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Orcotuna

City in Junín, Peru

Overview

Orcotuna is a picturesque small town set in the Mantaro Valley of central Peru, blending quiet Andean charm with rich local traditions. Known for its agricultural heritage, the town offers a friendly, authentic experience far from crowded tourist routes.

Geographic Context

Jurisdiction
Peru
Region
Junín
Population
4,199
Time Zone
America/Lima
Coordinates
-11.97°, -75.31°

Key Metrics

Safety Score · estimate
68
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
60
Monthly Cost · estimate
$398
Local Cost
$227
Local Income
$200
Cashless
20
English
20
Temperature
8.7°C
Summer Avg
9.1°C
Winter Avg
7.8°C
Record High
22.0°C
Record Low
-4.5°C
Humidity
76%
Precipitation
390 mm
Internet Speed
111 Mbps
Upload
92 Mbps
Latency
3 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
1
Walk Score
1
Footways
1.0
Airport
JAU
Distance
27 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 6 tests. Record updated 2025-12-05.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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