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Newel
City in Rhineland-Palatinate, Germany
Overview
Newel is a picturesque village in Rhineland-Palatinate, Germany, combining traditional charm with easy access to the lively city of Trier. Its serene countryside setting makes it an inviting stop for cultural and nature enthusiasts.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
2,765
Time Zone
Europe/Berlin
Coordinates
49.81°, 6.58°
Key Metrics
Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,635
Local Cost
$1,020
Local Income
$2,200
Cashless
60
English
65
Temperature
8.8°C
Summer Avg
17.5°C
Winter Avg
0.4°C
Record High
38.7°C
Record Low
-19.8°C
Humidity
83%
Precipitation
761 mm
Internet Speed
64 Mbps
Upload
25 Mbps
Latency
29 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
2
Parks
1
Transport
1
Walk Score
1
Footways
2.0
Airport
BBJ
Distance
15 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 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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