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Bancali
City in Sardinia, Italy
Overview
Bancali is a tranquil village located in the heart of Sardinia, Italy, offering visitors a glimpse into authentic island life. With its stone houses, local farms, and relaxed pace, Bancali is perfect for those seeking tradition away from crowded resorts.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Sardinia
Population
1,345
Time Zone
Europe/Rome
Coordinates
40.74°, 8.46°
Key Metrics
Safety Score · estimate
82
Female Safety
78
LGBTQ+ Safety
62
Traffic Safety
70
Food Safety
88
Monthly Cost · estimate
$1,610
Local Cost
$986
Local Income
$1,050
Cashless
35
English
20
Temperature
15.4°C
Summer Avg
23.7°C
Winter Avg
8.0°C
Record High
41.1°C
Record Low
-3.1°C
Humidity
72%
Precipitation
518 mm
Internet Speed
12 Mbps
Upload
4 Mbps
Latency
26 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
11.0
Airport
AHO
Distance
18 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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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