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Simonésia

City in Minas Gerais, Brazil

Overview

Simonésia is a small, welcoming town in the heart of Minas Gerais, known for its laid-back atmosphere and beautiful rural landscapes. It offers a glimpse into traditional Brazilian countryside life, with friendly locals and strong cultural traditions. Ideal for those seeking a tranquil escape from urban hustle.

Geographic Context

Jurisdiction
Brazil
State
Minas Gerais
Population
20,431
Time Zone
America/Sao_Paulo
Coordinates
-20.00°, -41.99°

Key Metrics

Safety Score
60
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
70
Monthly Cost
$548
Local Cost
$412
Local Income
$230
Cashless
25
English
15
Temperature
21.1°C
Summer Avg
22.8°C
Winter Avg
18.7°C
Record High
39.1°C
Record Low
5.7°C
Humidity
78%
Precipitation
1136 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Explore

Cost of Living
Prices & expenses
Weather & Climate
Temperature & conditions
Alternatives
Similar cities worldwide
Compare
Side-by-side comparison
Neighborhoods
2 areas mapped
City Guide
Tips & insights

Neighborhoods

Partial

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

Alegria São Simão do Rio Preto

Coverage is incomplete — more neighborhoods are being added.

View all 2 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 - 2 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 60/100.

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