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Wallisellen

City in Zürich, Switzerland

Overview

Wallisellen is a lively suburb of Zürich, blending modern amenities with quiet residential streets. Known for the Glattzentrum mall and excellent public transportation links, it offers a relaxed alternative to city life while remaining close to Zürich's urban attractions.

Geographic Context

Jurisdiction
Switzerland
Canton
Zürich
Population
16,315
Time Zone
Europe/Zurich
Coordinates
47.41°, 8.60°

Key Metrics

Safety Score
95
Female Safety
93
LGBTQ+ Safety
85
Traffic Safety
93
Food Safety
99
Monthly Cost
$3,675
Local Cost
$2,422
Local Income
$5,200
Cashless
97
English
89
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
335 Mbps
Upload
279 Mbps
Latency
5 ms
City Vibrancy
32
Coworking
1
Cafes
17
Nightlife
4
Parks
10
Transport
100
Walk Score
100
Footways
1065.0
Airport
ZRH
Distance
6 km

Neighborhoods

Partial

Coverage is incomplete — additional neighborhoods are being added as more source data is processed.

Coverage is incomplete — more neighborhoods are being added.

View all 1 neighborhoods

Frequently Asked Questions

Data sources

Source-backed data

NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 79 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 1 source-backed neighborhood entities are available for this city. Updated 2026-03-25.

Estimated data

Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 87/100.

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