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Lavaux-Oron District

City in Vaud, Switzerland

Overview

Lavaux-Oron District is a picturesque stretch along Lake Geneva, celebrated for its UNESCO-listed terraced vineyards, charming villages, and tranquil lifestyles. With easy rail access to Lausanne and Montreux, it blends culture, nature, and culinary excellence.

Geographic Context

Jurisdiction
Switzerland
Canton
Vaud
Population
63,446
Time Zone
Europe/Zurich
Coordinates
46.54°, 6.77°

Key Metrics

Safety Score · estimate
95
Female Safety
94
LGBTQ+ Safety
92
Traffic Safety
90
Food Safety
100
Monthly Cost · estimate
$3,625
Local Cost
$2,430
Local Income
$5,300
Cashless
96
English
80
Temperature
7.3°C
Summer Avg
16.2°C
Winter Avg
-1.8°C
Record High
33.1°C
Record Low
-26.0°C
Humidity
79%
Precipitation
1174 mm
Internet Speed
510 Mbps
Upload
436 Mbps
Latency
3 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
VIP
Distance
36 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.

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: 82/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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