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 Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

About ** percent of home buyers in the United States in 2021 purchased homes that cost ******* U.S. dollars or more. The share of home buyers generally reduced as the house prices decreased. The largest share of purchases fell in the ******* to ******* and ******* to ******* price classes, which was below the national average sales price for existing homes.

The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting ****** U.S. dollars per square foot in 2024. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

Key information about House Prices Growth

• US house prices grew 3.3% YoY in Sep 2025, following an increase of 4.1% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Sep 2025, with an average growth rate of -12.4%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

This is the median house price for residential property sales (all dwellings sold and registered) in a given period of four consecutive quarters, in the area. They are calculated using open data from the HM Land Registry (LR), a source of comprehensive record-level administrative data on property transactions.

They are updated twice a year, in spring and autumn. The LR Price Paid data are comprehensive in that they capture changes of ownership for individual residential properties which have sold for full market value and cover both cash sales and those involving a mortgage.

The median is the value determined by putting all the house sales for a given year, area and type in order of price and then selecting the price of the house sale which falls in the middle.

Note that a transaction occurs when a change of freeholder or leaseholder takes place regardless of the amount of money involved, and a property can transact more than once in the time period. The LR records the actual price for which the property changed hands. This will usually be an accurate reflection of the market value for the individual property, but it is not always the case.

In order to generate statistics that more accurately reflect market values, the LR has excluded records of houses that were not sold at market value from the dataset. The remaining data are considered a good reflection of market values at the time of the transaction.

The LR Price Paid data are not adjusted to reflect the mix of houses in a given area. Fluctuations in the types of house that are sold in that area can cause differences between the median transactional value of houses and the overall market value of houses.

Therefore these statistics differ from the new UK House Price Index (HPI) which reports mix-adjusted average house prices and house price indices.

If, for a given year, house type and area there were fewer than 5 sales records in the LR Price Paid data, the house price statistics are not reported.

Data is Powered by LG Inform Plus and automatically checked for new data on the 4th of each month and shows MSOAs (Middle Layer Super Output Areas) at the 2021 Census Geography.

View monthly updates and historical trends for US Existing Single-Family Home Median Sales Price. from United States. Source: National Association of Real…

The average price per square foot of floor space in new single-family houses in North-east, United States increased from 2000 to 2021. In 2021, the average price for a new single-family house in that region was approximately *** U.S. dollars per square foot of floor space.

Context The housing market in Canada has increased tremendously over the past year. This is the dataset contains information on the Canadian housing market from 2021-2022. I think this is a good introductory dataset for learning data visualization and analyzing tabular data.

Content The data is specific to the cost of detached houses in Canada based on data provided by several provincial realtors. There are two datasets. The first is the average home price in Canadian provinces. The columns are as follows,

Area - Canadian province and/or territory Price January 2022 - mean house price in the province as of January 2022 (in CAD) Price January 2021 - mean house price in the province as of January 2021 (in CAD) y/y % change - percent change in mean house price between 2021 and 2022

The second is the average home price in major Canadian cities. The columns are as follows, Major city Province Price 2021-2022 - mean house price in the city between 2021 and 2022 (in CAD) Population

Acknowledgments This data was initially featured in Wowa Canadian House Market reports.

China Property Price: YTD Avg: Overall data was reported at 9,510.153 RMB/sq m in Mar 2025. This records a decrease from the previous number of 9,547.228 RMB/sq m for Feb 2025. China Property Price: YTD Avg: Overall data is updated monthly, averaging 5,157.474 RMB/sq m from Dec 1995 (Median) to Mar 2025, with 352 observations. The data reached an all-time high of 11,029.538 RMB/sq m in Feb 2021 and a record low of 599.276 RMB/sq m in Feb 1996. China Property Price: YTD Avg: Overall data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Price – Table CN.PD: NBS: Property Price: Monthly.

Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

Peru Average House Price: Lima Metropolitan data was reported at 391,668.000 USD in 2023. This records an increase from the previous number of 20,810.118 USD for 2022. Peru Average House Price: Lima Metropolitan data is updated yearly, averaging 167,674.500 USD from Jun 2006 (Median) to 2023, with 18 observations. The data reached an all-time high of 857,542.857 USD in 2021 and a record low of 20,810.118 USD in 2022. Peru Average House Price: Lima Metropolitan data remains active status in CEIC and is reported by National Institute of Statistics and Informatics. The data is categorized under Global Database’s Peru – Table PE.EB001: House Price.

Monthly sale price of single-family homes in Connecticut, 2001 through the present. Data updated monthly by the Connecticut Housing Finance Authority and tracked in the following dashboard: https://www.chfa.org/about-us/ct-monthly-housing-market-dashboard/.

Key information about House Prices Growth

• Belarus house prices dropped 2.5% YoY in Dec 2021, following a decrease of 0.5% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2010 to Dec 2021, with an average growth rate of 14.6%.
• House price data reached an all-time high of 169.0% in Dec 2011 and a record low of -12.1% in Mar 2017.

House Price Index YoY in the United States decreased to 1.70 percent in September from 2.40 percent in August of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

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Description:

A simple yet challenging project, to predict the housing price based on certain factors like house area, bedrooms, furnished, nearness to mainroad, etc. The dataset is small yet, it's complexity arises due to the fact that it has strong multicollinearity. Can you overcome these obstacles & build a decent predictive model?

Acknowledgement:

Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102. Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the sales w.r.t a single & multiple feature.
• Also evaluate the models & compare thier respective scores like R2, RMSE, etc.

Here's a short description of the dataset:

Serial Number: Is just a unique set of digits to identify each transaction

List year: This is the year that the particular property was put up for sale.

Date Recorded: Is the date that the transaction was completed. That is, the year the property was bought.

Town: The town where this property is located.

Address: The property's address.

Assessed Value: How much the property is generally considered to be worth.

Sale Amount: How much the property was actually sold for.

Sales Ratio: The ratio measures how close the selling price of the property is to it's assessed value.

Property Type: What kind of property it is.

Residential Type: If it is a residential property, what type is it.

Years until sold: Number of years before the property was finally sold

This dataset can be used for analysis and even machine learning projects. For those doing analysis, I invite you to try and answer these questions: * Average assessed value of properties from year to year? * Average sale amount of properties from year to year? * Average sales ratio of properties from year to year? * How long, on average, did it take for the different property types to get sold? * How long, on average, did it take for the different residential types to get sold? * Which towns saw the most property sales in 2021?

For those more interested in using this dataset in machine learning projects to forecast future property prices, I invite you also. Let's learn from your work.

Average House Prices in Canada increased to 688800 CAD in October from 687600 CAD in September of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

Graph and download economic data for Housing Inventory: Average Listing Price in Hamilton County, IN (AVELISPRI18057) from Jul 2016 to Nov 2021 about Hamilton County, IN; Indianapolis; listing; IN; average; price; and USA.