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Guglionesi
City in Molise, Italy
Overview
Guglionesi is a picturesque hilltop town in the Molise region of Italy, rich in history and commanding stunning views over the surrounding countryside. The town is known for its relaxed pace of life, historic architecture, and welcoming local community.
Geographic Context
Jurisdiction
Italy
Region
Molise
Population
4,881
Time Zone
Europe/Rome
Coordinates
41.92°, 14.92°
Key Metrics
Safety Score · estimate
80
Female Safety
70
LGBTQ+ Safety
48
Traffic Safety
70
Food Safety
90
Monthly Cost · estimate
$1,418
Local Cost
$792
Local Income
$1,100
Cashless
38
English
34
Temperature
17.2°C
Summer Avg
25.6°C
Winter Avg
9.9°C
Record High
39.4°C
Record Low
-0.7°C
Humidity
70%
Precipitation
571 mm
Internet Speed
39 Mbps
Upload
14 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
82
Walk Score
82
Footways
164.0
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 2025-12-07.
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: 59/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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