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

    • statista.com
    Updated Nov 19, 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
    Nov 19, 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. Median sale price of existing homes sold in the U.S. 1990-2024 with forecast...

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Median sale price of existing homes sold in the U.S. 1990-2024 with forecast for 2027 [Dataset]. https://www.statista.com/statistics/272776/median-price-of-existing-homes-in-the-united-states-from-2011/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. housing market continues to evolve, with the median price for existing homes forecast to fall to ******* U.S. dollars by 2027. This projection comes after a period of significant growth and recent fluctuations, reflecting the complex interplay of economic factors affecting the real estate sector. The rising costs have not only impacted home prices but also down payments, with the median down payment more than doubling since 2012. Regional variations in housing costs Home prices and down payments vary dramatically across the United States. While the national median down payment stood at approximately ****** U.S. dollars in early 2024, homebuyers in states like California, Massachusetts, and Hawaii faced down payments exceeding ****** U.S. dollars. This disparity highlights the challenges of homeownership in high-cost markets and underscores the importance of location in determining housing affordability. Market dynamics and future outlook The housing market has shown signs of cooling after years of rapid growth, with a modest price increase of *** percent in 2024. This slowdown can be attributed in part to rising mortgage rates, which have tempered demand. Despite these challenges, most states continued to see year-over-year price growth in 2025, with Rhode Island and West Virginia leading the packby home appreciation. As the market adjusts to new economic realities, potential homebuyers and investors alike will be watching closely for signs of stabilization or renewed growth in the coming years.

  3. F

    All-Transactions House Price Index for California

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
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    (2025). All-Transactions House Price Index for California [Dataset]. https://fred.stlouisfed.org/series/CASTHPI
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    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

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

    Area covered
    California
    Description

    Graph and download economic data for All-Transactions House Price Index for California (CASTHPI) from Q1 1975 to Q3 2025 about appraisers, CA, HPI, housing, price index, indexes, price, and USA.

  4. Median home price in California 2012-2023

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Median home price in California 2012-2023 [Dataset]. https://www.statista.com/statistics/219040/average-property-price-in-california/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States, California
    Description

    The median house price of residential real estate in California has increased notably since 2012. After a brief correction in property prices in 2022, the median price reached ******* U.S. dollars in December 2023.

  5. F

    Housing Inventory: Median Listing Price in California

    • fred.stlouisfed.org
    json
    Updated Oct 30, 2025
    + more versions
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    (2025). Housing Inventory: Median Listing Price in California [Dataset]. https://fred.stlouisfed.org/series/MEDLISPRICA
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    jsonAvailable download formats
    Dataset updated
    Oct 30, 2025
    License

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

    Area covered
    California
    Description

    Graph and download economic data for Housing Inventory: Median Listing Price in California (MEDLISPRICA) from Jul 2016 to Oct 2025 about CA, listing, median, price, and USA.

  6. US Real Estate Services Market Size, Share, Trends & Growth Analysis, 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jul 7, 2025
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    Mordor Intelligence (2025). US Real Estate Services Market Size, Share, Trends & Growth Analysis, 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/united-states-real-estate-services---growth-trends-and-forecast-2022---2027
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 7, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    United States
    Description

    The United States Real Estate Services Market Report is Segmented by Property Type (Residential, Commercial), by Service (Brokerage Services, Property Management Services, Valuation Services and More), by Client Type (Individuals/Households, Corporates & SMEs and More), and by States (Texas, California, Florida, New York, Illinois, Rest of US). The Market Forecasts are Provided in Terms of Value (USD).

  7. T

    All-Transactions House Price Index for California

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, All-Transactions House Price Index for California [Dataset]. https://tradingeconomics.com/united-states/house-price-index-for-california-index-1980-q1-100-q-nsa-fed-data.html
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    json, csv, xml, excelAvailable 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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    California
    Description

    All-Transactions House Price Index for California was 975.47000 Index 1980 Q1=100 in April of 2025, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for California reached a record high of 975.47000 in April of 2025 and a record low of 41.67000 in January of 1975. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for California - last updated from the United States Federal Reserve on November of 2025.

  8. US Commercial Real Estate Market Size & 2030 Report

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Nov 26, 2025
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    Mordor Intelligence (2025). US Commercial Real Estate Market Size & 2030 Report [Dataset]. https://www.mordorintelligence.com/industry-reports/commercial-real-estate-market-in-usa
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Nov 26, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    United States
    Description

    The US Commercial Real Estate Market Report is Segmented by Property Type (Offices, Retail, Logistics, Others), by Business Model (Sales, Rental), by End-User (Individuals/Households, Corporates & SMEs, Others), and by Geography (Texas, California, Florida, New York, Illinois, Rest of US). The Market Forecasts are Provided in Terms of Value (USD).

