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Iwo
City in Osun, Nigeria
Overview
Iwo is a lively city in Osun State, Nigeria, rich in Yoruba culture and history. Known for its busy markets, hospitable locals, and proximity to natural attractions, Iwo offers an authentic glimpse of southwestern Nigeria life. The city combines a busy central district with quieter, family-friendly outskirts.
Geographic Context
Jurisdiction
Nigeria
State
Osun
Population
250,443
Time Zone
Africa/Lagos
Coordinates
7.64°, 4.18°
Key Metrics
Safety Score · estimate
45
Female Safety
38
LGBTQ+ Safety
25
Traffic Safety
37
Food Safety
42
Monthly Cost · estimate
$333
Local Cost
$124
Local Income
$110
Cashless
25
English
70
Temperature
25.0°C
Summer Avg
24.2°C
Winter Avg
24.8°C
Record High
37.9°C
Record Low
11.5°C
Humidity
86%
Precipitation
1718 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
IBA
Distance
37 km
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsData sources
Source-backed data
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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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