61 datasets found
  1. Average price per square foot in new single-family homes U.S. 2000-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Average price per square foot in new single-family homes U.S. 2000-2023 [Dataset]. https://www.statista.com/statistics/682549/average-price-per-square-foot-in-new-single-family-houses-usa/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting *** U.S. dollars per square foot in 2022. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

  2. USA Real-Estate dataset (Homes.com)

    • kaggle.com
    Updated Mar 7, 2024
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    sublimE009 (2024). USA Real-Estate dataset (Homes.com) [Dataset]. https://www.kaggle.com/datasets/gitadityamaddali/usa-real-estate-dataset-homes-com/suggestions?status=pending&yourSuggestions=true
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 7, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    sublimE009
    Area covered
    United States
    Description

    Dataset

    This dataset was created by sublimE009

    Contents

  3. Size of purchased homes in the U.S. 2024

    • statista.com
    Updated May 21, 2025
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    Statista (2025). Size of purchased homes in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/505340/size-of-homes-purchased-usa/
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    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2023 - Jun 2024
    Area covered
    United States
    Description

    The majority of houses purchased in the United States in 2024 were between 1,500 and 2,500 square feet. These accounted for about 51 percent of purchases made by house buyers in that year. On the other hand, about nine percent of buyers purchased homes larger than 3500 square feet.

  4. F

    Housing Inventory: Median Home Size in Square Feet in the United States

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
    + more versions
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    (2025). Housing Inventory: Median Home Size in Square Feet in the United States [Dataset]. https://fred.stlouisfed.org/series/MEDSQUFEEUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory: Median Home Size in Square Feet in the United States (MEDSQUFEEUS) from Jul 2016 to May 2025 about square feet, median, and USA.

  5. Average square footage price of luxury homes North America 2020-24, by...

    • statista.com
    Updated Sep 10, 2024
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    Statista (2024). Average square footage price of luxury homes North America 2020-24, by property type [Dataset]. https://www.statista.com/statistics/1234964/sales-price-per-square-foot-luxury-homes-north-america-by-property-type/
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    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Prices for luxury housing in July 2024 were slightly lower than the market peak in 2021 and 2022. Luxury single-family properties had a median square footage price of 419 U.S. dollars in July 2024, down from 428 U.S. dollars in July 2022. Attached houses, on the other hand, had a median price of 484 U.S. dollars per square foot, down from 578 U.S. dollars in July 2021.

  6. T

    Median Home Price

    • internal.open.piercecountywa.gov
    • open.piercecountywa.gov
    Updated Jun 23, 2020
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    Washington Center for Real Estate Research (2020). Median Home Price [Dataset]. https://internal.open.piercecountywa.gov/w/cc6w-mz36/default?cur=7wtzNH29uWd
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    application/rdfxml, kml, application/rssxml, csv, kmz, tsv, application/geo+json, xmlAvailable download formats
    Dataset updated
    Jun 23, 2020
    Dataset authored and provided by
    Washington Center for Real Estate Research
    Description

    This dataset uses data provided from Washington State’s Housing Market, a publication of the Washington Center for Real Estate Research (WCRER) at the University of Washington.

    Median sales prices represent that price at which half the sales in a county (or the state) took place at higher prices, and half at lower prices. Since WCRER does not receive sales data on individual transactions (only aggregated statistics), the median is determined by the proportion of sales in a given range of prices required to reach the midway point in the distribution. While average prices are not reported, they tend to be 15-20 percent above the median.

    Movements in sales prices should not be interpreted as appreciation rates. Prices are influenced by changes in cost and changes in the characteristics of homes actually sold. The table on prices by number of bedrooms provides a better measure of appreciation of types of homes than the overall median, but it is still subject to composition issues (such as square footage of home, quality of finishes and size of lot, among others).

    There is a degree of seasonal variation in reported selling prices. Prices tend to hit a seasonal peak in summer, then decline through the winter before turning upward again, but home sales prices are not seasonally adjusted. Users are encouraged to limit price comparisons to the same time period in previous years.

