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Vallorbe

City in Vaud, Switzerland

Overview

Vallorbe is a picturesque Swiss town on the edge of the Jura Mountains, well-known for its natural beauty and historical charm. It's a peaceful destination favored for outdoor activities and its unique attractions such as the Vallorbe Caves.

Geographic Context

Jurisdiction
Switzerland
Canton
Vaud
Population
3,837
Time Zone
Europe/Zurich
Coordinates
46.71°, 6.38°

Key Metrics

Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$2,215
Local Cost
$1,660
Local Income
$3,200
Cashless
85
English
55
Temperature
9.0°C
Summer Avg
18.0°C
Winter Avg
-0.1°C
Record High
35.9°C
Record Low
-20.0°C
Humidity
80%
Precipitation
1166 mm
Internet Speed
143 Mbps
Upload
14 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
230.0
Airport
VIP
Distance
43 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-06.
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.

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