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Xinghua

City in Jiangsu, China

Overview

Xinghua is a picturesque city in Jiangsu province, China, known for its tranquil waterways, famous rapeseed flower fields, and traditional Jiangnan water town charm. The city offers a peaceful atmosphere, blending historic sites with modern developments.

Geographic Context

Jurisdiction
China
Province
Jiangsu
Population
—
Time Zone
Asia/Shanghai
Coordinates
32.91°, 119.85°

Key Metrics

Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
78
Monthly Cost · estimate
$667
Local Cost
$290
Local Income
$720
Cashless
85
English
30
Temperature
15.2°C
Summer Avg
26.4°C
Winter Avg
2.9°C
Record High
41.5°C
Record Low
-16.0°C
Humidity
76%
Precipitation
1057 mm
City Vibrancy
8
Coworking
0
Cafes
0
Nightlife
0
Parks
8
Transport
3
Walk Score
3
Footways
5.0
Airport
YTY
Distance
41 km

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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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