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Gualeguaychú
City in Entre Ríos, Argentina
Overview
Gualeguaychú is a lively riverside city in Entre Ríos, Argentina, known for its iconic Carnaval, lively cultural traditions, and picturesque waterfront. With friendly locals, historic neighborhoods, and lush parks, it offers a relaxed yet festive atmosphere year-round.
Geographic Context
Jurisdiction
Argentina
Province
Entre Ríos
Population
109,461
Time Zone
America/Argentina/Buenos_Aires
Coordinates
-33.01°, -58.52°
Key Metrics
Safety Score
58
Female Safety
56
LGBTQ+ Safety
54
Traffic Safety
52
Food Safety
81
Monthly Cost
$944
Local Cost
$507
Local Income
$275
Cashless
44
English
28
Temperature
17.8°C
Summer Avg
24.7°C
Winter Avg
11.0°C
Record High
43.9°C
Record Low
-4.0°C
Humidity
73%
Precipitation
1269 mm
Internet Speed
106 Mbps
Upload
37 Mbps
Latency
18 ms
City Vibrancy
94
Coworking
0
Cafes
6
Nightlife
5
Parks
83
Transport
0
Walk Score
0
Footways
—
Airport
GHU
Distance
9 km
Explore
Neighborhoods
Mapped10 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 10 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 51 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 - 10 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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