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Jamapa
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Jamapa is a charming small town in Veracruz, Mexico, known for its lively community, traditional cuisine, and nearby natural beauty. It is a quiet retreat for travelers seeking an authentic local experience away from the bustle of larger cities.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
11,361
Time Zone
America/Mexico_City
Coordinates
19.04°, -96.24°
Key Metrics
Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$632
Local Cost
$371
Local Income
$320
Cashless
20
English
20
Temperature
25.2°C
Summer Avg
27.3°C
Winter Avg
21.6°C
Record High
44.1°C
Record Low
9.6°C
Humidity
78%
Precipitation
1639 mm
Internet Speed
156 Mbps
Upload
28 Mbps
Latency
12 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
2
Walk Score
2
Footways
3.0
Airport
VER
Distance
12 km
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.
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