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São José da Barra
City in Minas Gerais, Brazil
Overview
São José da Barra is a small, peaceful town on the shores of the Furnas reservoir in the heart of Minas Gerais. Renowned for its scenic beauty, friendly locals, and relaxed pace, it's an ideal gateway to rural Brazil and lakeside leisure.
Geographic Context
Jurisdiction
Brazil
State
Minas Gerais
Population
8,145
Time Zone
America/Sao_Paulo
Coordinates
-20.75°, -46.29°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
75
Food Safety
70
Monthly Cost · estimate
$655
Local Cost
$350
Local Income
$400
Cashless
30
English
15
Temperature
21.1°C
Summer Avg
22.9°C
Winter Avg
18.2°C
Record High
38.4°C
Record Low
3.9°C
Humidity
74%
Precipitation
1203 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PSW
Distance
39 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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