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Ibeju-Lekki
City in Lagos, Nigeria
Overview
Ibeju-Lekki is a rapidly growing district on Lagos's eastern corridor, renowned for its proximity to major infrastructure projects such as the Lekki Free Trade Zone. The area blends modern residential developments with traditional Nigerian neighborhoods and natural landscapes, including popular beaches.
Geographic Context
Jurisdiction
Nigeria
State
Lagos
Population
117,793
Time Zone
Africa/Lagos
Coordinates
6.46°, 3.62°
Key Metrics
Safety Score · estimate
35
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
30
Food Safety
45
Monthly Cost · estimate
$690
Local Cost
$365
Local Income
$200
Cashless
40
English
65
Temperature
26.4°C
Summer Avg
25.4°C
Winter Avg
26.6°C
Record High
31.9°C
Record Low
15.8°C
Humidity
86%
Precipitation
1713 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LOS
Distance
36 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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