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Waubach
City in Limburg, Netherlands
Overview
Waubach is a small town in South Limburg near the German border, known for its welcoming community, scenic countryside, and proximity to regional attractions. With a blend of local charm and green spaces, Waubach is ideal for relaxed rural experiences while remaining close to larger cities.
Geographic Context
Jurisdiction
Netherlands
Province
Limburg
Population
2,910
Time Zone
Europe/Amsterdam
Coordinates
50.92°, 6.05°
Key Metrics
Safety Score · estimate
83
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,885
Local Cost
$1,260
Local Income
$2,400
Cashless
88
English
70
Temperature
10.3°C
Summer Avg
18.4°C
Winter Avg
2.4°C
Record High
40.6°C
Record Low
-16.6°C
Humidity
81%
Precipitation
746 mm
Internet Speed
401 Mbps
Upload
58 Mbps
Latency
19 ms
City Vibrancy
12
Coworking
0
Cafes
4
Nightlife
3
Parks
5
Transport
64
Walk Score
64
Footways
127.0
Airport
GKE
Distance
5 km
Explore
Data sources
Source-backed data
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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