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Dietikon / Almend
City in Zürich, Switzerland
Overview
Dietikon / Almend is a peaceful suburb of Zürich, known for its blend of residential tranquility and accessibility to urban conveniences. With scenic green spaces along the Limmat river and efficient transit connections, it's a great base for families, professionals, and nature enthusiasts alike.
Geographic Context
Jurisdiction
Switzerland
Canton
Zürich
Population
2,118
Time Zone
Europe/Zurich
Coordinates
47.40°, 8.39°
Key Metrics
Safety Score · estimate
92
Female Safety
91
LGBTQ+ Safety
88
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$3,112
Local Cost
$2,310
Local Income
$4,800
Cashless
95
English
85
Temperature
9.0°C
Summer Avg
17.9°C
Winter Avg
0.0°C
Record High
32.9°C
Record Low
-19.3°C
Humidity
83%
Precipitation
1164 mm
Internet Speed
353 Mbps
Upload
131 Mbps
Latency
9 ms
City Vibrancy
26
Coworking
1
Cafes
6
Nightlife
10
Parks
9
Transport
100
Walk Score
100
Footways
576.0
Airport
ZRH
Distance
14 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 82/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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