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Zhaosu

City in Xinjiang, China

Overview

Zhaosu is a county-level city in the Ili Kazakh Autonomous Prefecture of Xinjiang, known for its multicultural heritage and breathtaking steppe landscapes. The city is a gateway to vast grasslands, traditional Kazakh settlements, and local markets buzzing with daily activity.

Geographic Context

Jurisdiction
China
Autonomous Region
Xinjiang
Population
146,887
Time Zone
Asia/Shanghai
Coordinates
42.78°, 81.00°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
65
Food Safety
70
Monthly Cost · estimate
$649
Local Cost
$324
Local Income
$330
Cashless
60
English
10
Temperature
4.8°C
Summer Avg
15.5°C
Winter Avg
-6.8°C
Record High
33.4°C
Record Low
-25.0°C
Humidity
55%
Precipitation
273 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ZFL
Distance
39 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 2025-12-06.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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