  7. Real Estate Sales 730 Days

    • kaggle.com
    Updated Dec 7, 2022
    + more versions
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    The Devastator (2022). Real Estate Sales 730 Days [Dataset]. https://www.kaggle.com/datasets/thedevastator/analyzing-hartford-real-estate-sales-over-730-da/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    The Devastator
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Real Estate Sales 730 Days

    City of Hartford real estate sales for the past 2 years

    By [source]

    About this dataset

    This dataset contains data on City of Hartford real estate sales for the last two years, with comprehensive records including property ID, parcel ID, sale date, sale price and more. This dataset is continuously updated each night and sourced from an official reliable source. The columns in this dataset include LocationStartNumber, ApartmentUnitNumber, StreetNameAndWay, LandSF TotalFinishedArea, LivingUnits ,OwnerLastName OwnerFirstName ,PrimaryGrantor ,SaleDate SalePrice ,TotalAppraisedValue and LegalReference - all valuable information to anyone wishing to understand the recent market trends and developments in the City of Hartford real estate industry. With this data providing detailed insights into what properties are selling at what time frame and for how much money – let’s see what secrets we can learn from examining the City of Hartford real estate activity!

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    How to use the dataset

    This dataset contains helpful information about homes sold in the Hartford area over the past two years. This data can be used to analyze trends in real estate markets, as well as monitor sales activity for various areas.

    In order to use this dataset, you will need knowledge of EDA (Exploratory Data Analysis) such as data cleaning and data visualization techniques. You will also need a basic understanding of SQL queries and Python scripting language.

    The first step is to familiarize yourself with the columns and information contained within the dataset by analyzing descriptive statistics like mean, min, max etc. Next you can filter or “slice” the data based on certain criteria or variables that interest you - such as sale date range, location (by street name or zip code), sale price range, type of dwelling unit etc. After using various filters for analysis it is important to take an error-check step by looking for outliers or any discrepancies that may exist - this will ensure more accuracy in results when plotting graphs and visualizing trends via software tools like Tableau and Power BI etc.

    Next you can conduct exploratory analysis through plot visualizations of relationships between buyer characteristics (first & last name) vs prices over time; living units vs square footage stats; average price per bedroom/bathroom ratio comparisons etc – all while taking into account external factors such as seasonal changeovers that could affect pricing fluctuations during given intervals across multiple neighborhoods - use interactive maps if available ets. At this point it's easy to compile insightful reports containing commonalities amongst buyers and begin generalizing your findings with extrapolations which allow us gain a better understanding of current market conditions across different demographic spectrums being compared ie traditional Vs luxury properties – all made possible simply through dedicated research with datasets like these!

    Research Ideas

    • Analyzing market trends in the City of Hartford's real estate industry by tracking sale prices and appraised values over time to identify regions who are being under or over valued.
    • Conducting a predictive analysis project to predict future sales prices, annual appreciation rates, and key features associated with residential properties such as total finished area and living units for investment purposes.
    • Studying the impact of local zoning laws on property ownership and development by comparing sale dates, primary grantors, legal references, street names and ways in a given area over time

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

    Columns

    File: real-estate-sales-730-days-1.csv | Column name | Description | |:------------------------|:---------------------------------------------------------------| | LocationStartNumber | The starting number of the location of the property. (Integer) | | ApartmentUnitNumber | The apartment unit number of the property. (Integer) | | StreetNameAndWay | The st...

  8. Average construction costs for single-family homes in the U.S. 1998-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Average construction costs for single-family homes in the U.S. 1998-2024 [Dataset]. https://www.statista.com/statistics/682358/average-construction-costs-for-single-family-homes-usa/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average construction cost of a single-family home in the United States was about ******* U.S. dollars in 2024, about ****** U.S. dollars more expensive than in 2022. The source also adds that interior finishes – which includes insulation, flooring, and appliances – accounted for the largest share of costs at ** percent. U.S. housing construction slows Construction work was underway on over 1,000 single-family housing units in the United States in 2024. This number increased year-on-year between 2011 and 2021, followed by a notable decline in the next two years. Despite this trend, the industry experts are optimistic about construction levels picking up until 2026. The median size of a new single-family home has also shrunk. In 2023, the average home had approximately ***** square feet of floor space, about *** square feet less than in 2015. How many homes are sold each year in the United States? Less than ************ homes were sold in the United States in 2023, the majority of which were existing home sales. The median sales price of an existing single-family home was ******* U.S. dollars in that year, a figure that has risen steadily since 2011. Those in the market for a newly constructed single-family home will have to pay more, with the median sales price at ******* U.S. dollars in 2022.

