House Price Index YoY in the United States decreased to 1.80 percent in December from 2.10 percent in November 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

• India house prices grew 5.7% YoY in Dec 2025, following an increase of 1.7% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2011 to Dec 2025, with an average growth rate of 6.1%.
• House price data reached an all-time high of 30.6% in Mar 2011 and a record low of -11.4% in Sep 2020.

CEIC calculates House Prices Growth from quarterly House Price Index. National Housing Bank provides House Price Index with base 2017-2018=100. House Prices Growth covers Mumbai only. House Prices Growth prior to Q2 2014 is calculated from House Price Index with base 2007=100.

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.

Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q4 2025 about sales, housing, and USA.

Housing Index in the United Kingdom increased to 519.30 points in February from 517.80 points in January of 2026. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q4 2025 about sales, housing, median, and USA.

The data in this dataset is collected from FRED.

I decided to create this dataset while reading the research paper Factors Affecting House Prices in Cyprus: 1988-2008 by Panos Pashardes & Christos S. Savva. This research paper is extremely informative and covers a lot of details regarding the macroeconomics involved in real estate market. So I would recommend you all to go through it once.

NOTE:

This dataset will be updated over a period of time and include the following: - Macroeconomic factors with quarterly, monthly frequencies. - Microeconomic factors such as house type, age, location, size (BR, BA, carpet area/built-up area), facilities, view, disability functions, region, house prices, etc.

NOTE 2:

I recommend you all to check the file in this dataset with the title Housing_Macroeconomic_Factors_US (2).csv, it includes both the supply and demand factors associated with the housing market.

General Defintions:

1. Macroeconomic Factors

• House_Price_Index: House price change according to the index base period set (you can check the date at which this value is 100).
• Stock_Price_Index: Stock price change according to the index base period set (you can check the date at which this value is 100).
• Consumer_Price_Index: The Consumer Price Index measures the overall change in consumer prices based on a representative basket of goods and services over time.
• Population: Population of USA (unit: thousands).
• Unemployment_Rate: Unemployment rate of USA (unit: percentage).
• Real_GDP: GDP with adjusted inflation (Annual version unit: billions of chain 2012 dollars in, Monthly version unit: Annualised change).
• Mortgage_Rate: Interest charged on mortgages (unit: percentage).
• Real_Disposable_Income (Real Disposable Personal Income): Money left from salary after all the taxes are paid (unit: billions of chain 2012 dollars).
• Inflation: Decline in purchasing power over time (unit: percentage). [Forgot to remove this column in Annual version since CPI is one of the measures used to determine inflation].

What can you do with this dataset?

• Perform statistical analysis, find significant features & find the value by which these features affect the house price index (recommend to use a percentage change instead of index).
• Perform multivariate regression and predict the price of houses using microeconomic features (soon).

Thanks! If you like this dataset, I'll appreciate it if you give this dataset a vote! Discussions, suggestions & doubts are always welcome. Happy Learning!!

House Price Index YoY in Ireland increased to 7 percent in January from 6.90 percent in December of 2025. This dataset includes a chart with historical data for Ireland Residential Property Prices YoY.

Key information about House Prices Growth

• Mexico house prices grew 8.9% YoY in Dec 2025, following an increase of 8.9% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2006 to Dec 2025, with an average growth rate of 10.2%.
• House price data reached an all-time high of 11.7% in Mar 2023 and a record low of 2.2% in Jun 2010.

CEIC calculates House Price Growth from quarterly House Price Index. Federal Mortgage Society provides House Price Index with base 2017=100.

Housing Index in China decreased to -3.20 percent in February from -3.10 percent in January of 2026. 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 Canada increased to 121.90 points in February from 121.50 points in January of 2026. This dataset provides - Canada New Housing Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

House Price Index YoY in the United Kingdom increased to 1.30 percent in February from 1 percent in January of 2026. This dataset includes a chart with historical data for the United Kingdom House Price Index YoY.

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.

