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January 2021 Area Code 332 Robocall Data
Calls Placed
631.9 Thousand
arrow_circle_up
(119.2% MoM)
Per Day
20.4K
Per Hour
849.3
Per Second
0.2
arrow_circle_up
(119.2% MoM)
Per Day
20.4K
Per Hour
849.3
Per Second
0.2
Top 20 Robocallers to Area Code 332 in January 2021
| Robocaller | Place of Origin | Caller ID | Caller Type | |
|---|---|---|---|---|
| 1. | 304-774-6063 | Charleston, WV | Unknown | Unknown Robocaller |
| 2. | 929-386-3562 | New York, NY | Generic Robocaller | Unknown Robocaller |
| 3. | 304-787-8287 | Charleston, WV | Unknown | Unknown Robocaller |
| 4. | 801-619-2555 | Salt Lake City, UT | Telemarketing | Telemarketing |
| 5. | 646-978-2718 | New York, NY | Unknown | Unknown Robocaller |
| 6. | 954-354-3485 | Fort Lauderdale, FL | Unknown | Unknown Robocaller |
| 7. | 614-758-2329 | Columbus, OH | Discover Card | Credit Card Debt Collector |
| 8. | 212-203-1700 | New York, NY | Babu Jonson Brother | Unknown Robocaller |
| 9. | 704-357-0022 | Charlotte, NC | Unknown | Unknown Robocaller |
| 10. | 646-960-5696 | New York, NY | Unknown | Unknown Robocaller |
| 11. | 718-504-4372 | New York, NY | Unknown | Unknown Robocaller |
| 12. | 415-662-0321 | San Francisco Bay Area, CA | Loan Approved Scam | Loan Approved Scam |
| 13. | 718-521-2487 | New York, NY | Unknown | Unknown Robocaller |
| 14. | 760-874-1186 | San Diego, CA | Vehicle Insurance Spam | Vehicle Insurance Spam |
| 15. | 800-284-3900 | Toll Free | Payment Reminder | Customer Call |
| 16. | 718-521-2865 | New York, NY | Unknown | Unknown Robocaller |
| 17. | 929-479-7914 | New York, NY | Unknown | Unknown Robocaller |
| 18. | 718-707-7771 | New York, NY | New York City Housing Authority | General Alert |
| 19. | 866-447-7801 | Toll Free | Debt Collector | Debt Collector |
| 20. | 929-435-6771 | New York, NY | Unknown | 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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