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Teshi Old Town
City in Greater Accra, Ghana
Overview
Teshi Old Town is a coastal community in Greater Accra, Ghana, boasting a rich heritage, lively local traditions, and scenic sea views. Its narrow lanes are alive with fishermen at work, busy markets, and warm, welcoming residents.
Geographic Context
Jurisdiction
Ghana
Region
Greater Accra
Population
—
Time Zone
Africa/Accra
Coordinates
5.58°, -0.11°
Key Metrics
Safety Score · estimate
50
Female Safety
40
LGBTQ+ Safety
20
Traffic Safety
35
Food Safety
50
Monthly Cost · estimate
$615
Local Cost
$323
Local Income
$250
Cashless
35
English
75
Temperature
26.5°C
Summer Avg
24.9°C
Winter Avg
27.5°C
Record High
33.6°C
Record Low
20.7°C
Humidity
85%
Precipitation
1167 mm
Internet Speed
6 Mbps
Upload
11 Mbps
Latency
21 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ACC
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 2025-12-09.
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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