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July 2016 Laredo, TX Robocall Data
Calls Placed
6.0 Million
arrow_circle_up
(3.2% MoM)
Per Day
192.4K
Per Hour
8.0K
Per Second
2.2
Avg. Calls Per Person
5.0
arrow_circle_up
(3.2% MoM)
Per Day
192.4K
Per Hour
8.0K
Per Second
2.2
Avg. Calls Per Person
5.0
Top 20 Robocallers to Laredo, TX in July 2016
| Robocaller | Place of Origin | Caller ID | Caller Type | |
|---|---|---|---|---|
| 1. | 800-943-2189 | Toll Free | Prison Call Payment | Prison Call Consent |
| 2. | 956-905-9096 | Mcallen, TX | GARZA,ALEJANRO | Unknown Robocaller |
| 3. | 877-278-5297 | Toll Free | Unknown | Debt Collector |
| 4. | 866-875-6562 | Toll Free | (866) 875-6562 | Bank Debt Collector |
| 5. | 800-746-2936 | Toll Free | Ocwen | Debt Collector |
| 6. | 956-250-6233 | Edinburg, TX | Tony | Unknown Robocaller |
| 7. | 844-370-0314 | Toll Free | (844) 370-0314 | Generic Robocaller |
| 8. | 800-388-2200 | Toll Free | Citibank | Debt Collector |
| 9. | 888-338-3804 | Toll Free | Unknown | Bank Debt Collector |
| 10. | 866-875-6482 | Toll Free | (866) 875-6482 | Unknown Robocaller |
| 11. | 859-309-5128 | Lexington, KY | Citi Bank | Bank Debt Collector |
| 12. | 844-370-0310 | Toll Free | (844) 370-0310 | Generic Robocaller |
| 13. | 888-272-5543 | Toll Free | Navient Student Loans | Loan Payment Reminder |
| 14. | 956-400-8129 | Mission, TX | Unknown | Unknown Robocaller |
| 15. | 800-253-7050 | Toll Free | (800) 253-7050 | Debt Collector |
| 16. | 469-914-7211 | Dallas, TX | (469) 914-7211 | Debt Collector |
| 17. | 800-892-2253 | Toll Free | Customer Call | TV Provider Spam |
| 18. | 855-563-5635 | Toll Free | Financial Customer Call | Loan Payment Reminder |
| 19. | 956-202-0528 | Harlingen, TX | Unknown | Unknown Robocaller |
| 20. | 877-488-3558 | Toll Free | 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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