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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 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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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 55,065 5.067 0 -1,859 1 Robert 56,524 5.286 0 696
2 Shirley 42,355 3.898 2 19,514 2 James 55,000 5.143 0 757
3 Barbara 30,693 2.824 0 1,460 3 John 47,497 4.442 0 760
4 Betty 28,671 2.638 -2 -2,412 4 William 40,195 3.759 0 27
5 Patricia 22,876 2.105 1 2,031 5 Richard 33,938 3.174 0 782
6 Dorothy 19,403 1.785 -1 -1,880 6 Charles 29,979 2.803 1 188
7 Joan 18,224 1.677 0 -1,239 7 Donald 29,658 2.773 -1 -749
8 Margaret 14,724 1.355 0 -422 8 George 18,559 1.735 0 62
9 Nancy 14,544 1.338 1 1,027 9 Thomas 17,682 1.653 0 315
10 Helen 12,781 1.176 -1 -1,319 10 Joseph 17,182 1.607 0 79
11 Carol 11,731 1.080 3 1,458 11 David 15,662 1.465 1 1,663
12 Joyce 11,367 1.046 0 -93 12 Ronald 15,483 1.448 -1 1,399
13 Doris 10,607 0.976 -2 -1,016 13 Edward 13,837 1.294 0 -81
14 Marilyn 10,415 0.958 3 1,033 14 Paul 12,558 1.174 0 361
15 Ruth 9,989 0.919 -2 -578 15 Kenneth 12,063 1.128 0 262
16 Virginia 9,862 0.908 -1 -137 16 Frank 10,419 0.974 0 -216
17 Elizabeth 9,075 0.835 1 -269 17 Raymond 9,562 0.894 2 -26
18 Jean 8,851 0.814 -2 -865 18 Jack 9,436 0.882 -1 -549
19 Frances 8,769 0.807 0 -436 19 Billy 9,240 0.864 1 -315
20 Beverly 7,994 0.736 2 107 20 Harold 9,165 0.857 -2 -760
21 Lois 7,990 0.735 -1 -396 21 Gerald 8,454 0.791 1 637
22 Janet 7,855 0.723 -1 -213 22 Jerry 8,450 0.790 3 1,320
23 Donna 7,791 0.717 0 -77 23 Walter 7,814 0.731 -2 -275
24 Martha 7,620 0.701 3 17 24 Bobby 7,724 0.722 -1 196
25 Alice 7,442 0.685 0 -342 25 Joe 7,556 0.707 1 472
26 Dolores 7,373 0.678 0 -315 26 Henry 6,854 0.641 1 119
27 Phyllis 7,368 0.678 1 190 27 Eugene 6,850 0.641 -3 -292
28 Carolyn 6,968 0.641 5 498 28 Carl 6,693 0.626 0 13
29 Norma 6,868 0.632 -5 -918 29 Arthur 6,549 0.612 0 107
30 Ann 6,707 0.617 2 68 30 Willie 6,328 0.592 0 -19
31 Evelyn 6,559 0.604 -2 -419 31 Albert 6,092 0.570 1 91
32 Gloria 6,348 0.584 -2 -461 32 Ralph 6,090 0.569 -1 -191
33 Marie 6,294 0.579 1 -32 33 Larry 5,977 0.559 10 1,507
34 Anna 6,162 0.567 -3 -517 34 Fred 5,491 0.513 -1 28
35 Mildred 5,545 0.510 0 -633 35 Lawrence 5,349 0.500 -1 24
36 Peggy 5,268 0.485 0 -758 36 Roger 5,150 0.482 3 384
37 Rose 5,232 0.481 0 -347 37 Harry 5,054 0.473 -1 -41
38 Annie 4,853 0.447 0 -164 38 Norman 5,041 0.471 0 52
39 Marlene 4,828 0.444 18 1,073 39 Howard 4,967 0.464 -2 -98
40 Geraldine 4,818 0.443 3 -19 40 Roy 4,939 0.462 -5 -165
41 Ruby 4,763 0.438 -2 -216 41 Michael 4,908 0.459 6 803
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 4,568 0.420 -4 -405 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 4,219 0.395 -5 -408
47 Janice 4,445 0.409 21 858 47 Jimmy 4,173 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 4 137

 

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.