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Monte Carlo
City in Santa Catarina, Brazil
Overview
Monte Carlo is a welcoming small city in Santa Catarina, Brazil, known for its peaceful rural vibe and strong community spirit. With basic urban amenities mixed with the charm of countryside living, it offers an authentic Brazilian small-town experience.
Geographic Context
Jurisdiction
Brazil
State
Santa Catarina
Population
9,218
Time Zone
America/Sao_Paulo
Coordinates
-27.19°, -50.92°
Key Metrics
Safety Score · estimate
68
Female Safety
65
LGBTQ+ Safety
55
Traffic Safety
70
Food Safety
65
Monthly Cost · estimate
$690
Local Cost
$472
Local Income
$450
Cashless
40
English
20
Temperature
16.2°C
Summer Avg
19.9°C
Winter Avg
12.1°C
Record High
34.4°C
Record Low
-4.6°C
Humidity
84%
Precipitation
1606 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
VIA
Distance
30 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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