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Cauquenes
City in Maule, Chile
Overview
Cauquenes is a charming city in Chile's Maule region, known for its agricultural heritage, relaxed pace, and friendly community. Its central plazas and nearby countryside provide an authentic Chilean experience away from major tourist crowds.
Geographic Context
Jurisdiction
Chile
Region
Maule
Population
40,441
Time Zone
America/Santiago
Coordinates
-35.97°, -72.32°
Key Metrics
Safety Score · estimate
60
Female Safety
65
LGBTQ+ Safety
40
Traffic Safety
75
Food Safety
75
Monthly Cost · estimate
$1,076
Local Cost
$570
Local Income
$500
Cashless
45
English
20
Temperature
13.0°C
Summer Avg
18.2°C
Winter Avg
8.3°C
Record High
40.2°C
Record Low
-4.7°C
Humidity
75%
Precipitation
638 mm
Internet Speed
391 Mbps
Upload
325 Mbps
Latency
11 ms
City Vibrancy
32
Coworking
0
Cafes
1
Nightlife
0
Parks
31
Transport
17
Walk Score
17
Footways
33.0
Airport
—
Distance
—
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 2025-12-06.
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 2026-03-22.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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