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Qingcheng
City in Guangdong, China
Overview
Qingcheng is the lively urban center of Qingyuan City in Guangdong, blending old Cantonese traditions with emerging modern comforts. The city is a gateway to lush nature spots and lakeside scenery while offering affordable living and local culture.
Geographic Context
Jurisdiction
China
Province
Guangdong
Population
—
Time Zone
Asia/Shanghai
Coordinates
23.70°, 113.06°
Key Metrics
Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
85
Monthly Cost · estimate
$758
Local Cost
$373
Local Income
$575
Cashless
85
English
20
Temperature
21.8°C
Summer Avg
27.7°C
Winter Avg
14.0°C
Record High
36.9°C
Record Low
-4.3°C
Humidity
78%
Precipitation
1880 mm
Internet Speed
23 Mbps
Upload
3 Mbps
Latency
19 ms
City Vibrancy
26
Coworking
0
Cafes
0
Nightlife
0
Parks
26
Transport
90
Walk Score
90
Footways
179.0
Airport
CAN
Distance
43 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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