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Carmo do Paranaíba

City in Minas Gerais, Brazil

Overview

Carmo do Paranaíba is a charming town in Minas Gerais, Brazil, celebrated for its rural atmosphere and friendly community. Coffee and agriculture drive the local economy, giving visitors a genuine taste of regional Brazilian life. Expect scenic streets, historic architecture, and a relaxed vibe.

Geographic Context

Jurisdiction
Brazil
State
Minas Gerais
Population
29,885
Time Zone
America/Sao_Paulo
Coordinates
-18.87°, -46.14°

Key Metrics

Safety Score
65
Female Safety
55
LGBTQ+ Safety
45
Traffic Safety
50
Food Safety
60
Monthly Cost
$735
Local Cost
$415
Local Income
$350
Cashless
30
English
20
Temperature
21.4°C
Summer Avg
22.6°C
Winter Avg
19.1°C
Record High
40.2°C
Record Low
5.0°C
Humidity
71%
Precipitation
1171 mm
City Vibrancy
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
Airport
POJ
Distance
43 km

Neighborhoods

Partial

Coverage is incomplete — additional neighborhoods are being added as more source data is processed.

Coverage is incomplete — more neighborhoods are being added.

View all 1 neighborhoods

Frequently Asked Questions

Data sources

Source-backed data

NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 1 source-backed neighborhood entities are available for this city. Updated 2026-03-22.

Estimated data

Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 60/100.

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