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Top 100 Most Popular U.S. Baby Names Of 1954

* 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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1954 Popular Names U.S. - Top 100 Baby Names
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2017
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2017
Girls Number
of Girls
% Rank Number Boys Number
of Boys
% Rank Number
1 Mary 68,005 3.416 -125 -65,624 1 Michael 88,514 4.279 -11 -75,935
2 Linda 55,381 2.782 -706 -54,977 2 James 86,288 4.172 -2 -72,056
3 Deborah 54,683 2.747 -771 -54,330 3 Robert 86,288 4.172 -62 -80,781
4 Patricia 49,144 2.469 -885 -48,842 4 John 81,166 3.924 -23 -71,732
5 Susan 47,158 2.369 -958 -46,886 5 David 79,532 3.845 -18 -69,408
6 Debra 45,886 2.305 -3,467 -45,842 6 William 61,420 2.969 3 -46,516
7 Barbara 36,374 1.827 -901 -36,082 7 Richard 57,026 2.757 -168 -54,757
8 Karen 32,455 1.630 -548 -31,903 8 Thomas 47,156 2.280 -40 -40,025
9 Nancy 30,264 1.520 -869 -29,956 9 Gary 37,910 1.833 -628 -37,507
10 Cynthia 27,617 1.387 -627 -27,157 10 Charles 37,443 1.810 -39 -30,313
11 Donna 27,429 1.378 -1,705 -27,306 11 Steven 36,609 1.770 -171 -34,461
12 Pamela 27,366 1.375 -1,450 -27,213 12 Mark 36,199 1.750 -191 -34,263
13 Sandra 26,061 1.309 -881 -25,762 13 Joseph 31,201 1.508 -6 -20,841
14 Kathleen 22,460 1.128 -857 -22,150 14 Donald 29,268 1.415 -474 -28,674
15 Carol 22,249 1.118 -1,799 -22,136 15 Ronald 27,596 1.334 -445 -26,941
16 Sharon 22,211 1.116 -1,033 -21,968 16 Paul 26,220 1.268 -209 -24,536
17 Diane 22,046 1.107 -2,213 -21,962 17 Kenneth 26,160 1.265 -201 -24,409
18 Brenda 19,600 0.985 -897 -19,310 18 Daniel 25,263 1.221 3 -13,623
19 Janet 18,466 0.928 -1,342 -18,297 19 Larry 24,605 1.190 -610 -24,194
20 Elizabeth 16,581 0.833 7 -7,666 20 Stephen 21,872 1.057 -251 -20,551
21 Margaret 15,225 0.765 -111 -12,983 21 Dennis 20,752 1.003 -523 -20,242
22 Cheryl 15,011 0.754 -2,934 -14,956 22 Edward 19,514 0.943 -147 -17,205
23 Kathy 14,166 0.712 -1,849 -14,058 23 Jeffrey 19,050 0.921 -300 -18,001
24 Denise 13,715 0.689 -1,122 -13,500 24 George 18,687 0.903 -100 -15,536
25 Janice 13,514 0.679 -1,468 -13,366 25 Gregory 17,611 0.851 -350 -16,730
26 Rebecca 13,209 0.663 -190 -11,793 26 Timothy 17,436 0.843 -138 -15,043
27 Carolyn 12,156 0.611 -814 -11,835 27 Terry 15,550 0.752 -665 -15,196
28 Joyce 12,090 0.607 -808 -11,767 28 Kevin 15,322 0.741 -73 -11,517
29 Judy 11,635 0.584 -1,582 -11,501 29 Douglas 14,702 0.711 -599 -14,291
30 Judith 11,196 0.562 -816 -10,877 30 Bruce 14,140 0.684 -401 -13,426
31 Beverly 11,160 0.561 -1,391 -11,001 31 Jerry 13,664 0.661 -525 -13,176
32 Catherine 11,081 0.557 -166 -9,508 32 Anthony 13,128 0.635 0 -4,326
33 Shirley 10,911 0.548 -1,238 -10,727 33 Randy 12,624 0.610 -632 -12,243
34 Teresa 10,839 0.544 -686 -10,444 34 Roger 11,709 0.566 -591 -11,294
35 Marilyn 10,812 0.543 -493 -10,232 35 Raymond 11,238 0.543 -258 -10,046
36 Betty 10,614 0.533 -1,284 -10,439 36 Frank 10,997 0.532 -337 -10,116
37 Gail 9,723 0.488 -8,346 -9,710 37 Peter 10,078 0.487 -176 -8,301
38 Paula 9,690 0.487 -809 -9,371 38 Patrick 9,920 0.480 -133 -7,637
39 Connie 9,635 0.484 -2,920 -9,580 39 Lawrence 9,601 0.464 -457 -9,022
40 Joan 9,518 0.478 -1,640 -9,391 40 Scott 9,451 0.457 -444 -8,849
41 Robin 9,046 0.454 -979 -8,794 41 Wayne 9,163 0.443 -775 -8,889
42 Gloria 8,914 0.448 -519 -8,376 42 Danny 9,095 0.440 -462 -8,523
43 Christine 8,787 0.441 -743 -8,441 43 Alan 8,710 0.421 -116 -6,274
44 Ann 8,754 0.440 -979 -8,503 44 Gerald 8,541 0.413 -780 -8,272
45 Laura 8,715 0.438 -295 -7,776 45 Keith 8,359 0.404 -448 -7,777
46 Martha 8,594 0.432 -704 -8,224 46 Ricky 8,159 0.394 -644 -7,802
47 Theresa 8,508 0.427 -1,084 -8,289 47 Carl 8,133 0.393 -580 -7,722
48 Peggy 8,454 0.425 -5,546 -8,431 48 Brian 8,078 0.391 -169 -6,315
49 Jane 8,349 0.419 -233 -7,201 49 Walter 7,479 0.362 -216 -6,126
50 Vicki 8,219 0.413 -6,988 -8,202 50 Dale 7,445 0.360 -1,165 -7,295

 

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.