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October 2019 Area Code 539 Robocall Data
Calls Placed
428.9 Thousand
arrow_circle_up
(95.9% MoM)
Per Day
13.8K
Per Hour
576.5
Per Second
0.2
arrow_circle_up
(95.9% MoM)
Per Day
13.8K
Per Hour
576.5
Per Second
0.2
Top 20 Robocallers to Area Code 539 in October 2019
| Robocaller | Place of Origin | Caller ID | Caller Type | |
|---|---|---|---|---|
| 1. | 888-598-9562 | Toll Free | Payday Loan Scam | Payday Loan Scam |
| 2. | 539-233-5731 | Tulsa, OK | Unknown | Unknown Robocaller |
| 3. | 205-224-8112 | Birmingham, AL | SPAM | Unknown Robocaller |
| 4. | 539-233-2646 | Tulsa, OK | Scam Likely | Unknown Robocaller |
| 5. | 539-245-4147 | Tulsa, OK | Scam Likely | Unknown Robocaller |
| 6. | 844-203-5616 | Toll Free | Medical Alert Spam | Medical Alert Spam |
| 7. | 539-424-3497 | Tulsa, OK | Financial Customer Call | Financial Customer Call |
| 8. | 539-286-1310 | Tulsa, OK | Scam Likely | Unknown Robocaller |
| 9. | 405-689-4384 | Oklahoma City, OK | SPAM | Unknown Robocaller |
| 10. | 918-614-8039 | Tulsa, OK | Scam Likely | Unknown Robocaller |
| 11. | 206-825-6102 | Seattle, WA | Unknown | Government Grant Scam |
| 12. | 316-974-8644 | Wichita, KS | Unknown | Unknown Robocaller |
| 13. | 539-666-3131 | Tulsa, OK | Credit One Bank | Financial Customer Call |
| 14. | 539-208-1326 | Tulsa, OK | Unknown | Unknown Robocaller |
| 15. | 316-974-8649 | Wichita, KS | Unknown | Unknown Robocaller |
| 16. | 866-410-4926 | Toll Free | Student Loan Scam | Student Loan Scam |
| 17. | 316-974-8654 | Wichita, KS | KS CHENEY | Unknown Robocaller |
| 18. | 833-335-4039 | Toll Free | Telemarketing | Telemarketing |
| 19. | 918-777-9047 | Tulsa, OK | Scam Likely | Unknown Robocaller |
| 20. | 206-209-1127 | Seattle, WA | Amazon Employment Scam | Amazon Employment Scam |
Robocalls by Category
Oklahoma Cities in Area Code 539
Tulsa
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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