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Fraccionamiento las Fuentes
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Fraccionamiento las Fuentes is a quaint, peaceful locality in Veracruz state, offering a genuine glimpse into small-town Mexican life. With a close-knit community of just over 160 residents, visitors will find a quiet, safe atmosphere and authentic local charm.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
162
Time Zone
America/Mexico_City
Coordinates
19.50°, -96.89°
Key Metrics
Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
25
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$582
Local Cost
$347
Local Income
$300
Cashless
15
English
15
Temperature
19.3°C
Summer Avg
21.2°C
Winter Avg
15.8°C
Record High
38.9°C
Record Low
1.2°C
Humidity
78%
Precipitation
1461 mm
Internet Speed
147 Mbps
Upload
73 Mbps
Latency
4 ms
City Vibrancy
12
Coworking
0
Cafes
8
Nightlife
2
Parks
2
Transport
24
Walk Score
24
Footways
48.0
Airport
JAL
Distance
10 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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