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Tuntum

City in Maranhão, Brazil

Overview

Tuntum is a charming small town in Maranhão known for its welcoming community, traditional festivals, and simple lifestyle. It offers a slice of authentic Brazilian rural culture with friendly residents and tranquil streets. While not touristy, Tuntum is ideal for those seeking local experiences and rural landscapes.

Geographic Context

Jurisdiction
Brazil
State
Maranhão
Population
37,364
Time Zone
America/Sao_Paulo
Coordinates
-5.60°, -44.86°

Key Metrics

Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
25
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$740
Local Cost
$349
Local Income
$320
Cashless
20
English
5
Temperature
27.5°C
Summer Avg
26.7°C
Winter Avg
27.4°C
Record High
40.8°C
Record Low
17.4°C
Humidity
69%
Precipitation
1093 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BDC
Distance
41 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 2025-12-06.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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