Alpnach
City in Obwalden, Switzerland
Overview
Alpnach is a picturesque Swiss town in the canton of Obwalden, set between Lake Lucerne and the towering Pilatus massif. Known for its stunning alpine scenery, friendly community, and convenient access to outdoor adventures, Alpnach is a laid-back destination away from the crowds of bigger cities.
Geographic Context
Jurisdiction
Switzerland
Canton
Obwalden
Population
6,109
Time Zone
Europe/Zurich
Coordinates
46.94°, 8.27°
Key Metrics
Safety Score · estimate
96
Female Safety
92
LGBTQ+ Safety
80
Traffic Safety
94
Food Safety
100
Monthly Cost · estimate
$3,035
Local Cost
$2,170
Local Income
$3,700
Cashless
90
English
78
Temperature
7.5°C
Summer Avg
16.4°C
Winter Avg
-1.5°C
Record High
31.7°C
Record Low
-23.6°C
Humidity
80%
Precipitation
1361 mm
Internet Speed
272 Mbps
Upload
126 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
42
Walk Score
42
Footways
84.0
Airport
BXO
Distance
10 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: 76/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.