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San Vicente
City in Buenos Aires, Argentina
Overview
San Vicente is a small, welcoming city in Buenos Aires Province, known for its scenic landscapes, tranquil lifestyle, and close-knit community. Visitors are drawn to its charming central plaza, historic streets, and proximity to beautiful natural attractions like Laguna del Ojo.
Geographic Context
Jurisdiction
Argentina
Province
Buenos Aires
Population
38,247
Time Zone
America/Argentina/Buenos_Aires
Coordinates
-35.08°, -58.75°
Key Metrics
Safety Score · estimate
54
Female Safety
58
LGBTQ+ Safety
52
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$803
Local Cost
$525
Local Income
$320
Cashless
41
English
25
Temperature
16.4°C
Summer Avg
23.5°C
Winter Avg
9.6°C
Record High
42.4°C
Record Low
-5.0°C
Humidity
74%
Precipitation
1068 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
EZE
Distance
35 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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