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Bezirk Stein

City in Schaffhausen, Switzerland

Overview

Bezirk Stein, in the canton of Schaffhausen, Switzerland, is famed for its stunning medieval towns, lush landscapes, and serene river scenery along the Rhine. It's a haven for lovers of history, outdoor adventures, and Swiss tradition.

Geographic Context

Jurisdiction
Switzerland
Canton
Schaffhausen
Population
—
Time Zone
Europe/Zurich
Coordinates
47.66°, 8.85°

Key Metrics

Safety Score · estimate
94
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
93
Food Safety
99
Monthly Cost · estimate
$2,915
Local Cost
$1,910
Local Income
$5,000
Cashless
94
English
75
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
32 Mbps
Latency
12 ms
City Vibrancy
25
Coworking
0
Cafes
11
Nightlife
5
Parks
9
Transport
57
Walk Score
57
Footways
114.0
Airport
ZRH
Distance
31 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-06.
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 2026-03-22.
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: 83/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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