Nahb Housing Market Index in the United States decreased to 34 points in April from 38 points in March of 2026. This dataset provides the latest reported value for - United States Nahb Housing Market Index - 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 the United States (USSTHPI) from Q1 1975 to Q4 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

Housing Index in the United States increased to 440.99 points in January from 440.68 points in December 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 Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q3 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

Housing Index in Hong Kong decreased to 153.67 points in April 12 from 153.68 points in the previous week. This dataset provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Housing Index in the United Kingdom decreased to 516.80 points in March from 519.10 points in February of 2026. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

View monthly updates and historical trends for NAHB/Wells Fargo US Housing Market Index. from United States. Source: National Association of Home Builders…

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.

Housing Index in Sweden decreased to 945 points in the fourth quarter of 2025 from 955 points in the third quarter of 2025. This dataset provides - Sweden House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The January value of the S&P Case Shiller National Home Price Index amounted to 326.61 in 2026. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given year, for example, it means that the house prices increased by 30 percent since 2000. S&P/Case Shiller U.S. home indices – additional informationThe S&P Case Shiller National Home Price Index is calculated on a monthly basis and is based on the prices of single-family homes in nine U.S. Census divisions: New England, Middle Atlantic, North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain and Pacific. The index is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The index illustrates the trend of home prices and can be helpful during house purchase decisions. When house prices are rising, a house buyer might want to speed up the house purchase decision as the transaction costs can be much higher in the future. The S&P Case Shiller National Home Price Index has been on the rise since 2011.The S&P Case Shiller National Home Price Index is one of the indices included in the S&P/Case-Shiller Home Price Index Series. Other indices are the S&P/Case Shiller 20-City Composite Home Price Index, the S&P/Case Shiller 10-City Composite Home Price Index and twenty city composite indices.

Analyze European housing market trends with this clean, beginner-friendly dataset featuring quarterly price indices for 35 countries and regions from Q4 2022 to Q3 2025. Sourced directly from Eurostat's official statistics, this dataset provides reliable economic indicators for real estate analysis, forecasting, and comparative studies.

What's Inside: • 417 records spanning 12 quarters of housing market data • 35 European countries including all EU members, EEA nations, and key markets • Housing Price Index (baseline 2015=100) tracking property value changes • Quarterly and year-over-year percentage changes for trend analysis • Country classifications: EU membership and Eurozone participation status • Pre-calculated metrics including total price change since 2015

Ideal For: ✓ Data science students learning time series analysis ✓ Economists studying European real estate markets ✓ Analysts comparing housing trends across countries ✓ Forecasting models and predictive analytics ✓ Visualization projects and dashboard creation

Key Features: - Clean, structured CSV format ready for immediate analysis - Descriptive column names requiring no preprocessing - Multiple analytical perspectives (indices, growth rates, comparisons) - Documented data quality indicators - Comprehensive data dictionary included

Data Source: Official Eurostat database (TEICP270 - House price index, quarterly data), last updated January 9, 2026. All data validated through the European Statistical System.

Perfect for beginners exploring economic data analysis, intermediate analysts conducting comparative studies, or advanced users building sophisticated forecasting models. No complex cleaning required - download and start analyzing immediately!

KEYWORDS (Primary - High Search Volume): housing prices, european real estate, price index, eurostat data, housing market trends, quarterly data, eu housing, real estate analysis, economic indicators, time series data

KEYWORDS (Secondary - Long-tail SEO): european housing price index, eurostat housing data, eu real estate trends 2022-2025, housing market analysis europe, quarterly housing statistics, eurozone property prices, beginner data analysis dataset, clean economic data, housing price forecasting, european property market data

KEYWORDS (AEO - Answer Engine Optimization): what is european housing price index, how to analyze housing market trends, european real estate data for beginners, housing price comparison across eu countries, quarterly housing statistics europe, eurostat housing data explained

TAGS (Kaggle Platform - 20 max):

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CATEGORY: Primary: Economics & Finance Secondary: Real Estate & Housing Tertiary: European Statistics

