Housing Starts in the United States decreased to 1256 Thousand units in May from 1392 Thousand units in April 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.

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.

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

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

IMPORTANT! PLEASE READ DISCLAIMER BEFORE USING DATA. The Residential Existing Homes Program is a market transformation program that uses Building Performance Institute (BPI) Goldstar contractors to install comprehensive energy-efficient improvements. The program is designed to use building science and a whole-house approach to reduce energy use in the State’s existing one-to-four family and low-rise multifamily residential buildings and capture heating fuel and electricity-related savings. The Program provides income-based incentives, including an assisted subsidy for households with income up to 80% of the State or Median County Income, whichever is higher to install eligible energy efficiency improvements including building shell measures, high efficiency heating and cooling measures, ENERGY STAR appliances and lighting. D I S C L A I M E R: Estimated Annual kWh Savings, Estimated Annual MMBtu Savings, and First Year Energy Savings $ Estimate represent contractor reported savings derived from energy modeling software calculations and not actual realized energy savings. The accuracy of the Estimated Annual kWh Savings and Estimated Annual MMBtu Savings for projects has been evaluated by an independent third party. The results of the impact analysis indicate that, on average, actual savings amount to 35 percent of the Estimated Annual kWh Savings and 65 percent of the Estimated Annual MMBtu Savings. The analysis did not evaluate every single project, but rather a sample of projects from 2007 and 2008, so the results are applicable to the population on average but not necessarily to any individual project which could have over or under achieved in comparison to the evaluated savings. The results from the impact analysis will be updated when more recent information is available. Many factors influence the degree to which estimated savings are realized, including proper calibration of the savings model and the savings algorithms used in the modeling software. Some reasons individual households may realize savings different from those projected include, but are not limited to, changes in the number or needs of household members, changes in occupancy schedules, changes in energy usage behaviors, changes to appliances and electronics installed in the home, and beginning or ending a home business. Beginning November 2017, the Program requires the use of HPXML-compliant modeling software tools and data quality protocols have been implemented to more accurately project savings. For more information, please refer to the Evaluation Report published on NYSERDA’s website at: http://www.nyserda.ny.gov/-/media/Files/Publications/PPSER/Program-Evaluation/2012ContractorReports/2012-HPwES-Impact-Report-with-Appendices.pdf. The New York Residential Existing Homes (One to Four Units) dataset includes the following data points for projects completed during Green Jobs Green-NY, beginning November 15, 2010: Home Performance Project ID, Home Performance Site ID, Project County, Project City, Project Zip, Gas Utility, Electric Utility, Project Completion Date, Customer Type, Low-Rise or Home Performance Indicator, Total Project Cost (USD), Total Incentives (USD), Type of Program Financing, Amount Financed Through Program (USD), Pre-Retrofit Home Heating Fuel Type, Year Home Built, Size of Home, Volume of Home, Number of Units, Measure Type, Estimated Annual kWh Savings, Estimated Annual MMBtu Savings, First Year Energy Savings $ Estimate (USD), Homeowner Received Green Jobs-Green NY Free/Reduced Cost Audit (Y/N). How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Atlantic provinces ...), Housing estimates (3 items: Housing starts; Housing under construction; Housing completions ...), Type of unit (6 items: Total units; Multiples; Single-detached; Semi-detached ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted at annual rates ...).

