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Savelli
City in Calabria, Italy
Overview
Savelli is a quaint mountain village in Calabria's Sila National Park, known for its pristine nature, friendly locals, and serene atmosphere. With just over 100 residents, it's a perfect retreat for those seeking authentic rural Italy away from crowds.
Geographic Context
Jurisdiction
Italy
Region
Calabria
Population
123
Time Zone
Europe/Rome
Coordinates
39.31°, 16.78°
Key Metrics
Safety Score · estimate
85
Female Safety
70
LGBTQ+ Safety
45
Traffic Safety
90
Food Safety
90
Monthly Cost · estimate
$1,140
Local Cost
$720
Local Income
$1,050
Cashless
25
English
20
Temperature
17.2°C
Summer Avg
25.6°C
Winter Avg
9.8°C
Record High
41.5°C
Record Low
-0.4°C
Humidity
71%
Precipitation
894 mm
Internet Speed
46 Mbps
Upload
10 Mbps
Latency
45 ms
City Vibrancy
7
Coworking
0
Cafes
4
Nightlife
2
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
CRV
Distance
44 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 2025-12-09.
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 2026-03-23.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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