This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).

Existing Home Sales in the United States increased to 4030 Thousand in May from 4000 Thousand in April of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

House price index is based on average new house price value at loan approval stage and therefore has not been adjusted for changes in the mix of houses and apartments sold. Interest rates is based on building societies mortgage loans, published by Central Statistics Office up to 2007.
From 2008 interest rates is average rate of all 'mortgage lenders' reporting to the Central Bank.
From 2014 it is based on the floating rate for new customers as published by the Central Bank (Retail interest rates - Table B2.1). The reason for the drop between 2013 and 2014 is due to the difference in methodology - the 2014 data is the weighted average rate on new loan agreements. Further information can be found here:
http://www.centralbank.ie/polstats/stats/cmab/Documents/Retail_Interest_Rate_Statistics_Explanatory_Notes.pdf
Earnings is based on the average weekly earnings of adult workers in manufacturing industries, published by the Central Statistics Office. This series has been updated since 1996 using a new methodology and therefore it is not directly comparable with those for earlier years. House Construction Cost Index is based on the 1st day of the third month of each quarter.
Consumer Price index is based on the Consumer Price Index, published by the Central Statistics Office.
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.

Analysis of ‘Annual Market Information Indices’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-data-usmart-io-org-ae1d5c14-c392-4c3f-9705-537427eeb413-dataset-viewdiscovery-datasetguid-c410c7a0-14c3-442b-b75f-4c230ec59406 on 13 January 2022.

--- Dataset description provided by original source is as follows ---

House price index is based on average new house price value at loan approval stage and therefore has not been adjusted for changes in the mix of houses and apartments sold. Interest rates is based on building societies mortgage loans, published by Central Statistics Office up to 2007.
From 2008 interest rates is average rate of all 'mortgage lenders' reporting to the Central Bank.
From 2014 it is based on the floating rate for new customers as published by the Central Bank (Retail interest rates - Table B2.1). The reason for the drop between 2013 and 2014 is due to the difference in methodology - the 2014 data is the weighted average rate on new loan agreements. Further information can be found here:
http://www.centralbank.ie/polstats/stats/cmab/Documents/Retail_Interest_Rate_Statistics_Explanatory_Notes.pdf
Earnings is based on the average weekly earnings of adult workers in manufacturing industries, published by the Central Statistics Office. This series has been updated since 1996 using a new methodology and therefore it is not directly comparable with those for earlier years. House Construction Cost Index is based on the 1st day of the third month of each quarter.
Consumer Price index is based on the Consumer Price Index, published by the Central Statistics Office.
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.

--- Original source retains full ownership of the source dataset ---

The benchmark interest rate in Mexico was last recorded at 8 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

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

Lending Rate: RUB Mortgage Loans: YB: SF: Volgograd Region data was reported at 7.650 % pa in Mar 2025. This records a decrease from the previous number of 8.050 % pa for Feb 2025. Lending Rate: RUB Mortgage Loans: YB: SF: Volgograd Region data is updated monthly, averaging 11.830 % pa from Dec 2008 (Median) to Mar 2025, with 196 observations. The data reached an all-time high of 14.640 % pa in Mar 2015 and a record low of 6.100 % pa in May 2022. Lending Rate: RUB Mortgage Loans: YB: SF: Volgograd Region data remains active status in CEIC and is reported by Bank of Russia. The data is categorized under Russia Premium Database’s Interest and Foreign Exchange Rates – Table RU.MB010: Lending Rate: RUB Housing Loans: ow Mortgage: by Region: Average from Year Beginning.

