San José de Abajo
City in Veracruz de Ignacio de la Llave, Mexico
Overview
San José de Abajo is a small, charming town in the state of Veracruz, Mexico, known for its relaxed vibe and rich agricultural surroundings. While off the beaten path, it offers a welcoming atmosphere and glimpses into traditional Mexican rural life. The community is noted for its local events, fresh produce, and warm hospitality.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
—
Time Zone
America/Mexico_City
Coordinates
18.78°, -96.78°
Key Metrics
Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
40
Food Safety
50
Monthly Cost · estimate
$820
Local Cost
$457
Local Income
$180
Cashless
15
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
68 Mbps
Upload
26 Mbps
Latency
32 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
—
Distance
—
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.