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Santa Filomena do Maranhão
City in Maranhão, Brazil
Overview
Santa Filomena do Maranhão is a small, rural town in northeastern Brazil, known for its close-knit community and tranquil lifestyle. The town offers a glimpse into everyday life in the interior of Maranhão, with traditional markets, local festivals, and lush countryside surrounding the area.
Geographic Context
Jurisdiction
Brazil
State
Maranhão
Population
6,833
Time Zone
America/Sao_Paulo
Coordinates
-5.48°, -44.55°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
45
Monthly Cost · estimate
$460
Local Cost
$350
Local Income
$220
Cashless
15
English
5
Temperature
27.3°C
Summer Avg
26.5°C
Winter Avg
27.3°C
Record High
40.1°C
Record Low
17.2°C
Humidity
70%
Precipitation
1145 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
PDR
Distance
21 km
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 2025-12-07.
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: 43/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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