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São José de Ubá
City in Rio de Janeiro, Brazil
Overview
São José de Ubá is a small, tranquil town in the north of Rio de Janeiro state, known for its agricultural roots, especially tomato production. The town offers an authentic rural Brazilian experience, warm hospitality, and beautiful views of the surrounding countryside.
Geographic Context
Jurisdiction
Brazil
State
Rio de Janeiro
Population
7,318
Time Zone
America/Sao_Paulo
Coordinates
-21.38°, -41.95°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$465
Local Cost
$337
Local Income
$320
Cashless
15
English
10
Temperature
23.5°C
Summer Avg
25.6°C
Winter Avg
20.8°C
Record High
42.6°C
Record Low
8.1°C
Humidity
76%
Precipitation
1068 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
ITP
Distance
19 km
Explore
Data 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 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
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 2026-03-22.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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