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Frutuoso Gomes

City in Rio Grande do Norte, Brazil

Overview

Frutuoso Gomes is a small, welcoming town set in the semi-arid interior of Rio Grande do Norte, Brazil. Known for its close-knit community, rustic landscapes, and relaxed pace, it offers an authentic glimpse into rural life away from typical tourist routes. Visitors will discover friendly locals and a simplicity rarely found in larger cities.

Geographic Context

Jurisdiction
Brazil
State
Rio Grande do Norte
Population
4,230
Time Zone
America/Sao_Paulo
Coordinates
-6.16°, -37.84°

Key Metrics

Safety Score · estimate
56
Female Safety
48
LGBTQ+ Safety
38
Traffic Safety
60
Food Safety
60
Monthly Cost · estimate
$448
Local Cost
$310
Local Income
$210
Cashless
25
English
8
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
Internet Speed
99 Mbps
Upload
51 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 34 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.

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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