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Buenos Aires

City in Piura, Peru

Overview

Buenos Aires is a small, authentic town in the Piura region of northern Peru, offering a glimpse into daily life in rural Peru away from the tourist trail. It is characterized by warm hospitality, lively local markets, and proximity to natural scenery.

Geographic Context

Jurisdiction
Peru
Region
Piura
Population
—
Time Zone
America/Lima
Coordinates
-5.26°, -79.96°

Key Metrics

Safety Score · estimate
35
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
40
Monthly Cost · estimate
$490
Local Cost
$303
Local Income
$180
Cashless
15
English
10
Temperature
24.5°C
Summer Avg
25.0°C
Winter Avg
24.0°C
Record High
40.4°C
Record Low
12.9°C
Humidity
61%
Precipitation
175 mm
Internet Speed
2 Mbps
Upload
2 Mbps
Latency
45 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
5
Walk Score
5
Footways
10.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 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 2026-03-23.
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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