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Top 1000 Most Popular U.S. Baby Names Of 1916

* If Year is set to 'All', Compare To may only be set to 2017 and Order By defaults to Number High to Low.
** If Compare To year is not Year-1, Top may only be set to 100.

 

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1916 Popular Names U.S. - Top 1000 Baby Names
  Change from
1915
  Change from
1915
Girls Number
of Girls
% Rank Number Boys Number
of Boys
% Rank Number
1 Mary 61,438 5.659 0 3,251 1 John 50,045 5.420 0 2,468
2 Helen 32,662 3.008 0 1,796 2 William 40,419 4.378 0 1,855
3 Dorothy 27,417 2.525 0 2,263 3 James 35,569 3.853 0 1,793
4 Margaret 24,952 2.298 0 1,898 4 Robert 31,741 3.438 0 3,003
5 Ruth 23,190 2.136 0 1,312 5 Joseph 23,883 2.587 0 831
6 Mildred 15,633 1.440 0 379 6 Charles 23,612 2.557 1 1,653
7 Anna 15,228 1.403 0 109 7 George 23,379 2.532 -1 1,071
8 Elizabeth 14,939 1.376 0 836 8 Edward 17,005 1.842 0 1,116
9 Frances 13,746 1.266 0 959 9 Frank 15,292 1.656 0 286
10 Virginia 12,487 1.150 2 1,535 10 Thomas 11,998 1.300 0 508
11 Evelyn 11,889 1.095 -1 294 11 Walter 11,760 1.274 0 504
12 Marie 11,683 1.076 -1 321 12 Paul 10,790 1.169 1 462
13 Alice 10,719 0.987 0 194 13 Harold 10,698 1.159 -1 254
14 Florence 10,412 0.959 0 307 14 Henry 10,655 1.154 0 516
15 Rose 9,605 0.885 1 230 15 Richard 10,134 1.098 0 991
16 Lillian 9,592 0.883 -1 46 16 Raymond 9,566 1.036 0 585
17 Irene 9,034 0.832 0 711 17 Albert 9,044 0.980 0 219
18 Louise 8,630 0.795 0 317 18 Arthur 8,921 0.966 0 357
19 Edna 8,625 0.794 1 482 19 Harry 8,476 0.918 0 6
20 Catherine 8,469 0.780 -1 288 20 Donald 7,737 0.838 0 621
21 Josephine 8,127 0.749 1 521 21 Ralph 7,085 0.767 0 269
22 Gladys 8,019 0.739 -1 162 22 Louis 6,817 0.738 1 299
23 Ruby 7,685 0.708 1 448 23 Carl 6,786 0.735 -1 173
24 Martha 7,610 0.701 1 393 24 Clarence 6,304 0.683 0 37
25 Ethel 7,601 0.700 -2 222 25 Howard 6,172 0.669 0 69
26 Grace 7,461 0.687 1 417 26 Jack 6,162 0.667 1 414
27 Eleanor 7,406 0.682 1 370 27 Kenneth 6,012 0.651 1 331
28 Edith 7,306 0.673 3 545 28 David 5,813 0.630 3 419
29 Thelma 7,290 0.671 1 528 29 Fred 5,745 0.622 -3 -33
30 Lucille 7,241 0.667 -1 235 30 Willie 5,660 0.613 0 226
31 Hazel 7,214 0.664 -5 122 31 Francis 5,652 0.612 -2 58
32 Doris 7,161 0.660 2 869 32 Earl 5,553 0.601 1 645
33 Pauline 6,655 0.613 -1 321 33 Roy 5,327 0.577 -1 275
34 Esther 6,421 0.591 -1 100 34 Stanley 5,130 0.556 0 322
35 Gertrude 6,243 0.575 0 166 35 Joe 4,911 0.532 3 263
36 Annie 6,105 0.562 0 169 36 Ernest 4,823 0.522 -1 36
37 Marjorie 5,866 0.540 2 747 37 Anthony 4,749 0.514 -1 27
38 Beatrice 5,586 0.515 -1 244 38 Lawrence 4,742 0.514 -1 54
39 Clara 5,544 0.511 -1 259 39 Eugene 4,646 0.503 2 325
40 Ann 5,343 0.492 3 447 40 Herbert 4,463 0.483 0 122
41 Emma 5,217 0.481 -1 173 41 Samuel 4,399 0.476 -2 48
42 Bernice 5,183 0.477 0 246 42 Leonard 4,328 0.469 2 335
43 Lois 5,149 0.474 4 374 43 Alfred 4,278 0.463 -1 46
44 Betty 5,136 0.473 9 955 44 Michael 4,210 0.456 -1 129
45 Jean 5,081 0.468 3 478 45 Elmer 3,936 0.426 0 134
46 Julia 5,066 0.467 -2 235 46 Andrew 3,723 0.403 0 150
47 Marion 5,033 0.464 3 577 47 Leo 3,621 0.392 0 94
48 Elsie 5,027 0.463 -7 60 48 Norman 3,609 0.391 2 347
49 Bertha 4,900 0.451 -3 115 49 Bernard 3,476 0.376 -1 174
50 Agnes 4,853 0.447 -5 58 50 Peter 3,370 0.365 -1 68

 

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.