30 Year Mortgage Rate in the United States increased to 6.67 percent in March 20 from 6.65 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

Long term dataset showing the 30 year fixed rate mortgage average in the United States since 1971.

The FHFA House Price Index (FHFA HPI®) is the nation’s only collection of public, freely available house price indexes that measure changes in single-family home values based on data from all 50 states and over 400 American cities that extend back to the mid-1970s. The FHFA HPI incorporates tens of millions of home sales and offers insights about house price fluctuations at the national, census division, state, metro area, county, ZIP code, and census tract levels. FHFA uses a fully transparent methodology based upon a weighted, repeat-sales statistical technique to analyze house price transaction data. ​ What does the FHFA HPI represent? The FHFA HPI is a broad measure of the movement of single-family house prices. The FHFA HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975. The FHFA HPI serves as a timely, accurate indicator of house price trends at various geographic levels. Because of the breadth of the sample, it provides more information than is available in other house price indexes. It also provides housing economists with an improved analytical tool that is useful for estimating changes in the rates of mortgage defaults, prepayments and housing affordability in specific geographic areas. U.S. Federal Housing Finance Agency, All-Transactions House Price Index for Connecticut [CTSTHPI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CTSTHPI, August 2, 2023.

This dataset offers a detailed analysis of mortgage delinquency rates across the U.S., specifically focusing on mortgages that are over 90 days late from January 2008 to March 2023. It includes monthly data for each state and the national average, with each column representing the percentage of severely delinquent mortgages for a given month and year. This data is crucial for understanding the trends in mortgage delinquencies over a fifteen-year period, providing insights into the health of the housing market, the economic conditions across different states, and the impact of economic factors and policy changes on homeowners' financial stability.

Existing Home Sales in the United States increased to 4260 Thousand in February from 4090 Thousand in January 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.

The Real Estate Data Atlas provides the latest real estate statistics that affect the industry and helps to identify new trends and anticipate the future of the sector. It includes data on sales activity, average home prices, building permits, ownership and vacancy rates and mortgage issuance.

Topics covered: Property prices Housing sales Vacancy rates Mortgage debt Returns by property sector Building permits

Fixed 30-year mortgage rates in the United States averaged 6.71 percent in the week ending March 21 of 2025. 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.

This dataset offers a detailed monthly overview of mortgage loan characteristics from 1986 to 2019. It includes vital metrics such as contract interest rates, initial fees and charges, effective interest rates, terms to maturity, mortgage loan amounts, purchase prices, and loan-to-price ratios. This extensive dataset is an invaluable resource for financial analysts, real estate market researchers, and economists seeking to understand long-term trends and patterns in the mortgage market. Its granularity and time span make it particularly useful for historical analysis, market forecasting, and policy formulation in the housing finance sector. The dataset's consistency in structure over the years aids in comparative analysis and trend identification across different economic cycles. ​​

Mortgage Application in the United States decreased by 2 percent in the week ending March 21 of 2025 over the previous week. This dataset provides - United States MBA Mortgage Applications - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Annual Market Information Indices. Published by Department of Housing, Local Government, and Heritage. Available under the license Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0).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. ...

The cellulose ether prices in the United States for Q2 2024 reached 4170 USD/MT in June. The prices remained largely stable despite minor seasonal variations. Although the construction sector showed a dip in demand, easing mortgage rates and enhanced housing completions lent slight support, keeping the market balanced.

