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.

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

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.

All-Transactions House Price Index for Los Angeles County, CA was 398.42000 Index 2000=100 in January of 2024, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for Los Angeles County, CA reached a record high of 398.42000 in January of 2024 and a record low of 16.91000 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 Los Angeles County, CA - last updated from the United States Federal Reserve on November of 2025.

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.

Graph and download economic data for All-Transactions House Price Index for Los Angeles-Long Beach-Glendale, CA (MSAD) (ATNHPIUS31084Q) from Q1 1975 to Q3 2025 about Los Angeles, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

Browse the full historical data for Los Angeles County mortgage loan limits from 1972 to 2025. This comprehensive table shows how loan limits have changed over 50+ years, helping you understand long-term trends in your local housing market.

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

Dataset Overview

This dataset provides a comprehensive look at real estate listings across various cities in California, collected from Zillow ethically. The data represents a snapshot of the market, showcasing properties for sale, including condos and houses. It serves as a valuable resource for understanding market trends, regional demand, and pricing distributions across the Golden State.

Data Science Applications

The California Real Estate Listings Dataset is ideal for various data science projects and analyses, particularly in the realms of market analysis, trend forecasting, and regional economic studies. The data can serve as a foundation for predictive modeling, clustering for market segmentation, and comparative studies between different locales. Note: This data is intended for educational purposes only.

Column Descriptors

• addressCity: The city where the property is located.
• addressState: The state for the property, which is CA for all entries.
• price: The listed price of the property.
• statusType: Indicates the listing status, consistently "FOR_SALE" across the dataset.
• statusText: Describes the type of property listed, such as "Condo for sale" or "House for sale".

Ethically Mined Data

This dataset was ethically mined, ensuring that sensitive information, including exact addresses and broker names, was omitted to respect privacy. This consideration helps maintain ethical standards while providing valuable insights.

Acknowledgements

We extend our gratitude to Zillow which is the source of the data and which made this dataset possible. We also thank Florian Schmidinger for the image of a California property, which can be viewed here, enhancing our dataset's presentation.

Price-To-Sales-Ratio Time Series for Boston Properties Inc. BXP, Inc. (NYSE: BXP) is the largest publicly traded developer, owner, and manager of premier workplaces in the United States, concentrated in six dynamic gateway markets - Boston, Los Angeles, New York, San Francisco, Seattle, and Washington, DC. BXP has delivered places that power progress for our clients and communities for more than 50 years. BXP is a fully integrated real estate company, organized as a real estate investment trust (REIT). As of June 30, 2025, including properties owned by unconsolidated joint ventures, BXP's portfolio totals 53.7 million square feet and 186 properties, including ten properties under construction/redevelopment.

Total-Long-Term-Liabilities Time Series for Boston Properties Inc. BXP, Inc. (NYSE: BXP) is the largest publicly traded developer, owner, and manager of premier workplaces in the United States, concentrated in six dynamic gateway markets - Boston, Los Angeles, New York, San Francisco, Seattle, and Washington, DC. BXP has delivered places that power progress for our clients and communities for more than 50 years. BXP is a fully integrated real estate company, organized as a real estate investment trust (REIT). As of June 30, 2025, including properties owned by unconsolidated joint ventures, BXP's portfolio totals 53.7 million square feet and 186 properties, including ten properties under construction/redevelopment.

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.