Graph and download economic data for Real Residential Property Prices for United Arab Emirates (QAER771BIS) from Q1 2004 to Q1 2024 about United Arab Emirates, residential, HPI, housing, real, price index, indexes, and price.

Dubai, UAE Real Estate Market Dataset

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Dataset Description

This comprehensive dataset provides an exhaustive snapshot of property listings for sale across the United Arab Emirates, including major cities like Dubai, Abu Dhabi, and Al Ain. Sourced from Bayut.com, this dataset serves as an invaluable resource for Data Scientists, Real Estate Analysts, Urban Planners, and Developers keen on exploring real estate market dynamics, price fluctuations, and development trends in the UAE.

Dataset Overview

The dataset contains over 41,000 entries, each representing a unique property for sale. It includes detailed information such as:

• Price: Listing price of the property in AED.
• Type: Specifies the property type, such as Apartment, Townhouse, etc.
• Beds: Number of bedrooms, with '0' indicating a studio flat.
• Baths: Number of bathrooms.
• Address: Full address of the property, providing insights into its precise location.
• Furnishing: Indicates whether the property is furnished or unfurnished.
• Completion Status: Current status of the property (Ready, Off-Plan).
• Building Name, Area Name, City: Provide contextual location details.
• Year of Completion: Year when the property was completed or is expected to be completed.
• Total Floors, Parking Spaces, Building Area: Key features of the property's building.
• Latitude, Longitude: Geographic coordinates for more refined location analysis.
• Purpose: Intended purpose of the listing, consistently noted as 'For Sale'.

Usage

This dataset is ideal for a variety of applications, including:

• Market Analysis: Analyze trends in property prices and types across different regions.
• Predictive Modeling: Develop machine learning models to predict property prices or to classify types of properties based on their features.
• Urban Development Studies: Examine property distribution and characteristics to inform urban planning and development strategies.
• Comparative Analysis: Compare properties across different cities and districts to identify investment opportunities or to study market behavior.

Data Accessibility

This dataset is publicly available and well-suited for anyone interested in conducting detailed analyses of the UAE real estate market, from academic researchers to industry professionals.

Feel free to dive into this dataset to unlock comprehensive insights into the vibrant and diverse property market of the UAE, supporting a wide range of real estate, economic, and geographic studies.

The UAE Real Estate Services Market Report is Segmented by Property Type (Residential - Apartments and Condominiums, Villas and Landed Houses; Commercial - Office, Retail, Logistics, Others), Service (Brokerage Services, Property Management Services, Valuation Services, Others), Client Type (Individuals/Households, and More), and Geography (Dubai, Abu Dhabi, and More). The Market Forecasts are Provided in Terms of Value (USD).

Dubai, UAE Rental Properties Dataset

👨‍💻 Author: Azhar Saleem

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This dataset presents a comprehensive overview of rental property listings across multiple cities in the United Arab Emirates, including Abu Dhabi, Dubai, Sharjah, Ajman, Ras Al Khaimah, Umm Al Quwain, and Al Ain. Compiled from bayut.com, it is a valuable resource for Data Analysts, Data Scientists, and Researchers looking to explore real estate trends, rental pricing patterns, or urban development studies in the UAE.

Dataset Overview

Each entry in the dataset represents a rental property listing with details about the property's features, rental terms, and location specifics. This primary and unique dataset is designed for analysis and can be used to generate insights into the rental market dynamics of the UAE.

Columns Description

• Address: Full address of the property.
• Rent: The annual rent price in AED.
• Beds: Number of bedrooms in the property.
• Baths: Number of bathrooms in the property.
• Type: Type of property (e.g., Apartment, Villa, Penthouse).
• Area_in_sqft: Total area of the property in square feet.
• Rent_per_sqft: Rent price per square foot, calculated as Rent divided by Area_in_sqft.
• Rent_category: Categorization of the rent price (Low, Medium, High) based on thresholds.
• Frequency: Rental payment frequency, which is consistently 'Yearly'.
• Furnishing: Furnishing status of the property (Furnished, Unfurnished).
• Purpose: The purpose of the listing, typically 'For Rent'.
• Posted_date: The date the property was listed for rent.
• Age_of_listing_in_days: The number of days the listing has been active since it was posted.
• Location: A more specific location within the city where the property is located.
• City: City in which the property is situated.
• Latitude, Longitude: Geographic coordinates of the property.

