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Bama
City in Guangxi, China
Overview
Bama, located in Guangxi, China, is renowned for the exceptional longevity of its residents and scenic landscapes dotted with karst hills, rivers, and caves. A center of wellness tourism, it's known for its slow pace, healthy lifestyle, and unique blend of Yao and Zhuang minority cultures.
Geographic Context
Jurisdiction
China
Autonomous Region
Guangxi
Population
—
Time Zone
Asia/Shanghai
Coordinates
24.14°, 107.26°
Key Metrics
Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$468
Local Cost
$227
Local Income
$350
Cashless
65
English
10
Temperature
19.7°C
Summer Avg
25.9°C
Winter Avg
11.5°C
Record High
40.2°C
Record Low
-9.8°C
Humidity
79%
Precipitation
1463 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
8.0
Airport
—
Distance
—
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 2026-03-21.
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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