24 datasets found
  1. Number of existing homes sold in the U.S. 1995-2024, with a forecast until...

    • statista.com
    Updated Apr 28, 2025
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    Statista (2025). Number of existing homes sold in the U.S. 1995-2024, with a forecast until 2026 [Dataset]. https://www.statista.com/statistics/226144/us-existing-home-sales/
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    Dataset updated
    Apr 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of U.S. home sales in the United States declined in 2024, after soaring in 2021. A total of four million transactions of existing homes, including single-family, condo, and co-ops, were completed in 2024, down from 6.12 million in 2021. According to the forecast, the housing market is forecast to head for recovery in 2025, despite transaction volumes expected to remain below the long-term average. Why have home sales declined? The housing boom during the coronavirus pandemic has demonstrated that being a homeowner is still an integral part of the American dream. Nevertheless, sentiment declined in the second half of 2022 and Americans across all generations agreed that the time was not right to buy a home. A combination of factors has led to house prices rocketing and making homeownership unaffordable for the average buyer. A survey among owners and renters found that the high home prices and unfavorable economic conditions were the two main barriers to making a home purchase. People who would like to purchase their own home need to save up a deposit, have a good credit score, and a steady and sufficient income to be approved for a mortgage. In 2022, mortgage rates experienced the most aggressive increase in history, making the total cost of homeownership substantially higher. Are U.S. home prices expected to fall? The median sales price of existing homes stood at 413,000 U.S. dollars in 2024 and was forecast to increase slightly until 2026. The development of the S&P/Case Shiller U.S. National Home Price Index shows that home prices experienced seven consecutive months of decline between June 2022 and January 2023, but this trend reversed in the following months. Despite mild fluctuations throughout the year, home prices in many metros are forecast to continue to grow, albeit at a much slower rate.

  2. T

    Vital Signs: Home Prices - Bay Area (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Oct 26, 2022
    + more versions
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    (2022). Vital Signs: Home Prices - Bay Area (2022) [Dataset]. https://data.bayareametro.gov/Economy/Vital-Signs-Home-Prices-Bay-Area-2022-/2uf4-6aym
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    application/rdfxml, csv, xml, application/rssxml, json, tsvAvailable download formats
    Dataset updated
    Oct 26, 2022
    Area covered
    San Francisco Bay Area
    Description

    VITAL SIGNS INDICATOR
    Home Prices (EC7)

    FULL MEASURE NAME
    Home Prices

    LAST UPDATED
    December 2022

    DESCRIPTION
    Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE
    Zillow: Zillow Home Value Index (ZHVI) - http://www.zillow.com/research/data/
    2000-2021

    California Department of Finance: E-4 Historical Population Estimates for Cities, Counties, and the State - https://dof.ca.gov/forecasting/demographics/estimates/
    2000-2021

    US Census Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
    2000-2021

    Bureau of Labor Statistics: Consumer Price Index - http://data.bls.gov
    2000-2021

    US Census ZIP Code Tabulation Areas (ZCTAs) - https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html
    2020 Census Blocks

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Housing price estimates at the regional-, county-, city- and zip code-level come from analysis of individual home sales by Zillow based upon transaction records. Zillow Home Value Index (ZHVI) is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. ZHVI is computed from public record transaction data as reported by counties. All standard real estate transactions are included in this metric, including REO sales and auctions. Zillow makes a substantial effort to remove transactions not typically considered a standard sale. Examples of these include bank takeovers of foreclosed properties, title transfers after a death or divorce and non arms-length transactions. Zillow defines all homes as single-family residential, condominium and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that can be owned in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums in that the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Data is adjusted for inflation using Bureau of Labor Statistics metropolitan statistical area (MSA)-specific series. Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of the CPI itself.

  3. FMHPI house price index change 1990-2024

    • statista.com
    Updated May 27, 2025
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    Statista (2025). FMHPI house price index change 1990-2024 [Dataset]. https://www.statista.com/statistics/275159/freddie-mac-house-price-index-from-2009/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. housing market has slowed, after ** consecutive years of rising home prices. In 2021, house prices surged by an unprecedented ** percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by *** percent. That was lower than the long-term average of *** percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of **** percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over ******* U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

  4. Vital Signs: Home Prices – by zip code

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Aug 21, 2019
    + more versions
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    Zillow (2019). Vital Signs: Home Prices – by zip code [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Home-Prices-by-zip-code/8xer-7dm5
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    application/rssxml, csv, tsv, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Aug 21, 2019
    Dataset authored and provided by
    Zillowhttp://zillow.com/
    Description

