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Chongli
City in Hebei, China
Overview
Chongli is a scenic mountain city in Hebei, China, renowned for its winter sports infrastructure, especially since hosting Olympic and international ski events. Visitors enjoy alpine views, modern resorts, and convenient amenities, making it ideal for nature lovers and outdoor enthusiasts.
Geographic Context
Jurisdiction
China
Province
Hebei
Population
105,501
Time Zone
Asia/Shanghai
Coordinates
41.04°, 115.22°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
80
Monthly Cost · estimate
$853
Local Cost
$414
Local Income
$700
Cashless
75
English
20
Temperature
4.5°C
Summer Avg
19.3°C
Winter Avg
-11.6°C
Record High
37.1°C
Record Low
-30.6°C
Humidity
59%
Precipitation
411 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ZQZ
Distance
42 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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