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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
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
55
Food Safety
65
Monthly Cost
$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

Explore

Cost of Living
Prices & expenses
Weather & Climate
Temperature & conditions
Alternatives
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Side-by-side comparison
Neighborhoods
1 areas mapped
City Guide
Tips & insights

Neighborhoods

Partial

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

Praça Coronel Jonathas

Coverage is incomplete — more neighborhoods are being added.

View all 1 neighborhoods

Frequently Asked Questions

Data sources

Source-backed data

NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 1 source-backed neighborhood entities are available for this city. Updated 2026-03-23.

Estimated data

Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 63/100.

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