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Graph and download economic data for Housing Inventory: Median Listing Price in Los Angeles County, CA (MEDLISPRI6037) from Jul 2016 to Dec 2024 about Los Angeles County, CA; Los Angeles; CA; listing; median; price; and USA.
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 130 in a given month, for example, it means that the house prices have increased by 30 percent since 2000. The value of the S&P Case Shiller Los Angeles Home Price Index amounted to approximately 441.57 in August 2024. That was significantly higher than the national average.
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Graph and download economic data for S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index (LXXRSA) from Jan 1987 to Mar 2025 about Los Angeles, CA, HPI, housing, price index, indexes, price, and USA.
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Graph and download economic data for Housing Inventory: Median Listing Price in Los Angeles-Long Beach-Anaheim, CA (CBSA) (MEDLISPRI31080) from Jul 2016 to May 2025 about Los Angeles, CA, listing, median, price, and USA.
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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.
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Analysis of ‘California Housing Prices Data (5 new features!)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/fedesoriano/california-housing-prices-data-extra-features on 28 January 2022.
--- Dataset description provided by original source is as follows ---
Boston House Prices: LINK
This is the dataset is a modified version of the California Housing Data used in the paper Pace, R. Kelley, and Ronald Barry. "Sparse spatial autoregressions." Statistics & Probability Letters 33.3 (1997): 291-297.
. It serves as an excellent introduction to implementing machine learning algorithms because it requires rudimentary data cleaning, has an easily understandable list of variables and sits at an optimal size between being too toyish and too cumbersome.
The data contains information from the 1990 California census. So although it may not help you with predicting current housing prices like the Zillow Zestimate dataset, it does provide an accessible introductory dataset for teaching people about the basics of machine learning.
This dataset includes 5 extra features defined by me: "Distance to coast", "Distance to Los Angeles", "Distance to San Diego", "Distance to San Jose", and "Distance to San Francisco". These extra features try to account for the distance to the nearest coast and the distance to the centre of the largest cities in California.
The distances were calculated using the Haversine formula with the Longitude and Latitude:
https://wikimedia.org/api/rest_v1/media/math/render/svg/a65dbbde43ff45bacd2505fcf32b44fc7dcd8cc0" alt="">
where:
phi_1
and phi_2
are the Latitudes of point 1 and point 2, respectivelylambda_1
and lambda_2
are the Longitudes of point 1 and point 2, respectivelyr
is the radius of the Earth (6371km)The data pertains to the houses found in a given California district and some summary stats about them based on the 1990 census data. The columns are as follows, their names are pretty self-explanatory:
1) Median House Value: Median house value for households within a block (measured in US Dollars) [$] 2) Median Income: Median income for households within a block of houses (measured in tens of thousands of US Dollars) [10k$] 3) Median Age: Median age of a house within a block; a lower number is a newer building [years] 4) Total Rooms: Total number of rooms within a block 5) Total Bedrooms: Total number of bedrooms within a block 6) Population: Total number of people residing within a block 7) Households: Total number of households, a group of people residing within a home unit, for a block 8) Latitude: A measure of how far north a house is; a higher value is farther north [°] 9) Longitude: A measure of how far west a house is; a higher value is farther west [°] 10) Distance to coast: Distance to the nearest coast point [m] 11) Distance to Los Angeles: Distance to the centre of Los Angeles [m] 12) Distance to San Diego: Distance to the centre of San Diego [m] 13) Distance to San Jose: Distance to the centre of San Jose [m] 14) Distance to San Francisco: Distance to the centre of San Francisco [m]
This data was entirely modified and cleaned by me. The original data (without the distance features) was initially featured in the following paper: Pace, R. Kelley, and Ronald Barry. "Sparse spatial autoregressions." Statistics & Probability Letters 33.3 (1997): 291-297.
The original dataset can be found under the following link: https://www.dcc.fc.up.pt/~ltorgo/Regression/cal_housing.html
--- Original source retains full ownership of the source dataset ---
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Graph and download economic data for Housing Inventory: Median Listing Price in Orange County, CA (MEDLISPRI6059) from Jul 2016 to Dec 2024 about Orange County, CA; Los Angeles; CA; listing; median; price; and USA.