Lending Rate: Foreign Currencies Mortgage Loans: YB: NW: Arkhangelsk Region: ow Nenetsky Area data was reported at 11.500 % pa in Dec 2012. This records an increase from the previous number of 7.000 % pa for Dec 2008. Lending Rate: Foreign Currencies Mortgage Loans: YB: NW: Arkhangelsk Region: ow Nenetsky Area data is updated monthly, averaging 9.250 % pa from Dec 2008 to Dec 2012, with 2 observations. The data reached an all-time high of 11.500 % pa in Dec 2012 and a record low of 7.000 % pa in Dec 2008. Lending Rate: Foreign Currencies Mortgage Loans: YB: NW: Arkhangelsk Region: ow Nenetsky Area data remains active status in CEIC and is reported by The Central Bank of the Russian Federation. The data is categorized under Russia Premium Database’s Interest and Foreign Exchange Rates – Table RU.MB012: Lending Rate: Foreign Currencies Housing Loans: ow Mortgage: by Region: Average from Year Beginning.

Lending Rate: Foreign Currencies Mortgage Loans: YB: UF: Tumen Region: ow Yamalo Nenetsky Area data was reported at 8.300 % pa in Dec 2013. This stayed constant from the previous number of 8.300 % pa for Nov 2013. Lending Rate: Foreign Currencies Mortgage Loans: YB: UF: Tumen Region: ow Yamalo Nenetsky Area data is updated monthly, averaging 8.500 % pa from Dec 2008 (Median) to Dec 2013, with 18 observations. The data reached an all-time high of 10.900 % pa in Dec 2008 and a record low of 8.000 % pa in Dec 2009. Lending Rate: Foreign Currencies Mortgage Loans: YB: UF: Tumen Region: ow Yamalo Nenetsky Area data remains active status in CEIC and is reported by Bank of Russia. The data is categorized under Russia Premium Database’s Interest and Foreign Exchange Rates – Table RU.MB012: Lending Rate: Foreign Currencies Housing Loans: ow Mortgage: by Region: Average from Year Beginning.

Lending Rate: Foreign Currencies Mortgage Loans: YB: NC: Chechen Republic data was reported at 12.000 % pa in Dec 2014. This stayed constant from the previous number of 12.000 % pa for Nov 2014. Lending Rate: Foreign Currencies Mortgage Loans: YB: NC: Chechen Republic data is updated monthly, averaging 12.000 % pa from Dec 2008 (Median) to Dec 2014, with 26 observations. The data reached an all-time high of 13.500 % pa in Dec 2011 and a record low of 11.400 % pa in Dec 2008. Lending Rate: Foreign Currencies Mortgage Loans: YB: NC: Chechen Republic data remains active status in CEIC and is reported by Bank of Russia. The data is categorized under Russia Premium Database’s Interest and Foreign Exchange Rates – Table RU.MB012: Lending Rate: Foreign Currencies Housing Loans: ow Mortgage: by Region: Average from Year Beginning.

The Federal Housing Finance Agency (FHFA) today issued its annual report on single-family guarantee fees charged by Fannie Mae and Freddie Mac (the Enterprises). Guarantee fees are intended to cover the credit risk and other costs that the Enterprises incur when they acquire single-family loans from lenders. These costs include projected credit losses from borrower defaults over the life of the loans, administrative costs, and a return on capital. The report compares year-over-year 2020 to 2019 and provides statistics back to 2018. Significant findings of the report include: For all loan products combined, the average single-family guarantee fee in 2020 decreased 2 basis points to 54 basis points. The upfront portion of the guarantee fee, which is based on the credit risk attributes (e.g., loan purpose, loan-to-value (LTV) ratio, and credit score), decreased 2 basis points to 11 basis points on average. The ongoing portion of the guarantee fee, which is based on the product type (fixed-rate or adjustable-rate, and loan term), remained unchanged at 43 basis points on average. The average guarantee fee in 2020 on 30-year and 15-year fixed rate loans remained unchanged at 58 basis points and 36 basis points, respectively. The fee on adjustable-rate mortgage (ARM) loans increased 1 basis point to 57 basis points. The Housing and Economic Recovery Act of 2008 requires FHFA to conduct ongoing studies of the guarantee fees charged by the Enterprises and to submit a report to Congress each year.

The Federal Housing Finance Agency (FHFA) is an independent regulatory agency that is not part of the Department of Housing and Urban Development (HUD).

