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Top 1000 Most Popular U.S. Baby Names Of 1935

* 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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1935 Popular Names U.S. - Top 1000 Baby Names
  Change from
1934
  Change from
1934
Girls Number
of Girls
% Rank Number Boys Number
of Boys
% Rank Number
1 Mary 55,069 5.067 0 -1,860 1 Robert 56,524 5.285 0 695
2 Shirley 42,358 3.898 2 19,518 2 James 55,000 5.143 0 751
3 Barbara 30,696 2.825 0 1,462 3 John 47,499 4.442 0 765
4 Betty 28,673 2.638 -2 -2,412 4 William 40,198 3.759 0 28
5 Patricia 22,877 2.105 1 2,032 5 Richard 33,945 3.174 0 788
6 Dorothy 19,404 1.786 -1 -1,879 6 Charles 29,983 2.804 1 191
7 Joan 18,223 1.677 0 -1,241 7 Donald 29,661 2.774 -1 -748
8 Margaret 14,725 1.355 0 -419 8 George 18,559 1.735 0 62
9 Nancy 14,544 1.338 1 1,026 9 Thomas 17,680 1.653 0 311
10 Helen 12,781 1.176 -1 -1,319 10 Joseph 17,183 1.607 0 82
11 Carol 11,731 1.079 3 1,458 11 David 15,662 1.465 1 1,663
12 Joyce 11,368 1.046 0 -90 12 Ronald 15,484 1.448 -1 1,400
13 Doris 10,606 0.976 -2 -1,019 13 Edward 13,839 1.294 0 -78
14 Marilyn 10,416 0.958 3 1,033 14 Paul 12,559 1.174 0 363
15 Ruth 9,989 0.919 -2 -579 15 Kenneth 12,064 1.128 0 264
16 Virginia 9,863 0.908 -1 -136 16 Frank 10,418 0.974 0 -218
17 Elizabeth 9,075 0.835 1 -271 17 Raymond 9,563 0.894 2 -25
18 Jean 8,851 0.814 -2 -866 18 Jack 9,436 0.882 -1 -549
19 Frances 8,769 0.807 0 -436 19 Billy 9,240 0.864 1 -319
20 Beverly 7,994 0.736 2 106 20 Harold 9,166 0.857 -2 -759
21 Lois 7,990 0.735 -1 -396 21 Gerald 8,456 0.791 1 638
22 Janet 7,855 0.723 -1 -213 22 Jerry 8,452 0.790 3 1,322
23 Donna 7,791 0.717 0 -77 23 Walter 7,814 0.731 -2 -277
24 Martha 7,620 0.701 3 17 24 Bobby 7,723 0.722 -1 194
25 Alice 7,442 0.685 0 -342 25 Joe 7,555 0.706 1 469
26 Dolores 7,374 0.679 0 -314 26 Henry 6,855 0.641 1 119
27 Phyllis 7,368 0.678 1 190 27 Eugene 6,852 0.641 -3 -290
28 Carolyn 6,968 0.641 5 499 28 Carl 6,693 0.626 0 13
29 Norma 6,868 0.632 -5 -919 29 Arthur 6,549 0.612 0 108
30 Ann 6,707 0.617 2 68 30 Willie 6,328 0.592 0 -19
31 Evelyn 6,559 0.604 -2 -422 31 Albert 6,093 0.570 1 93
32 Gloria 6,348 0.584 -2 -462 32 Ralph 6,091 0.570 -1 -189
33 Marie 6,294 0.579 1 -32 33 Larry 5,975 0.559 10 1,504
34 Anna 6,163 0.567 -3 -516 34 Fred 5,492 0.514 -1 28
35 Mildred 5,546 0.510 0 -632 35 Lawrence 5,350 0.500 -1 25
36 Peggy 5,268 0.485 0 -757 36 Roger 5,150 0.482 3 384
37 Rose 5,231 0.481 0 -350 37 Harry 5,054 0.473 -1 -43
38 Annie 4,852 0.446 0 -165 38 Norman 5,041 0.471 0 52
39 Marlene 4,828 0.444 18 1,073 39 Howard 4,969 0.465 -2 -97
40 Geraldine 4,818 0.443 3 -19 40 Roy 4,938 0.462 -5 -166
41 Ruby 4,763 0.438 -2 -216 41 Michael 4,907 0.459 6 801
42 Catherine 4,698 0.432 0 -236 42 Louis 4,617 0.432 -2 -63
43 Jane 4,645 0.427 5 288 43 Daniel 4,590 0.429 -1 91
44 Louise 4,566 0.420 -4 -407 44 Gary 4,491 0.420 16 1,136
45 Joanne 4,563 0.420 0 20 45 Marvin 4,272 0.399 -1 54
46 Marjorie 4,482 0.412 -5 -491 46 Earl 4,221 0.395 -5 -405
47 Janice 4,443 0.409 21 856 47 Jimmy 4,174 0.390 9 477
48 Eleanor 4,166 0.383 -4 -551 48 Clarence 4,079 0.381 -3 -133
49 Wanda 4,104 0.378 -2 -265 49 Wayne 4,056 0.379 -1 23
50 Sandra 4,089 0.376 43 1,539 50 Leroy 3,915 0.366 4 136

 

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.