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Puerto Supe

City in Lima, Peru

Overview

Puerto Supe is a small coastal town in the Lima region of Peru, known for its tranquil beaches, fishing heritage, and relaxed atmosphere. It is a gateway to beaches and nearby archeological sites, making it an appealing stop for travelers seeking an off-the-beaten-path experience.

Geographic Context

Jurisdiction
Peru
Region
Lima
Population
—
Time Zone
America/Lima
Coordinates
-10.80°, -77.74°

Key Metrics

Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$560
Local Cost
$345
Local Income
$280
Cashless
18
English
15
Temperature
19.3°C
Summer Avg
21.0°C
Winter Avg
17.6°C
Record High
28.8°C
Record Low
11.0°C
Humidity
73%
Precipitation
56 mm
Internet Speed
157 Mbps
Upload
134 Mbps
Latency
8 ms
City Vibrancy
6
Coworking
0
Cafes
0
Nightlife
0
Parks
6
Transport
7
Walk Score
7
Footways
14.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 67 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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