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Top 1000 Most Popular U.S. Baby Names Of 1901

* 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
1901 Popular Names U.S. - Top 1000 Baby Names
  Change from
1900
  Change from
1900
Girls Number
of Girls
% Rank Number Boys Number
of Boys
% Rank Number
1 Mary 13,136 5.167 0 -3,570 1 John 6,900 5.969 0 -2,929
2 Helen 5,247 2.064 0 -1,096 2 William 5,990 5.182 0 -2,589
3 Anna 4,923 1.936 0 -1,191 3 James 4,735 4.096 0 -2,510
4 Margaret 4,424 1.740 0 -880 4 George 3,609 3.122 0 -1,794
5 Ruth 3,974 1.563 0 -791 5 Charles 3,049 2.638 0 -1,049
6 Elizabeth 3,216 1.265 0 -880 6 Joseph 2,766 2.393 1 -948
7 Marie 3,157 1.242 2 -699 7 Robert 2,543 2.200 -1 -1,278
8 Florence 3,131 1.232 -1 -789 8 Frank 2,402 2.078 0 -1,075
9 Ethel 3,067 1.206 -1 -829 9 Edward 1,917 1.658 0 -803
10 Lillian 2,681 1.055 0 -733 10 Henry 1,870 1.618 0 -736
11 Gladys 2,676 1.053 10 -57 11 Thomas 1,820 1.574 0 -737
12 Alice 2,562 1.008 2 -497 12 Walter 1,718 1.486 0 -580
13 Edna 2,488 0.979 -1 -614 13 Harry 1,594 1.379 0 -678
14 Mildred 2,424 0.953 6 -376 14 Arthur 1,329 1.150 1 -524
15 Grace 2,398 0.943 2 -544 15 Albert 1,317 1.139 1 -424
16 Annie 2,396 0.942 -5 -928 16 Willie 1,294 1.119 -2 -819
17 Emma 2,374 0.934 -4 -721 17 Clarence 1,196 1.035 1 -287
18 Clara 2,319 0.912 1 -507 18 Fred 1,133 0.980 -1 -513
19 Bertha 2,257 0.888 -3 -762 19 Paul 924 0.799 0 -364
20 Rose 2,212 0.870 -2 -633 20 Roy 917 0.793 1 -298
21 Bessie 2,183 0.859 -6 -861 21 Harold 915 0.792 -1 -331
22 Dorothy 2,173 0.855 5 -318 22 Raymond 888 0.768 1 -262
23 Hazel 2,097 0.825 6 -328 23 Earl 818 0.708 5 -219
24 Mabel 2,097 0.825 1 -412 24 Carl 817 0.707 5 -199
25 Frances 2,071 0.815 1 -424 25 Louis 797 0.689 1 -301
26 Minnie 2,026 0.797 -4 -647 26 Richard 784 0.678 -2 -357
27 Gertrude 1,964 0.773 -4 -616 27 Joe 756 0.654 -5 -423
28 Myrtle 1,892 0.744 4 -360 28 Ernest 691 0.598 2 -321
29 Martha 1,886 0.742 -1 -551 29 Ralph 682 0.590 2 -214
30 Irene 1,879 0.739 1 -385 30 David 672 0.581 2 -212
31 Pearl 1,866 0.734 -7 -646 31 Charlie 654 0.566 -6 -470
32 Edith 1,863 0.733 4 -205 32 Jack 645 0.558 -5 -408
33 Esther 1,844 0.725 6 -173 33 Samuel 628 0.543 0 -249
34 Ida 1,835 0.722 -4 -450 34 Howard 584 0.505 1 -195
35 Elsie 1,747 0.687 3 -298 35 Herbert 573 0.496 1 -178
36 Louise 1,640 0.645 -1 -430 36 Francis 543 0.470 5 -109
37 Eva 1,617 0.636 -4 -472 37 Lawrence 535 0.463 3 -124
38 Catherine 1,599 0.629 -4 -482 38 Elmer 520 0.450 0 -179
39 Agnes 1,525 0.600 2 -389 39 Alfred 506 0.438 3 -134
40 Sarah 1,514 0.596 -3 -541 40 Andrew 479 0.414 -3 -239
41 Nellie 1,454 0.572 2 -396 41 Sam 479 0.414 -7 -342
42 Ella 1,435 0.564 0 -476 42 Leo 456 0.394 4 -114
43 Josephine 1,434 0.564 4 -309 43 Theodore 450 0.389 18 21
44 Laura 1,402 0.551 1 -422 44 Eugene 445 0.385 1 -142
45 Lillie 1,382 0.544 -5 -622 45 Lee 424 0.367 -6 -251
46 Julia 1,362 0.536 0 -404 46 Floyd 423 0.366 2 -132
47 Viola 1,331 0.524 2 -343 47 Oscar 422 0.365 0 -141
48 Carrie 1,247 0.491 0 -464 48 Daniel 416 0.360 -4 -182
49 Ruby 1,225 0.482 2 -316 49 Jesse 411 0.356 1 -125
50 Mattie 1,224 0.481 -6 -610 50 Russell 395 0.342 12 -32

 

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.