  9. c

    Redfin properties dataset

    • crawlfeeds.com
    csv, zip
    Updated Jun 13, 2025
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    Crawl Feeds (2025). Redfin properties dataset [Dataset]. https://crawlfeeds.com/media-datasets/redfin-properties-dataset
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Our dataset features comprehensive housing market data, extracted from 250,000 records sourced directly from Redfin USA. Our Crawl Feeds team utilized proprietary in-house tools to meticulously scrape and compile this valuable data.

    Key Benefits of Our Housing Market Data:

    • In-Depth Market Analysis: Gain insights into the real estate market with up-to-date data on recently sold properties.

    • Price Trend Identification: Track and analyze price trends across different cities.

    • Accurate Price Estimation: Estimate property values based on key factors such as area, number of beds and baths, square footage, and more.

    • Detailed Real Estate Statistics: Access detailed statistics segmented by zip code, area, and state.

    Unlock the Power of Redfin Data for Real Estate Professionals

    Leveraging our Redfin properties dataset allows real estate professionals to make data-driven decisions. With detailed insights into property listings, sales history, and pricing trends, agents and investors can identify opportunities in the market more effectively. The data is particularly useful for comparing neighborhood trends, understanding market demand, and making informed investment decisions.

    Enhance Your Real Estate Research with Custom Filters and Analysis

    Our Redfin dataset is not only extensive but also customizable, allowing users to apply filters based on specific criteria such as property type, listing status, and geographic location. This flexibility enables researchers and analysts to drill down into the data, uncovering patterns and insights that can guide strategic planning and market entry decisions. Whether you're tracking the performance of single-family homes or exploring multi-family property trends, this dataset offers the depth and accuracy needed for thorough analysis.

    Looking for deeper insights or a custom data pull from Redfin?
    Send a request with just one click and explore detailed property listings, price trends, and housing data.
    🔗 Request Redfin Real Estate Data

  10. o

    Zillow Properties Listing Information Dataset

    • opendatabay.com
    .other
    Updated Jun 16, 2025
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    Bright Data (2025). Zillow Properties Listing Information Dataset [Dataset]. https://www.opendatabay.com/data/premium/0bdd01d7-1b5b-4005-bb73-345bc710c694
    Explore at:
    .otherAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Bright Data
    Area covered
    Urban Planning & Infrastructure
    Description

    Zillow Properties Listing dataset to access detailed real estate listings, including property prices, locations, and features. Popular use cases include market analysis, property valuation, and investment decision-making in the real estate sector.

    Use our Zillow Properties Listing Information dataset to access detailed real estate listings, including property features, pricing trends, and location insights. This dataset is perfect for real estate agents, investors, market analysts, and property developers looking to analyze housing markets, identify investment opportunities, and assess property values.

    Leverage this dataset to track pricing patterns, compare property features, and forecast market trends across different regions. Whether you're evaluating investment prospects or optimizing property listings, the Zillow Properties dataset offers essential information for making data-driven real estate decisions.

