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Caohe
City in Hubei, China
Overview
Caohe is a mid-sized city in Hubei province known for its charming riverside atmosphere, blend of traditional Chinese culture, and emerging modern districts. Visitors will enjoy its genuine local food scene, historic old town, and inviting parks.
Geographic Context
Jurisdiction
China
Province
Hubei
Population
—
Time Zone
Asia/Shanghai
Coordinates
30.23°, 115.43°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$615
Local Cost
$257
Local Income
$390
Cashless
85
English
15
Temperature
17.0°C
Summer Avg
27.2°C
Winter Avg
5.5°C
Record High
37.4°C
Record Low
-10.7°C
Humidity
79%
Precipitation
1683 mm
Internet Speed
42 Mbps
Upload
21 Mbps
Latency
32 ms
City Vibrancy
7
Coworking
0
Cafes
0
Nightlife
0
Parks
7
Transport
0
Walk Score
0
Footways
—
Airport
EHU
Distance
40 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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