Furci
City in Abruzzo, Italy
Overview
Furci is a picturesque hilltop village in Abruzzo, Italy, known for its medieval charm, olive groves, and tranquil lifestyle. With fewer than 1,000 residents, it offers an authentic slice of rural Italian life, surrounded by rolling hills and understated beauty.
Geographic Context
Jurisdiction
Italy
Region
Abruzzo
Population
806
Time Zone
Europe/Rome
Coordinates
42.01°, 14.59°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
85
Monthly Cost · estimate
$1,373
Local Cost
$750
Local Income
$1,300
Cashless
30
English
30
Temperature
13.7°C
Summer Avg
23.4°C
Winter Avg
5.0°C
Record High
41.0°C
Record Low
-8.8°C
Humidity
72%
Precipitation
713 mm
Internet Speed
18 Mbps
Upload
1 Mbps
Latency
27 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
7.0
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 2025-12-08.
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 2026-03-23.
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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.