Data · dataset · 2026
Luxury Residential House Rent Dataset from Gulshan, Banani, Baridhara DOHS & Tejgaon Dhaka, Bangladesh
Listed in Teesside University Research Data Repository
Description Dataset Description This dataset contains 1699 luxury residential house rental listings collected from four of the most prestigious residential areas in Dhaka, Bangladesh: Gulshan, Banani, Baridhara DOHS & Tejgaon.
Description
These locations represent the premium housing market and consist primarily of high-end apartments and luxury residences with diverse structural, locational, and amenity-related characteristics. The dataset has been developed to support research in house rent prediction, real estate analytics, machine learning, deep learning, regression modelling, and property valuation.
It provides a comprehensive collection of property attributes that influence rental prices within Bangladesh's luxury housing market. The dataset consists of 1699 property records and 25 variables, with each record representing a unique rental property listing. Dataset Collection • Source: Publicly available luxury house rental listings from reputable real estate platforms in Bangladesh. • Coverage Area: Gulshan, Banani, and Baridhara DOHS, Tejgaon, Dhaka, Bangladesh. • Property Type: Luxury residential apartments. • Data Cleaning: Duplicate listings were removed, inconsistent values were standardised, and missing information was handled through preprocessing techniques. • Privacy: The dataset contains only publicly available property information and does not include any personally identifiable information (PII).
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Variable Description Post Title: Title of the property listing. Sq Ft: Total floor area of the property in square feet. Bedroom: Number of bedrooms.
Bathroom: Number of bathrooms. Balcony: Number of balconies. Parking: Availability or number of parking spaces.
Lift: Indicates whether elevator facilities are available. Rent Floor: Floor on which the apartment is located. Total Number of Floors: Total floors in the building.
Price: Monthly rental price. Service Charge: Monthly maintenance or service charge. Build Year: Year of construction.
Area: Residential location of the property. Extra Amenities: Additional facilities such as gym, swimming pool, rooftop access, security, 24-hour CCTV coverage, and automatic fire alarm system. Generator: Availability of generator backup.
Property Type: Type of residential property. Interior: Interior finishing or furnishing condition. Building Registration Type: Registration or ownership category of the building.
Road In Front of House: Width or type of road adjacent to the property. Gas: Availability of gas connection. Servant Room: Availability of a servant room.
Facing: Direction the property faces. Tiles: Type or quality of flooring. Drawing Room: Availability of a separate drawing/living room.
Dining Room: Availability of a separate dining room. Applications This dataset can be used for: • House rent prediction • Real estate price estimation • Comparative machine learning studies • Property valuation • Housing market analysis • Data mining and predictive analytics
Links
Where it is published
- DOI doi.org/10.17632/462xvmnd2n.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/462xvmnd2n.1 | 14 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |