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Alto Alegre
City in São Paulo, Brazil
Overview
Alto Alegre is a charming, rural town in São Paulo state with a welcoming community and serene landscapes. It offers an authentic glimpse into Brazilian country life with friendly locals and slow-paced living. The town centers around agriculture and small local businesses.
Geographic Context
Jurisdiction
Brazil
State
São Paulo
Population
1,837
Time Zone
America/Sao_Paulo
Coordinates
-21.63°, -50.20°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
40
Traffic Safety
55
Food Safety
70
Monthly Cost · estimate
$628
Local Cost
$373
Local Income
$270
Cashless
20
English
10
Temperature
23.8°C
Summer Avg
25.8°C
Winter Avg
20.5°C
Record High
43.7°C
Record Low
3.6°C
Humidity
71%
Precipitation
1199 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LIP
Distance
48 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 2025-12-08.
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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