The mortgage interest rate in Germany decreased notably between 2013 and 2022, falling below 1.5 percent. This was part of an overall trend of falling mortgage interest rates in Europe. The mortgage interest rate in Germany has since increased to 3.9 percent in the second quarter of 2024. The German mortgage market In Europe, Germany is the second-largest mortgage market, with a total value of mortgages outstanding amounting to over 1.8 trillion euros. Mortgage loans are one of the oldest bank products. Among the factors that influence mortgage interest rates are inflation, economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market. Mortgage loans The higher cost of borrowing has a significant effect on the market: While the interest rates were at their lowest, mortgage lending was on the rise. In 2023, when the rates reached a 10-year-high, the quarterly gross mortgage lending fell to the lowest value since 2014. Meanwhile, house prices have also increased substantially in recent years. According to the House Price Index in Germany, between 2015 and 2022, house prices increased by over 60 percent.

In 2022, Portugal overturned the sinking mortgage interest rate it had gone through during the coronavirus (COVID-19) pandemic. The country did not escape from the overall trend of falling mortgage interest rates observed in Europe during the COVID-19 crisis, which positioned national mortgage interest rates at **** percent in the fourth quarter of 2021. Interest rates as a weapon against inflation Even though interest rates are affected by economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market, inflation currently leads the European Central Bank (ECB)’s decisions regarding them. As inflation had been low in Europe since the 2008 financial crisis, the ECB lowered interest rates in an attempt to promote economic growth. However, the economic difficulties brought up by the coronavirus pandemic and the Russian-Ukrainian war have fueled inflation. To counteract this rise, the ECB increased interest rates. Portugal’s abrupt rise in interest rates on new residential loans from **** percent in 2021 to **** percent in 2023 demonstrates the balanced and calculated act between the two financial indices. High interest rates and low mortgage lending Compared to other European nations, Portugal has a low gross residential mortgage lending. In the third and fourth quarters of 2022, mortgage lending decreased in the country due to rising interest rates and worsening economic conditions, but have increased dramatically until 2024. Despite being in a rising trajectory in terms of outstanding residential mortgage lending since the second quarter of 2021, 2023 registered decreasing figures caused by the same economic contingencies. 2024 shows a different trend, however.

Rural borrowers are more likely to have higher interest rates than their urban or suburban counterparts. Approximately 11 percent of rural home purchase originations were classified as “high-cost” loans, or having an interest rate at least 150 basis points (for first-lien loans - 350 basis points for subordinate-lien loans) higher than the annual percentage rate offered on prime mortgage loans of comparable type. The incidence of high-cost lending in rural areas is considerably higher than the suburban or urban level at 7 percent. Higher mortgage rates in rural areas are attributable in part to a large number of financed manufactured homes which are more prevalent in rural communities. Manufactured homes are predominately financed with personal property loans that have shorter terms and higher rates. In addition to having an extremely high loan denial rate of 38 percent, roughly half of rural manufactured home purchase originations reported to HMDA in 2013 were classified as high-cost loans.

Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2025-07-10 about 15-year, fixed, mortgage, interest rate, interest, rate, and USA.

Among the factors that influence mortgage interest rates are inflation, economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market. It can be seen that the mortgage interest rate in Hungary decreased overall with some fluctuation until the last quarter of 2021. Following an increase, it reached a value of **** percent as of the second quarter of 2023. This was part of an overall trend of increasing mortgage interest rates in Europe.

Mortgage interest rates in Italy decreased substantially between 2013 and 2021 before rising in the following years. The second quarter of 2024, the mortgage interest rates amounted to 3.55 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 73.7 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.

