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Wolder
City in Limburg, Netherlands
Overview
Wolder is a picturesque village on the southwestern edge of Maastricht in Limburg, Netherlands. Known for its peaceful streets and proximity to green countryside, Wolder offers visitors a blend of local charm and easy access to both Dutch and Belgian culture. Its traditional architecture and friendly atmosphere make it an inviting spot for a relaxed getaway.
Geographic Context
Jurisdiction
Netherlands
Province
Limburg
Population
—
Time Zone
Europe/Amsterdam
Coordinates
50.84°, 5.66°
Key Metrics
Safety Score · estimate
92
Female Safety
92
LGBTQ+ Safety
85
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$2,165
Local Cost
$1,330
Local Income
$2,600
Cashless
92
English
80
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
380 Mbps
Upload
215 Mbps
Latency
12 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
597.0
Airport
MST
Distance
11 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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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