    Dataset Features

    • zpid: Unique property identifier assigned by Zillow.
    • city: The name of the city where the property is located.
    • state: The state in which the property is located.
    • homeStatus: Indicates the current status of the property
    • address: The full address of the property, including street, city, and state.
    • isListingClaimedByCurrentSignedInUser: This field shows if the current Zillow user has claimed ownership of the listing.
    • isCurrentSignedInAgentResponsible: This field indicates whether the currently signed-in real estate agent is responsible for the listing.
    • bedrooms: Number of bedrooms in the property.
    • bathrooms: Number of bathrooms in the property.
    • price: Current asking price of the property.
    • yearBuilt: The year the home was originally constructed.
    • streetAddress: Specific street address (usually excludes city/state/zip).
    • zipcode: The postal ZIP code of the property.
    • isCurrentSignedInUserVerifiedOwner: This field indicates if the signed-in user has verified ownership of the property on Zillow.
    • isVerifiedClaimedByCurrentSignedInUser: Indicates whether the user has claimed and verified the listing as the current owner.
    • listingDataSource: The original source of the listing. Important for data lineage and trustworthiness.
    • longitude: The longitudinal geographic coordinate of the property.
    • latitude: The latitudinal geographic coordinate of the property.
    • hasBadGeocode: This indicates whether the geolocation data is incorrect or problematic.
    • streetViewMetadataUrlMediaWallLatLong: A URL or reference to the Street View media wall based on latitude and longitude.
    • streetViewMetadataUrlMediaWallAddress: A similar URL reference to the Street View, but based on the property’s address.
    • streetViewServiceUrl: The base URL to Google Street View or similar services. Enables interactive visuals of the property’s surroundings.
    • livingArea: Total internal living area of the home, typically in square feet.
    • homeType: The category/type of the home.
    • lotSize: The size of the entire lot or land the home is situated on.
    • lotAreaValue: The numerical value representing the lot area is usually tied to a measurement unit.
    • lotAreaUnits: Units in which the lot area is measured (e.g., sqft, acres).
    • livingAreaValue: The numeric value of the property's interior living space.
    • livingAreaUnitsShort: Abbreviated unit for living area (e.g., sqft), useful for compact displays.
    • isUndisclosedAddress: Boolean indicating if the full property address is hidden, typically used for privacy reasons.
    • zestimate: Zillow’s estimated market value of the home, generated via its proprietary model.
    • rentZestimate: Zillow’s estimated rental price per month, is helpful for rental market analysis.
    • currency: Currency used for price, Zestimate, and rent estimate (e.g., USD).
    • hideZestimate: Indicates whether the Zestimate is hidden from public view.
    • dateSoldString: The date when the property was last sold, in string format (e.g., 2022-06-15).
    • taxAssessedValue: The most recent assessed value of the property for tax purposes.
    • taxAssessedYear: The year in which the property was last assessed.
    • country: The country where the property is located.
    • propertyTaxRate: The most recent tax rate.
    • photocount: This column provides a photo count of the property.
    • isPremierBuilder: Boolean indicating whether the builder is listed as a premier (trusted) builder on Zillow.
    • isZillowOwned: Indicates whether the property is owned or managed directly by Zillow.
    • ssid: A unique internal Zillow identifier for the listing (not to be confused with network SSID).
    • hdpUrl: URL to the home’s detail page on Zillow (Home Details Page).
    • tourViewCount: Number of times users have viewed the property tour.
    • hasPublicVideo: This
  11. Manufactured Homes Sales Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Manufactured Homes Sales Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-manufactured-homes-sales-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Manufactured Homes Sales Market Outlook



    The global manufactured homes sales market size was valued at approximately $25 billion in 2023 and is projected to reach nearly $40 billion by 2032, growing at a robust CAGR of 5% during the forecast period. The market growth is being driven by the increasing demand for affordable housing solutions, rising urbanization, and advancements in manufacturing technologies. Manufactured homes offer a cost-effective alternative to traditional site-built homes, making them an attractive option for various demographics, including retirees, young families, and single individuals.



    One of the primary growth factors of the manufactured homes sales market is the affordability and cost-effectiveness of these homes. Manufactured homes generally cost less per square foot compared to traditional site-built homes, making homeownership more accessible to a broader range of people. This affordability is particularly crucial in regions facing housing shortages and high real estate prices. Additionally, the controlled manufacturing environment allows for better quality control and reduced waste, further lowering the overall cost for consumers.



    Another significant growth factor is the rising trend of urbanization and the increasing demand for housing in urban centers. As more people move to cities for work and better living conditions, the demand for affordable housing options is surging. Manufactured homes can be quickly deployed to meet this demand, offering a flexible and scalable solution to urban housing challenges. Moreover, advancements in design and construction have made modern manufactured homes more aesthetically appealing and energy-efficient, broadening their appeal to a larger audience.



