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Amuwo-Odofin

City in Lagos, Nigeria

Overview

Amuwo-Odofin is a dynamic suburban district in Lagos, Nigeria, blending residential communities, industrial zones, and commercial hubs. It is known for its diverse population, busy markets, and affordable living, making it attractive to families and young professionals.

Geographic Context

Jurisdiction
Nigeria
State
Lagos
Population
318,576
Time Zone
Africa/Lagos
Coordinates
6.45°, 3.20°

Key Metrics

Safety Score · estimate
35
Female Safety
38
LGBTQ+ Safety
30
Traffic Safety
33
Food Safety
50
Monthly Cost · estimate
$725
Local Cost
$330
Local Income
$290
Cashless
45
English
65
Temperature
26.4°C
Summer Avg
25.3°C
Winter Avg
26.7°C
Record High
32.4°C
Record Low
15.2°C
Humidity
86%
Precipitation
1546 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LOS
Distance
20 km

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Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Data 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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