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Departamento de General San Martín
City in Córdoba, Argentina
Overview
Departamento de General San Martín, centered around the lively city of Villa María, is a lively region in Córdoba known for its rich cultural scene, riverside parks, and friendly community. Visitors enjoy a mix of historic charm, local festivals, and relaxed living.
Geographic Context
Jurisdiction
Argentina
Province
Córdoba
Population
154,269
Time Zone
America/Argentina/Buenos_Aires
Coordinates
-32.50°, -63.33°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
60
Traffic Safety
50
Food Safety
80
Monthly Cost · estimate
$887
Local Cost
$480
Local Income
$315
Cashless
45
English
22
Temperature
17.2°C
Summer Avg
23.9°C
Winter Avg
9.9°C
Record High
42.4°C
Record Low
-5.1°C
Humidity
69%
Precipitation
883 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
VMR
Distance
22 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: 53/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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