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Epitaciolândia
City in Acre, Brazil
Overview
Epitaciolândia is a small border town in Acre, Brazil, set along the banks of the Acre River and adjacent to Bolivia. Known for its relaxed atmosphere and unique blend of Brazilian and Bolivian influences, it offers a glimpse into the frontier life of the Amazon region.
Geographic Context
Jurisdiction
Brazil
State
Acre
Population
19,874
Time Zone
America/Sao_Paulo
Coordinates
-10.94°, -68.44°
Key Metrics
Safety Score · estimate
48
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$538
Local Cost
$365
Local Income
$350
Cashless
25
English
15
Temperature
25.6°C
Summer Avg
25.2°C
Winter Avg
25.2°C
Record High
40.6°C
Record Low
10.0°C
Humidity
81%
Precipitation
1619 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CIJ
Distance
39 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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