By year

The top names of 1932

Mary led the girls and Robert the boys, out of 2,111,305 babies in the public record for that year.

Girls, 1932

#NameBabiesShare
1Mary59,8835.61%
2Betty34,4203.23%
3Barbara26,3182.47%
4Dorothy24,9742.34%
5Joan21,0441.97%
6Patricia17,9921.69%
7Margaret16,5561.55%
8Helen16,3761.53%
9Shirley14,4761.36%
10Doris12,9101.21%
11Ruth12,2571.15%
12Joyce11,3621.06%
13Nancy10,9481.03%
14Virginia10,7551.01%
15Jean10,6701.00%
16Marilyn10,5670.99%
17Elizabeth9,9990.94%
18Dolores9,6300.90%
19Frances9,5520.90%
20Lois9,5190.89%
21Alice8,5370.80%
22Norma8,4060.79%
23Evelyn7,9580.75%
24Anna7,9240.74%
25Gloria7,8130.73%
26Mildred7,6430.72%
27Martha7,5790.71%
28Beverly7,5270.71%
29Donna7,3620.69%
30Phyllis7,3080.68%
31Marie6,9130.65%
32Carol6,5700.62%
33Rose6,4760.61%
34Ann6,1950.58%
35Janet5,7860.54%
36Louise5,6430.53%
37Marjorie5,6080.53%
38Ruby5,4690.51%
39Catherine5,4490.51%
40Peggy5,4450.51%
41Annie5,3850.50%
42Geraldine5,3320.50%
43Irene5,2000.49%
44June4,8450.45%
45Eleanor4,8360.45%
46Carolyn4,5870.43%
47Florence4,5420.43%
48Lillian4,3510.41%
49Jane4,3480.41%
50Edna4,2790.40%

Boys, 1932

#NameBabiesShare
1Robert59,2685.68%
2James51,9304.97%
3John48,6244.66%
4William42,1244.03%
5Richard31,8093.05%
6Charles31,0922.98%
7Donald29,7942.85%
8George20,4391.96%
9Joseph18,5661.78%
10Thomas16,8341.61%
11Edward15,1911.45%
12David12,1391.16%
13Paul12,0661.16%
14Kenneth11,7421.12%
15Frank11,4971.10%
16Ronald11,1431.07%
17Jack10,7161.03%
18Harold10,4331.00%
19Raymond10,3460.99%
20Billy9,4360.90%
21Walter8,6670.83%
22Eugene8,0460.77%
23Henry7,4700.72%
24Gerald7,3470.70%
25Arthur6,9160.66%
26Albert6,8630.66%
27Ralph6,7270.64%
28Carl6,7140.64%
29Joe6,6900.64%
30Bobby6,5970.63%
31Willie6,5470.63%
32Harry5,7060.55%
33Fred5,5250.53%
34Jerry5,3030.51%
35Lawrence5,2950.51%
36Howard5,2920.51%
37Norman5,2680.50%
38Roy5,2380.50%
39Louis5,1340.49%
40Clarence4,8950.47%
41Earl4,8220.46%
42Daniel4,4490.43%
43Francis4,3880.42%
44Herbert4,3680.42%
45Anthony4,2230.40%
46Marvin4,1870.40%
47Ernest4,1660.40%
48Leonard4,1010.39%
49Alfred3,8990.37%
50Roger3,7880.36%

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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