House prices grew year-on-year in most states in the U.S. in the first quarter of 2025. Hawaii was the only exception, with a decline of **** percent. The annual appreciation for single-family housing in the U.S. was **** percent, while in Rhode Island—the state where homes appreciated the most—the increase was ******percent. How have home prices developed in recent years? House price growth in the U.S. has been going strong for years. In 2025, the median sales price of a single-family home exceeded ******* U.S. dollars, up from ******* U.S. dollars five years ago. One of the factors driving house prices was the cost of credit. The record-low federal funds effective rate allowed mortgage lenders to set mortgage interest rates as low as *** percent. With interest rates on the rise, home buying has also slowed, causing fluctuations in house prices. Why are house prices growing? Many markets in the U.S. are overheated because supply has not been able to keep up with demand. How many homes enter the housing market depends on the construction output, whereas the availability of existing homes for purchase depends on many other factors, such as the willingness of owners to sell. Furthermore, growing investor appetite in the housing sector means that prospective homebuyers have some extra competition to worry about. In certain metros, for example, the share of homes bought by investors exceeded ** percent in 2025.

Housing Index in China decreased by 2.80 percent in July from -3.20 percent in June of 2025. This dataset provides the latest reported value for - China Newly Built House Prices YoY Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In the fourth quarter of 2024, the Bulgaria, Spain, and Portugal registered the highest house price increase in real terms (adjusted for inflation). In Bulgaria, house prices outgrew inflation by nearly ** percent. When comparing the nominal price change, which does not take inflation into consideration, the average house price growth was even higher.

Meanwhile, many countries experienced declining prices, with Turkey recording the biggest decline, at ** percent. That has to do with a broader trend of a slowing global housing market.

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.

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.

Key information about House Prices Growth

• US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

CEIC calculates House Prices Growth from quarterly House Price Index. Federal Housing Finance Agency provides House Price Index with base January 1991=100.

Residential Property Prices in China decreased 7.52 percent in March of 2025 over the same month in the previous year. This dataset includes a chart with historical data for China Residential Property Prices.

House Price Index MoM in the United States decreased by 0.20 percent in May from -0.30 percent in April of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index MoM.

Housing Index in Hong Kong increased to 138.63 points in August 10 from 137.19 points in the previous week. This dataset provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset provides a comprehensive overview of new housing price indexes in Canada. The data is sourced from a reliable statistical survey, offering a detailed breakdown of housing prices across different components such as total house and land, house only, and land only. The dataset is structured to include key metrics such as geographical location, price index classification, and specific price values, providing a robust foundation for analyzing housing price dynamics within the country.

Key Features

• Price Index Metrics: The dataset includes price indexes for total house and land, house only, and land only, providing a complete picture of housing price dynamics across different components.
• Geographical Focus: Data is specific to Canada, providing insights into national housing price trends and patterns.
• Unit of Measurement: Information is presented in index units (201612=100), allowing for straightforward analysis and comparison.
• Temporal Precision: The data is time-stamped for January 1981, ensuring relevance and accuracy for temporal analysis.

Potential Uses

• Real Estate Market Analysis: Assist in understanding the housing price dynamics in Canada, which is crucial for real estate market forecasting and planning.
• Investment Decisions: Provide insights into optimal investment strategies for real estate in various regions.
• Economic Policy: Support policymakers in monitoring and ensuring compliance with housing market trends and economic standards.
• Market-Specific Insights: Evaluate the impact of housing price trends on specific regions and potential growth or decline areas.
• Strategic Planning: Inform strategic planning for real estate developers and policymakers by providing a clear snapshot of current housing price levels and trends.

This research data file contains the necessary software and the dataset for estimating the missing prices of house units. This approach combines several machine learning techniques (linear regression, support vector regression, the k-nearest neighbors and a multi-layer perceptron neural network) with several dimensionality reduction techniques (non-negative factorization, recursive feature elimination and feature selection with a variance threshold). It includes the input dataset formed with the available house prices in two neighborhoods of Teruel city (Spain) in November 13, 2017 from Idealista website. These two neighborhoods are the center of the city and “Ensanche”.

This dataset supports the research of the authors in the improvement of the setup of agent-based simulations about real-estate market. The work about this dataset has been submitted for consideration for publication to a scientific journal.

