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Top 100 Most Popular U.S. Baby Names Of 1917

* If Year is set to 'All', Compare To may only be set to 2015 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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1917 Popular Names U.S. - Top 100 Baby Names
  Change from
1916
  Change from
1916
Girls Number
of Girls
% Rank Number Boys Number
of Boys
% Rank Number
1 Mary 64,281 5.720 0 2,844 1 John 51,853 5.405 0 1,807
2 Helen 34,249 3.048 0 1,588 2 William 42,421 4.422 0 2,000
3 Dorothy 28,853 2.568 0 1,438 3 James 37,339 3.892 0 1,771
4 Margaret 25,560 2.275 0 608 4 Robert 35,220 3.671 0 3,480
5 Ruth 23,567 2.097 0 378 5 Joseph 24,763 2.581 0 881
6 Mildred 16,257 1.447 0 624 6 George 24,197 2.522 1 818
7 Anna 15,160 1.349 0 -68 7 Charles 24,146 2.517 -1 534
8 Elizabeth 15,131 1.347 0 192 8 Edward 17,502 1.824 0 497
9 Frances 14,363 1.278 0 617 9 Frank 15,769 1.644 0 477
10 Virginia 14,261 1.269 0 1,774 10 Thomas 12,611 1.315 0 613
11 Evelyn 12,532 1.115 0 642 11 Walter 12,582 1.312 0 821
12 Marie 11,812 1.051 0 129 12 Harold 11,196 1.167 1 498
13 Alice 10,990 0.978 0 271 13 Paul 11,153 1.163 -1 362
14 Florence 10,538 0.938 0 126 14 Richard 10,914 1.138 1 780
15 Lillian 9,843 0.876 1 251 15 Henry 10,696 1.115 -1 41
16 Rose 9,784 0.871 -1 179 16 Raymond 9,957 1.038 0 392
17 Irene 9,165 0.816 0 132 17 Arthur 9,283 0.968 1 361
18 Catherine 8,689 0.773 2 220 18 Albert 9,157 0.955 -1 113
19 Louise 8,584 0.764 -1 -46 19 Harry 8,856 0.923 0 380
20 Edna 8,422 0.749 -1 -203 20 Donald 8,728 0.910 0 991
21 Josephine 8,326 0.741 0 199 21 Ralph 7,393 0.771 0 308
22 Martha 8,261 0.735 2 651 22 Jack 6,874 0.717 4 712
23 Gladys 8,075 0.719 -1 56 23 Louis 6,771 0.706 -1 -46
24 Ethel 7,864 0.700 1 263 24 Carl 6,699 0.698 -1 -87
25 Doris 7,819 0.696 7 658 25 Clarence 6,586 0.687 -1 282
26 Eleanor 7,669 0.682 1 263 26 Howard 6,410 0.668 -1 238
27 Ruby 7,662 0.682 -4 -23 27 Kenneth 6,142 0.640 0 130
28 Edith 7,533 0.670 0 227 28 David 6,100 0.636 0 287
29 Lucille 7,528 0.670 1 287 29 Fred 5,986 0.624 0 241
30 Grace 7,373 0.656 -4 -88 30 Francis 5,801 0.605 1 149
31 Hazel 7,285 0.648 0 71 31 Willie 5,752 0.600 -1 92
32 Thelma 7,244 0.645 -3 -46 32 Earl 5,632 0.587 0 79
33 Pauline 6,896 0.614 0 241 33 Roy 5,586 0.582 0 259
34 Betty 6,639 0.591 10 1,503 34 Stanley 5,185 0.540 0 55
35 Annie 6,404 0.570 1 299 35 Joe 5,143 0.536 0 232
36 Marjorie 6,399 0.569 1 533 36 Lawrence 5,095 0.531 2 353
37 Gertrude 6,300 0.561 -2 57 37 Ernest 5,055 0.527 -1 232
38 Esther 6,281 0.559 -4 -140 38 Anthony 5,027 0.524 -1 278
39 Beatrice 5,838 0.520 -1 252 39 Eugene 4,873 0.508 0 227
40 Jean 5,692 0.507 5 611 40 Herbert 4,744 0.495 0 280
41 Clara 5,626 0.501 -2 82 41 Leonard 4,694 0.489 1 366
42 Bernice 5,545 0.493 0 362 42 Samuel 4,490 0.468 -1 91
43 Lois 5,485 0.488 0 336 43 Alfred 4,423 0.461 0 144
44 Ann 5,455 0.485 -4 112 44 Michael 4,290 0.447 0 81
45 Marion 5,371 0.478 2 338 45 Elmer 3,812 0.397 0 -124
46 Emma 5,121 0.456 -5 -96 46 Norman 3,789 0.395 2 180
47 Julia 5,078 0.452 -1 12 47 Leo 3,779 0.394 0 159
48 Agnes 5,067 0.451 2 213 48 Andrew 3,751 0.391 -2 28
49 Katherine 4,956 0.441 2 155 49 Bernard 3,711 0.387 0 235
50 Elsie 4,938 0.439 -2 -90 50 Peter 3,464 0.361 0 94

 

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.