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Werl
City in North Rhine-Westphalia, Germany
Overview
Werl is a charming town in North Rhine-Westphalia, Germany, rich in history and tradition. A blend of tranquil residential areas and a lively center, Werl boasts beautiful churches, green spaces, and friendly local hospitality.
Geographic Context
Jurisdiction
Germany
Land
North Rhine-Westphalia
Population
30,938
Time Zone
Europe/Berlin
Coordinates
51.55°, 7.91°
Key Metrics
Safety Score · estimate
88
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
96
Monthly Cost · estimate
$2,055
Local Cost
$1,055
Local Income
$2,550
Cashless
75
English
60
Temperature
9.1°C
Summer Avg
17.6°C
Winter Avg
1.0°C
Record High
38.0°C
Record Low
-18.4°C
Humidity
83%
Precipitation
844 mm
Internet Speed
99 Mbps
Upload
28 Mbps
Latency
12 ms
City Vibrancy
20
Coworking
0
Cafes
8
Nightlife
4
Parks
8
Transport
0
Walk Score
0
Footways
—
Airport
DTM
Distance
21 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: 77/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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