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Carhuaz

City in Áncash, Peru

Overview

Carhuaz is a small Andean city in the Áncash region of Peru, known for its lively markets, scenic views of the Cordillera Blanca, and welcoming atmosphere. It is a gateway for trekking and rural tourism in the surrounding valleys.

Geographic Context

Jurisdiction
Peru
Region
Áncash
Population
5,044
Time Zone
America/Lima
Coordinates
-9.28°, -77.64°

Key Metrics

Safety Score · estimate
56
Female Safety
45
LGBTQ+ Safety
28
Traffic Safety
60
Food Safety
40
Monthly Cost · estimate
$637
Local Cost
$354
Local Income
$250
Cashless
18
English
15
Temperature
8.3°C
Summer Avg
8.4°C
Winter Avg
7.4°C
Record High
21.0°C
Record Low
-5.4°C
Humidity
64%
Precipitation
372 mm
Internet Speed
246 Mbps
Upload
195 Mbps
Latency
8 ms
City Vibrancy
14
Coworking
0
Cafes
5
Nightlife
2
Parks
7
Transport
39
Walk Score
39
Footways
78.0
Airport
ATA
Distance
9 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 68 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: 61/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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