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Monte Grimano
City in Umbria, Italy
Overview
Monte Grimano is a picturesque hilltop town in Umbria, Italy, known for its pristine medieval architecture, tranquil atmosphere, and stunning countryside views. With a population just above 1,000, it offers an authentically Italian, slow-paced lifestyle surrounded by nature and history.
Geographic Context
Jurisdiction
Italy
Region
Umbria
Population
1,178
Time Zone
Europe/Rome
Coordinates
43.47°, 12.47°
Key Metrics
Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
60
Traffic Safety
78
Food Safety
94
Monthly Cost · estimate
$1,462
Local Cost
$910
Local Income
$1,350
Cashless
35
English
28
Temperature
12.9°C
Summer Avg
22.8°C
Winter Avg
4.1°C
Record High
40.5°C
Record Low
-12.3°C
Humidity
76%
Precipitation
816 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PEG
Distance
41 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 2025-12-08.
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 2026-03-22.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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