The open source python code is composed of all the files with the “.py” extension. The main program can be executed from the “main.py” file. The “boxplotErrors.eps” is a chart generated from the execution of the code, and compares the results of the different combinations of machine learning techniques and dimensionality reduction methods.

The dataset is in the “data” folder. The input raw data of the house prices are in the “dataRaw.csv” file. These were shuffled into the “dataShuffled.csv” file. We used cross-validation to obtain the estimations of house prices. The outputted estimations alongside the real values are stored in different files of the “data” folder, in which each filename is composed by the machine learning technique abbreviation and the dimensionality reduction method abbreviation.

Key information about House Prices Growth

• China house prices dropped 4.1% YoY in Dec 2024, following a decrease of 4.8% YoY in the previous month.
• YoY growth data is updated monthly, available from Mar 1999 to Dec 2024, with an average growth rate of 7.4%.
• House price data reached an all-time high of 25.0% in Feb 2010 and a record low of -12.6% in Apr 1999.

CEIC calculates House Prices Growth from monthly Average Residential Property Price per Square Meter. The National Bureau of Statistics provides year-to-date Average Residential Property Price per Square Meter in local currency.

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.

Turkey experienced the highest annual change in house prices in 2024, followed by Bulgaria and Russia. In the fourth quarter of the year, the nominal house price in Turkey grew by **** percent, while in Bulgaria and Russia, the increase was ** and ** percent, respectively. Meanwhile, many countries saw prices fall throughout the year. That has to do with an overall cooling of the global housing market that started in 2022. When accounting for inflation, house price growth was slower, and even more countries saw the market shrink.

Key information about House Prices Growth

• Hong Kong SAR (China) house prices dropped 6.4% YoY in Jan 2025, following a decrease of 7.2% YoY in the previous month.
• YoY growth data is updated monthly, available from Jan 1994 to Jan 2025, with an average growth rate of 3.4%.
• House price data reached an all-time high of 51.8% in May 1997 and a record low of -44.7% in Oct 1998.

CEIC calculates House Prices Growth from Property Price Index of Domestic Premises. Rating and Valuation Department provides Property Price Index of Domestic Premises with base 1999=100.

Key information about House Prices Growth

• Serbia house prices grew 0.7% YoY in Jun 2024, following a decrease of 5.0% YoY in the previous half a year.
• YoY growth data is updated half a yearly, available from Jun 1995 to Jun 2024, with an average growth rate of 9.7%.
• House price data reached an all-time high of 116.3% in Dec 1995 and a record low of -9.0% in Dec 2019.

CEIC calculates House Prices Growth from semiannual Average Price of Dwellings per Square Meter. The Statistical Office of the Republic of Serbia provides Average Price of Dwellings per Square Meter in local currency. House Prices Growth covers New Construction only.

Key information about House Prices Growth

• France house prices dropped 3.5% YoY in Sep 2024, following a decrease of 4.6% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2001 to Sep 2024, with an average growth rate of 3.8%.
• House price data reached an all-time high of 15.4% in Jun 2005 and a record low of -8.0% in Jun 2009.

CEIC calculates House Prices Growth from quarterly House Price Index. National Institute of Statistics and Economic Studies provides House Price Index with base 2015=100. House Prices Growth covers Metropolitan France area only.

Context

This dataset was actually made to check the correlations between a housing price index and its crime rate. Rise and fall of housing prices can be due to various factors with obvious reasons being the facilities of the house and its neighborhood. Think of a place like Detroit where there are hoodlums and you don't want to end up buying a house in the wrong place. This data set will serve as historical data for crime rate data and this in turn can be used to predict whether the housing price will rise or fall. Rise in housing price will suggest decrease in crime rate over the years and vice versa.

Content

The headers are self explanatory. index_nsa is the housing price non seasonal index.

Acknowledgements

Thank you to my team who helped in achieving this.

Inspiration

https://www.kaggle.com/marshallproject/crime-rates https://catalog.data.gov/dataset/fhfa-house-price-indexes-hpis Data was collected from these 2 sources and merged to get the resulting dataset.

Single Family Home Prices in the United States increased to 435300 USD in June from 423700 USD in May of 2025. This dataset provides - United States Existing Single Family Home Prices- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.