    VITAL SIGNS INDICATOR Home Prices (EC7)

    FULL MEASURE NAME Home Prices

    LAST UPDATED August 2019

    DESCRIPTION Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE Zillow Median Sale Price (1997-2018) http://www.zillow.com/research/data/

    Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1997-2018; specific to each metro area) http://data.bls.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Median housing price estimates for the region, counties, cities, and zip code come from analysis of individual home sales by Zillow. The median sale price is the price separating the higher half of the sales from the lower half. In other words, 50 percent of home sales are below or above the median value. Zillow defines all homes as single-family residential, condominium, and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that you own in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums where the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Home sales prices are not reliably available for Houston, because Texas is a non-disclosure state. For more information on non-disclosure states, see: http://www.zillow.com/blog/chronicles-of-data-collection-ii-non-disclosure-states-3783/

    Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

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

    • technavio.com
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    Technavio, 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 provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Japan, United Kingdom, Brazil, Mexico, Australia, Germany, Europe, Canada, South Korea, 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

  6. T

    Vital Signs: Home Prices by Metro Area (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Dec 2, 2022
    + more versions
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    (2022). Vital Signs: Home Prices by Metro Area (2022) [Dataset]. https://data.bayareametro.gov/Economy/Vital-Signs-Home-Prices-by-Metro-Area-2022-/rgc5-3kcq
    Explore at:
    application/rdfxml, csv, json, application/rssxml, tsv, xmlAvailable download formats
    Dataset updated
    Dec 2, 2022
    Description

    VITAL SIGNS INDICATOR
    Home Prices (EC7)

    FULL MEASURE NAME
    Home Prices

    LAST UPDATED
    December 2022

    DESCRIPTION
    Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE
    Zillow: Zillow Home Value Index (ZHVI) - http://www.zillow.com/research/data/
    2000-2021

    California Department of Finance: E-4 Historical Population Estimates for Cities, Counties, and the State - https://dof.ca.gov/forecasting/demographics/estimates/
    2000-2021

    US Census Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
    2000-2021

    Bureau of Labor Statistics: Consumer Price Index - http://data.bls.gov
    2000-2021

    US Census ZIP Code Tabulation Areas (ZCTAs) - https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html
    2020 Census Blocks

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Housing price estimates at the regional-, county-, city- and zip code-level come from analysis of individual home sales by Zillow based upon transaction records. Zillow Home Value Index (ZHVI) is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. ZHVI is computed from public record transaction data as reported by counties. All standard real estate transactions are included in this metric, including REO sales and auctions. Zillow makes a substantial effort to remove transactions not typically considered a standard sale. Examples of these include bank takeovers of foreclosed properties, title transfers after a death or divorce and non arms-length transactions. Zillow defines all homes as single-family residential, condominium and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that can be owned in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums in that the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Data is adjusted for inflation using Bureau of Labor Statistics metropolitan statistical area (MSA)-specific series. Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of the CPI itself.

  7. Average price for properties for sale in Milan, Italy 2024, by area

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Average price for properties for sale in Milan, Italy 2024, by area [Dataset]. https://www.statista.com/statistics/673039/average-price-for-properties-for-sale-in-milan-italy/
    Explore at:
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2024
    Area covered
    Italy
    Description

    In 2024, Milan boasted some of the most expensive residential real estate properties in the country. A ranking of the priciest districts of the city for residential properties showed that home buyers could expect to pay on average close to 10,780 euros per square meter in the district Centro (historical city center). In Milan, renting a dwelling also comes at a cost. The rental price in the same area amounted to nearly 31 euros per square meter in 2024. Milan, an attractive destination Milan is one of the most dynamic Italian cities. In recent years, the city was able to create jobs and expand investments in many sectors, attracting capital and talent both from Italy and from foreign countries. This growth was reflected also in the real estate market, which has proved to be the most dynamic in the country in recent years. Transactions in residential real estate in Milan increased steadily since 2012. Moreover, Milan was one of the most popular cities in Italy for residential property purchase as an investment. More tourists after Expo 2015 Hosting the Expo 2015 was a brave bet for the city. Thanks to public and private investments, Milan could carry out much-needed projects in terms of infrastructure and regeneration of some central areas of the city. In this sense, Expo 2015 also allowed the city to place itself on the map of the most popular tourist destinations in Europe and left a positive effect on the city’s tourism fluxes. International visitors have increased steadily since it was announced that the city would be the host of the global event, and continued to do so also in the years following the Expo.

