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Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q2 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.
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A simple yet challenging project, to predict the housing price based on certain factors like house area, bedrooms, furnished, nearness to mainroad, etc. The dataset is small yet, it's complexity arises due to the fact that it has strong multicollinearity. Can you overcome these obstacles & build a decent predictive model?
Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102. Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.
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Graph and download economic data for Residential Property Prices for Hungary (QHUN628BIS) from Q1 1990 to Q2 2025 about Hungary, residential, HPI, housing, price index, indexes, and price.
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Graph and download economic data for Real Residential Property Prices for Euro area (QXMR628BIS) from Q1 1975 to Q2 2025 about Euro Area, Europe, residential, HPI, housing, real, price index, indexes, and price.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Residential property values by type of property for Canada, provinces and territories, annual data from 2005 to today.
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TwitterIn 2025, Canadians made up the second-largest share of major foreign buyers of property in the United States, following Chinese buyers. In that year, ** percent of residential properties were purchased by Canadians buyers and ** percent by Chinese buyers. That amounted to an aggregate value of **** billion U.S. dollars of housing sales to Chinese buyers.
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TwitterREdistribute modernizes real estate data accessibility by providing access to fresh, reliable listings from trusted MLS sources.
For Market Insights & Analytics, this standardized bulk dataset enables: - Macro and micro-level housing market trend analysis - Competitive benchmarking and regional performance tracking - Consumer demand forecasting grounded in verified transaction activity
Key features: • Flexible Delivery: Available via a bulk data API or directly through Snowflake • Residential or Multi-Class: Choose a residential-only dataset or full MLS coverage across all property types, including residential, multi-family, land, commercial, rentals, farm and more • Comprehensive Field Access: Explore 800+ fields providing a complete view of both residential and non-residential property data • Fast & Fresh: Stay current with daily updates sourced directly from trusted MLSs partners
The sample data covers one listing in JSON format. For access to a broader set of sample listings (10,000+), reach out to the REdistribute sales contact.
ABOUT REDISTRIBUTE
REdistribute aims to modernize real estate data accessibility, fostering innovation and transparency through direct access to the most reliable MLS data. Our commitment to data integrity and direct MLS involvement guarantees the freshest, most accurate insights, empowering businesses across industries to drive innovation and make informed decisions.
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TwitterAssessment dataset used by the Cook County Assessor in their Computer Assisted Mass Appraisal (CAMA) system used to assess residential properties in Northern Triennial Townships. This dataset contains property information for every residential PIN in the northern triennial townships where class is within a specified list of classes. For disclaimers, see dataset narrative at https://datacatalog.cookcountyil.gov/stories/s/p2kt-hk36
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Graph and download economic data for Real Residential Property Prices for Austria (QATR628BIS) from Q3 1986 to Q2 2025 about Austria, residential, HPI, housing, real, price index, indexes, and price.
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Key information about Germany Nominal Residential Property Price Index
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Residential Property Prices in Luxembourg increased 4.56 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for Luxembourg Residential Property Prices.
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United States Luxury Residential Real Estate Market Report is Segmented by Property Type (Apartments and Condominiums, and Villas and Landed Houses), by Business Model (Sales and Rental), by Mode of Sale (Primary (New-Build) and Secondary (Existing-Home Resale)), and by Region (Northeast, Midwest, Southeast, West and Southwest). The Market Forecasts are Provided in Terms of Value (USD).
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Key information about France Gold Production
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This dataset contains ~20,000 real estate property listings collected from PropertyFinder Egypt.
It includes detailed information about properties for sale such as price, size, location, type, number of bedrooms/bathrooms, availability, and payment methods.
The dataset can be used for:
- 🧮 Price prediction models (ML/Regression).
- 📊 Exploratory Data Analysis on the Egyptian real estate market.
- 📝 NLP tasks using property descriptions (Arabic + English mix).
