Veinte de Noviembre
City in Tabasco, Mexico
Overview
Veinte de Noviembre is a small, close-knit town set in Tabasco, Mexico, known for its community spirit and tranquil rural atmosphere. Visitors can experience authentic local life, relax by waterways, and enjoy traditional Mexican cuisine.
Geographic Context
Jurisdiction
Mexico
State
Tabasco
Population
2,207
Time Zone
America/Mexico_City
Coordinates
17.85°, -92.59°
Key Metrics
Safety Score · estimate
48
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
40
Monthly Cost · estimate
$564
Local Cost
$335
Local Income
$200
Cashless
25
English
20
Temperature
26.1°C
Summer Avg
27.7°C
Winter Avg
22.7°C
Record High
45.1°C
Record Low
11.2°C
Humidity
80%
Precipitation
2129 mm
Internet Speed
46 Mbps
Upload
45 Mbps
Latency
45 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
VSA
Distance
29 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 2025-12-08.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.