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Sanhe
City in Hebei, China
Overview
Sanhe, located in Hebei province, sits strategically between Beijing and Tianjin, serving as a hub for commuters and businesses. The city combines rapid urban development with traditional Chinese community life, offering visitors a taste of both modernity and local culture.
Geographic Context
Jurisdiction
China
Province
Hebei
Population
—
Time Zone
Asia/Shanghai
Coordinates
39.98°, 117.07°
Key Metrics
Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
85
Monthly Cost · estimate
$688
Local Cost
$378
Local Income
$680
Cashless
90
English
15
Temperature
11.9°C
Summer Avg
26.0°C
Winter Avg
-3.4°C
Record High
42.6°C
Record Low
-19.5°C
Humidity
54%
Precipitation
553 mm
Internet Speed
89 Mbps
Upload
27 Mbps
Latency
62 ms
City Vibrancy
8
Coworking
0
Cafes
0
Nightlife
0
Parks
8
Transport
1
Walk Score
1
Footways
2.0
Airport
PEK
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 2025-12-09.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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