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Donglan
City in Guangxi, China
Overview
Set in the hills of Guangxi, Donglan is a culturally rich county with a storied past and lush natural surroundings. Visitors can experience authentic Zhuang culture, traditional markets, and stunning riverside landscapes.
Geographic Context
Jurisdiction
China
Autonomous Region
Guangxi
Population
219,549
Time Zone
Asia/Shanghai
Coordinates
24.51°, 107.37°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$568
Local Cost
$290
Local Income
$310
Cashless
65
English
15
Temperature
18.7°C
Summer Avg
25.4°C
Winter Avg
10.1°C
Record High
36.7°C
Record Low
-10.7°C
Humidity
81%
Precipitation
1464 mm
Internet Speed
50 Mbps
Upload
50 Mbps
Latency
53 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
HCJ
Distance
47 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: 64/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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