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Xiaodian
City in Shanxi, China
Overview
Xiaodian, a district in Shanxi Province, China, offers a blend of new development and traditional northern Chinese culture. Its dynamic neighborhoods, proximity to educational institutions, and local markets make it attractive for visitors seeking an authentic experience.
Geographic Context
Jurisdiction
China
Province
Shanxi
Population
—
Time Zone
Asia/Shanghai
Coordinates
37.73°, 112.57°
Key Metrics
Safety Score · estimate
80
Female Safety
70
LGBTQ+ Safety
40
Traffic Safety
65
Food Safety
70
Monthly Cost · estimate
$819
Local Cost
$390
Local Income
$400
Cashless
90
English
20
Temperature
10.2°C
Summer Avg
23.3°C
Winter Avg
-3.8°C
Record High
41.9°C
Record Low
-24.6°C
Humidity
56%
Precipitation
504 mm
Internet Speed
741 Mbps
Upload
47 Mbps
Latency
23 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
0
Walk Score
0
Footways
—
Airport
TYN
Distance
6 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 2025-12-09.
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 2026-03-23.
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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