88 datasets found
  1. Median sales price of luxury single family homes in selected markets in the...

    • statista.com
    Updated Jul 24, 2025
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    Statista (2025). Median sales price of luxury single family homes in selected markets in the U.S. 2025 [Dataset]. https://www.statista.com/statistics/1235073/most-expensive-markets-for-luxury-single-family-homes-in-the-usa/
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    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    United States
    Description

    Telluride, CO, was the most expensive market for luxury single-family home market in the United States in 2025. In February that year, the median sales price of a single-family home in Telluride was *** million U.S. dollars. Ft. Lauderdale, FL, and Park City, UT were other locations that fetched prices over **** million U.S. dollars.

  2. Typical price of single-family homes in the U.S. 2020-2024, by state

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Typical price of single-family homes in the U.S. 2020-2024, by state [Dataset]. https://www.statista.com/statistics/1041708/typical-home-value-single-family-homes-usa-by-state/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding ******* U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under ******* U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded **** percent in 2023.

  3. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
    + more versions
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
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    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

  4. Median sales price of existing single-family homes in the U.S. 2022-2024, by...

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Median sales price of existing single-family homes in the U.S. 2022-2024, by metro [Dataset]. https://www.statista.com/statistics/186377/median-sales-price-of-existing-homes-in-the-us-by-metropolitan-area/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The median sales price of the existing privately owned single-family homes in the United States increased slightly in 2024. The most expensive homes were found in San Jose-Sunnyvale-Santa Clara, CA, where the median sales price was *** million U.S. dollars. Hawaii and Delaware experienced the strongest home appreciation.

  5. Cost of living index in the U.S. 2024, by state

    • statista.com
    Updated May 27, 2025
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    Statista (2025). Cost of living index in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240947/cost-of-living-index-usa-by-state/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

  6. Housing Cost Burden

    • data.ca.gov
    • data.chhs.ca.gov
    • +4more
    pdf, xlsx, zip
    Updated Aug 28, 2024
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    California Department of Public Health (2024). Housing Cost Burden [Dataset]. https://data.ca.gov/dataset/housing-cost-burden
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    xlsx, pdf, zipAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    License

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

    Description

    This table contains data on the percent of households paying more than 30% (or 50%) of monthly household income towards housing costs for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Department of Housing and Urban Development (HUD), Consolidated Planning Comprehensive Housing Affordability Strategy (CHAS) and the U.S. Census Bureau, American Community Survey (ACS). The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity] Affordable, quality housing is central to health, conferring protection from the environment and supporting family life. Housing costs—typically the largest, single expense in a family's budget—also impact decisions that affect health. As housing consumes larger proportions of household income, families have less income for nutrition, health care, transportation, education, etc. Severe cost burdens may induce poverty—which is associated with developmental and behavioral problems in children and accelerated cognitive and physical decline in adults. Low-income families and minority communities are disproportionately affected by the lack of affordable, quality housing. More information about the data table and a data dictionary can be found in the Attachments.

  7. Most expensive housing markets worldwide 2020

    • statista.com
    Updated Jun 9, 2022
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    Statista (2022). Most expensive housing markets worldwide 2020 [Dataset]. https://www.statista.com/statistics/1040698/most-expensive-property-markets-worldwide/
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    Dataset updated
    Jun 9, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    In 2020, Hong Kong had the most expensive residential property market worldwide, with an average property price of 1.25 million U.S. dollars. The government of Hong Kong provide public housing for lower-income residents and almost 45 percent of the Hong Kong population lived in public permanent housing in 2018.

