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Yalkoba

City in Yucatán, Mexico

Overview

Yalkoba is a small village in Yucatán, Mexico, surrounded by lush forests and immersed in Mayan heritage. Its quiet streets and close-knit community offer a peaceful retreat from the bustle of larger cities. Visitors are welcomed with authentic hospitality and a taste of rural life.

Geographic Context

Jurisdiction
Mexico
State
Yucatán
Population
—
Time Zone
America/Mexico_City
Coordinates
20.79°, -88.04°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$667
Local Cost
$342
Local Income
$290
Cashless
15
English
25
Temperature
26.1°C
Summer Avg
27.4°C
Winter Avg
23.8°C
Record High
41.5°C
Record Low
11.6°C
Humidity
76%
Precipitation
1169 mm
Internet Speed
34 Mbps
Upload
41 Mbps
Latency
27 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TZM
Distance
43 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 15 tests. 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 2026-03-21.
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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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