Hindusthan Cables Town
City in West Bengal, India
Overview
Hindusthan Cables Town is a small industrial township in West Bengal, famous for its roots in the cable manufacturing sector. The city offers a peaceful suburban atmosphere with simple living and local Indian charm. Community parks and busy local markets reflect the daily rhythms of life.
Geographic Context
Jurisdiction
India
State
West Bengal
Population
22,599
Time Zone
Asia/Kolkata
Coordinates
23.82°, 86.90°
Key Metrics
Safety Score · estimate
55
Female Safety
40
LGBTQ+ Safety
25
Traffic Safety
45
Food Safety
45
Monthly Cost · estimate
$254
Local Cost
$150
Local Income
$110
Cashless
35
English
25
Temperature
25.2°C
Summer Avg
29.2°C
Winter Avg
17.6°C
Record High
46.5°C
Record Low
1.8°C
Humidity
66%
Precipitation
1326 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
RDP
Distance
41 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.