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Jha-Jha
City in Bihar, India
Overview
Jha-Jha is a modest railway town in Bihar, India, known for its busy markets and railway heritage. It's primarily a local, working-class city with strong connections to both commerce and transport in the region. Visiting offers insight into authentic small-town Indian life, away from major tourist crowds.
Geographic Context
Jurisdiction
India
State
Bihar
Population
—
Time Zone
Asia/Kolkata
Coordinates
24.77°, 86.38°
Key Metrics
Safety Score · estimate
45
Female Safety
38
LGBTQ+ Safety
32
Traffic Safety
33
Food Safety
38
Monthly Cost · estimate
$342
Local Cost
$165
Local Income
$120
Cashless
23
English
18
Temperature
25.7°C
Summer Avg
30.3°C
Winter Avg
17.6°C
Record High
47.0°C
Record Low
1.7°C
Humidity
60%
Precipitation
1035 mm
Internet Speed
56 Mbps
Upload
58 Mbps
Latency
45 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
DGH
Distance
49 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 2025-12-09.
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: 53/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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