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San Pedro Totolápam

City in Oaxaca, Mexico

Overview

San Pedro Totolápam is an idyllic town set in Oaxaca's Central Valleys, combining rural tranquility with lively local culture. With its small community spirit and scenic surroundings, it's a friendly escape for travelers seeking authenticity. The town is known for traditional festivities and the beautiful Sierra foothills nearby.

Geographic Context

Jurisdiction
Mexico
State
Oaxaca
Population
2,626
Time Zone
America/Mexico_City
Coordinates
16.67°, -96.31°

Key Metrics

Safety Score · estimate
52
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
50
Monthly Cost · estimate
$427
Local Cost
$286
Local Income
$180
Cashless
10
English
10
Temperature
19.4°C
Summer Avg
19.9°C
Winter Avg
17.5°C
Record High
37.0°C
Record Low
2.8°C
Humidity
72%
Precipitation
903 mm
Internet Speed
65 Mbps
Upload
23 Mbps
Latency
54 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 6 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.

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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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