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Santo Antônio de Pádua
City in Rio de Janeiro, Brazil
Overview
Santo Antônio de Pádua is a charming small city in the northwest of Rio de Janeiro state, blending historic colonial architecture with a warm, tight-knit community feel. The city offers quaint streets, lively markets, and easy access to rural scenery and riverside views.
Geographic Context
Jurisdiction
Brazil
State
Rio de Janeiro
Population
43,697
Time Zone
America/Sao_Paulo
Coordinates
-21.57°, -42.21°
Key Metrics
Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
40
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$683
Local Cost
$435
Local Income
$350
Cashless
30
English
20
Temperature
23.1°C
Summer Avg
25.0°C
Winter Avg
20.6°C
Record High
42.9°C
Record Low
7.4°C
Humidity
76%
Precipitation
1270 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Explore
Neighborhoods
Mapped8 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 8 neighborhoodsData sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
Overture Maps and OpenStreetMap - 8 source-backed neighborhood entities are available for this city. Record updated 2026-03-22.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-21.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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