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June 2017 Nationwide Robocall Data

Calls Placed

2.5 Billion

(-3.6% MoM)

Per Day

84.3M

Per Hour

3.5M

Per Second

976.2

Avg. Calls Per Person

7.7

See historical robocalls by

Top Affected Areas Nationwide in June 2017

Volume Per Capita

	City	State	Est. Calls Received	% Change MoM
1.	Atlanta	GA	113,641,500	-2
2.	Dallas	TX	95,340,000	-3
3.	New York	NY	95,071,000	0
4.	Houston	TX	93,947,000	1
5.	Chicago	IL	89,988,500	-7
6.	Los Angeles	CA	72,544,000	-8
7.	Baltimore	MD	62,467,500	-2
8.	Newark	NJ	52,167,500	-3
9.	Philadelphia	PA	45,123,000	-2
10.	San Francisco Bay Area	CA	40,148,500	-2
11.	Detroit	MI	39,850,000	-4
12.	Phoenix	AZ	37,157,500	-7
13.	Miami	FL	34,718,000	-9
14.	Orlando	FL	29,830,500	-7
15.	Fort Lauderdale	FL	29,815,500	-6
16.	Charlotte	NC	28,442,000	-2
17.	San Diego	CA	26,830,000	-6
18.	Tampa	FL	26,812,000	-2
19.	Riverside	CA	26,262,000	-7
20.	New Orleans	LA	25,300,000	-6
21.	Birmingham	AL	22,653,500	-8
22.	Memphis	TN	22,618,500	-7
23.	Cleveland	OH	22,561,000	-4
24.	Augusta	GA	22,330,000	5
25.	Baton Rouge	LA	22,307,500	-3
26.	Columbia	SC	21,190,500	-3
27.	Boston	MA	20,300,500	1
28.	Seattle	WA	19,867,000	-5
29.	Sacramento	CA	19,792,500	-5
30.	Denver	CO	19,784,500	-4
31.	Fresno	CA	19,733,000	-1
32.	Camden	NJ	19,607,500	3
33.	Alexandria	VA	19,558,000	-2
34.	Indianapolis	IN	19,542,500	-12
35.	San Antonio	TX	19,060,000	-17
36.	Columbus	OH	18,893,500	-9
37.	Nashville	TN	18,791,000	-2
38.	Raleigh	NC	18,594,000	-3
39.	Charleston	SC	18,439,000	0
40.	Austin	TX	18,055,000	-9
41.	St. Louis	MO	18,010,000	-6
42.	Virginia Beach	VA	17,736,000	-3
43.	Buffalo	NY	17,583,000	-2
44.	Las Vegas	NV	17,499,500	-11
45.	Oklahoma City	OK	17,186,000	-5
46.	Shreveport	LA	16,716,500	-2
47.	Greensboro	NC	16,454,000	1
48.	Montgomery	AL	16,400,000	-3
49.	New Haven	CT	16,241,500	2
50.	Fayetteville	NC	16,162,500	0
51.	Jackson	MS	15,996,000	-1
52.	Washington	DC	15,901,000	-4
53.	Little Rock	AR	15,687,000	1
54.	Bakersfield	CA	15,516,500	-9
55.	Tyler	TX	15,322,500	4
56.	Jacksonville	FL	15,043,500	-5
57.	Pittsburgh	PA	14,795,000	-3
58.	Lafayette	LA	14,588,500	-1
59.	West Palm Beach	FL	14,278,500	-10
60.	Akron	OH	13,871,000	-5
61.	Tulsa	OK	13,789,000	17
62.	Huntsville	AL	13,690,500	0
63.	Hartford	CT	13,617,500	-5
64.	Long Beach	CA	13,541,500	-6
65.	Richmond	VA	13,443,500	-1
66.	Minneapolis	MN	13,278,000	-12
67.	Savannah	GA	13,042,500	2
68.	Pensacola	FL	12,679,500	-7
69.	Springfield Gardens	NY	12,449,500	-1
70.	Cincinnati	OH	12,366,000	-5
71.	Macon	GA	12,211,500	0
72.	Salt Lake City	UT	11,671,000	-12
73.	Jonesboro	AR	11,483,000	6
74.	Toledo	OH	11,359,500	-1
75.	Milwaukee	WI	10,875,500	-14
76.	Chattanooga	TN	10,596,000	-3
77.	Dayton	OH	10,199,500	2
78.	Greenville	NC	9,876,000	0
79.	Greenville	SC	9,770,500	-14
80.	Lancaster	PA	9,508,000	-4
81.	Gainesville	FL	9,139,000	-4
82.	Poughkeepsie	NY	8,937,500	-1
83.	Killeen	TX	8,931,000	0
84.	Santa Ana	CA	8,900,000	-4
85.	Albany	GA	8,813,500	5
86.	Southaven	MS	8,789,500	4
87.	Kansas City	MO	8,733,000	-5
88.	Wilmington	DE	8,398,500	-4
89.	Mobile	AL	8,333,000	0
90.	Wilkes Barre	PA	8,199,000	-11
91.	Boise	ID	8,197,500	-7
92.	Portland	OR	7,982,500	-13
93.	Syracuse	NY	7,890,500	7
94.	Deer Park	NY	7,865,500	-9
95.	Fredericksburg	VA	7,680,500	-8
96.	Louisville	KY	7,630,500	-14
97.	Belleville	IL	7,365,000	-13
98.	Evansville	IN	7,271,000	-11
99.	Fort Myers	FL	7,032,000	-7
100.	Beaumont	TX	6,822,500	4

