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Fruta de Leite

City in Minas Gerais, Brazil

Overview

Fruta de Leite is a small, rural town set in northern Minas Gerais, Brazil, known for its friendly community and beautiful natural surroundings. It offers visitors an authentic experience of traditional Minas Gerais life with its simple charm and agricultural roots.

Geographic Context

Jurisdiction
Brazil
State
Minas Gerais
Population
4,538
Time Zone
America/Sao_Paulo
Coordinates
-16.16°, -42.53°

Key Metrics

Safety Score · estimate
60
Female Safety
50
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
60
Monthly Cost · estimate
$453
Local Cost
$360
Local Income
$220
Cashless
25
English
10
Temperature
23.4°C
Summer Avg
24.3°C
Winter Avg
21.3°C
Record High
40.9°C
Record Low
9.0°C
Humidity
65%
Precipitation
764 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SNSS
Distance
23 km

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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