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Departamento de Rawson

City in San Juan, Argentina

Overview

Departamento de Rawson, situated in the southern part of San Juan city, blends urban bustle with quiet residential zones. Its neighborhoods each offer a distinct local identity, set against the backdrop of Andean foothills and lively Argentinean culture.

Geographic Context

Jurisdiction
Argentina
Province
San Juan
Population
145,763
Time Zone
America/Argentina/Buenos_Aires
Coordinates
-31.70°, -68.47°

Key Metrics

Safety Score · estimate
52
Female Safety
46
LGBTQ+ Safety
48
Traffic Safety
43
Food Safety
59
Monthly Cost · estimate
$810
Local Cost
$505
Local Income
$340
Cashless
38
English
20
Temperature
16.9°C
Summer Avg
23.6°C
Winter Avg
10.2°C
Record High
43.0°C
Record Low
-7.3°C
Humidity
38%
Precipitation
145 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
UAQ
Distance
15 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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