Top 100 Most Popular U.S. Baby Names Of 1952

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1952 Popular Names U.S. - Top 100 Baby Names
				Change from 1951						Change from 1951
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Linda	67,082	3.527	0	-6,896	1	James	87,063	4.412	0	-198
2	Mary	65,634	3.451	0	-87	2	Robert	86,604	4.388	0	253
3	Patricia	53,098	2.792	0	-3,344	3	John	83,138	4.213	0	1,564
4	Deborah	49,814	2.619	0	7,762	4	Michael	79,049	4.006	0	6,252
5	Susan	41,350	2.174	1	1,122	5	David	71,750	3.636	0	6,958
6	Barbara	39,865	2.096	-1	-755	6	William	63,047	3.195	0	265
7	Nancy	31,740	1.669	0	1,393	7	Richard	58,350	2.957	0	3,801
8	Karen	28,959	1.523	0	961	8	Thomas	48,652	2.465	0	368
9	Debra	26,832	1.411	9	9,766	9	Charles	38,869	1.970	0	-528
10	Sandra	26,101	1.372	-1	-1,566	10	Gary	38,756	1.964	0	593
11	Kathleen	25,767	1.355	-1	-948	11	Steven	32,032	1.623	2	3,669
12	Carol	23,993	1.261	-1	-786	12	Joseph	28,518	1.445	2	363
13	Donna	23,714	1.247	-1	-361	13	Donald	28,283	1.433	2	365
14	Sharon	23,386	1.230	-1	-536	14	Larry	28,239	1.431	-3	-2,322
15	Brenda	21,444	1.127	-1	-272	15	Ronald	27,798	1.409	-3	-1,252
16	Diane	21,064	1.107	-1	1,224	16	Kenneth	25,904	1.313	0	59
17	Pamela	20,880	1.098	-1	2,311	17	Mark	25,680	1.301	3	4,473
18	Cynthia	19,883	1.045	2	3,590	18	Dennis	24,557	1.244	-1	294
19	Janet	17,923	0.942	0	975	19	Paul	24,301	1.231	-1	1,455
20	Christine	17,548	0.923	4	2,530	20	Daniel	23,424	1.187	1	2,303
21	Margaret	17,097	0.899	-4	-595	21	Stephen	23,049	1.168	-2	575
22	Elizabeth	16,022	0.842	1	902	22	George	19,821	1.004	0	-393
23	Janice	14,979	0.788	-2	-976	23	Edward	19,510	0.989	0	-402
24	Carolyn	14,271	0.750	-2	-939	24	Gregory	15,197	0.770	1	1,093
25	Judith	14,062	0.739	0	-873	25	Bruce	14,485	0.734	1	400
26	Judy	13,633	0.717	0	-384	26	Jerry	14,443	0.732	-2	-720
27	Joyce	13,126	0.690	1	-345	27	Timothy	14,169	0.718	1	1,467
28	Shirley	12,530	0.659	-1	-1,390	28	Douglas	13,684	0.693	-1	-214
29	Kathy	12,370	0.650	6	1,961	29	Terry	12,442	0.630	1	222
30	Rebecca	12,226	0.643	2	1,295	30	Roger	12,127	0.614	-1	-297
31	Cheryl	12,199	0.641	-1	212	31	Jeffrey	12,013	0.609	4	2,298
32	Betty	12,131	0.638	-3	-694	32	Frank	11,277	0.571	-1	-192
33	Denise	11,655	0.613	15	3,537	33	Raymond	11,238	0.569	-1	11
34	Catherine	11,052	0.581	0	486	34	Anthony	11,188	0.567	0	1,342
35	Beverly	10,547	0.555	-2	-310	35	Lawrence	10,306	0.522	-2	45
36	Gloria	10,461	0.550	-5	-491	36	Peter	9,583	0.486	2	580
37	Joan	10,277	0.540	2	873	37	Patrick	9,176	0.465	2	425
38	Marilyn	9,800	0.515	3	651	38	Wayne	9,092	0.461	-1	-237
39	Gail	9,765	0.513	-3	-119	39	Gerald	9,029	0.458	-3	-512
40	Martha	9,697	0.510	-2	94	40	Danny	8,823	0.447	1	645
41	Bonnie	9,387	0.494	-4	-320	41	Randy	8,651	0.438	15	2,618
42	Jane	9,323	0.490	1	381	42	Alan	8,306	0.421	-2	-105
43	Peggy	8,992	0.473	-3	-219	43	Kevin	7,919	0.401	10	1,567
44	Connie	8,758	0.460	0	36	44	Walter	7,901	0.400	-2	-139
45	Ann	8,654	0.455	1	233	45	Carl	7,823	0.396	-2	182
46	Dorothy	8,613	0.453	-4	-477	46	Dale	7,415	0.376	3	449
47	Paula	8,566	0.450	4	1,272	47	Arthur	7,234	0.367	-3	-180
48	Kathryn	8,504	0.447	-3	43	48	Willie	7,196	0.365	-3	-33
49	Virginia	8,162	0.429	-2	-18	49	Keith	7,172	0.363	10	1,403
50	Jean	7,510	0.395	-1	-116	50	Henry	6,978	0.354	-3	-142

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.