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Kangding
City in Sichuan, China
Overview
Set in the foothills of the Tibetan Plateau, Kangding is a lively city known for its dramatic mountain scenery, Tibetan culture, and rich history as a gateway to western Sichuan. Visitors are drawn to its monasteries, busy squares, and the intersection of Han and Tibetan traditions.
Geographic Context
Jurisdiction
China
Province
Sichuan
Population
126,785
Time Zone
Asia/Shanghai
Coordinates
30.00°, 101.96°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
25
Traffic Safety
55
Food Safety
75
Monthly Cost · estimate
$652
Local Cost
$353
Local Income
$470
Cashless
85
English
20
Temperature
2.7°C
Summer Avg
9.2°C
Winter Avg
-4.2°C
Record High
23.1°C
Record Low
-26.0°C
Humidity
73%
Precipitation
1017 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
KGT
Distance
26 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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