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Wenjiang

City in Sichuan, China

Overview

Wenjiang is a fast-growing district in the western part of Chengdu, Sichuan, with a mix of lively urban centers, lush parks, and rich Sichuanese culture. Known for its relaxed atmosphere and proximity to top universities and historical sites, Wenjiang offers both modern amenities and local traditions.

Geographic Context

Jurisdiction
China
Province
Sichuan
Population
967,868
Time Zone
Asia/Shanghai
Coordinates
30.71°, 103.83°

Key Metrics

Safety Score
80
Female Safety
78
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
85
Monthly Cost
$878
Local Cost
$386
Local Income
$720
Cashless
95
English
25
Temperature
16.4°C
Summer Avg
25.6°C
Winter Avg
5.9°C
Record High
37.7°C
Record Low
-5.7°C
Humidity
75%
Precipitation
1176 mm
Internet Speed
145 Mbps
Upload
69 Mbps
Latency
12 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
0
Walk Score
0
Footways
Airport
CTU
Distance
20 km

Neighborhoods

Mapped

16 neighborhoods sourced from Overture Maps and OpenStreetMap.

View neighborhoods

Frequently Asked Questions

Data sources

Source-backed data

NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 16 source-backed neighborhood entities are available for this city. Updated 2026-04-04.

Estimated data

Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 72/100.

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