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Pan de Azúcar
City in Maldonado, Uruguay
Overview
Pan de Azúcar is a small yet lively city in Maldonado, Uruguay, set close to hills and surrounded by lush landscapes. Its central plaza and friendly neighborhoods offer a glimpse into authentic Uruguayan provincial life, making it a great base for exploring the countryside and local culture.
Geographic Context
Jurisdiction
Uruguay
Department
Maldonado
Population
6,597
Time Zone
America/Montevideo
Coordinates
-34.78°, -55.24°
Key Metrics
Safety Score · estimate
73
Female Safety
70
LGBTQ+ Safety
70
Traffic Safety
65
Food Safety
85
Monthly Cost · estimate
$1,144
Local Cost
$672
Local Income
$500
Cashless
35
English
25
Temperature
16.5°C
Summer Avg
21.6°C
Winter Avg
11.4°C
Record High
33.3°C
Record Low
3.0°C
Humidity
80%
Precipitation
1211 mm
City Vibrancy
6
Coworking
0
Cafes
1
Nightlife
1
Parks
4
Transport
1
Walk Score
1
Footways
2.0
Airport
PDP
Distance
15 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 2025-12-07.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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