San José de Bacum
City in Sonora, Mexico
Overview
San José de Bacum is a peaceful, small town in southern Sonora known for its strong Yaqui culture and tranquil rural atmosphere. Visitors can experience traditional customs, local agriculture, and authentic northern Mexican hospitality.
Geographic Context
Jurisdiction
Mexico
State
Sonora
Population
4,318
Time Zone
America/Mexico_City
Coordinates
27.51°, -110.14°
Key Metrics
Safety Score · estimate
45
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
40
Food Safety
60
Monthly Cost · estimate
$710
Local Cost
$440
Local Income
$300
Cashless
10
English
10
Temperature
24.9°C
Summer Avg
30.9°C
Winter Avg
18.3°C
Record High
44.7°C
Record Low
-0.4°C
Humidity
49%
Precipitation
394 mm
Internet Speed
34 Mbps
Upload
7 Mbps
Latency
187 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
CEN
Distance
34 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 2025-12-07.
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.