Top 1000 Most Popular U.S. Baby Names Of 1951

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1951 Popular Names U.S. - Top 1000 Baby Names
				Change from 1950						Change from 1950
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Linda	73,978	4.005	0	-6,453	1	James	87,261	4.565	0	1,037
2	Mary	65,721	3.558	0	240	2	Robert	86,351	4.517	0	2,792
3	Patricia	56,442	3.055	0	8,497	3	John	81,574	4.267	0	2,150
4	Deborah	42,052	2.276	3	12,989	4	Michael	72,797	3.808	0	7,653
5	Barbara	40,620	2.199	-1	-932	5	David	64,792	3.389	0	4,065
6	Susan	40,228	2.178	-1	2,211	6	William	62,782	3.284	0	2,093
7	Nancy	30,347	1.643	-1	731	7	Richard	54,549	2.853	0	3,549
8	Karen	27,998	1.516	4	3,862	8	Thomas	48,284	2.526	0	2,685
9	Sandra	27,667	1.498	-1	-1,229	9	Charles	39,397	2.061	0	295
10	Kathleen	26,715	1.446	0	1,011	10	Gary	38,163	1.996	0	4,414
11	Carol	24,779	1.341	-2	-1,385	11	Larry	30,561	1.599	0	-923
12	Donna	24,075	1.303	1	2,446	12	Ronald	29,050	1.520	0	-864
13	Sharon	23,922	1.295	-2	-691	13	Steven	28,363	1.484	3	5,111
14	Brenda	21,716	1.176	0	921	14	Joseph	28,155	1.473	-1	1,132
15	Diane	19,840	1.074	1	2,205	15	Donald	27,918	1.460	-1	916
16	Pamela	18,569	1.005	1	2,368	16	Kenneth	25,845	1.352	-1	2,025
17	Margaret	17,692	0.958	-2	-417	17	Dennis	24,263	1.269	0	1,403
18	Debra	17,066	0.924	41	10,886	18	Paul	22,846	1.195	0	1,096
19	Janet	16,948	0.917	-1	756	19	Stephen	22,474	1.176	0	1,964
20	Cynthia	16,293	0.882	3	1,847	20	Mark	21,207	1.109	3	4,603
21	Janice	15,955	0.864	1	942	21	Daniel	21,121	1.105	0	1,930
22	Carolyn	15,210	0.823	-2	-377	22	George	20,214	1.057	-2	38
23	Elizabeth	15,120	0.819	1	785	23	Edward	19,912	1.042	-1	1,198
24	Christine	15,018	0.813	4	2,344	24	Jerry	15,163	0.793	0	-103
25	Judith	14,935	0.808	-4	-418	25	Gregory	14,104	0.738	0	793
26	Judy	14,017	0.759	-1	-189	26	Bruce	14,085	0.737	0	1,408
27	Shirley	13,920	0.754	-8	-1,970	27	Douglas	13,898	0.727	1	1,634
28	Joyce	13,471	0.729	-1	55	28	Timothy	12,702	0.664	4	2,197
29	Betty	12,825	0.694	-3	-788	29	Roger	12,424	0.650	-2	-125
30	Cheryl	11,987	0.649	-1	163	30	Terry	12,220	0.639	0	786
31	Gloria	10,952	0.593	-1	-86	31	Frank	11,469	0.600	-2	-141
32	Rebecca	10,931	0.592	4	1,504	32	Raymond	11,227	0.587	-1	47
33	Beverly	10,857	0.588	-2	354	33	Lawrence	10,261	0.537	0	87
34	Catherine	10,566	0.572	0	910	34	Anthony	9,846	0.515	2	1,228
35	Kathy	10,409	0.563	3	1,320	35	Jeffrey	9,715	0.508	8	2,068
36	Gail	9,884	0.535	6	1,536	36	Gerald	9,541	0.499	-2	-181
37	Bonnie	9,707	0.525	-4	-41	37	Wayne	9,329	0.488	-2	66
38	Martha	9,603	0.520	-6	-234	38	Peter	9,003	0.471	-1	639
39	Joan	9,404	0.509	1	542	39	Patrick	8,751	0.458	-1	570
40	Peggy	9,211	0.499	1	678	40	Alan	8,411	0.440	1	673
41	Marilyn	9,149	0.495	-4	-137	41	Danny	8,178	0.428	-2	33
42	Dorothy	9,090	0.492	-7	-462	42	Walter	8,040	0.421	-2	247
43	Jane	8,942	0.484	-4	-21	43	Carl	7,641	0.400	1	353
44	Connie	8,722	0.472	0	576	44	Arthur	7,414	0.388	2	253
45	Kathryn	8,461	0.458	1	597	45	Willie	7,229	0.378	-3	-490
46	Ann	8,421	0.456	-1	499	46	Harold	7,174	0.375	-1	-45
47	Virginia	8,180	0.443	-4	-133	47	Henry	7,120	0.372	0	156
48	Denise	8,118	0.439	34	3,603	48	Jack	7,003	0.366	0	165
49	Jean	7,626	0.413	-1	194	49	Dale	6,966	0.364	0	180
50	Diana	7,396	0.400	-3	-48	50	Johnny	6,696	0.350	0	113

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.