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Monghyr
City in Bihar, India
Overview
Monghyr (Munger) is a historic riverside city in Bihar, known for its ancient forts, spiritual centers, and busy market life. It offers a mix of traditional culture and local charm, making it a unique destination for travelers interested in off-the-beaten-path Indian towns.
Geographic Context
Jurisdiction
India
State
Bihar
Population
—
Time Zone
Asia/Kolkata
Coordinates
25.37°, 86.47°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
30
Traffic Safety
35
Food Safety
45
Monthly Cost · estimate
$457
Local Cost
$212
Local Income
$180
Cashless
45
English
30
Temperature
26.0°C
Summer Avg
30.9°C
Winter Avg
17.6°C
Record High
47.0°C
Record Low
1.2°C
Humidity
59%
Precipitation
1026 mm
Internet Speed
55 Mbps
Upload
48 Mbps
Latency
23 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
1
Walk Score
1
Footways
2.0
Airport
—
Distance
—
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 2026-03-21.
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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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