Saltabarranca
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Saltabarranca is a small and tranquil town in Veracruz, set near lush sugar cane fields and the Papaloapan River. The town offers a glimpse into local Mexican life with lively markets and friendly neighborhoods. Its slower pace and authentic charm make it a pleasant stop for travelers seeking genuine regional culture.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
6,147
Time Zone
America/Mexico_City
Coordinates
18.59°, -95.53°
Key Metrics
Safety Score · estimate
45
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
35
Food Safety
60
Monthly Cost · estimate
$540
Local Cost
$288
Local Income
$210
Cashless
20
English
10
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
29 Mbps
Upload
60 Mbps
Latency
17 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.