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Sihong

City in Jiangsu, China

Overview

Sihong, located in Jiangsu Province, is a mid-sized Chinese city known for its tranquil landscapes, waterways, and emerging urban scene. With a mix of cultural landmarks and modern amenities, Sihong offers visitors a unique glimpse into contemporary Chinese city life off the typical tourist trail.

Geographic Context

Jurisdiction
China
Province
Jiangsu
Population
858,740
Time Zone
Asia/Shanghai
Coordinates
33.48°, 118.21°

Key Metrics

Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
80
Monthly Cost · estimate
$773
Local Cost
$356
Local Income
$700
Cashless
85
English
20
Temperature
15.2°C
Summer Avg
26.9°C
Winter Avg
2.3°C
Record High
41.3°C
Record Low
-15.7°C
Humidity
73%
Precipitation
966 mm
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
22
Walk Score
22
Footways
43.0
Airport
Distance

Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Data sources

Source-backed data

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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