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Kaihua

City in Yunnan, China

Overview

Kaihua is a pleasant mid-sized city in Yunnan, known for its lush greenery, easygoing pace, and access to scenic countryside. It combines authentic local culture with growing modern amenities, making it an inviting gateway to the region's natural beauty.

Geographic Context

Jurisdiction
China
Province
Yunnan
Population
258,810
Time Zone
Asia/Shanghai
Coordinates
23.37°, 104.28°

Key Metrics

Safety Score · estimate
65
Female Safety
62
LGBTQ+ Safety
32
Traffic Safety
55
Food Safety
68
Monthly Cost · estimate
$587
Local Cost
$247
Local Income
$420
Cashless
78
English
25
Temperature
16.6°C
Summer Avg
21.4°C
Winter Avg
10.2°C
Record High
35.3°C
Record Low
-6.8°C
Humidity
80%
Precipitation
1081 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
WNH
Distance
22 km

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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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