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Carutapera
City in Maranhão, Brazil
Overview
Carutapera is a small coastal city at the mouth of the Gurupi River in northern Maranhão, Brazil. It is known for its tranquil mangrove landscapes, lively community festivals, and authentic local culture.
Geographic Context
Jurisdiction
Brazil
State
Maranhão
Population
24,906
Time Zone
America/Sao_Paulo
Coordinates
-1.18°, -45.96°
Key Metrics
Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
50
Monthly Cost · estimate
$706
Local Cost
$325
Local Income
$230
Cashless
20
English
15
Temperature
27.0°C
Summer Avg
27.1°C
Winter Avg
26.6°C
Record High
32.0°C
Record Low
23.2°C
Humidity
83%
Precipitation
2440 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CTP
Distance
10 km
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsData 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 2025-12-05.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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