La Cuesta
City in Veracruz de Ignacio de la Llave, Mexico
Overview
La Cuesta is a small, tranquil village set in the mountains of Veracruz, known for its rural charm and strong sense of community. Life here moves at a relaxed pace, offering visitors an authentic slice of everyday Mexican culture amid beautiful natural surroundings.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
2,095
Time Zone
America/Mexico_City
Coordinates
18.79°, -97.17°
Key Metrics
Safety Score · estimate
40
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
40
Monthly Cost · estimate
$575
Local Cost
$322
Local Income
$260
Cashless
10
English
10
Temperature
19.2°C
Summer Avg
21.0°C
Winter Avg
15.9°C
Record High
39.8°C
Record Low
1.4°C
Humidity
79%
Precipitation
1402 mm
Internet Speed
7 Mbps
Upload
3 Mbps
Latency
72 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
TCN
Distance
42 km
Explore
Data sources
Source-backed data
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.