  8. Housing Developers in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 25, 2024
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    IBISWorld (2024). Housing Developers in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/housing-developers-industry/
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    Dataset updated
    Aug 25, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Despite the pandemic's broader economic disruptions, low interest rates in 2020 initially fueled a housing market boom driven by work-from-home orders and a shift toward residential construction. This surge was a lifeline for builders amid economic turbulence. However, the tide turned in 2022 and 2023 as the Federal Reserve's interest rate hikes curbed housing investments, dampening consumer enthusiasm and slowing residential construction activity. Low housing stock and rate cuts late in 2024 led to growth in single-family housing starts, boosting revenue. Single-family home development climbed in more affordable and less densely populated areas in 2024, but new multifamily developments have plummeted. Industry revenue has been climbing at a CAGR of 0.8% over the past five years to total an estimated $233.5 billion in 2025, including an estimated increase of 0.2% in 2025 alone. The initial boom in 2020 and 2021 led to one of the most significant expansions in home-building in recent memory, yet interest rate hikes soon tempered this growth. As smaller-scale developers struggled with escalating construction costs and regulatory hurdles, larger, financially robust companies like DR Horton, Lennar and PulteGroup managed to thrive and expand their operations. These larger companies maximized their market share, leveraging their resources to navigate the challenging economic climate and maintain momentum despite the pressures of rising material costs and labor shortages. These rising material costs and labor shortages have driven up purchase and wage costs, contributing to profit declines over the past five years. Expected interest rate cuts will boost housing developers. Developers will benefit from these favorable conditions, especially those who strategically invest in less densely populated areas to meet the growing appetite for affordable housing. Rate cuts will also provide relief to smaller housing developers more sensitive to interest rate fluctuations. Sustainability also looms on the horizon, with tax incentives and energy-efficient building standards encouraging developers to explore eco-friendly construction. Still, rising material costs and labor shortages will continue to stifle profit growth and increase housing prices. Larger companies will continue to gain market share, strategically developing homes near areas with strong job growth near new large manufacturing facilities. Industry revenue is forecast to expand at a CAGR of 1.4% to total an estimated $250.6 billion through the end of 2030.

  9. Housing Affordability Data System (HADS)

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Mar 1, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). Housing Affordability Data System (HADS) [Dataset]. https://catalog.data.gov/dataset/housing-affordability-data-system-hads
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    The Housing Affordability Data System (HADS) is a set of files derived from the 1985 and later national American Housing Survey (AHS) and the 2002 and later Metro AHS. This system categorizes housing units by affordability and households by income, with respect to the Adjusted Median Income, Fair Market Rent (FMR), and poverty income. It also includes housing cost burden for owner and renter households. These files have been the basis for the worst case needs tables since 2001. The data files are available for public use, since they were derived from AHS public use files and the published income limits and FMRs. These dataset give the community of housing analysts the opportunity to use a consistent set of affordability measures. The most recent year HADS is available as a Public Use File (PUF) is 2013. For 2015 and beyond, HADS is only available as an IUF and can no longer be released on a PUF. Those seeking access to more recent data should reach to the listed point of contact.

  10. a

    Housing Affordability Index in the United States-Copy-Copy-Copy-Copy-Copy

    • uscssi.hub.arcgis.com
    Updated Nov 10, 2021
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    Spatial Sciences Institute (2021). Housing Affordability Index in the United States-Copy-Copy-Copy-Copy-Copy [Dataset]. https://uscssi.hub.arcgis.com/maps/799e364bc9ef4d1a8c1f725a71d280e4
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    Dataset updated
    Nov 10, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    This map uses a two-color thematic shading to emphasize where areas experience the least to the most affordable housing across the US. This web map is part of the How Affordable is the American Dream story map.

    Esri’s Housing Affordability Index (HAI) is a powerful tool to analyze local real estate markets. Esri’s housing affordability index measures the financial ability of a typical household to purchase an existing home in an area. A HAI of 100 represents an area that on average has sufficient household income to qualify for a loan on a home valued at the median home price. An index greater than 100 suggests homes are easily afforded by the average area resident. A HAI less than 100 suggests that homes are less affordable. The housing affordability index is not applicable in areas with no households or in predominantly rental markets . Esri’s home value estimates cover owner-occupied homes only. For a full demographic analysis of US growth refer to Esri's Trending in 2017: The Selectivity of Growth.

