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Tiholop

City in Yucatán, Mexico

Overview

Tiholop is a small, traditional town set in the Yucatán Peninsula, best known for its quiet streets, friendly locals, and colonial architecture. It offers an authentic experience for travelers looking to explore rural Mexico away from the crowds.

Geographic Context

Jurisdiction
Mexico
State
Yucatán
Population
1,463
Time Zone
America/Mexico_City
Coordinates
20.33°, -88.69°

Key Metrics

Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$510
Local Cost
$310
Local Income
$250
Cashless
25
English
20
Temperature
26.3°C
Summer Avg
27.3°C
Winter Avg
24.1°C
Record High
41.7°C
Record Low
10.1°C
Humidity
75%
Precipitation
1211 mm
Internet Speed
6 Mbps
Upload
6 Mbps
Latency
62 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CZA
Distance
43 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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