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Vicuña Mackenna
City in Córdoba, Argentina
Overview
Vicuña Mackenna is a charming town in southern Córdoba province with a close-knit population and a strong agricultural tradition. The city offers a laid-back rural atmosphere, local markets, and is surrounded by vast Pampas landscapes.
Geographic Context
Jurisdiction
Argentina
Province
Córdoba
Population
8,994
Time Zone
America/Argentina/Buenos_Aires
Coordinates
-33.92°, -64.39°
Key Metrics
Safety Score · estimate
67
Female Safety
60
LGBTQ+ Safety
43
Traffic Safety
62
Food Safety
72
Monthly Cost · estimate
$646
Local Cost
$418
Local Income
$300
Cashless
31
English
24
Temperature
16.7°C
Summer Avg
23.8°C
Winter Avg
9.1°C
Record High
44.9°C
Record Low
-5.1°C
Humidity
65%
Precipitation
816 mm
Internet Speed
17 Mbps
Upload
17 Mbps
Latency
5 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
17
Walk Score
17
Footways
34.0
Airport
—
Distance
—
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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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