The FHFA was established by the Housing and Economic Recovery Act of 2008 (HERA) and is responsible for the effective supervision, regulation, and housing mission oversight of Fannie Mae, Freddie Mac (the Enterprises), Common Securitization Solutions, LLC (CSS), and the Federal Home Loan Bank System, which includes the 11 Federal Home Loan Banks (FHLBanks) and the Office of Finance. Since 2008, FHFA has also served as conservator of Fannie Mae and Freddie Mac.

Conforming Loan Limits are mortgage limits set annually (as required by HERA) by the FHFA. In order for a mortgage loan to be eligible to be insured by Freddie Mac or Fannie Mae, the loan amount must be less than the loan limit. Mortgage exceeding the Conforming Loan Limit are referred to as "non-conforming loans" or "jumbo loans." While most counties use a single set of Conforming Loan Limits based on the number of units, high cost of living counties use higher Conforming Loan Limits. The FHFA analyzes year-over-year change in average home prices in October of each year using the Monthly Interest Rate Survey (MIRS) to adjust the Conforming Loan Limits for the upcoming year.

Geospatial data in this feature service uses the Census 2010 County geographies.

To learn more about about the FHFA, please visit:https://www.fhfa.gov/AboutUs



For more information about FHFA Conforming Loan Limits, please visit:https://www.fhfa.gov/DataTools/Downloads/Pages/Conforming-Loan-Limits.aspx, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. 

Date of Coverage: 2022 Data Dictionary:DD_FHFA Conforming Loan Limits

Abstract copyright UK Data Service and data collection copyright owner.

The Family Resources Survey (FRS) has been running continuously since 1992 to meet the information needs of the Department for Work and Pensions (DWP). It is almost wholly funded by DWP.

The FRS collects information from a large, and representative sample of private households in the United Kingdom (prior to 2002, it covered Great Britain only). The interview year runs from April to March.

The focus of the survey is on income, and how much comes from the many possible sources (such as employee earnings, self-employed earnings or profits from businesses, and dividends; individual pensions; state benefits, including Universal Credit and the State Pension; and other sources such as savings and investments). Specific items of expenditure, such as rent or mortgage, Council Tax and water bills, are also covered.

Many other topics are covered and the dataset has a very wide range of personal characteristics, at the adult or child, family and then household levels. These include education, caring, childcare and disability. The dataset also captures material deprivation, household food security and (new for 2021/22) household food bank usage.

The FRS is a national statistic whose results are published on the gov.uk website. It is also possible to create your own tables from FRS data, using DWP’s Stat Xplore tool. Further information can be found on the gov.uk Family Resources Survey webpage.

Secure Access FRS data
In addition to the standard End User Licence (EUL) version, Secure Access datasets, containing unrounded data and additional variables, are also available for FRS from 2005/06 onwards - see SN 9256. Prospective users of the Secure Access version of the FRS will need to fulfil additional requirements beyond those associated with the EUL datasets. Full details of the application requirements are available from Guidance on applying for the Family Resources Survey: Secure Access.

FRS, HBAI and PI
The FRS underpins the related Households Below Average Income (HBAI) dataset, which focuses on poverty in the UK, and the related Pensioners' Incomes (PI) dataset. The EUL versions of HBAI and PI are held under SNs 5828 and 8503, respectively. The Secure Access versions are held under SN 7196 and 9257 (see above).

The FRS aims to: support the monitoring of the social security programme; support the costing and modelling of changes to national insurance contributions and social security benefits; provide better information for the forecasting of benefit expenditure.
From April 2002, the FRS was extended to include Northern Ireland.

Detailed information regarding anonymisation within the FRS can be found in the anonymised variables volume of the dataset documentation.

For the second edition (October 2014) the data have been re-grossed following revision of the FRS grossing methodology to take account of the 2011 Census mid-year population estimates. New variable GROSS4 has been added to the dataset.


