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June 2016 Austin, TX Robocall Data

Calls Placed
14.8 Million
arrow_circle_down
(-11% MoM)
Per Day
492.7K
Per Hour
20.5K
Per Second
5.7
Avg. Calls Per Person
11.4

See historical robocalls by

Top 20 Robocallers to Austin, TX in June 2016

Robocaller Place of Origin Carrier Caller ID Caller Type
1. 800-955-6600 Toll Free Bandwidth CLEC - Syniverse Capital One Bank/Credit Card Payment Reminder
2. 262-704-9780 Germantown, WI Level 3 Communications Kohls Department Store Kohls Department Store
3. 800-678-7986 Toll Free Toll Free Financial Customer Call Loan Payment Reminder
4. 800-888-2238 Toll Free Toll Free MediCredit Medical Debt Collector
5. 940-222-6963 Denton, TX Bandwidth.com CLEC, LLC (940) 222-6963 Unknown Robocaller
6. 678-594-4800 Atlanta, GA MCI Metro ATS CarMax Car Loan Debt Collector
7. 877-317-5659 Toll Free Toll Free (877) 317-5659 Bank Debt Collector
8. 800-823-2318 Toll Free Toll Free Medical Debt Collector Medical Debt Collector
9. 512-920-5721 Austin, TX FracTEL Unknown Unknown Robocaller
10. 877-947-3639 Toll Free Toll Free Payment Reminder Employee Notification
11. 512-920-5722 Austin, TX Unknown (512) 920-5722 Unknown Robocaller
12. 262-704-9930 Germantown, WI Level 3 Communications Kohls Department Store Kohls Department Store
13. 888-272-5543 Toll Free Twilio Navient Student Loans Loan Payment Reminder
14. 512-757-8111 San Marcos, TX Bandwidth.com CLEC, LLC (512) 757-8111 Telemarketing
15. 512-920-5719 Austin, TX Unknown Unknown Unknown Robocaller
16. 800-253-7050 Toll Free Toll Free (800) 253-7050 Debt Collector
17. 512-309-7378 Taylor, TX HD Carrier What This? Unknown Robocaller
18. 512-955-3271 Taylor, TX MCI Metro ATS (512) 955-3271 Unknown Robocaller
19. 614-729-9023 Columbus, OH Level 3 Communications Financial Customer Call Bank Debt Collector
20. 414-257-2339 Milwaukee, WI Level 3 Communications Kohls Department Store Kohls Department Store

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How does the YouMail Robocall Index™ Work?

The YouMail Robocall Index™ estimates monthly robocall volume in the US, as well as in various regions, and highlights the worst offenders. The index works by extrapolating the data collected from the many tens of millions of calls made each month to YouMail users.

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