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Xiannü
City in Taiwan, China
Overview
Xiannü is a lively city in Taiwan, China, offering a unique blend of tradition and modernity. With its historic markets, riverside nightlife, and tranquil residential neighborhoods, Xiannü provides an authentic experience of local Taiwanese culture.
Geographic Context
Jurisdiction
China
Province
Taiwan
Population
83,936
Time Zone
Asia/Shanghai
Coordinates
32.43°, 119.56°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
45
Food Safety
65
Monthly Cost · estimate
$925
Local Cost
$485
Local Income
$550
Cashless
35
English
15
Temperature
15.7°C
Summer Avg
26.9°C
Winter Avg
3.3°C
Record High
39.6°C
Record Low
-13.7°C
Humidity
76%
Precipitation
1116 mm
Internet Speed
588 Mbps
Upload
57 Mbps
Latency
18 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
YTY
Distance
21 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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