Visp

City in Valais, Switzerland

Overview

Visp is a picturesque town in the Swiss canton of Valais, known as a gateway to the Alps and a hub for travel to Zermatt and Saas-Fee. The town blends tradition and modernity, with its historic center, efficient train links, and surrounding vineyards.

Geographic Context

Jurisdiction
Switzerland
Canton
Valais
Population
8,483
Time Zone
Europe/Zurich
Coordinates
46.29°, 7.88°

Key Metrics

Safety Score · estimate
95
Female Safety
95
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$3,174
Local Cost
$2,080
Local Income
$3,900
Cashless
90
English
70
Temperature
2.0°C
Summer Avg
11.4°C
Winter Avg
-7.5°C
Record High
25.5°C
Record Low
-29.0°C
Humidity
83%
Precipitation
1379 mm
Internet Speed
342 Mbps
Upload
271 Mbps
Latency
10 ms
City Vibrancy
17
Coworking
0
Cafes
4
Nightlife
10
Parks
3
Transport
74
Walk Score
74
Footways
147.0
Airport
SIR
Distance
43 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 48 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 87/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.