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.

Graph and download economic data for Housing Inventory: Median Listing Price Year-Over-Year in California (MEDLISPRIYYCA) from Jul 2017 to Jun 2025 about CA, listing, median, price, and USA.

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

Mexico Average House Price: Baja California data was reported at 903,598.000 MXN in Mar 2019. This records an increase from the previous number of 720,437.000 MXN for Dec 2018. Mexico Average House Price: Baja California data is updated quarterly, averaging 658,724.000 MXN from Dec 2014 (Median) to Mar 2019, with 18 observations. The data reached an all-time high of 903,598.000 MXN in Mar 2019 and a record low of 562,050.000 MXN in Dec 2014. Mexico Average House Price: Baja California data remains active status in CEIC and is reported by Federal Mortgage Society. The data is categorized under Global Database’s Mexico – Table MX.EB005: Average House Price.

Average House Prices in Canada decreased to 690900 CAD in May from 692400 CAD in April of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

In October 2024, the median sales price of an existing single-family home in San Mateo, California was *********** U.S. dollars. This was more than double the median sales price in the state of California. The most affordable county was Trinity, where an existing single family home sold for approximately ******* U.S. dollars.

Median house prices for California districts derived from the 1990 census.

About Dataset

Context This is the dataset used in the second chapter of Aurélien Géron's recent book 'Hands-On Machine learning with Scikit-Learn and TensorFlow'. 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 to 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.

Content The data pertains to the houses found in a given California district and some summary stats about them based on the 1990 census data. Be warned the data aren't cleaned so there are some preprocessing steps required! The columns are as follows, their names are pretty self-explanatory: - longitude - latitude - housing_median_age - total_rooms - total_bedrooms - population - households - median_income - median_house_value - ocean_proximity

Acknowledgements This data was initially featured in the following paper: Pace, R. Kelley, and Ronald Barry. "Sparse spatial autoregressions." Statistics & Probability Letters 33.3 (1997): 291-297.

and I encountered it in 'Hands-On Machine learning with Scikit-Learn and TensorFlow' by Aurélien Géron. Aurélien Géron wrote: This dataset is a modified version of the California Housing dataset available from: Luís Torgo's page (University of Porto)

Inspiration See my kernel on machine learning basics in R using this dataset, or venture over to the following link for a python based introductory tutorial: https://github.com/ageron/handson-ml/tree/master/datasets/housing

The average Canadian house price declined slightly in 2023, after four years of consecutive growth. The average house price stood at ******* Canadian dollars in 2023 and was forecast to reach ******* Canadian dollars by 2026. Home sales on the rise The number of housing units sold is also set to increase over the two-year period. From ******* units sold, the annual number of home sales in the country is expected to rise to ******* in 2025. British Columbia and Ontario have traditionally been housing markets with prices above the Canadian average, and both are set to witness an increase in sales in 2025. How did Canadians feel about the future development of house prices? When it comes to consumer confidence in the performance of the real estate market in the next six months, Canadian consumers in 2024 mostly expected that the market would go up. A slightly lower share of the respondents believed real estate prices would remain the same.

All-Transactions House Price Index for California was 967.68000 Index 1980 Q1=100 in January of 2025, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for California reached a record high of 967.81000 in October of 2024 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 July of 2025.

In October 2024, the median sales price of an existing single-family home in Del Norte, California saw an increase of nearly 30 percent, compared to the 5.8 percent increase in the state. 20 counties saw prices fall during this period. In Trinity, the median sales price of single-family homes decreased by approximately 36 percent.

In October 2024, the median square footage sales price of a single-family home in the San Francisco Bay Area was approximately *** U.S. dollars. Condos, on the other hand, sold for *** U.S. dollars per square foot. The Far North was the most affordable region with sales price of *** and *** U.S. dollars for single family homes and condos, respectively.

United States House Price Index: FHFA: California data was reported at 655.910 Mar1980=100 in Jun 2018. This records an increase from the previous number of 639.250 Mar1980=100 for Mar 2018. United States House Price Index: FHFA: California data is updated quarterly, averaging 227.460 Mar1980=100 from Mar 1975 (Median) to Jun 2018, with 174 observations. The data reached an all-time high of 655.910 Mar1980=100 in Jun 2018 and a record low of 41.630 Mar1980=100 in Mar 1975. United States House Price Index: FHFA: California data remains active status in CEIC and is reported by Federal Housing Finance Agency. The data is categorized under Global Database’s United States – Table US.EB014: House Price Index.