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United States Median Home Sale Price: All Residential: Los Angeles, CA data was reported at 700.000 USD th in Jul 2020. This records an increase from the previous number of 655.000 USD th for Jun 2020. United States Median Home Sale Price: All Residential: Los Angeles, CA data is updated monthly, averaging 532.500 USD th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 700.000 USD th in Jul 2020 and a record low of 300.000 USD th in Feb 2012. United States Median Home Sale Price: All Residential: Los Angeles, CA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB056: Median Home Sale Price: by Metropolitan Areas.
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Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in Los Angeles County, CA (MEDLISPRIPERSQUFEE6037) from Jul 2016 to Dec 2024 about Los Angeles County, CA; Los Angeles; square feet; CA; listing; median; price; and USA.
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United States Median Home Sale Price: sa: Townhouse: Los Angeles, CA data was reported at 567.000 USD th in Jul 2020. This records an increase from the previous number of 543.000 USD th for Jun 2020. United States Median Home Sale Price: sa: Townhouse: Los Angeles, CA data is updated monthly, averaging 461.500 USD th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 573.000 USD th in Dec 2019 and a record low of 309.000 USD th in Apr 2012. United States Median Home Sale Price: sa: Townhouse: Los Angeles, CA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB057: Median Home Sale Price: by Metropolitan Areas: Seasonally Adjusted.
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Housing Inventory: Median Home Size in Square Feet in Los Angeles County, CA was 1717.00000 Level in December of 2024, according to the United States Federal Reserve. Historically, Housing Inventory: Median Home Size in Square Feet in Los Angeles County, CA reached a record high of 1858.00000 in June of 2018 and a record low of 1662.00000 in October of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Median Home Size in Square Feet in Los Angeles County, CA - last updated from the United States Federal Reserve on June of 2025.
In several cities in the United States, land prices made up over two-thirds of the value of those properties in 2023. For example, the average price of land for development in Los Angeles constituted 74 percent of the value of the property erected in that soil. The three cities with the highest land price in the U.S. were in California.
This dataset provides information about the number of properties, residents, and average property values for Price Street cross streets in Los Angeles, CA.
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Graph and download economic data for Condo Price Index for Los Angeles, California (LXXRCSA) from Jan 1995 to Apr 2025 about Los Angeles, HPI, housing, price index, indexes, price, and USA.
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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Context
The dataset illustrates the median household income in Los Angeles, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.
Key observations:
From 2010 to 2023, the median household income for Los Angeles increased by $11,330 (16.41%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.
Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 9 years and declined for 4 years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.
Years for which data is available:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Los Angeles median household income. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset illustrates the median household income in Los Angeles, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.
Key observations:
From 2010 to 2021, the median household income for Los Angeles increased by $9,123 (13.76%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.
Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 4 years.
https://i.neilsberg.com/ch/los-angeles-ca-median-household-income-trend.jpeg" alt="Los Angeles, CA median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.
Years for which data is available:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Los Angeles median household income. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Median Home Sale Price: Multi-Family: Los Angeles, CA data was reported at 879.000 USD th in Jul 2020. This records an increase from the previous number of 790.000 USD th for Jun 2020. United States Median Home Sale Price: Multi-Family: Los Angeles, CA data is updated monthly, averaging 603.500 USD th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 879.000 USD th in Jul 2020 and a record low of 309.000 USD th in Feb 2012. United States Median Home Sale Price: Multi-Family: Los Angeles, CA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB056: Median Home Sale Price: by Metropolitan Areas.
This dataset provides information about the number of properties, residents, and average property values for Butterfly Lane cross streets in Los Angeles, CA.
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Graph and download economic data for All-Transactions House Price Index for Los Angeles-Long Beach-Glendale, CA (MSAD) (ATNHPIUS31084Q) from Q1 1975 to Q1 2025 about Los Angeles, appraisers, CA, HPI, housing, price index, indexes, price, and USA.
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Graph and download economic data for Housing Inventory: Median Listing Price in Los Angeles County, CA (MEDLISPRI6037) from Jul 2016 to Dec 2024 about Los Angeles County, CA; Los Angeles; CA; listing; median; price; and USA.