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Tarauacá
City in Acre, Brazil
Overview
Tarauacá is a riverside town in the state of Acre, Brazil, offering a glimpse into the Amazonian lifestyle with lively markets and lush surroundings. The community is friendly, and the pace is relaxed, making it a gateway for deeper exploration of Acre's natural wonders.
Geographic Context
Jurisdiction
Brazil
State
Acre
Population
46,816
Time Zone
America/Sao_Paulo
Coordinates
-8.16°, -70.77°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$615
Local Cost
$365
Local Income
$270
Cashless
20
English
10
Temperature
25.3°C
Summer Avg
25.1°C
Winter Avg
24.8°C
Record High
39.1°C
Record Low
13.0°C
Humidity
87%
Precipitation
2065 mm
Internet Speed
262 Mbps
Upload
138 Mbps
Latency
18 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
TRQ
Distance
2 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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