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Viçosa

City in Rio Grande do Norte, Brazil

Overview

Viçosa is a small yet lively city in Rio Grande do Norte, known for its friendly community spirit and charming local culture. The city offers a mix of traditional markets, regional festivals, and scenic countryside landscapes, making it appealing to slow travelers and families. Local life is lively but relaxed, and visitors can enjoy authentic Brazilian hospitality.

Geographic Context

Jurisdiction
Brazil
State
Rio Grande do Norte
Population
79,517
Time Zone
America/Sao_Paulo
Coordinates
-5.99°, -37.96°

Key Metrics

Safety Score · estimate
47
Female Safety
44
LGBTQ+ Safety
37
Traffic Safety
52
Food Safety
62
Monthly Cost · estimate
$570
Local Cost
$320
Local Income
$330
Cashless
28
English
13
Temperature
27.7°C
Summer Avg
28.5°C
Winter Avg
26.4°C
Record High
40.1°C
Record Low
16.4°C
Humidity
62%
Precipitation
725 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2

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Neighborhoods

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Neighborhood highlights with vibe, safety, and cost profiles.

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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.

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: 59/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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