Acula

City in Veracruz de Ignacio de la Llave, Mexico

Overview

Acula is a tiny rural town in the southern region of Veracruz, Mexico, with a close-knit community and tranquil surroundings. The pace of life is slow, making it ideal for visitors seeking an authentic local experience and quiet relaxation. Nature and rural traditions are the highlights here.

Geographic Context

Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
5
Time Zone
America/Mexico_City
Coordinates
18.51°, -95.77°

Key Metrics

Safety Score · estimate
30
Female Safety
35
LGBTQ+ Safety
25
Traffic Safety
40
Food Safety
30
Monthly Cost · estimate
$445
Local Cost
$220
Local Income
$100
Cashless
5
English
5
Temperature
25.3°C
Summer Avg
27.5°C
Winter Avg
21.5°C
Record High
43.6°C
Record Low
11.2°C
Humidity
81%
Precipitation
1901 mm
Internet Speed
21 Mbps
Upload
9 Mbps
Latency
66 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
1
Parks
1

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Prices & expenses
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Temperature & conditions
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Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 11 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.