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Gusu
City in Jiangsu, China
Overview
Gusu (Suzhou Old Town) is the historic heart of Suzhou, famed for its classical gardens, scenic canals, and traditional architecture. The city offers a unique blend of ancient charm and modern convenience, making it a top destination in Jiangsu province.
Geographic Context
Jurisdiction
China
Province
Jiangsu
Population
—
Time Zone
Asia/Shanghai
Coordinates
31.34°, 120.61°
Key Metrics
Safety Score · estimate
76
Female Safety
70
LGBTQ+ Safety
38
Traffic Safety
65
Food Safety
89
Monthly Cost · estimate
$1,010
Local Cost
$475
Local Income
$980
Cashless
92
English
18
Temperature
16.3°C
Summer Avg
27.1°C
Winter Avg
4.6°C
Record High
40.2°C
Record Low
-11.6°C
Humidity
78%
Precipitation
1206 mm
Internet Speed
305 Mbps
Upload
60 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
19
Walk Score
19
Footways
37.0
Airport
SZV
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 2025-12-09.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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