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Supe

City in Lima, Peru

Overview

Supe is a small coastal town in the Lima region of Peru, known for its traditional Peruvian culture and proximity to the historic archaeological site of Caral. The city offers a laid-back pace, fresh seafood, and beaches with a rugged, local feel.

Geographic Context

Jurisdiction
Peru
Region
Lima
Population
24,318
Time Zone
America/Lima
Coordinates
-10.80°, -77.71°

Key Metrics

Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$537
Local Cost
$315
Local Income
$280
Cashless
20
English
10
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
141 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
—
Distance
—

Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 34 tests. 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 2025-12-06.

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 2026-01-15.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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