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San Pedro Ozumacín
City in Oaxaca, Mexico
Overview
San Pedro Ozumacín is a remote Zapotec village set in the northern mountains of Oaxaca. Characterized by its lush landscapes, lively coffee culture, and traditional community life, the village offers an authentic experience far from tourist crowds.
Geographic Context
Jurisdiction
Mexico
State
Oaxaca
Population
—
Time Zone
America/Mexico_City
Coordinates
17.68°, -96.23°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
26
Traffic Safety
46
Food Safety
44
Monthly Cost · estimate
$507
Local Cost
$270
Local Income
$120
Cashless
6
English
8
Temperature
19.2°C
Summer Avg
20.7°C
Winter Avg
15.9°C
Record High
40.1°C
Record Low
1.8°C
Humidity
81%
Precipitation
1632 mm
Internet Speed
5 Mbps
Upload
4 Mbps
Latency
90 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
—
Distance
—
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 2026-03-21.
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: 38/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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