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June 2017 Charleston, WV Robocall Data
Calls Placed
5.6 Million
arrow_circle_down
(-1.6% MoM)
Per Day
187.4K
Per Hour
7.8K
Per Second
2.2
Avg. Calls Per Person
3.1
arrow_circle_down
(-1.6% MoM)
Per Day
187.4K
Per Hour
7.8K
Per Second
2.2
Avg. Calls Per Person
3.1
Top 20 Robocallers to Charleston, WV in June 2017
| Robocaller | Place of Origin | Caller ID | Caller Type | |
|---|---|---|---|---|
| 1. | 888-272-5543 | Toll Free | Navient Student Loans | Loan Payment Reminder |
| 2. | 713-568-6973 | Houston, TX | Global Tel Link | Unknown Robocaller |
| 3. | 855-593-3663 | Toll Free | Scam Fraud | Medical Debt Collector |
| 4. | 703-463-9035 | Herndon, VA | (703) 463-9035 | Unknown Robocaller |
| 5. | 304-810-2401 | Glen Dale, WV | Unknown | Unknown Robocaller |
| 6. | 888-858-5555 | Toll Free | Suspected spam | Unknown Robocaller |
| 7. | 425-412-2559 | Kirkland, WA | Unknown | Unknown Robocaller |
| 8. | 800-955-6600 | Toll Free | Capital One | Bank/Credit Card Payment Reminder |
| 9. | 844-349-6208 | Toll Free | Finger hut | Unknown Robocaller |
| 10. | 313-263-1172 | Detroit, MI | Car Payment | Financial Customer Call |
| 11. | 800-522-2455 | Toll Free | Unknown | Payment Reminder |
| 12. | 970-660-5323 | Johnstown, CO | Employee Notification | Employee Notification |
| 13. | 888-393-7168 | Toll Free | Unknown | Debt Collector |
| 14. | 304-209-3243 | Keyser, WV | Reject 1 | Unknown Robocaller |
| 15. | 888-939-3900 | Toll Free | Unknown | Unknown Robocaller |
| 16. | 208-990-0331 | Grand View, ID | CALL IDAHO | Business Loan Spam |
| 17. | 304-461-6576 | Beckley, WV | Unknown | Unknown Robocaller |
| 18. | 304-607-8237 | Brandywine, WV | Reject 2 | Unknown Robocaller |
| 19. | 304-292-3841 | Morgantown, WV | SPAM | Unknown Robocaller |
| 20. | 877-647-8552 | Toll Free | Unknown | Bank/Credit Card Payment Reminder |
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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