    The increasing focus on sustainability and eco-friendly living is also contributing to the growth of the manufactured homes sales market. Manufactured homes are generally built with energy-efficient materials and appliances, which not only reduce the environmental impact but also offer long-term savings on utility bills for homeowners. Innovations in green building technologies, such as solar panel integration and enhanced insulation, are making manufactured homes an attractive option for environmentally-conscious consumers. This trend is expected to continue, further propelling market growth over the forecast period.



    As the manufactured homes market continues to grow, it's important for homeowners to consider the various insurance options available to protect their investments. Mobile Home Insurance is a crucial aspect of owning a manufactured home, providing coverage for potential damages and losses. This type of insurance typically covers the structure of the home, personal belongings, and liability protection in case of accidents or injuries on the property. With the increasing number of manufactured homes being sold, understanding the nuances of Mobile Home Insurance can help homeowners make informed decisions and ensure their homes are adequately protected against unforeseen events.



    Regionally, North America holds the largest market share in the manufactured homes sales market, driven by high demand in the United States and Canada. The affordability of manufactured homes and supportive government policies, such as favorable financing options and zoning regulations, are key factors contributing to this dominance. Europe and Asia Pacific are also expected to witness significant growth, with increasing urbanization and rising property prices driving demand for cost-effective housing solutions. The Middle East & Africa and Latin America are anticipated to experience moderate growth due to economic challenges and varying levels of market maturity.



    Home Type Analysis



    The market for manufactured homes is segmented by home type into Single-Wide, Double-Wide, and Triple-Wide categories. Single-Wide homes, which are typically narrower and more compact, are popular due to their affordability and ease of transportation. These homes are particularly favored by first-time buyers and retirees looking for cost-effective living solutions. The simplicity of Single-Wide homes also allows for quicker construction and setup times, making them a convenient option for those in urgent need of housing.



    Double-Wide homes, on the other hand, offer more living space and amenities compared to Single-Wide homes. These homes are essentially two Single-Wide units joined together, providing a more spacious and

  12. Total home square footage in the U.S. 2015-2023

    • statista.com
    Updated Jan 7, 2022
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    Statista (2022). Total home square footage in the U.S. 2015-2023 [Dataset]. https://www.statista.com/statistics/1072321/total-home-square-footage-usa-timeline/
    Explore at:
    Dataset updated
    Jan 7, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2018, all homes in the United States measured 256.71 billion square feet, and the total square footage of homes is set to reach 256.71 billion square feet by 2023.

  13. Cost breakdown of the sales price of single-family homes in the U.S....

    • statista.com
    • ai-chatbox.pro
    Updated Mar 4, 2025
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    Statista (2025). Cost breakdown of the sales price of single-family homes in the U.S. 1998-2024 [Dataset]. https://www.statista.com/statistics/1366664/single-family-homes-price-breakdown-usa/
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    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to home builders, the construction costs comprise the largest share of the sales price of a single-family home, followed by the finishing lot cost. In 2024, these two categories accounted for about 80 percent of the final property price. The cost of finishing the lot as a share of all costs has decreased notably, falling by 10 percentage points since 1998. In 2024, the breakdown applies to a home with an average lot size of approximately 21,000 square feet, finished area of 2,647 square feet, and an average final sales price of 665,000 U.S. dollars. This is much higher than the median sales price of a newly built home according to the US Census Bureau, but the source explains that with the survey design, which gives more weigh to smaller builders who potentially operate in the higher priced-segment.

  14. F

    Housing Inventory: Median Listing Price per Square Feet in Florida

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
    + more versions
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    (2025). Housing Inventory: Median Listing Price per Square Feet in Florida [Dataset]. https://fred.stlouisfed.org/series/MEDLISPRIPERSQUFEEFL
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Florida
    Description

    Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in Florida (MEDLISPRIPERSQUFEEFL) from Jul 2016 to May 2025 about square feet, FL, listing, median, price, and USA.

  15. Residential Real Estate Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    Updated Dec 15, 2022
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    Technavio (2022). Residential Real Estate Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, and UK), APAC (Australia, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/residential-real-estate-market-analysis
    Explore at:
    Dataset updated
    Dec 15, 2022
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Mexico, United Kingdom, France, Japan, Germany, Europe, Canada, United States, Global
    Description

    Snapshot img

    Residential Real Estate Market Size 2025-2029

    The residential real estate market size is forecast to increase by USD 485.2 billion at a CAGR of 4.5% between 2024 and 2029.

