Rotkreuz
City in Zug, Switzerland
Overview
Rotkreuz is a modern, well-connected Swiss town in the canton of Zug, known for its efficient train links and proximity to Zurich and Lucerne. Popular with commuters and families, Rotkreuz balances green surroundings with business opportunities. While compact and quiet, it offers all necessary services and quick travel elsewhere in central Switzerland.
Geographic Context
Jurisdiction
Switzerland
Canton
Zug
Population
—
Time Zone
Europe/Zurich
Coordinates
47.14°, 8.43°
Key Metrics
Safety Score · estimate
95
Female Safety
93
LGBTQ+ Safety
85
Traffic Safety
92
Food Safety
99
Monthly Cost · estimate
$3,321
Local Cost
$2,520
Local Income
$4,800
Cashless
96
English
70
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
394 Mbps
Upload
213 Mbps
Latency
7 ms
City Vibrancy
17
Coworking
0
Cafes
3
Nightlife
4
Parks
10
Transport
100
Walk Score
100
Footways
535.0
Airport
EML
Distance
11 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.