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Top 100 Most Popular U.S. Baby Names Of 1958

* 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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1958 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 55,853 2.705 -125 -53,472 1 Michael 90,520 4.204 -11 -77,941
2 Susan 45,172 2.187 -961 -44,900 2 David 82,584 3.836 -21 -72,460
3 Linda 41,898 2.029 -705 -41,494 3 James 78,709 3.656 -1 -64,477
4 Karen 38,464 1.863 -552 -37,912 4 Robert 77,286 3.590 -61 -71,779
5 Patricia 37,936 1.837 -884 -37,634 5 John 75,992 3.530 -22 -66,558
6 Debra 35,517 1.720 -3,467 -35,473 6 William 54,195 2.517 3 -39,291
7 Deborah 32,935 1.595 -767 -32,582 7 Mark 52,662 2.446 -196 -50,726
8 Cynthia 31,003 1.501 -629 -30,543 8 Richard 49,941 2.320 -167 -47,672
9 Barbara 27,879 1.350 -899 -27,587 9 Thomas 42,066 1.954 -39 -34,935
10 Donna 26,946 1.305 -1,706 -26,823 10 Steven 32,946 1.530 -172 -30,798
11 Pamela 25,262 1.223 -1,451 -25,109 11 Charles 32,236 1.497 -38 -25,106
12 Nancy 24,816 1.202 -866 -24,508 12 Joseph 30,095 1.398 -7 -19,735
13 Cheryl 24,113 1.168 -2,943 -24,058 13 Timothy 28,761 1.336 -151 -26,368
14 Kathy 23,943 1.159 -1,858 -23,835 14 Kenneth 26,662 1.238 -204 -24,911
15 Sandra 21,824 1.057 -879 -21,525 15 Paul 26,247 1.219 -210 -24,563
16 Brenda 21,340 1.033 -899 -21,050 16 Daniel 25,612 1.190 1 -13,972
17 Sharon 21,108 1.022 -1,032 -20,865 17 Gary 25,270 1.174 -620 -24,867
18 Diane 20,817 1.008 -2,212 -20,733 18 Donald 25,000 1.161 -470 -24,406
19 Lisa 20,208 0.979 -865 -19,903 19 Ronald 24,807 1.152 -441 -24,152
20 Carol 19,685 0.953 -1,794 -19,572 20 Kevin 24,650 1.145 -81 -20,845
21 Kathleen 19,199 0.930 -850 -18,889 21 Jeffrey 24,206 1.124 -302 -23,157
22 Elizabeth 18,528 0.897 9 -9,613 22 Larry 20,066 0.932 -607 -19,655
23 Julie 18,203 0.881 -495 -17,604 23 Gregory 19,790 0.919 -352 -18,909
24 Debbie 17,859 0.865 -5,334 -17,835 24 Brian 19,255 0.894 -193 -17,492
25 Cindy 16,583 0.803 -1,068 -16,353 25 Scott 19,158 0.890 -459 -18,556
26 Teresa 15,604 0.756 -694 -15,209 26 Stephen 17,949 0.834 -245 -16,628
27 Denise 14,952 0.724 -1,119 -14,737 27 Anthony 17,425 0.809 -5 -8,623
28 Janet 14,817 0.718 -1,333 -14,648 28 Edward 17,366 0.807 -141 -15,057
29 Laura 13,507 0.654 -311 -12,568 29 Dennis 16,411 0.762 -515 -15,901
30 Lori 13,034 0.631 -1,651 -12,907 30 Douglas 15,776 0.733 -598 -15,365
31 Margaret 12,312 0.596 -101 -10,070 31 George 15,635 0.726 -93 -12,484
32 Robin 11,539 0.559 -988 -11,287 32 Randy 15,179 0.705 -633 -14,798
33 Theresa 11,453 0.555 -1,098 -11,234 33 Terry 14,991 0.696 -659 -14,637
34 Cathy 10,934 0.529 -4,440 -10,903 34 Ricky 13,373 0.621 -656 -13,016
35 Janice 10,881 0.527 -1,458 -10,733 35 Jerry 12,918 0.600 -521 -12,430
36 Judy 10,828 0.524 -1,575 -10,694 36 Bruce 12,456 0.579 -395 -11,742
37 Carolyn 10,805 0.523 -804 -10,484 37 Keith 11,895 0.552 -456 -11,313
38 Catherine 10,763 0.521 -160 -9,190 38 Frank 11,312 0.525 -335 -10,431
39 Kimberly 10,712 0.519 -125 -8,889 39 Christopher 11,076 0.514 1 -2,821
40 Kim 10,652 0.516 -3,359 -10,606 40 Mike 10,776 0.501 -909 -10,558
41 Rebecca 10,404 0.504 -175 -8,988 41 Peter 10,741 0.499 -172 -8,964
42 Peggy 10,070 0.488 -5,552 -10,047 42 Patrick 10,231 0.475 -129 -7,948
43 Christine 10,053 0.487 -743 -9,707 43 Raymond 10,217 0.475 -250 -9,025
44 Tammy 9,983 0.483 -2,864 -9,926 44 Steve 10,088 0.469 -1,018 -9,902
45 Diana 9,161 0.444 -185 -7,803 45 Danny 8,939 0.415 -459 -8,367
46 Joyce 9,031 0.437 -790 -8,708 46 Dale 8,482 0.394 -1,169 -8,332
47 Ann 8,849 0.429 -976 -8,598 47 Roger 8,369 0.389 -578 -7,954
48 Rhonda 8,348 0.404 -6,400 -8,329 48 Wayne 8,328 0.387 -768 -8,054
49 Darlene 8,274 0.401 -1,472 -8,130 49 Alan 8,227 0.382 -110 -5,791
50 Connie 8,209 0.398 -2,909 -8,154 50 Eric 8,190 0.380 -93 -5,433

 

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.