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Oeiras do Pará
City in Pará, Brazil
Overview
Oeiras do Pará is a charming town set by the Tocantins River in northern Brazil. Known for its tranquil pace, friendly community, and lush surroundings, it's an ideal spot for experiencing authentic Amazonian culture away from tourist crowds.
Geographic Context
Jurisdiction
Brazil
State
Pará
Population
36,734
Time Zone
America/Sao_Paulo
Coordinates
-2.00°, -49.85°
Key Metrics
Safety Score · estimate
35
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$773
Local Cost
$355
Local Income
$260
Cashless
30
English
15
Temperature
27.0°C
Summer Avg
26.4°C
Winter Avg
26.5°C
Record High
39.0°C
Record Low
20.3°C
Humidity
84%
Precipitation
2479 mm
Internet Speed
184 Mbps
Upload
126 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CMT
Distance
43 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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