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Arth
City in Schwyz, Switzerland
Overview
Arth is a picturesque lakeside town in the Canton of Schwyz, set between Lake Zug and the base of Mount Rigi. Known for its serene atmosphere and stunning natural surroundings, Arth offers a blend of historical charm and outdoor adventure opportunities.
Geographic Context
Jurisdiction
Switzerland
Canton
Schwyz
Population
11,983
Time Zone
Europe/Zurich
Coordinates
47.06°, 8.52°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$3,440
Local Cost
$2,292
Local Income
$4,700
Cashless
90
English
70
Temperature
5.8°C
Summer Avg
15.0°C
Winter Avg
-3.7°C
Record High
30.1°C
Record Low
-28.1°C
Humidity
81%
Precipitation
1536 mm
Internet Speed
217 Mbps
Upload
108 Mbps
Latency
6 ms
City Vibrancy
9
Coworking
0
Cafes
4
Nightlife
4
Parks
1
Transport
100
Walk Score
100
Footways
227.0
Airport
BXO
Distance
14 km
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsData 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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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