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Maoping
City in Hunan, China
Overview
Maoping is a quaint riverside town in Hunan Province, China, with just 2,800 residents. It offers a peaceful glimpse into rural Chinese life and traditional culture, surrounded by scenic hills and lush farmland. While small, its marketplaces, tea houses, and historic streets are welcoming to visitors.
Geographic Context
Jurisdiction
China
Province
Hunan
Population
2,800
Time Zone
Asia/Shanghai
Coordinates
26.52°, 110.41°
Key Metrics
Safety Score · estimate
70
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$444
Local Cost
$255
Local Income
$350
Cashless
85
English
10
Temperature
15.4°C
Summer Avg
24.2°C
Winter Avg
5.1°C
Record High
32.3°C
Record Low
-14.0°C
Humidity
83%
Precipitation
1470 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
WGN
Distance
39 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 2025-12-07.
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 2026-03-22.
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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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