	City	State	Per Capita	% Change MoM
1.	Baton Rouge	LA	30.8	-3
2.	Washington	DC	28.1	-4
3.	Macon	GA	20.5	0
4.	Memphis	TN	20.0	-7
5.	Little Rock	AR	18.5	1
6.	Lafayette	LA	16.5	-1
7.	Birmingham	AL	16.4	-8
8.	Savannah	GA	15.2	2
9.	Albany	GA	15.2	5
10.	Fort Lauderdale	FL	15.2	-6
11.	Montgomery	AL	15.2	-3
12.	Columbia	SC	15.0	-3
13.	Shreveport	LA	14.6	-2
14.	New Orleans	LA	14.4	-6
15.	Charlotte	NC	14.1	-2
16.	Austin	TX	14.0	-9
17.	Nashville	TN	13.8	-2
18.	San Antonio	TX	13.7	-17
19.	Charleston	SC	13.6	0
20.	Augusta	GA	13.2	5
21.	Raleigh	NC	12.8	-3
22.	Mobile	AL	12.8	0
23.	Las Vegas	NV	12.7	-11
24.	Atlanta	GA	12.7	-2
25.	Fayetteville	NC	12.3	0
26.	Killeen	TX	12.2	0
27.	Tyler	TX	11.7	4
28.	Tampa	FL	11.6	-2
29.	West Palm Beach	FL	11.5	-10
30.	Richmond	VA	11.4	-1
31.	Jackson	MS	11.4	-1
32.	Virginia Beach	VA	11.2	-3
33.	Beaumont	TX	10.9	4
34.	Jacksonville	FL	10.9	-5
35.	Orlando	FL	10.7	-7
36.	Wilmington	DE	10.7	-4
37.	Greensboro	NC	10.3	1
38.	Huntsville	AL	10.3	0
39.	Fort Myers	FL	10.1	-7
40.	Pensacola	FL	10.1	-7
41.	Tulsa	OK	10.0	17
42.	Jonesboro	AR	9.9	6
43.	New Haven	CT	9.8	2
44.	Houston	TX	9.7	1
45.	Greenville	NC	9.7	0
46.	Conroe	TX	9.6	1
47.	Springdale	AR	9.5	-7
48.	Dallas	TX	9.4	-3
49.	Miami	FL	9.4	-9
50.	Jackson	TN	9.3	-9
51.	College Station	TX	9.3	6
52.	Alexandria	VA	9.0	-2
53.	Cleveland	OH	9.0	-4
54.	Daytona Beach	FL	8.9	1
55.	Springfield Gardens	NY	8.6	-1
56.	St. Louis	MO	8.5	-6
57.	Gainesville	FL	8.4	-4
58.	Cincinnati	OH	8.3	-5
59.	Oklahoma City	OK	8.3	-5
60.	Chattanooga	TN	8.3	-3
61.	Santa Ana	CA	8.3	-4
62.	Springfield	MA	8.2	170
63.	Sarasota	FL	8.1	-2
64.	Hartford	CT	8.1	-5
65.	Gulfport	MS	8.1	1
66.	Camden	NJ	8.0	3
67.	Greenville	SC	7.9	-14
68.	Knoxville	TN	7.8	5
69.	Port St. Lucie	FL	7.7	-11
70.	Southaven	MS	7.7	4
71.	Baltimore	MD	7.5	-2
72.	Indianapolis	IN	7.5	-12
73.	Dayton	OH	7.4	2
74.	Louisville	KY	7.3	-14
75.	Detroit	MI	7.3	-4
76.	Denton	TX	7.2	-14
77.	Clarksville	TN	7.1	-5
78.	Sacramento	CA	7.1	-5
79.	Valparaiso	IN	7.1	-14
80.	Columbus	OH	7.1	-9
81.	Kansas City	MO	7.0	-5
82.	Midland	TX	6.9	3
83.	El Paso	TX	6.8	10
84.	Salt Lake City	UT	6.8	-12
85.	Colorado Springs	CO	6.8	-16
86.	Buffalo	NY	6.8	-2
87.	Akron	OH	6.8	-5
88.	Newark	NJ	6.7	-3
89.	Poughkeepsie	NY	6.7	-1
90.	Lubbock	TX	6.7	8
91.	Fresno	CA	6.6	-1
92.	Lexington	KY	6.6	-5
93.	Long Beach	CA	6.5	-6
94.	Springfield	MO	6.4	4
95.	Boise	ID	6.3	-7
96.	Chicago	IL	6.3	-7
97.	Asheville	NC	6.3	-2
98.	Kissimmee	FL	6.2	-2
99.	Corpus Christi	TX	6.2	-7
100.	Kansas City	KS	6.2	-2

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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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