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San Carlos
City in Maldonado, Uruguay
Overview
San Carlos is a charming mid-sized city in the Maldonado Department, blending Uruguay's rural traditions with small-town hospitality. Its welcoming streets, historic buildings, and close-knit community provide an authentic Uruguayan experience not far from the beaches of Punta del Este.
Geographic Context
Jurisdiction
Uruguay
Department
Maldonado
Population
27,471
Time Zone
America/Montevideo
Coordinates
-34.79°, -54.92°
Key Metrics
Safety Score
68
Female Safety
65
LGBTQ+ Safety
70
Traffic Safety
70
Food Safety
90
Monthly Cost
$1,135
Local Cost
$760
Local Income
$600
Cashless
45
English
30
Temperature
16.5°C
Summer Avg
21.6°C
Winter Avg
11.4°C
Record High
33.3°C
Record Low
3.0°C
Humidity
80%
Precipitation
1211 mm
Internet Speed
84 Mbps
Upload
33 Mbps
Latency
8 ms
City Vibrancy
11
Coworking
0
Cafes
0
Nightlife
4
Parks
7
Transport
0
Walk Score
0
Footways
—
Airport
PDP
Distance
18 km
Explore
Neighborhoods
Mapped27 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 27 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 4 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 - 27 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 58/100.
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