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Mettmenstetten
City in Zürich, Switzerland
Overview
Mettmenstetten is a picturesque Swiss village in the canton of Zürich, offering a blend of rural tranquility and easy access to urban amenities. With its historic center and lush green surroundings, it's favored by families and commuters alike. The community spirit and beautiful landscapes make it popular for nature-loving visitors.
Geographic Context
Jurisdiction
Switzerland
Canton
Zürich
Population
5,094
Time Zone
Europe/Zurich
Coordinates
47.25°, 8.46°
Key Metrics
Safety Score · estimate
94
Female Safety
93
LGBTQ+ Safety
84
Traffic Safety
90
Food Safety
100
Monthly Cost · estimate
$3,540
Local Cost
$2,360
Local Income
$5,000
Cashless
92
English
82
Temperature
5.8°C
Summer Avg
15.0°C
Winter Avg
-3.7°C
Record High
30.1°C
Record Low
-28.1°C
Humidity
81%
Precipitation
1536 mm
Internet Speed
222 Mbps
Upload
73 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
242.0
Airport
EML
Distance
21 km
Explore
Data sources
Source-backed data
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: 85/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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