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San Lorenzo di Sebato
City in Trentino-South Tyrol, Italy
Overview
San Lorenzo di Sebato, set in the picturesque Puster Valley of Trentino-South Tyrol, is a quaint alpine town rich in culture and history. Its charming streets, traditional Tyrolean architecture, and proximity to the Dolomites make it an inviting base for nature lovers and history buffs alike.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Trentino-South Tyrol
Population
3,836
Time Zone
Europe/Rome
Coordinates
46.79°, 11.91°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
73
Traffic Safety
88
Food Safety
97
Monthly Cost · estimate
$1,836
Local Cost
$1,090
Local Income
$1,600
Cashless
65
English
55
Temperature
1.9°C
Summer Avg
11.3°C
Winter Avg
-7.9°C
Record High
25.6°C
Record Low
-29.1°C
Humidity
86%
Precipitation
1167 mm
Internet Speed
301 Mbps
Upload
30 Mbps
Latency
24 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
35
Walk Score
35
Footways
70.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. 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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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