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Serra San Bruno
City in Calabria, Italy
Overview
Serra San Bruno is a picturesque town set in the Calabrian mountains, renowned for its Carthusian monastery and lush natural surroundings. Its historic streets, traditional cuisine, and welcoming atmosphere offer an authentic southern Italian experience.
Geographic Context
Jurisdiction
Italy
Region
Calabria
Population
6,202
Time Zone
Europe/Rome
Coordinates
38.57°, 16.33°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
55
Traffic Safety
75
Food Safety
85
Monthly Cost · estimate
$1,457
Local Cost
$800
Local Income
$1,100
Cashless
40
English
30
Temperature
17.9°C
Summer Avg
25.5°C
Winter Avg
11.2°C
Record High
39.9°C
Record Low
0.4°C
Humidity
73%
Precipitation
835 mm
Internet Speed
239 Mbps
Upload
172 Mbps
Latency
20 ms
City Vibrancy
18
Coworking
0
Cafes
4
Nightlife
10
Parks
4
Transport
30
Walk Score
30
Footways
59.0
Airport
SUF
Distance
38 km
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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