    The pop-up is configured to show the following 2017 demographics for each County and ZIP Code:

    Total Households 2010-17 Annual Pop Change Median Age Percent Owner-Occupied Housing Units Median Household Income Median Home Value Housing Affordability Index Share of Income to Mortgage

  11. u

    Average house prices in Ontario, Canada from 2018 to 2022, with a forecast...

    • data.urbandatacentre.ca
    Updated Mar 27, 2023
    + more versions
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    (2023). Average house prices in Ontario, Canada from 2018 to 2022, with a forecast until 2024 - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/average-house-prices-in-ontario-canada-from-2018-to-2022-with-a-forecast-until-2024
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    Dataset updated
    Mar 27, 2023
    Area covered
    Canada, Ontario
    Description

    The house price for Ontario is forecast to decrease by eight percent in 2023, followed by a minor increase of one percent in 2024. From roughly 932,000 Canadian dollars, the average house price in Canada's second most expensive province for housing is expected to fall to 861,000 Canadian dollars in 2024. After British Columbia, Ontario is Canada's most expensive province for housing. Ontario Ontario is the most populated province in Canada, located on the eastern-central side of the country. It is an English speaking province. To the south, it borders American states Minnesota, Michigan, Ohio, Pennsylvania, and New York. Its provincial capital and largest city is Toronto. It is also home to Canada’s national capital, Ottawa. Furthermore, a large part of Ontario’s economy comes from manufacturing, as it is the leading manufacturing province in Canada. The population of Ontario has been steadily increasing since 2000. The population in 2018 was an estimated 14.3 million people. The median total family income in 2016 came to 83,160 Canadian dollars. Ontario housing market The number of housing units sold in Ontario is projected to rise until 2024. Additionally, the average home prices in Ontario have significantly increased since 2007.

  12. F

    Consumer Price Index for All Urban Consumers: Lodging Away from Home in U.S....

    • fred.stlouisfed.org
    json
    Updated Jul 15, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Lodging Away from Home in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUSR0000SEHB
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    jsonAvailable download formats
    Dataset updated
    Jul 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Lodging Away from Home in U.S. City Average (CUSR0000SEHB) from Dec 1997 to Jun 2025 about lodging, urban, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

  13. Residential construction costs in the U.S. Q1 2025, by city

    • statista.com
    Updated Jul 22, 2025
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    Statista (2025). Residential construction costs in the U.S. Q1 2025, by city [Dataset]. https://www.statista.com/statistics/830432/construction-costs-of-residential-buildings-in-us-cities/
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    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the first quarter of 2025, San Francisco, Chicago, New York, and Honolulu were some of the U.S. cities with the highest housing construction costs. Meanwhile, Phoenix had one of the lowest construction costs for high-end multifamily homes at *** U.S. dollars per square foot and Las Vegas for single-family homes between *** and *** U.S. dollars per square foot. Construction cost disparities As seen here, the construction cost for a high-end multi-family home in San Francisco in the first quarter of 2024 was over ***** more expensive than in Phoenix. Meanwhile, there were also great differences in the cost of building a single-family house in New York and in Portland or Seattle. Some factors that may cause these disparities are the construction materials, installation, and composite costs, differing land values, wages, etc. For example, although the price of construction materials in the U.S. was rising at a slower level than in 2022 and 2023, several materials that are essential in most construction projects had growth rates of over **** percent in 2024. Growing industry revenue Despite the economic uncertainty and other challenges, the size of the private construction market in the U.S. rose during the past years. It is important to consider that supply and demand for housing influences the revenue of this segment of the construction market. On the supply side, single-family home construction fell in 2023, but it is expected to rise in 2024 and 2025. On the demand side, some of the U.S. metropolitan areas with the highest sale prices of single-family homes were located in California, with San Jose-Sunnyvale-Santa Clara at the top of the ranking.

