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Ecublens

City in Vaud, Switzerland

Overview

Ecublens is a lively suburb of Lausanne in Vaud, Switzerland, blending academic energy from its universities with peaceful residential life. Its green spaces, proximity to Lake Geneva, and multicultural community make it an attractive option for families, students, and professionals.

Geographic Context

Jurisdiction
Switzerland
Canton
Vaud
Population
12,854
Time Zone
Europe/Zurich
Coordinates
46.53°, 6.56°

Key Metrics

Safety Score
94
Female Safety
91
LGBTQ+ Safety
90
Traffic Safety
92
Food Safety
98
Monthly Cost
$3,063
Local Cost
$2,130
Local Income
$4,300
Cashless
97
English
77
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
359 Mbps
Upload
192 Mbps
Latency
9 ms
City Vibrancy
56
Coworking
0
Cafes
25
Nightlife
8
Parks
23
Transport
100
Walk Score
100
Footways
911.0
Airport
VIP
Distance
44 km

Neighborhoods

Partial

Coverage is incomplete — additional neighborhoods are being added as more source data is processed.

Coverage is incomplete — more neighborhoods are being added.

View all 2 neighborhoods

Frequently Asked Questions

Data sources

Source-backed data

NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 61 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 2 source-backed neighborhood entities are available for this city. Updated 2026-03-25.

Estimated data

Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 84/100.

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