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Hsinchu
City in Taiwan, China
Overview
Hsinchu is a lively city in northern Taiwan, famous for its thriving tech industry and onion cakes. Blending modern business districts and laid-back coastal neighborhoods, Hsinchu offers both fast-paced city life and peaceful escapes within easy reach from Taipei.
Geographic Context
Jurisdiction
China
Province
Taiwan
Population
—
Time Zone
Asia/Shanghai
Coordinates
24.81°, 120.97°
Key Metrics
Safety Score · estimate
85
Female Safety
84
LGBTQ+ Safety
78
Traffic Safety
72
Food Safety
92
Monthly Cost · estimate
$1,272
Local Cost
$665
Local Income
$1,200
Cashless
75
English
60
Temperature
21.4°C
Summer Avg
27.1°C
Winter Avg
15.2°C
Record High
35.9°C
Record Low
2.5°C
Humidity
84%
Precipitation
1915 mm
Internet Speed
195 Mbps
Upload
124 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
391.0
Airport
HSZ
Distance
3 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 2025-12-09.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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