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Pedra do Indaiá
City in Minas Gerais, Brazil
Overview
Pedra do Indaiá is a small, peaceful town in Minas Gerais, Brazil, surrounded by green countryside and traditional rural landscapes. Known for its friendly community, quiet pace, and rich local culinary traditions, it's perfect for travelers seeking authentic Brazilian small-town life.
Geographic Context
Jurisdiction
Brazil
State
Minas Gerais
Population
4,247
Time Zone
America/Sao_Paulo
Coordinates
-20.28°, -45.22°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
25
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$520
Local Cost
$300
Local Income
$230
Cashless
20
English
15
Temperature
21.1°C
Summer Avg
22.3°C
Winter Avg
18.9°C
Record High
40.0°C
Record Low
5.1°C
Humidity
72%
Precipitation
1154 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
DIQ
Distance
38 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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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