La Camelia
City in Veracruz de Ignacio de la Llave, Mexico
Overview
La Camelia is a tiny rural village in the lush state of Veracruz, Mexico, where traditional life and natural beauty converge. With just over 100 residents, it offers an authentic glimpse into local Mexican village culture and the region's fertile landscapes.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
104
Time Zone
America/Mexico_City
Coordinates
20.90°, -97.77°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$552
Local Cost
$332
Local Income
$200
Cashless
10
English
15
Temperature
24.5°C
Summer Avg
27.7°C
Winter Avg
20.0°C
Record High
45.5°C
Record Low
2.4°C
Humidity
79%
Precipitation
1307 mm
Internet Speed
60 Mbps
Upload
35 Mbps
Latency
20 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PAZ
Distance
46 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 2026-03-23.
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.