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Cássia dos Coqueiros

City in São Paulo, Brazil

Overview

Cássia dos Coqueiros is a small, picturesque town in São Paulo state's countryside, known for its relaxed pace and scenic surroundings. With a welcoming, close-knit community and rural charm, it offers visitors an authentic taste of Brazilian interior life.

Geographic Context

Jurisdiction
Brazil
State
São Paulo
Population
2,799
Time Zone
America/Sao_Paulo
Coordinates
-21.26°, -47.14°

Key Metrics

Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
70
Food Safety
65
Monthly Cost · estimate
$545
Local Cost
$317
Local Income
$350
Cashless
30
English
15
Temperature
21.2°C
Summer Avg
22.9°C
Winter Avg
18.4°C
Record High
39.7°C
Record Low
2.9°C
Humidity
73%
Precipitation
1278 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
QOA
Distance
28 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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