Marl
City in North Rhine-Westphalia, Germany
Overview
Marl is a mid-sized German city in North Rhine-Westphalia, known for its blend of green spaces and industrial heritage. The city boasts lively neighborhoods, strong local culture, and easy access to the wider Ruhr area.
Geographic Context
Jurisdiction
Germany
Land
North Rhine-Westphalia
Population
85,001
Time Zone
Europe/Berlin
Coordinates
51.66°, 7.09°
Key Metrics
Safety Score · estimate
85
Female Safety
83
LGBTQ+ Safety
82
Traffic Safety
80
Food Safety
97
Monthly Cost · estimate
$2,038
Local Cost
$1,110
Local Income
$2,650
Cashless
70
English
68
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
170 Mbps
Upload
24 Mbps
Latency
19 ms
City Vibrancy
28
Coworking
0
Cafes
7
Nightlife
1
Parks
20
Transport
0
Walk Score
0
Footways
—
Airport
ESS
Distance
30 km
Explore
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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.