Adliswil / Tal

City in Zürich, Switzerland

Overview

Adliswil / Tal is a picturesque, small-scale suburb of Zürich set on the western slopes of the Sihl Valley. Its tranquil neighborhoods, easy commuter access to Zürich, and proximity to scenic hills make it an ideal spot for families and nature lovers.

Geographic Context

Jurisdiction
Switzerland
Canton
Zürich
Population
1,125
Time Zone
Europe/Zurich
Coordinates
47.31°, 8.53°

Key Metrics

Safety Score · estimate
93
Female Safety
92
LGBTQ+ Safety
86
Traffic Safety
95
Food Safety
99
Monthly Cost · estimate
$3,262
Local Cost
$2,390
Local Income
$5,700
Cashless
97
English
90
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
422 Mbps
Upload
298 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
970.0
Airport
ZRH
Distance
17 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 8 tests. Record updated 2025-12-05.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.