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Real Estate Price Analysis Riyadh
Comodities & Real Estate
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About
Data details scraped information from the sa.aqar.fm platform concerning the land market in Saudi Arabia. This resource captures critical land metrics such as price, size, street width, and geographical locations. It is primarily focused on lands located in Riyadh, with additional data available for Jeddah and Khobar. The material is essential for supporting analytical tasks within the real estate sector.
Columns
The dataset contains 8 attributes related to land parcels:
- mainlocation: The main location of the land, with 45 unique values. The most common entry is الرياض (Riyadh), accounting for 71% of the records. This column is 100% valid.
- sublocation: Indicates the subregion of the location. This column has 7 unique values and is 77% valid, with 23% missing entries. The most frequent subregion is شمال الرياض.
- neighborhood: The neighborhood where the land resides. There are 288 unique neighborhoods, with حي الملقا being the most common (11%). This column is 100% valid.
- frontage: The cardinal direction the land faces the street, with 10 unique directions recorded. The most common is جنوب (South) at 17%. This column is 100% valid.
- purpose: The intended purpose for land use. The most common purpose is سكني (Residential), representing 68% of valid records. This column is 88% valid, with 12% missing values.
- streetwidth: The length of the street facing the land in meters. The mean width is 24.7 meters, with values ranging from 1 meter to 100 meters. This column is nearly 100% valid.
- size: The size of the land in meters squared. The mean size is 10.4k meters squared, with recorded values starting at 81 and reaching 10.00m. This column is 100% valid.
- Pricepm: The price per meter squared. The mean price is 2.62k, with a maximum recorded value of 83.3k. This column is 100% valid.
Distribution
The information is stored in a CSV file named
aqardata_2.csv, which has a small file size of 248.6 kB. The dataset contains 2,951 valid records after duplicate rows were removed. While the majority of columns are 100% valid, the sublocation and purpose attributes contain some missing data.Usage
This resource is ideally used for data analytics, particularly in the real estate sector. It supports clustering analysis to segment land based on price, size, and location attributes. It enables analysts to study pricing trends and land usage patterns across different Saudi Arabian cities.
Coverage
The geographic scope covers the land market in Saudi Arabia. The dataset is predominantly focused on land transactions in Riyadh (71%), but also includes a good number of records from Jeddah and Khobar. Features related to location and use purpose are preserved in Arabic to maintain the integrity of the original data.
License
CC0: Public Domain
Who Can Use It
The dataset is intended for beginner-level analysts, researchers, and users interested in real estate market dynamics. It is highly suitable for practising clustering algorithms and geospatial data analytics related to urban planning. The usability rating for this material is 10.00.
Dataset Name Suggestions
- Saudi Arabian Land Market Data
- Real Estate Price Analysis Riyadh
- aqar.fm Scraped Land Information
Attributes
Original Data Source: Real Estate Price Analysis Riyadh
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