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Salto Grande
City in São Paulo, Brazil
Overview
Salto Grande is a small and friendly town in interior São Paulo, set near the Paranapanema River. Life moves at a relaxed pace, with a close-knit community, charming streets, and easy access to nature. Local traditions remain strong, and visitors find an authentic slice of rural Brazil.
Geographic Context
Jurisdiction
Brazil
State
São Paulo
Population
9,050
Time Zone
America/Sao_Paulo
Coordinates
-22.87°, -49.96°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
65
Food Safety
80
Monthly Cost · estimate
$777
Local Cost
$415
Local Income
$350
Cashless
30
English
20
Temperature
22.4°C
Summer Avg
25.0°C
Winter Avg
18.7°C
Record High
42.7°C
Record Low
1.6°C
Humidity
74%
Precipitation
1326 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
OUS
Distance
12 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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