São Pedro da União

City in Minas Gerais, Brazil

Overview

São Pedro da União is a small, charming town in the rolling hills of southern Minas Gerais. Known for its welcoming community, picturesque coffee plantations, and tranquil pace of life, it's an ideal spot to experience authentic rural Brazil.

Geographic Context

Jurisdiction
Brazil
State
Minas Gerais
Population
4,973
Time Zone
America/Sao_Paulo
Coordinates
-21.11°, -46.65°

Key Metrics

Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$588
Local Cost
$350
Local Income
$300
Cashless
25
English
15
Temperature
21.0°C
Summer Avg
22.6°C
Winter Avg
18.2°C
Record High
39.5°C
Record Low
3.1°C
Humidity
74%
Precipitation
1281 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PSW
Distance
42 km

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.