- 📍 Geospatial analysis of property locations in Cairo, Giza, Red Sea, etc.
| Column | Description |
|---|---|
url | Direct link to the property listing on PropertyFinder Egypt. |
price | Property price in Egyptian Pounds (string, contains comma separators). |
description | Detailed property description (English/Arabic mixed text). |
location | Full location including compound, city, and governorate. |
type | Property type (Apartment, Villa, Townhouse, etc.). |
size | Property size in both square feet and square meters. |
bedrooms | Number of bedrooms (can be numeric or string like 3+ Maid). |
bathrooms | Number of bathrooms. |
available_from | Availability date for the property (nullable). |
payment_method | Payment method (e.g., Cash, Installments). |
down_payment | Down payment amount (only available for ~5k listings). |
down_payment, available_from). price and size are stored as strings with separators (need cleaning for ML). description contains mixed Arabic/English text → suitable for NLP preprocessing. This dataset is released under CC BY 4.0 License.
Attribution is required if used in research or commercial projects.
Data source: PropertyFinder Egypt
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Rental data encompasses detailed information about residential rental properties, including single-family homes, multifamily units, and large apartment complexes. This data often includes key metrics such as rental prices, occupancy rates, property amenities, and detailed property descriptions. Advanced rental datasets integrate listings directly sourced from property management software systems, ensuring real-time accuracy and eliminating reliance on outdated or scraped information.
Additional Rental Data Details
The rental data is sourced from over 20,000 property managers via direct feeds and property management platforms, covering over 30 percent of the national rental housing market for diverse and broad representation. Real-time updates ensure data remains current, while verified listings enhance accuracy, avoiding errors typical of survey-based or scraped datasets. The dataset includes 14+ million rental units with detailed descriptions, rich photography, and amenities, offering address-level granularity for precise market analysis. Its extensive coverage of small multifamily and single-family rentals sets it apart from competitors focused on premium multifamily properties.
Rental Data Includes:
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Discover the booming Latin American residential real estate market! This in-depth analysis reveals a $477.77M (2025) market with an 8.32% CAGR, driven by urbanization and economic growth. Explore key trends, challenges, and top players in Mexico, Brazil, Colombia, and beyond. Invest wisely with our comprehensive market insights. Recent developments include: November 2023: CBRE, a prominent global consultancy and real estate services firm, unveiled its latest initiative, the Latam-Iberia platform. The platform's primary goal is to reinvigorate the real estate markets in Europe and Latin America while fostering investment ties between the two regions. By enhancing business collaborations and amplifying the visibility of real estate solutions, CBRE aims to catalyze growth in the sector., May 2023: CJ do Brasil, a subsidiary of multinational firm CJ Bio, completed its USD 57 million plant expansion in Piracicaba, 160 km from Brazil's capital. CJ Bio is renowned for its expertise in amino acid production. The expansion is projected to create 650 new job opportunities, and the investment also encompasses the establishment of residential, research, and development centers.. Key drivers for this market are: Increase in Population is Boosting the Residential Real Estate Market, Rapid Growth in Urbanization. Potential restraints include: Accelerated Increase in Construction Costs. Notable trends are: Increase in Urbanization Boosting Demand for Residential Real Estate.
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TwitterThe price of new residential properties in Brazil continued to increase in 2023, albeit at a lower rate compared to the previous three years. Property prices exhibited the highest percentage increase in 2021, at ***** percent, more than twice the increase recorded in 2023.
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Graph and download economic data for Real Residential Property Prices for Denmark (QDKR628BIS) from Q1 1970 to Q2 2025 about Denmark, residential, HPI, housing, real, price index, indexes, and price.
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Residential Property Conditions within the Tulsa city limits. The property conditions are categorized by the following: Above Average, Average, Below Average, Fair, Poor and Unsound. The parcel data is from 2019. This dataset should only be used as a supplement to official records.
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TwitterIn 2024, residential housing prices in South Korea increased by around **** percent year-on-year. This was a tentative sign of recovery from the significant drops seen in the two years prior.
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Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q2 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.