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Qingcheng
City in Gansu, China
Overview
Qingcheng is a welcoming city in Gansu Province known for its river views, local cuisine, and relaxed way of life. Its mix of traditional markets, scenic walks, and authentic neighborhoods promise an immersive rural China experience. It's off the beaten path, ideal for those looking to discover Gansu beyond the tourist circuit.
Geographic Context
Jurisdiction
China
Province
Gansu
Population
—
Time Zone
Asia/Shanghai
Coordinates
36.04°, 107.67°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
70
Monthly Cost · estimate
$525
Local Cost
$295
Local Income
$320
Cashless
80
English
10
Temperature
9.7°C
Summer Avg
21.9°C
Winter Avg
-3.3°C
Record High
39.3°C
Record Low
-22.4°C
Humidity
60%
Precipitation
554 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
IQN
Distance
27 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 2025-12-09.
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 2026-03-23.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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