30 Year Mortgage Rate in the United States increased to 6.11 percent in February 5 from 6.10 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

Fixed 30-year mortgage rates in the United States averaged 6.21 percent in the week ending January 30 of 2026. This dataset provides the latest reported value for - United States MBA 30-Yr Mortgage Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

View weekly updates and historical trends for 30 Year Mortgage Rate. from United States. Source: Freddie Mac. Track economic data with YCharts analytics.

15 Year Mortgage Rate in the United States increased to 5.50 percent in February 5 from 5.49 percent in the previous week. This dataset includes a chart with historical data for the United States 15 Year Mortgage Rate.

Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2026-02-05 about 15-year, mortgage, fixed, interest rate, interest, rate, and USA.

Switzerland Mortgage Rate: Fixed: by Maturity: 10 Years data was reported at 1.779 % pa in Sep 2018. This records an increase from the previous number of 1.697 % pa for Aug 2018. Switzerland Mortgage Rate: Fixed: by Maturity: 10 Years data is updated monthly, averaging 2.290 % pa from Jan 2008 (Median) to Sep 2018, with 129 observations. The data reached an all-time high of 4.700 % pa in Jun 2008 and a record low of 1.520 % pa in Sep 2016. Switzerland Mortgage Rate: Fixed: by Maturity: 10 Years data remains active status in CEIC and is reported by Swiss National Bank. The data is categorized under Global Database’s Switzerland – Table CH.M005: Mortgage Rates.

Switzerland Mortgage Rate: Fixed: by Maturity: 5 Years data was reported at 1.252 % pa in Sep 2018. This records an increase from the previous number of 1.201 % pa for Aug 2018. Switzerland Mortgage Rate: Fixed: by Maturity: 5 Years data is updated monthly, averaging 1.580 % pa from Jan 2008 (Median) to Sep 2018, with 129 observations. The data reached an all-time high of 4.500 % pa in Jun 2008 and a record low of 1.170 % pa in May 2017. Switzerland Mortgage Rate: Fixed: by Maturity: 5 Years data remains active status in CEIC and is reported by Swiss National Bank. The data is categorized under Global Database’s Switzerland – Table CH.M005: Mortgage Rates.

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.

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.

Financial Access and Usage

Global Comparative Ratios Across 189 Jurisdictions

By International Monetary Fund [source]

About this dataset

This dataset provides an unprecedented opportunity to explore global financial access and usage trends from 2004-2016 from 189 of the world's reporting jurisdictions—which cover over 99 percent of the total adult population. With 152 time series and 47 indicator ratios, this Financial Access Survey gives insight into ways that access to and usage of financial services differ by households vs small/medium enterprises, life vs non-life insurance, deposits & microfinance institutions as well as credit unions & financial cooperatives. Utilizing this data, we can gain a better understanding of how policies or shifts in the global economy may influence or relate to access or utilization of services in certain regions while having comparable cross-economy comparisons. The IMF Monetary and Financial Statistics Manual Compilation Guide is utilized for all methodologies used in accumulating these datasets, while all data is available “as-is” with no guarantee provided either express or implied. Are you looking for ways to implement insightful macroeconomic analyses? Download FAS 2004–2016 now!

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

The Financial Access Survey provides global supply-side data on access to and usage of financial services by households and firms for 189 reporting jurisdictions, covering 99 percent of the world’s adult population. With a robust selection of time series in this dataset, users can make meaningful insights into trends over time or across countries concerning various indicators related to access and usage of financial services. To help users navigate this large dataset, the following guide explains how to use the data most effectively.

Understanding The Dataset Columns

The columns in the dataset provide information about each indicator such as country name, indicator name, code for that indicator, its attribute (i.e., rate/ratio), when data is available for that particular indicator. Once you have identified an interesting measure/indicator whether it be credit union density or life insurance penetration rate measure in a given country during a certain year period then you can look up those numbers from the rows provided in this dataset .

Understanding The Different Years Available & Comparing Numbers Over Time

It is useful for users to compare different indicators over time by looking at specific years within this dataset which will allow us to see if rates are increasing or decreasing worldwide patterns across these trends among different countries based on these various measures listed provided in this survey such as mortgage lending rate or ratio GDP per capita etc that have been collected . We can therefore make use of our knowledge off economic changes that have occurred over time within certain parts of world , no matter if they are longer term economic effects due increases certain capabilities within a geographical area or shorter term changes due taxation laws by governments etc driving some people either towards using or away from using certain kinds financial products .

