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Chitwan

City in Bagmati, Nepal

Overview

Chitwan, located in Nepal's Bagmati Province, is best known for its rich biodiversity, lush jungles, and the acclaimed Chitwan National Park. With a mix of lively towns, indigenous Tharu culture, and wildlife experiences, it offers an immersive adventure for travelers seeking both nature and Nepali hospitality.

Geographic Context

Jurisdiction
Nepal
Province
Bagmati
Population
719,859
Time Zone
Asia/Kathmandu
Coordinates
27.62°, 84.03°

Key Metrics

Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
45
Food Safety
55
Monthly Cost · estimate
$447
Local Cost
$210
Local Income
$200
Cashless
30
English
35
Temperature
24.9°C
Summer Avg
29.9°C
Winter Avg
16.8°C
Record High
46.3°C
Record Low
0.9°C
Humidity
56%
Precipitation
1408 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MEY
Distance
20 km

Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Data sources

Source-backed data

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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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