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Tamulte de las Sabanas
City in Tabasco, Mexico
Overview
Tamulté de las Sabanas is a semi-rural locality in Tabasco, Mexico, known for its rich indigenous heritage and lively community culture. While small, it's a gateway to local traditions with a strong connection to the surrounding wetlands and countryside.
Geographic Context
Jurisdiction
Mexico
State
Tabasco
Population
—
Time Zone
America/Mexico_City
Coordinates
18.16°, -92.78°
Key Metrics
Safety Score · estimate
35
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
55
Monthly Cost · estimate
$755
Local Cost
$422
Local Income
$295
Cashless
20
English
15
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
86 Mbps
Upload
72 Mbps
Latency
20 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
VSA
Distance
19 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 2026-03-21.
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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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