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South East Asian Property Listing Data
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About
This resource contains detailed property listings for houses and residential units within Vietnam, specifically captured in 2024. The data set includes key physical measurements, property addresses, legal status indicators, and furnishing details, all correlated with the corresponding selling price. It offers valuable information for real estate analysis, allowing users to develop robust price prediction models and study market behaviours within the Vietnamese housing sector.
Columns
- Address: The complete geographical location of the property, encompassing the project name, street, ward, district, and city details.
- Area: The total size of the property, quantified in square meters.
- Frontage: The width measurement of the front side of the property, given in meters.
- Access Road: The width of the road that provides access to the property, measured in meters.
- House Direction: The cardinal orientation that the front of the house is facing (e.g., East, West, North, South).
- Balcony Direction: The cardinal orientation of the property’s balcony.
- Floors: The total count of levels or floors in the structure.
- Bedrooms: The count of bedrooms contained within the property.
- Bathrooms: The count of bathrooms contained within the property.
- Legal Status: Indicates the property's official status, such as possession of a certificate of ownership or being under a sale contract.
- Furniture State: Details the level of furnishing, which may include fully furnished, partially furnished, or unfurnished.
- Price: The asking price of the property, recorded in billions of Vietnamese Dong (VND).
Distribution
The data is provided in a CSV file format named
vietnam_housing_dataset.csv, with a file size of approximately 3.53 MB. The dataset features 12 distinct columns. While core attributes like Area and Price have 100% validity, it should be noted that certain fields, such as Access Road and Balcony Direction, exhibit high percentages of missing data. The file contains over 30,000 potential records.Usage
Ideal applications for this data set include developing predictive algorithms, specifically linear regression models, to forecast house prices in Vietnam. It is also highly effective for performing advanced market trend analysis, evaluating the impact of physical features (like area and number of bedrooms) on property valuation, and supporting academic research in real estate economics. The data is suitable for beginner-level data analytics projects.
Coverage
The scope of this data is strictly focused on residential properties located across Vietnam. The information represents detailed listings collected during 2024. The data provides specific geographical attributes down to the city and district level.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For training and validating machine learning models related to real estate pricing.
- Financial Analysts: To assess market stability and investment potential based on property characteristics.
- Students and Educators: The data set is tagged as being appropriate for beginners engaging in introductory data analytics and statistical studies.
Dataset Name Suggestions
- Vietnamese Residential Property Details 2024
- Vietnam House Price Index Data
- South East Asian Property Listing Data
- Vietnamese Housing Attributes
Attributes
Original Data Source: South East Asian Property Listing Data
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