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Erechim
City in Rio Grande do Sul, Brazil
Overview
Erechim is a lively mid-sized city set in the rolling hills of northwestern Rio Grande do Sul. Known for its European-influenced architecture and welcoming atmosphere, Erechim offers a blend of cultural events and scenic parks, making it an attractive destination for travelers.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
96,087
Time Zone
America/Sao_Paulo
Coordinates
-27.63°, -52.28°
Key Metrics
Safety Score
70
Female Safety
65
LGBTQ+ Safety
55
Traffic Safety
60
Food Safety
82
Monthly Cost
$948
Local Cost
$450
Local Income
$520
Cashless
48
English
25
Temperature
18.6°C
Summer Avg
22.8°C
Winter Avg
13.9°C
Record High
38.1°C
Record Low
-4.6°C
Humidity
81%
Precipitation
1777 mm
Internet Speed
250 Mbps
Upload
83 Mbps
Latency
18 ms
City Vibrancy
38
Coworking
0
Cafes
0
Nightlife
3
Parks
35
Transport
0
Walk Score
0
Footways
—
Airport
ERM
Distance
3 km
Explore
Neighborhoods
Mapped57 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 57 neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-21.
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 146 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 - 57 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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