  14. Location Affordability Index v.3

    • hudgis-hud.opendata.arcgis.com
    • data.lojic.org
    • +2more
    Updated Jan 24, 2025
    + more versions
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    Department of Housing and Urban Development (2025). Location Affordability Index v.3 [Dataset]. https://hudgis-hud.opendata.arcgis.com/datasets/location-affordability-index-v-3
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    First launched by the U.S. Department of Housing and Urban Development (HUD) and Department of Transportation (DOT) in November 2013, the Location Affordability Index (LAI) provides ubiquitous, standardized household housing and transportation cost estimates for all 50 states and the District of Columbia. Because what is affordable is different for everyone, users can choose among eight household profiles—which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.

    Version 3 updates the constituent data sets with 2012-2016 American Community Survey data and makes several methodological tweaks, most notably moving to modeling at the Census tract level rather at the block group. As with Version 2, the inputs to the simultaneous equation model (SEM) include six endogenous variables—housing costs, car ownership, and transit usage for both owners and renters—and 18 exogenous variables, with vehicle miles traveled still modeled separately due to data limitations.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 2012-2016 Data Dictionary: DD_Location Affordability Indev v.3.0LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation

  15. Real Estate Market Analysis APAC, North America, Europe, South America,...

    • technavio.com
    Updated Feb 24, 2025
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    Technavio (2025). Real Estate Market Analysis APAC, North America, Europe, South America, Middle East and Africa - US, China, Japan, India, South Korea, Australia, Canada, UK, Germany, Brazil - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/real-estate-market-analysis
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    Dataset updated
    Feb 24, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Germany, Japan, United Kingdom, Brazil, South Korea, Canada, United States, Global
    Description

    Snapshot img

    Real Estate Market Size 2025-2029

    The real estate market size is forecast to increase by USD 1,258.6 billion at a CAGR of 5.6% between 2024 and 2029.

    The market is experiencing significant shifts and innovations, with both residential and commercial sectors adapting to new trends and challenges. In the commercial realm, e-commerce growth is driving the demand for logistics and distribution centers, while virtual reality technology is revolutionizing property viewings. Europe's commercial real estate sector is witnessing a rise in smart city development, incorporating LED lighting and data centers to enhance sustainability and efficiency. In the residential sector, wellness real estate is gaining popularity, focusing on health and well-being. Real estate software and advertising services are essential tools for asset management, streamlining operations, and reaching potential buyers. Regulatory uncertainty remains a challenge, but innovation in construction technologies, such as generators and renewable energy solutions, is helping mitigate risks.
    

    What will be the Size of the Real Estate Market During the Forecast Period?

    Request Free Sample

    The market continues to exhibit strong activity, driven by rising population growth and increasing demand for personal household space. Both residential and commercial sectors have experienced a rebound in home sales and leasing activity. The trend towards live-streaming rooms and remote work has further fueled demand for housing and commercial real estate. Economic conditions and local market dynamics influence the direction of the market, with interest rates playing a significant role in investment decisions. Fully furnished, semi-furnished, and unfurnished properties, as well as rental properties, remain popular options for buyers and tenants. Offline transactions continue to dominate, but online transactions are gaining traction.
    The market encompasses a diverse range of assets, including land, improvements, buildings, fixtures, roads, structures, utility systems, and undeveloped property. Vacant land and undeveloped property present opportunities for investors, while the construction and development of new housing and commercial projects contribute to the market's overall growth.
    

    How is this Real Estate Industry segmented and which is the largest segment?

    The 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.

    Type
    
      Residential
      Commercial
      Industrial
    
    
    Business Segment
    
      Rental
      Sales
    
    
    Manufacturing Type
    
      New construction
      Renovation and redevelopment
      Land development
    
    
    Geography
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
    
    
      South America
    
        Brazil
    
    
      Middle East and Africa
    

    By Type Insights

    The residential segment is estimated to witness significant growth during the forecast period.
    

    The market encompasses the buying and selling of properties designed for dwelling purposes, including buildings, single-family homes, apartments, townhouses, and more. Factors fueling growth in this sector include the increasing homeownership rate among millennials and urbanization trends. The Asia Pacific region, specifically China, dominates the market due to escalating homeownership rates. In India, the demand for affordable housing is a major driver, with initiatives like Pradhan Mantri Awas Yojana (PMAY) spurring the development of affordable housing projects catering to the needs of lower and middle-income groups. The commercial real estate segment, consisting of office buildings, shopping malls, hotels, and other commercial properties, is also experiencing growth.

