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Chiesa di Macra
City in Piedmont, Italy
Overview
Chiesa di Macra is a tiny alpine village set in the Maira Valley of Piedmont, Italy. Known for its spectacular natural scenery, ancient stone houses, and intimate local culture, it offers an authentic rural Italian experience for nature lovers and solitude seekers.
Geographic Context
Jurisdiction
Italy
Region
Piedmont
Population
9
Time Zone
Europe/Rome
Coordinates
44.48°, 7.18°
Key Metrics
Safety Score · estimate
86
Female Safety
75
LGBTQ+ Safety
55
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,140
Local Cost
$700
Local Income
$900
Cashless
15
English
20
Temperature
5.0°C
Summer Avg
14.7°C
Winter Avg
-4.5°C
Record High
29.7°C
Record Low
-23.4°C
Humidity
74%
Precipitation
710 mm
Internet Speed
14 Mbps
Upload
1 Mbps
Latency
27 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CUF
Distance
36 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 2026-03-23.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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