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May 2016 Abilene, TX Robocall Data
Calls Placed
2.4 Million
arrow_circle_up
(28.6% MoM)
Per Day
75.8K
Per Hour
3.2K
Per Second
0.9
Avg. Calls Per Person
5.3
arrow_circle_up
(28.6% MoM)
Per Day
75.8K
Per Hour
3.2K
Per Second
0.9
Avg. Calls Per Person
5.3
Top 20 Robocallers to Abilene, TX in May 2016
| Robocaller | Place of Origin | Caller ID | Caller Type | |
|---|---|---|---|---|
| 1. | 800-838-8434 | Toll Free | (800) 838-8434 | Debt Collector |
| 2. | 877-317-5659 | Toll Free | (877) 317-5659 | Bank Debt Collector |
| 3. | 800-566-9780 | Toll Free | Weather Warning | Weather Warning |
| 4. | 800-678-7986 | Toll Free | Financial Customer Call | Loan Payment Reminder |
| 5. | 954-245-6720 | Fort Lauderdale, FL | Caridad Williams | Unknown Robocaller |
| 6. | 678-518-2904 | Atlanta, GA | Unknown | Credit Card Debt Collector |
| 7. | 806-722-0290 | Lubbock, TX | (806) 722-0290 | Unknown Robocaller |
| 8. | 888-803-3174 | Toll Free | (888) 803-3174 | Financial Customer Call |
| 9. | 615-465-3998 | Franklin, TN | Unknown | Unknown Robocaller |
| 10. | 325-603-3341 | Abilene, TX | Unknown | Unknown Robocaller |
| 11. | 913-312-5183 | Kansas City, KS | Unknown | Bank Debt Collector |
| 12. | 325-232-2571 | Abilene, TX | Cat | Unknown Robocaller |
| 13. | 614-212-5286 | Columbus, OH | Unknown | Debt Collector |
| 14. | 800-388-2200 | Toll Free | Citibank | Debt Collector |
| 15. | 888-272-5543 | Toll Free | Navient Student Loans | Loan Payment Reminder |
| 16. | 936-483-2979 | Shepherd, TX | (936) 483-2979 | Unknown Robocaller |
| 17. | 915-613-0475 | El Paso, TX | (915) 613-0475 | Unknown Robocaller |
| 18. | 407-358-6498 | Apopka, FL | (407) 358-6498 | Debt Collector |
| 19. | 469-212-1692 | Grand Prairie, TX | Unknown | Unknown Robocaller |
| 20. | 614-729-9033 | Columbus, OH | Comnity bank | Unknown Robocaller |
Robocalls by Category
YouMail's Top 100 Robocallers
See which numbers are the highest volume robocallers!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.Working on a robocall story? We can help!
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