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Vespasiano
City in Minas Gerais, Brazil
Overview
Vespasiano is a lively city located just north of Belo Horizonte in Minas Gerais, blending suburban comfort with a lively local culture. Known for its proximity to the Confins International Airport and easy access to Belo Horizonte, it is a residential hub with a friendly, welcoming vibe.
Geographic Context
Jurisdiction
Brazil
State
Minas Gerais
Population
129,246
Time Zone
America/Sao_Paulo
Coordinates
-19.69°, -43.92°
Key Metrics
Safety Score
48
Female Safety
50
LGBTQ+ Safety
45
Traffic Safety
55
Food Safety
65
Monthly Cost
$887
Local Cost
$463
Local Income
$350
Cashless
52
English
22
Temperature
21.1°C
Summer Avg
22.1°C
Winter Avg
19.1°C
Record High
39.0°C
Record Low
6.0°C
Humidity
72%
Precipitation
1193 mm
Internet Speed
245 Mbps
Upload
188 Mbps
Latency
4 ms
City Vibrancy
9
Coworking
0
Cafes
0
Nightlife
1
Parks
8
Transport
0
Walk Score
0
Footways
—
Airport
CNF
Distance
8 km
Explore
Neighborhoods
Mapped18 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 18 neighborhoodsFrequently 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.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 65 tests. 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 - 18 source-backed neighborhood entities are available for this city. Updated 2026-03-21.
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 62/100.
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