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Mochis
City in Sinaloa, Mexico
Overview
Los Mochis is a lively city in Sinaloa, Mexico, serving as a gateway to the Copper Canyon railway and the Sea of Cortez. The city blends local culture with modern amenities and is known for agricultural innovation, parks, and friendly residents.
Geographic Context
Jurisdiction
Mexico
State
Sinaloa
Population
—
Time Zone
America/Mexico_City
Coordinates
25.83°, -109.05°
Key Metrics
Safety Score · estimate
30
Female Safety
35
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$928
Local Cost
$570
Local Income
$480
Cashless
30
English
20
Temperature
25.2°C
Summer Avg
30.1°C
Winter Avg
19.3°C
Record High
44.6°C
Record Low
0.6°C
Humidity
55%
Precipitation
536 mm
Internet Speed
88 Mbps
Upload
32 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LMM
Distance
16 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. 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 2026-03-22.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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