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Shangnan
City in Shaanxi, China
Overview
Shangnan is a mid-sized town set in southern Shaanxi province, offering a blend of traditional Chinese living and emerging modernity. Its walkable streets, local markets, and proximity to scenic countryside make it appealing for travelers seeking authentic experiences away from tourist crowds.
Geographic Context
Jurisdiction
China
Province
Shaanxi
Population
—
Time Zone
Asia/Shanghai
Coordinates
33.53°, 110.88°
Key Metrics
Safety Score · estimate
75
Female Safety
60
LGBTQ+ Safety
25
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$618
Local Cost
$273
Local Income
$320
Cashless
60
English
10
Temperature
12.1°C
Summer Avg
23.4°C
Winter Avg
0.0°C
Record High
39.0°C
Record Low
-16.3°C
Humidity
70%
Precipitation
786 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 2026-03-22.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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