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Qapqal

City in Xinjiang, China

Overview

Qapqal is a small, culturally diverse county in China's Xinjiang region, famed for being the world's only Sibe autonomous county. The city is a gateway to unique multilingual and nomadic heritage, with a pace of life far slower than major Chinese urban centers.

Geographic Context

Jurisdiction
China
Autonomous Region
Xinjiang
Population
—
Time Zone
Asia/Shanghai
Coordinates
43.80°, 81.09°

Key Metrics

Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
65
Food Safety
75
Monthly Cost · estimate
$568
Local Cost
$266
Local Income
$450
Cashless
80
English
20
Temperature
10.9°C
Summer Avg
24.3°C
Winter Avg
-3.1°C
Record High
41.4°C
Record Low
-24.4°C
Humidity
45%
Precipitation
272 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
YIN
Distance
26 km

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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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