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Bäch
City in Schwyz, Switzerland
Overview
Bäch is a picturesque lakeside village in the canton of Schwyz, Switzerland, known for its serene atmosphere, elegant homes, and proximity to the beautiful waters of Lake Zurich. The town offers a perfect blend of traditional Swiss charm and modern amenities, making it an ideal destination for relaxation and nature-inspired activities.
Geographic Context
Jurisdiction
Switzerland
Canton
Schwyz
Population
—
Time Zone
Europe/Zurich
Coordinates
47.20°, 8.73°
Key Metrics
Safety Score · estimate
94
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
92
Food Safety
100
Monthly Cost · estimate
$3,465
Local Cost
$2,440
Local Income
$4,300
Cashless
94
English
83
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
413 Mbps
Upload
232 Mbps
Latency
10 ms
City Vibrancy
15
Coworking
0
Cafes
2
Nightlife
10
Parks
3
Transport
62
Walk Score
62
Footways
124.0
Airport
ZRH
Distance
32 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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