Single Family Home Prices in the United States decreased to 422600 USD in August from 425700 USD in July of 2025. This dataset provides - United States Existing Single Family Home Prices- actual values, historical data, forecast, chart, statistics, economic calendar and news.

About Dataset

Source

The source of this dataset is REDFIN Data Center. To download the latest dataset available, please go to: https://www.redfin.com/news/data-center/

They also provide a page with the definitions for each metric used here: https://www.redfin.com/news/data-center-metrics-definitions/

For more informaton on Data and Data Quality, please visit: https://www.redfin.com/about/data-quality-on-redfin Reading the Data

The data is a .tsv format and can be imported using pandas as follows:

df = pd.read_csv("weekly_housing_market_data_most_recent.tsv000", sep='\t')

MOST RECENT DATAPOINT: 2022-07-11

Housing Index in China decreased by 2.50 percent in August from -2.80 percent in July 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.

Housing Index in the United States decreased to 433.40 points in July from 433.90 points in June of 2025. This dataset provides the latest reported value for - United States House Price Index MoM Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for All-Transactions House Price Index for Virginia Beach-Norfolk-Newport News, VA-NC (MSA) (ATNHPIUS47260Q) from Q3 1976 to Q2 2025 about Virginia Beach, VA, NC, appraisers, HPI, housing, price index, indexes, price, and USA.

From 2007 to 2016, the EU prefabricated buildings market showed a mixed trend pattern. A significant drop in 2008 (79% Y-o-Y) was followed by a gradual increase over the next three years until it plunged again in 2013 (91% Y-o-Y).

Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Real Estate Markets (EMVMACRORE) from Jan 1985 to Aug 2025 about volatility, uncertainty, equity, real estate, and USA.

Overview with Chart & Report: House Price Index y/y measures average changes in the value of single-family homes in the US in the given month compared to the same period of the previous year. Higher housing prices can strengthen

Housing Index in Hong Kong decreased to 139.94 points in September 28 from 140.25 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 analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Understanding the Dynamics and Implications of a Housing Market Recession

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

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.

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.

Housing Index in the United Kingdom decreased to 514.20 points in September from 515.60 points in August of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Housing Index in Saudi Arabia increased to 105 points in the second quarter of 2025 from 104.90 points in the first quarter of 2025. This dataset provides - Saudi Arabia Housing Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Housing prices and number of transactions by dwelling type.

House sales not at full market value are excluded.

Ownership of this dataset remains with the Communities and Local Government (CLG). Information can only be reproduced if the source is fully acknowledged.

The Land Registry (LR) and CLG have provided these datasets drawn from the Land Register.

Information on outliers, that is transactions involving a very low or very high price, is included so that users can take their impact into account when using the data.

Available for Middle Layer Super Output Area (MSOA).

NOTE: This data has not been updated since 2009.

See more on the ONS NESS website.

Graph and download economic data for All-Transactions House Price Index for Newport News city, VA (ATNHPIUS51700A) from 1975 to 2024 about Newport News City, VA; Virginia Beach; VA; HPI; housing; price index; indexes; price; and USA.

Context

Toronto Home Price Index This Dataset contains in CSV format the monthly housing price information as published by the Toronto Regional Real Estate Board (TRREB) and Canadian Real Estate Association (CREA) as made public via their website and is based on the MLS Home Price Index. https://trreb.ca/index.php/market-news/mls-home-price-index

Content

Location - Neighbourhood in the Greater Toronto Area * Comp - "Comp" stands for composite and takes into account the various types of housing into a single value. * SFDetach - "SFDetach" stands for Single Family Detached Home, or commonly referred to as houses * SFAttach - "SFAttach" stands for Single Family Attached Home * THouse - "THouse" stands for Townhouses * Apart - "Apart" is the abbreviation for Apartments or Condominuims

All prices mentioned under "Benchmark" columns are depicted in Canadian Dollars All YoY Changes are in context of "Percentages"

Acknowledgements

Special thanks goes to TRREB and CREA for publishing updated Housing price information in the Greater Toronto Area. https://trreb.ca/index.php/market-news/mls-home-price-index

Housing Index in Canada decreased to 122.90 points in August from 123.30 points in July of 2025. This dataset provides - Canada New Housing Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2016, the global prefab housing imports stood at 5.3M tons, coming up by 3% against the previous year figure. Overall, prefab housing imports continue to indicate a relatively flat trend pattern....