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Marilac
City in Minas Gerais, Brazil
Overview
Marilac is a charming, small town set in the hills of Minas Gerais, Brazil. With a close-knit community and peaceful, rural vibe, it offers visitors a genuine taste of local life and stunning countryside views. Though modest in size, Marilac provides authentic experiences and welcoming hospitality.
Geographic Context
Jurisdiction
Brazil
State
Minas Gerais
Population
4,323
Time Zone
America/Sao_Paulo
Coordinates
-18.50°, -42.07°
Key Metrics
Safety Score · estimate
60
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$544
Local Cost
$338
Local Income
$340
Cashless
28
English
8
Temperature
24.5°C
Summer Avg
25.8°C
Winter Avg
22.2°C
Record High
42.3°C
Record Low
9.0°C
Humidity
70%
Precipitation
962 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
GVR
Distance
45 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 2025-12-07.
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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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