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Jing'an
City in Jiangxi, China
Overview
Jing'an is a mid-sized city in Jiangxi, offering a mix of modern conveniences and a slow-paced rural lifestyle. Known for tea cultivation, picturesque landscapes, and friendly locals, the city provides a genuine glimpse of central China's charm. Bazaars, temples, and leafy parks dot the cityscape.
Geographic Context
Jurisdiction
China
Province
Jiangxi
Population
975,707
Time Zone
Asia/Shanghai
Coordinates
28.96°, 115.24°
Key Metrics
Safety Score · estimate
70
Female Safety
62
LGBTQ+ Safety
35
Traffic Safety
58
Food Safety
68
Monthly Cost · estimate
$600
Local Cost
$297
Local Income
$510
Cashless
92
English
18
Temperature
15.8°C
Summer Avg
25.5°C
Winter Avg
4.8°C
Record High
36.4°C
Record Low
-14.4°C
Humidity
81%
Precipitation
1742 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Explore
Neighborhoods
Mapped18 neighborhoods sourced from Overture Maps and OpenStreetMap.
View neighborhoodsData 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.
Overture Maps and OpenStreetMap - 18 source-backed neighborhood entities are available for this city. Record updated 2026-04-04.
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: 51/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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