31 datasets found
  1. 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.

  2. h

    Los Angeles, CA Housing Market - Price Trend Analysis

    • houzeo.com
    html
    Updated Apr 7, 2025
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    Houzeo (2025). Los Angeles, CA Housing Market - Price Trend Analysis [Dataset]. https://www.houzeo.com/housing-market/california/los-angeles
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Apr 7, 2025
    Dataset authored and provided by
    Houzeo
    License

    https://www.houzeo.com/terms-of-use/https://www.houzeo.com/terms-of-use/

    Time period covered
    Apr 2020 - Apr 2025
    Area covered
    Los Angeles
    Variables measured
    Months of Supply, Median Sale Price, Sale-to-List Ratio, Number of Homes Sold, Median Days on Market, Homes with Price Drops, Number of Homes for Sale, Homes Sold Above List Price, Number of Newly Listed Homes
    Measurement technique
    Median of closed sale prices from the database
    Description

    A comprehensive latest dataset of Los Angeles, California’S housing market. This dataset includes key metrics such as median sale price, number of homes sold, and inventory levels, updated monthly.

  3. F

    S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index

    • fred.stlouisfed.org
    json
    Updated Aug 26, 2025
    + more versions
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    (2025). S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index [Dataset]. https://fred.stlouisfed.org/series/LXXRSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 26, 2025
    License

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

    Area covered
    Los Angeles, California
    Description

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

  4. U.S. housing: Case Shiller Los Angeles Home Price Index 2017-2024

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). U.S. housing: Case Shiller Los Angeles Home Price Index 2017-2024 [Dataset]. https://www.statista.com/statistics/666546/case-shiller-los-angeles-home-price-index/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2017 - Aug 2024
    Area covered
    United States
    Description

    The S&P Case Shiller Los Angeles Home Price Index measures changes in the prices of existing single-family homes in Los Angeles. The index value was equal to 100 as of January 2000, so if the index value is equal to *** in a given month, for example, it means that the house prices have increased by ** percent since 2000. The value of the S&P Case Shiller Los Angeles Home Price Index amounted to approximately ****** in August 2024. That was significantly higher than the national average.

  5. U.S. Housing Prices: Regional Trends (2000 - 2023)

    • kaggle.com
    Updated Dec 6, 2024
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    Praveen Chandran (2024). U.S. Housing Prices: Regional Trends (2000 - 2023) [Dataset]. https://www.kaggle.com/datasets/praveenchandran2006/u-s-housing-prices-regional-trends-2000-2023
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 6, 2024
    Dataset provided by
    Kaggle
    Authors
    Praveen Chandran
    Area covered
    United States
    Description

    Dataset Overview

    This dataset provides historical housing price indices for the United States, covering a span of 20 years from January 2000 onwards. The data includes housing price trends at the national level, as well as for major metropolitan areas such as San Francisco, Los Angeles, New York, and more. It is ideal for understanding how housing prices have evolved over time and exploring regional differences in the housing market.

    Why This Dataset?

    The U.S. housing market has experienced significant shifts over the last two decades, influenced by economic booms, recessions, and post-pandemic recovery. This dataset allows data enthusiasts, economists, and real estate professionals to analyze long-term trends, make forecasts, and derive insights into regional housing markets.

    What’s Included?

    Time Period: January 2000 to the latest available data (specific end date depends on the dataset). Frequency: Monthly data. Regions Covered: 20+ U.S. cities, states, and aggregates.

    Columns Description

    Each column represents the housing price index for a specific region or aggregate, starting with a date column:

    Date: Represents the date of the housing price index measurement, recorded with a monthly frequency. U.S. National: The national-level housing price index for the United States. 20-City Composite: The aggregate housing price index for the top 20 metropolitan areas in the U.S. CA-San Francisco: The housing price index for San Francisco, California. CA-Los Angeles: The housing price index for Los Angeles, California. WA-Seattle: The housing price index for Seattle, Washington. NY-New York: The housing price index for New York City, New York. Additional Columns: The dataset includes more columns with housing price indices for various U.S. cities, which can be viewed in the full dataset preview.

