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Rimella
City in Piedmont, Italy
Overview
Rimella is a tiny, secluded mountain village in Italy's Piedmont region with a population of just 134. Known for its scenic alpine setting and historic architecture, it's a destination for nature lovers, hikers, and those seeking authentic local culture.
Geographic Context
Jurisdiction
Italy
Region
Piedmont
Population
134
Time Zone
Europe/Rome
Coordinates
45.91°, 8.18°
Key Metrics
Safety Score · estimate
82
Female Safety
80
LGBTQ+ Safety
55
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$1,370
Local Cost
$870
Local Income
$1,000
Cashless
35
English
22
Temperature
2.8°C
Summer Avg
12.3°C
Winter Avg
-6.9°C
Record High
26.7°C
Record Low
-27.8°C
Humidity
80%
Precipitation
1182 mm
Internet Speed
13 Mbps
Upload
11 Mbps
Latency
30 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
8
Walk Score
8
Footways
16.0
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 2025-12-09.
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 2026-03-23.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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