Macedonio Alonso
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Macedonio Alonso is a small, tranquil town in Veracruz, Mexico, surrounded by lush countryside and lively local culture. It offers a glimpse into authentic rural life with welcoming locals, fresh markets, and simple pleasures outside the bustle of major cities.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
—
Time Zone
America/Mexico_City
Coordinates
20.27°, -97.69°
Key Metrics
Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$567
Local Cost
$380
Local Income
$180
Cashless
20
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
7 Mbps
Upload
7 Mbps
Latency
49 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PAZ
Distance
43 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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.