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Joaquín Suárez
City in Canelones, Uruguay
Overview
Joaquín Suárez is a tranquil small city in the Canelones region of Uruguay, known for its friendly community and green surroundings. It offers an authentic Uruguayan small-town experience, with local markets, parks, and proximity to Montevideo.
Geographic Context
Jurisdiction
Uruguay
Department
Canelones
Population
6,570
Time Zone
America/Montevideo
Coordinates
-34.74°, -56.03°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
75
Traffic Safety
60
Food Safety
80
Monthly Cost · estimate
$1,082
Local Cost
$712
Local Income
$550
Cashless
50
English
25
Temperature
16.7°C
Summer Avg
23.2°C
Winter Avg
10.5°C
Record High
41.2°C
Record Low
-2.7°C
Humidity
76%
Precipitation
1197 mm
Internet Speed
597 Mbps
Upload
44 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
MVD
Distance
11 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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