Names of the Week
*
*
Fact of the Week
 More

Top 1000 Most Popular U.S. Baby Names Of 1910

* 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
1910 Popular Names U.S. - Top 1000 Baby Names
  Change from
1909
  Change from
1909
Girls Number
of Girls
% Rank Number Boys Number
of Boys
% Rank Number
1 Mary 22,848 5.446 0 3,589 1 John 11,450 5.491 0 1,859
2 Helen 10,479 2.498 0 1,229 2 James 9,195 4.410 1 1,601
3 Margaret 8,226 1.961 0 867 3 William 8,844 4.241 -1 930
4 Dorothy 7,318 1.744 1 1,065 4 Robert 5,609 2.690 1 1,046
5 Ruth 7,212 1.719 -1 703 5 George 5,441 2.609 -1 753
6 Anna 6,436 1.534 0 632 6 Joseph 5,228 2.507 0 880
7 Elizabeth 5,800 1.383 0 624 7 Charles 4,785 2.295 0 756
8 Mildred 5,692 1.357 0 638 8 Frank 3,768 1.807 0 524
9 Marie 4,790 1.142 0 489 9 Edward 3,408 1.634 0 473
10 Alice 4,671 1.113 0 501 10 Henry 2,899 1.390 1 488
11 Frances 4,448 1.060 1 668 11 Willie 2,897 1.389 2 722
12 Florence 4,282 1.021 -1 493 12 Thomas 2,851 1.367 -2 383
13 Ethel 4,146 0.988 0 485 13 Walter 2,596 1.245 -1 309
14 Lillian 4,127 0.984 0 531 14 Albert 2,183 1.047 1 367
15 Gladys 3,842 0.916 0 304 15 Paul 2,005 0.962 2 329
16 Rose 3,837 0.915 1 463 16 Harry 1,978 0.949 -2 54
17 Evelyn 3,777 0.900 1 620 17 Arthur 1,942 0.931 1 277
18 Edna 3,664 0.873 -2 235 18 Harold 1,909 0.916 -2 184
19 Annie 3,519 0.839 3 615 19 Raymond 1,737 0.833 1 296
20 Louise 3,457 0.824 -1 438 20 Clarence 1,706 0.818 -1 188
21 Irene 3,281 0.782 -1 320 21 Richard 1,654 0.793 0 227
22 Catherine 3,161 0.753 1 264 22 Fred 1,587 0.761 0 232
23 Grace 3,145 0.750 -2 233 23 Jack 1,576 0.756 4 426
24 Hazel 3,032 0.723 0 324 24 Louis 1,569 0.752 0 338
25 Thelma 2,976 0.709 1 364 25 Joe 1,553 0.745 -2 261
26 Gertrude 2,932 0.699 -1 310 26 Carl 1,339 0.642 -1 124
27 Ruby 2,893 0.690 0 369 27 Howard 1,310 0.628 -1 144
28 Martha 2,858 0.681 0 348 28 Ralph 1,278 0.613 2 187
29 Virginia 2,855 0.681 1 435 29 Roy 1,267 0.608 -1 132
30 Josephine 2,801 0.668 1 385 30 David 1,258 0.603 -1 164
31 Lucille 2,692 0.642 5 500 31 Ernest 1,167 0.560 3 282
32 Clara 2,665 0.635 0 262 32 Samuel 1,129 0.541 0 146
33 Bertha 2,651 0.632 -4 207 33 Earl 1,109 0.532 -2 102
34 Emma 2,607 0.621 0 269 34 Charlie 1,107 0.531 2 274
35 Edith 2,592 0.618 -2 221 35 Lawrence 1,009 0.484 0 155
36 Beatrice 2,459 0.586 2 354 36 Francis 1,000 0.480 -3 114
37 Bessie 2,392 0.570 -2 116 37 Anthony 980 0.470 3 222
38 Esther 2,378 0.567 -1 193 38 Alfred 922 0.442 1 159
39 Pearl 2,177 0.519 1 129 39 Eugene 888 0.426 4 164
40 Sarah 2,173 0.518 9 328 40 Sam 888 0.426 4 188
41 Agnes 2,163 0.516 1 189 41 Herbert 886 0.425 -4 55
42 Pauline 2,153 0.513 6 257 42 Andrew 884 0.424 -4 118
43 Myrtle 2,145 0.511 0 195 43 Kenneth 880 0.422 -2 134
44 Elsie 2,141 0.510 -5 77 44 Donald 860 0.412 -2 135
45 Eva 2,123 0.506 2 227 45 Michael 844 0.405 2 209
46 Mabel 2,123 0.506 -5 116 46 Leonard 793 0.380 0 128
47 Ida 2,107 0.502 -3 164 47 Stanley 761 0.365 3 154
48 Viola 2,090 0.498 -2 164 48 Elmer 760 0.364 -3 73
49 Julia 2,074 0.494 -4 143 49 Lee 741 0.355 3 157
50 Minnie 1,983 0.473 0 204 50 Leroy 733 0.352 5 165

 

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.