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Vila Velha
City in Espírito Santo, Brazil
Overview
Vila Velha is a sunny coastal city in Espírito Santo famed for its beaches, lively promenade, and historical landmarks like the Convento da Penha. It blends urban convenience with a laid-back beach lifestyle, attracting visitors for both relaxation and cultural exploration.
Geographic Context
Jurisdiction
Brazil
State
Espírito Santo
Population
394,930
Time Zone
America/Sao_Paulo
Coordinates
-20.33°, -40.29°
Key Metrics
Safety Score
50
Female Safety
45
LGBTQ+ Safety
50
Traffic Safety
55
Food Safety
70
Monthly Cost
$1,068
Local Cost
$555
Local Income
$520
Cashless
60
English
20
Temperature
24.6°C
Summer Avg
26.0°C
Winter Avg
23.1°C
Record High
29.9°C
Record Low
18.7°C
Humidity
81%
Precipitation
1003 mm
Internet Speed
207 Mbps
Upload
90 Mbps
Latency
19 ms
City Vibrancy
42
Coworking
0
Cafes
8
Nightlife
8
Parks
26
Transport
0
Walk Score
0
Footways
—
Airport
VIX
Distance
8 km
Explore
Neighborhoods
Mapped101 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 101 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 43 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 - 101 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 72/100.
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