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Dhaka and Chittagong Property Data
Data Science and Analytics
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About
Exploring the Bangladesh real estate market, the data features an extensive collection of house listings from various cities and regions, including Dhaka and Chittagong. It encompasses details on location, property type, size, amenities, and pricing. The dataset is updated regularly, offering an accurate and up-to-date snapshot of the housing market in Bangladesh. This resource is valuable for studying the real estate market.
Columns
- title: The title of the property, with 7497 unique values out of 7557 valid entries.
- beds: Represents the number of bedrooms. The most common values are 3 bedrooms (58%) and 2 bedrooms (32%), with 13 unique values in total across 7557 valid entries.
- bath: Denotes the number of bathrooms. The most frequent counts are 3 bathrooms (40%) and 2 bathrooms (39%), with 9 unique values from 7557 valid entries.
- area: Specifies the area size of the property. Common sizes include 1,200 sqft (7%) and 800 sqft (7%), with 478 unique area sizes among 7557 valid entries.
- adress: The address of the property. Sector 13, Uttara, Dhaka (3%) and Mirpur, Dhaka (2%) are the most common addresses, with 677 unique addresses from 7557 valid entries.
- type: Indicates the property type. Apartments constitute 99% of listings, followed by Duplexes at 1%, with 3 unique types in 7557 valid entries.
- purpose: Describes the purpose of the listing. All listings (100%) are "For Rent", making it the single unique value across 7557 valid entries.
- flooPlan: Contains the URL for the floor plan image. There are 1447 unique floor plan image URLs, with one entry missing out of 7557 total entries.
- url: The URL of the listing on the website. There are 7557 unique URLs, corresponding to all valid entries.
- lastUpdated: The date the listing was last updated. The dates range from 6th March 2020 to 22nd February 2023, with a mean update date of 2nd July 2022, across all 7557 valid entries.
- price: The price of the property. "15 Thousand" and "20 Thousand" are the most common prices (each 8%), with 157 unique price values among 7557 valid entries.
Distribution
The data is provided in a CSV format, specifically as
property_listing_data_in_Bangladesh.csv. The file size is 2.35 MB. It comprises 11 columns and consistently contains 7557 records for most entries.Usage
This data can be utilised for a variety of applications, including:
- Analysing regional price trends within the real estate market.
- Identifying popular neighbourhoods and amenities.
- Training machine learning models to predict housing prices.
Coverage
- Geographic Scope: The data covers various cities and regions within Bangladesh, specifically mentioning Dhaka and Chittagong.
- Time Range: The
lastUpdatedcolumn indicates that listing updates span from 6th March 2020 to 22nd February 2023. - Demographic Scope: The data focuses on residential property listings, relevant to individuals and entities interested in the housing market.
License
CC0: Public Domain
Who Can Use It
The data is an invaluable resource for:
- Researchers: For in-depth studies of the Bangladesh real estate market.
- Data scientists: For developing and training models for housing price prediction.
- Real estate professionals: To gain insights into market trends, popular areas, and property values.
- Investors: For informed decision-making regarding real estate investments in Bangladesh.
Dataset Name Suggestions
- Bangladesh House Listing Data
- Bangladesh Real Estate Market Listings
- Dhaka and Chittagong Property Data
- Bangladesh Housing Market Insights
Attributes
Original Data Source: Dhaka and Chittagong Property Data
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