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Castel Ritaldi
City in Umbria, Italy
Overview
Castel Ritaldi is a tranquil Umbrian village known for its medieval heritage, verdant landscapes, and authentic Italian charm. The town offers a welcoming atmosphere, blending countryside serenity with cultural richness, ideal for slow-paced rural escapes.
Geographic Context
Jurisdiction
Italy
Region
Umbria
Population
3,041
Time Zone
Europe/Rome
Coordinates
42.82°, 12.67°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
90
Monthly Cost · estimate
$1,582
Local Cost
$1,050
Local Income
$1,450
Cashless
50
English
45
Temperature
13.6°C
Summer Avg
23.6°C
Winter Avg
4.7°C
Record High
41.2°C
Record Low
-10.6°C
Humidity
74%
Precipitation
800 mm
Internet Speed
561 Mbps
Upload
269 Mbps
Latency
28 ms
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
1
Parks
2
Transport
3
Walk Score
3
Footways
5.0
Airport
PEG
Distance
33 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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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