeownership needs. Notably, house ownership rates in Indonesian rural areas are significantly higher compared to urban areas. Amid its soaring land and house prices, Jakarta struggled with the lowest house ownership rate of any province in Indonesia. Housing prices Despite its significant housing backlog, which underscores the need for affordable housing, Indonesia's residential property price index has steadily increased in recent years. At the end of 2024, cities like Batam, Pontianak, Pekanbaru, and Samarinda saw the highest increases in property prices. This trend is not limited to primary properties, as the resale price index of second-hand houses has also shown consistent growth over the past few years.

Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Market Rates: HSBC Bank Brasil S.A. Banco Multiplo data was reported at 0.000 % per Month in 03 Jul 2019. This stayed constant from the previous number of 0.000 % per Month for 02 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Market Rates: HSBC Bank Brasil S.A. Banco Multiplo data is updated daily, averaging 1.310 % per Month from Jan 2012 (Median) to 03 Jul 2019, with 1816 observations. The data reached an all-time high of 1.550 % per Month in 11 Aug 2012 and a record low of 0.000 % per Month in 03 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Market Rates: HSBC Bank Brasil S.A. Banco Multiplo data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB011: Lending Rate: per Month: by Banks: Pre-Fixed: Individuals: Mortgages with Market Rates. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

Mortgages Statistic: Average interest rate of mortgages constituted. Monthly. National.

United States US: Lending Interest Rate data was reported at 3.512 % pa in 2016. This records an increase from the previous number of 3.260 % pa for 2015. United States US: Lending Interest Rate data is updated yearly, averaging 6.922 % pa from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 18.870 % pa in 1981 and a record low of 3.250 % pa in 2014. United States US: Lending Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Interest Rates. Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attached to these rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files.; ;

Graph and download economic data for Average Finance Rate of New Car Loans at Finance Companies, Amount of Finance Weighted (RIELPCFANNM) from Mar 2008 to Mar 2025 about finance companies, financing, companies, finance, financial, average, vehicles, new, loans, rate, and USA.

The Latin American home mortgage finance market, valued at approximately $XX million in 2025, is projected to experience steady growth, exhibiting a Compound Annual Growth Rate (CAGR) of 3.00% from 2025 to 2033. This growth is fueled by several key drivers, including increasing urbanization, rising disposable incomes across various socioeconomic segments, and government initiatives aimed at boosting homeownership rates. Furthermore, the expansion of the formal financial sector and the availability of innovative mortgage products, such as adjustable-rate mortgages catering to diverse financial profiles, contribute to market expansion. However, economic volatility in certain Latin American nations and fluctuating interest rates pose significant challenges. The market is segmented by mortgage type (fixed-rate and adjustable-rate), loan tenure (ranging from under 5 years to over 25 years), and geography, with Brazil, Chile, Colombia, and Peru representing significant market shares. Competition is intense, with major players including Caixa Economica Federal, Banco do Brasil, Itaú, Bradesco, Santander, and others vying for market dominance. The market's future trajectory hinges on managing economic instability, maintaining affordable interest rates, and continuing to improve access to credit for a broader range of borrowers. The segment analysis reveals that fixed-rate mortgages currently dominate the market, though adjustable-rate mortgages are gaining traction due to their flexibility. Longer-tenure mortgages (11-24 years and 25-30 years) are increasingly popular as borrowers seek more manageable monthly payments. Geographically, Brazil holds the largest market share, reflecting its substantial population and relatively developed financial sector. However, Chile, Colombia, and Peru are showing promising growth potential, driven by improving economic conditions and increased government support for housing initiatives. The Rest of Latin America segment offers considerable untapped potential. Continued economic development and infrastructure improvements in these regions will be instrumental in further propelling market growth in the coming years. A focus on financial literacy and responsible lending practices will be essential for sustainable market development and to mitigate potential risks associated with rapid expansion. Recent developments include: In August 2022, Two new mortgage fintech start-ups emerged in Latin America: Toperty launched in Colombia and Saturn5 is about to launch in Mexico. Toperty offers to purchase a customer's new house outright and provides a payment schedule that allows the customer to purchase the house while renting it from the business. Saturn5 wants to give its clients the skills and resources they need to buy a house on their own., In August 2022, During a conference call on August 5, Brazilian lender Banco Bradesco SA startled analysts by reporting an increase in default rates in the second quarter of 2022. The average 90-day nonperforming loan ratio for Bradesco, the second-largest private bank in Latin America, increased by 30 basis points. Delinquency in the overall portfolio increased to 3.5% from 2.5% and 3.2%, respectively, in the first quarter.. Notable trends are: Increase in Economic Growth and GDP per capita.

Interest rates in the UK spiked in 2022 and 2023, with the average rate for new mortgage advances to individuals and individual trusts rising by 3.61 percentage points between January 2022 and January 2024. Mortgages on a floating interest rate were the most expensive as of January 2024, at 5.75 percent. On the other hand, the average rate for new advances with a five-year fixed rate was 4.88 percent.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Mortgage Rates: Hot Economic Conjecture Puts the Squeeze on Homebuyers

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data