ttd22/house-price dataset hosted on Hugging Face and contributed by the HF Datasets community

Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q2 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

House Price Index YoY in the United States decreased to 2.60 percent in June from 2.90 percent in May of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

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.

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

Global house prices experienced a significant shift in 2022, with advanced economies seeing a notable decline after a prolonged period of growth. The real house price index (adjusted for inflation) for advanced economies peaked at nearly *** index points in early 2022 before falling to around ****** points by the fourth quarter of 2024. This represents a reversal of the upward trend that had characterized the housing market for roughly a decade. Conversely, real house prices in emerging economies resumed growing, after a brief correction in the second half of 2022. What is behind the slowdown? Inflation and slow economic growth have been the primary drivers for the cooling of the housing market. Secondly, the growing gap between incomes and house prices since 2012 has decreased the affordability of homeownership. Last but not least, homebuyers in 2024 faced dramatically higher mortgage interest rates, further contributing to worsening sentiment and declining transactions. Some markets continue to grow While many countries witnessed a deceleration in house price growth in 2022, some markets continued to see substantial increases. Turkey, in particular, stood out with a nominal increase in house prices of over ** percent in the first quarter of 2024. Other countries that recorded a two-digit growth include Russia and the United Arab Emirates. When accounting for inflation, the three countries with the fastest growing residential prices in early 2024 were the United Arab Emirates, Poland, and Bulgaria.

Dataset

This dataset was created by abdo elsayed

Released under Apache 2.0

Contents

New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).

Housing Index in Italy decreased to 113.30 points in the first quarter of 2025 from 113.50 points in the fourth quarter of 2024. This dataset provides - Italy House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Housing Index in Portugal increased to 247.05 points in the first quarter of 2025 from 235.68 points in the fourth quarter of 2024. This dataset provides - Portugal House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In the second quarter of 2025, Mexicans paid on average **** million Mexican pesos to acquire a residential property. Compared to the same period of the previous year, the nominal price increased by nearly ******* pesos. Mexico City registered the highest price for this type of property, with an average exceeding ***** million pesos per residential unit. Housing tenureCompared to renting or borrowing, house ownership is the favored form of housing tenure in Mexico. In 2020, nearly ** percent of all Mexican households owned their homes, while only ** percent rented them. Moreover, roughly ** percent of the owned households in the country were completely paid off, while the remaining households were still in the payment process. Mortgages in MexicoMortgages, or homeownership loans, are debt instruments used by individuals to acquire real estate property, without needing to pay the total cost upfront. Mortgages are universally common and important for Mexico’s residential real estate industry. In 2024, almost ********mortgage loans were granted in Mexico, which was the lowest amount the country had seen in fifteen years. From the mortgage value granted that year, approximately ** percent came from private banks.

Using 2015 prices as a baseline, the cost of housing in selected developed and emerging economies was highest in Germany as of the last quarter of 2023. Housing costs in the country increased since the second quarter of 2020, reaching an index value of *** in the final quarter of 2023.

The house price index in Germany increased steadily from 2016 to 2022, followed by a decline until the first quarter of 2024. The index amounted to 100 in 2015 and, at its peak in the second quarter of 2022, exceeded 166 index points, meaning that house prices had risen by 66 percent during that period. Among the leading residential real estate markets in Germany, Munich had the highest square meter price for apartments.

The FHFA House Price Index (FHFA HPI®) is a comprehensive collection of public, freely available house price indexes that measure changes in single-family home values based on data from all 50 states and over 400 American cities that extend back to the mid-1970s.

Summary of UK House Price Index (HPI) price statistics covering England, Scotland, Wales and Northern Ireland. Full UK HPI data are available on GOV.UK.

Overview: This dataset was collected and curated to support research on predicting real estate prices using machine learning algorithms, specifically Support Vector Regression (SVR) and Gradient Boosting Machine (GBM). The dataset includes comprehensive information on residential properties, enabling the development and evaluation of predictive models for accurate and transparent real estate appraisals.Data Source: The data was sourced from Department of Lands and Survey real estate listings.Features: The dataset contains the following key attributes for each property:Area (in square meters): The total living area of the property.Floor Number: The floor on which the property is located.Location: Geographic coordinates or city/region where the property is situated.Type of Apartment: The classification of the property, such as studio, one-bedroom, two-bedroom, etc.Number of Bathrooms: The total number of bathrooms in the property.Number of Bedrooms: The total number of bedrooms in the property.Property Age (in years): The number of years since the property was constructed.Property Condition: A categorical variable indicating the condition of the property (e.g., new, good, fair, needs renovation).Proximity to Amenities: The distance to nearby amenities such as schools, hospitals, shopping centers, and public transportation.Market Price (target variable): The actual sale price or listed price of the property.Data Preprocessing:Normalization: Numeric features such as area and proximity to amenities were normalized to ensure consistency and improve model performance.Categorical Encoding: Categorical features like property condition and type of apartment were encoded using one-hot encoding or label encoding, depending on the specific model requirements.Missing Values: Missing data points were handled using appropriate imputation techniques or by excluding records with significant missing information.Usage: This dataset was utilized to train and test machine learning models, aiming to predict the market price of residential properties based on the provided attributes. The models developed using this dataset demonstrated improved accuracy and transparency over traditional appraisal methods.Dataset Availability: The dataset is available for public use under the [CC BY 4.0]. Users are encouraged to cite the related publication when using the data in their research or applications.Citation: If you use this dataset in your research, please cite the following publication:[Real Estate Decision-Making: Precision in Price Prediction through Advanced Machine Learning Algorithms].

Housing Index in Romania increased to 161.75 points in the first quarter of 2025 from 158.36 points in the fourth quarter of 2024. This dataset provides - Romania House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The average house price in the UK increased by 3.9 percent year-on-year in May 2025, according to the monthly house price index. The index is calculated using data on housing transactions and measures the development of house prices, with 2023 chosen as a base year when the index value was set to 100. In May 2025, the index reached 103 index points, meaning that house prices have grown by over three percent since January 2023.The house price index is an important measure for the residential real estate market. It is used to show changes in the value of residential properties in England, Scotland, Wales, and Northern Ireland. This upward trend in house price index, and therefore the value of residential properties, has also been observed by other measurers of house price index in the United Kingdom.

House Price Index MoM in Canada decreased by 0.10 percent in July from -0.20 percent in June of 2025. This dataset includes a chart with historical data for Canada House Price Index MoM.

All-Transactions House Price Index for Ohio was 493.22000 Index 1980 Q1=100 in January of 2025, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for Ohio reached a record high of 493.22000 in January of 2025 and a record low of 64.43000 in July of 1975. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for Ohio - last updated from the United States Federal Reserve on September of 2025.