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Manoel Urbano
City in Acre, Brazil
Overview
Manoel Urbano is a small but lively town set along the Purus River in the Brazilian Amazon. It offers visitors a warm community atmosphere, direct access to nature, and authentic Acre culture. The pace of life is relaxed and ideal for immersion in local living.
Geographic Context
Jurisdiction
Brazil
State
Acre
Population
12,923
Time Zone
America/Sao_Paulo
Coordinates
-8.84°, -69.26°
Key Metrics
Safety Score · estimate
40
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
40
Monthly Cost · estimate
$552
Local Cost
$310
Local Income
$250
Cashless
20
English
5
Temperature
25.5°C
Summer Avg
25.2°C
Winter Avg
25.0°C
Record High
39.6°C
Record Low
12.3°C
Humidity
85%
Precipitation
1748 mm
Internet Speed
178 Mbps
Upload
142 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
—
Distance
—
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 2025-12-06.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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