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Pineta
City in Trentino-South Tyrol, Italy
Overview
Pineta is a serene alpine village set in the heart of Trentino-South Tyrol, Italy, surrounded by lush pine forests and majestic mountains. With just 158 residents, the town offers an intimate glimpse into authentic rural Italian life.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Trentino-South Tyrol
Population
158
Time Zone
Europe/Rome
Coordinates
46.44°, 11.35°
Key Metrics
Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
92
Food Safety
97
Monthly Cost · estimate
$1,535
Local Cost
$950
Local Income
$1,800
Cashless
45
English
40
Temperature
3.9°C
Summer Avg
13.4°C
Winter Avg
-6.3°C
Record High
28.1°C
Record Low
-31.5°C
Humidity
81%
Precipitation
929 mm
Internet Speed
366 Mbps
Upload
122 Mbps
Latency
13 ms
City Vibrancy
15
Coworking
0
Cafes
1
Nightlife
9
Parks
5
Transport
43
Walk Score
43
Footways
86.0
Airport
BZO
Distance
3 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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