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.
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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.
Mortgage interest rates in the UK were on a downward trend for more than a decade before soaring in 2022. In the fourth quarter of 2024, the average weighted interest rate stood at **** percent — nearly ***** times the interest rate in the fourth quarter of 2021. Mortgage rates also vary depending on the type of mortgage: Historically, fixed rate mortgages with a shorter term had on average lower interest rates. What types of mortgages are there? In terms of the type of interest rate, mortgages can be fixed and variable. A fixed interest rate is simply a mortgage where the rate of repayment is fixed, while a variable rate depends on the lender’s underlying variable interest rate. Furthermore, mortgages could be for a house purchase or for refinancing. The vast majority of mortgages in the UK are fixed rate mortgages for house purchase, and only a small share is for remortgaging. How big is the UK mortgage market? The UK has the largest mortgage market in Europe, amounting to nearly ***billion euros in gross residential mortgage lending as of the second quarter of 2023. When comparing the total outstanding residential mortgage lending, the UK also ranks first with about *** trillion euros.
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.
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.
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.
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.
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.
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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.
In the United States, interest rates for all mortgage types started to increase in 2021. This was due to the Federal Reserve introducing a series of hikes in the federal funds rate to contain the rising inflation. In the fourth quarter of 2024, the 30-year fixed rate rose slightly, to **** percent. Despite the increase, the rate remained below the peak of **** percent in the same quarter a year ago. Why have U.S. home sales decreased? Cheaper mortgages normally encourage consumers to buy homes, while higher borrowing costs have the opposite effect. As interest rates increased in 2022, the number of existing homes sold plummeted. Soaring house prices over the past 10 years have further affected housing affordability. Between 2013 and 2023, the median price of an existing single-family home risen by about ** percent. On the other hand, the median weekly earnings have risen much slower. Comparing mortgage terms and rates Between 2008 and 2023, the average rate on a 15-year fixed-rate mortgage in the United States stood between **** and **** percent. Over the same period, a 30-year mortgage term averaged a fixed-rate of between **** and **** percent. Rates on 15-year loan terms are lower to encourage a quicker repayment, which helps to improve a homeowner’s equity.
The quarterly releases are released by the Ministry of Justice and produced in accordance with arrangements approved by the UK Statistics Authority. The bulletin presents the latest statistics on the numbers of mortgage and landlord possession actions in the county courts of England and Wales. These statistics are a leading indicator of the number of properties to be repossessed and the only source of sub-national possession information. In addition to monitoring court workloads, they are used to assist in the development, monitoring and evaluation of policy both nationally and locally.
The number of mortgage possession claims in County Courts increased from 2003 to a peak in 2008, but has fallen 70% since then to 12,882 in the second quarter of 2013. The fall in mortgage claims has been spread evenly across all regions of the country.
The fall in the number of mortgage possession claims since 2008 coincides with lower interest rates, a proactive approach from lenders in managing consumers in financial difficulties and other interventions from the government, such as the Mortgage Rescue Scheme.
At the same time the number of claims rose, the estimated proportion of claims which have progressed to an order, warrant or repossession by county court bailiffs also increased from 2003 to around 2009 or 2010, but has fallen slightly since.
The number of landlord possession claims in County Courts fell from 2003 to 2008, but has increased since then by 8% to 39,293 in the second quarter of 2013. The increase has been higher in London than in other regions of the country.
The estimated proportion of claims which have progressed to an order, warrant or repossession by county court bailiffs have been increasing slightly since 2009.
We have made some changes to this bulletin, which are outlined below. These changes were announced in the previous bulletin and feedback was sought. Feedback did not show opposition to these proposals.
Seasonally adjusted figures:
We have discontinued production of these tables, as feedback suggested limited customer use, as customers prefer the clarity of using actual figures rather than adjusted figures.
