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Açu
City in Rio Grande do Norte, Brazil
Overview
Açu is a charming city in Rio Grande do Norte, Brazil, known for its friendly atmosphere, regional cuisine, and proximity to natural attractions like the Açu National Forest. It offers a laid-back lifestyle and an authentic taste of the Brazilian Northeast, away from big city bustle.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Norte
Population
56,496
Time Zone
America/Sao_Paulo
Coordinates
-5.58°, -36.91°
Key Metrics
Safety Score
48
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
54
Food Safety
65
Monthly Cost
$683
Local Cost
$460
Local Income
$270
Cashless
27
English
18
Temperature
28.1°C
Summer Avg
29.0°C
Winter Avg
26.8°C
Record High
40.3°C
Record Low
17.8°C
Humidity
64%
Precipitation
637 mm
Internet Speed
168 Mbps
Upload
110 Mbps
Latency
4 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
93
Walk Score
93
Footways
185.0
Airport
—
Distance
—
Explore
Neighborhoods
Mapped26 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 26 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 86 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 2025-12-06.
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 - 26 source-backed neighborhood entities are available for this city. Updated 2026-04-05.
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 66/100.
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