United States Mortgage Fixed Rate: Mth Avg: 15 Year data was reported at 4.250 % pa in Oct 2018. This records an increase from the previous number of 4.080 % pa for Sep 2018. United States Mortgage Fixed Rate: Mth Avg: 15 Year data is updated monthly, averaging 5.680 % pa from Sep 1991 (Median) to Oct 2018, with 326 observations. The data reached an all-time high of 8.800 % pa in Jan 1995 and a record low of 2.660 % pa in Apr 2013. United States Mortgage Fixed Rate: Mth Avg: 15 Year data remains active status in CEIC and is reported by Federal Home Loan Mortgage Corporation, Freddie Mac. The data is categorized under Global Database’s United States – Table US.M012: Mortgage Interest Rate.

United States Mortgage Adjustable Rate: Mth Avg: 5 Year data was reported at 4.110 % pa in Nov 2018. This records an increase from the previous number of 4.080 % pa for Oct 2018. United States Mortgage Adjustable Rate: Mth Avg: 5 Year data is updated monthly, averaging 3.540 % pa from Jan 2005 (Median) to Nov 2018, with 167 observations. The data reached an all-time high of 6.360 % pa in Jul 2006 and a record low of 2.610 % pa in May 2013. United States Mortgage Adjustable Rate: Mth Avg: 5 Year data remains active status in CEIC and is reported by Federal Home Loan Mortgage Corporation, Freddie Mac. The data is categorized under Global Database’s United States – Table US.M012: Mortgage Interest Rate.

United States Mortgage Fixed Rate: Wk Ending: 15 Year data was reported at 4.020 % pa in 26 Jul 2018. This records an increase from the previous number of 4.000 % pa for 19 Jul 2018. United States Mortgage Fixed Rate: Wk Ending: 15 Year data is updated weekly, averaging 3.940 % pa from Jan 2004 (Median) to 26 Jul 2018, with 760 observations. The data reached an all-time high of 6.440 % pa in 06 Jul 2006 and a record low of 2.560 % pa in 02 May 2013. United States Mortgage Fixed Rate: Wk Ending: 15 Year data remains active status in CEIC and is reported by Federal Home Loan Mortgage Corporation, Freddie Mac. The data is categorized under Global Database’s USA – Table US.M012: Mortgage Interest Rate.

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.

It can be seen that the mortgage interest rate in Poland increased overall during the period under observation, reaching a value of *** percent as of the fourth quarter of 2024. Demand for mortgage loans in Poland      Despite the tightening of credit policy by banks, the demand for mortgage loans is not decreasing. The residential market has also seen increases both in sales and in the construction of new premises. The increase in salaries combined with the decrease in the mortgage loan cost results in Poles having no problems buying apartments despite high prices. Higher wages also affect their creditworthiness, which is essential when applying for a mortgage. The value of housing loans amounted to a record ***** billion zloty in 2019. Despite a decrease in 2017, the value of debt in 2019 increased by *** percent compared to the previous year. The increase in wealth has also been reflected in the average value of mortgages. In 2021, Bank Millennium granted the largest number of mortgages to Poles, although Bank ****** was the leader in terms of value.   Demand for housing in Poland      Despite a growing number of flats, the prices are not falling, but on the contrary, they are continually rising. An increase in prices was recorded in every major city. The annual rise in prices in many cities went up between ** and ** percent. The most significant price increase on the primary market was recorded in ******, while on the secondary market, Wroclaw prevailed. Nevertheless, Poles pay the most for a flat in the Polish capital Warsaw. In December 2024, the price per square meter of an apartment on the secondary market exceeded **** thousand zloty, while the price per square meter on the primary market was close to **** thousand zloty. However, the coronavirus (COVID-19) outbreak in Poland in March 2020 affected the investment plans in the real estate market. Both individual customers and developers recorded a significant decline in the number of construction projects commenced during this period.

