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Gar
City in Tibet, China
Overview
Gar (Shiquanhe) is the administrative center of the Ngari Prefecture in far western Tibet, serving as a vital gateway to the region's sacred sites and high-altitude wilderness. Its mix of basic urban amenities and Tibetan charm draws both adventurers heading to Mount Kailash and those curious about life on the Tibetan Plateau.
Geographic Context
Jurisdiction
China
Autonomous Region
Tibet
Population
31,052
Time Zone
Asia/Shanghai
Coordinates
32.01°, 80.35°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
20
Traffic Safety
40
Food Safety
35
Monthly Cost · estimate
$752
Local Cost
$428
Local Income
$420
Cashless
65
English
10
Temperature
-4.1°C
Summer Avg
7.1°C
Winter Avg
-15.2°C
Record High
21.6°C
Record Low
-32.7°C
Humidity
50%
Precipitation
106 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
NGQ
Distance
30 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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