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Altair

City in São Paulo, Brazil

Overview

Altair is a peaceful small town in the interior of São Paulo state, offering a close-knit community atmosphere and restful rural landscapes. Visitors will find modest amenities, friendly locals, and traditional Brazilian culture, making it an ideal spot for those looking to unwind away from big-city bustle.

Geographic Context

Jurisdiction
Brazil
State
São Paulo
Population
3,467
Time Zone
America/Sao_Paulo
Coordinates
-20.54°, -49.10°

Key Metrics

Safety Score · estimate
55
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$662
Local Cost
$395
Local Income
$300
Cashless
25
English
10
Temperature
24.0°C
Summer Avg
25.3°C
Winter Avg
21.3°C
Record High
43.3°C
Record Low
4.0°C
Humidity
69%
Precipitation
1229 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SJP
Distance
44 km

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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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