TARGET AUDIENCE: - Skill Level: Beginner to Intermediate - Roles: Data Scientists, Analysts, Students, Economists, Researchers - Use Cases: Learning, Analysis, Forecasting, Visualization, Research

SEARCH INTENT KEYWORDS (User Queries): "european housing data csv" "housing price index dataset" "eurostat data kaggle" "european real estate analysis dataset" "beginner economic data" "housing market trends europe" "quarterly economic indicators" "eu housing statistics" "real estate forecasting data" "clean economics dataset"

COMPETITIVE ADVANTAGES (Why choose this dataset): 1. Official Eurostat source - highly credible 2. Pre-cleaned and beginner-friendly format 3. Multiple analytical metrics in one dataset 4. Recent data through Q3 2025 5. Comprehensive documentation included 6. Country classification features (EU/Eurozone) 7. Ready for immediate analysis - no preprocessing needed 8. Suitable for multiple skill levels

DATA HIGHLIGHTS (For Featured Snippets): • Time Period: Q4 2022 to Q3 2025 (12 quarters) • Countries: 35 European nations and regions • Records: 417 data points • Metrics: 12 variables including price indices and growth rates • Format: Clean CSV with descriptive column names • Source: Eurostat (TEICP270) • Update Frequency: Quarterly • License: Open data with attribution

SOCIAL MEDIA SNIPPETS:

Twitter/X (280 characters): 📊 New Dataset: European Housing Price Index (2022-2025) ✅ 35 countries, 12 quarters ✅ Eurostat official data ✅ Beginner-friendly format Perfect for #DataScience learning & #RealEstate analysis!

OpenData #Economics

LinkedIn: Excited to share a comprehensive European Housing Price Index dataset perfect for analysts and students! Featuring quarterly data from 35 countries (Q4 2022 - Q3 2025), sourced from official Eurostat statistics. Clean, documented, and ready for immediate analysis. Ideal for trend analysis, forecasting, and comparative studies. #Da...

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 second quarter of 2023. In the second quarter of 2025, the index reached ***** points. This represents a reversal of the upward trend that had characterized the housing market for roughly a decade. Likewise, real house prices in emerging economies declined after reaching a high of ***** points in the third quarter of 2021. 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 2025. Other countries that recorded a two-digit growth include North Macedonia and Russia. When accounting for inflation, the three countries with the fastest growing residential prices in early 2025 were North Macedonia, Portugal, and Bulgaria.

This comprehensive dataset, titled "US Housing Market and Economic Indicators (2024 Forecast Data)", serves as a robust analytical tool for professionals, researchers, and enthusiasts interested in understanding and forecasting trends in the United States housing market and broader economic landscape as they pertain to the year 2024. The collection is meticulously curated to provide a holistic view of the interplay between real estate dynamics and key economic indicators.

Key Components:

CPIAUCSL.csv: Tracks the Consumer Price Index for All Urban Consumers, a critical measure of inflation. CSUSHPINSA.csv: Contains the S&P/Case-Shiller U.S. National Home Price Index data, offering insights into national home value trends. EXHOSLUSM495S.csv: Provides data on existing home sales, reflecting housing market activity. FEDFUNDS.csv: Includes data on the Federal Funds Rate, an important economic indicator influencing mortgage rates. HPI_master (1).csv: The comprehensive House Price Index from FHFA, detailing price changes in single-family homes. MORTGAGE30US.csv & PMMS_history.csv: These files present historical data on 30-year fixed mortgage rates, essential for understanding financing trends. historicalweeklydata (1).xlsx: A compilation of weekly data providing a more granular view of market fluctuations. Applications: This dataset is invaluable for:

Conducting predictive analysis and forecasting in real estate. Understanding the impact of economic indicators on housing markets. Academic research focusing on economic and housing trends. Real estate market analysis for investment and policy-making. Advantages:

Comprehensive Coverage: Spanning various critical economic and housing market indicators. Historical Context: Offering a historical perspective essential for trend analysis and forecasting. Diverse Applications: Suitable for a wide range of analyses, from academic research to investment strategies. This dataset is a one-stop resource for anyone looking to delve deep into the dynamics of the US housing market and its correlation with broader economic trends, particularly with an eye towards 2024 projections.