Main Topics:

Household characteristics (composition, tenure type); tenure and housing costs including Council Tax, mortgages, insurance, water and sewage rates; school milk and meals; educational grants and loans; children in education; informal care (given and received); childcare; occupation and employment; health restrictions on work; children's health; wage details; self-employed earnings; personal and occupational pension schemes; income and benefit receipt; income from pensions and trusts, royalties and allowances, maintenance and other sources; income tax payments and refunds; National Insurance contributions; earnings from odd jobs; children's earnings; interest and dividends; investments; National Savings products; assets.

Standard Measures
Standard Occupational Classification

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

Lending Rate: RUB Mortgage Loans: YB: Far East Federal District (FE) data was reported at 6.490 % pa in Oct 2021. This records a decrease from the previous number of 6.780 % pa for Sep 2021. Lending Rate: RUB Mortgage Loans: YB: Far East Federal District (FE) data is updated monthly, averaging 12.260 % pa from Dec 2008 to Oct 2021, with 155 observations. The data reached an all-time high of 15.060 % pa in Aug 2009 and a record low of 6.380 % pa in Jan 2021. Lending Rate: RUB Mortgage Loans: YB: Far East Federal District (FE) data remains active status in CEIC and is reported by The Central Bank of the Russian Federation. The data is categorized under Russia Premium Database’s Interest and Foreign Exchange Rates – Table RU.MB010: Lending Rate: RUB Housing Loans: ow Mortgage: by Region: Average from Year Beginning.

Lending Rate: Foreign Currencies Mortgage Loans: YB: VR: Republic of Marii El data was reported at 10.290 % pa in Dec 2013. This stayed constant from the previous number of 10.290 % pa for Nov 2013. Lending Rate: Foreign Currencies Mortgage Loans: YB: VR: Republic of Marii El data is updated monthly, averaging 9.800 % pa from Dec 2008 (Median) to Dec 2013, with 43 observations. The data reached an all-time high of 11.000 % pa in Dec 2008 and a record low of 8.300 % pa in Sep 2011. Lending Rate: Foreign Currencies Mortgage Loans: YB: VR: Republic of Marii El data remains active status in CEIC and is reported by Bank of Russia. The data is categorized under Russia Premium Database’s Interest and Foreign Exchange Rates – Table RU.MB012: Lending Rate: Foreign Currencies Housing Loans: ow Mortgage: by Region: Average from Year Beginning.

Russia Lending Rate: Foreign Currencies Mortgage Loans: YB: NC: Republic of Ingushetia data was reported at 12.200 % pa in Dec 2008. Russia Lending Rate: Foreign Currencies Mortgage Loans: YB: NC: Republic of Ingushetia data is updated monthly, averaging 12.200 % pa from Dec 2008 (Median) to Dec 2008, with 1 observations. Russia Lending Rate: Foreign Currencies Mortgage Loans: YB: NC: Republic of Ingushetia data remains active status in CEIC and is reported by The Central Bank of the Russian Federation. The data is categorized under Russia Premium Database’s Interest and Foreign Exchange Rates – Table RU.MB012: Lending Rate: Foreign Currencies Housing Loans: ow Mortgage: by Region: Average from Year Beginning.

Lending Rate: Foreign Currencies Mortgage Loans: YB: UF: Chelyabinsk Region data was reported at 8.140 % pa in Dec 2014. This records an increase from the previous number of 8.080 % pa for Nov 2014. Lending Rate: Foreign Currencies Mortgage Loans: YB: UF: Chelyabinsk Region data is updated monthly, averaging 9.220 % pa from Dec 2008 (Median) to Dec 2014, with 66 observations. The data reached an all-time high of 13.500 % pa in Jan 2009 and a record low of 6.300 % pa in Mar 2014. Lending Rate: Foreign Currencies Mortgage Loans: YB: UF: Chelyabinsk Region data remains active status in CEIC and is reported by Bank of Russia. The data is categorized under Russia Premium Database’s Interest and Foreign Exchange Rates – Table RU.MB012: Lending Rate: Foreign Currencies Housing Loans: ow Mortgage: by Region: Average from Year Beginning.