Existing Home Sales in the United States increased to 4010 Thousand in July from 3930 Thousand in June 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.

New Home Sales in the United States decreased to 652 Thousand units in July from 656 Thousand units in June 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.

Single Family Home Prices in the United States decreased to 422400 USD in July from 432700 USD in June of 2025. This dataset provides - United States Existing Single Family Home Prices- actual values, historical data, forecast, chart, statistics, economic calendar and news.

These National Statistics provide monthly estimates of the number of residential and non-residential property transactions in the UK and its constituent countries. National Statistics are accredited official statistics.

England and Northern Ireland statistics are based on information submitted to the HM Revenue and Customs (HMRC) Stamp Duty Land Tax (SDLT) database by taxpayers on SDLT returns.

Land and Buildings Transaction Tax (LBTT) replaced SDLT in Scotland from 1 April 2015 and this data is provided to HMRC by https://www.revenue.scot/">Revenue Scotland to continue the time series.

Land Transaction Tax (LTT) replaced SDLT in Wales from 1 April 2018. To continue the time series, the https://gov.wales/welsh-revenue-authority">Welsh Revenue Authority (WRA) have provided HMRC with a monthly data feed of LTT transactions since July 2021.

LTT figures for the latest month are estimated using a grossing factor based on data for the most recent and complete financial year. Until June 2021, LTT transactions for the latest month were estimated by HMRC based upon year on year growth in line with other UK nations.

LTT transactions up to the penultimate month are aligned with LTT statistics.

Go to Stamp Duty Land Tax guidance for the latest rates and information.

Go to Stamp Duty Land Tax rates from 1 December 2003 to 22 September 2022 and Stamp Duty: rates on land transfers before December 2003 for historic rates.

The latest release was published 09:30 29 August 2025 and was updated with provisional data from completed transactions during July 2025.

The next release will be published 09:30 30 September 2025 and will be updated with provisional data from completed transactions during July 2025.

https://webarchive.nationalarchives.gov.uk/ukgwa/20240320184933/https://www.gov.uk/government/statistics/monthly-property-transactions-completed-in-the-uk-with-value-40000-or-above">Archive versions of the Monthly property transactions completed in the UK with value of £40,000 or above are available via the UK Government Web Archive, from the National Archives.

Housing Starts in the United Kingdom decreased to 28180 units in the first quarter of 2025 from 31030 units in the fourth quarter of 2024. This dataset provides the latest reported value for - United Kingdom Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Starts and completions of new build dwellings in the UK, on a quarterly and annual basis, time series data

Housing Starts in the United States decreased to 1307 Thousand units in August from 1429 Thousand units in July of 2025. This dataset provides the latest reported value for - United States Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Monthly Supply of New Houses in the United States (MSACSR) from Jan 1963 to Jul 2025 about supplies, new, housing, and USA.

Total Housing Inventory in the United States increased to 1550 Thousands in July from 1540 Thousands in June of 2025. This dataset includes a chart with historical data for the United States Total Housing Inventory.

Change-In-Other-Working-Capital Time Series for TRI Pointe Homes Inc. Tri Pointe Homes, Inc. engages in the design, construction, and sale of single-family attached and detached homes in the United States. The company operates in two segments, Homebuilding and Financial Services. It operates active selling communities and owns or controls lots. The company sells its homes through its own sales representatives and independent real estate brokers. It also provides financial services, such as mortgage financing, title and escrow, and property and casualty insurance agency services. The company was formerly known as TRI Pointe Group, Inc. and changed its name to Tri Pointe Homes, Inc. in January 2021. Tri Pointe Homes, Inc. was founded in 2009 and is based in Incline Village, Nevada.

Pending Home Sales in the United States decreased 2.80 percent in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Pending Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States New Houses Sold: South: USD 300000 to 399999 data was reported at 43.000 Unit th in Mar 2025. This records an increase from the previous number of 31.000 Unit th for Dec 2024. United States New Houses Sold: South: USD 300000 to 399999 data is updated quarterly, averaging 35.000 Unit th from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 47.000 Unit th in Mar 2022 and a record low of 28.000 Unit th in Dec 2022. United States New Houses Sold: South: USD 300000 to 399999 data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.EB: New Houses Sold: by Region and Price.

United States New Houses Sold: West: USD 600000 to 799999 data was reported at 8.000 Unit th in Mar 2025. This stayed constant from the previous number of 8.000 Unit th for Dec 2024. United States New Houses Sold: West: USD 600000 to 799999 data is updated quarterly, averaging 9.000 Unit th from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 15.000 Unit th in Mar 2022 and a record low of 6.000 Unit th in Sep 2022. United States New Houses Sold: West: USD 600000 to 799999 data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.EB: New Houses Sold: by Region and Price.

Other-Cashflows-From-Financing-Activities Time Series for TRI Pointe Homes Inc. Tri Pointe Homes, Inc. engages in the design, construction, and sale of single-family attached and detached homes in the United States. The company operates in two segments, Homebuilding and Financial Services. It operates active selling communities and owns or controls lots. The company sells its homes through its own sales representatives and independent real estate brokers. It also provides financial services, such as mortgage financing, title and escrow, and property and casualty insurance agency services. The company was formerly known as TRI Pointe Group, Inc. and changed its name to Tri Pointe Homes, Inc. in January 2021. Tri Pointe Homes, Inc. was founded in 2009 and is based in Incline Village, Nevada.