The median house prices in the most expensive zip codes in California reached as high as *** million U.S dollars. Atherton (94027), had the most expensive median house price, followed by Santa Barbara (93108), and Beverly Hills (90210). Six of the ranked zip codes were among the top ten most expensive zip codes in the United States in 2023.

Graph and download economic data for Housing Inventory: Median Listing Price Year-Over-Year in Los Angeles County, CA (MEDLISPRIYY6037) from Jul 2017 to Jun 2025 about Los Angeles County, CA; Los Angeles; CA; listing; median; price; and USA.

The average resale house price in Canada was forecast to reach nearly ******* Canadian dollars in 2026, according to a January forecast. In 2024, house prices increased after falling for the first time since 2019. One of the reasons for the price correction was the notable drop in transaction activity. Housing transactions picked up in 2024 and are expected to continue to grow until 2026. British Columbia, which is the most expensive province for housing, is projected to see the average house price reach *** million Canadian dollars in 2026. Affordability in Vancouver Vancouver is the most populous city in British Columbia and is also infamously expensive for housing. In 2023, the city topped the ranking for least affordable housing market in Canada, with the average homeownership cost outweighing the average household income. There are a multitude of reasons for this, but most residents believe that foreigners investing in the market cause the high housing prices. Victoria housing market The capital of British Columbia is Victoria, where housing prices are also very high. The price of a single family home in Victoria's most expensive suburb, Oak Bay was *** million Canadian dollars in 2024.

House prices in British Columbia and Ontario were notably higher than any other province in Canada in 2024. The average house price in any other province was less than ******* Canadian dollars, whereas in British Columbia and Ontario, it exceeded ******* Canadian dollars. The most affordable province to buy a home was Newfoundland, where the average home cost about ******* Canadian dollars.

The average house price in Nova Scotia in 2024 stood at approximately ******* Canadian dollars. In the next year, house prices are forecast to further increase by about five percent. Compared to other provinces, Nova Scotia ranked below the national average in terms of house prices. However, the average price of a house in Nova Scotia was twice lower than in Ontario or British Columbia. Exploding population growth in recent yearsNova Scotia is the second-smallest province after Prince Edward Island, and had a population of just under *********** in 2018. The population of this province was relatively steady between 2000 and 2015, but has taken off since then. This sudden growth may be a factor in the increasing house prices, as demand also increases due to the greater number of residents looking for homes. The future of housing affordability in Nova ScotiaHalifax, the provincial capital, had an affordable housing market as of 2018, with mortgage payments only constituting about ** percent of average household incomes. The number of housing starts in the region has increased in the past few years, which also suggests an increase in demand. Only time will tell whether this will ensure a sufficient supply of homes for the region in response to its growing population.

California - Median Home Listing Price: 9 years of historical data from 2016 to 2025.

In 2022, San Mateo, San Francisco, and Santa Clara were the most expensive districts for housing in the San Francisco Bay Area. In San Francisco, the average square footage price of single-family homes exceeded 1,000 U.S. dollars per square foot. Housing in Solano, on the other hand, was most affordable, with the average square footage price for single family homes at 370 U.S. dollars.

How expensive is buying a home in San Francisco? Few metros in the U.S. are more expensive than San Francisco, CA. In 2022, the median sales price of existing single-family homes in San Francisco was about 1.4 million U.S. dollars, making it the second priciest market in the U.S. House prices in the Golden City, were not always so high: in 2014, a two-bedroom house in the Bay Area would sell for less than 500,000 U.S. dollars but since then, the median price has more than doubled.

How much does renting an apartment cost? Despite rents falling in 2020, renting in San Francisco is still far from cheap. Renting a two-bedroom apartment cost close to 4,000 U.S. dollars in 2021. California is one of the least affordable states for renters. In fact, to afford to rent such an apartment, a household needs approximately three full time jobs at minimum wage or two full time jobs at mean wage.

The median listing price in a given market during the specified month.

With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).