Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.
| Column Name | Description |
|---|---|
Country | The country where the housing market data is recorded π |
Year | The year of observation π |
Average House Price ($) | The average price of houses in USD π° |
Median Rental Price ($) | The median monthly rent for properties in USD π |
Mortgage Interest Rate (%) | The average mortgage interest rate percentage π |
Household Income ($) | The average annual household income in USD π‘ |
Population Growth (%) | The percentage increase in population over the year π₯ |
Urbanization Rate (%) | Percentage of the population living in urban areas ποΈ |
Homeownership Rate (%) | The percentage of people who own their homes π |
GDP Growth Rate (%) | The annual GDP growth percentage π |
Unemployment Rate (%) | The percentage of unemployed individuals in the labor force πΌ |
Facebook
Twitterhttps://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy
The Indonesia Real Estate Market Report is Segmented by Property Type (Residential, and Commercial), by Business Model (Sales and Rental), by End User (Individuals/Households, Corporates & SMEs, and More), and by Region (DKI Jakarta, East Java, West Java, and the Rest of Indonesia). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.
Facebook
Twitterhttps://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy
The US Office Real Estate Market Report is Segmented by Building Grade (Grade A, Grade B, and More), by Transaction Type (Rental and Sales), by End Use (Information Technology (IT & ITES), BFSI (Banking, Financial Services and Insurance), and More) and by States (Texas, California, Florida and More). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.
Facebook
Twitterhttps://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
The Artificial Intelligence (AI) in Real Estate market is rapidly transforming the landscape of property buying, selling, and management, utilizing advanced algorithms and data analytics to enhance decision-making processes and customer experiences. As of 2023, the estimated market size for AI in real estate stands
Facebook
Twitterhttps://www.htfmarketinsights.com/privacy-policyhttps://www.htfmarketinsights.com/privacy-policy
Global Artificial Intelligence in Real Estate Market is segmented by Application (Real Estate Agents_ Property Managers_ Investors_ Homeowners), Type (Property Valuation_ Predictive Analytics_ Customer Relationship Management (CRM)_ Property Management_ Smart Homes), and Geography (North America_ LATAM_ West Europe_Central & Eastern Europe_ Northern Europe_ Southern Europe_ East Asia_ Southeast Asia_ South Asia_ Central Asia_ Oceania_ MEA)
Facebook
Twitterhttps://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy
The Asia-Pacific Office Real Estate Market Report is Segmented by Geography (China, Japan, India, Australia, South Korea, and the Rest of APAC). The Report Offers Market Size and Forecasts for the Asia-Pacific Office Real Estate Market in Value (USD Billion) for all the Above Segments.
Facebook
Twitterhttps://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy
Explore the Redfin USA Properties Dataset, available in CSV format. This extensive dataset provides valuable insights into the U.S. real estate market, including detailed property listings, prices, property types, and more across various states and cities. Perfect for those looking to conduct in-depth market analysis, real estate investment research, or financial forecasting.
Key Features:
Who Can Benefit From This Dataset:
Download the Redfin USA Properties Dataset to access essential information on the U.S. housing market, ideal for professionals in real estate, finance, and data analytics. Unlock key insights to make informed decisions in a dynamic market environment.
Looking for deeper insights or a custom data pull from Redfin?
Send a request with just one click and explore detailed property listings, price trends, and housing data.
