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Bom Jesus do Itabapoana
City in Rio de Janeiro, Brazil
Overview
Bom Jesus do Itabapoana is a charming small city in northern Rio de Janeiro, famous for its community spirit, river views, and agricultural roots. The city bridges cultural influences from both Rio de Janeiro and neighboring Espírito Santo, resulting in a unique local vibe.
Geographic Context
Jurisdiction
Brazil
State
Rio de Janeiro
Population
37,176
Time Zone
America/Sao_Paulo
Coordinates
-21.13°, -41.68°
Key Metrics
Safety Score
50
Female Safety
55
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
65
Monthly Cost
$783
Local Cost
$430
Local Income
$350
Cashless
30
English
10
Temperature
22.5°C
Summer Avg
24.6°C
Winter Avg
19.9°C
Record High
41.6°C
Record Low
7.6°C
Humidity
75%
Precipitation
1174 mm
Internet Speed
185 Mbps
Upload
119 Mbps
Latency
3 ms
City Vibrancy
10
Coworking
0
Cafes
0
Nightlife
0
Parks
10
Transport
0
Walk Score
0
Footways
—
Airport
ITP
Distance
23 km
Explore
Neighborhoods
Mapped8 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 8 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 12 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 - 8 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 35/100.
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