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Tain
City in Bono, Ghana
Overview
Tain is a lively district in Ghana's Bono Region, blending relaxed rural charm with a lively local culture. The town of Nsawkaw serves as its main urban center, surrounded by scenic landscapes and rich traditions. Visitors will find welcoming communities, busy markets, and authentic Ghanaian experiences.
Geographic Context
Jurisdiction
Ghana
Region
Bono
Population
108,532
Time Zone
Africa/Accra
Coordinates
8.18°, -2.86°
Key Metrics
Safety Score · estimate
60
Female Safety
35
LGBTQ+ Safety
15
Traffic Safety
45
Food Safety
40
Monthly Cost · estimate
$408
Local Cost
$208
Local Income
$120
Cashless
25
English
50
Temperature
26.0°C
Summer Avg
24.6°C
Winter Avg
26.9°C
Record High
40.8°C
Record Low
12.6°C
Humidity
72%
Precipitation
1277 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BDK
Distance
21 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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