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Årslev
City in Southern Denmark, Denmark
Overview
Årslev is a small, peaceful town in Southern Denmark known for its tight-knit community, green spaces, and convenient connections to larger cities like Odense. It offers a blend of Danish village charm and easy access to important amenities.
Geographic Context
Jurisdiction
Denmark
Region
Southern Denmark
Population
4,193
Time Zone
Europe/Copenhagen
Coordinates
55.30°, 10.46°
Key Metrics
Safety Score · estimate
93
Female Safety
92
LGBTQ+ Safety
88
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$2,220
Local Cost
$1,300
Local Income
$2,800
Cashless
93
English
80
Temperature
9.1°C
Summer Avg
16.8°C
Winter Avg
1.9°C
Record High
28.0°C
Record Low
-9.9°C
Humidity
86%
Precipitation
700 mm
Internet Speed
293 Mbps
Upload
240 Mbps
Latency
9 ms
City Vibrancy
6
Coworking
0
Cafes
1
Nightlife
2
Parks
3
Transport
52
Walk Score
52
Footways
103.0
Airport
ODE
Distance
21 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 2026-01-15.
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: 82/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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