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Penalva

City in Maranhão, Brazil

Overview

Penalva is a small city in Maranhão, Brazil, known for its warm, community-oriented vibe and picturesque riverside setting. It's a welcoming place with lively markets, authentic local cuisine, and access to the surrounding natural beauty of rural Maranhão.

Geographic Context

Jurisdiction
Brazil
State
Maranhão
Population
33,496
Time Zone
America/Sao_Paulo
Coordinates
-3.29°, -45.17°

Key Metrics

Safety Score · estimate
35
Female Safety
32
LGBTQ+ Safety
25
Traffic Safety
40
Food Safety
40
Monthly Cost · estimate
$442
Local Cost
$318
Local Income
$210
Cashless
25
English
5
Temperature
27.8°C
Summer Avg
27.7°C
Winter Avg
26.8°C
Record High
40.4°C
Record Low
18.9°C
Humidity
77%
Precipitation
1612 mm
Internet Speed
197 Mbps
Upload
184 Mbps
Latency
2 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1

Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 17 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. 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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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