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Dom Cavati
City in Minas Gerais, Brazil
Overview
Dom Cavati is a charming small town in Minas Gerais, best known for its peaceful atmosphere, friendly community, and scenic rural surroundings. The town offers a leisurely pace and authentic Brazilian countryside experiences for visitors. Its compact layout means most amenities are easily accessible by foot.
Geographic Context
Jurisdiction
Brazil
State
Minas Gerais
Population
4,967
Time Zone
America/Sao_Paulo
Coordinates
-19.39°, -42.09°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$593
Local Cost
$322
Local Income
$320
Cashless
30
English
10
Temperature
22.8°C
Summer Avg
24.2°C
Winter Avg
20.5°C
Record High
40.5°C
Record Low
7.4°C
Humidity
74%
Precipitation
1051 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
IPN
Distance
42 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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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