San Lorenzo Cuauhtenco
City in Morelos, Mexico
Overview
San Lorenzo Cuauhtenco is a tranquil small town set in the state of Morelos, Mexico. Known for its traditional Morelos culture, welcoming locals, and relaxed pace, it appeals to those seeking authenticity and rural charm.
Geographic Context
Jurisdiction
Mexico
State
Morelos
Population
—
Time Zone
America/Mexico_City
Coordinates
19.20°, -99.63°
Key Metrics
Safety Score · estimate
50
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$698
Local Cost
$430
Local Income
$400
Cashless
25
English
15
Temperature
17.5°C
Summer Avg
18.3°C
Winter Avg
15.2°C
Record High
34.6°C
Record Low
0.9°C
Humidity
62%
Precipitation
929 mm
Internet Speed
67 Mbps
Upload
65 Mbps
Latency
8 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
TLC
Distance
17 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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.