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Monte Azul

City in Minas Gerais, Brazil

Overview

Monte Azul is a small city in northern Minas Gerais, Brazil, known for its relaxed pace and warm, welcoming atmosphere. The town caters mostly to locals, with modest amenities and an authentic regional charm. It's an ideal spot for travelers looking to experience everyday Brazilian life away from the crowds.

Geographic Context

Jurisdiction
Brazil
State
Minas Gerais
Population
20,497
Time Zone
America/Sao_Paulo
Coordinates
-15.21°, -43.02°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$602
Local Cost
$355
Local Income
$270
Cashless
30
English
10
Temperature
25.5°C
Summer Avg
25.7°C
Winter Avg
23.9°C
Record High
42.2°C
Record Low
10.9°C
Humidity
58%
Precipitation
705 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Neighborhoods

Partial

Coverage is incomplete — additional neighborhoods are being added as more source data is processed.

Coverage is incomplete — more neighborhoods are being added.

View all 1 neighborhoods

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.
Overture Maps and OpenStreetMap - 1 source-backed neighborhood entities are available for this city. Record updated 2026-03-23.

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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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