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Maoxian
City in Sichuan, China
Overview
Maoxian is a small county town in Sichuan, China, known for its rich Qiang heritage and surrounding mountain scenery. It is a gateway to traditional ethnic villages, natural hot springs, and picturesque hiking trails, suited to those seeking authentic rural Chinese culture.
Geographic Context
Jurisdiction
China
Province
Sichuan
Population
—
Time Zone
Asia/Shanghai
Coordinates
31.68°, 103.85°
Key Metrics
Safety Score · estimate
75
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$581
Local Cost
$298
Local Income
$420
Cashless
70
English
10
Temperature
7.3°C
Summer Avg
15.9°C
Winter Avg
-2.1°C
Record High
26.9°C
Record Low
-15.4°C
Humidity
80%
Precipitation
898 mm
Internet Speed
249 Mbps
Upload
38 Mbps
Latency
22 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
—
Distance
—
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 2026-03-22.
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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