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Waldstatt
City in Appenzell Ausserrhoden, Switzerland
Overview
Waldstatt is a charming village set in the rolling hills of Appenzell Ausserrhoden, Switzerland, known for its beautiful scenery and close-knit community. The town offers a tranquil retreat while serving as a gateway to the surrounding Swiss countryside and hiking trails.
Geographic Context
Jurisdiction
Switzerland
Canton
Appenzell Ausserrhoden
Population
1,869
Time Zone
Europe/Zurich
Coordinates
47.36°, 9.28°
Key Metrics
Safety Score · estimate
94
Female Safety
92
LGBTQ+ Safety
83
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$2,383
Local Cost
$1,730
Local Income
$4,400
Cashless
83
English
65
Temperature
8.5°C
Summer Avg
17.5°C
Winter Avg
-0.8°C
Record High
32.6°C
Record Low
-23.2°C
Humidity
82%
Precipitation
1398 mm
Internet Speed
370 Mbps
Upload
210 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
56
Walk Score
56
Footways
111.0
Airport
ACH
Distance
25 km
Explore
Data sources
Source-backed data
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 2026-03-22.
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: 77/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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