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Capão Bonito
City in São Paulo, Brazil
Overview
Capão Bonito is a small, welcoming city in the interior of São Paulo state, surrounded by rolling hills, rivers, and remnants of Atlantic Forest. It's a gateway to adventures in nearby state parks, offering a laid-back pace with authentic local culture.
Geographic Context
Jurisdiction
Brazil
State
São Paulo
Population
46,337
Time Zone
America/Sao_Paulo
Coordinates
-24.01°, -48.35°
Key Metrics
Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
40
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$750
Local Cost
$405
Local Income
$330
Cashless
45
English
15
Temperature
20.0°C
Summer Avg
22.9°C
Winter Avg
16.6°C
Record High
39.6°C
Record Low
1.2°C
Humidity
82%
Precipitation
1393 mm
Internet Speed
144 Mbps
Upload
127 Mbps
Latency
10 ms
City Vibrancy
26
Coworking
0
Cafes
2
Nightlife
6
Parks
18
Transport
11
Walk Score
11
Footways
22.0
Airport
—
Distance
—
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 2025-12-06.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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