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Emerging Markets App-Based Commuter Dataset – 3M Urban Mobility Users (Egypt & Pakistan)

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3M urban mobility users from Egypt & Pakistan using paid app-based commuter transport. Includes email, phone, city & language data.

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Description

Published February, 2026


📦 Pricing Tiers

TierCoveragePrice
Sample Pack250K users$190
Country PackEgypt OR Pakistan$590
Full Dataset3M users$1,450

This dataset contains over 3 million digitally reachable users of app-based, paid shared transport services across major urban centers in Egypt and Pakistan.


The audience represents a growing segment of middle-income commuters who rely on technology-enabled mobility solutions as a daily alternative to private ride-hailing and unreliable public transport.


Unlike traditional public transit users, these individuals actively pay for structured commuting services through mobile platforms — signaling routine digital behavior, stable income participation, and recurring service adoption.


Core audience includes:

    • Corporate employees

    • University students

    • Office workers

    • Shift-based workforce

    • Safety-conscious commuters

    • Urban professionals seeking cost-efficient mobility


Geographic concentration includes major cities such as:

    • Cairo

    • Alexandria

    • Lahore

    • Karachi

    • Islamabad

    • Rawalpindi


Each record includes:

    • Email

    • Name

    • Phone

    • City

    • Country

    • Language preference

    • Payment preference


This dataset may be useful for:

    • Market entry research

    • Mobility & fintech expansion

    • Workforce-oriented services

    • Education platforms

    • Insurance & financial inclusion solutions


Database Specifications
AttributeCoverage
Total Records3,039,694
Email Validity3,039,689 verified
Phone Numbers3,039,694 with region codes
Geographic CoverageEgypt 51.58%, Pakistan 48.40%
Name Completeness99.99%
Language Preference95.3% specified

Geographic Distribution

CountryRecordsPrimary Cities
Egypt1,567,752Cairo 1,192,708, Alexandria 375,044
Pakistan1,471,209Lahore 430,012, Karachi 403,001, Islamabad 339,049, Rawalpindi 275,345
Kenya576Nairobi, Mombasa
Jordan119Amman, Zarqa, Irbid
Saudi Arabia34Riyadh, Jeddah, Dammam
UAE3Dubai, Abu Dhabi

Demographic Profile
SegmentDetails
Age Range18-44 years primary
Income LevelMiddle-class, working-class
Student Base51% female university students
Corporate UsersOffice workers, professionals, call center employees
Payment Behavior99.5% cash, 0.5% card
Language77.19% English, 18.14% Arabic

User Characteristics:
    • Daily commuters using fixed-route shuttle applications
    • Cost-conscious consumers seeking 70-80% savings versus Uber/Careem
    • Smartphone-enabled audience with stable income for daily transport
    • Safety-focused riders including women avoiding public transit harassment
    • Corporate employee transportation programs
    • University student transit users
    • 24/7 shift workers at retail, manufacturing, hybrid offices
    • Eco-conscious shared mobility adopters

Data Fields Included
FieldCompleteness
Email Address100%
Full Name100%
Phone Number100%
Phone Region Code100%
City Name100%
Country100%
Preferred Language95.3%
Default Payment Method100%
Corporate Account Flag0.27%

Email Provider Breakdown

TypeCountPercentage
Gmail, Yahoo, Free Providers2,822,52692.9%
Educational (.edu)19,8960.7%
Custom/Other Domains197,2676.5%

Top Name Frequencies (Sample): Ahmed 115,913, Mohamed 105,629, Muhammad 76,689, Mahmoud 31,953, Ali 31,149, Mostafa 20,125, Omar 19,828, Amr 18,474, Abdul 17,884, Syed 17,143, Hassan 13,573, Aya 12,253, Rana 11,797, Sara 11,082

Use Cases: Targeted marketing campaigns, market research, customer acquisition, geographic expansion planning, demographic analysis, transportation sector research, emerging markets consumer behavior studies, B2B corporate prospecting, educational institution outreach, fintech payment behavior analysis, urban mobility trend research.

File Format: CSV with UTF-8 encoding
Delivery: Immediate download

Sample data:

emailnamephonephone_region_codecity_namecountrypreferred_languagedefault_payment_option.namecorporate
[email protected]Sarah Yousri201221056002EGAlexandriaEgyptencash
[email protected]sarahzeidat201014635158EGCairoEgyptencash
[email protected]Omar Radwan201001600485EGCairoEgyptcash
[email protected]Salem Sayed201001420501EGCairoEgyptencash
[email protected]Ahmed201222179096EGCairoEgyptcash
[email protected]Rowaa Ibrahim201069660191EGCairoEgyptencash
[email protected]Farah Nammar201006875658EGCairoEgyptcash
[email protected]Tamer El Mahrouky201001830257EGCairoEgyptencard
[email protected]tamer wadie201222342339EGCairoEgyptcash
[email protected]Tamer Mahmoud El Madrileño201001412201EGCairoEgyptcash
[email protected]Amaal Emam201013076094EGCairoEgyptcash
[email protected]Moustafa Megahed201005809526EGCairoEgyptencard
[email protected]ahmed201009945017EGCairoEgyptencash
[email protected]hawath201024485957EGCairoEgyptcash
[email protected]Ramy Khorshed201003501003EGCairoEgyptencash
[email protected]mohamed tarek201152941473EGCairoEgyptcash
[email protected]magdy gamal abbas201006797338EGAlexandriaEgyptencash
[email protected]Mohamed Amr Badawi201111771773EGCairoEgyptencash
[email protected]Seif Nassrat201026929902EGCairoEgyptencash
[email protected]Seif El Shinnawy201227377377EGCairoEgyptencash
[email protected]Tamer Ragab Eloakby201001380052EGCairoEgyptcash
[email protected]Ahmed Omar201090384015EGCairoEgyptcash
[email protected]Mohamed El Dababy201090030603EGCairoEgyptencash
[email protected]Ahmed Morsi201007774771EGCairoEgyptencash
[email protected]Mohamed Yehia201097768228EGCairoEgyptencash
[email protected]Waleed Abd El Rahman201005754897EGCairoEgyptencash
[email protected]Rana Fayez201272820680EGCairoEgyptencash
[email protected][email protected]201073702436EGCairoEgyptcash
[email protected]Ahmed Abu ElHaz201026111280EGCairoEgyptencash

Additional information

Product tier

Sample Pack, Country Pack, Full Dataset

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