    Furthermore, economic and local market conditions, interest rates, and investment opportunities in fully furnished, semi-furnished, unfurnished properties, and rental properties influence the market dynamics. Technological integration, infrastructure development, and construction projects further shape the real estate landscape. Key sectors like transportation, logistics, agriculture, and the e-commerce sector also impact the market.

    Get a glance at the market report of share of various segments Request Free Sample

    The Residential segment was valued at USD 1440.30 billion in 2019 and showed a gradual increase during the forecast period.

    Regional Analysis

    APAC is estimated to contribute 64% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions, Request Free Sample

    The Asia Pacific region holds the largest share of The market, dr

  16. Highest median prices of residential real estate in the U.S. 2023, by zip...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Highest median prices of residential real estate in the U.S. 2023, by zip code [Dataset]. https://www.statista.com/statistics/1279222/median-price-of-residential-properties-us-by-zip-code/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Oct 2023
    Area covered
    United States
    Description

    The median house price in *****, Atherton, California, was about *** million U.S. dollars. This made it the most expensive zip code in the United States in 2023. ***** Sagaponack, N.Y., was the runner-up with a median house price of about *** million U.S. dollars. Of the ** most expensive zip codes in the United States in 2026, six were in California.

  17. House-price-to-income ratio in selected countries worldwide 2024

    • statista.com
    Updated May 6, 2025
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    Statista (2025). House-price-to-income ratio in selected countries worldwide 2024 [Dataset]. https://www.statista.com/statistics/237529/price-to-income-ratio-of-housing-worldwide/
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

  18. Luxury real estate price change worldwide 2024, by city

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Luxury real estate price change worldwide 2024, by city [Dataset]. https://www.statista.com/statistics/322413/luxury-real-estate-price-change-cities/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In Seoul, luxury home prices surged by over **** percent between December 2023 and December 2024, making it the fastest growing luxury real estate market worldwide. In the United States, Orange County was the market where prices rose the most during that period. Manila was the Asia-Pacific (APAC) city that experienced the most price growth in the luxury market, amounting to **** percent.

  19. Median luxury home prices in selected markets in the U.S. 2024

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Median luxury home prices in selected markets in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1234877/most-expensive-metros-for-luxury-housing-usa/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, San Francisco, was the most expensive metro area for buying a luxury property. The median sale price of the single family homes in the top five percent of the market by market price was *** million U.S. dollars. In Detroit, on the other hand, the median sales price of a luxury housing unit was approximately ******* U.S. dollars.

  20. Most affordable cities to rent an apartment in the U.S. 2024, by apartment...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Most affordable cities to rent an apartment in the U.S. 2024, by apartment size [Dataset]. https://www.statista.com/statistics/1267262/apartment-size-most-affordable-cities-usa/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    Among the largest cities in the United States, renting an apartment was most affordable in Wichita, KS, in 2024. On average, renters in Wichita could rent an ***** square foot apartment for ***** U.S. dollars. The average apartment rent varies widely across different metros and states, with Hawaii, California, and Washington D.C. fetching the most expensive rents.

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Statista (2025). Median sales price of luxury single family homes in selected markets in the U.S. 2025 [Dataset]. https://www.statista.com/statistics/1235073/most-expensive-markets-for-luxury-single-family-homes-in-the-usa/
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Median sales price of luxury single family homes in selected markets in the U.S. 2025

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Dataset updated
Jul 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Feb 2025
Area covered
United States
Description

Telluride, CO, was the most expensive market for luxury single-family home market in the United States in 2025. In February that year, the median sales price of a single-family home in Telluride was *** million U.S. dollars. Ft. Lauderdale, FL, and Park City, UT were other locations that fetched prices over **** million U.S. dollars.

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