  8. F

    All-Transactions House Price Index for San Diego-Chula Vista-Carlsbad, CA...

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for San Diego-Chula Vista-Carlsbad, CA (MSA) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS41740Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

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

    Area covered
    Chula Vista, Carlsbad, California
    Description

    Graph and download economic data for All-Transactions House Price Index for San Diego-Chula Vista-Carlsbad, CA (MSA) (ATNHPIUS41740Q) from Q4 1975 to Q1 2025 about San Diego, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

  9. F

    All-Transactions House Price Index for Florida

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for Florida [Dataset]. https://fred.stlouisfed.org/series/FLSTHPI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

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

    Area covered
    Florida
    Description

    Graph and download economic data for All-Transactions House Price Index for Florida (FLSTHPI) from Q1 1975 to Q1 2025 about appraisers, FL, HPI, housing, price index, indexes, price, and USA.

  10. m

    Canada Residential Real Estate Market Size | Industry Analysis & Forecast...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 25, 2025
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    Mordor Intelligence (2025). Canada Residential Real Estate Market Size | Industry Analysis & Forecast Report [Dataset]. https://www.mordorintelligence.com/industry-reports/residential-real-estate-market-in-canada
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Canada
    Description

    The Canada Residential Real Estate Market is Segmented by Property Type (Apartments & Condominiums and Villas & Landed Houses), Price Band (Affordable, Mid-Market and Luxury), Mode of Sale (Primary and Secondary), Business Model (Sales and Rental) and Region/Province (Ontario, Quebec, British Columbia, Alberta and Rest of Canada). The Market Forecasts are Provided in Terms of Value (USD).

  11. C

    Cat Condos & Indoor Houses Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 20, 2025
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    Data Insights Market (2025). Cat Condos & Indoor Houses Report [Dataset]. https://www.datainsightsmarket.com/reports/cat-condos-indoor-houses-1322179
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 20, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for cat condos and indoor houses is experiencing robust growth, driven by increasing pet ownership, particularly in urban areas where space is limited. Owners are increasingly seeking stylish and functional furniture solutions that cater to their cats' natural instincts for climbing, hiding, and observing their surroundings. The market is segmented by application (online sales and offline retail) and material (wood, plastic, and other). Online sales are a rapidly expanding segment, benefiting from the convenience and wide selection offered by e-commerce platforms. The preference for specific materials varies depending on factors such as price point, durability, and aesthetic appeal. Wood cat condos often command higher prices due to their perceived quality and aesthetic value, while plastic options provide more budget-friendly alternatives. Key players in this market, such as Idle Cat, Wayfair, and PetCoach, are leveraging both online and offline channels to reach a broader consumer base. Future growth will be influenced by innovative product design incorporating features like scratching posts, interactive toys, and improved comfort. The market is expected to see sustained growth, driven by the increasing humanization of pets and the willingness of owners to invest in their well-being. Regional differences in market size reflect variations in pet ownership rates, disposable income, and cultural attitudes toward pets. North America and Europe are currently leading markets, but significant opportunities exist in Asia-Pacific regions as pet ownership continues to grow. Competition is expected to remain intense, with established players and new entrants continuously innovating to meet evolving consumer preferences. The forecast period of 2025-2033 suggests continued expansion, likely exceeding the historical CAGR (Compound Annual Growth Rate) due to factors such as increasing urbanization leading to smaller living spaces, growing consumer awareness of cat enrichment, and the ongoing popularity of pet-friendly home designs. The market's success will hinge on companies' ability to develop innovative and aesthetically pleasing products that seamlessly integrate into modern homes. Furthermore, successful marketing strategies targeting specific demographic segments and leveraging the power of social media and influencer marketing will be key to capturing market share. The various material types and applications will continue to shape the competitive landscape, offering diverse options to cater to a range of consumer needs and budgets.

  12. T

    Germany House Price Index

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Germany House Price Index [Dataset]. https://tradingeconomics.com/germany/housing-index
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Aug 31, 2005 - Jun 30, 2025
    Area covered
    Germany
    Description

    Housing Index in Germany decreased to 218.19 points in June from 218.58 points in May of 2025. This dataset provides the latest reported value for - Germany House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  13. F

    All-Transactions House Price Index for New Jersey

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
    + more versions
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    (2025). All-Transactions House Price Index for New Jersey [Dataset]. https://fred.stlouisfed.org/series/NJSTHPI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

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

    Area covered
    New Jersey
    Description

    Graph and download economic data for All-Transactions House Price Index for New Jersey (NJSTHPI) from Q1 1975 to Q1 2025 about NJ, appraisers, HPI, housing, price index, indexes, price, and USA.

