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Lomas Verdes
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Lomas Verdes is a scenic town set in the verdant hills of Veracruz, Mexico. It offers a blend of traditional culture, friendly communities, and local gastronomy, all set against a lush natural backdrop. The city remains off the main tourist track, making it ideal for a more authentic experience.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
—
Time Zone
America/Mexico_City
Coordinates
19.50°, -96.89°
Key Metrics
Safety Score · estimate
52
Female Safety
55
LGBTQ+ Safety
45
Traffic Safety
58
Food Safety
62
Monthly Cost · estimate
$892
Local Cost
$544
Local Income
$350
Cashless
32
English
20
Temperature
19.3°C
Summer Avg
21.2°C
Winter Avg
15.8°C
Record High
38.9°C
Record Low
1.2°C
Humidity
78%
Precipitation
1461 mm
Internet Speed
122 Mbps
Upload
70 Mbps
Latency
4 ms
City Vibrancy
18
Coworking
0
Cafes
11
Nightlife
2
Parks
5
Transport
43
Walk Score
43
Footways
86.0
Airport
JAL
Distance
10 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 2026-03-22.
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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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