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Xiaoshi
City in Liaoning, China
Overview
Xiaoshi, located in Liaoning province, is a compact city known for its blend of local culture, historical sites, and access to picturesque parks. With a friendly community and authentic Northeastern Chinese cuisine, it's a pleasant stop for travelers exploring rural China.
Geographic Context
Jurisdiction
China
Province
Liaoning
Population
68,994
Time Zone
Asia/Shanghai
Coordinates
41.30°, 124.12°
Key Metrics
Safety Score · estimate
73
Female Safety
62
LGBTQ+ Safety
35
Traffic Safety
56
Food Safety
72
Monthly Cost · estimate
$748
Local Cost
$327
Local Income
$570
Cashless
75
English
15
Temperature
5.7°C
Summer Avg
20.9°C
Winter Avg
-11.3°C
Record High
37.8°C
Record Low
-35.9°C
Humidity
73%
Precipitation
834 mm
Internet Speed
302 Mbps
Upload
40 Mbps
Latency
38 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
2
Walk Score
2
Footways
3.0
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 2025-12-06.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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