Tornimparte
City in Abruzzo, Italy
Overview
Tornimparte is a picturesque small town set in the Apennine mountains of Abruzzo, Italy, known for its peaceful pace and authentic local character. With medieval alleys and breathtaking countryside, it's an ideal getaway for those seeking rural charm and outdoor activities.
Geographic Context
Jurisdiction
Italy
Region
Abruzzo
Population
2,789
Time Zone
Europe/Rome
Coordinates
42.29°, 13.30°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,429
Local Cost
$893
Local Income
$1,100
Cashless
35
English
30
Temperature
10.8°C
Summer Avg
20.3°C
Winter Avg
2.1°C
Record High
37.7°C
Record Low
-14.6°C
Humidity
75%
Precipitation
789 mm
Internet Speed
114 Mbps
Upload
2 Mbps
Latency
42 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
4
Parks
1
Transport
10
Walk Score
10
Footways
19.0
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.