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February 2024 Abilene, TX Robocall Data

Calls Placed
6.8 Million
arrow_circle_down
(-7.8% MoM)
Per Day
235.2K
Per Hour
9.8K
Per Second
2.7
Avg. Calls Per Person
15.4



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Top 25 Robocallers to Abilene, TX in February 2024

Robocaller Place of Origin Caller ID Caller Type
1. 325-867-5145 Invalid Number Unknown Unknown Robocaller
2. 806-486-1600 Pampa, TX Prison Free Call Prison Prepaid Call
3. 214-238-8116 Plano, TX Prison Free Call Prison Call Consent
4. 325-548-9411 Abilene, TX Prison Free Call Prison Prepaid Call
5. 432-233-1692 Invalid Number Scam Likely Unknown Robocaller
6. 800-321-9637 Toll Free Exeter Finance Loan Payment Reminder
7. 325-575-3056 Snyder, TX Unknown Unknown Robocaller
8. 202-499-3650 Washington, DC Prison Call Consent Prison Call Consent
9. 936-681-0826 Dayton, TX Securus Technologies Prison Prepaid Call
10. 325-272-7307 Merkel, TX Health Insurance Spam Unknown Robocaller
11. 254-739-6003 Teague, TX Prison Free Call Prison Prepaid Call
12. 325-289-6194 Invalid Number Health Insurance Spam Unknown Robocaller
13. 325-794-8218 Abilene, TX Unknown Unknown Robocaller
14. 325-272-7305 Merkel, TX Health Insurance Spam Unknown Robocaller
15. 325-308-6632 Invalid Number Medicare Insurance Spam Medicare Insurance Spam
16. 325-480-2092 Abilene, TX Prison Prepaid Call Prison Prepaid Call
17. 325-800-3481 Brownwood, TX Unknown Unknown Robocaller
18. 325-221-0149 Invalid Number Medicare Insurance Spam Medicare Insurance Spam
19. 325-289-6193 Invalid Number Health Insurance Spam Unknown Robocaller
20. 469-632-6099 Terrell, TX Canaday Dylan Unknown Robocaller
21. 325-205-2408 San Saba, TX Unknown Unknown Robocaller
22. 325-603-5039 Abilene, TX Unknown Unknown Robocaller
23. 325-272-7309 Merkel, TX Health Insurance Spam Unknown Robocaller
24. 325-423-1811 Llano, TX Unknown Unknown Robocaller
25. 512-394-8038 Austin, TX Prison Call Payment Prison Prepaid Call

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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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