  9. F

    All-Transactions House Price Index for Los Angeles County, CA

    • fred.stlouisfed.org
    json
    Updated Mar 25, 2025
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    (2025). All-Transactions House Price Index for Los Angeles County, CA [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS06037A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 25, 2025
    License

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

    Area covered
    Los Angeles County, California
    Description

    Graph and download economic data for All-Transactions House Price Index for Los Angeles County, CA (ATNHPIUS06037A) from 1975 to 2024 about Los Angeles County, CA; Los Angeles; CA; HPI; housing; price index; indexes; price; and USA.

  10. Index of commercial property prices in the U.S. 2014-2025, by quarter

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Index of commercial property prices in the U.S. 2014-2025, by quarter [Dataset]. https://www.statista.com/statistics/936975/commercial-property-index-usa/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Commercial property prices in the U.S. plateaued in 2025 after declining in 2023. Between 2014 and 2021, commercial real estate prices nearly doubled, with the index reaching ***** index points. Following a slowdown in the market, the index declined, falling to ****** index points in the second quarter of 2025. Despite the correction, this indicated an increase of almost ** percent in prices since 2010, which was the baseline year for the index. How have prices of different property types developed over the past years? After more than a decade of uninterrupted growth, office real estate prices started to decline in 2022, reflecting a decline in occupier demand and a tougher lending environment. Industrial real estate prices, which have grown rapidly over the past few years, also experienced a correction in late 2022. Retail real estate prices displayed most resilience amid the difficult economic environment, with the equal-weighted repeat sales index remaining stable. How much is invested in new commercial properties? The value of commercial real estate construction has been on the rise since 2010 in the United States. This trend mirrors the recovery seen across all economic sectors after the 2007-2009 recession. However, investment volumes in commercial property vary by type, with private office space, warehouses, and retail leading the pack.

  11. F

    All-Transactions House Price Index for Orange County, CA

    • fred.stlouisfed.org
    json
    Updated Mar 25, 2025
    + more versions
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    (2025). All-Transactions House Price Index for Orange County, CA [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS06059A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 25, 2025
    License

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

    Area covered
    Orange County, California
    Description

    Graph and download economic data for All-Transactions House Price Index for Orange County, CA (ATNHPIUS06059A) from 1975 to 2024 about Orange County, CA; Los Angeles; CA; HPI; housing; price index; indexes; price; and USA.

  12. F

    All-Transactions House Price Index for San Francisco-San Mateo-Redwood City,...

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
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    (2025). All-Transactions House Price Index for San Francisco-San Mateo-Redwood City, CA (MSAD) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS41884Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

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

    Area covered
    Redwood City, San Francisco, California
    Description

    Graph and download economic data for All-Transactions House Price Index for San Francisco-San Mateo-Redwood City, CA (MSAD) (ATNHPIUS41884Q) from Q3 1975 to Q3 2025 about San Francisco, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

  13. F

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

    • fred.stlouisfed.org
    json
    Updated Aug 26, 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
    Aug 26, 2025
    License

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

    Area covered
    Carlsbad, Chula Vista, 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 Q2 2025 about San Diego, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

  14. Rent for small and medium apartments in the U.S. 2025, by state

    • statista.com
    Updated May 21, 2025
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    Statista Research Department (2025). Rent for small and medium apartments in the U.S. 2025, by state [Dataset]. https://www.statista.com/topics/4465/rental-market-in-the-us/
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    Dataset updated
    May 21, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    As of January 2025, the rent for a two-bedroom apartment in Hawaii was about 120 U.S. dollars higher than in California. The states of Hawaii and California ranked as the most expensive within the United States for apartment renters. Conversely, an apartment in Arkansas was almost three times more affordable than one in Hawaii.In 2025, the average monthly rent in the U.S. declined slightly. Nevertheless, in rents increased in most states, with West Virginia registering the highest growth.

  15. Los Angeles Airbnb Listings

    • kaggle.com
    Updated Oct 30, 2024
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    Oscar Batiz (2024). Los Angeles Airbnb Listings [Dataset]. https://www.kaggle.com/datasets/oscarbatiz/los-angeles-airbnb-listings
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 30, 2024
    Dataset provided by
    Kaggle
    Authors
    Oscar Batiz
    License

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

    Area covered
    Los Angeles
    Description

    Description

    This dataset provides extensive information about Airbnb properties listed in Los Angeles, California. It offers a wealth of details suitable for analyzing short-term rental trends, exploring traveler behavior, and studying pricing dynamics within one of the most vibrant tourism markets in the U.S.