  14. F

    All-Transactions House Price Index for Miami-Miami Beach-Kendall, FL (MSAD)

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for Miami-Miami Beach-Kendall, FL (MSAD) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS33124Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

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

    Area covered
    Miami Beach, Miami, Kendall, Florida
    Description

    Graph and download economic data for All-Transactions House Price Index for Miami-Miami Beach-Kendall, FL (MSAD) (ATNHPIUS33124Q) from Q4 1975 to Q1 2025 about Miami, appraisers, FL, HPI, housing, price index, indexes, price, and USA.

  15. Singapore Real Estate Market Analysis, Size, and Forecast 2025-2029

    • technavio.com
    Updated May 15, 2025
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    Technavio (2025). Singapore Real Estate Market Analysis, Size, and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/real-estate-market-industry-analysis
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    Dataset updated
    May 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    APAC, Singapore
    Description

    Snapshot img

    Singapore Real Estate Market Size 2025-2029

    The singapore real estate market size is forecast to increase by USD 62.6 billion at a CAGR of 4.6% between 2024 and 2029.

    The market is witnessing significant growth, driven primarily by the burgeoning demand for industrial infrastructure. This trend is fueled by the country's status as a global business hub, attracting numerous multinational corporations seeking to establish a presence. Concurrently, marketing initiatives in the real estate industry are gaining momentum, with developers increasingly adopting innovative strategies to differentiate their offerings and cater to diverse customer segments. However, this market landscape is not without challenges. Regulatory uncertainty looms large, with ongoing debates surrounding potential changes to property cooling measures and land use regulations. These uncertainties could deter investors and developers, potentially hindering market growth. As such, navigating the complex regulatory environment and staying abreast of policy developments will be crucial for companies looking to capitalize on opportunities and mitigate risks in the Singapore Real Estate market.

    What will be the size of the Singapore 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

    The Singapore real estate market exhibits dynamic activity in various sectors. The sub-sale market experiences continuous fluctuations, influenced by property valuation models and market forecasting. Property law plays a crucial role in real estate financing and collective sales, including en bloc and strata title transactions. Property investment funds and real estate syndication provide financing options for freehold and leasehold properties. Real estate litigation arises from property disputes, necessitating ethical conduct in property management services. Proptech adoption streamlines property search engines and portfolio management, while property tax incentives stimulate investment. Rental management services and property insurance mitigate risks in the diverse real estate landscape. Property market trends encompass master plans, property crowdfunding, and real estate marketing strategies.

    How is this market segmented?

    The market 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. AreaResidentialCommercialIndustrialMode Of BookingSalesRental and leaseTypeLanded houses and villasOffice spaceApartments and condominiumsStore spaceOthersPriceMid-tierEntry-levelLuxuryGeographyAPACSingapore

    By Area Insights

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

    The Singapore real estate market encompasses various sectors, including residential, commercial, and industrial properties. The residential segment, comprised of apartments, condominiums, single-family homes, and other living arrangements, experiences significant demand due to population growth and the country's robust economy. Urban renewal projects and sustainable development initiatives contribute to the transformation of the property market. Commercial real estate, including office buildings and retail spaces, benefit from the thriving economy and increasing business activities. Property management companies employ technology, such as virtual and augmented reality, to enhance the property buying and selling experience. Real estate investment trusts and funds provide opportunities for investors seeking capital appreciation and rental income. Property prices have been on an upward trend due to high demand and limited supply, with vacancy rates remaining relatively low. Property taxes, stamp duty, and government policies influence the market dynamics. Urban planning and infrastructure development are essential for economic growth and smart city initiatives. Real estate developers and proptech startups leverage technology, including artificial intelligence and big data, to streamline property transactions and enhance property management. The rental market, property valuation, and property development are shaped by various factors, including rental yield, housing affordability, and market sentiment. Land use planning and regulations play a crucial role in shaping the real estate landscape. Capital appreciation and rental income continue to attract investors to the market, with mortgage rates influencing affordability. Smart home technologies and green building standards add value to both residential and commercial properties.

