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Ilabaya

City in Tacna, Peru

Overview

Ilabaya is a small, peaceful town set in southern Peru's Tacna region, known for its rural charm and strong agricultural traditions. The town offers travelers an authentic glimpse into local Andean life, with beautiful valleys, friendly residents, and scenic walking trails.

Geographic Context

Jurisdiction
Peru
Region
Tacna
Population
5,695
Time Zone
America/Lima
Coordinates
-17.42°, -70.51°

Key Metrics

Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
40
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$413
Local Cost
$300
Local Income
$290
Cashless
20
English
20
Temperature
17.5°C
Summer Avg
17.9°C
Winter Avg
16.6°C
Record High
29.7°C
Record Low
5.8°C
Humidity
50%
Precipitation
66 mm
Internet Speed
45 Mbps
Upload
13 Mbps
Latency
36 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 11 tests. Record updated 2025-12-06.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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