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Iúna
City in Espírito Santo, Brazil
Overview
Iúna is a small city set amidst the scenic mountains of Espírito Santo, known for its friendly atmosphere and close-knit community. With a mix of tranquil neighborhoods and a busy center, visitors can experience authentic Brazilian rural life while enjoying convenient local amenities.
Geographic Context
Jurisdiction
Brazil
State
Espírito Santo
Population
30,556
Time Zone
America/Sao_Paulo
Coordinates
-20.35°, -41.54°
Key Metrics
Safety Score
55
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
65
Monthly Cost
$657
Local Cost
$380
Local Income
$330
Cashless
40
English
8
Temperature
21.2°C
Summer Avg
23.1°C
Winter Avg
18.6°C
Record High
39.0°C
Record Low
7.1°C
Humidity
79%
Precipitation
1200 mm
Internet Speed
167 Mbps
Upload
133 Mbps
Latency
4 ms
City Vibrancy
14
Coworking
0
Cafes
0
Nightlife
3
Parks
11
Transport
28
Walk Score
28
Footways
56.0
Airport
—
Distance
—
Explore
Neighborhoods
Mapped14 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 14 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 26 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 2025-12-06.
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 - 14 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 65/100.
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