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Mâncio Lima
City in Acre, Brazil
Overview
Mâncio Lima is a small, tranquil city set along the Juruá River in the State of Acre. Surrounded by lush rainforest, it offers an authentic glimpse into Amazonian life and welcoming local communities. The city is a gateway to natural reserves and rural experiences.
Geographic Context
Jurisdiction
Brazil
State
Acre
Population
20,479
Time Zone
America/Sao_Paulo
Coordinates
-7.61°, -72.90°
Key Metrics
Safety Score · estimate
45
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
40
Monthly Cost · estimate
$560
Local Cost
$350
Local Income
$200
Cashless
10
English
15
Temperature
25.4°C
Summer Avg
25.1°C
Winter Avg
25.1°C
Record High
38.5°C
Record Low
14.5°C
Humidity
86%
Precipitation
1868 mm
Internet Speed
303 Mbps
Upload
327 Mbps
Latency
5 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
CZS
Distance
14 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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