Usage

This dataset is open for public use and is particularly suited for:

• Analyzing trends in the rental market.
• Studying the geographical distribution of rental properties.
• Comparing rental prices across different cities and property types.
• Developing machine learning models to predict rental prices or classify property types.

Feel free to explore this dataset and derive meaningful insights to understand the dynamics of the UAE rental market.

The UAE Residential Real Estate Market is Segmented by Property Type (Apartments & Condominiums and Villas & Landed Houses), Price Band (Affordable, Mid-Market and Luxury), Mode of Sale (Primary and Secondary), Business Model (Sales and Rental) and Emirates (Dubai, Abu Dhabi, Sharjah, Ras Al Khaimah and Rest of UAE). The Market Forecasts are Provided in Terms of Value (USD).

UAE Residential Real Estate Market size was valued at around USD 36.32 Billion in 2024 & is projected to reach USD 52.32 billion by 2030 with a 5.1% CAGR.

UAE House Price Prediction Dataset

This dataset is part of a machine learning project aimed at predicting property rental prices in the UAE. It includes raw and processed data, trained models, and Python scripts for building interactive dashboards using Dash and Streamlit.

About the Dataset

• Data Source: Real estate listings from Dubai (synthetic or scraped data).
• Size: 1.06 GB, including raw data, models, and results.
• Files:
  • dubai_properties.csv: Main dataset with features like area, location, and price.
  • src/: Python scripts for data processing, model training, and visualization.
  • models/: Pre-trained Random Forest models.
  • results/: Processed data and prediction outputs.
• Usage: Ideal for machine learning practice, data visualization, and dashboard development.

How to Use

1. Download the dataset.
2. Install dependencies: pip install -r requirements.txt.
3. Run the Dash app: python src/dash_app.py.
4. Run the Streamlit app: streamlit run src/streamlit_app.py.

Tags

• Machine Learning
• Real Estate
• Data Visualization
• UAE

Explore the dynamic GCC Real Estate Market with a projected USD 13.39 billion size by 2025, driven by a 9.63% CAGR, infrastructure boom, and economic diversification. Discover key trends, growth drivers, and regional insights for this expanding market. Key drivers for this market are: Increasing Demand of prefabricated Housing in GCC, Government Initiatives Driving the Construction. Potential restraints include: Low construction tolerance, supplier dependance and expensive development. Notable trends are: Rising Demand for Single Family Type in the Region Fuelling the Market Demand.

The UAE Luxury Residential Real Estate Market Report is Segmented by Business Model (Sales, Rental), by Property Type (Apartments & Condominiums, Villas & Landed Houses), by Mode of Sale (Primary New-Build, Secondary Existing-Home Resale), and by City (Dubai, Abu Dhabi, Sharjah, Other Emirates). The Market Forecasts are Provided in Terms of Value (USD).

In the fourth quarter of 2024, the Bulgaria, Spain, and Portugal registered the highest house price increase in real terms (adjusted for inflation). In Bulgaria, house prices outgrew inflation by nearly 16 percent. When comparing the nominal price change, which does not take inflation into consideration, the average house price growth was even higher.

Meanwhile, many countries experienced declining prices, with Turkey recording the biggest decline, at 12 percent. That has to do with a broader trend of a slowing global housing market.

