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Máfil
City in Los Ríos, Chile
Overview
Máfil is a friendly, rural town set in Chile's lush Los Ríos region, known for its tranquil pace and natural beauty. With central plazas, leafy neighborhoods, and a tightknit local culture, Máfil offers a genuine small-town Chilean experience.
Geographic Context
Jurisdiction
Chile
Region
Los Ríos
Population
—
Time Zone
America/Santiago
Coordinates
-39.65°, -72.95°
Key Metrics
Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
50
Traffic Safety
70
Food Safety
85
Monthly Cost · estimate
$1,035
Local Cost
$545
Local Income
$500
Cashless
35
English
20
Temperature
11.2°C
Summer Avg
15.4°C
Winter Avg
7.4°C
Record High
36.9°C
Record Low
-4.1°C
Humidity
83%
Precipitation
1131 mm
Internet Speed
159 Mbps
Upload
19 Mbps
Latency
43 ms
City Vibrancy
10
Coworking
0
Cafes
0
Nightlife
0
Parks
10
Transport
18
Walk Score
18
Footways
35.0
Airport
ZAL
Distance
11 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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