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Top 100 Most Popular U.S. Baby Names Of 1962

* 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.

 

Page  of  2
1962 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 Lisa 46,080 2.273 -883 -45,775 1 Michael 85,037 4.045 -11 -72,458
2 Mary 43,488 2.145 -124 -41,107 2 David 81,320 3.869 -21 -71,196
3 Susan 35,744 1.763 -960 -35,472 3 John 78,437 3.731 -24 -69,003
4 Karen 35,185 1.736 -552 -34,633 4 James 72,557 3.452 0 -58,325
5 Linda 31,466 1.552 -703 -31,062 5 Robert 70,203 3.340 -60 -64,696
6 Patricia 26,537 1.309 -883 -26,235 6 Mark 53,503 2.545 -197 -51,567
7 Donna 25,725 1.269 -1,709 -25,602 7 William 44,858 2.134 4 -29,954
8 Cynthia 24,023 1.185 -629 -23,563 8 Richard 39,409 1.875 -167 -37,140
9 Deborah 22,897 1.130 -765 -22,544 9 Thomas 36,524 1.738 -39 -29,393
10 Sandra 22,417 1.106 -884 -22,118 10 Jeffrey 33,523 1.595 -313 -32,474
11 Lori 22,386 1.104 -1,670 -22,259 11 Scott 30,707 1.461 -473 -30,105
12 Brenda 21,275 1.050 -903 -20,985 12 Steven 30,692 1.460 -170 -28,544
13 Pamela 21,271 1.049 -1,449 -21,118 13 Joseph 30,083 1.431 -6 -19,723
14 Barbara 20,644 1.018 -894 -20,352 14 Kevin 28,351 1.349 -87 -24,546
15 Debra 20,596 1.016 -3,458 -20,552 15 Charles 27,590 1.313 -34 -20,460
16 Kimberly 20,363 1.005 -148 -18,540 16 Timothy 27,088 1.289 -148 -24,695
17 Sharon 19,633 0.969 -1,032 -19,390 17 Daniel 25,546 1.215 2 -13,906
18 Teresa 18,514 0.913 -702 -18,119 18 Kenneth 25,234 1.200 -200 -23,483
19 Nancy 18,028 0.889 -859 -17,720 19 Paul 23,803 1.132 -206 -22,119
20 Elizabeth 17,801 0.878 7 -8,886 20 Brian 23,244 1.106 -197 -21,481
21 Laura 17,493 0.863 -319 -16,554 21 Gregory 21,964 1.045 -354 -21,083
22 Julie 17,087 0.843 -496 -16,488 22 Gary 20,891 0.994 -615 -20,488
23 Tammy 16,749 0.826 -2,885 -16,692 23 Donald 20,422 0.972 -465 -19,828
24 Cheryl 16,586 0.818 -2,932 -16,531 24 Anthony 20,105 0.956 -8 -11,303
25 Robin 15,128 0.746 -995 -14,876 25 Ronald 19,975 0.950 -435 -19,320
26 Diane 14,818 0.731 -2,204 -14,734 26 Christopher 17,524 0.834 -12 -9,269
27 Kathy 14,758 0.728 -1,845 -14,650 27 Douglas 15,916 0.757 -601 -15,505
28 Carol 14,520 0.716 -1,786 -14,407 28 Stephen 15,623 0.743 -243 -14,302
29 Kathleen 14,190 0.700 -842 -13,880 29 Edward 15,524 0.739 -140 -13,215
30 Denise 13,979 0.690 -1,116 -13,764 30 Todd 12,746 0.606 -1,137 -12,586
31 Michelle 13,357 0.659 -183 -11,936 31 Larry 12,710 0.605 -598 -12,299
32 Debbie 13,100 0.646 -5,326 -13,076 32 George 12,553 0.597 -92 -9,402
33 Tina 12,782 0.631 -1,477 -12,636 33 Eric 12,356 0.588 -110 -9,599
34 Cindy 12,298 0.607 -1,059 -12,068 34 Terry 12,298 0.585 -658 -11,944
35 Janet 12,254 0.605 -1,326 -12,085 35 Randy 11,849 0.564 -630 -11,468
36 Angela 11,659 0.575 -198 -10,315 36 Keith 11,619 0.553 -457 -11,037
37 Kim 11,654 0.575 -3,362 -11,608 37 Dennis 10,622 0.505 -507 -10,112
38 Kelly 11,528 0.569 -557 -11,028 38 Jerry 10,579 0.503 -518 -10,091
39 Christine 11,196 0.552 -747 -10,850 39 Mike 10,527 0.501 -910 -10,309
40 Theresa 11,056 0.545 -1,091 -10,837 40 Patrick 10,490 0.499 -131 -8,207
41 Jennifer 10,981 0.542 -269 -9,939 41 Bruce 10,040 0.478 -390 -9,326
42 Laurie 10,676 0.527 -2,972 -10,622 42 Frank 9,755 0.464 -331 -8,874
43 Margaret 10,076 0.497 -89 -7,834 43 Peter 9,583 0.456 -170 -7,806
44 Jacqueline 9,829 0.485 -304 -8,909 44 Jeff 9,427 0.448 -2,194 -9,368
45 Rhonda 9,802 0.484 -6,403 -9,783 45 Jeffery 9,272 0.441 -707 -8,961
46 Carolyn 9,692 0.478 -795 -9,371 46 Steve 9,163 0.436 -1,016 -8,977
47 Rebecca 9,407 0.464 -169 -7,991 47 Roger 9,072 0.432 -578 -8,657
48 Sherry 9,225 0.455 -2,649 -9,161 48 Raymond 9,066 0.431 -245 -7,874
49 Maria 9,085 0.448 -62 -6,386 49 Andrew 8,703 0.414 9 -488
50 Dawn 8,981 0.443 -1,930 -8,882 50 Ricky 8,692 0.414 -640 -8,335

 

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.