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Serra dos Aimorés
City in Minas Gerais, Brazil
Overview
Serra dos Aimorés is a laid-back small town in northern Minas Gerais, surrounded by rolling hills and lush countryside. Known for its tranquil pace and strong community ties, it offers an authentic Brazilian small-town experience, perfect for those seeking off-the-beaten-path travel.
Geographic Context
Jurisdiction
Brazil
State
Minas Gerais
Population
6,859
Time Zone
America/Sao_Paulo
Coordinates
-17.75°, -40.27°
Key Metrics
Safety Score · estimate
55
Female Safety
48
LGBTQ+ Safety
42
Traffic Safety
52
Food Safety
52
Monthly Cost · estimate
$608
Local Cost
$325
Local Income
$230
Cashless
24
English
18
Temperature
24.4°C
Summer Avg
26.2°C
Winter Avg
21.9°C
Record High
41.0°C
Record Low
11.5°C
Humidity
78%
Precipitation
1176 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
NNU
Distance
10 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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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