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Xiangyun
City in Yunnan, China
Overview
Xiangyun is a small, peaceful town in Yunnan province characterized by rural landscapes, historic villages, and a tranquil pace of life. The town is perfect for travelers seeking authentic local culture and natural beauty away from tourist crowds.
Geographic Context
Jurisdiction
China
Province
Yunnan
Population
1,800
Time Zone
Asia/Shanghai
Coordinates
25.49°, 100.55°
Key Metrics
Safety Score · estimate
75
Female Safety
62
LGBTQ+ Safety
35
Traffic Safety
68
Food Safety
70
Monthly Cost · estimate
$330
Local Cost
$200
Local Income
$350
Cashless
78
English
15
Temperature
14.7°C
Summer Avg
20.1°C
Winter Avg
7.8°C
Record High
33.8°C
Record Low
-6.9°C
Humidity
70%
Precipitation
840 mm
Internet Speed
93 Mbps
Upload
13 Mbps
Latency
102 ms
City Vibrancy
19
Coworking
0
Cafes
7
Nightlife
0
Parks
12
Transport
28
Walk Score
28
Footways
55.0
Airport
DLU
Distance
29 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 2025-12-08.
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 2026-03-22.
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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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