2da. Sección de Medio Monte
City in Chiapas, Mexico
Overview
2da. Sección de Medio Monte is a rural locality in Chiapas, Mexico, characterized by its tranquil environment, traditional agricultural lifestyle, and strong community bonds. While small and off the beaten path, it offers an authentic experience for travelers seeking local culture and rural landscapes.
Geographic Context
Jurisdiction
Mexico
State
Chiapas
Population
—
Time Zone
America/Mexico_City
Coordinates
14.88°, -92.18°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
50
Monthly Cost · estimate
$539
Local Cost
$288
Local Income
$180
Cashless
15
English
10
Temperature
18.6°C
Summer Avg
19.2°C
Winter Avg
17.2°C
Record High
31.6°C
Record Low
5.4°C
Humidity
83%
Precipitation
2012 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TAP
Distance
23 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 2026-03-22.
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: 30/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.