    The market is experiencing significant growth, fueled by increasing marketing initiatives that attract potential buyers and tenants. This trend is driven by the rising demand for housing solutions that cater to the evolving needs of consumers, particularly in urban areas. However, the market's growth trajectory is not without challenges. Regulatory uncertainty looms large, with changing policies and regulations posing a significant threat to market stability. Notably, innovative smart home technologies, such as voice-activated assistants and energy-efficient appliances, are gaining traction, offering enhanced convenience and sustainability for homeowners.
    As such, companies seeking to capitalize on the opportunities presented by the growing the market must navigate these challenges with agility and foresight. The residential construction industry's expansion is driven by urbanization and the rising standard of living in emerging economies, including India, China, Thailand, Malaysia, and Indonesia. By staying abreast of regulatory changes and implementing innovative marketing strategies, they can effectively meet the evolving needs of consumers and maintain a competitive edge. These regulatory shifts can impact everything from property prices to financing options, making it crucial for market players to stay informed and adapt quickly.
    

    What will be the Size of the Residential Real Estate Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic housing market analysis, small flats continue to be a popular choice for both investors and first-time homebuyers, driven by affordability and urban growth. International investment in housing projects, including apartments and condominiums, remains strong, offering attractive investment returns. Real estate syndication and property management software facilitate efficient property ownership and management. Real estate loans, property insurance, and urban planning are essential components of the housing market, ensuring the development of affordable housing and addressing the needs of the middle class and upper middle class. Property disputes, property tax assessments, and real estate litigation are ongoing challenges, requiring careful attention from stakeholders.
    Property search engines streamline the process of finding the perfect property, from studio apartments to luxury homes. Real estate auctions, land banking, and nano apartments are innovative solutions in the market, while property flipping and short sales provide opportunities for savvy investors. Urban growth and community development are key trends, with a focus on sustainable, planned cities and the integration of technology, such as real estate blockchain, into the industry. Developers secure building permits, review inspection reports, and manage escrow accounts during real estate transactions. Key services include contract negotiation, dispute resolution, and tailored investment strategies for portfolio management. Financial aspects cover tax implications, estate planning, retirement planning, taxdeferred exchanges, capital gains, tax deductions, and maintaining positive cash flow for sustained returns.
    

    How is this Residential Real Estate Industry segmented?

    The residential real estate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Mode Of Booking
    
      Sales
      Rental or lease
    
    
    Type
    
      Apartments and condominiums
      Landed houses and villas
    
    
    Location
    
      Urban
      Suburban
      Rural
    
    
    End-user
    
      Mid-range housing
      Affordable housing
      Luxury housing
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        Australia
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Mode Of Booking Insights

    The sales segment is estimated to witness significant growth during the forecast period. The sales segment dominates the global residential real estate market and will continue to dominate during the forecast period. The sales segment includes the sale of any property that is majorly used for residential purposes, such as single-family homes, condos, cooperatives, duplexes, townhouses, and multifamily residences. With the growing population and urbanization, the demand for homes is also increasing, which is the major factor driving the growth of the sales segment. Moreover, real estate firms work with developers to sel

  16. Average size of luxury homes North America 2023-2024, by property type

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Average size of luxury homes North America 2023-2024, by property type [Dataset]. https://www.statista.com/statistics/1235001/square-footage-of-luxury-homes-north-america-by-property-type/
    Explore at:
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2023 - Jul 2024
    Area covered
    United States
    Description

    Between July 2023 and July 2024, the average size of luxury homes sold in North America decreased. In 2024, the average size of a single-family home was 3,279 square feet, while the average size of an attached home was 1,901 square feet.

  17. A

    ‘Single-Family Home Sale Prices by Census Tract’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 27, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Single-Family Home Sale Prices by Census Tract’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-single-family-home-sale-prices-by-census-tract-6225/latest
    Explore at:
    Dataset updated
    Jan 27, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Single-Family Home Sale Prices by Census Tract’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/cbccc4f8-a392-4207-9278-8c6698830b5d on 27 January 2022.

