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Dingxiang
City in Shanxi, China
Overview
Dingxiang is a mid-sized county-level city in Shanxi Province, known for its traditional architecture, lively local markets, and authentic northern Chinese culture. Life here is slower-paced than in major cities, but it's a friendly destination to explore real Chinese daily life and regional history.
Geographic Context
Jurisdiction
China
Province
Shanxi
Population
193,997
Time Zone
Asia/Shanghai
Coordinates
38.53°, 113.00°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
70
Monthly Cost · estimate
$644
Local Cost
$255
Local Income
$450
Cashless
60
English
20
Temperature
9.2°C
Summer Avg
22.5°C
Winter Avg
-5.2°C
Record High
41.7°C
Record Low
-24.3°C
Humidity
56%
Precipitation
515 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
WUT
Distance
8 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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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