Tables 5 and 6:
We have discontinued production of Tables 5 and 6 which provided breakdowns at the national level of landlord possession claims and claims lead to orders by type of landlord and procedure. Instead information at the local level is provided in the supplementary CSV. This provides users with the local picture regarding this data and allows users to aggregate it in ways that suit their own needs. Those users who would prefer to use the tables can request them from the Ministry of Justice using the contact provided at the end of this report.
Measuring the volume of orders, warrants and repossessions:
Previously, the figures presented in this bulletin were claims that lead to orders, claims that lead to warrants, and claims that lead to repossessions. This counted the number of orders, warrants or repossessions that are unique to a claim, so that if one claim had two or more orders only the first was counted. In this bulletin, they have been replaced with the total number of orders, warrants and repossessions. We believe this will be simpler to understand and will be a more accurate reflection of the court workload. Annex C provides more details on these changes.
Mortgage and landlord possession statistical tables (CSV):
This CSV contained the same information as the main tables with some additional breakdowns between 1999 and 2007 by quarter. We discontinued production of this output. Feedback from customers suggests there is rather limited use of this output, as customers find the main tables more straightforward to understand and can find quarterly information from the other supplementary CSV, which also provide local breakdowns on a quarterly basis.
As a result of these proposed changes the possessions publication consists of a
Revisions: The statistics for the second quarter of 2013 are provisional, and are therefore liable to revision to take account of any late amendments to the administrative databases from which these statistics are sourced. The standard process for revising the published statistics to account for these late amendments is as follows. An initial
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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
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Mortgage credit interest rate, percent in Turkey, June, 2025 The most recent value is 43.23 percent as of June 2025, a decline compared to the previous value of 43.56 percent. Historically, the average for Turkey from January 2002 to June 2025 is 20.41 percent. The minimum of 8.3 percent was recorded in June 2013, while the maximum of 58.45 percent was reached in January 2002. | TheGlobalEconomy.com
This statistical release presents official statistics on the government’s Help to Buy: mortgage guarantee scheme. It presents statistics on the number of mortgage completions, types and values of properties, borrower incomes and breakdowns by various geographical areas and covers the period from its launch on 8 October 2013 to 30 June 2017. It is the fourteenth and final official statistics release concerning the Help to Buy: mortgage guarantee scheme, which closed to all mortgage completions on 30 June 2017.
The data is provided by UK Asset Resolution corporate services (UKARcs) who administer the scheme on behalf of the Treasury.
Future information on the value of the government guarantee and the number and value of claims made on the guarantee will continue to be made available in HM Treasury’s annual report and accounts.
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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
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.
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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
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Mortgage credit interest rate, percent in Cyprus, March, 2025 The most recent value is 3.94 percent as of March 2025, an increase compared to the previous value of 3.81 percent. Historically, the average for Cyprus from November 2007 to March 2025 is 4.2 percent. The minimum of 1.65 percent was recorded in April 2021, while the maximum of 6.65 percent was reached in November 2013. | TheGlobalEconomy.com
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Graph and download economic data for Bank Prime Loan Rate Changes: Historical Dates of Changes and Rates (PRIME) from 1955-08-04 to 2024-12-20 about prime, loans, interest rate, banks, interest, depository institutions, rate, and USA.
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Ukraine Refinancing Rate: NBU: Annual: Weighted Avg: Tender data was reported at 15.720 % pa in 2017. This records a decrease from the previous number of 17.730 % pa for 2016. Ukraine Refinancing Rate: NBU: Annual: Weighted Avg: Tender data is updated yearly, averaging 15.720 % pa from Dec 1994 (Median) to 2017, with 21 observations. The data reached an all-time high of 264.000 % pa in 1994 and a record low of 6.760 % pa in 2013. Ukraine Refinancing Rate: NBU: Annual: Weighted Avg: Tender data remains active status in CEIC and is reported by National Bank of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.M007: Refinancing Rates: National Bank of Ukraine.
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.