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Frutillar
City in Los Lagos, Chile
Overview
Frutillar is a picturesque town on the shores of Lago Llanquihue in Chile's Lake District, celebrated for its blend of German heritage, lively music scene, and sweeping views of the Osorno volcano. The city is renowned for charming wooden architecture, a lively calendar of festivals, and peaceful lakeside promenades.
Geographic Context
Jurisdiction
Chile
Region
Los Lagos
Population
—
Time Zone
America/Santiago
Coordinates
-41.09°, -73.10°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
70
Monthly Cost · estimate
$1,096
Local Cost
$680
Local Income
$500
Cashless
45
English
35
Temperature
10.5°C
Summer Avg
14.7°C
Winter Avg
6.5°C
Record High
35.8°C
Record Low
-4.6°C
Humidity
86%
Precipitation
1227 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
FRT
Distance
5 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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