Sabino
City in São Paulo, Brazil
Overview
Sabino is a small riverside town in the interior of São Paulo state, best known for its tranquil atmosphere, community spirit, and access to natural attractions along the Tietê River. The pace is relaxed, making it ideal for those seeking countryside charm and a genuine Brazilian small-town experience.
Geographic Context
Jurisdiction
Brazil
State
São Paulo
Population
5,112
Time Zone
America/Sao_Paulo
Coordinates
-21.48°, -49.58°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
40
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$775
Local Cost
$398
Local Income
$320
Cashless
30
English
10
Temperature
24.2°C
Summer Avg
26.0°C
Winter Avg
21.0°C
Record High
42.3°C
Record Low
5.0°C
Humidity
69%
Precipitation
1145 mm
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
LIP
Distance
26 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.