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December 2018 Nationwide Robocall Data

Calls Placed

4.7 Billion

(-8% MoM)

Per Day

150.9M

Per Hour

6.3M

Per Second

1.7K

Avg. Calls Per Person

14.3

See historical robocalls by

Top Affected Areas Nationwide in December 2018

Volume Per Capita

	City	State	Est. Calls Received	% Change MoM
1.	Atlanta	GA	198,444,900	-7
2.	Dallas	TX	184,479,500	-8
3.	New York	NY	159,019,300	-11
4.	Los Angeles	CA	151,708,700	-6
5.	Chicago	IL	145,734,400	-11
6.	Houston	TX	143,105,600	-10
7.	Baltimore	MD	102,667,100	-9
8.	Phoenix	AZ	90,389,900	-8
9.	Newark	NJ	88,746,200	-8
10.	San Francisco Bay Area	CA	87,941,300	-4
11.	Philadelphia	PA	81,295,100	-7
12.	Detroit	MI	71,678,500	-9
13.	Miami	FL	64,295,600	-11
14.	Fort Lauderdale	FL	57,345,300	-12
15.	Orlando	FL	56,445,000	-13
16.	San Diego	CA	55,028,400	-9
17.	Buffalo	NY	48,737,400	-9
18.	Riverside	CA	48,324,500	-9
19.	Charlotte	NC	47,152,200	-9
20.	Seattle	WA	45,650,800	-5
21.	Tampa	FL	45,643,100	-13
22.	New Orleans	LA	44,226,500	-5
23.	Boston	MA	43,284,100	-11
24.	Cleveland	OH	43,013,500	-13
25.	Memphis	TN	42,031,000	-9
26.	Denver	CO	41,946,300	-10
27.	Birmingham	AL	40,469,200	-10
28.	Augusta	GA	38,627,500	-4
29.	Las Vegas	NV	38,503,100	-11
30.	Sacramento	CA	37,641,600	-3
31.	Columbus	OH	37,566,200	-7
32.	Columbia	SC	37,497,400	-7
33.	San Antonio	TX	36,756,400	-8
34.	Alexandria	VA	35,734,700	-7
35.	Baton Rouge	LA	35,562,400	-8
36.	Austin	TX	35,418,100	-8
37.	Fresno	CA	34,969,500	-6
38.	Bakersfield	CA	34,732,800	-4
39.	Indianapolis	IN	34,708,600	-6
40.	Virginia Beach	VA	34,642,300	-9
41.	St. Louis	MO	34,375,600	-11
42.	Camden	NJ	32,929,400	-5
43.	Nashville	TN	32,829,800	-9
44.	Charleston	SC	32,399,900	-11
45.	Raleigh	NC	31,190,400	-9
46.	Pittsburgh	PA	31,063,100	-7
47.	Shreveport	LA	30,718,000	-1
48.	Oklahoma City	OK	30,034,600	-10
49.	Minneapolis	MN	29,636,700	-9
50.	Jackson	MS	29,575,300	-7
51.	Long Beach	CA	28,826,600	-7
52.	New Haven	CT	28,815,900	-6
53.	West Palm Beach	FL	28,459,200	-10
54.	Jacksonville	FL	27,503,800	-11
55.	Akron	OH	27,406,500	-5
56.	Salt Lake City	UT	27,013,500	-10
57.	Huntsville	AL	26,486,400	-2
58.	Washington	DC	26,319,900	-10
59.	Richmond	VA	26,124,900	-1
60.	Tyler	TX	25,687,300	-6
61.	Lafayette	LA	25,683,500	-1
62.	Fayetteville	NC	25,662,200	2
63.	Greensboro	NC	25,501,000	-5
64.	Montgomery	AL	25,429,800	-7
65.	Little Rock	AR	24,970,500	-8
66.	Hartford	CT	24,440,600	-8
67.	Cincinnati	OH	23,010,800	-8
68.	Toledo	OH	22,609,600	-9
69.	Savannah	GA	22,491,500	-4
70.	Greenville	SC	20,766,000	-7
71.	Chattanooga	TN	20,699,200	-3
72.	Springfield Gardens	NY	20,478,000	-9
73.	Portland	OR	20,401,600	-11
74.	Macon	GA	20,119,400	-6
75.	Pensacola	FL	19,957,700	-12
76.	Tulsa	OK	19,931,200	-12
77.	Lancaster	PA	18,935,000	-5
78.	Milwaukee	WI	18,159,700	-12
79.	Gainesville	FL	17,984,000	-5
80.	Louisville	KY	17,912,400	-5
81.	Santa Ana	CA	17,814,600	-9
82.	Killeen	TX	17,712,900	-4
83.	Dayton	OH	16,933,700	-6
84.	Albany	GA	16,719,800	-4
85.	Kansas City	MO	16,605,100	-4
86.	Boise	ID	16,543,600	-11
87.	Poughkeepsie	NY	16,298,700	-7
88.	Jonesboro	AR	16,287,600	-11
89.	Mobile	AL	16,266,300	-4
90.	Greenville	NC	15,837,900	1
91.	Fredericksburg	VA	15,318,600	-4
92.	Evansville	IN	14,844,300	-11
93.	Wilkes Barre	PA	14,752,300	-9
94.	Southaven	MS	14,373,800	-6
95.	Omaha	NE	14,113,500	-10
96.	Deer Park	NY	13,814,800	-9
97.	Erie	PA	13,810,500	-6
98.	Wilmington	DE	13,628,500	-17
99.	Knoxville	TN	13,354,000	-13
100.	Syracuse	NY	12,987,200	-13

