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São Tomé

City in Água Grande, São Tomé and Príncipe

Overview

São Tomé, the capital of São Tomé and Príncipe, offers a unique blend of Portuguese colonial architecture, relaxed tropical ambiance, and a lively port. The city is renowned for its colorful markets, rich island culture, and surrounding beaches.

Geographic Context

Jurisdiction
São Tomé and Príncipe
District
Água Grande
Population
71,868
Time Zone
Africa/Sao_Tome
Coordinates
0.34°, 6.73°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$1,035
Local Cost
$540
Local Income
$240
Cashless
30
English
35
Temperature
26.4°C
Summer Avg
25.0°C
Winter Avg
27.1°C
Record High
29.7°C
Record Low
21.9°C
Humidity
83%
Precipitation
1251 mm
Internet Speed
9 Mbps
Upload
4 Mbps
Latency
8 ms
City Vibrancy
23
Coworking
0
Cafes
4
Nightlife
9
Parks
10
Transport
0
Walk Score
0
Footways
—
Airport
TMS
Distance
5 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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