IMPORTANT! PLEASE READ DISCLAIMER BEFORE USING DATA. This dataset backcasts estimated modeled savings for a subset of 2007-2012 completed projects in the Home Performance with ENERGY STAR® Program against normalized savings calculated by an open source energy efficiency meter available at https://www.openee.io/. Open source code uses utility-grade metered consumption to weather-normalize the pre- and post-consumption data using standard methods with no discretionary independent variables. The open source energy efficiency meter allows private companies, utilities, and regulators to calculate energy savings from energy efficiency retrofits with increased confidence and replicability of results. This dataset is intended to lay a foundation for future innovation and deployment of the open source energy efficiency meter across the residential energy sector, and to help inform stakeholders interested in pay for performance programs, where providers are paid for realizing measurable weather-normalized results. To download the open source code, please visit the website at https://github.com/openeemeter/eemeter/releases D I S C L A I M E R: Normalized Savings using open source OEE meter. Several data elements, including, Evaluated Annual Elecric Savings (kWh), Evaluated Annual Gas Savings (MMBtu), Pre-retrofit Baseline Electric (kWh), Pre-retrofit Baseline Gas (MMBtu), Post-retrofit Usage Electric (kWh), and Post-retrofit Usage Gas (MMBtu) are direct outputs from the open source OEE meter. Home Performance with ENERGY STAR® Estimated Savings. Several data elements, including, Estimated Annual kWh Savings, Estimated Annual MMBtu Savings, and Estimated First Year Energy Savings represent contractor-reported savings derived from energy modeling software calculations and not actual realized energy savings. The accuracy of the Estimated Annual kWh Savings and Estimated Annual MMBtu Savings for projects has been evaluated by an independent third party. The results of the Home Performance with ENERGY STAR impact analysis indicate that, on average, actual savings amount to 35 percent of the Estimated Annual kWh Savings and 65 percent of the Estimated Annual MMBtu Savings. For more information, please refer to the Evaluation Report published on NYSERDA’s website at: http://www.nyserda.ny.gov/-/media/Files/Publications/PPSER/Program-Evaluation/2012ContractorReports/2012-HPwES-Impact-Report-with-Appendices.pdf. This dataset includes the following data points for a subset of projects completed in 2007-2012: Contractor ID, Project County, Project City, Project ZIP, Climate Zone, Weather Station, Weather Station-Normalization, Project Completion Date, Customer Type, Size of Home, Volume of Home, Number of Units, Year Home Built, Total Project Cost, Contractor Incentive, Total Incentives, Amount Financed through Program, Estimated Annual kWh Savings, Estimated Annual MMBtu Savings, Estimated First Year Energy Savings, Evaluated Annual Electric Savings (kWh), Evaluated Annual Gas Savings (MMBtu), Pre-retrofit Baseline Electric (kWh), Pre-retrofit Baseline Gas (MMBtu), Post-retrofit Usage Electric (kWh), Post-retrofit Usage Gas (MMBtu), Central Hudson, Consolidated Edison, LIPA, National Grid, National Fuel Gas, New York State Electric and Gas, Orange and Rockland, Rochester Gas and Electric. How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

IMPORTANT! PLEASE READ DISCLAIMER BEFORE USING DATA. To reduce the energy burden on income-qualified households within New York State, NYSERDA offers the EmPower New York (EmPower) program, a retrofit program that provides cost-effective electric reduction measures (i.e., primarily lighting and refrigerator replacements), and cost-effective home performance measures (i.e., insulation air sealing, heating system repair and replacments, and health and safety measures) to income qualified homeowners and renters. Home assessments and implementation services are provided by Building Performance Institute (BPI) Goldstar contractors to reduce energy use for low income households. This data set includes energy efficiency projects completed since January 2018 for households with income up to 60% area (county) median income. D I S C L A I M E R: Estimated Annual kWh Savings, Estimated Annual MMBtu Savings, and First Year Energy Savings $ Estimate represent contractor reported savings derived from energy modeling software calculations and not actual realized energy savings. The accuracy of the Estimated Annual kWh Savings and Estimated Annual MMBtu Savings for projects has been evaluated by an independent third party. The results of the impact analysis indicate that, on average, actual savings amount to 54 percent of the Estimated Annual kWh Savings and 70 percent of the Estimated Annual MMBtu Savings. The analysis did not evaluate every single project, but rather a sample of projects from 2007 and 2008, so the results are applicable to the population on average but not necessarily to any individual project which could have over or under achieved in comparison to the evaluated savings. The results from the impact analysis will be updated when more recent information is available. Some reasons individual households may realize savings different from those projected include, but are not limited to, changes in the number or needs of household members, changes in occupancy schedules, changes in energy usage behaviors, changes to appliances and electronics installed in the home, and beginning or ending a home business. For more information, please refer to the Evaluation Report published on NYSERDA’s website at: https://www.nyserda.ny.gov/-/media/Files/Publications/PPSER/Program-Evaluation/2012ContractorReports/2012-EmPower-New-York-Impact-Report.pdf. This dataset includes the following data points for projects completed after January 1, 2018: Reporting Period, Project ID, Project County, Project City, Project ZIP, Gas Utility, Electric Utility, Project Completion Date, Total Project Cost (USD), Pre-Retrofit Home Heating Fuel Type, Year Home Built, Size of Home, Number of Units, Job Type, Type of Dwelling, Measure Type, Estimated Annual kWh Savings, Estimated Annual MMBtu Savings, First Year Modeled Energy Savings $ Estimate (USD). How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

