San Sebastián Alcomunga
City in Puebla, Mexico
Overview
San Sebastián Alcomunga is a small rural town set in the Sierra Negra region of Puebla, Mexico. Known for its agricultural heritage and warm community, the town offers a genuine Mexican countryside experience with picturesque scenery and local traditions.
Geographic Context
Jurisdiction
Mexico
State
Puebla
Population
—
Time Zone
America/Mexico_City
Coordinates
18.44°, -97.03°
Key Metrics
Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
55
Monthly Cost · estimate
$492
Local Cost
$284
Local Income
$210
Cashless
15
English
10
Temperature
19.3°C
Summer Avg
21.2°C
Winter Avg
15.8°C
Record High
39.9°C
Record Low
1.9°C
Humidity
80%
Precipitation
1477 mm
Internet Speed
29 Mbps
Upload
7 Mbps
Latency
81 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TCN
Distance
42 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: 32/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.