Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q1 2025 about sales, median, housing, and USA.

Nahb Housing Market Index in the United States increased to 33 points in July from 32 points in June of 2025. This dataset provides the latest reported value for - United States Nahb Housing Market Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

New Home Sales in the United States decreased to 623 Thousand units in May from 722 Thousand units in April of 2025. This dataset provides the latest reported value for - United States New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Data on the number of residential properties sold, sale price and number of buyers by sale type, property type and period of construction.

Data on resident buyers who are persons that purchased a residential property in a market sale and filed their T1 tax return form: number of and incomes of residential property buyers, sale price, price-to-income ratio by the number of buyers as part of a sale, age groups, first-time home buyer status, buyer characteristics (sex, family type, immigration status, period of immigration, admission category).

This dataset describes the evolutions of the price per m2 in the department of Lot and Garonne all of apartments and cities combined. It was made in agreement with the site immobilier Lot et Garonne Les Clés du Midi, a real estate portal specialising in the South of France. The graph could be made from real estate sold to M-1 on the lot and Garonnais real estate market. In this way, potential buyers of a property can have a global view of the variations in the price per m2 on the Lot et Garonne sector. The graph and the prices per square meter in the department of 47 are updated monthly in order to always have a real estate estimate as close as possible to the market at a time T. New buyers also have the possibility to consult the prices per m2 per municipality and per type of housing.

Annual house price inflation, simple and mix-adjusted average house prices, by dwelling, type of buyer, number of transactions, mortgage advances, distribution of borrowers' ages/incomes, interest rates, land prices, average valuations, Land Registry data

Annual house price inflation, simple and mix-adjusted average house prices, by dwelling, type of buyer, number of transactions, mortgage advances, distribution of borrowers' ages/incomes, interest rates, land prices, average valuations, Land Registry data

Yearly Real Estate sales data by count and purchase price (median and average) from 2005 to 2018. All communities in the Keys to the Valley region are included.

Vermont Dataset Description

Purchase price - Average Sales Price based on listing price at time of purchase

Source – www.HousingData.org

NH Dataset Description

This data set provides an estimate of the median sale price of existing and new primary homes in New Hampshire. A primary home is defined as a single family home occupied by an owner household as their primary place of residence. Multi-family rental housing, seasonal or vacation homes and manufactured housing are not included in the analysis of this data.

Purchase price -
Median Sales Price

Data Collection Process - For the Period 1990 through 2014, the median purchase prices were calculated from data collected by the New Hampshire Department of Revenue Administration on the PA-34 Form through their vendor Real Data Corp. A PA-34 Form is filed by the buyer and seller at the time of sale of all real property in the State of New Hampshire. In 2015 this source of data was no longer available, and has been replaced by real estate transaction data supplied by The Warren Group and filtered and compiled by NHHFA. This change in data source is reflected in the charts by a break in the trend line.

Analysis - Median sale prices of all, new, existing, and condominium homes are calculated. The frequency of sales by $10,000 increment is also calculated for each of the above categories. Calculations based on sample sizes smaller than 50 are viewed as providing inconsistent and highly volatile results and are not typically released. Individual record level data is not released.

Limitations - The quality of this data at the higher geographic levels (statewide and counties) is consistent over the entire time series. For the larger LMAs and Municipalities the data is reasonably consistent with some holes in the data. For smaller LMAs and moderate sized municipalities the data is most consistent for existing homes since 1998. For the smallest municipalities this data set does not provide adequately consistent analysis.

Source - NHHFA Purchase Price Database; Source: 1990-2014 - NH Dept. of Revenue, PA-34 Dataset, Compiled by Real Data Corp. Filtered and analyzed by New Hampshire Housing.

https://www.nhhfa.org/publications-data/housing-and-demographic-data/

This page is no longer being updated. Please use the UK House Price Index instead.

