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Departamento de Maipú

City in Mendoza, Argentina

Overview

Departamento de Maipú, located just southeast of Mendoza city, is the heart of Argentina's wine country. With lush vineyards, charming small towns, and a blend of rural and urban life, it offers an inviting mix for culture seekers and wine lovers.

Geographic Context

Jurisdiction
Argentina
Province
Mendoza
Population
219,402
Time Zone
America/Argentina/Buenos_Aires
Coordinates
-33.00°, -68.58°

Key Metrics

Safety Score · estimate
60
Female Safety
58
LGBTQ+ Safety
60
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$753
Local Cost
$450
Local Income
$340
Cashless
55
English
25
Temperature
16.9°C
Summer Avg
24.6°C
Winter Avg
9.0°C
Record High
43.0°C
Record Low
-5.4°C
Humidity
46%
Precipitation
289 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MDZ
Distance
27 km

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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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