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Jinniu

City in Sichuan, China

Overview

Jinniu is a dynamic urban district in Chengdu, Sichuan, blending modern amenities with local traditions. Known for its busy markets, verdant parks, and easy access to city landmarks, it's popular among both locals and visitors.

Geographic Context

Jurisdiction
China
Province
Sichuan
Population
1,265,398
Time Zone
Asia/Shanghai
Coordinates
30.69°, 104.05°

Key Metrics

Safety Score
66
Female Safety
58
LGBTQ+ Safety
38
Traffic Safety
50
Food Safety
78
Monthly Cost
$999
Local Cost
$467
Local Income
$800
Cashless
95
English
32
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
240 Mbps
Upload
63 Mbps
Latency
11 ms
City Vibrancy
39
Coworking
0
Cafes
21
Nightlife
3
Parks
15
Transport
0
Walk Score
0
Footways
Airport
CTU
Distance
18 km

Neighborhoods

Mapped

49 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 16 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 - 49 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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