Chile Mortgage Rate: Endorsable Loans: Term: 1 to 8 Years data was reported at 2.650 % pa in Apr 2019. This records an increase from the previous number of 2.620 % pa for Mar 2019. Chile Mortgage Rate: Endorsable Loans: Term: 1 to 8 Years data is updated monthly, averaging 3.697 % pa from Jan 2013 (Median) to Apr 2019, with 76 observations. The data reached an all-time high of 5.158 % pa in Jun 2013 and a record low of 2.620 % pa in Mar 2019. Chile Mortgage Rate: Endorsable Loans: Term: 1 to 8 Years data remains active status in CEIC and is reported by Financial Market Commission. The data is categorized under Global Database’s Chile – Table CL.M007: Mortgage Rate.

Mortgage rates in the Netherlands increased sharply in 2022 and 2023, after declining gradually between 2008 and 2021. In December 2022, the average interest rate for new mortgage loans stood at **** percent, and by the end of 2023, it had risen to **** percent. The 10-year interest rate was the lowest, at **** percent; the floating and less than one-year interest rates amounted to **** and **** percent, respectively. In early 2024, mortgage rates decreased notably. Are mortgage rates in the Netherlands different from those in other European countries? When comparing this ranking to data that covers multiple European countries, the Netherlands’ mortgage rate was similar to the rates found in Spain, the United Kingdom, and Sweden. It was, however, a lot lower than the rates in Eastern Europe. Hungary and Romania, for example, had some of the highest mortgage rates. For more information on the European mortgage market and how much the countries differ from each other, please visit this dedicated research page. How big is the mortgage market in the Netherlands? The Netherlands has overall seen an increase in the number of mortgage loans sold and is regarded as one of the countries with the highest mortgage debt in Europe. The reason behind this is that Dutch homeowners were able to for many years to deduct interest paid from pre-tax income (a system known in the Netherlands as hypotheekrenteaftrek). Total mortgage debt of Dutch households has been increasing year-on-year since 2013.

United States Mortgage Fixed Rate: Wk Ending: 15 Year: Point data was reported at 0.400 % pa in 25 Oct 2018. This stayed constant from the previous number of 0.400 % pa for 18 Oct 2018. United States Mortgage Fixed Rate: Wk Ending: 15 Year: Point data is updated weekly, averaging 0.600 % pa from Jan 2004 (Median) to 25 Oct 2018, with 773 observations. The data reached an all-time high of 0.800 % pa in 25 Jul 2013 and a record low of 0.070 % pa in 24 Nov 2011. United States Mortgage Fixed Rate: Wk Ending: 15 Year: Point data remains active status in CEIC and is reported by Federal Home Loan Mortgage Corporation, Freddie Mac. The data is categorized under Global Database’s USA – Table US.M012: Mortgage Interest Rate.

Lending Rate in Uzbekistan increased to 23.40 percent in March from 23.20 percent in February of 2025. This dataset provides - Uzbekistan Prime Lending Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Mortgage credit interest rate, percent in Norway, March, 2025 The most recent value is 5.65 percent as of March 2025, no change compared to the previous value of 5.65 percent. Historically, the average for Norway from December 2013 to March 2025 is 3.22 percent. The minimum of 1.81 percent was recorded in August 2021, while the maximum of 5.73 percent was reached in March 2024. | TheGlobalEconomy.com

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using Home Mortgage Disclosure Act (HMDA) data to show mortgage loan applications, originations, denials, and applicant income, for 2013, by census tract in the Atlanta Region.

Attributes:

GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)

County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

Area_Name = 2010 Census tract number and county name

Total_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)

Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)

Planning_Region = Planning region designation for ARC purposes

AcresLand = Land area within the tract (in acres)

AcresWater = Water area within the tract (in acres)

AcresTotal = Total area within the tract (in acres)

SqMi_Land = Land area within the tract (in square miles)

SqMi_Water = Water area within the tract (in square miles)

SqMi_Total = Total area within the tract (in square miles)

TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.

