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San Mateo Ayecac
City in Puebla, Mexico
Overview
San Mateo Ayecac is a tranquil, traditional town in Puebla, Mexico, surrounded by lush countryside and steeped in local culture. Life here revolves around the main plaza, colorful festivals, and welcoming neighborhoods with strong communal ties.
Geographic Context
Jurisdiction
Mexico
State
Puebla
Population
—
Time Zone
America/Mexico_City
Coordinates
19.28°, -98.39°
Key Metrics
Safety Score · estimate
47
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
35
Food Safety
40
Monthly Cost · estimate
$608
Local Cost
$383
Local Income
$220
Cashless
10
English
10
Temperature
13.8°C
Summer Avg
15.1°C
Winter Avg
11.3°C
Record High
32.1°C
Record Low
-4.9°C
Humidity
68%
Precipitation
901 mm
Internet Speed
72 Mbps
Upload
73 Mbps
Latency
8 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PBC
Distance
14 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 2025-12-09.
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 2026-03-22.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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