By year

The top names of 1916

Mary led the girls and John the boys, out of 1,934,414 babies in the public record for that year.

Girls, 1916

#NameBabiesShare
1Mary61,4385.88%
2Helen32,6613.13%
3Dorothy27,4182.63%
4Margaret24,9532.39%
5Ruth23,1892.22%
6Mildred15,6331.50%
7Anna15,2281.46%
8Elizabeth14,9401.43%
9Frances13,7461.32%
10Virginia12,4871.20%
11Evelyn11,8891.14%
12Marie11,6821.12%
13Alice10,7191.03%
14Florence10,4121.00%
15Rose9,6050.92%
16Lillian9,5920.92%
17Irene9,0350.87%
18Louise8,6300.83%
19Edna8,6250.83%
20Catherine8,4690.81%
21Josephine8,1270.78%
22Gladys8,0190.77%
23Ruby7,6860.74%
24Martha7,6100.73%
25Ethel7,6010.73%
26Grace7,4610.71%
27Eleanor7,4060.71%
28Edith7,3070.70%
29Thelma7,2900.70%
30Lucille7,2410.69%
31Hazel7,2140.69%
32Doris7,1610.69%
33Pauline6,6550.64%
34Esther6,4210.61%
35Gertrude6,2430.60%
36Annie6,1050.58%
37Marjorie5,8660.56%
38Beatrice5,5860.53%
39Clara5,5440.53%
40Ann5,3430.51%
41Emma5,2170.50%
42Bernice5,1830.50%
43Lois5,1490.49%
44Betty5,1360.49%
45Jean5,0810.49%
46Julia5,0660.49%
47Marion5,0330.48%
48Elsie5,0270.48%
49Bertha4,9000.47%
50Agnes4,8520.46%

Boys, 1916

#NameBabiesShare
1John50,0435.62%
2William40,4184.54%
3James35,5694.00%
4Robert31,7413.57%
5Joseph23,8832.68%
6Charles23,6122.65%
7George23,3812.63%
8Edward17,0051.91%
9Frank15,2911.72%
10Thomas11,9981.35%
11Walter11,7601.32%
12Paul10,7901.21%
13Harold10,6981.20%
14Henry10,6561.20%
15Richard10,1341.14%
16Raymond9,5651.07%
17Albert9,0441.02%
18Arthur8,9211.00%
19Harry8,4760.95%
20Donald7,7360.87%
21Ralph7,0850.80%
22Louis6,8170.77%
23Carl6,7850.76%
24Clarence6,3040.71%
25Howard6,1710.69%
26Jack6,1610.69%
27Kenneth6,0120.68%
28David5,8120.65%
29Fred5,7450.65%
30Willie5,6600.64%
31Francis5,6520.63%
32Earl5,5530.62%
33Roy5,3270.60%
34Stanley5,1300.58%
35Joe4,9110.55%
36Ernest4,8230.54%
37Anthony4,7490.53%
38Lawrence4,7420.53%
39Eugene4,6460.52%
40Herbert4,4630.50%
41Samuel4,3990.49%
42Leonard4,3280.49%
43Alfred4,2780.48%
44Michael4,2100.47%
45Elmer3,9360.44%
46Andrew3,7230.42%
47Leo3,6210.41%
48Norman3,6090.41%
49Bernard3,4760.39%
50Peter3,3700.38%

United States national data, Social Security Administration. The file counts Social Security applications, so its early decades undercount; the share column is a name's part of the names recorded for that sex that year, not of all births. How we use it.

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