Key information about United Arab Emirates Gold Production

• United Arab Emirates Real Residential Property Price Index was reported at 143.490 2010=100 in Mar 2024.
• This records an increase from the previous number of 137.212 2010=100 for Dec 2023.
• United Arab Emirates Real Residential Property Price Index data is updated quarterly, averaging 135.369 2010=100 from Mar 2003 to Mar 2024, with 85 observations.
• The data reached an all-time high of 165.357 2010=100 in Sep 2014 and a record low of 86.733 2010=100 in Sep 2003.
• United Arab Emirates Real Residential Property Price Index data remains active status in CEIC and is reported by Bank for International Settlements.
• The data is categorized under World Trend Plus’s Association: Property Sector – Table RK.BIS.RPPI: Selected Real Residential Property Price Index: 2010=100: Quarterly. [COVID-19-IMPACT]

UAE residential real estate market is expected to grow at 4.8% CAGR, reaching AED 1.2 Tn by 2030, driven by population growth, foreign investment, and infrastructure projects.

UAE Real Estate Market Analysis 2025-2033: Discover key trends, growth projections, and regional market share insights. Explore the booming UAE property sector, including luxury homes and commercial real estate investment opportunities. Key drivers for this market are: Increasing Developments in the Residential Segment, Investments in the Senior Living Units. Potential restraints include: Limited Availability of Land Hindering the Market. Notable trends are: Increase in Facility Management Services in the United Arab Emirates.

The GCC real estate market, valued at $13.39 billion in 2025, is projected to experience robust growth, with a Compound Annual Growth Rate (CAGR) of 9.63% from 2025 to 2033. This expansion is driven by several key factors. Increased government investments in infrastructure projects, particularly in Saudi Arabia and the UAE, are stimulating demand. Furthermore, a burgeoning population, coupled with rising urbanization and a robust tourism sector, fuel the need for residential and commercial properties. The significant influx of foreign investment, attracted by the region's economic diversification strategies and favorable regulatory environments, also contributes significantly to market growth. The market is segmented by property type, with single-family homes and multi-family dwellings representing the primary segments. Competition among major players like Strabag Dubai LLC, Extra Co Group of Companies, and Albaddad International is fierce, driving innovation and efficiency improvements within the construction and development sectors. While challenges exist, such as potential economic fluctuations and material cost increases, the overall outlook for the GCC real estate market remains positive, promising substantial growth over the forecast period. The forecast period of 2025-2033 is anticipated to witness a steady rise in market value, influenced by factors like ongoing infrastructure development, government initiatives to boost housing affordability, and continuous growth in the tourism and hospitality industries. The strategic location of the GCC region, serving as a crucial trade hub, adds to its appeal for investors. The ongoing diversification of the regional economy, reducing reliance on oil revenue, enhances long-term stability and fosters a favorable investment climate. While supply chain disruptions and global economic uncertainties represent potential headwinds, the strong fundamentals of the GCC real estate market suggest its resilience and capacity for sustained growth. The segmentation into single-family and multi-family homes reflects differing consumer preferences and demand drivers, influencing the overall market dynamics. Recent developments include: June 2023: Saudi Arabia's Red Sea International Co. acquired a 51% stake in local construction firm Fundamental Installation for Electric Work Co. Ltd. (First Fix) for a total transaction value of 544.2 million (USD 145 million)., May 2022: Saudi Giga projected a merger to create a new development powerhouse. Saudi Arabia's Public Investment Fund (PIF) combined two big projects, with The Red Sea Development Company (TRSDC) having taken over Amaala under a single new entity, which will be soon known as Red Sea Global.. Key drivers for this market are: Increasing Demand of prefabricated Housing in GCC, Government Initiatives Driving the Construction. Potential restraints include: Increasing Demand of prefabricated Housing in GCC, Government Initiatives Driving the Construction. Notable trends are: Rising Demand for Single Family Type in the Region Fuelling the Market Demand.

The report on UAE Residential Real Estate covers a summarized study of several factors supporting market growth, such as market size, market type, major regions, and end-user applications. The report enables customers to recognize key drivers that influence and govern the market.

UAE Real Estate Market size was valued at $ 637.4 Bn in 2024 and is expected to reach $ 1256.7 Bn by 2032, growing at a CAGR of 8.8% from 2026 to 2032Population growth and expatriate influx represent demographic expansion through both natural growth and immigration, creating sustained demand for residential and commercial properties across UAE urban centers.

