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Orlu
City in Imo, Nigeria
Overview
Orlu, located in Imo State, Nigeria, is an energetic city known for its sprawling markets, cultural heritage, and growing business scene. With a balance of tradition and urban development, Orlu is a gateway to the rural heartland of southeastern Nigeria.
Geographic Context
Jurisdiction
Nigeria
State
Imo
Population
142,792
Time Zone
Africa/Lagos
Coordinates
5.80°, 7.04°
Key Metrics
Safety Score · estimate
35
Female Safety
30
LGBTQ+ Safety
20
Traffic Safety
25
Food Safety
45
Monthly Cost · estimate
$435
Local Cost
$255
Local Income
$90
Cashless
30
English
55
Temperature
25.6°C
Summer Avg
25.1°C
Winter Avg
25.2°C
Record High
35.4°C
Record Low
11.8°C
Humidity
85%
Precipitation
1705 mm
Internet Speed
11 Mbps
Upload
16 Mbps
Latency
42 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
QOW
Distance
45 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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