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Arroio do Meio
City in Rio Grande do Sul, Brazil
Overview
Arroio do Meio is a small, welcoming town in Rio Grande do Sul, surrounded by beautiful rural landscapes and rich German-Brazilian traditions. Visitors will find a relaxed pace of life, charming neighborhoods, and friendly locals, all set alongside the scenic Forqueta River.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
22,523
Time Zone
America/Sao_Paulo
Coordinates
-29.40°, -51.95°
Key Metrics
Safety Score
75
Female Safety
68
LGBTQ+ Safety
55
Traffic Safety
60
Food Safety
72
Monthly Cost
$645
Local Cost
$377
Local Income
$450
Cashless
35
English
18
Temperature
19.0°C
Summer Avg
23.8°C
Winter Avg
13.9°C
Record High
40.6°C
Record Low
-2.5°C
Humidity
82%
Precipitation
1577 mm
Internet Speed
351 Mbps
Upload
261 Mbps
Latency
7 ms
City Vibrancy
6
Coworking
0
Cafes
0
Nightlife
0
Parks
6
Transport
0
Walk Score
0
Footways
—
Airport
BGV
Distance
48 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 45 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 2026-03-23.
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 57/100.
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