Names of the Week
*
*
Quote of the Week
""  More

Top 1000 Most Popular U.S. Baby Names Of 1902

* If Year is set to 'All', Compare To may only be set to 2018 and Order By defaults to Number High to Low.
** If Compare To year is not Year-1, Top may only be set to 100.

 

Page  of  20
1902 Popular Names U.S. - Top 1000 Baby Names
  Change from
1901
  Change from
1901
Girls Number
of Girls
% Rank Number Boys Number
of Boys
% Rank Number
1 Mary 14,486 5.167 0 1,350 1 John 7,907 5.956 0 1,007
2 Helen 5,967 2.129 0 720 2 William 6,616 4.984 0 626
3 Anna 5,288 1.886 0 365 3 James 5,592 4.212 0 857
4 Margaret 5,011 1.788 0 587 4 George 4,223 3.181 0 614
5 Ruth 4,384 1.564 0 410 5 Charles 3,361 2.532 0 312
6 Elizabeth 3,694 1.318 0 478 6 Robert 3,180 2.396 1 637
7 Florence 3,509 1.252 1 378 7 Joseph 3,098 2.334 -1 332
8 Marie 3,424 1.221 -1 267 8 Frank 2,756 2.076 0 354
9 Ethel 3,295 1.175 0 228 9 Edward 2,294 1.728 0 377
10 Alice 3,135 1.118 2 573 10 Henry 2,154 1.623 0 284
11 Lillian 3,063 1.093 -1 382 11 Thomas 2,134 1.608 0 314
12 Gladys 2,809 1.002 -1 133 12 Walter 1,858 1.400 0 140
13 Edna 2,754 0.982 0 266 13 Harry 1,750 1.318 0 156
14 Mildred 2,750 0.981 0 326 14 Willie 1,565 1.179 2 271
15 Dorothy 2,707 0.966 7 534 15 Arthur 1,486 1.119 -1 157
16 Annie 2,664 0.950 0 268 16 Albert 1,375 1.036 -1 58
17 Grace 2,642 0.942 -2 244 17 Clarence 1,292 0.973 0 96
18 Emma 2,514 0.897 -1 140 18 Fred 1,286 0.969 0 153
19 Bessie 2,448 0.873 2 265 19 Harold 1,077 0.811 2 162
20 Rose 2,444 0.872 0 232 20 Paul 1,067 0.804 -1 143
21 Clara 2,432 0.868 -3 113 21 Raymond 1,065 0.802 1 177
22 Bertha 2,372 0.846 -3 115 22 Roy 1,002 0.755 -2 85
23 Frances 2,326 0.830 2 255 23 Joe 955 0.719 4 199
24 Mabel 2,280 0.813 0 183 24 Carl 952 0.717 0 135
25 Hazel 2,238 0.798 -2 141 25 Louis 912 0.687 0 115
26 Irene 2,210 0.788 4 331 26 Richard 908 0.684 0 124
27 Gertrude 2,207 0.787 0 243 27 Earl 877 0.661 -4 59
28 Pearl 2,100 0.749 3 234 28 Ralph 866 0.652 1 184
29 Minnie 2,055 0.733 -3 29 29 Ernest 790 0.595 -1 99
30 Martha 2,030 0.724 -1 144 30 Charlie 761 0.573 1 107
31 Catherine 1,896 0.676 7 297 31 David 761 0.573 -1 89
32 Myrtle 1,884 0.672 -4 -8 32 Jack 743 0.560 0 98
33 Edith 1,853 0.661 -1 -10 33 Samuel 702 0.529 0 74
34 Ida 1,836 0.655 0 1 34 Theodore 642 0.484 9 192
35 Esther 1,833 0.654 -2 -11 35 Howard 632 0.476 -1 48
36 Louise 1,832 0.654 0 192 36 Herbert 615 0.463 -1 42
37 Eva 1,727 0.616 0 110 37 Lawrence 598 0.450 0 63
38 Elsie 1,720 0.614 -3 -27 38 Francis 597 0.450 -2 54
39 Sarah 1,710 0.610 1 196 39 Alfred 590 0.444 0 84
40 Agnes 1,676 0.598 -1 151 40 Elmer 574 0.432 -2 54
41 Josephine 1,566 0.559 2 132 41 Sam 559 0.421 0 80
42 Nellie 1,566 0.559 -1 112 42 Andrew 558 0.420 -2 79
43 Laura 1,559 0.556 1 157 43 Leo 551 0.415 -1 95
44 Lillie 1,533 0.547 1 151 44 Eugene 524 0.395 0 79
45 Ella 1,525 0.544 -3 90 45 Daniel 501 0.377 3 85
46 Julia 1,501 0.535 0 139 46 Lee 475 0.358 -1 51
47 Ruby 1,458 0.520 2 233 47 Floyd 471 0.355 -1 48
48 Viola 1,447 0.516 -1 116 48 Michael 460 0.347 4 76
49 Beatrice 1,429 0.510 4 246 49 Herman 457 0.344 2 64
50 Carrie 1,376 0.491 -2 129 50 Jesse 437 0.329 -1 26

 

United States name popularity data is provided by the Social Security Administration and is based on Social Security card applications.

Data for a given year is not made available until well into the next year.

Data reflects what was recorded and has not been edited for errors, so for example the gender associated with a name may be incorrect.

The more babies that are given a particular name, the higher the popularity ranking. If multiple names have the same usage, the tie is broken by assigning popularity rank in alphabetical order. Therefore in the case of names with fewer occurrences, names with the same number of occurrences may have vastly different rankings because they will be interranked alphabetically.

To safeguard privacy, the SSA does not include names with less than 5 occurrences.

Please note, we update the data each May when the SSA releases new figures. All data changes at that time, including previous years, which will change minutely based on new information.