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Pujal-Coy

City in San Luis Potosí, Mexico

Overview

Pujal-Coy is a tranquil small town in San Luis Potosí, Mexico, set near lush palm groves and tranquil rivers. The town is known for its authentic local culture and scenic natural surroundings, ideal for travelers seeking off-the-beaten-path experiences.

Geographic Context

Jurisdiction
Mexico
State
San Luis Potosí
Population
—
Time Zone
America/Mexico_City
Coordinates
22.18°, -98.51°

Key Metrics

Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
45
Monthly Cost · estimate
$534
Local Cost
$353
Local Income
$170
Cashless
15
English
10
Temperature
24.6°C
Summer Avg
28.1°C
Winter Avg
19.4°C
Record High
48.8°C
Record Low
2.8°C
Humidity
71%
Precipitation
1026 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TSL
Distance
35 km

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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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