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Redenção

City in Pará, Brazil

Overview

Redenção is a small yet lively city in southern Pará, Brazil, known as a service hub for the surrounding rural region. The city offers an authentic taste of Pará's interior, with lively markets, friendly locals, and access to regional natural beauty.

Geographic Context

Jurisdiction
Brazil
State
Pará
Population
27,214
Time Zone
America/Sao_Paulo
Coordinates
-8.06°, -50.18°

Key Metrics

Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
50
Monthly Cost · estimate
$688
Local Cost
$340
Local Income
$250
Cashless
40
English
20
Temperature
26.6°C
Summer Avg
25.8°C
Winter Avg
26.2°C
Record High
42.5°C
Record Low
14.4°C
Humidity
74%
Precipitation
1584 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
RDC
Distance
23 km

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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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