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Bezirk Andelfingen
City in Zürich, Switzerland
Overview
Bezirk Andelfingen is a picturesque district in the canton of Zürich, characterized by charming villages, lush vineyards, and easy access to the scenic Thur and Rhine rivers. Known for its tranquil countryside, traditional Swiss atmosphere, and proximity to some of the region's top natural sights, the area is ideal for outdoor enthusiasts and those seeking a peaceful rural escape.
Geographic Context
Jurisdiction
Switzerland
Canton
Zürich
Population
—
Time Zone
Europe/Zurich
Coordinates
47.61°, 8.68°
Key Metrics
Safety Score · estimate
97
Female Safety
92
LGBTQ+ Safety
90
Traffic Safety
93
Food Safety
99
Monthly Cost · estimate
$3,420
Local Cost
$2,300
Local Income
$4,000
Cashless
85
English
83
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
ZRH
Distance
19 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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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