The U.S. housing market has slowed, after ** consecutive years of rising home prices. In 2021, house prices surged by an unprecedented ** percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by *** percent. That was lower than the long-term average of *** percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of **** percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over ******* U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

The price of existing dwellings in the UK increased significantly between 1990 and 2023. Existing housing reached a value of 331,000 British pounds in 2023. That was slightly lower than the previous year, when house prices peaked, but a substantial increase since 2019 when prices started to rise rapidly. Overall, flats or maisonettes in converted houses were the most affordable housing type in the UK in 2023.

Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q1 2025 about sales, housing, and USA.

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q1 2025 about sales, median, housing, and USA.

House Price Index: Annual: Semi Detached House: Johor data was reported at 143.900 1990=100 in 2001. This records a decrease from the previous number of 145.400 1990=100 for 2000. House Price Index: Annual: Semi Detached House: Johor data is updated yearly, averaging 130.650 1990=100 from Dec 1988 (Median) to 2001, with 14 observations. The data reached an all-time high of 150.400 1990=100 in 1997 and a record low of 85.200 1990=100 in 1988. House Price Index: Annual: Semi Detached House: Johor data remains active status in CEIC and is reported by Valuation and Property Services Department, Ministry of Finance. The data is categorized under Global Database’s Malaysia – Table MY.EB003: House Price Index: 1990=100.

The price of existing dwelling units in Great Britain significantly grew between 1990 and 2023. The simple average price of existing homes amounted to ******* British pounds in 2023. That was a decrease of ****** British pounds from a year ago, when prices were are their peak.

House Price Index: Annual: Negeri Sembilan data was reported at 171.200 1990=100 in 2001. This records an increase from the previous number of 160.000 1990=100 for 2000. House Price Index: Annual: Negeri Sembilan data is updated yearly, averaging 119.200 1990=100 from Dec 1988 (Median) to 2001, with 14 observations. The data reached an all-time high of 171.200 1990=100 in 2001 and a record low of 97.000 1990=100 in 1988. House Price Index: Annual: Negeri Sembilan data remains active status in CEIC and is reported by Valuation and Property Services Department, Ministry of Finance. The data is categorized under Global Database’s Malaysia – Table MY.EB003: House Price Index: 1990=100.

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

House Price Index YoY in the United States decreased to 3 percent in April from 3.90 percent in March of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

The average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.

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

Graph and download economic data for Residential Property Prices for Japan (QJPN628BIS) from Q1 1955 to Q4 2024 about Japan, residential, HPI, housing, price index, indexes, and price.

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.

This table contains 204 series, with data for years 1981 - 2010 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (34 items: Canada; Newfoundland and Labrador; St. John's; Newfoundland and Labrador; Atlantic Region ...), New housing price indexes (3 items: Total (house and land);House only; Land only ...), Index base period (2 items: 1992=100;1997=100 ...).

Housing Index in Hong Kong increased to 136.68 points in July 6 from 136.56 points in the previous week. This dataset provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The median sales price of new homes sold in the United States increased steadily from 1965 to 2023. In 2023, a newly built home cost approximately ******* U.S. dollars. That was a decline of nearly ****** U.S. dollars and the first decrease since 2018. Prices varied greatly across different regions in the country, with the most expensive housing found in the Northeast region.

The California Housing dataset is based on 1990 US census and is widely used for machine learning and statistics. It was published in 1990 by Pace, R. Kelley and Ronald Barry, and can be found in the UCI Machine Learning Repository. The California Data set gives the information about Economic and Geographic values of the Houses,and also the economic status of the people present in the California.

Housing Index in Germany increased to 218.58 points in May from 217.43 points in April of 2025. This dataset provides the latest reported value for - Germany House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

House Price Index: Malaysia data was reported at 199.300 1990=100 in Dec 2001. This records a decrease from the previous number of 200.300 1990=100 for Jun 2001. House Price Index: Malaysia data is updated semiannually, averaging 198.900 1990=100 from Jun 1997 (Median) to Dec 2001, with 10 observations. The data reached an all-time high of 217.600 1990=100 in Dec 1997 and a record low of 173.600 1990=100 in Jun 1999. House Price Index: Malaysia data remains active status in CEIC and is reported by Valuation and Property Services Department, Ministry of Finance. The data is categorized under Global Database’s Malaysia – Table MY.EB003: House Price Index: 1990=100. Rebased from 1990=100 to 2000=100 . Replacement Series ID:31884301.