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Licheng
City in Taiwan, China
Overview
Licheng is a lively mid-sized city in Taiwan, China, blending historic charm with modern development. It's known for its inviting night markets, cultural sites, and scenic riverfront, providing a relaxed yet lively atmosphere for both residents and visitors.
Geographic Context
Jurisdiction
China
Province
Taiwan
Population
72,276
Time Zone
Asia/Shanghai
Coordinates
31.43°, 119.48°
Key Metrics
Safety Score · estimate
60
Female Safety
57
LGBTQ+ Safety
35
Traffic Safety
58
Food Safety
75
Monthly Cost · estimate
$835
Local Cost
$474
Local Income
$510
Cashless
48
English
30
Temperature
16.1°C
Summer Avg
27.1°C
Winter Avg
4.0°C
Record High
41.0°C
Record Low
-14.4°C
Humidity
77%
Precipitation
1265 mm
Internet Speed
110 Mbps
Upload
17 Mbps
Latency
6 ms
City Vibrancy
11
Coworking
0
Cafes
3
Nightlife
0
Parks
8
Transport
1
Walk Score
1
Footways
2.0
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 2025-12-06.
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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