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Vorderthal

City in Schwyz, Switzerland

Overview

Vorderthal is a charming village in the canton of Schwyz, surrounded by lush valleys and towering peaks. Known for its tranquility, traditional Swiss architecture, and easy access to nature, it offers an authentic glimpse into rural Swiss life.

Geographic Context

Jurisdiction
Switzerland
Canton
Schwyz
Population
1,015
Time Zone
Europe/Zurich
Coordinates
47.12°, 8.90°

Key Metrics

Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
93
Food Safety
100
Monthly Cost · estimate
$3,280
Local Cost
$1,800
Local Income
$4,200
Cashless
80
English
65
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
64 Mbps
Upload
47 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
BXO
Distance
42 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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 2026-03-23.
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.

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