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

Top 100 Most Popular U.S. Baby Names Of 1899

* 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  2
1899 Popular Names U.S. - Top 100 Baby Names
  Change from
1898
  Change from
1898
Girls Number
of Girls
% Rank Number Boys Number
of Boys
% Rank Number
1 Mary 13,172 5.322 0 -1,234 1 John 6,990 6.068 0 -1,169
2 Anna 5,115 2.067 0 -658 2 William 6,086 5.283 0 -1,314
3 Helen 5,048 2.040 0 -182 3 James 4,597 3.991 0 -724
4 Margaret 4,249 1.717 0 -447 4 George 4,018 3.488 0 -835
5 Ruth 3,912 1.581 0 -337 5 Charles 3,147 2.732 0 -410
6 Florence 3,314 1.339 0 -476 6 Joseph 2,679 2.326 0 -492
7 Elizabeth 3,287 1.328 0 -372 7 Robert 2,609 2.265 0 -323
8 Marie 3,156 1.275 1 -279 8 Frank 2,550 2.214 0 -375
9 Ethel 2,999 1.212 -1 -532 9 Edward 1,901 1.650 0 -436
10 Lillian 2,703 1.092 0 -358 10 Henry 1,831 1.590 1 -314
11 Edna 2,534 1.024 1 -279 11 Thomas 1,811 1.572 -1 -350
12 Alice 2,523 1.019 -1 -323 12 Walter 1,749 1.518 1 -253
13 Emma 2,445 0.988 0 -343 13 Harry 1,732 1.504 -1 -397
14 Clara 2,441 0.986 0 -290 14 Arthur 1,357 1.178 0 -262
15 Grace 2,353 0.951 0 -373 15 Albert 1,210 1.050 1 -207
16 Bertha 2,294 0.927 1 -348 16 Fred 1,182 1.026 -1 -265
17 Mildred 2,291 0.926 11 190 17 Clarence 1,139 0.989 0 -187
18 Annie 2,289 0.925 0 -181 18 Willie 1,088 0.945 0 -46
19 Bessie 2,280 0.921 -3 -367 19 Harold 914 0.793 3 -49
20 Gladys 2,228 0.900 7 92 20 Roy 912 0.792 0 -137
21 Rose 2,197 0.888 -1 -239 21 Paul 885 0.768 0 -106
22 Mabel 2,127 0.859 1 -204 22 Raymond 869 0.754 1 -60
23 Gertrude 2,111 0.853 1 -191 23 Earl 821 0.713 2 -62
24 Frances 2,058 0.832 -2 -321 24 Joe 780 0.677 5 -47
25 Minnie 2,036 0.823 -4 -373 25 Carl 774 0.672 -1 -145
26 Hazel 2,033 0.821 -7 -406 26 Louis 770 0.668 1 -92
27 Pearl 1,999 0.808 -1 -159 27 Ernest 744 0.646 1 -95
28 Martha 1,907 0.771 -3 -277 28 Richard 744 0.646 -2 -128
29 Esther 1,823 0.737 2 -224 29 Ralph 742 0.644 2 -61
30 Myrtle 1,821 0.736 0 -269 30 Samuel 704 0.611 2 -45
31 Ida 1,804 0.729 -2 -286 31 Charlie 678 0.589 2 -50
32 Edith 1,793 0.724 0 -188 32 David 646 0.561 -2 -169
33 Elsie 1,706 0.689 0 -213 33 Herbert 590 0.512 1 -126
34 Irene 1,703 0.688 0 -199 34 Howard 589 0.511 1 -117
35 Dorothy 1,687 0.682 8 16 35 Jack 582 0.505 2 -51
36 Catherine 1,628 0.658 5 -77 36 Andrew 578 0.502 2 -33
37 Agnes 1,611 0.651 3 -97 37 Elmer 514 0.446 3 -69
38 Sarah 1,587 0.641 -1 -213 38 Francis 501 0.435 5 -40
39 Eva 1,582 0.639 -4 -241 39 Dewey 499 0.433 -20 -616
40 Louise 1,536 0.621 2 -157 40 Lawrence 497 0.431 4 -36
41 Nellie 1,510 0.610 -5 -300 41 Alfred 496 0.431 -5 -149
42 Ella 1,502 0.607 -3 -213 42 Daniel 485 0.421 3 -38
43 Laura 1,472 0.595 -5 -296 43 Leo 482 0.418 -4 -106
44 Josephine 1,388 0.561 2 -37 44 Sam 469 0.407 -2 -74
45 Lillie 1,350 0.545 -1 -172 45 Eugene 449 0.390 4 -24
46 Carrie 1,346 0.544 1 -25 46 Oscar 447 0.388 -5 -99
47 Julia 1,297 0.524 -2 -165 47 Jesse 423 0.367 0 -53
48 Mattie 1,171 0.473 2 -143 48 Will 414 0.359 0 -61
49 Lena 1,159 0.468 0 -161 49 Herman 413 0.359 1 -54
50 Viola 1,156 0.467 3 -116 50 Lee 388 0.337 -4 -110

 

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.