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São Gonçalo do Amarante
City in Rio Grande do Norte, Brazil
Overview
São Gonçalo do Amarante is a growing city just west of Natal, blending local traditions with an emerging commuter population. The city features a mix of quiet neighborhoods, historic sites, and easy access to both coastal and inland attractions.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Norte
Population
124,495
Time Zone
America/Sao_Paulo
Coordinates
-5.77°, -35.33°
Key Metrics
Safety Score
43
Female Safety
45
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
60
Monthly Cost
$690
Local Cost
$372
Local Income
$300
Cashless
40
English
20
Temperature
26.2°C
Summer Avg
27.5°C
Winter Avg
24.4°C
Record High
38.0°C
Record Low
17.9°C
Humidity
74%
Precipitation
973 mm
Internet Speed
280 Mbps
Upload
234 Mbps
Latency
2 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
NAT
Distance
4 km
Explore
Neighborhoods
Mapped36 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 36 neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 36 source-backed neighborhood entities are available for this city. Updated 2026-03-21.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 72/100.
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