Top 1000 Most Popular U.S. Baby Names Of 1950

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1950 Popular Names U.S. - Top 1000 Baby Names
				Change from 1949						Change from 1949
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Linda	80,431	4.574	0	-10,585	1	James	86,224	4.740	0	-633
2	Mary	65,481	3.724	0	-1,383	2	Robert	83,559	4.594	0	-313
3	Patricia	47,945	2.726	0	1,615	3	John	79,424	4.366	0	-1,737
4	Barbara	41,552	2.363	0	-1,049	4	Michael	65,144	3.581	1	5,098
5	Susan	38,017	2.162	0	311	5	David	60,727	3.339	1	1,126
6	Nancy	29,616	1.684	1	370	6	William	60,689	3.336	-2	-812
7	Deborah	29,063	1.653	8	9,854	7	Richard	51,000	2.804	0	61
8	Sandra	28,896	1.643	-2	-1,746	8	Thomas	45,599	2.507	0	397
9	Carol	26,164	1.488	-1	-619	9	Charles	39,102	2.150	0	-940
10	Kathleen	25,704	1.462	-1	-650	10	Gary	33,749	1.855	2	4,824
11	Sharon	24,613	1.400	-1	-1,098	11	Larry	31,484	1.731	-1	-325
12	Karen	24,136	1.373	-1	1,669	12	Ronald	29,914	1.645	-1	-1,578
13	Donna	21,629	1.230	-1	-428	13	Joseph	27,023	1.486	1	620
14	Brenda	20,795	1.183	-1	251	14	Donald	27,002	1.484	-1	-111
15	Margaret	18,109	1.030	-1	-1,342	15	Kenneth	23,820	1.310	0	235
16	Diane	17,635	1.003	3	385	16	Steven	23,252	1.278	4	3,331
17	Pamela	16,201	0.921	4	1,069	17	Dennis	22,860	1.257	-1	1,115
18	Janet	16,192	0.921	5	1,334	18	Paul	21,750	1.196	-1	165
19	Shirley	15,890	0.904	-1	-1,388	19	Stephen	20,510	1.128	0	29
20	Carolyn	15,587	0.886	-3	-1,818	20	George	20,176	1.109	-2	-1,137
21	Judith	15,353	0.873	-5	-2,257	21	Daniel	19,191	1.055	1	956
22	Janice	15,013	0.854	2	561	22	Edward	18,714	1.029	-1	-454
23	Cynthia	14,446	0.821	4	1,549	23	Mark	16,604	0.913	1	2,877
24	Elizabeth	14,335	0.815	1	623	24	Jerry	15,266	0.839	-1	-602
25	Judy	14,206	0.808	-5	-1,775	25	Gregory	13,311	0.732	6	2,331
26	Betty	13,613	0.774	-4	-1,329	26	Bruce	12,677	0.697	0	413
27	Joyce	13,416	0.763	-1	-155	27	Roger	12,549	0.690	-2	-272
28	Christine	12,674	0.721	2	877	28	Douglas	12,264	0.674	1	941
29	Cheryl	11,824	0.672	-1	-182	29	Frank	11,610	0.638	-2	-348
30	Gloria	11,038	0.628	-1	-839	30	Terry	11,434	0.629	-2	-23
31	Beverly	10,503	0.597	0	-52	31	Raymond	11,180	0.615	-1	-124
32	Martha	9,837	0.559	2	28	32	Timothy	10,505	0.578	2	1,163
33	Bonnie	9,748	0.554	2	18	33	Lawrence	10,174	0.559	-1	-78
34	Catherine	9,656	0.549	3	520	34	Gerald	9,722	0.534	-1	-85
35	Dorothy	9,552	0.543	-3	-855	35	Wayne	9,263	0.509	0	337
36	Rebecca	9,427	0.536	4	651	36	Anthony	8,618	0.474	0	166
37	Marilyn	9,286	0.528	-4	-581	37	Peter	8,364	0.460	1	101
38	Kathy	9,089	0.517	4	638	38	Patrick	8,181	0.450	1	107
39	Jane	8,963	0.510	2	244	39	Danny	8,145	0.448	1	121
40	Joan	8,862	0.504	-4	-343	40	Walter	7,793	0.428	-3	-502
41	Peggy	8,533	0.485	-3	-586	41	Alan	7,738	0.425	4	482
42	Gail	8,348	0.475	9	1,122	42	Willie	7,719	0.424	-1	-194
43	Virginia	8,313	0.473	-4	-581	43	Jeffrey	7,647	0.420	5	661
44	Connie	8,146	0.463	-1	-73	44	Carl	7,288	0.401	-1	-402
45	Ann	7,922	0.450	-1	53	45	Harold	7,219	0.397	-3	-594
46	Kathryn	7,864	0.447	6	680	46	Arthur	7,161	0.394	-2	-317
47	Diana	7,444	0.423	1	-91	47	Henry	6,964	0.383	-1	-215
48	Jean	7,432	0.423	-3	-328	48	Jack	6,838	0.376	-1	-295
49	Ruth	7,128	0.405	-2	-524	49	Dale	6,786	0.373	5	561
50	Helen	7,058	0.401	-4	-649	50	Johnny	6,583	0.362	-1	-386

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.