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Salvador Urbina
City in Chiapas, Mexico
Overview
Salvador Urbina is a tranquil village set amid the lush highlands of Chiapas, well known for its coffee production and strong community spirit. Visitors can experience rural Mexican culture, scenic landscapes, and learn about traditional coffee growing.
Geographic Context
Jurisdiction
Mexico
State
Chiapas
Population
—
Time Zone
America/Mexico_City
Coordinates
15.04°, -92.21°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
32
Traffic Safety
48
Food Safety
55
Monthly Cost · estimate
$532
Local Cost
$340
Local Income
$270
Cashless
10
English
15
Temperature
26.3°C
Summer Avg
26.3°C
Winter Avg
25.7°C
Record High
38.7°C
Record Low
16.2°C
Humidity
76%
Precipitation
2570 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TAP
Distance
33 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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