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Emmer-Compascuum

City in Drenthe, Netherlands

Overview

Emmer-Compascuum is a quiet village in the Drenthe province, known for its scenic canals, rural Dutch charm, and inviting community atmosphere. Visitors will find a relaxed pace of life, wide open spaces, and easy access to nature.

Geographic Context

Jurisdiction
Netherlands
Province
Drenthe
Population
8,130
Time Zone
Europe/Amsterdam
Coordinates
52.81°, 7.05°

Key Metrics

Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
85
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$2,088
Local Cost
$1,250
Local Income
$2,300
Cashless
85
English
80
Temperature
9.8°C
Summer Avg
17.3°C
Winter Avg
2.5°C
Record High
35.3°C
Record Low
-16.6°C
Humidity
85%
Precipitation
791 mm
Internet Speed
130 Mbps
Upload
142 Mbps
Latency
9 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
318.0
Airport
GRQ
Distance
47 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 8 tests. 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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