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).

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

House Price Index YoY in the United States decreased to 3 percent in April from 3.90 percent in March 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.

In Russia, during 2018, housing prices increased steadily throughout the construction process. Starting from about 55.7 thousand Russian rubles per square meter in the first quarter, they exceeded 61 thousand Russian rubles in the eighth quarter of construction on average.

Out of a total of *** million housing units in New York City in 2021, approximately ******* homes had housing costs between ** and ** percent of the household budget. New York City is notoriously known for its shortage of affordable housing: Overall, for a large percentage of New York City residents, housing costs exceeded ** percent.

This table contains 174 series, with data for years 1981 - 1997 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (37 items: Canada; Atlantic Region; Halifax; Nova Scotia; St. John's; Newfoundland and Labrador ...), New housing price indexes (3 items: Total (house and land);Land only; House only ...), Index base period (2 items: 1986=100;1981=100 ...).

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 July of 2025.

Housing Starts in the United States decreased to 1256 Thousand units in May from 1392 Thousand units in April of 2025. This dataset provides the latest reported value for - United States Housing Starts - 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 Queens County, NY (ATNHPIUS36081A) from 1975 to 2024 about Queens County, NY; New York; NY; HPI; housing; price index; indexes; price; and USA.

In June 2024, the Russian capital remained an irreplaceable leader among the cities with over one million inhabitants by price of primary housing per square meter countrywide. One square meter in Moscow's primary housing market cost ******* Russian rubles in that month.

Monthly new housing price index at the Canada level. The index is released on a monthly basis. (Index 2007=100) The index includes data for the current period, as well as those for the last four periods.

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].

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.

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

The U.S. housing market has seen significant price growth since 2011, with the median sales price of existing single-family homes reaching a record high of ******* U.S. dollars in 2024. This represents a substantial increase of ******* over the past five years, highlighting the rapid appreciation of home values across the country. The trend of rising prices can also be observed in the new homes sold. Regional variations and housing shortage While the national median price provides a broad overview, regional differences in home prices are notable. The West remains the most expensive region, with prices twice higher than in the more affordable Midwest. This disparity persists despite efforts to increase housing supply. In 2024, approximately ******* building permits for single-family housing units were granted, showing a slight increase from previous years but still well below the 2005 peak of **** million permits. The ongoing housing shortage continues to drive prices upward across all regions. Market dynamics and future outlook The number of existing home sales has plummeted since 2020, reflecting the growing cost of homeownership. Factors such as high home prices, unfavorable economic conditions, and aggressive increases in mortgage rates have contributed to affordability challenges for many potential homebuyers. Despite these challenges, forecasts suggest a potential recovery in the housing market by 2025, though transaction volumes are expected to remain below long-term averages.

Housing Index in Colombia increased to 142.37 points in the fourth quarter of 2024 from 139.93 points in the third quarter of 2024. This dataset provides - Colombia House Price Index - 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.

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.