Arlesheim
City in Basel-Land, Switzerland
Overview
Arlesheim is a charming town just outside Basel, known for its historic cathedral, beautiful gardens, and relaxed Swiss village life. It offers an attractive blend of culture, history, and easy access to nature. With its proximity to Basel, Arlesheim is ideal for those seeking tranquility while staying close to city amenities.
Geographic Context
Jurisdiction
Switzerland
Canton
Basel-Land
Population
9,124
Time Zone
Europe/Zurich
Coordinates
47.49°, 7.62°
Key Metrics
Safety Score · estimate
95
Female Safety
92
LGBTQ+ Safety
90
Traffic Safety
93
Food Safety
100
Monthly Cost · estimate
$3,512
Local Cost
$2,318
Local Income
$4,700
Cashless
92
English
80
Temperature
8.9°C
Summer Avg
17.8°C
Winter Avg
0.0°C
Record High
34.3°C
Record Low
-19.0°C
Humidity
83%
Precipitation
1061 mm
Internet Speed
97 Mbps
Upload
92 Mbps
Latency
9 ms
City Vibrancy
13
Coworking
0
Cafes
4
Nightlife
1
Parks
8
Transport
100
Walk Score
100
Footways
270.0
Airport
BSL;MLH;EAP
Distance
14 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.