	City	State	Per Capita	% Change MoM
1.	Baton Rouge	LA	49.1	-8
2.	Washington	DC	46.4	-10
3.	Memphis	TN	37.1	-9
4.	Macon	GA	33.7	-6
5.	Little Rock	AR	29.5	-8
6.	Birmingham	AL	29.2	-10
7.	Fort Lauderdale	FL	29.2	-12
8.	Lafayette	LA	29.0	-1
9.	Albany	GA	28.9	-4
10.	Las Vegas	NV	28.0	-11
11.	Austin	TX	27.4	-8
12.	Shreveport	LA	26.9	-1
13.	Columbia	SC	26.5	-7
14.	San Antonio	TX	26.4	-8
15.	Savannah	GA	26.3	-4
16.	New Orleans	LA	25.1	-5
17.	Mobile	AL	25.0	-4
18.	Killeen	TX	24.1	-4
19.	Nashville	TN	24.1	-9
20.	Charleston	SC	23.9	-11
21.	Montgomery	AL	23.5	-7
22.	Charlotte	NC	23.3	-9
23.	West Palm Beach	FL	22.9	-10
24.	Augusta	GA	22.9	-4
25.	Richmond	VA	22.2	-1
26.	Atlanta	GA	22.2	-7
27.	Virginia Beach	VA	21.8	-9
28.	Raleigh	NC	21.5	-9
29.	Jackson	MS	21.1	-7
30.	Orlando	FL	20.3	-13
31.	Huntsville	AL	19.9	-2
32.	Jacksonville	FL	19.9	-11
33.	Tampa	FL	19.8	-13
34.	Tyler	TX	19.6	-6
35.	Fayetteville	NC	19.6	2
36.	Buffalo	NY	18.8	-9
37.	Beaumont	TX	18.7	-8
38.	Dallas	TX	18.2	-8
39.	Jackson	TN	18.1	-2
40.	Fort Myers	FL	17.6	-15
41.	Wilmington	DE	17.4	-17
42.	Miami	FL	17.3	-11
43.	New Haven	CT	17.3	-6
44.	Louisville	KY	17.2	-5
45.	Cleveland	OH	17.1	-13
46.	Greenville	SC	16.7	-7
47.	Santa Ana	CA	16.6	-9
48.	Alexandria	VA	16.5	-7
49.	Gainesville	FL	16.4	-5
50.	Springdale	AR	16.3	-2
51.	Chattanooga	TN	16.2	-3
52.	St. Louis	MO	16.2	-11
53.	Greensboro	NC	16.0	-5
54.	Pensacola	FL	15.9	-12
55.	Salt Lake City	UT	15.8	-10
56.	Sarasota	FL	15.7	-8
57.	Conroe	TX	15.7	-2
58.	Port St. Lucie	FL	15.6	-9
59.	Cincinnati	OH	15.5	-8
60.	Greenville	NC	15.5	1
61.	College Station	TX	15.5	-7
62.	Daytona Beach	FL	15.4	-7
63.	Knoxville	TN	15.3	-13
64.	Denton	TX	14.8	-5
65.	Houston	TX	14.7	-10
66.	Hartford	CT	14.5	-8
67.	Oklahoma City	OK	14.5	-10
68.	Tulsa	OK	14.4	-12
69.	Springfield Gardens	NY	14.1	-9
70.	Columbus	OH	14.1	-7
71.	Jonesboro	AR	14.0	-11
72.	Clarksville	TN	14.0	-8
73.	Long Beach	CA	13.9	-7
74.	Gulfport	MS	13.8	-4
75.	Wichita	KS	13.8	10
76.	Colorado Springs	CO	13.6	-7
77.	Sacramento	CA	13.5	-3
78.	Camden	NJ	13.5	-5
79.	Casper	WY	13.4	-1
80.	Akron	OH	13.4	-5
81.	Indianapolis	IN	13.3	-6
82.	Kansas City	MO	13.3	-4
83.	Lexington	KY	13.2	-10
84.	Lubbock	TX	13.2	0
85.	Midland	TX	13.1	1
86.	Detroit	MI	13.1	-9
87.	Springfield	MO	13.0	-7
88.	El Paso	TX	12.9	-5
89.	Phoenix	AZ	12.9	-8
90.	Boise	ID	12.8	-11
91.	Southaven	MS	12.6	-6
92.	Baltimore	MD	12.4	-9
93.	Kansas City	KS	12.3	-7
94.	Poughkeepsie	NY	12.2	-7
95.	Dayton	OH	12.2	-6
96.	Asheville	NC	12.1	-7
97.	Abilene	TX	12.0	5
98.	Bakersfield	CA	11.9	-4
99.	Fresno	CA	11.7	-6
100.	Corpus Christi	TX	11.7	-6

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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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