CountyName = County Name

ALL_LOAN_APPS_2013 = All Loan Applications, 2013

ALL_LOAN_ORIG_2013 = All Loan Originations, 2013

ALL_LOAN_DENIALS_2013 = All Loan Denials, 2013

HOME_PURCH_LOAN_APPS_2013 = Home Purchase Loan Applications, 2013

HOME_PURCH_LOAN_ORIG_2013 = Home Purchase Loan Originations, 2013

HOME_PURCH_LOAN_DENIALS_2013 = Home Purchase Loan Denials, 2013

HOME_REFI_LOAN_APPS_2013 = Home Refinancing Loan Applications, 2013

HOME_REFI_LOAN_ORIG_2013 = Home Refinancing Loan Originations, 2013

HOME_REFI_LOAN_DENIALS_2013 = Home Refinancing Loan Denials, 2013

MED_AMT_LOAN_APLD_1K = Median Amount of Loan Applied for, $1k

MED_AMT_LOAN_ORIG_1K = Median Amount of Loan Originated, $1k

MED_AMT_LOAN_DEND_1K = Median Amount of Loan Denied, $1k

MED_AMT_HOME_PURCH_LOAN_APLD_1K = Median Amount of Home Purchase Loan Applied for, $1k

MED_AMT_HOME_PURCH_LOAN_ORIG_1K = Median Amount of Home Purchase Loan Originated, $1k

MED_AMT_HOME_PURCH_LOAN_DEND_1K = Median Amount of Home Purchase Loan Denied, $1k

MED_AMT_HOME_REFI_LOAN_APLD_1K = Median Amount of Home Refinancing Loan Applied for, $1k

MED_AMT_HOME_REFI_LOAN_ORIG_1K = Median Amount of Home Refinancing Loan Originated, $1k

MED_AMT_HOME_REFI_LOAN_DEND_1K = Median Amount of Home Refinancing Loan Denied, $1k

MED_INCOME_FOR_LOAN_APLD_1K = Median Applicant Income for Loan Applied for, $1k

MED_INCOME_FOR_LOAN_ORIG_1K = Median Applicant Income for Loan Originated, $1k

MED_INCOME_FOR_LOAN_DEND_1K = Median Applicant Income for Loan Denied, $1k

MED_INCOME_PURCH_LOAN_APLD_1K = Median Applicant Income for Home Purchase Loan Applied for, $1k

MED_INCOME_PURCH_LOAN_ORIG_1K = Median Applicant Income for Home Purchase Loan Originated, $1k

MED_INCOME_PURCH_LOAN_DEND_1K = Median Applicant Income for Home Purchase Loan Denied, $1k

MED_INCOME_REFI_LOAN_APLD_1K = Median Applicant Income for Home Refinancing Loan Applied for, $1k

MED_INCOME_REFI_LOAN_ORIG_1K = Median Applicant Income for Home Refinancing Loan Originated, $1k

MED_INCOME_REFI_LOAN_DEND_1K = Median Applicant Income for Home Refinancing Loan Denied, $1k

LOANS_ORIG_PER_SQ_MI_2013 = Loans Originated per Square Mile, 2013

HOME_PURCH_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Purchase per Square Mile, 2013

HOME_REFI_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Refinancing per Square Mile, 2013

PCT_LOAN_APPS_ORIG_2013 = % of Loan Applications Originated, 2013

PCT_HOME_PURCH_LN_APPS_ORG_2013 = % of Home Purchase Loan Applications Originated, 2013

PCT_HOME_REFI_LN_APPS_ORG_2013 = % of Home Refinancing Loan Applications Originated, 2013

last_edited_date = Last date the feature was edited by ARC

Source: Home Mortgage Disclosure Act (HMDA), Atlanta Regional Commission

Date: 2013

For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.

This table provides comparative data for 2004, 2007, 2013, 2018 and 2022 on the estimated average amount of mortgage and rental payments. The information is disaggregated territorially at the level of large regions of the Canary Islands.

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2009-2013 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2009-2013 5-Year American Community Survey