Dark Mode
Lahore Residential Property Prices
Comodities & Real Estate
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Residential property data details housing prices in Lahore, Pakistan, derived from a popular online real estate portal. This collection consists of over 17,000 unique house listings, focusing on six distinct features relevant to property valuation. The information serves as an excellent resource for those studying urban real estate trends or developing statistical models.
Columns
- house_id: A unique identifier for each residential listing.
- Type: Specifies the structure type, primarily House (93%) or Flat (7%).
- Location: The specific geographic area within Lahore where the property is situated. There are 324 unique locations captured.
- Area: The size of the property, typically recorded in units like Marla or Kanal.
- Bath(s): The total number of bathrooms available in the unit; the average count is approximately 4.72.
- Bedroom(s): The total number of bedrooms in the property; the mean count is around 4.18.
- Price: The listing price of the house, stated in Pakistani rupee (PKR). Prices range widely, starting from 115k PKR up to 717m PKR.
Distribution
The data is structured as a CSV file, named
lahore\_housing\_prices.csv, and is approximately 1.2 MB in size. It contains 7 columns and 17,200 valid records detailing the residential property listings. All columns maintain 100% validity, with no records reported as missing.Usage
This data is highly suitable for Regression modelling, particularly for predicting real estate prices based on property features. It is also valuable for general Data Analytics and Data Visualization of urban housing supply and pricing trends, and supports Data Storytelling focused on the Lahore property market dynamics.
Coverage
The geographic scope is limited strictly to Lahore, Pakistan, covering properties across over 300 locations. The most frequently observed locations include DHA Defence (28%) and Bahria Town (10%). The primary property types are Houses and Flats. The data is expected to be updated Annually.
License
CC0: Public Domain.
Who Can Use It
- Data Scientists and Machine Learning Engineers for training and validating price prediction algorithms.
- Real Estate Market Analysts seeking detailed local insights into pricing, location distribution, and property specifications.
- Students and Academics conducting research on urban economics and housing affordability in South Asia.
Dataset Name Suggestions
- Lahore Residential Property Prices
- Pakistan Housing Market Listings
- Lahore Real Estate Values
- Residential Prices in Lahore
Attributes
Original Data Source: Lahore Residential Property Prices
QUALITYLoading...