The house price data are collected from the official website of China's National Bureau of Statistics . We acquired the month-on-month growth data of house prices since January 2006, then compiled the house price index based on January 2006 as 100. The Shanghai Stock Exchange Index (SSEI) data which are treated as stock market prices are derived from the CSMAR database. After that, we calculate the monthly house price and stock price return as , where are proxied by the monthly house price index and SSEI, and represent the returns series. 157 observations from January 2006 to March 2019 are obtained.

House Price Index YoY In the Euro Area increased to 5.40 percent in the first quarter of 2025 from 4.10 percent in the fourth quarter of 2024. This dataset includes a chart with historical data for Euro Area House Price Index YoY.

Graph and download economic data for Producer Price Index by Commodity: Inputs to Industries: Net Inputs to Single Family Residential Construction, Excluding Capital Investment, Labor, and Imports (WPUIP231110) from Dec 2014 to Jun 2025 about 1-unit structures, imports, capital, investment, family, residential, construction, labor, commodities, PPI, industry, inflation, 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.

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, and others), regardless if purchased for own-occupancy or as an investment. Over the period of consideration, the House Price Index for existing dwellings in Italy reached the highest level in the second quarter of 2024 at ***** and reached its lowest level in the first quarter of 2019 at ****. Across the different regions, Trentino South-Tyrol recorded the highest house prices.

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.

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.

Graph and download economic data for Private fixed investment in structures: Residential: Manufactured homes (chain-type price index) (B945RG3A086NBEA) from 1946 to 2024 about chained, fixed, investment, residential, private, manufacturing, housing, GDP, price index, indexes, price, and USA.

United States - Contributions to Percent Change in the Gross Domestic Product Price Index: Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products was -0.01000 Percentage Points at Annual Rate in January of 2025, according to the United States Federal Reserve. Historically, United States - Contributions to Percent Change in the Gross Domestic Product Price Index: Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products reached a record high of 0.26000 in October of 2020 and a record low of -0.17000 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Contributions to Percent Change in the Gross Domestic Product Price Index: Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products - last updated from the United States Federal Reserve on August of 2025.

United States - Private fixed investment in structures: Residential: Manufactured homes (chain-type price index) was 170.84600 Index 2009=100 in January of 2024, according to the United States Federal Reserve. Historically, United States - Private fixed investment in structures: Residential: Manufactured homes (chain-type price index) reached a record high of 176.36100 in January of 2022 and a record low of 15.60800 in January of 1967. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Private fixed investment in structures: Residential: Manufactured homes (chain-type price index) - last updated from the United States Federal Reserve on July of 2025.

United States - Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products: Entertainment, Literary, and Artistic Originals (chain-type price index) was 123.80000 Index 2009=100 in January of 2024, according to the United States Federal Reserve. Historically, United States - Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products: Entertainment, Literary, and Artistic Originals (chain-type price index) reached a record high of 123.80000 in January of 2024 and a record low of 7.27500 in January of 1933. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products: Entertainment, Literary, and Artistic Originals (chain-type price index) - last updated from the United States Federal Reserve on July of 2025.

In 2023, the return of the national NCREIF Property Index in the United States declined for the first time since 2009. The annualized total return of the index plummeted in 2023, followed by a slight increase in 2024. Just three years ago, in 2021, the rate of return of the index hit **** percent. The NCREIF Property Index reflects the change in prices of commercial real estate for investment purposes in the United States. Property types with the highest cap rates Cap rates, which measure the expected return rate of a real estate asset, were the highest for retail properties in 2023. While a higher cap rate indicates a higher rate of return, it is also associated with higher risk: The multifamily sector, which has enjoyed steady and robust growth in recent years, had the lowest cap rate of all commercial property types. Commercial property area with the best development prospects In 2025, the real estate development opportunities for single-family housing were deemed to be the best when compared with other types of commercial property. Industrial real estate includes warehouses, factories, and big box distribution centers.

Switzerland - Commercial property price index, residential investment properties

United States - Private fixed investment in structures: Residential: Other structures - manufactured homes, dormitories, improvements, brokers' commissions on sales of structures (chain-type price index) was 150.81100 Index 2009=100 in January of 2024, according to the United States Federal Reserve. Historically, United States - Private fixed investment in structures: Residential: Other structures - manufactured homes, dormitories, improvements, brokers' commissions on sales of structures (chain-type price index) reached a record high of 150.81100 in January of 2024 and a record low of 3.00900 in January of 1933. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Private fixed investment in structures: Residential: Other structures - manufactured homes, dormitories, improvements, brokers' commissions on sales of structures (chain-type price index) - last updated from the United States Federal Reserve on July of 2025.

United States - Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products (chain-type price index) was 107.54900 Index 2009=100 in January of 2024, according to the United States Federal Reserve. Historically, United States - Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products (chain-type price index) reached a record high of 107.54900 in January of 2024 and a record low of 12.18000 in January of 1933. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products (chain-type price index) - last updated from the United States Federal Reserve on July of 2025.

United States - Price Index for Private Fixed Investment in Intellectual Property Products: Entertainment, literary, and artistic originals: Other was 118.53900 Index 2009=100 in January of 2023, according to the United States Federal Reserve. Historically, United States - Price Index for Private Fixed Investment in Intellectual Property Products: Entertainment, literary, and artistic originals: Other reached a record high of 118.53900 in January of 2023 and a record low of 5.95000 in January of 1933. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Price Index for Private Fixed Investment in Intellectual Property Products: Entertainment, literary, and artistic originals: Other - last updated from the United States Federal Reserve on July of 2025.

The Housing Price Index in India is a statistical measure designed to reflect the changes in housing prices across various regions. It is calculated by the Reserve Bank of India (RBI) using data from housing transactions, which include registration documents and mortgage data from banks and housing finance companies. The HPI is constructed using a base year, and the price levels of that base year are set at 100. Changes in the index from the base year reflect how housing prices have increased or decreased. The Reserve Bank compiles quarterly house price index (HPI) (base: 2010-11=100) for ten major cities, viz., Mumbai, Delhi, Chennai, Kolkata, Bengaluru, Lucknow, Ahmedabad, Jaipur, Kanpur and Kochi. Based on these city indices, the average house price index represents all of India's house price movements. The Housing Price Index (HPI) is a critical economic indicator that measures the changes in residential housing prices over time. In India, the HPI is an essential tool used by policymakers, economists, real estate developers, investors, and homebuyers to gauge the trends in the real estate market. The HPI helps track the inflation or deflation in the housing market, thus providing insights into the economy's overall health.

United States - Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products (chain-type price index) was 2.20000 % Chg. from Preceding Period in January of 2024, according to the United States Federal Reserve. Historically, United States - Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products (chain-type price index) reached a record high of 11.10000 in January of 1942 and a record low of -9.10000 in January of 1932. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products (chain-type price index) - last updated from the United States Federal Reserve on July of 2025.

United States - Private fixed investment, chained price index: Nonresidential: Intellectual property products: Software was 91.05900 Index 2009=100 in January of 2025, according to the United States Federal Reserve. Historically, United States - Private fixed investment, chained price index: Nonresidential: Intellectual property products: Software reached a record high of 218.83200 in January of 1959 and a record low of 88.49000 in October of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Private fixed investment, chained price index: Nonresidential: Intellectual property products: Software - last updated from the United States Federal Reserve on August of 2025.

Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.

A. Usecase/Applications possible with the data:

1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data

2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.

3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.

4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.

5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

6. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.

7. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.

How does it work?

• Analyze sample data
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