Top 100 Most Popular U.S. Baby Names Of 1955

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1955 Popular Names U.S. - Top 100 Baby Names
				Change from 1954						Change from 1954
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Mary	63,165	3.151	0	-4,842	1	Michael	88,327	4.227	0	-201
2	Deborah	52,315	2.610	1	-2,362	2	David	86,253	4.128	3	6,724
3	Linda	51,288	2.559	-1	-4,093	3	James	84,155	4.028	0	-2,117
4	Debra	50,556	2.522	2	4,666	4	Robert	83,703	4.006	-2	-2,595
5	Susan	47,402	2.365	0	251	5	John	80,054	3.831	-1	-1,111
6	Patricia	46,217	2.306	-2	-2,929	6	William	59,958	2.870	0	-1,459
7	Barbara	33,605	1.676	0	-2,765	7	Richard	53,545	2.563	0	-3,469
8	Karen	33,218	1.657	0	764	8	Thomas	45,824	2.193	0	-1,334
9	Nancy	30,017	1.497	0	-247	9	Mark	42,222	2.021	3	6,029
10	Donna	27,943	1.394	1	515	10	Steven	37,821	1.810	1	1,207
11	Cynthia	27,186	1.356	-1	-430	11	Charles	35,348	1.692	-1	-2,103
12	Pamela	26,692	1.332	0	-673	12	Gary	34,407	1.647	-3	-3,512
13	Sandra	25,111	1.253	0	-950	13	Joseph	31,593	1.512	0	382
14	Diane	23,296	1.162	3	1,246	14	Donald	27,714	1.326	0	-1,549
15	Carol	22,041	1.100	0	-204	15	Kenneth	26,738	1.280	2	571
16	Sharon	22,040	1.099	0	-170	16	Paul	26,677	1.277	0	459
17	Kathleen	22,004	1.098	-3	-455	17	Daniel	26,445	1.266	1	1,183
18	Brenda	19,119	0.954	0	-483	18	Ronald	26,159	1.252	-3	-1,445
19	Cheryl	19,103	0.953	3	4,090	19	Larry	22,815	1.092	0	-1,784
20	Janet	17,914	0.894	-1	-556	20	Jeffrey	22,510	1.077	3	3,453
21	Elizabeth	16,693	0.833	-1	113	21	Stephen	22,132	1.059	-1	258
22	Kathy	15,324	0.764	1	1,155	22	Timothy	20,737	0.992	4	3,309
23	Denise	14,558	0.726	1	842	23	Dennis	20,411	0.977	-2	-340
24	Margaret	14,436	0.720	-3	-792	24	Gregory	19,809	0.948	1	2,194
25	Janice	13,172	0.657	0	-341	25	Edward	19,266	0.922	-3	-249
26	Teresa	13,125	0.655	8	2,285	26	George	18,161	0.869	-2	-526
27	Rebecca	12,394	0.618	-1	-816	27	Kevin	17,153	0.821	1	1,833
28	Catherine	11,628	0.580	4	551	28	Terry	15,580	0.746	-1	28
29	Joyce	11,277	0.563	-1	-811	29	Douglas	15,317	0.733	0	615
30	Carolyn	11,174	0.557	-3	-979	30	Randy	14,957	0.716	3	2,329
31	Judith	10,429	0.520	-1	-768	31	Anthony	14,171	0.678	1	1,044
32	Judy	10,374	0.518	-3	-1,259	32	Bruce	14,078	0.674	-2	-64
33	Robin	10,216	0.510	8	1,173	33	Jerry	12,974	0.621	-2	-692
34	Beverly	9,994	0.499	-3	-1,166	34	Frank	11,102	0.531	2	110
35	Connie	9,974	0.498	4	341	35	Peter	11,002	0.527	2	920
36	Betty	9,926	0.495	0	-690	36	Raymond	10,987	0.526	-1	-250
37	Shirley	9,750	0.486	-4	-1,160	37	Roger	10,971	0.525	-3	-744
38	Theresa	9,619	0.480	9	1,110	38	Scott	10,774	0.516	2	1,320
39	Paula	9,585	0.478	-1	-103	39	Keith	10,406	0.498	6	2,046
40	Christine	9,037	0.451	3	250	40	Brian	10,109	0.484	8	2,035
41	Laura	9,005	0.449	4	288	41	Patrick	9,870	0.472	-3	-52
42	Gail	8,967	0.447	-5	-757	42	Lawrence	9,132	0.437	-3	-467
43	Ann	8,912	0.445	1	159	43	Alan	9,031	0.432	0	322
44	Cathy	8,661	0.432	15	1,449	44	Wayne	8,722	0.417	-3	-447
45	Bonnie	8,635	0.431	7	539	45	Danny	8,710	0.417	-3	-389
46	Gloria	8,556	0.427	-4	-364	46	Ricky	8,324	0.398	0	167
47	Joan	8,553	0.427	-7	-965	47	Carl	8,286	0.397	0	151
48	Lisa	8,536	0.426	25	2,626	48	Gerald	8,068	0.386	-4	-475
49	Marilyn	8,410	0.420	-14	-2,401	49	Christopher	7,905	0.378	15	1,834
50	Jane	8,337	0.416	-1	-10	50	Craig	7,439	0.356	1	260

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.