Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Excluding apartments, measured in € Figure changed on the 27/6/16 as revised data received from the Local authority

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).

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.

House Price Index YoY in the United States decreased to 2.80 percent in May from 3.20 percent in April of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

Graph and download economic data for All-Transactions House Price Index for the New England Census Division (CNEWSTHPI) from Q1 1975 to Q1 2025 about New England Census Division, appraisers, HPI, housing, price index, indexes, price, and USA.

Housing Index in Colombia increased to 147.29 points in the first quarter of 2025 from 142.37 points in the fourth quarter of 2024. This dataset provides - Colombia House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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].

Key information about House Prices Growth

• Canada house prices grew 0.1% YoY in Jan 2025, following an increase of 0.1% YoY in the previous month.
• YoY growth data is updated monthly, available from Jan 1982 to Jan 2025, with an average growth rate of 1.8%.
• House price data reached an all-time high of 16.5% in Mar 1989 and a record low of -9.7% in Apr 1991.

CEIC calculates House Prices Growth from monthly House Price Index. Statistics Canada provides House Price Index with base December 2016=100. House Price Index covers New Housing only.

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

The Nationwide index for newly built houses increased overall during the period under observation, reaching 14,869.7 index points as of the second quarter of 2025. The baseline year for the index was 1952 when the index value was set to 100. According to the source, the average newly built house in 1952 cost 2,107 British pounds.

All-Transactions House Price Index for New Jersey was 899.95000 Index 1980 Q1=100 in January of 2025, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for New Jersey reached a record high of 899.95000 in January of 2025 and a record low of 59.22000 in April of 1975. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for New Jersey - last updated from the United States Federal Reserve on August of 2025.

House Price Index MoM in China decreased to -0.30 percent in June from -0.20 percent in May of 2025. This dataset includes a chart with historical data for China House Price Index MoM.

As compared to the previous year, the median price for home sales in Manhattan, New York decreased in the first quarter of 2023. In that quarter, the home price reached the median of **** million U.S. dollars, down from *** million U.S. dollars the year before. In other New York boroughs, such as Brooklyn, and Queens, and Bronx, the median home prices followed the opposite trend.

Graph and download economic data for Median Sales Price for New Houses Sold in the United States (MSPNHSUSA) from 1963 to 2024 about new, sales, median, housing, price, and USA.

After a period of rapid increase, house price growth in the UK has moderated. In 2025, house prices are forecast to increase by ****percent. Between 2025 and 2029, the average house price growth is projected at *** percent. According to the source, home building is expected to increase slightly in this period, fueling home buying. On the other hand, higher borrowing costs despite recent easing of mortgage rates and affordability challenges may continue to suppress transaction activity. Historical house price growth in the UK House prices rose steadily between 2015 and 2020, despite minor fluctuations. In the following two years, prices soared, leading to the house price index jumping by about 20 percent. As the market stood in April 2025, the average price for a home stood at approximately ******* British pounds. Rents are expected to continue to grow According to another forecast, the prime residential market is also expected to see rental prices grow in the next five years. Growth is forecast to be stronger in 2025 and slow slightly until 2029. The rental market in London is expected to follow a similar trend, with Outer London slightly outperforming Central London.

Housing Index in Chile increased to 157.40 points in March from 154.50 points in February of 2025. This dataset provides - Chile House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The House Price Index (HPI) measures the evolution of market prices of all residential properties that are purchased by households (flats, detached houses, terraced houses, etc.), regardless if bought for own-occupancy or as an investment. The House Price Index for new dwellings in Italy peaked in the second quarter of 2024 at almost ***. Across different regions, Trentino South-Tyrol had the most expensive housing.

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.

House prices in the San Antonio-New Braunfels metropolitan area have doubled since 2011. In 2023, the median house price reached approximately ******* U.S. dollars, down by *** percent from 2022. This was below the average house price for Texas.