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

Portugal, Canada, and the Netherlands were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 114.8 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

Dataset Description

This dataset contains information about real estate listings, including various features of properties and their surrounding areas. The data can be used for analysis, prediction, and insights into the real estate market.

Features

• airports_nearest: Distance to the nearest airport in meters
• balcony: Number of balconies
• ceiling_height: Ceiling height in meters
• cityCenters_nearest: Distance to the city center in meters
• days_exposition: Number of days the listing was active (from publication to removal)
• first_day_exposition: Publication date
• floor: Floor number of the property
• floors_total: Total number of floors in the building
• is_apartment: Boolean indicating if the property is an apartment
• kitchen_area: Kitchen area in square meters
• last_price: Price at the time of listing removal
• living_area: Living area in square meters
• locality_name: Name of the locality
• open_plan: Boolean indicating if the property has an open floor plan
• parks_around3000: Number of parks within a 3 km radius
• parks_nearest: Distance to the nearest park in meters
• ponds_around3000: Number of ponds/water bodies within a 3 km radius
• ponds_nearest: Distance to the nearest pond/water body in meters
• rooms: Number of rooms
• studio: Boolean indicating if the property is a studio apartment
• total_area: Total area of the property in square meters
• total_images: Number of photos in the listing

Additional Economic Data

1. Currency Exchange Rate:

   • USD to RUB exchange rate for the period 2014-2019. This data allows for analysis of how currency fluctuations impact the real estate market.

2. Central Bank of Russia Data:

   • Key interest rate: The central bank's key policy rate, which influences lending rates and overall economic conditions.
   • Inflation rate: The rate of price increases in the economy, which can affect real estate values and investment decisions.

Potential Use Cases

1. Price Prediction: Develop machine learning models to predict property prices based on various features, including economic indicators.
2. Market Trend Analysis: Analyze how different factors, including macroeconomic variables, influence property values over time.
3. Geographical Insights: Study how location and proximity to amenities affect property desirability and pricing.
4. Listing Optimization: Investigate the relationship between listing characteristics (e.g., number of images) and time-to-sell.
5. Property Type Comparison: Compare different types of properties (e.g., studios vs. multi-room apartments) in terms of pricing and demand.
6. Urban Planning: Analyze the impact of parks, water bodies, and other urban features on property values.
7. Temporal Analysis: Study seasonal trends and long-term changes in the real estate market, considering economic factors.
8. Economic Impact Analysis: Investigate how changes in currency exchange rates, interest rates, and inflation affect the real estate market.
9. Investment Strategy: Develop models to identify optimal times for real estate investment based on economic indicators.
10. Risk Assessment: Analyze the volatility of the real estate market in relation to economic factors.

This rich dataset provides ample opportunities for both beginner and advanced data scientists to explore various aspects of the Russian real estate market. It allows for:

• Practice in data cleaning and preprocessing, especially in handling time series data
• Feature engineering, including creating derived features from economic indicators
• Applying different machine learning algorithms for regression and classification tasks
• Conducting time series analysis and forecasting
• Performing multivariate analysis to understand the complex relationships between property characteristics, location features, and economic factors

Researchers and analysts can use this dataset to gain insights into the dynamics of the Russian real estate market, understand the impact of macroeconomic factors on property values, and develop sophisticated models for price prediction and market analysis.

Average House Prices in Canada decreased to 661100 CAD in February from 665000 CAD in January of 2026. This dataset includes a chart with historical data for Canada Average House Prices.

Graph and download economic data for All-Transactions House Price Index for Los Angeles County, CA (ATNHPIUS06037A) from 1975 to 2024 about Los Angeles County, CA; Los Angeles; CA; HPI; housing; price index; indexes; price; and USA.

Housing Index in Germany decreased to 220.03 points in February from 220.11 points in January of 2026. This dataset provides the latest reported value for - Germany House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Housing Index in Hong Kong decreased to 150.88 points in March 22 from 151.05 points in the previous week. This dataset provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.