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

    Displacement risk indicator classifying census tracts according to single-family home sale prices. Each census tract where at least 100 single-family homes were sold in arms-length transactions are classified along two dimensions:

    1. The average price of sales within the census tract for the specified year, balancing between nominal sale price and sale price per square foot.
    2. The change in average sale price (again balanced between nominal sale price and price per square foot) from the previous year.

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

  18. Manufactured Homes and Mobile Homes Sales Market Report | Global Forecast...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Manufactured Homes and Mobile Homes Sales Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-manufactured-homes-and-mobile-homes-sales-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Manufactured Homes and Mobile Homes Sales Market Outlook




    The global manufactured homes and mobile homes sales market size was valued at approximately $27.5 billion in 2023 and is projected to reach around $42.8 billion by 2032, registering a CAGR of 5.1% during the forecast period. The growth in this market is primarily driven by increasing demand for affordable housing solutions, advancements in manufacturing technologies, and the rising trend of downsizing and minimalistic living among the population.




    One significant growth factor for the manufactured homes and mobile homes sales market is the affordability compared to traditional housing. With real estate prices soaring in urban areas, many individuals and families are turning to manufactured and mobile homes as a cost-effective housing option. These homes provide the necessary amenities at a fraction of the cost of conventional homes, thereby attracting a large segment of budget-conscious buyers. Additionally, the financial benefits extend beyond the initial purchase, with lower maintenance costs and property taxes, which further appeal to cost-savvy consumers.




    Another growth driver is the advancement in construction and manufacturing technologies. Modern manufactured and mobile homes are designed using state-of-the-art building methods and materials that enhance durability, energy efficiency, and overall living comfort. These technological innovations have significantly improved the quality perception of manufactured homes, making them a viable alternative to traditional housing. The incorporation of smart home technologies and sustainable building practices also aligns with the growing consumer preference for eco-friendly and connected living environments.




    Moreover, the changing demographics and lifestyle preferences are contributing to the market growth. The increasing trend of minimalistic and mobile living among millennials and retirees is fostering the demand for manufactured and mobile homes. This segment of the population values flexibility, mobility, and low-maintenance living, all of which are offered by manufactured homes. The adaptability of these homes to various locations and the ease of relocation also cater to the needs of a more transient and adventurous lifestyle.



    The market for Prefabricated Home Sales is witnessing a notable surge as consumers increasingly seek out efficient and sustainable housing solutions. Prefabricated homes, often synonymous with manufactured and mobile homes, offer a streamlined construction process that reduces waste and minimizes environmental impact. This method of construction not only supports eco-friendly initiatives but also significantly cuts down on building time, allowing homeowners to move into their new residences more quickly. As the demand for sustainable living grows, prefabricated homes are becoming a popular choice among environmentally conscious buyers who value both efficiency and quality in their housing options.




    From a regional perspective, North America holds a significant share of the market due to the high acceptance and established infrastructure for manufactured and mobile homes. The United States, in particular, has a long history and a substantial market for these types of dwellings, supported by favorable regulations and financing options. The Asia Pacific region is also expected to witness substantial growth, driven by rapid urbanization, population growth, and increasing disposable incomes in countries like China and India. These regions are recognizing the potential of manufactured homes as a solution to their housing shortages and urban sprawl issues.



    Product Type Analysis




    The product type segment of the manufactured homes and mobile homes sales market is categorized into Single-Wide Homes, Double-Wide Homes, and Triple-Wide Homes. Single-Wide Homes are the most economical and compact option, typically featuring a narrow floor plan that can be easily transported. This segment is particularly popular among first-time buyers and individuals looking for a minimalistic lifestyle. Single-Wide Homes often appeal to young professionals and small families due to their affordability and efficient use of space.




