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Penna Sant'Andrea

City in Abruzzo, Italy

Overview

Penna Sant'Andrea is a picturesque village set in the Abruzzo hills, known for its tranquil landscape, authentic local culture, and historic architecture. With fewer than 400 residents, it provides a genuine small-town Italian experience, surrounded by nature and tradition.

Geographic Context

Jurisdiction
Italy
Region
Abruzzo
Population
318
Time Zone
Europe/Rome
Coordinates
42.59°, 13.77°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
55
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,375
Local Cost
$850
Local Income
$1,100
Cashless
30
English
25
Temperature
12.7°C
Summer Avg
22.1°C
Winter Avg
4.3°C
Record High
38.5°C
Record Low
-11.2°C
Humidity
73%
Precipitation
766 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
6
Walk Score
6
Footways
11.0
Airport
PSR
Distance
38 km

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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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