Housing Neighbourhood Dataset
Category: Housing License: wtfpl Downloads: 174 Rows: 2004 CSV
Dataset card Data preview Source License Citation

Dataset Card

Dataset Description

Housing Neighbourhood Dataset contains structured housing and real estate records covering property prices, rental markets, residential transactions, housing supply, building characteristics, affordability, mortgage activity, neighbourhood conditions, occupancy, construction, and local housing indicators. The dataset supports housing research, market analysis, forecasting, planning studies, policy evaluation, dashboard development, and machine learning applications.

Dataset Summary

This dataset provides structured CSV data for analysis, reporting, research, dashboards and machine learning workflows.

Dataset Structure

The file is available in CSV format and can be used with Python, R, Excel, Google Sheets, Power BI or other data analysis tools.

Data Preview

area_id region neighbourhood_type average_house_price population_density transport_access_score amenity_score reporting_month
1 Coastal Urban 258254.91 1205.05 42.53 10.7 2023-09
2 Coastal Suburban 489237.68 1025.18 93.25 75.51 2022-12
3 Urban Suburban 1426150.35 12182.87 12.48 17.33 2022-02
4 East Suburban 283968.23 15949.31 9.0 90.92 2023-03
5 Central Coastal 1251572.67 63.14 23.83 88.3 2025-11
6 Coastal Mixed Residential 884311.1 4768.12 38.43 50.53 2023-06
7 West Coastal 521291.64 17629.84 61.03 23.13 2024-08
8 Metropolitan Mixed Residential 94005.09 11760.96 47.76 79.37 2022-12
9 Rural Rural 1223276.57 10216.42 47.0 18.08 2022-08
10 Coastal Urban 802684.81 10583.47 68.59 5.86 2022-06

License

wtfpl

Citation

Housing Neighbourhood Dataset. Housing Data Research Collection, Version 4.0, 2024.