The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across the landscape); and 2) represent in situ risk - risk at the location where the adverse effects take place on the landscape.National wildfire hazard datasets of annual burn probability and fire intensity, generated by the USDA Forest Service, Rocky Mountain Research Station and Pyrologix LLC, form the foundation of the Wildfire Risk to Communities data. Vegetation and wildland fuels data from LANDFIRE 2020 (version 2.2.0) were used as input to two different but related geospatial fire simulation systems. Annual burn probability was produced with the USFS geospatial fire simulator (FSim) at a relatively coarse cell size of 270 meters (m). To bring the burn probability raster data down to a finer resolution more useful for assessing hazard and risk to communities, we upsampled them to the native 30 m resolution of the LANDFIRE fuel and vegetation data. In this upsampling process, we also spread values of modeled burn probability into developed areas represented in LANDFIRE fuels data as non-burnable. Burn probability rasters represent landscape conditions as of the end of 2020. Fire intensity characteristics were modeled at 30 m resolution using a process that performs a comprehensive set of FlamMap runs spanning the full range of weather-related characteristics that occur during a fire season and then integrates those runs into a variety of results based on the likelihood of those weather types occurring. Before the fire intensity modeling, the LANDFIRE 2020 data were updated to reflect fuels disturbances occurring in 2021 and 2022. As such, the fire intensity datasets represent landscape conditions as of the end of 2022. Additional methodology documentation is provided in a methods document (\Supplements\WRC_V2_Methods_Landscape-wideRisk.pdf) packaged in the data download.The specific raster datasets in this publication include:Risk to Potential Structures (RPS): A measure that integrates wildfire likelihood and intensity with generalized consequences to a home on every pixel. For every place on the landscape, it poses the hypothetical question, "What would be the relative risk to a house if one existed here?" This allows comparison of wildfire risk in places where homes already exist to places where new construction may be proposed. This dataset is referred to as Risk to Homes in the Wildfire Risk to Communities web application.Conditional Risk to Potential Structures (cRPS): The potential consequences of fire to a home at a given location, if a fire occurs there and if a home were located there. Referred to as Wildfire Consequence in the Wildfire Risk to Communities web application.Exposure Type: Exposure is the spatial coincidence of wildfire likelihood and intensity with communities. This layer delineates where homes are directly exposed to wildfire from adjacent wildland vegetation, indirectly exposed to wildfire from indirect sources such as embers and home-to-home ignition, or not exposed to wildfire due to distance from direct and indirect ignition sources.Burn Probability (BP): The annual probability of wildfire burning in a specific location. Referred to as Wildfire Likelihood in the Wildfire Risk to Communities web application.Conditional Flame Length (CFL): The mean flame length for a fire burning in the direction of maximum spread (headfire) at a given location if a fire were to occur; an average measure of wildfire intensity.Flame Length Exceedance Probability - 4 ft (FLEP4): The conditional probability that flame length at a pixel will exceed 4 feet if a fire occurs; indicates the potential for moderate to high wildfire intensity.Flame Length Exceedance Probability - 8 ft (FLEP8): the conditional probability that flame length at a pixel will exceed 8 feet if a fire occurs; indicates the potential for high wildfire intensity.Wildfire Hazard Potential (WHP): An index that quantifies the relative potential for wildfire that may be difficult to manage, used as a measure to help prioritize where fuel treatments may be needed.Additional methodology documentation is provided with the data publication download. https://www.fs.usda.gov/rds/archive/Catalog/RDS-2020-0016-2Note: Pixel values in this image service have been altered from the original raster dataset due to data requirements in web services. The service is intended primarily for data visualization. Relative values and spatial patterns have been largely preserved in the service, but users are encouraged to download the source data for quantitative analysis.

The Smart Energy Research Lab (SERL) Observatory facilitates a broad range of energy demand research and is a unique data resource for research where access to high resolution, large scale energy data linked to relevant contextual data is required. Further information about SERL can be found on the Smart Energy Research Lab website.

This dataset of aggregated statistics is available under standard Safeguarded (End User Licence) access conditions. It contains over 2.5 million rows of data and describes domestic gas and electricity energy use in Great Britain 2020-2023 based on data from the Smart Energy Research Lab (SERL) Observatory, which consists of smart meter and contextual data from approximately 13,000 homes that are broadly representative of the GB population in terms of region and Index of Multiple Deprivation (IMD) quintile. This aggregated dataset can be used, for example, to show how residential energy use in GB varies over time (monthly over the year and half-hourly over the course of the day); and can be broken down by occupant characteristics (number of occupants, tenure), property characteristics (age, size, form, and Energy Performance Certificate (EPC)), by type of heating system, presence of solar panels and of electric vehicles, and by weather, region and IMD quintile.

Secure Access data
A more detailed set of SERL data, including smart meter data and additional contextual data, is available under restricted Secure access conditions under SN 8666: Smart Energy Research Lab Observatory Data: Secure Access. It is a longitudinal dataset containing records from August 2019, with updates provided to researchers on a (roughly) quarterly basis. Users should download this safeguarded access statistical study first to see whether it is suitable for their needs before considering an application for the Secure dataset.

The second edition (May 2024) includes summaries of daily average energy use in a data file for 2020-2023, and summaries of half-hourly average energy use in four data files for 2020-2023, as well as an accompanying technical document.