Nuevo Tampaón
City in San Luis Potosí, Mexico
Overview
Nuevo Tampaón is a small town in San Luis Potosí, Mexico, set near the banks of the Tampaón River. It's a laid-back destination ideal for travelers seeking authentic local experiences, traditional Mexican cuisine, and scenic rural surroundings.
Geographic Context
Jurisdiction
Mexico
State
San Luis Potosí
Population
—
Time Zone
America/Mexico_City
Coordinates
22.06°, -98.57°
Key Metrics
Safety Score · estimate
35
Female Safety
45
LGBTQ+ Safety
40
Traffic Safety
40
Food Safety
65
Monthly Cost · estimate
$823
Local Cost
$457
Local Income
$300
Cashless
25
English
20
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
25 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 2026-03-21.
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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.