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Barranco
City in Municipalidad Metropolitana de Lima, Peru
Overview
Barranco is Lima's most artistic and bohemian district, famous for its lively nightlife, coastal scenery, and colorful street art. Once a seaside resort, today it blends tradition and modernity with creative spaces, galleries, and trendy eateries.
Geographic Context
Jurisdiction
Peru
Municipality
Municipalidad Metropolitana de Lima
Population
34,378
Time Zone
America/Lima
Coordinates
-12.15°, -77.02°
Key Metrics
Safety Score · estimate
54
Female Safety
52
LGBTQ+ Safety
48
Traffic Safety
35
Food Safety
63
Monthly Cost · estimate
$1,085
Local Cost
$715
Local Income
$500
Cashless
50
English
28
Temperature
18.2°C
Summer Avg
19.3°C
Winter Avg
16.9°C
Record High
27.3°C
Record Low
10.3°C
Humidity
68%
Precipitation
23 mm
Internet Speed
238 Mbps
Upload
166 Mbps
Latency
7 ms
City Vibrancy
199
Coworking
2
Cafes
40
Nightlife
36
Parks
121
Transport
0
Walk Score
0
Footways
—
Airport
LIM
Distance
18 km
Explore
Data sources
Source-backed data
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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