This dataset is a snapshot from October 2022 of all 48 homes in a section of a neighborhood nearby a large university in Central Florida. All of the homes are single family homes featuring a garage, a driveway, and a fenced-in backyard. Data was gathered by hand (keyboard) via a collection of sites, including Zillow, Realtor, Redfin, Trulia, and Orange County Property Appraiser. All homes were built in the same year in the early 2000's and feature central air and all other utilities typical of contemporary suburban homes in the United States. The area is close to a university and a large portion of renters are college students and young professionals, as well as families and older adults.

There are 30 columns:

• HID: House ID, a unique identifier for each house (int from 1 to 48, not the actual address number) -Sqft: The Square Footage of the Interior of the house (int) -LandSqft: The Total Square Footage of the land (int) -Neighbors: The number of homes directly adjacent to each house (int) -Stories: The number of stories in each house (int) -Pool: Does the house have a pool (int, 0 for 'No', 1 for 'Yes') -Bedrooms: The number of bedrooms in each house (int) -Bathrooms: The number of bathrooms (full or half) in each house (int) -DateLastSold: The date on which the house was last sold (datetime) -PropertyTaxes2022: The annual property taxes for 2022 (float) -OwnedByBank: Is the house owned by a bank (int, 0 for 'No', 1 for 'Yes') -OuterPortion: Is the house on the Outer Portion of the Neighborhood (int, 0 for 'No', 1 for 'Yes') -NextToLoudRoad: Is the house directly adjacent to a loud road (int, 0 for 'No', 1 for 'Yes') -PriceLastSold: Price that the house was last sold for (float) -Zestimate: Zillow's Price Estimate for the house (float) -RentZestimate: Zillow's Estimate for the Monthly Price of rent for the house (float) -RealtorcomEstimate: Realtor dot com's Estimate for the house (float) -RedfinEstimate: Redfin's Estimate for the house (float) -TruliaEstimate: Trulia's Estimate for the house (float) -OCPALandValue2022: The Land Value on the county's 2022 records (float) -OCPABuildingValue2022: The Building Value on the county's 2022 records (float) -OCPAFeaturesValue2022: The Features Value on the county's 2022 records (float) -OCPAMarketValue2022: The Market Value on the county's 2022 records (float) -OCPAAssessedValue2022: The Assessed Value on the county's 2022 records (float), AKA what homeowners are taxed on -OCPALandValue2021: The Land Value on the county's 2021 records (float) -OCPABuildingValue2021: The Building Value on the county's 2021 records (float) -OCPAFeaturesValue2021: The Features Value on the county's 2021 records (float) -OCPAMarketValue2021: The Market Value on the county's 2021 records (float) -OCPAAssessedValue2021: The Assessed Value on the county's 2021 records (float), AKA what homeowners are taxed on -Notes: any notes on any of the homes (str)

Note that while the dataset is exhaustive in that it has all of the houses, some homes are missing some columns, typically because a home did not feature a estimate on a site or the one home not found on the property appraiser's site. This also is therefore not a randomized dataset, so the only population of homes that it can be used to infer on are those within this specific portion of the neighborhood. Personally, I am going to use the dataset to practice a couple of aspects of real-world data: Cleaning, Imputing, and Exploratory Data Analysis. Mainly, I want to compare different approaches to filling in the missing values of the dataset, then do some Model Building with some additional Dimensionality Reduction.

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.

