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Nísia Floresta
City in Rio Grande do Norte, Brazil
Overview
Nísia Floresta is a charming coastal town in Rio Grande do Norte, Brazil, famed for its beaches, natural pools, and authentic local culture. The city blends tranquil rural areas with lively seaside neighborhoods, making it perfect for both relaxation and exploration.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Norte
Population
34,325
Time Zone
America/Sao_Paulo
Coordinates
-6.09°, -35.21°
Key Metrics
Safety Score
45
Female Safety
50
LGBTQ+ Safety
40
Traffic Safety
55
Food Safety
60
Monthly Cost
$674
Local Cost
$385
Local Income
$350
Cashless
25
English
15
Temperature
27.0°C
Summer Avg
27.5°C
Winter Avg
26.2°C
Record High
30.5°C
Record Low
23.1°C
Humidity
78%
Precipitation
1168 mm
Internet Speed
183 Mbps
Upload
118 Mbps
Latency
10 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
0
Walk Score
0
Footways
—
Airport
NAT
Distance
40 km
Explore
Neighborhoods
Mapped21 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 21 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 97 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 - 21 source-backed neighborhood entities are available for this city. Updated 2026-03-22.
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 55/100.
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