Wuppertal
City in North Rhine-Westphalia, Germany
Overview
Wuppertal, set in North Rhine-Westphalia, is known for its lush green valleys, steep hillsides, and iconic suspension railway, the Schwebebahn. The city blends historic charm with a modern cultural scene, offering museums, theaters, and expansive parks amidst urban life.
Geographic Context
Jurisdiction
Germany
Land
North Rhine-Westphalia
Population
358,938
Time Zone
Europe/Berlin
Coordinates
51.26°, 7.15°
Key Metrics
Safety Score
76
Female Safety
74
LGBTQ+ Safety
73
Traffic Safety
71
Food Safety
95
Monthly Cost
$2,038
Local Cost
$1,132
Local Income
$2,500
Cashless
80
English
64
Temperature
10.0°C
Summer Avg
18.0°C
Winter Avg
2.2°C
Record High
38.8°C
Record Low
-16.8°C
Humidity
83%
Precipitation
842 mm
Internet Speed
89 Mbps
Upload
51 Mbps
Latency
10 ms
City Vibrancy
115
Coworking
2
Cafes
46
Nightlife
37
Parks
30
Transport
0
Walk Score
0
Footways
—
Airport
ESS
Distance
22 km
Explore
Neighborhoods
Mapped28 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 28 neighborhoodsFrequently 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 60 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 - 28 source-backed neighborhood entities are available for this city. Updated 2026-03-21.
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 85/100.