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Lontra
City in Minas Gerais, Brazil
Overview
Lontra is a small city in northern Minas Gerais, surrounded by lush Brazilian countryside. Its welcoming community, laid-back lifestyle, and rural charm make it ideal for travelers seeking an authentic local experience away from crowded tourist spots.
Geographic Context
Jurisdiction
Brazil
State
Minas Gerais
Population
8,963
Time Zone
America/Sao_Paulo
Coordinates
-15.84°, -44.28°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$555
Local Cost
$335
Local Income
$350
Cashless
20
English
8
Temperature
24.1°C
Summer Avg
24.6°C
Winter Avg
22.4°C
Record High
41.0°C
Record Low
9.7°C
Humidity
62%
Precipitation
854 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
JNA
Distance
42 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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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