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Pennabilli
City in Emilia-Romagna, Italy
Overview
Pennabilli is a picturesque medieval town set in the foothills of the Emilia-Romagna Apennines. With its storied architecture, verdant landscapes, and lively arts scene, it offers a peaceful escape and an authentic taste of rural Italian culture.
Geographic Context
Jurisdiction
Italy
Region
Emilia-Romagna
Population
2,623
Time Zone
Europe/Rome
Coordinates
43.82°, 12.27°
Key Metrics
Safety Score · estimate
85
Female Safety
76
LGBTQ+ Safety
57
Traffic Safety
82
Food Safety
93
Monthly Cost · estimate
$1,592
Local Cost
$920
Local Income
$1,250
Cashless
44
English
27
Temperature
14.6°C
Summer Avg
23.9°C
Winter Avg
6.2°C
Record High
39.1°C
Record Low
-5.9°C
Humidity
74%
Precipitation
770 mm
Internet Speed
341 Mbps
Upload
183 Mbps
Latency
26 ms
City Vibrancy
24
Coworking
0
Cafes
1
Nightlife
3
Parks
20
Transport
13
Walk Score
13
Footways
25.0
Airport
RMI
Distance
36 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 2025-12-07.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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