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Montes Claros
City in Minas Gerais, Brazil
Overview
Montes Claros is a lively mid-sized city in northern Minas Gerais with a strong regional identity, busy commercial activity, and rich cultural traditions. Surrounded by natural beauty, dry savannahs and rolling hills, the city combines historical roots with modern flair.
Geographic Context
Jurisdiction
Brazil
State
Minas Gerais
Population
437,601
Time Zone
America/Sao_Paulo
Coordinates
-16.59°, -43.90°
Key Metrics
Safety Score · estimate
48
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
62
Monthly Cost · estimate
$832
Local Cost
$435
Local Income
$370
Cashless
54
English
27
Temperature
24.1°C
Summer Avg
24.8°C
Winter Avg
22.1°C
Record High
41.2°C
Record Low
9.2°C
Humidity
63%
Precipitation
863 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MOC
Distance
16 km
Explore
Neighborhoods
Mapped162 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 162 neighborhoodsData sources
Source-backed data
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 2025-12-05.
Overture Maps and OpenStreetMap - 162 source-backed neighborhood entities are available for this city. Record updated 2026-03-21.
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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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