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Grumes
City in Trentino-South Tyrol, Italy
Overview
Grumes is a picturesque mountain village in Trentino-South Tyrol, renowned for its natural beauty, friendly locals, and sustainable tourism initiatives. The small town offers relaxing getaways, scenic hikes, and a window into rural Italian life.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Trentino-South Tyrol
Population
—
Time Zone
Europe/Rome
Coordinates
46.22°, 11.29°
Key Metrics
Safety Score · estimate
92
Female Safety
87
LGBTQ+ Safety
70
Traffic Safety
86
Food Safety
95
Monthly Cost · estimate
$1,661
Local Cost
$1,130
Local Income
$1,750
Cashless
64
English
40
Temperature
7.6°C
Summer Avg
17.2°C
Winter Avg
-2.1°C
Record High
35.5°C
Record Low
-20.1°C
Humidity
78%
Precipitation
990 mm
City Vibrancy
4
Coworking
0
Cafes
2
Nightlife
1
Parks
1
Transport
6
Walk Score
6
Footways
12.0
Airport
BZO
Distance
26 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 2025-12-09.
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 2026-03-21.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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