Abstract copyright UK Data Service and data collection copyright owner.The English Housing Survey (EHS) is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. The EHS brings together two previous survey series into a single fieldwork operation: the English House Condition Survey (EHCS) (available from the UK Data Archive under GN 33158) and the Survey of English Housing (SEH) (available under GN 33277). The EHS covers all housing tenures. The information obtained through the survey provides an accurate picture of people living in the dwelling, and their views on housing and their neighbourhoods. The survey is also used to inform the development and monitoring of the Ministry's housing policies. Results from the survey are also used by a wide range of other users including other government departments, local authorities, housing associations, landlords, academics, construction industry professionals, consultants, and the general public. The EHS has a complex multi-stage methodology consisting of two main elements; an initial interview survey of around 12,000 households and a follow-up physical inspection. Some further elements are also periodically included in or derived from the EHS: for 2008 and 2009, a desk-based market valuation was conducted of a sub-sample of 8,000 dwellings (including vacant ones), but this was not carried out from 2010 onwards. A periodic follow-up survey of private landlords and agents (the Private Landlords Survey (PLS)) is conducted using information from the EHS interview survey. Fuel Poverty datasets are also available from 2003, created by the Department for Energy and Climate Change (DECC). The EHS interview survey sample formed part of the Integrated Household Survey (IHS) (available from the Archive under GN 33420) from April 2008 to April 2011. During this period the core questions from the IHS formed part of the EHS questionnaire. End User Licence and Special Licence Versions: From 2014 data onwards, the End User Licence (EUL) versions of the EHS will only include derived variables. In addition the number of variables on the new EUL datasets has been reduced and disclosure control increased on certain remaining variables. New Special Licence versions of the EHS will be deposited later in the year, which will be of a similar nature to previous EHS EUL datasets and will include derived and raw datasets. Further information about the EHS and the latest news, reports and tables can be found on the GOV.UK English Housing Survey web pages. The English Housing Survey, 2012: Housing Stock Data is available for all cases where a physical survey has been completed. For occupied cases the data comprises information from the household interview and from the physical survey. For vacant properties only, data from the physical survey are provided. The data are made available for a two-year rolling sample i.e. approximately 16,000 cases together with the appropriate two-year weights. For example, the EHS Housing Stock results presented here are for 2012, but cover the period April 2011 to March 2013. The Housing Stock dataset should be used for any analysis requiring information relating to the physical characteristics and energy efficiency of the housing stock. Derived datasets provide key analytical variables compiled post-fieldwork including energy efficiency ratings, decent home indicators and equivalised income. Latest edition information For the fourth edition (March 2017), a new cavity wall insulation variable wins95x was added to the physical file. This variable was introduced for the latest EHS Headline Report. From the submission of the 2015 EHS, wins95x will replace wins90x; it has been added to EHS physical files from 2007/8 onwards. Main Topics: The EHS Housing Stock survey consists of two components. Interview Survey An interview is first conducted with the householder. The interview topics include: household characteristics, satisfaction with the home and the area, disability and adaptations to the home, ownership and rental details and income details. Physical Survey Where interviews are achieved (the 'full household sample'), each year all rented properties and a sub-sample of owner occupied properties are regarded as eligible for the physical survey and the respondent's consent is sought. A proportion of vacant properties are also sub-sampled. For these cases a visual inspection of the property, both internal and external is carried out by a qualified surveyor. Data collected cover: stock profile; amenities; services and the local environment; dwelling condition and safety; energy performance; energy-inefficient dwellings. Multi-stage stratified random sample Face-to-face interview Physical measurements House inspection; Surveyor property inspection. 2012 2013 AGE AIDS FOR THE DISABLED APARTMENTS ATTITUDES BATHROOMS BEDROOMS BIOFUELS BOILERS BUILDING MAINTENANCE CAR PARKING AREAS CARS CEILINGS CENTRAL HEATING CHIMNEYS COHABITATION COMMUNAL ESTABLISHM... COOKING FACILITIES COSTS COUNCIL TAX DISABLED ACCESSIBILITY DISABLED FACILITIES DISABLED PERSONS DOORS ECONOMIC ACTIVITY ECONOMIC VALUE EDUCATIONAL BACKGROUND ELECTRIC POWER SUPPLY EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ENERGY CONSUMPTION ENERGY EFFICIENCY ENVIRONMENT ETHNIC GROUPS England FAMILIES FINANCIAL RESOURCES FLOORS FOSSIL FUELS FREEHOLD FURNISHED ACCOMMODA... GARAGES GAS SUPPLY GENDER HEADS OF HOUSEHOLD HEATING SYSTEMS HIGH RISE FLATS HOME BUILDINGS INSU... HOME BUYING HOME CONTENTS INSUR... HOME OWNERSHIP HOME SHARING HOURS OF WORK HOUSE PRICES HOUSEHOLD INCOME HOUSEHOLDERS HOUSEHOLDS HOUSES HOUSING HOUSING AGE HOUSING BENEFITS HOUSING CONDITIONS HOUSING FACILITIES HOUSING IMPROVEMENT HOUSING SHORTAGES HOUSING TENURE HUMAN SETTLEMENT Housing ILL HEALTH INCOME INTEREST RATES KITCHENS LANDLORDS LAVATORIES LEASEHOLD LOANS LOCAL TAX BENEFITS LODGERS MARITAL STATUS METHODS OF PAYMENT MORTGAGE ARREARS MORTGAGE PROTECTION... MORTGAGES OWNERSHIP AND TENURE PHYSICAL MOBILITY PLACE OF BIRTH POVERTY PRIVATE GARDENS PROPERTY RADIATORS RATES RENTED ACCOMMODATION RENTS RESIDENTIAL BUILDINGS RESIDENTIAL MOBILITY RESPONSIBILITY ROOFS ROOMS RURAL AREAS SATISFACTION SAVINGS SELF EMPLOYED SEWAGE DISPOSAL AND... SHELTERED HOUSING SINGLE OCCUPANCY HO... SOCIAL HOUSING SOCIAL SECURITY BEN... SOCIO ECONOMIC STATUS SOLAR ENERGY SPOUSES STANDARD OF LIVING STATUS IN EMPLOYMENT STRUCTURAL ELEMENTS... STUDENT HOUSING SUPERVISORY STATUS TENANCY AGREEMENTS THERMAL INSULATION TIED HOUSING TRAFFIC NOISE UNEMPLOYED UNFURNISHED ACCOMMO... UNWAGED WORKERS URBAN AREAS VACANT HOUSING WALLS WASHING FACILITIES WHEELCHAIRS WINDOWS

Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Company Cars (Module 1a): questions about the number of petrol-fuelled and diesel-fuelled company cars as well as total mileage and total business mileage. Also questions are asked on age, engine size and value of car when new. Mortgage Arrears (Module 2): source of mortgage, if any, and whether behind in payments. Also 2 questions on whether bought from a Right to Buy scheme. Housing Repossessions (Module 2a): questions about repossessions and voluntary surrenders of accommodation as a result of falling behind with mortgage payments. War Pensions (Modules 50 and 51): War pensions sample. War pensions trailer. All ex-Forces personnel in the household are identified and asked about their experience of finding out about and claiming War Disablement Pensions. Sunday Working (Module 52): questions about current Sunday working and whether shopping and other activities done on Sundays. A sample of people's employers will also be followed up by telephone and asked about their use of Sunday working. Multi-stage stratified random sample Face-to-face interview 1992 AGE ARMED FORCES ATTITUDES CAR ENGINES CHILD BENEFITS CHILDREN COMPANY CARS DEBTS DIESEL OIL DISTANCE MEASUREMENT DOMESTIC RESPONSIBI... ECONOMIC ACTIVITY ECONOMIC VALUE EDUCATIONAL BACKGROUND EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ETHNIC GROUPS FAMILY MEMBERS FINANCIAL SUPPORT FULL TIME EMPLOYMENT GENDER HEADS OF HOUSEHOLD HOME BUYING HOME OWNERSHIP HOURS OF WORK HOUSEHOLD BUDGETS HOUSEHOLDS HOUSING FINANCE HOUSING TENURE Housing INCOME INDUSTRIES INTEREST FINANCE INVESTMENT RETURN Income JOB HUNTING LEAVE LEISURE TIME ACTIVI... Labour and employment MANAGERS MARITAL STATUS MILITARY SERVICE MORTGAGES MOTOR VEHICLES OCCUPATIONAL PENSIONS OCCUPATIONS ONE PARENT FAMILIES PART TIME EMPLOYMENT PETROL PRICES RATES OF PAY RELIGIOUS BEHAVIOUR RENTED ACCOMMODATION REPOSSESSION HOUSES RETIREMENT SATISFACTION SELF EMPLOYED SHARED HOME OWNERSHIP SIZE SOCIAL HOUSING SOCIAL SECURITY BEN... STUDENTS SUBSIDIARY EMPLOYMENT SUNDAY WORKING SUPERVISORS Social behaviour an... TEMPORARY EMPLOYMENT TENANTS HOME PURCHA... TRAVEL UNEMPLOYED WAGES WAR VETERANS property and invest...

The benchmark interest rate in Sweden was last recorded at 2.25 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.

The benchmark interest rate in Norway was last recorded at 4.50 percent. This dataset provides the latest reported value for - Norway Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset provides values for MORTGAGE RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The benchmark interest rate in Australia was last recorded at 4.10 percent. This dataset provides - Australia Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar 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.

The benchmark interest rate in India was last recorded at 6.25 percent. This dataset provides - India Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Mortgage Rate in Australia increased to 6.15 percent in January from 6.13 percent in December of 2024. This dataset includes a chart with historical data for Australia Mortgage Rate.