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Marin-Epagnier
City in Neuchâtel, Switzerland
Overview
Marin-Epagnier lies at the northern tip of Lake Neuchâtel, blending small-town Swiss charm with easy access to nature and commerce. Well-known for its lakeside scenery, shopping options, and convenient connections to Neuchâtel city, it is ideal for both short stays and longer visits.
Geographic Context
Jurisdiction
Switzerland
Canton
Neuchâtel
Population
—
Time Zone
Europe/Zurich
Coordinates
47.01°, 7.00°
Key Metrics
Safety Score · estimate
94
Female Safety
93
LGBTQ+ Safety
87
Traffic Safety
95
Food Safety
98
Monthly Cost · estimate
$2,783
Local Cost
$1,910
Local Income
$4,400
Cashless
94
English
70
Temperature
8.1°C
Summer Avg
17.0°C
Winter Avg
-0.7°C
Record High
34.3°C
Record Low
-20.4°C
Humidity
83%
Precipitation
1152 mm
Internet Speed
545 Mbps
Upload
365 Mbps
Latency
10 ms
City Vibrancy
8
Coworking
0
Cafes
4
Nightlife
1
Parks
3
Transport
100
Walk Score
100
Footways
364.0
Airport
VIP
Distance
20 km
Explore
Data sources
Source-backed data
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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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