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Lauffohr (Brugg)

City in Aargau, Switzerland

Overview

Lauffohr is a peaceful suburb just west of Brugg in Aargau, Switzerland, known for its scenic riverside setting and community-oriented atmosphere. It's ideal for visitors seeking tranquility, with access to both nature and small-town conveniences.

Geographic Context

Jurisdiction
Switzerland
Canton
Aargau
Population
—
Time Zone
Europe/Zurich
Coordinates
47.50°, 8.23°

Key Metrics

Safety Score · estimate
95
Female Safety
93
LGBTQ+ Safety
88
Traffic Safety
92
Food Safety
100
Monthly Cost · estimate
$3,030
Local Cost
$2,140
Local Income
$5,200
Cashless
92
English
78
Temperature
9.0°C
Summer Avg
17.9°C
Winter Avg
0.0°C
Record High
32.9°C
Record Low
-19.3°C
Humidity
83%
Precipitation
1164 mm
Internet Speed
217 Mbps
Upload
79 Mbps
Latency
10 ms
City Vibrancy
4
Coworking
0
Cafes
3
Nightlife
0
Parks
1
Transport
35
Walk Score
35
Footways
70.0
Airport
ZRH
Distance
25 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 42 tests. Record updated 2025-12-05.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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