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Ojota

City in Lagos, Nigeria

Overview

Ojota is a lively district in Lagos, Nigeria, functioning as a key commercial and transport crossroads for the city. It's characterized by its busy markets, energetic street life, and close proximity to both central and suburban Lagos areas.

Geographic Context

Jurisdiction
Nigeria
State
Lagos
Population
—
Time Zone
Africa/Lagos
Coordinates
6.59°, 3.37°

Key Metrics

Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
20
Traffic Safety
20
Food Safety
40
Monthly Cost · estimate
$518
Local Cost
$320
Local Income
$180
Cashless
55
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
Internet Speed
19 Mbps
Upload
16 Mbps
Latency
24 ms
City Vibrancy
7
Coworking
0
Cafes
1
Nightlife
2
Parks
4
Transport
5
Walk Score
5
Footways
10.0
Airport
LOS
Distance
6 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 12 tests. 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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