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Conselheiro Pena

City in Minas Gerais, Brazil

Overview

Conselheiro Pena is a small yet lively city set in eastern Minas Gerais, Brazil. Known for its warm local culture and beautiful river scenery, the town offers a genuine taste of regional life with friendly residents and authentic markets. Though modest in size, its plazas and lively streets make it a welcoming destination for travelers seeking a local experience.

Geographic Context

Jurisdiction
Brazil
State
Minas Gerais
Population
21,052
Time Zone
America/Sao_Paulo
Coordinates
-19.17°, -41.46°

Key Metrics

Safety Score · estimate
55
Female Safety
46
LGBTQ+ Safety
38
Traffic Safety
52
Food Safety
63
Monthly Cost · estimate
$787
Local Cost
$395
Local Income
$390
Cashless
39
English
18
Temperature
23.9°C
Summer Avg
25.4°C
Winter Avg
21.6°C
Record High
42.1°C
Record Low
8.8°C
Humidity
73%
Precipitation
935 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

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 2025-12-06.
Overture Maps and OpenStreetMap - 5 source-backed neighborhood entities are available for this city. Record updated 2026-03-23.

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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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