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Colbún
City in Maule, Chile
Overview
Colbún is a tranquil rural town in Chile's Maule region, surrounded by stunning nature, lakes, and hot springs. Known for its reservoir, scenic landscapes, and traditional Chilean hospitality, Colbún offers an authentic getaway off the beaten path.
Geographic Context
Jurisdiction
Chile
Region
Maule
Population
—
Time Zone
America/Santiago
Coordinates
-35.69°, -71.41°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
72
Monthly Cost · estimate
$1,005
Local Cost
$525
Local Income
$390
Cashless
35
English
25
Temperature
14.3°C
Summer Avg
20.8°C
Winter Avg
8.0°C
Record High
43.0°C
Record Low
-7.3°C
Humidity
54%
Precipitation
379 mm
Internet Speed
212 Mbps
Upload
256 Mbps
Latency
11 ms
City Vibrancy
18
Coworking
0
Cafes
1
Nightlife
1
Parks
16
Transport
31
Walk Score
31
Footways
61.0
Airport
TLX
Distance
39 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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