Chan Cenote
City in Yucatán, Mexico
Overview
Chan Cenote is a small, authentic Yucatecan town known for its stunning natural cenotes and warm community spirit. Visitors will find traditional Mexican life, outdoor adventures, and easy connections to nearby archaeological sites. It is ideal for travelers seeking a laid-back alternative to the larger touristic cities.
Geographic Context
Jurisdiction
Mexico
State
Yucatán
Population
2,225
Time Zone
America/Mexico_City
Coordinates
20.99°, -87.79°
Key Metrics
Safety Score · estimate
60
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
70
Food Safety
60
Monthly Cost · estimate
$705
Local Cost
$430
Local Income
$250
Cashless
20
English
15
Temperature
25.9°C
Summer Avg
27.4°C
Winter Avg
23.6°C
Record High
39.1°C
Record Low
12.7°C
Humidity
78%
Precipitation
1220 mm
Internet Speed
16 Mbps
Upload
22 Mbps
Latency
41 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
TZM
Distance
44 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.