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Melchor Ocampo

City in Sinaloa, Mexico

Overview

Melchor Ocampo is a small, peaceful town in Sinaloa, Mexico, known for its agricultural traditions and friendly residents. With a slow pace and a welcoming atmosphere, it's ideal for travelers seeking authentic rural Mexican life. The town offers simple amenities, lively local gatherings, and scenic surroundings.

Geographic Context

Jurisdiction
Mexico
State
Sinaloa
Population
527
Time Zone
America/Mexico_City
Coordinates
25.05°, -107.89°

Key Metrics

Safety Score · estimate
30
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
45
Monthly Cost · estimate
$498
Local Cost
$335
Local Income
$250
Cashless
15
English
10
Temperature
25.2°C
Summer Avg
29.5°C
Winter Avg
20.2°C
Record High
38.5°C
Record Low
6.3°C
Humidity
63%
Precipitation
599 mm
Internet Speed
60 Mbps
Upload
4 Mbps
Latency
25 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1

Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 16 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.

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 2026-03-23.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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