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Oberwinterthur (Kreis 2) / Guggenbühl
City in Zürich, Switzerland
Overview
Oberwinterthur (Kreis 2) and Guggenbühl are residential districts in Winterthur, Zürich's industrial satellite city. They feature a blend of quiet neighborhoods, green spaces, and community spirit, with excellent access to public transport and amenities. The area is known for its calm atmosphere, proximity to nature, and reliability.
Geographic Context
Jurisdiction
Switzerland
Canton
Zürich
Population
—
Time Zone
Europe/Zurich
Coordinates
47.51°, 8.76°
Key Metrics
Safety Score · estimate
93
Female Safety
92
LGBTQ+ Safety
88
Traffic Safety
90
Food Safety
99
Monthly Cost · estimate
$3,080
Local Cost
$2,220
Local Income
$5,200
Cashless
94
English
82
Temperature
9.0°C
Summer Avg
18.0°C
Winter Avg
-0.1°C
Record High
33.5°C
Record Low
-20.8°C
Humidity
83%
Precipitation
1311 mm
Internet Speed
446 Mbps
Upload
190 Mbps
Latency
8 ms
City Vibrancy
30
Coworking
0
Cafes
8
Nightlife
1
Parks
21
Transport
100
Walk Score
100
Footways
1249.0
Airport
ZRH
Distance
17 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 2026-03-21.
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: 77/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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