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Qintang
City in Guangxi, China
Overview
Qintang is a mid-sized city in Guangxi, China, blending ancient heritage with emerging modern development. It features riverside scenery, lively markets, and a low-key local lifestyle. Visitors can experience authentic Guangxi culture through food, history, and community events.
Geographic Context
Jurisdiction
China
Autonomous Region
Guangxi
Population
—
Time Zone
Asia/Shanghai
Coordinates
23.13°, 109.45°
Key Metrics
Safety Score · estimate
72
Female Safety
65
LGBTQ+ Safety
33
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$599
Local Cost
$303
Local Income
$520
Cashless
85
English
22
Temperature
21.5°C
Summer Avg
27.4°C
Winter Avg
13.6°C
Record High
38.1°C
Record Low
-4.9°C
Humidity
80%
Precipitation
1634 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
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: 41/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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