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Porto Acre
City in Acre, Brazil
Overview
Porto Acre is a quiet riverside town in northern Brazil, surrounded by lush Amazonian forest. It offers a mix of rural charm, local markets, and warm hospitality to visitors. The city's pace is slow, making it an ideal destination for relaxation and nature lovers.
Geographic Context
Jurisdiction
Brazil
State
Acre
Population
17,523
Time Zone
America/Sao_Paulo
Coordinates
-9.65°, -67.78°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
55
Monthly Cost · estimate
$623
Local Cost
$310
Local Income
$250
Cashless
25
English
15
Temperature
25.7°C
Summer Avg
25.3°C
Winter Avg
25.0°C
Record High
39.4°C
Record Low
12.3°C
Humidity
85%
Precipitation
1796 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
RBR
Distance
27 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 2025-12-06.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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