    Dataset Context and Purpose

    As Airbnb continues to impact urban rental markets, this dataset allows analysts, researchers, and real estate professionals to investigate how the short-term rental market shapes the local economy and influences housing availability. Users can leverage this dataset to perform location-based analysis, identify seasonal occupancy trends, and explore the popularity of amenities and property types.

    Content

    id: Unique identifier assigned to each property listing.

    name: Property listing name as provided by the host.

    host_id:Unique identifier assigned to the host of the property.

    host_name:Name of the host associated with the property.

    host_since:Date on which the host joined Airbnb.

    host_response_time: Typical response time of the host to guest inquiries.

    host_response_rate:Percentage of guest inquiries that the host responded to.

    host_is_superhost: Indicates whether the host is a Superhost (True/False).

    neighbourhood_cleansed: Neighborhood name where the property is located.

    neighbourhood_group_cleansed: Standardized neighborhood group or district where the property is located.

    latitude: Geographic latitude coordinate.

    longitude: Geographic longitude coordinate.

    property_type: Type of property.

    room_type: Type of room offered (e.g., Entire home/apt, Private room, Shared room).

    accommodates: Maximum number of guests that the property can accommodate.

    bathrooms: Number of bathrooms in the property.

    bedrooms: Number of bedrooms in the property.

    beds: Number of beds in the property.

    price: Total price based on minimum nights required for booking.

    minimum_nights: Minimum number of nights required for a booking.

    availability_365:Number of days the property is available for booking in the next 365 days.

    number_of_reviews: Total number of reviews received for the property.

    review_scores_rating: Average rating score based on guest reviews (5 is maximum value).

    license: License, if applicable.

    instant_bookable: Indicates whether guests can book the property instantly (True/False).

    Inspiration

    • Host Insights: Analyze host behavior, response times, and Superhost status to understand their impact on guest satisfaction and property performance.
    • Property Characteristics: Identify popular property types, room types, and amenities, and how they correlate with pricing and occupancy rates.
    • Neighborhood Analysis: Explore neighborhood-level trends in pricing, occupancy, and guest reviews to identify popular areas and potential investment opportunities.
    • Pricing Strategies: Analyze factors influencing pricing, such as property type, location, amenities, and seasonality.

    Source

    This dataset is part of Inside Airbnb, Los Angeles California on September 04, 2024. Link found here

  16. c

    The global earthquake insurance market size will be USD 99518.2 million in...

    • cognitivemarketresearch.com
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    Cognitive Market Research, The global earthquake insurance market size will be USD 99518.2 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/earthquake-insurance-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Earthquake Insurance market size was USD 99518.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 6.50% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 39807.28 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.7% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 29855.46 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 22889.19 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.5% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 4975.91 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.9% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 1990.36 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.2% from 2024 to 2031.
    The life insurance category is the fastest growing segment of the Earthquake Insurance industry
    

    Market Dynamics of Earthquake Insurance Market

    Key Drivers for Earthquake Insurance Market

    Government Regulations and Incentives to Boost Market Growth
    

    The need for earthquake insurance is significantly increased by laws and regulations from the government. Recognizing the potential financial burden on public coffers following seismic occurrences, policymakers either mandate or promote earthquake insurance for property owners as a risk mitigation strategy. In order to increase community resilience generally, governments may also establish incentives to promote the usage of earthquake insurance. One well-known example of a government-backed initiative to promote earthquake insurance in a state vulnerable to seismic activity is the California Earthquake Authority (CEA). In a similar vein, to stabilize the livelihoods of persons affected by earthquakes, the government of Japan reinsures the earthquake insurance obligations guaranteed by private insurance companies. However, the total amount of reinsurance claims that the government pays out for a single earthquake, etc., must not exceed the cap that the Diet sets for each fiscal year.

    For instance, a maximum of 11.7713 trillion yen is possible. The maximum compensation for a single earthquake is 12 trillion yen when liability sharing for private insurance companies is included.