Mix-adjusted house prices, by new/pre-owned dwellings, type of buyer (first time buyer) and region, from February 2002 for London and UK, and average mix-adjusted prices by UK region, and long term Annual House Price Index data since 1969 for London.

The ONS House Price Index is mix-adjusted to allow for differences between houses sold (for example type, number of rooms, location) in different months within a year. House prices are modelled using a combination of characteristics to produce a model containing around 100,000 cells (one such cell could be first-time buyer, old dwelling, one bedroom flat purchased in London). Each month estimated prices for all cells are produced by the model and then combined with their appropriate weight to produce mix-adjusted average prices. The index values are based on growth rates in the mix-adjusted average house prices and are annually chain linked.

The weights used for mix-adjustment change at the start of each calendar year (i.e. in January). The mix-adjusted prices are therefore not comparable between calendar years, although they are comparable within each calendar year. If you wish to calculate change between years, you should use the mix-adjusted house price index, available in Table 33.

The data published in these tables are based on a sub-sample of RMS data. These results will therefore differ from results produced using full sample data. For further information please contact the ONS using the contact details below.
House prices, mortgage advances and incomes have been rounded to the nearest £1,000.
Data taken from Table 2 and Table 9 of the monthly ONS release.

Download from ONS website

The residential vacancy rate is the percentage of residential units that are unoccupied, or vacant, in a given year. The U.S. Census Bureau defines occupied housing units as “owner-occupied” or “renter-occupied.” Vacant housing units are not classified by tenure in this way, as they are not occupied by an owner or renter.

The residential vacancy rate serves as an indicator of the condition of the area’s housing market. Low residential vacancy rates indicate that demand for housing is high compared to the housing supply. However, the aggregate residential vacancy rate is lacking in granularity. For example, the housing market for rental units in the area and the market for buying a unit in the same area may be very different, and the aggregate rate will not show those distinct conditions. Furthermore, the vacancy rate may be high, or low, for a variety of reasons. A high vacancy rate may result from a falling population, but it may also result from a recent construction spree that added many units to the total stock.

The residential vacancy rate in Champaign County appears to have fluctuated between 8% and 14% from 2005 through 2022, reaching a peak near 14% in 2019. In 2023, this rate dropped to about 7%, its lowest value since 2005. However, this rate was calculated using the American Community Survey’s (ACS) estimated number of vacant houses per year, which has year-to-year fluctuations that are largely not statistically significant. Thus, we cannot establish a trend for this data.

The residential vacancy rate data shown here was calculated using the estimated total housing units and estimated vacant housing units from the U.S. Census Bureau’s American Community Survey 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Occupancy Status.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (17 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (25 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (4 October 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table SB25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).

In 2022, house price growth in the UK slowed, after a period of decade-long increase. Nevertheless, in March 2025, prices reached a new peak, with the average home costing ******* British pounds. This figure refers to all property types, including detached, semi-detached, terraced houses, and flats and maisonettes. Compared to other European countries, the UK had some of the highest house prices. How have UK house prices increased over the last 10 years? Property prices have risen dramatically over the past decade. According to the UK house price index, the average house price has grown by over ** percent since 2015. This price development has led to the gap between the cost of buying and renting a property to close. In 2023, buying a three-bedroom house in the UK was no longer more affordable than renting one. Consequently, Brits have become more likely to rent longer and push off making a house purchase until they have saved up enough for a down payment and achieved the financial stability required to make the step. What caused the recent fluctuations in house prices? House prices are affected by multiple factors, such as mortgage rates, supply, and demand on the market. For nearly a decade, the UK experienced uninterrupted house price growth as a result of strong demand and a chronic undersupply. Homebuyers who purchased a property at the peak of the housing boom in July 2022 paid ** percent more compared to what they would have paid a year before. Additionally, 2022 saw the most dramatic increase in mortgage rates in recent history. Between December 2021 and December 2022, the **-year fixed mortgage rate doubled, adding further strain to prospective homebuyers. As a result, the market cooled, leading to a correction in pricing.

