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Gunzwil

City in Lucerne, Switzerland

Overview

Gunzwil is a charming rural village in the Swiss canton of Lucerne, known for its peaceful ambiance, picturesque landscapes, and close-knit community. It offers a taste of authentic Swiss countryside with easy access to walking trails and local traditions.

Geographic Context

Jurisdiction
Switzerland
Canton
Lucerne
Population
1,925
Time Zone
Europe/Zurich
Coordinates
47.21°, 8.18°

Key Metrics

Safety Score · estimate
95
Female Safety
92
LGBTQ+ Safety
85
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$2,810
Local Cost
$1,820
Local Income
$5,400
Cashless
95
English
65
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
277 Mbps
Upload
116 Mbps
Latency
5 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
23
Walk Score
23
Footways
46.0
Airport
EML
Distance
16 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 18 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 2026-03-22.
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: 83/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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