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Deqin

City in Yunnan, China

Overview

Deqin, set in the mountainous north of Yunnan near the border with Tibet, is renowned for its stunning alpine scenery and gateway access to Meili Snow Mountain. The town is a cultural mosaic of Tibetan and Chinese influences and is a hub for trekking and spiritual tourism.

Geographic Context

Jurisdiction
China
Province
Yunnan
Population
54,736
Time Zone
Asia/Shanghai
Coordinates
28.48°, 98.92°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
35
Food Safety
40
Monthly Cost · estimate
$497
Local Cost
$251
Local Income
$400
Cashless
40
English
15
Temperature
3.9°C
Summer Avg
11.1°C
Winter Avg
-3.4°C
Record High
23.7°C
Record Low
-21.0°C
Humidity
74%
Precipitation
664 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—

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 2025-12-06.

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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