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Jejur
City in West Bengal, India
Overview
Jejur is a small, lively town set in the Hooghly district of West Bengal, India. Known for its local markets, temples, and surrounding agricultural lands, it offers visitors an authentic rural Bengali experience away from the bustle of major cities.
Geographic Context
Jurisdiction
India
State
West Bengal
Population
5,173
Time Zone
Asia/Kolkata
Coordinates
22.88°, 88.12°
Key Metrics
Safety Score · estimate
60
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
50
Monthly Cost · estimate
$231
Local Cost
$116
Local Income
$120
Cashless
20
English
20
Temperature
25.7°C
Summer Avg
29.1°C
Winter Avg
18.6°C
Record High
46.8°C
Record Low
2.8°C
Humidity
72%
Precipitation
1459 mm
Internet Speed
260 Mbps
Upload
1 Mbps
Latency
34 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CCU
Distance
42 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 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
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.
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