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Santo Tomé
City in Santa Fe, Argentina
Overview
Santo Tomé is a small but lively city located just west of Santa Fe city, offering a blend of urban amenities and tranquil, suburban life. It's known for its welcoming community, riverside leisure, and authentic Argentine atmosphere.
Geographic Context
Jurisdiction
Argentina
Province
Santa Fe
Population
22,634
Time Zone
America/Argentina/Buenos_Aires
Coordinates
-31.66°, -60.77°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
50
Traffic Safety
60
Food Safety
75
Monthly Cost · estimate
$763
Local Cost
$497
Local Income
$300
Cashless
45
English
30
Temperature
19.2°C
Summer Avg
26.0°C
Winter Avg
12.2°C
Record High
44.0°C
Record Low
-3.5°C
Humidity
70%
Precipitation
1152 mm
Internet Speed
113 Mbps
Upload
32 Mbps
Latency
6 ms
City Vibrancy
14
Coworking
0
Cafes
0
Nightlife
0
Parks
14
Transport
0
Walk Score
0
Footways
—
Airport
SFN
Distance
7 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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