π Request Redfin Real Estate Data
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset was created by Wen Li
Released under Apache 2.0
Facebook
Twitterhttps://www.htfmarketinsights.com/privacy-policyhttps://www.htfmarketinsights.com/privacy-policy
Global Artificial Intelligence in Real Estate Market is segmented by Application (Real estate industry_ Technology industry_ Finance industry_ Construction industry_ Urban planning), Type (Technology_ Real estate_ AI_ Machine learning_ Property technology), and Geography (North America_ LATAM_ West Europe_Central & Eastern Europe_ Northern Europe_ Southern Europe_ East Asia_ Southeast Asia_ South Asia_ Central Asia_ Oceania_ MEA)
Facebook
Twitterhttps://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
The property market, a cornerstone of the global economy, encompasses the buying, selling, leasing, and management of real estate, including residential, commercial, and industrial properties. As professionals and investors navigate this multifaceted industry, understanding its dynamics is crucial. Recent insights f
Facebook
TwitterAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
Data Source: Redfin (https://www.redfin.com/news/data-center) Data provided by Redfin, a national real estate brokerage. Used for academic purposes only. Please cite Redfin on first reference as: βAccording to Redfin, a national real estate brokerage, the U.S. housing market shows clear seasonal patterns and regional differences in pricing trends, which can be analyzed using their publicly available monthly housing data.β
Facebook
Twitterhttps://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
The Information Technology (IT) sector in the real estate market has rapidly transformed how industry stakeholders conduct business, making it a critical area of focus for professionals and investors alike. IT solutions have streamlined property management, enhanced customer experience, and facilitated a more effici
Facebook
Twitterhttps://kaktu.al/terms-conditionshttps://kaktu.al/terms-conditions
Comprehensive dataset of Albanian real estate market intelligence including official government reference prices, market trends, and investment insights
Facebook
Twitterhttps://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
The Metaverse Property market is an evolving digital frontier that blends virtual reality, augmented reality, and blockchain technology to create immersive online spaces where users can buy, sell, and develop virtual real estate. As individuals and businesses increasingly recognize the potential of these digital env
Facebook
Twitterhttps://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy
The Housing Data Extracted from Homes.com (USA) dataset is a comprehensive collection of 2 million real estate listings sourced from Homes.com, one of the leading real estate platforms in the United States. This dataset offers detailed insights into the U.S. housing market, making it an invaluable resource for real estate professionals, investors, researchers, and analysts.
The dataset contains extensive property details, including location, price, property type (single-family homes, condos, apartments), number of bedrooms and bathrooms, square footage, lot size, year built, and availability status. Organized in CSV format, it provides users with easy access to structured data for analyzing trends, developing investment strategies, or building real estate applications.
Key Features:
Facebook
Twitterhttps://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
The Real Estate market plays a pivotal role in the global economy, serving as a fundamental component of wealth generation and investment for individuals and businesses alike. Defined broadly, real estate encompasses residential, commercial, and industrial properties, each segment contributing uniquely to economic h
Facebook
Twitterhttps://www.zionmarketresearch.com/privacy-policyhttps://www.zionmarketresearch.com/privacy-policy
global luxury real estate market size was worth around USD 276 billion in 2024 and is predicted to grow to around USD 538 billion by 2034.(CAGR) of roughly 6.9%
Facebook
Twitterhttps://www.zionmarketresearch.com/privacy-policyhttps://www.zionmarketresearch.com/privacy-policy
Global Property Management Software Market size is set to expand $23.46 Billion in 2023 to $50.12 Billion by 2032, with an CAGR of 8.8% from 2024 to 2032.
Facebook
Twitterhttps://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
The Real Estate Property Inspection Services market plays a crucial role in the real estate industry by ensuring properties are up to code, safe, and worth their asking price. As potential buyers and investors navigate an increasingly complex housing market, the demand for thorough property inspections has surged. T
Facebook
TwitterAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
This dataset was created by Yana Krylova
Released under CC BY-NC-SA 4.0
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.
| Column Name | Description |
|---|---|
Country | The country where the housing market data is recorded π |
Year | The year of observation π |
Average House Price ($) | The average price of houses in USD π° |
Median Rental Price ($) | The median monthly rent for properties in USD π |
Mortgage Interest Rate (%) | The average mortgage interest rate percentage π |
Household Income ($) | The average annual household income in USD π‘ |
Population Growth (%) | The percentage increase in population over the year π₯ |
Urbanization Rate (%) | Percentage of the population living in urban areas ποΈ |
Homeownership Rate (%) | The percentage of people who own their homes π |
GDP Growth Rate (%) | The annual GDP growth percentage π |
Unemployment Rate (%) | The percentage of unemployed individuals in the labor force πΌ |