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Morges
City in Vaud, Switzerland
Overview
Morges is a picturesque lakeside town in the Vaud canton of Switzerland, known for its flower-lined promenades, annual tulip festival, and stunning views of Lake Geneva and the Alps. The city boasts a historic old town, relaxed ambiance, and a lively cultural calendar.
Geographic Context
Jurisdiction
Switzerland
Canton
Vaud
Population
15,705
Time Zone
Europe/Zurich
Coordinates
46.51°, 6.50°
Key Metrics
Safety Score
92
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
98
Monthly Cost
$3,515
Local Cost
$2,380
Local Income
$4,700
Cashless
94
English
72
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
142 Mbps
Upload
68 Mbps
Latency
10 ms
City Vibrancy
48
Coworking
0
Cafes
17
Nightlife
10
Parks
21
Transport
100
Walk Score
100
Footways
879.0
Airport
GVA
Distance
43 km
Explore
Neighborhoods
PartialCoverage is incomplete — additional neighborhoods are being added as more source data is processed.
Coverage is incomplete — more neighborhoods are being added.
View all 4 neighborhoodsFrequently 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 12 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 - 4 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 76/100.
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