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Beichengqu
City in Inner Mongolia, China
Overview
Beichengqu, set in Inner Mongolia's Hohhot area, is a dynamic urban district blending modern amenities with traces of Mongolian heritage. Its broad avenues, green spaces, and busy markets offer an authentic window into northern China's everyday life.
Geographic Context
Jurisdiction
China
Autonomous Region
Inner Mongolia
Population
—
Time Zone
Asia/Shanghai
Coordinates
40.44°, 113.15°
Key Metrics
Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
80
Monthly Cost · estimate
$767
Local Cost
$358
Local Income
$700
Cashless
90
English
15
Temperature
4.9°C
Summer Avg
19.6°C
Winter Avg
-10.9°C
Record High
37.3°C
Record Low
-29.5°C
Humidity
58%
Precipitation
407 mm
Internet Speed
575 Mbps
Upload
101 Mbps
Latency
42 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
18
Walk Score
18
Footways
35.0
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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