Escolín de Olarte
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Escolín de Olarte is a small, traditional community set in the lush hills of northern Veracruz. It is known for its tranquil rural lifestyle and welcoming locals. The town offers an authentic glimpse into life in Mexico's Totonac region, with colorful markets and lingering colonial influences.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
—
Time Zone
America/Mexico_City
Coordinates
20.50°, -97.42°
Key Metrics
Safety Score · estimate
35
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
40
Monthly Cost · estimate
$684
Local Cost
$372
Local Income
$220
Cashless
10
English
10
Temperature
24.0°C
Summer Avg
27.0°C
Winter Avg
19.5°C
Record High
47.4°C
Record Low
-0.7°C
Humidity
77%
Precipitation
1499 mm
Internet Speed
57 Mbps
Upload
62 Mbps
Latency
10 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
1
Walk Score
1
Footways
2.0
Airport
PAZ
Distance
12 km
Explore
Data sources
Source-backed data
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: 25/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.