    Increased Insurance Policy Adoption Owing to Uncertain Future Events to Drive Market Growth
    

    Certain insurance plans will pay for clients' living expenses until their home is livable again if there is an earthquake on their property and the tragedy renders their home uninhabitable. Customers purchase earthquake insurance for more than simply practical purposes when they purchase it for a house or place of business in the state. They can take comfort in the knowledge that they won't have to worry about the property in the event of an unfortunate event. They will have financial resources to assist them in getting back on their feet even if the earthquake destroys all of their homes and possessions. Consequently, the increased use of it as a result of its value-added benefits is what's driving the growth of the market during the forecast period.

    Restraint Factor for the Earthquake Insurance Market

    Concerns About Perceived Affordability and Expenses Will Limit Market Growth
    

    Important barriers to the global earthquake insurance market include concerns about the total cost of earthquake insurance as well as the perception that it is affordable. Earthquake insurance can cost anything from $100 to $300 per year in most areas. However, in places like Washington, California, and Oregon that are prone to earthquakes, premiums might be higher. Homeowners in low-risk areas might spend as little as $300 a year, while those in high-risk areas might spend as much as $2,000 annually, according to Forbes Advisor. Owners of real estate in places with low seismic activity may contest the value of earthquake insurance. For instance, homeowners in an area where earthquakes have traditionally occurred infrequently might think of the possibility of a major seismic event.

    Impact of Covid-19 o...

  17. Average rent per square foot paid for industrial space U.S. 2017-2024, by...

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Average rent per square foot paid for industrial space U.S. 2017-2024, by type [Dataset]. https://www.statista.com/statistics/626555/average-rent-per-square-foot-paid-for-industrial-space-usa-by-type/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Rents for industrial real estate in the U.S. have increased since 2017, with flexible/service space reaching the highest price per square foot in 2024. In just a year, the cost of, flex/service space rose by nearly *****U.S. dollars per square foot. Manufacturing facilities, warehouses, and distribution centers had lower rents and experienced milder growth. Los Angeles, Orange County, and Inland Empire, California, are some of the most expensive markets in the country. Office real estate is pricier Industrial real estate is far from being the most expensive commercial property type. For instance, average rental rates in major U.S. metros for office space are much higher than those for industrial space. This is most likely because office units are generally located in urban areas where there is limited space and thus higher demand, whereas industrial units are more suited to the outskirts of such urban areas. Industrial units, such as warehouses or factories, require much more space because they need to house large, heavy equipment or serve as a storage unit for future shipments. Big-box distribution space is gaining in importance Warehouses and distribution may currently command the lowest average rent per square foot among industrial space types, but the growing popularity of the asset class has earned it considerable gains over the past years. In 2021 and 2022, high occupier demand and insufficient supply led to soaring taking rent of big-box buildings. During that time, the vacancy rate of distribution centers fell below ****percent. The development of industrial and logistics facilities has accelerated since then, with the new supply coming to market, causing the vacancy rate to increase and the pressures on rent to ease.

  18. F

    S&P CoreLogic Case-Shiller CA-San Francisco Home Price Index

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
    + more versions
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    (2025). S&P CoreLogic Case-Shiller CA-San Francisco Home Price Index [Dataset]. https://fred.stlouisfed.org/series/SFXRSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    San Francisco
    Description

    Graph and download economic data for S&P CoreLogic Case-Shiller CA-San Francisco Home Price Index (SFXRSA) from Jan 1987 to Sep 2025 about San Francisco, CA, HPI, housing, price index, indexes, price, and USA.

  19. F

    All-Transactions House Price Index for San Jose-Sunnyvale-Santa Clara, CA...

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
    + more versions
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    (2025). All-Transactions House Price Index for San Jose-Sunnyvale-Santa Clara, CA (MSA) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS41940Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

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

    Area covered
    Sunnyvale, San Jose, California
    Description

    Graph and download economic data for All-Transactions House Price Index for San Jose-Sunnyvale-Santa Clara, CA (MSA) (ATNHPIUS41940Q) from Q3 1975 to Q3 2025 about San Jose, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

  20. F

    All-Transactions House Price Index for Sacramento-Roseville-Folsom, CA (MSA)...

    • fred.stlouisfed.org
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    Updated Nov 25, 2025
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    (2025). All-Transactions House Price Index for Sacramento-Roseville-Folsom, CA (MSA) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS40900Q
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    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

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

    Area covered
    Sacramento Metropolitan Area, Folsom, California
    Description

    Graph and download economic data for All-Transactions House Price Index for Sacramento-Roseville-Folsom, CA (MSA) (ATNHPIUS40900Q) from Q2 1976 to Q3 2025 about Sacramento, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

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

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10 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 19, 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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