    Double-Wide Homes offer more living space and are designed to be assembled on-site from two sections. This type o

  19. D

    Manufactured Homes Modular Homes and Mobile Homes Sales Market Report |...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Manufactured Homes Modular Homes and Mobile Homes Sales Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-manufactured-homes-modular-homes-and-mobile-homes-sales-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Manufactured Homes, Modular Homes, and Mobile Homes Sales Market Outlook



    The manufactured homes, modular homes, and mobile homes sales market size is projected to witness robust growth, with a compound annual growth rate (CAGR) of 6.2% from 2024 to 2032. In 2023, the global market size was valued at approximately USD 25 billion and is anticipated to reach around USD 41.5 billion by 2032. This growth is driven by several factors including increasing demand for affordable housing solutions, advancements in construction technology, and rising awareness about the benefits of modular and manufactured homes.



    One of the primary growth factors for the market is the escalating demand for affordable housing. With urbanization on the rise and more people moving to cities, the need for cost-effective housing solutions has never been higher. Manufactured homes, modular homes, and mobile homes offer a lower-cost alternative to traditional housing, making them highly attractive to first-time homebuyers, retirees, and those looking to downsize. In addition, the quicker build times associated with these types of homes make them a viable solution to housing shortages prevalent in many urban areas.



    Technological advancements in construction methods have significantly contributed to the market's growth. Innovations such as improved materials, automation in manufacturing processes, and advanced design software have made it possible to produce high-quality manufactured and modular homes that meet stringent building codes and customer expectations. These advancements also contribute to reducing construction time and cost, thereby enhancing market attractiveness. Moreover, the ability to customize homes according to individual preferences and local building codes further fuels market demand.



    Environmental concerns and the push for sustainable living have also played a critical role in market expansion. Manufactured and modular homes are often more energy-efficient than traditional homes due to better insulation and the use of sustainable materials. These homes can be built to meet or exceed energy efficiency standards, which not only helps in reducing the carbon footprint but also significantly lowers utility bills for homeowners. This environmental advantage appeals to a growing segment of environmentally conscious consumers.



    The Single-family Detached Home Business is an emerging trend within the broader housing market, offering unique opportunities for entrepreneurs and investors. This segment focuses on standalone homes that are not attached to any other dwelling, providing privacy and space that many homeowners desire. As urban areas continue to expand, the demand for single-family detached homes is expected to rise, driven by families seeking more personal space and a connection to nature. This business model allows for customization and personalization, catering to the specific needs and preferences of individual buyers. Additionally, the flexibility in design and construction methods makes it possible to incorporate sustainable practices, appealing to environmentally conscious consumers. The growth of this sector is further supported by favorable government policies and incentives aimed at promoting homeownership and sustainable development.



    From a regional perspective, North America holds a significant share of the market, primarily due to the high rate of adoption of these housing types in the United States and Canada. The Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, driven by rapid urbanization, government initiatives promoting affordable housing, and increasing disposable incomes. Europe, Latin America, and the Middle East & Africa also present substantial growth opportunities, although the market dynamics vary significantly across these regions due to differences in economic conditions, regulatory frameworks, and consumer preferences.



    Product Type Analysis



    The product type segment of the manufactured homes, modular homes, and mobile homes sales market is categorized into single-wide homes, double-wide homes, and triple-wide homes. Single-wide homes are a popular choice among budget-conscious buyers due to their affordability and compact size. These homes are typically narrower and can be transported in one piece, making them an ideal option for individuals and small families looking for economical living solutions without compromising on essential amenities.

    <br

  20. F

    Housing Inventory: Median Listing Price per Square Feet in Texas

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
    + more versions
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    (2025). Housing Inventory: Median Listing Price per Square Feet in Texas [Dataset]. https://fred.stlouisfed.org/series/MEDLISPRIPERSQUFEETX
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Texas
    Description

    Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in Texas (MEDLISPRIPERSQUFEETX) from Jul 2016 to May 2025 about square feet, listing, TX, median, price, and USA.

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Statista (2025). Average price per square foot in new single-family homes U.S. 2000-2023 [Dataset]. https://www.statista.com/statistics/682549/average-price-per-square-foot-in-new-single-family-houses-usa/
Organization logo

Average price per square foot in new single-family homes U.S. 2000-2023

Explore at:
Dataset updated
Jun 20, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting *** U.S. dollars per square foot in 2022. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

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