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Balbinos
City in São Paulo, Brazil
Overview
Balbinos is a quiet, close-knit town in the interior of São Paulo state, Brazil. Its small population and peaceful streets make it a haven for those seeking rural charm, simple living, and community warmth. Life here centers on local gatherings, farming, and intact traditions.
Geographic Context
Jurisdiction
Brazil
State
São Paulo
Population
3,887
Time Zone
America/Sao_Paulo
Coordinates
-21.90°, -49.34°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
70
Monthly Cost · estimate
$656
Local Cost
$380
Local Income
$270
Cashless
25
English
10
Temperature
23.0°C
Summer Avg
25.1°C
Winter Avg
19.6°C
Record High
43.1°C
Record Low
1.9°C
Humidity
71%
Precipitation
1175 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
JTC
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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