Dubai Housing Market Insights

Dataset Features

• DP_ID: Unique identifier for each transaction.
• procedure_name: The type of transaction (e.g., Sell, Mortgage Registration).
• date: The date of the transaction.
• property_type: The general classification of the property (e.g., Unit, Villa).
• property_sub_type: The specific sub-category (e.g., Flat, Hotel Apartment).
• property_usage: The intended use of the property (e.g., residential, hospitality).
• area_name: The name of the locality where the property is situated.
• building_name: The specific building where the property is located.
• master_project: The larger development under which the property falls.
• nearest_landmark: A nearby significant location for reference.
• nearest_metro: The closest metro station to the property.
• nearest_mall: The nearest shopping mall.
• bedrooms: Number of bedrooms in the property.
• Parking: Number of parking spaces available.
• built_up_area_(sqft): Total built-up area in square feet.
• selling_price: The final sale price of the property.
• sale_price_per_foot: Price per square foot of the property.

Distribution

• Data Volume: 513581 rows and 17 columns.
• Format: Tabular dataset suitable for analysis in CSV, Excel, or database formats.

Usage

• Real Estate Market Analysis: Studying property trends and price fluctuations.
• Investment Decision-Making: Identifying high-value properties and potential growth areas.
• Price Forecasting: Developing models to predict property prices based on historical data.
• Urban Planning: Understanding property distribution and infrastructure development.

Coverage

• Geographic Coverage: Dubai, UAE.
• Time Range: Includes real estate transactions from 2011 to 2024.
• Demographics: Covers different property types, including residential.

License

Who Can Use It

• Data Scientists: For predictive modeling of real estate prices.
• Researchers: To analyze urban development and housing market trends.
• Businesses: For property valuation, investment analysis, and market forecasting.
• Government & Planners: To assess real estate growth and infrastructure needs.