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Seneghe
City in Sardinia, Italy
Overview
Seneghe is a charming village set at the base of Monte Ferru in Sardinia, Italy, known for its rich history, olive oil, and peaceful rural lifestyle. Its stone streets, lively traditions, and proximity to nature offer authentic Sardinian experiences.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Sardinia
Population
1,645
Time Zone
Europe/Rome
Coordinates
40.08°, 8.61°
Key Metrics
Safety Score · estimate
90
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,235
Local Cost
$840
Local Income
$1,150
Cashless
45
English
30
Temperature
16.2°C
Summer Avg
24.7°C
Winter Avg
8.6°C
Record High
41.9°C
Record Low
-3.3°C
Humidity
71%
Precipitation
464 mm
Internet Speed
69 Mbps
Upload
42 Mbps
Latency
39 ms
City Vibrancy
6
Coworking
0
Cafes
3
Nightlife
0
Parks
3
Transport
14
Walk Score
14
Footways
27.0
Airport
FNU
Distance
21 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 2025-12-08.
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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