    Potential Use Cases

    Time-Series Analysis: Investigate long-term trends and patterns in housing prices. Forecasting: Build predictive models to forecast future housing prices using historical data. Regional Comparisons: Analyze how housing prices have grown in different cities over time. Economic Insights: Correlate housing prices with economic factors like interest rates, GDP, and inflation.

    Who Can Use This Dataset?

    This dataset is perfect for:

    Data scientists and machine learning practitioners looking to build forecasting models. Economists and policymakers analyzing housing market dynamics. Real estate investors and analysts studying regional trends in housing prices.

    Example Questions to Explore

    Which cities have experienced the highest housing price growth over the last 20 years? How do housing price trends in coastal cities (e.g., Los Angeles, Miami) compare to midwestern cities (e.g., Chicago, Detroit)? Can we predict future housing prices using time-series models like ARIMA or Prophet?

  6. 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.

  7. y

    Case-Shiller Home Price Index: Los Angeles, CA

    • ycharts.com
    html
    Updated Aug 26, 2025
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    Standard and Poor's (2025). Case-Shiller Home Price Index: Los Angeles, CA [Dataset]. https://ycharts.com/indicators/case_shiller_home_price_index_los_angeles
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 26, 2025
    Dataset provided by
    YCharts
    Authors
    Standard and Poor's
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1987 - Jun 30, 2025
    Area covered
    Los Angeles, California
    Variables measured
    Case-Shiller Home Price Index: Los Angeles, CA
    Description

    View monthly updates and historical trends for Case-Shiller Home Price Index: Los Angeles, CA. Source: Standard and Poor's. Track economic data with YChar…

  8. F

    Housing Inventory: Median Listing Price in Los Angeles County, CA

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
    + more versions
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    (2025). Housing Inventory: Median Listing Price in Los Angeles County, CA [Dataset]. https://fred.stlouisfed.org/series/MEDLISPRI6037
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

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

    Area covered
    Los Angeles County, California
    Description

    Graph and download economic data for Housing Inventory: Median Listing Price in Los Angeles County, CA (MEDLISPRI6037) from Jul 2016 to Aug 2025 about Los Angeles County, CA; Los Angeles; CA; listing; median; price; and USA.

  9. 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/
    Explore at:
    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.

  10. p

    Los Angeles Average Rent Price & Real Estate Market Forecast 2025

    • propertygenie.us
    Updated Sep 26, 2025
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    Property Genie (2025). Los Angeles Average Rent Price & Real Estate Market Forecast 2025 [Dataset]. https://www.propertygenie.us/market-insight/los-angeles-ca
    Explore at:
    Dataset updated
    Sep 26, 2025
    Dataset authored and provided by
    Property Genie
    License

    https://www.propertygenie.us/terms-conditionshttps://www.propertygenie.us/terms-conditions

    Time period covered
    Jun 30, 2025
    Area covered
    Variables measured
    Population, Rental Count, Job Growth (%), LTR Genie Score, STR Genie Score, Income Growth (%), Rental Demand Score, LTR Monthly Cash Flow, Population Growth (%), STR Monthly Cash Flow, and 6 more
    Description

    Explore Los Angeles, CA rental market 2025. The average long-term prices $2,874 and short-term $3,542, with trends shaping housing in a city of 3,857,897 residents.

  11. F

    Housing Inventory: Active Listing Count in Los Angeles County, CA

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in Los Angeles County, CA [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOU6037
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

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

    Area covered
    Los Angeles County, California
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in Los Angeles County, CA (ACTLISCOU6037) from Jul 2016 to Aug 2025 about Los Angeles County, CA; Los Angeles; active listing; CA; listing; and USA.

