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Ceará Mirim
City in Rio Grande do Norte, Brazil
Overview
Ceará Mirim is a lively mid-sized city in Rio Grande do Norte, Brazil, renowned for its sugarcane heritage, colonial churches, and welcoming local culture. The town offers a mix of historic landmarks and natural beauty, set within easy reach of the beaches near Natal.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Norte
Population
79,115
Time Zone
America/Sao_Paulo
Coordinates
-5.63°, -35.43°
Key Metrics
Safety Score
42
Female Safety
40
LGBTQ+ Safety
38
Traffic Safety
50
Food Safety
60
Monthly Cost
$623
Local Cost
$385
Local Income
$290
Cashless
30
English
20
Temperature
26.7°C
Summer Avg
27.7°C
Winter Avg
25.2°C
Record High
35.8°C
Record Low
19.3°C
Humidity
74%
Precipitation
932 mm
Internet Speed
208 Mbps
Upload
168 Mbps
Latency
14 ms
City Vibrancy
30
Coworking
0
Cafes
1
Nightlife
12
Parks
17
Transport
0
Walk Score
0
Footways
—
Airport
NAT
Distance
17 km
Explore
Neighborhoods
Mapped10 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 10 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 26 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 - 10 source-backed neighborhood entities are available for this city. Updated 2026-04-04.
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 57/100.
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