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Mochumí

City in Lambayeque, Peru

Overview

Mochumí is a charming small town in the Lambayeque region of northern Peru, known for its agricultural traditions and close-knit community. Visitors can experience authentic local life, traditional foods, and a relaxed pace away from the bustle of larger cities.

Geographic Context

Jurisdiction
Peru
Region
Lambayeque
Population
7,460
Time Zone
America/Lima
Coordinates
-6.54°, -79.86°

Key Metrics

Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
45
Monthly Cost · estimate
$410
Local Cost
$265
Local Income
$280
Cashless
20
English
15
Temperature
22.8°C
Summer Avg
24.4°C
Winter Avg
21.4°C
Record High
36.1°C
Record Low
13.9°C
Humidity
73%
Precipitation
87 mm
Internet Speed
170 Mbps
Upload
158 Mbps
Latency
2 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
3
Walk Score
3
Footways
5.0
Airport
CIX
Distance
28 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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