Fuipiano Valle Imagna
City in Lombardy, Italy
Overview
Fuipiano Valle Imagna is a small mountain village in the peaceful Valle Imagna region of Lombardy. Surrounded by lush forests and traditional stone houses, it offers a tranquil retreat ideal for hiking, exploring rural Italy, and enjoying local cuisine.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
203
Time Zone
Europe/Rome
Coordinates
45.85°, 9.53°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,345
Local Cost
$944
Local Income
$1,500
Cashless
50
English
30
Temperature
8.7°C
Summer Avg
18.2°C
Winter Avg
-1.1°C
Record High
34.5°C
Record Low
-22.6°C
Humidity
75%
Precipitation
1248 mm
Internet Speed
11 Mbps
Upload
2 Mbps
Latency
19 ms
City Vibrancy
3
Coworking
0
Cafes
2
Nightlife
0
Parks
1
Transport
9
Walk Score
9
Footways
17.0
Airport
BGY
Distance
24 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.