Graph and download economic data for S&P Cotality Case-Shiller CA-San Francisco Home Price Index (SFXRSA) from Jan 1987 to Dec 2025 about San Francisco, CA, HPI, housing, price index, indexes, price, and USA.

The quarterly Nationwide house price index for all houses in the United Kingdom (UK) exceeded 14,000 index points in the second quarter of 2025. The index shows the development of housing prices, with 1952 used as a baseline year. An index value of 14,425.6 implies a price increase of 14,000 percent between 1952 and 2025.

Dataset Overview

This dataset provides historical housing price indices for the United States, covering a span of 20 years from January 2000 onwards. The data includes housing price trends at the national level, as well as for major metropolitan areas such as San Francisco, Los Angeles, New York, and more. It is ideal for understanding how housing prices have evolved over time and exploring regional differences in the housing market.

Why This Dataset?

The U.S. housing market has experienced significant shifts over the last two decades, influenced by economic booms, recessions, and post-pandemic recovery. This dataset allows data enthusiasts, economists, and real estate professionals to analyze long-term trends, make forecasts, and derive insights into regional housing markets.

What’s Included?

Time Period: January 2000 to the latest available data (specific end date depends on the dataset). Frequency: Monthly data. Regions Covered: 20+ U.S. cities, states, and aggregates.

Columns Description

Each column represents the housing price index for a specific region or aggregate, starting with a date column:

Date: Represents the date of the housing price index measurement, recorded with a monthly frequency. U.S. National: The national-level housing price index for the United States. 20-City Composite: The aggregate housing price index for the top 20 metropolitan areas in the U.S. CA-San Francisco: The housing price index for San Francisco, California. CA-Los Angeles: The housing price index for Los Angeles, California. WA-Seattle: The housing price index for Seattle, Washington. NY-New York: The housing price index for New York City, New York. Additional Columns: The dataset includes more columns with housing price indices for various U.S. cities, which can be viewed in the full dataset preview.

Potential Use Cases

Time-Series Analysis: Investigate long-term trends and patterns in housing prices. Forecasting: Build predictive models to forecast future housing prices using historical data. Regional Comparisons: Analyze how housing prices have grown in different cities over time. Economic Insights: Correlate housing prices with economic factors like interest rates, GDP, and inflation.

Who Can Use This Dataset?

This dataset is perfect for:

Data scientists and machine learning practitioners looking to build forecasting models. Economists and policymakers analyzing housing market dynamics. Real estate investors and analysts studying regional trends in housing prices.

Example Questions to Explore

Which cities have experienced the highest housing price growth over the last 20 years? How do housing price trends in coastal cities (e.g., Los Angeles, Miami) compare to midwestern cities (e.g., Chicago, Detroit)? Can we predict future housing prices using time-series models like ARIMA or Prophet?

View monthly updates and historical trends for US House Price Index MoM. from United States. Source: Federal Housing Finance Agency. Track economic data w…

The U.S. housing market has slowed, after ** consecutive years of rising home prices. In 2021, house prices surged by an unprecedented ** percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2025. In 2025, home prices increased by **** percent. That was lower than the long-term average of *** percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of **** percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2025, the median sales price of an existing single-family home reached a record high of over ******* U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price since 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

Graph and download economic data for All-Transactions House Price Index for California (CASTHPI) from Q1 1975 to Q4 2025 about appraisers, HPI, CA, housing, price index, indexes, price, and USA.

A dataset of indicators of the state of the UK housing market This is a collection of indicators from diverse sources on different aspects of the state of the UK housing market. Some indicators are updated monthly, others quarterly. Publication of this dataset began in August 2012. The choice of which indicators are included in this dataset may be subject to revision, but the intention is to update the dataset regularly as new data become available. Historical time series have been added for some (but not yet all) of the indicators.