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Coroatá
City in Maranhão, Brazil
Overview
Coroatá is a lively midsize city in Maranhão, Brazil, known for its lively local culture, historical churches, and riverside scenery. The city combines authentic northeast Brazilian traditions with everyday urban energy.
Geographic Context
Jurisdiction
Brazil
State
Maranhão
Population
61,351
Time Zone
America/Sao_Paulo
Coordinates
-4.13°, -44.12°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
25
Traffic Safety
45
Food Safety
50
Monthly Cost · estimate
$502
Local Cost
$345
Local Income
$270
Cashless
30
English
10
Temperature
28.0°C
Summer Avg
27.7°C
Winter Avg
27.2°C
Record High
41.7°C
Record Low
17.7°C
Humidity
74%
Precipitation
1476 mm
Internet Speed
216 Mbps
Upload
209 Mbps
Latency
4 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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