Ennenda
City in Glarus, Switzerland
Overview
Ennenda is a picturesque Swiss village set in the canton of Glarus, surrounded by striking Alpine scenery and steeped in a rich industrial heritage. With its well-preserved historic structures and peaceful ambiance, it offers a quintessential Swiss small-town experience just minutes from the regional capital.
Geographic Context
Jurisdiction
Switzerland
Canton
Glarus
Population
2,637
Time Zone
Europe/Zurich
Coordinates
47.03°, 9.08°
Key Metrics
Safety Score · estimate
96
Female Safety
92
LGBTQ+ Safety
83
Traffic Safety
92
Food Safety
100
Monthly Cost · estimate
$2,805
Local Cost
$2,090
Local Income
$4,700
Cashless
87
English
70
Temperature
4.4°C
Summer Avg
13.6°C
Winter Avg
-5.1°C
Record High
35.8°C
Record Low
-28.7°C
Humidity
84%
Precipitation
1427 mm
Internet Speed
362 Mbps
Upload
185 Mbps
Latency
9 ms
City Vibrancy
21
Coworking
1
Cafes
9
Nightlife
8
Parks
3
Transport
98
Walk Score
98
Footways
196.0
Airport
—
Distance
—
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.