Covering the years from 2021 to 2025, this M0VE.com dataset provides an intelligently structured view of Ross-on-wye’s residential housing prices without relying on general averages or oversimplified estimates. The dataset combines Land Registry transactions, EPC property specifications, and council-collected records to form a reliable and well-balanced resource. Every datapoint is adjusted to reflect inflation trends and is corrected for extreme pricing events. Further refinements include modifiers based on energy classification, home structure, and whether the property is a recently built development or part of Ross-on-wye’s older housing stock. Trends are shown by year and property type, while comparison points from surrounding areas help to ground the data in regional context. It is a well-constructed, practical reference for buyers, estate agents, and investors who need more than assumptions - they need accuracy.

Common-Stock-Shares-Outstanding Time Series for Pexa Group Ltd. PEXA Group Limited operates a digital property settlements platform in Australia. The company operates through three segments: Exchange, International, and Digital Solutions. It operates electronic lodgement network, a cloud-based platform that enables the lodgement and settlement of property transactions through an integrated digital platform, as well as facilitates the collaboration between customers across the property ecosystem to enable the transfer and settlement of transactions in real property. The company also provides data insights and digital services for developing, buying and selling, settling, owning, and servicing of properties, as well as property-related analytics and digital solutions; and digitalized property registration and settlement, and related services. In addition, its products portfolio includes PEXA, an online property settlement platform; PEXA Key, that protects property sellers and buyers from phishing and fraud activities; PEXA projects for managing large scale projects; PEXA planner, a scaled workplace management tool for financial institutions; PEXA MyView, for viewing mortgage and refinance market summary; and PEXA Tracker, a search tool for digital settlements. PEXA Group Limited offers its solutions for lawyers and conveyancers, financial institutions, governments, property developers, buyers and sellers, related professionals, and practitioners. The company was formerly known as Torrens Group Holdings Limited. PEXA Group Limited was founded in 2010 and is headquartered in Melbourne, Australia.

This refined residential dataset from M0VE.com presents an unusually clear picture of Ledbury’s property market across the period from 2021 to 2025. It draws upon official records, including Land Registry transactions, EPC reports, and council-held datasets, all of which are blended into a single structured output. Every entry is subjected to a deliberate recalibration process that adjusts for market inflation, removes erratic sale anomalies, and incorporates nuanced property characteristics - such as energy rating, build classification, and whether the home is a modern construction or an older build. Prices are sorted by property type, with trends tracked year by year and comparative reference points added from surrounding locations. The goal of this dataset is simplicity without compromise - designed for buyers, investors, and researchers who value clean, reliable, and context-aware housing figures.

Data on the number of residential property owners and their assessment value by ownership type, residency status and number of properties owned. As well as data on the number of resident buyers of properties sold in a market and a non-market sale, during the previous reference period, and data on the sale price of those properties sold in a market sale.

United Kingdom House Price: Qtr: First Time Buyer: Outer Met data was reported at 286,001.028 GBP in Jun 2018. This records a decrease from the previous number of 287,680.911 GBP for Mar 2018. United Kingdom House Price: Qtr: First Time Buyer: Outer Met data is updated quarterly, averaging 100,707.966 GBP from Mar 1983 (Median) to Jun 2018, with 142 observations. The data reached an all-time high of 287,680.911 GBP in Mar 2018 and a record low of 29,106.525 GBP in Mar 1983. United Kingdom House Price: Qtr: First Time Buyer: Outer Met data remains active status in CEIC and is reported by Nationwide. The data is categorized under Global Database’s UK – Table UK.P001: House Price: Nationwide.

House prices in the second most populous state in the United States, Texas, have increased more than two-fold since 2011. In 2023, the median house price reached 335,100 U.S. dollars, a decrease of 1.4 percent from the previous year. Texas is one of the more affordable states for buying a home with house prices below the national average.