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Jiangnan
City in Guangxi, China
Overview
Jiangnan in Guangxi is a dynamic urban district known for its blend of modern business infrastructure and traditional local flavor. From scenic lakes to busy marketplaces, it offers a taste of both contemporary China and regional heritage.
Geographic Context
Jurisdiction
China
Autonomous Region
Guangxi
Population
—
Time Zone
Asia/Shanghai
Coordinates
22.78°, 108.27°
Key Metrics
Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
70
Monthly Cost · estimate
$718
Local Cost
$269
Local Income
$340
Cashless
80
English
25
Temperature
21.7°C
Summer Avg
27.4°C
Winter Avg
13.8°C
Record High
41.6°C
Record Low
-5.5°C
Humidity
78%
Precipitation
1388 mm
Internet Speed
309 Mbps
Upload
56 Mbps
Latency
31 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
7
Walk Score
7
Footways
13.0
Airport
NNG
Distance
23 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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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