  12. T

    United States House Price Index YoY

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). United States House Price Index YoY [Dataset]. https://tradingeconomics.com/united-states/house-price-index-yoy
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Mar 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
    Jan 31, 1992 - Jun 30, 2025
    Area covered
    United States
    Description

    House Price Index YoY in the United States decreased to 2.60 percent in June from 2.90 percent in May of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

  13. y

    Los Angeles-Long Beach-Glendale, CA House Price Index

    • ycharts.com
    html
    Updated Aug 26, 2025
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    Federal Housing Finance Agency (2025). Los Angeles-Long Beach-Glendale, CA House Price Index [Dataset]. https://ycharts.com/indicators/los_angeleslong_beachglendale_ca_house_price_purchase_only_index
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 26, 2025
    Dataset provided by
    YCharts
    Authors
    Federal Housing Finance Agency
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Mar 31, 1991 - Jun 30, 2025
    Area covered
    Glendale, Long Beach, Los Angeles County, California
    Variables measured
    Los Angeles-Long Beach-Glendale, CA House Price Index
    Description

    View quarterly updates and historical trends for Los Angeles-Long Beach-Glendale, CA House Price Index. Source: Federal Housing Finance Agency. Track econ…

  14. F

    Condo Price Index for Los Angeles, California

    • fred.stlouisfed.org
    json
    Updated Aug 26, 2025
    + more versions
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    (2025). Condo Price Index for Los Angeles, California [Dataset]. https://fred.stlouisfed.org/series/LXXRCSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 26, 2025
    License

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

    Area covered
    Los Angeles, California
    Description

    Graph and download economic data for Condo Price Index for Los Angeles, California (LXXRCSA) from Jan 1995 to Jun 2025 about Los Angeles, HPI, housing, price index, indexes, price, and USA.

  15. House Price Data World-Wide

    • kaggle.com
    Updated Dec 20, 2024
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    Prathamesh Jakkula (2024). House Price Data World-Wide [Dataset]. https://www.kaggle.com/datasets/prathameshjakkula/house-price-data-world-wide/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 20, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Prathamesh Jakkula
    Description

    This dataset contains 500 entries of housing price data from various countries, regions, and cities worldwide, making it ideal for machine learning models and real estate market analysis. The dataset covers diverse geographic locations, including:

    North America: USA, Canada, Mexico
    Europe: Germany, France, UK, Italy, Spain
    Asia: Japan, China, India, South Korea
    Other Regions: Australia, Brazil, South Africa
    

    Columns Included:

    Country: The country where the house is located (e.g., USA, Japan, India).
    State/Region: The state or region within the country (e.g., California, Bavaria).
    City: The city where the property is located (e.g., Los Angeles, Tokyo).
    Square Footage (SqFt): The size of the house in square feet (ranging from 500 to 5000 sq ft).
    Bedrooms: The number of bedrooms in the house (ranging from 1 to 6).
    Population Density: The population density of the area (people per sq km).
    Price of House: The price of the house (in local currency, converted to USD where applicable).
    

    This dataset can be used for:

    Machine Learning Models: Training and evaluating models for house price prediction.
    Market Analysis: Analyzing housing trends across different regions and countries.
    Visualization: Creating insightful visualizations to understand price distributions and regional variations.
    

    This dataset provides a balanced mix of geographic diversity and housing features for robust predictive modeling and analysis.

  16. y

    Los Angeles-Long Beach-Glendale, CA Housing Affordability Index

    • ycharts.com
    html
    Updated Aug 10, 2023
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    National Association of Realtors (2023). Los Angeles-Long Beach-Glendale, CA Housing Affordability Index [Dataset]. https://ycharts.com/indicators/los_angeleslong_beachglendale_ca_housing_affordability_index
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 10, 2023
    Dataset provided by
    YCharts
    Authors
    National Association of Realtors
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Dec 31, 2013 - Dec 31, 2022
    Area covered
    Glendale, Long Beach, Los Angeles County, California
    Variables measured
    Los Angeles-Long Beach-Glendale, CA Housing Affordability Index
    Description

    View yearly updates and historical trends for Los Angeles-Long Beach-Glendale, CA Housing Affordability Index. Source: National Association of Realtors. T…

