Names of the Week
*
*
Quote of the Week
""  More

Top 1000 Most Popular U.S. Baby Names Of 1893

* 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.

 

Page  of  20
1893 Popular Names U.S. - Top 1000 Baby Names
  Change from
1892
  Change from
1892
Girls Number
of Girls
% Rank Number Boys Number
of Boys
% Rank Number
1 Mary 12,784 5.676 0 -388 1 John 8,049 6.650 0 -990
2 Anna 5,695 2.529 0 153 2 William 7,223 5.967 0 -559
3 Ruth 3,658 1.624 2 368 3 James 5,030 4.156 0 -368
4 Margaret 3,565 1.583 0 130 4 George 4,320 3.569 0 -440
5 Elizabeth 3,360 1.492 -2 -101 5 Charles 3,723 3.076 0 -596
6 Helen 3,249 1.443 3 313 6 Joseph 2,997 2.476 1 -67
7 Florence 3,231 1.435 -1 77 7 Frank 2,917 2.410 -1 -233
8 Ethel 3,119 1.385 0 84 8 Robert 2,563 2.117 0 -147
9 Emma 2,968 1.318 -2 -160 9 Edward 2,309 1.908 2 -107
10 Bertha 2,623 1.165 1 6 10 Harry 2,245 1.855 -1 -215
11 Clara 2,532 1.124 -1 -129 11 Henry 2,162 1.786 -1 -290
12 Minnie 2,510 1.114 0 -99 12 Thomas 2,157 1.782 0 -256
13 Alice 2,434 1.081 1 61 13 Walter 2,004 1.656 0 -225
14 Edna 2,378 1.056 4 160 14 Arthur 1,635 1.351 0 -133
15 Bessie 2,352 1.044 -2 -189 15 Fred 1,493 1.233 0 -135
16 Grace 2,308 1.025 0 9 16 Albert 1,353 1.118 0 -147
17 Annie 2,251 0.999 -2 -97 17 Clarence 1,169 0.966 0 -107
18 Ida 2,247 0.998 -1 -12 18 Roy 919 0.759 0 -129
19 Marie 2,212 0.982 2 146 19 Willie 882 0.729 0 -66
20 Lillian 2,193 0.974 0 39 20 Samuel 851 0.703 0 -51
21 Mabel 2,191 0.973 -2 21 21 Earl 819 0.677 0 -69
22 Hazel 2,052 0.911 3 155 22 Louis 816 0.674 0 -49
23 Rose 2,012 0.893 -1 -11 23 Ernest 796 0.658 3 -9
24 Gertrude 1,811 0.804 -1 -113 24 Carl 786 0.649 1 -22
25 Martha 1,805 0.801 -1 -110 25 Paul 743 0.614 4 -4
26 Pearl 1,796 0.797 0 -35 26 Richard 732 0.605 1 -70
27 Nellie 1,770 0.786 3 32 27 David 724 0.598 -3 -89
28 Ella 1,760 0.781 -1 -48 28 Joe 721 0.596 -5 -98
29 Myrtle 1,759 0.781 3 93 29 Raymond 703 0.581 2 22
30 Edith 1,733 0.769 3 108 30 Charlie 691 0.571 -2 -70
31 Laura 1,683 0.747 -2 -61 31 Ralph 636 0.525 -1 -89
32 Eva 1,668 0.741 2 57 32 Elmer 574 0.474 4 -18
33 Sarah 1,632 0.725 -5 -166 33 Oscar 574 0.474 0 -60
34 Frances 1,622 0.720 -3 -48 34 Harold 566 0.468 3 -17
35 Elsie 1,586 0.704 2 97 35 Howard 556 0.459 4 8
36 Carrie 1,451 0.644 -1 -137 36 Jesse 541 0.447 -1 -61
37 Louise 1,447 0.642 1 1 37 Will 538 0.444 -3 -69
38 Agnes 1,393 0.618 5 65 38 Alfred 530 0.438 2 -12
39 Esther 1,382 0.614 28 558 39 Daniel 522 0.431 2 -11
40 Julia 1,367 0.607 1 7 40 Andrew 520 0.430 -8 -117
41 Lillie 1,351 0.600 -5 -152 41 Herbert 519 0.429 2 6
42 Catherine 1,336 0.593 0 3 42 Benjamin 482 0.398 0 -43
43 Hattie 1,315 0.584 -3 -48 43 Sam 481 0.397 -5 -70
44 Cora 1,308 0.581 -5 -111 44 Herman 455 0.376 7 34
45 Jennie 1,273 0.565 3 61 45 Leo 448 0.370 4 4
46 Lena 1,261 0.560 1 27 46 Lee 445 0.368 0 -15
47 Mattie 1,257 0.558 -3 -46 47 Frederick 432 0.357 1 -21
48 Jessie 1,216 0.540 -2 -30 48 Francis 418 0.345 2 -11
49 Maude 1,202 0.534 -4 -68 49 Michael 407 0.336 10 27
50 Josephine 1,178 0.523 -1 -32 50 Jack 406 0.335 4 5

 

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.