#### Comparing Between Countries

This datasets allows us direct comparisons between different countries with regards how many people are currently making use particular types off finances services , we certainly be able analyse current international relationships between services providers as well customers where ever concerned about particular attributes mentioned above whether being deposit interest rates small business credits terms tenders so forth . Knowing more about related dynamics helps build better user experiences with providers who understand needs risks impacts generating larger customer bases globally which often beneficial both parties involved exchange relationship so not forget always keep cross border motif whenever eye process from afar !

Research Ideas

• Comparing the access to and usage of financial services in different countries to better inform research policy decisions.
• Analyzing trends in financial access and usage by jurisdiction over time, to identify areas needing improvement in order to promote financial inclusion and stability.
• Cross-referencing FAS data with macroeconomic indicators such as GDP information to measure the potential impact of changes in level of access on economic growth or other metrics specific to a country or region of interest

Acknowledgements

If you use this dataset in yo...

Graph and download economic data for Bank Prime Loan Rate Changes: Historical Dates of Changes and Rates (PRIME) from 1955-08-04 to 2025-12-11 about prime, loans, interest rate, interest, banks, depository institutions, rate, and USA.

Switzerland Mortgage Rate: Fixed: by Maturity: 1 Year data was reported at 1.089 % pa in Sep 2018. This records an increase from the previous number of 1.086 % pa for Aug 2018. Switzerland Mortgage Rate: Fixed: by Maturity: 1 Year data is updated monthly, averaging 1.410 % pa from Jan 2008 (Median) to Sep 2018, with 129 observations. The data reached an all-time high of 4.200 % pa in Jun 2008 and a record low of 1.068 % pa in Dec 2017. Switzerland Mortgage Rate: Fixed: by Maturity: 1 Year data remains active status in CEIC and is reported by Swiss National Bank. The data is categorized under Global Database’s Switzerland – Table CH.M005: Mortgage Rates.

Mortgage credit interest rate, percent in the Czechia, October, 2025 The most recent value is 3.79 percent as of October 2025, an increase compared to the previous value of 3.76 percent. Historically, the average for the Czechia from January 2002 to October 2025 is 4.22 percent. The minimum of 2.4 percent was recorded in July 2021, while the maximum of 7.65 percent was reached in February 2002. | TheGlobalEconomy.com

Switzerland Mortgage Rate: Fixed: by Maturity: 3 Years data was reported at 1.121 % pa in Sep 2018. This records an increase from the previous number of 1.109 % pa for Aug 2018. Switzerland Mortgage Rate: Fixed: by Maturity: 3 Years data is updated monthly, averaging 1.300 % pa from Jan 2008 (Median) to Sep 2018, with 129 observations. The data reached an all-time high of 4.380 % pa in Jun 2008 and a record low of 1.090 % pa in May 2017. Switzerland Mortgage Rate: Fixed: by Maturity: 3 Years data remains active status in CEIC and is reported by Swiss National Bank. The data is categorized under Global Database’s Switzerland – Table CH.M005: Mortgage Rates.

Greece Lending Rate: Outstanding Amount (OA): Households: Mortgage Loans: Over 1 and Up to 5 Years data was reported at 4.556 % pa in Sep 2018. This records an increase from the previous number of 4.554 % pa for Aug 2018. Greece Lending Rate: Outstanding Amount (OA): Households: Mortgage Loans: Over 1 and Up to 5 Years data is updated monthly, averaging 4.574 % pa from Sep 2002 (Median) to Sep 2018, with 193 observations. The data reached an all-time high of 6.580 % pa in May 2003 and a record low of 3.353 % pa in Jul 2016. Greece Lending Rate: Outstanding Amount (OA): Households: Mortgage Loans: Over 1 and Up to 5 Years data remains active status in CEIC and is reported by Bank of Greece. The data is categorized under Global Database’s Greece – Table GR.M005: Lending Rates.

Switzerland Mortgage Rate: Fixed: by Maturity: 7 Years data was reported at 1.487 % pa in Sep 2018. This records an increase from the previous number of 1.412 % pa for Aug 2018. Switzerland Mortgage Rate: Fixed: by Maturity: 7 Years data is updated monthly, averaging 1.910 % pa from Jan 2008 (Median) to Sep 2018, with 129 observations. The data reached an all-time high of 4.610 % pa in Jun 2008 and a record low of 1.320 % pa in Sep 2016. Switzerland Mortgage Rate: Fixed: by Maturity: 7 Years data remains active status in CEIC and is reported by Swiss National Bank. The data is categorized under Global Database’s Switzerland – Table CH.M005: Mortgage Rates.