  17. U

    USA Office Real Estate Industry Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 24, 2025
    + more versions
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    Market Report Analytics (2025). USA Office Real Estate Industry Report [Dataset]. https://www.marketreportanalytics.com/reports/usa-office-real-estate-industry-92102
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 24, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The USA office real estate market, currently experiencing robust growth, is projected to maintain a Compound Annual Growth Rate (CAGR) exceeding 4% from 2025 to 2033. This expansion is fueled by several key drivers. The robust performance of the Information Technology (IT and ITES) sector, along with continued growth in the Banking, Financial Services, and Insurance (BFSI) industries, are significantly boosting demand for office space. Furthermore, the expansion of consulting firms and other service-based businesses contributes to this positive trend. However, the market is not without its challenges. Factors such as economic uncertainty, fluctuating interest rates, and the increasing adoption of hybrid work models could act as restraints on growth. The market is segmented by sector, with IT and ITES, BFSI, and consulting firms representing the largest segments. Major players like Turner Construction Company, Kiewit Corporation, and others are shaping the market through their construction and development activities. While the precise market size for 2025 is not provided, considering a conservative estimate based on the given CAGR and assuming a 2024 market size of approximately $1 trillion (this is an estimation), we can project a substantial increase over the forecast period. Regional variations will exist, with major metropolitan areas like New York, Los Angeles, and Chicago likely exhibiting higher growth rates compared to less densely populated regions. The long-term outlook remains positive, although proactive adaptation to evolving workplace dynamics will be critical for sustained success within the industry. The competitive landscape is characterized by a blend of large national firms and regional players. The increasing emphasis on sustainable building practices and technological advancements in building management systems is another trend shaping the market. While the rise of remote work poses a potential challenge, the demand for flexible and adaptable office spaces, designed to cater to hybrid work models, is simultaneously creating new opportunities. The market's future trajectory will depend heavily on the macroeconomic environment, technological advancements, and the evolving preferences of businesses and workers concerning workspace arrangements. Continuous monitoring of these dynamics is essential for informed decision-making in this dynamic and competitive sector. Recent developments include: April 2023: The principals of Mishawaka-based Cressy Commercial Real Estate are pleased to announce the completion of a merger with Mno-Bmadsen, the nongaming investment arm of the Pokagon Band of Potawatomi. The merger will enable Cressy to expand into new markets and implement their strategic goals while continuing to provide world-class service to past and future clients. Mno-Bmadsen will benefit from additional resources to manage the real estate needs of its growing portfolio of investments., February 2023: Mirabaud Asset Management has structured the acquisition of a two-building office occupied by a non-profit academic foundation and medical center. The transaction was structured by Mirabaud Asset Management as a Luxembourg-based institutional commercial real estate partnership on behalf of its international clientele. This acquisition brings the value of Mirabaud's US real estate portfolio to almost $600 million.. Notable trends are: Increase in Leasing Volumes.

  18. y

    Case-Shiller Los Angeles, CA Home Price Index MoM

    • ycharts.com
    html
    Updated Aug 26, 2025
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    Standard and Poor's (2025). Case-Shiller Los Angeles, CA Home Price Index MoM [Dataset]. https://ycharts.com/indicators/case_shiller_home_price_index_monthly_change_los_angeles
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 26, 2025
    Dataset provided by
    YCharts
    Authors
    Standard and Poor's
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Feb 28, 1987 - Jun 30, 2025
    Area covered
    Los Angeles, California
    Variables measured
    Case-Shiller Los Angeles, CA Home Price Index MoM
    Description

    View monthly updates and historical trends for Case-Shiller Los Angeles, CA Home Price Index MoM. Source: Standard and Poor's. Track economic data with YC…

  19. a

    Los Angeles Airbnb Market Data

    • airroi.com
    Updated Jul 30, 2025
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    AirROI (2025). Los Angeles Airbnb Market Data [Dataset]. https://www.airroi.com/data-portal/markets/los-angeles
    Explore at:
    Dataset updated
    Jul 30, 2025
    Dataset authored and provided by
    AirROI
    License

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

    Time period covered
    Jan 2012 - Jul 2025
    Area covered
    Los Angeles
    Description

    Comprehensive Airbnb dataset for Los Angeles, United States providing detailed vacation rental analytics including property listings, pricing trends, host information, review sentiment analysis, and occupancy rates for short-term rental market intelligence and investment research.

