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Titagarh
City in West Bengal, India
Overview
Titagarh is a riverside industrial city in the North 24 Parganas district of West Bengal, India. Known for its jute mills and proximity to Kolkata, Titagarh features a blend of local culture, historical ghats, and a busy urban core.
Geographic Context
Jurisdiction
India
State
West Bengal
Population
116,541
Time Zone
Asia/Kolkata
Coordinates
22.74°, 88.37°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
40
Traffic Safety
40
Food Safety
35
Monthly Cost · estimate
$389
Local Cost
$198
Local Income
$180
Cashless
40
English
30
Temperature
25.8°C
Summer Avg
28.9°C
Winter Avg
19.0°C
Record High
46.8°C
Record Low
3.4°C
Humidity
74%
Precipitation
1565 mm
Internet Speed
50 Mbps
Upload
49 Mbps
Latency
5 ms
City Vibrancy
24
Coworking
0
Cafes
0
Nightlife
0
Parks
24
Transport
0
Walk Score
0
Footways
—
Airport
CCU
Distance
12 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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