Freddie Mac Single-Family Loan-Level Dataset.

.This is a publicly available dataset containing detailed, anonymized information on a significant portion of the U.S. residential mortgage market. For this analysis, the "Standard Dataset" is used, which includes loan-level origination, monthly performance, and actual loss data for fully amortizing, fixed-rate single-family mortgages acquired by Freddie Mac. The specific data utilized covers all quarterly vintages from the beginning of 2018 through the end of 2019.

The dataset is provided by Freddie Mac at the direction of its regulator, the Federal Housing Finance Agency (FHFA), to increase transparency and support the development of more accurate credit performance models. It is structured into two primary components for each calendar quarter of loan originations:

Origination Data File:

This file contains a comprehensive set of static, time-of-origination characteristics for each loan. Key variables selected for this analysis include, but are not limited to:

Credit Score: The borrower's credit score at the time of origination, a primary indicator of creditworthiness.

Original Combined Loan-to-Value (CLTV): The ratio of all mortgage loan amounts to the property's appraised value at origination.

Original Debt-to-Income (DTI) Ratio: The borrower's total monthly debt payments divided by their gross monthly income at underwriting.

Original Unpaid Principal Balance (UPB): The initial size of the mortgage loan.

Original Interest Rate: The interest rate stated on the original mortgage note.

Loan Purpose: Indicates whether the loan was for a home purchase or a refinance.

Property State: The geographical location of the mortgaged property.

Monthly Performance Data File:

This file provides a dynamic, longitudinal record of each loan's performance over time, with one entry per loan for each month it is active. This file is crucial for identifying default events. Key variables include:

Loan Sequence Number: A unique identifier that links the performance data back to the origination data for a specific loan.

Monthly Reporting Period: The specific month and year of the performance record.

Current Actual UPB: The remaining principal balance on the loan for that month.

Current Loan Delinquency Status: A critical variable indicating the number of days the borrower is delinquent. A loan is typically considered in default for modeling purposes when it reaches 90 or more days delinquent. This status is the primary target variable for the credit risk model.

Zero Balance Code: A code indicating the reason a loan's balance was reduced to zero, such as "Prepaid or Matured," "Short Sale or Charge Off," or "REO Disposition." These codes are used to identify the final outcome of a loan, particularly credit-related terminations.

Due to borrower privacy considerations, certain data elements are masked. For instance, all dates are provided only as month and year, and origination loan amounts are rounded.

Chile Mortgage Rate: Mortgage Loan: Endorsable: Term: 12 to 20 Years data was reported at 3.577 % pa in Jan 2018. This records an increase from the previous number of 3.479 % pa for Dec 2017. Chile Mortgage Rate: Mortgage Loan: Endorsable: Term: 12 to 20 Years data is updated monthly, averaging 4.937 % pa from Dec 2000 (Median) to Jan 2018, with 206 observations. The data reached an all-time high of 8.679 % pa in Jan 2001 and a record low of 3.150 % pa in Jul 2017. Chile Mortgage Rate: Mortgage Loan: Endorsable: Term: 12 to 20 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.M008: Mortgage Rate.

Indonesia Banking Survey: Loan Interest Rate: Whole Year Estimation: in USD: Investment data was reported at 6.566 % in Mar 2025. This records an increase from the previous number of 6.446 % for Dec 2024. Indonesia Banking Survey: Loan Interest Rate: Whole Year Estimation: in USD: Investment data is updated quarterly, averaging 6.330 % from Mar 2012 (Median) to Mar 2025, with 53 observations. The data reached an all-time high of 6.961 % in Sep 2023 and a record low of 4.454 % in Mar 2022. Indonesia Banking Survey: Loan Interest Rate: Whole Year Estimation: in USD: Investment data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Business and Economic Survey – Table ID.SE003: Banking Survey: Interest Rate. [COVID-19-IMPACT]

Graph and download economic data for Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks (DRSFRMACBS) from Q1 1991 to Q3 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, residential, commercial, domestic, family, banks, depository institutions, rate, and USA.