As part of a commitment to drive greater transparency and accountability for the delivery of social housing across the country, Minister for Housing, Planning & Local Government Eoghan Murphy today (20 February, 2019) published social housing delivery figures for the high-level programmes of build, acquisition, leasing, HAP and RAS for all 31 local authorities. In 2018, delivery against target has been published, on a quarterly basis, on the Rebuilding Ireland website and the full year of activity by each local authority can now be reviewed on the website. Overall, the target for social housing delivery in 2018, under Rebuilding Ireland, was exceeded by 6% and the housing needs of over 27,103 households were met. Of note is the following: • 8,422 new homes were brought into the active social housing stock through build, acquisitions, voids and leasing programmes in 2018. (4,251 build; 560 renovated voids; 2,610 acquisitions & 1,001 long-term leased). • There was an 85% increase in new build social homes in 2018 when compared to 2017 (excluding voids). • The number of new social housing homes built in 2018 was eight times greater than the number built in 2015, the year before Rebuilding Ireland (excluding voids). • Construction figures from December 2018 show almost 5,000 new social housing homes currently being built across 291 sites and this is being added to on a weekly basis. • 38% delivered by AHB’s in partnership with local authorities. • New build and long term leasing is helping us move away from HAP solutions as demonstrated by the fact that new HAP solutions did not increase significantly in 2018, but all other delivery streams did. At last week’s Housing Summit Minister Murphy took the opportunity to discuss individual rates of delivery for each local authority against their target and also stressed the need to further accelerate and enhance delivery pipelines, in particular new-build activity. Minister Murphy again reaffirmed the Department of Housing, Planning and Local Government commitment to supporting local authorities and Approved Housing Bodies deliver much-needed homes across the country. He emphasised that funding and resources are not an issue and that any delivery targets set for local authorities are minimum targets and stressed the importance of each local authority doing as much as possible. In Galway, where there are significant delivery challenges, Minister Murphy is establishing a Galway Housing Delivery Task Force, which will be chaired by Ms. Geraldine Tallon, former Secretary General. Ms. Tallon currently chairs the Cork Housing Delivery Task Force, which has supported Cork City Council deliver 117% of their build target and Cork County Council 126% of their build target.

Number of new residential property sales in England and Wales, by property type and administrative geographies. Annual data.

Analysis of ‘Social Housing Delivery Output to end of Q4 2018’ 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-c5d47b81-b69c-4869-93d1-ce9def3ca6df on 15 January 2022.

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

As part of a commitment to drive greater transparency and accountability for the delivery of social housing across the country, Minister for Housing, Planning & Local Government Eoghan Murphy today (20 February, 2019) published social housing delivery figures for the high-level programmes of build, acquisition, Leasing, HAP and RAS for all 31 local authorities.

In 2018, delivery against target has been published, on a quarterly basis, on the Rebuilding Ireland website and the full year of activity by each local authority can now be Reviewed on the website.

Overall, the target for social housing delivery in 2018, under Rebuilding Ireland, was exceeded by 6 % and the housing needs of over 27,103 households were met.

Of note is the following: • 8,422 new homes were brought into the active social housing stock through build, acquisitions, voids and leasing programmes in 2018. (4,251 build; 560 renovated voids; 2,610 acquisitions & 1,001 long-term leased). • There was an 85 % increase in new build social homes in 2018 when compared to 2017 (excluding voids). • The number of new social housing homes built in 2018 was eight times greater than the number built in 2015, the year before Rebuilding Ireland. • Construction figures from December 2018 show almost 5,000 new social housing homes currently being built across 291 sites and this is being added on a weekly basis. • 38 % delivered by AHB’s in partnership with local authorities. • New build and long term Leasing is helping us move away from HAP solutions as demonstrated by the fact that new HAP solutions did not increase significantly in 2018, but all other delivery streams did.

At last week’s Housing Summit Minister Murphy took the opportunity to discuss individual rates of delivery for each local authority against their target and also stressed the need to further accelerate and enhance delivery pipelines, in particular new-build activity.

Minister Murphy again reaffirmed the Department of Housing, Planning and Local Government commitment to supporting local authorities and Approved Housing Bodies deliver much-needed homes across the country. He emphasised that funding and resources are not an issue and that any delivery targets set for local authorities are minimum targets and stressed the importance of each local authority doing as much as possible.

In Galway, where there are significant delivery challenges, Minister Murphy is establishing a Galway Housing Delivery Task Force, which will be chaired by Ms. Geraldine Tallon, former Secretary General. MS. Tallon currently chairs the Cork Housing Delivery Task Force, which has supported Cork City Council deliver 117 % of their build target and Cork County Council 126 % of their build target.

