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Caquixtle de Arriba
City in Jalisco, Mexico
Overview
Caquixtle de Arriba is a small, rural village in Jalisco, Mexico, known for its close-knit community and peaceful countryside. Life here revolves around traditional Mexican culture, with friendly locals and scenic surroundings. It offers an authentic experience away from tourist crowds.
Geographic Context
Jurisdiction
Mexico
State
Jalisco
Population
260
Time Zone
America/Mexico_City
Coordinates
21.51°, -102.07°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
70
Food Safety
50
Monthly Cost · estimate
$442
Local Cost
$267
Local Income
$230
Cashless
10
English
5
Temperature
17.3°C
Summer Avg
19.9°C
Winter Avg
13.2°C
Record High
35.7°C
Record Low
-3.7°C
Humidity
56%
Precipitation
606 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LOM
Distance
31 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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