  20. D

    Luxury Real Estate Auctions Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Luxury Real Estate Auctions Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/luxury-real-estate-auctions-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Luxury Real Estate Auctions Market Outlook



    The global luxury real estate auctions market size was valued at approximately USD 1.6 billion in 2023 and is projected to reach nearly USD 3.5 billion by 2032, growing at a robust CAGR of 8.2% during the forecast period. This substantial growth can be attributed to increasing wealth accumulation, technological advancements in auction platforms, and a growing preference for transparent and efficient transaction processes among high-net-worth individuals (HNWIs) and affluent buyers.



    One of the primary growth factors for the luxury real estate auctions market is the rising number of HNWIs globally. The increase in disposable income and wealth concentration, particularly in regions such as North America, Europe, and parts of Asia, has led to a higher demand for luxury properties. These individuals often seek exclusive, unique properties that match their status and lifestyle, and auctions provide a streamlined, competitive platform for acquiring such assets. Additionally, the global trend towards urbanization and the development of luxury real estate in metropolitan areas have also contributed significantly to market growth.



    Technological advancements have revolutionized how luxury real estate auctions are conducted, further driving market growth. The advent of online auction platforms has made it easier for buyers and sellers to participate regardless of their geographical location. This has expanded the market reach and attracted a global audience. Online platforms offer enhanced transparency, convenience, and security, which are critical factors for HNWIs when dealing with high-value transactions. Furthermore, the integration of virtual reality (VR) and augmented reality (AR) technologies allows potential buyers to experience properties remotely, significantly enhancing the buying experience and accelerating decision-making processes.



    The efficiency and transparency provided by auction processes have also fueled market growth. Auctions eliminate the prolonged negotiation periods typically associated with traditional real estate sales, providing a quicker route to closing deals. This aspect is particularly appealing in the luxury segment, where time is often of the essence for both sellers and buyers. Moreover, the competitive nature of auctions often results in properties being sold at higher prices, which is advantageous for sellers. These factors contribute to the growing popularity of luxury real estate auctions as a preferred method for transacting high-value properties.



    Regionally, North America holds a significant share of the luxury real estate auctions market, driven by the presence of many HNWIs and a well-established luxury real estate market. The United States, in particular, has seen considerable growth due to the high demand for luxury properties in cities like New York, Los Angeles, and Miami. Europe follows closely, with countries like the UK, France, and Switzerland being key markets due to their historical charm and appeal to international buyers. The Asia Pacific region is expected to witness the highest growth rate, propelled by increasing urbanization, economic development, and the rising number of affluent individuals in countries like China, India, and Japan.



    Property Type Analysis



    The luxury real estate auctions market by property type is segmented into residential, commercial, industrial, and others. The residential segment dominates the market, owing to the high demand for luxury homes, villas, and apartments. High-net-worth individuals and affluent buyers are constantly seeking exclusive residential properties that offer privacy, luxury amenities, and prime locations. This segment is expected to maintain its dominance throughout the forecast period, driven by ongoing urbanization and the development of high-end residential projects in metropolitan areas worldwide.



    In contrast, the commercial segment, though smaller in comparison, is growing steadily. Luxury commercial properties, including premium office spaces, retail outlets, and hotels, are increasingly being sold through auctions. The commercial sector's growth is fueled by the desire of institutional buyers to invest in high-value assets that promise substantial returns. The transparency and efficiency of the auction process are particularly appealing in the commercial sector, where large-scale investments are common, and quick transactions are valued.



    The industrial segment, although niche, is also witnessing growth in the luxury real estate auctions market. High-value industrial properties, suc

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(2025). All-Transactions House Price Index for Los Angeles County, CA [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS06037A

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

ATNHPIUS06037A

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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.

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