Discover the booming UAE commercial real estate market! This in-depth analysis reveals a 6% CAGR, key drivers, market segmentation (offices, retail, industrial, hospitality), top players (Aldar, Arabtec, Nakheel), and regional insights. Explore investment opportunities in Dubai, Abu Dhabi, and Sharjah. Recent developments include: March 2022: AD Ports Group signed an agreement with Metal Park Investment ME LTD to establish an integrated metal hub in KIZAD that will cater to all industry verticals and offer scale flexibilities to metal vendors, processors, and fabricators in the United Arab Emirates. The upcoming Metal Park in KIZAD covers a total land area of 450,000 sq. m. It will be equipped with state-of-the-art facilities supporting storage and handling, processing, and fabrication activities while offering access to R&D amenities, rental office space, and associated financial services., December 2021: A consortium comprising Aldar Properties and ADQ announced the acquisition of approximately 85.52% of the outstanding share capital of The Sixth of October for Development and Investment SAE.. Key drivers for this market are: Government Initiatives Promoting Affordable Housing, Economic Growth and Rising Disposable Incomes. Potential restraints include: Shortage of Skilled Labor, Fluctuating Construction Materials Costs. Notable trends are: Increase in Demand for Office Spaces across Dubai To Drive the Market.

In January 2024, the index value of residential property prices in the emirate of Dubai in the United Arab Emirates peaked at ****** points. Since January 2022, the overall trend of the index value has seen an upward trajectory.

Residential Property Prices for United Arab Emirates was 18.37930 % per Annum in January of 2024, according to the United States Federal Reserve. Historically, Residential Property Prices for United Arab Emirates reached a record high of 18.37930 in January of 2024 and a record low of 6.34590 in July of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Residential Property Prices for United Arab Emirates - last updated from the United States Federal Reserve on December of 2025.

Title: Real Estate Data UAE
Subtitle: UAE Studio Listings 2024

Description:

Dataset Overview: This dataset offers a comprehensive snapshot of studio apartment listings available for sale across the United Arab Emirates as of 2024. It encompasses a variety of properties, presenting a unique opportunity for market analysis, trend identification, and investment evaluation within the UAE real estate sector. The collection meticulously compiles data from various listings, presenting attributes such as unique identifiers, property titles, display addresses, the number of bathrooms, bedrooms, listing addition dates, regulatory details, property types, and pricing. This dataset is particularly tailored for those interested in the dynamics of the UAE's studio apartment market.

Data Science Applications: Despite its compact size, this dataset is ripe for various data science explorations. Analysts can leverage it for predictive modeling of property prices, trend analysis over time, geographical market segmentation, and feature importance studies to understand price determinants. It's a valuable resource for academic research, market analysis, and portfolio management, providing insights into the burgeoning real estate market of the UAE.

Column Descriptors: - id: Unique property listing identifier. - title: Descriptive title of the property listing. - displayAddress: Location information including community and city. - bathrooms: Count of bathrooms in the property. - bedrooms: Count of bedrooms in the property, noting the studio nature. - addedOn: Timestamp marking the listing's addition to the dataset. - type: Denotes the transaction nature, focused here on sales. - rera: Real Estate Regulatory Agency number for regulatory compliance. - propertyType: Categorized as 'apartment' for all entries. - price: Listed price of the property.

Ethically Mined Data: This dataset is curated with a strong commitment to ethical data practices. Sensitive information, such as agent contacts, has been diligently excluded to respect privacy and confidentiality. The compilation process adhered to fair use principles, ensuring data integrity and compliance with legal standards.

Acknowledgements: Special appreciation is extended to Property Finder and other platforms that serve as primary sources for real estate listings. Their dedication to maintaining up-to-date and accessible property information has been instrumental in the creation of this dataset.

This dataset is intended for educational and informational purposes, aiming to contribute to the broader understanding of the UAE real estate landscape. It encourages responsible use and further exploration within the data science community.