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Sena Madureira

City in Acre, Brazil

Overview

Sena Madureira is a river town in the heart of Acre, Brazil, known for its laid-back atmosphere, tropical surroundings, and lively local life. While not a traditional tourist destination, it offers visitors authentic Amazonian culture and opportunities to explore the region's nature and traditions.

Geographic Context

Jurisdiction
Brazil
State
Acre
Population
44,049
Time Zone
America/Sao_Paulo
Coordinates
-9.06°, -68.67°

Key Metrics

Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
40
Traffic Safety
45
Food Safety
55
Monthly Cost · estimate
$607
Local Cost
$352
Local Income
$275
Cashless
15
English
10
Temperature
25.7°C
Summer Avg
25.3°C
Winter Avg
25.2°C
Record High
39.6°C
Record Low
13.0°C
Humidity
85%
Precipitation
1754 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
11
Walk Score
11
Footways
22.0
Airport
—
Distance
—

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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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