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

The statistics on building permits granted provide information on the number of houses to be built. The statistics on dwellings provide information on the number of houses constructed. The statistics on the dwelling stock provide information on the dwelling stock by type of dwelling.

Subjects: Number of dwellings for which building permits have been issued by ownership and client. Number of houses to be finished. Number of houses finished by ownership, client, type and number of rooms.

Dwelling stock and changes in the dwelling stock. Stock recreational houses and number of places in special buildings.

Data published by groups of provinces, provinces, COROP-regions, urban regions, metropolitan agglomerations and municipalities.

Data available from: 1988-2011

Status of the figures: All data in the table are definite.

Changes as of 16 january 2014: Non, this table has been discontinued after the updates of reporting year 2011. Since registration year 2012, the figures about changes in the dwelling stock come from a different source. New series have been started to avoid a break in current trends within one table. The relevant figures are published in new tables. Links to relevant tables and articles can be found in section 3.

When will new figures be published? This table has been discontinued.

Housing Starts in Canada decreased to 279.50 Thousand units in May from 280.20 Thousand units in April of 2025. This dataset provides the latest reported value for - Canada Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This table publishes figures on: - the number of new homes for which an 'environmental permit with activity building' (previously building permits) has been granted; - the number of new homes still to be completed. - the number of completed new homes. This data is broken down into the following characteristics: - region: parts of the country, provinces, COROP areas, city regions, metropolitan agglomerations and municipalities; - clients; - ownership form. And for the completed homes: - home size number of rooms; - housing type single-family and multi-family homes. Data available from 1995 to 2011. Status of the figures: The figures in this table are final. When will new numbers come out? This table was discontinued on 29 March 2013. Reason for discontinuation: This table has not been updated after the 2011 reporting period with figures on completed new-build homes. These figures come from January 2012 from the Key Registers of Addresses and Buildings (BAG) and will be published in May 2013 in new tables. The figures on permits for new-build homes are continued in a new table 'New-build homes, permits' (see also section 3)

Older housing can impact the quality of the occupant's health in a number of ways, including lead exposure, housing quality, and factors that may exacerbate respiratory conditions, like asthma. Data from the U.S. Census Bureau contains Census Tract estimates of housing age, and Allegheny County assessment data provides parcel-level information on the year residential properties were built.

Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.

These datasets provide information collected through EnerGuide Rating System (ERS) residential energy efficiency evaluations. Data is provided by calendar year, at the Forward Sortation Area level (FSA, the first 3 digits of the postal code) for files since 2004. Home energy efficiency evaluations are performed by independent service organizations (SOs) and their registered Energy Advisors (EAs) using Natural Resources Canada’s (NRCan) HOT2000 software to simulate the annual energy consumption of a home, as well as the impact of recommended upgrades. EAs perform tests and collect data about the home to populate an energy model and create a HOT2000 file, which is submitted to NRCan. The ERS database includes existing housing assessments (pre retrofit (D files), post retrofit (E files)), and evaluations for new homes (plan files (P file) and as-built houses (N files)). This dataset includes over 400 fields of home specific information (e.g. heating equipment fuel type, number of doors, etc.) available at the FSA level. Note that NRCan initiatives (ERS for existing and new homes) are voluntary, and may be affected by self-selection bias. Data is based on homes that received an EnerGuide Rating System evaluation and may not be representative of the entire Canadian housing stock. Some areas may be better represented due to participation in local incentive programs. In accordance with Statistics Canada policies, FSA’s with data from less than 10 homes have been removed from the dataset to protect against re-identification. Calculation results (such as energy consumption, heat losses and greenhouse gas emissions) are based on standardized operating conditions and long-term climate data. Data from a home energy evaluation is collected and entered manually and is subject to human error, despite some validations being done on each file. This dataset is provided to support research on residential energy efficiency. It is not intended to report on participation in energy retrofit incentive programs. The HOT2000 software calculations and data collection procedures have changed over time. Refer to the Data Dictionary for details. Natural Resources Canada is not responsible for the accuracy or completeness of the information contained in the reproduced material. Natural Resources Canada shall at all times be indemnified and held harmless against any and all claims whatsoever arising out of negligence or other fault in the use of the information contained in this publication or product.