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Civitanova del Sannio
City in Molise, Italy
Overview
Civitanova del Sannio is a small, picturesque village set in the hills of Molise, Italy. Known for its tranquil ambiance, historic charm, and beautiful natural surroundings, it offers a glimpse of authentic Italian rural life away from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Molise
Population
879
Time Zone
Europe/Rome
Coordinates
41.67°, 14.40°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,460
Local Cost
$820
Local Income
$1,100
Cashless
35
English
20
Temperature
12.9°C
Summer Avg
22.6°C
Winter Avg
4.3°C
Record High
41.5°C
Record Low
-9.7°C
Humidity
75%
Precipitation
743 mm
Internet Speed
112 Mbps
Upload
78 Mbps
Latency
16 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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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