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Campo Redondo
City in Rio Grande do Norte, Brazil
Overview
Campo Redondo is a small, charming town in the interior of Rio Grande do Norte, Brazil. Known for its tranquil countryside vibe and warm community, it's ideal for those seeking local culture and rural landscapes.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Norte
Population
10,510
Time Zone
America/Sao_Paulo
Coordinates
-6.25°, -36.22°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
40
Traffic Safety
65
Food Safety
60
Monthly Cost · estimate
$458
Local Cost
$320
Local Income
$250
Cashless
30
English
15
Temperature
25.8°C
Summer Avg
27.0°C
Winter Avg
23.9°C
Record High
39.2°C
Record Low
16.4°C
Humidity
72%
Precipitation
799 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Explore
Neighborhoods
PartialCoverage is incomplete — additional neighborhoods are being added as more source data is processed.
Coverage is incomplete — more neighborhoods are being added.
View all 1 neighborhoodsData 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 2025-12-07.
Overture Maps and OpenStreetMap - 1 source-backed neighborhood entities are available for this city. Record updated 2026-03-27.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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