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Ruichang

City in Jiangxi, China

Overview

Ruichang is a mid-sized city in Jiangxi province, set near the banks of the Yangtze River. The city blends local industries with picturesque riverfront parks, offering visitors an authentic slice of everyday Chinese life. It's a gateway to natural sites and lesser-known cultural spots.

Geographic Context

Jurisdiction
China
Province
Jiangxi
Population
403,655
Time Zone
Asia/Shanghai
Coordinates
29.62°, 115.46°

Key Metrics

Safety Score · estimate
60
Female Safety
68
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
72
Monthly Cost · estimate
$699
Local Cost
$355
Local Income
$525
Cashless
83
English
15
Temperature
17.1°C
Summer Avg
27.2°C
Winter Avg
5.7°C
Record High
37.7°C
Record Low
-11.6°C
Humidity
80%
Precipitation
1744 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
JIU
Distance
37 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 2025-12-06.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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