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Top 1000 Most Popular U.S. Baby Names Of 1913

* 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.

 

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1913 Popular Names U.S. - Top 1000 Baby Names
  Change from
1912
  Change from
1912
Girls Number
of Girls
% Rank Number Boys Number
of Boys
% Rank Number
1 Mary 36,642 5.595 0 4,338 1 John 29,329 5.469 0 4,742
2 Helen 18,888 2.884 0 2,755 2 William 23,538 4.389 0 3,912
3 Dorothy 14,674 2.241 0 2,029 3 James 20,832 3.885 0 3,188
4 Margaret 14,486 2.212 0 1,950 4 Robert 15,684 2.925 0 2,848
5 Ruth 12,609 1.925 0 1,329 5 Joseph 14,471 2.699 0 2,409
6 Mildred 9,921 1.515 0 1,157 6 George 13,874 2.587 0 2,140
7 Anna 9,687 1.479 0 1,101 7 Charles 13,190 2.460 0 2,120
8 Elizabeth 9,505 1.451 0 977 8 Edward 9,474 1.767 0 1,538
9 Frances 7,694 1.175 0 1,014 9 Frank 9,237 1.723 0 1,325
10 Marie 7,353 1.123 0 711 10 Thomas 7,096 1.323 0 1,009
11 Alice 6,934 1.059 0 649 11 Walter 6,890 1.285 0 1,082
12 Evelyn 6,683 1.020 1 1,063 12 Henry 6,391 1.192 0 748
13 Florence 6,279 0.959 -1 540 13 Harold 6,157 1.148 0 1,055
14 Rose 6,171 0.942 1 740 14 Paul 5,966 1.113 0 1,181
15 Virginia 6,036 0.922 5 1,226 15 Harry 5,458 1.018 1 834
16 Lillian 6,015 0.918 -2 447 16 Albert 5,449 1.016 1 862
17 Louise 5,577 0.852 0 461 17 Arthur 5,422 1.011 -2 737
18 Edna 5,558 0.849 -2 422 18 Raymond 5,310 0.990 0 936
19 Gladys 5,428 0.829 0 448 19 Richard 5,107 0.952 0 919
20 Ethel 5,369 0.820 -2 296 20 Louis 4,258 0.794 0 667
21 Irene 5,335 0.815 1 689 21 Clarence 4,046 0.755 0 456
22 Catherine 5,302 0.810 -1 636 22 Ralph 3,963 0.739 1 528
23 Ruby 4,913 0.750 0 461 23 Carl 3,935 0.734 1 711
24 Josephine 4,822 0.736 4 842 24 Willie 3,760 0.701 -2 252
25 Grace 4,669 0.713 -1 251 25 Donald 3,703 0.691 2 831
26 Thelma 4,595 0.702 0 412 26 Howard 3,663 0.683 -1 451
27 Hazel 4,589 0.701 -2 392 27 Fred 3,624 0.676 -1 521
28 Martha 4,538 0.693 1 627 28 Jack 3,538 0.660 0 668
29 Edith 4,366 0.667 2 525 29 David 3,282 0.612 0 424
30 Annie 4,267 0.652 -3 184 30 Francis 3,205 0.598 5 689
31 Lucille 4,098 0.626 1 335 31 Earl 3,110 0.580 3 592
32 Esther 4,090 0.625 1 521 32 Roy 3,090 0.576 -1 499
33 Gertrude 4,015 0.613 -3 128 33 Kenneth 3,065 0.572 0 527
34 Eleanor 3,938 0.601 5 818 34 Ernest 2,940 0.548 -2 371
35 Pauline 3,636 0.555 3 473 35 Lawrence 2,853 0.532 3 386
36 Clara 3,633 0.555 -2 153 36 Samuel 2,850 0.531 -6 248
37 Beatrice 3,567 0.545 0 362 37 Joe 2,806 0.523 -1 291
38 Emma 3,474 0.530 -3 117 38 Anthony 2,781 0.519 -1 301
39 Bertha 3,345 0.511 -3 57 39 Herbert 2,723 0.508 0 487
40 Elsie 3,209 0.490 2 314 40 Michael 2,607 0.486 2 503
41 Agnes 3,206 0.490 -1 261 41 Stanley 2,595 0.484 2 578
42 Julia 3,195 0.488 2 370 42 Alfred 2,577 0.481 -2 367
43 Sarah 3,178 0.485 -2 259 43 Eugene 2,525 0.471 -2 411
44 Doris 3,049 0.466 4 392 44 Woodrow 2,333 0.435 2 490
45 Bernice 3,036 0.464 6 443 45 Elmer 2,323 0.433 2 483
46 Ann 2,998 0.458 1 332 46 Leonard 2,276 0.424 -1 348
47 Bessie 2,952 0.451 -4 120 47 Andrew 2,222 0.414 -3 276
48 Marjorie 2,922 0.446 8 454 48 Leo 2,031 0.379 1 377
49 Ida 2,916 0.445 -4 176 49 Frederick 1,997 0.372 2 433
50 Eva 2,891 0.441 -1 255 50 Russell 1,946 0.363 6 497

 

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.