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Jingxing

City in Hebei, China

Overview

Jingxing is a mid-sized city in Hebei Province, China, renowned for its mining heritage and beautiful natural surroundings, especially West Lake. The city offers a blend of traditional culture, scenic spots, and modern amenities, making it an interesting destination off the beaten path.

Geographic Context

Jurisdiction
China
Province
Hebei
Population
250,989
Time Zone
Asia/Shanghai
Coordinates
38.03°, 114.14°

Key Metrics

Safety Score · estimate
68
Female Safety
62
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
70
Monthly Cost · estimate
$547
Local Cost
$333
Local Income
$420
Cashless
85
English
18
Temperature
13.7°C
Summer Avg
27.0°C
Winter Avg
-0.9°C
Record High
44.6°C
Record Low
-18.1°C
Humidity
53%
Precipitation
533 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—

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: 57/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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