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Kelpen-Oler
City in Limburg, Netherlands
Overview
Kelpen-Oler is a serene rural village in Limburg, Netherlands, best known for its proximity to the picturesque Leudal nature reserve and its welcoming community. With charming countryside, local heritage, and easy access to outdoor activities, it offers a quiet Dutch village experience.
Geographic Context
Jurisdiction
Netherlands
Province
Limburg
Population
1,170
Time Zone
Europe/Amsterdam
Coordinates
51.22°, 5.83°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$1,778
Local Cost
$1,230
Local Income
$2,600
Cashless
85
English
85
Temperature
10.4°C
Summer Avg
18.3°C
Winter Avg
2.6°C
Record High
40.3°C
Record Low
-16.5°C
Humidity
81%
Precipitation
770 mm
Internet Speed
191 Mbps
Upload
196 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
GKE
Distance
32 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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