Campo Sesenta
City in Sonora, Mexico
Overview
Campo Sesenta is a small rural town in Sonora, Mexico, recognized for its agricultural production and quiet, community-based lifestyle. While not a tourist hotspot, it offers authentic Mexican experiences and friendly locals. Its proximity to natural scenery makes it a pleasant base to experience rural Sonoran culture.
Geographic Context
Jurisdiction
Mexico
State
Sonora
Population
—
Time Zone
America/Mexico_City
Coordinates
27.45°, -110.10°
Key Metrics
Safety Score · estimate
25
Female Safety
35
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
30
Monthly Cost · estimate
$905
Local Cost
$505
Local Income
$0
Cashless
10
English
5
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
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
CEN
Distance
27 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 2026-03-23.
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: 85/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.