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João Dias
City in Rio Grande do Norte, Brazil
Overview
João Dias is a tiny, peaceful town in Rio Grande do Norte that offers visitors a glimpse into rural Brazilian life. With its welcoming community, scenic surroundings, and tranquil pace, it's ideal for travelers eager to experience authentic local culture away from urban hustle.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Norte
Population
2,073
Time Zone
America/Sao_Paulo
Coordinates
-6.29°, -37.79°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
60
Monthly Cost · estimate
$363
Local Cost
$250
Local Income
$250
Cashless
20
English
15
Temperature
28.0°C
Summer Avg
29.0°C
Winter Avg
26.6°C
Record High
40.9°C
Record Low
15.8°C
Humidity
61%
Precipitation
743 mm
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
0
Parks
5
Transport
1
Walk Score
1
Footways
2.0
Airport
—
Distance
—
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 2025-12-08.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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