    Request Free Sample

    The Residential segment was valued at USD 100.30 billion in 2019 and showed a gradual increa

  16. m

    Vietnam Residential Real Estate Market Size, Analysis & Share Report 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 26, 2025
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    Mordor Intelligence (2025). Vietnam Residential Real Estate Market Size, Analysis & Share Report 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/residential-real-estate-market-in-vietnam
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Vietnam
    Description

    The Vietnam Residential Real Estate Market is Segmented by Property Type (Apartments and Condominiums, and Villas and Landed Houses), by Price Band (Affordable, Mid-Market and Luxury), by Business Model (Sales and Rental), by Mode of Sale (Primary and Secondary), and by Key Cities and Provinces (Ho Chi Minh City, Hanoi, Danang, Hai Phong and More). The Market Forecasts are Provided in Terms of Value (USD)

  17. m

    Residential Real Estate Market Size, Share, Growth & Industry Trends Report,...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 26, 2025
    Share
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    Mordor Intelligence (2025). Residential Real Estate Market Size, Share, Growth & Industry Trends Report, 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/residential-real-estate-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    Residential Real Estate Market is Segmented by Property Type (Apartments & Condominiums, and Landed Houses & Villas), by Price Band (Affordable, Mid-Market, and Luxury/Super-prime), by Business Model (Sales and Rental), by Mode of Sale (Primary and Secondary), and by Region (North America, South America, Europe, Asia-Pacific, and Middle East & Africa). The Market Forecasts are Provided in Terms of Value (USD).

  18. l

    San Diego Real Estate Migration Trends

    • luxurysocalrealty.com
    Updated Jul 17, 2025
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    (2025). San Diego Real Estate Migration Trends [Dataset]. https://www.luxurysocalrealty.com/blog/san-diego-real-estate-market/
    Explore at:
    Dataset updated
    Jul 17, 2025
    Area covered
    CA, San Diego County, San Diego
    Variables measured
    Inbound Buyer Percentage, Local Home Buyer Percentage, Relocating Buyer Percentage
    Description

    Statistical analysis of home buyer migration patterns in San Diego County

  19. F

    Residential Property Prices for Japan

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
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    (2025). Residential Property Prices for Japan [Dataset]. https://fred.stlouisfed.org/series/QJPN628BIS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

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

    Description

    Graph and download economic data for Residential Property Prices for Japan (QJPN628BIS) from Q1 1955 to Q4 2024 about Japan, residential, HPI, housing, price index, indexes, and price.

  20. T

    Malaysia House Price Index

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Malaysia House Price Index [Dataset]. https://tradingeconomics.com/malaysia/housing-index
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 31, 2009 - Dec 31, 2024
    Area covered
    Malaysia
    Description

    Housing Index in Malaysia decreased to 224.20 Index in the fourth quarter of 2024 from 228.30 Index in the third quarter of 2024. This dataset provides - Malaysia House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Statista (2025). Number of existing homes sold in the U.S. 1995-2024, with a forecast until 2026 [Dataset]. https://www.statista.com/statistics/226144/us-existing-home-sales/
Organization logo

Number of existing homes sold in the U.S. 1995-2024, with a forecast until 2026

Explore at:
8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 28, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The number of U.S. home sales in the United States declined in 2024, after soaring in 2021. A total of four million transactions of existing homes, including single-family, condo, and co-ops, were completed in 2024, down from 6.12 million in 2021. According to the forecast, the housing market is forecast to head for recovery in 2025, despite transaction volumes expected to remain below the long-term average. Why have home sales declined? The housing boom during the coronavirus pandemic has demonstrated that being a homeowner is still an integral part of the American dream. Nevertheless, sentiment declined in the second half of 2022 and Americans across all generations agreed that the time was not right to buy a home. A combination of factors has led to house prices rocketing and making homeownership unaffordable for the average buyer. A survey among owners and renters found that the high home prices and unfavorable economic conditions were the two main barriers to making a home purchase. People who would like to purchase their own home need to save up a deposit, have a good credit score, and a steady and sufficient income to be approved for a mortgage. In 2022, mortgage rates experienced the most aggressive increase in history, making the total cost of homeownership substantially higher. Are U.S. home prices expected to fall? The median sales price of existing homes stood at 413,000 U.S. dollars in 2024 and was forecast to increase slightly until 2026. The development of the S&P/Case Shiller U.S. National Home Price Index shows that home prices experienced seven consecutive months of decline between June 2022 and January 2023, but this trend reversed in the following months. Despite mild fluctuations throughout the year, home prices in many metros are forecast to continue to grow, albeit at a much slower rate.

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