Top 1000 Most Popular U.S. Baby Names Of 1945

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1945 Popular Names U.S. - Top 1000 Baby Names
				Change from 1944						Change from 1944
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Mary	59,283	4.404	0	-3,184	1	James	74,449	5.429	0	-2,502
2	Linda	41,462	3.080	1	3,050	2	Robert	69,937	5.100	0	-906
3	Barbara	38,276	2.844	-1	-921	3	John	66,113	4.821	0	-497
4	Patricia	35,839	2.662	0	-1,038	4	William	50,213	3.662	0	-2,156
5	Carol	30,387	2.257	0	-69	5	Richard	46,043	3.358	0	401
6	Sandra	24,701	1.835	0	-1,322	6	David	37,098	2.705	0	-283
7	Nancy	21,456	1.594	0	-1,756	7	Charles	32,462	2.367	0	-2,192
8	Sharon	20,834	1.548	1	-1,596	8	Thomas	31,869	2.324	0	271
9	Judith	20,189	1.500	-1	-2,241	9	Michael	29,899	2.180	0	3,179
10	Susan	19,222	1.428	3	2,892	10	Ronald	23,663	1.726	0	-1,848
11	Betty	18,389	1.366	-1	-1,367	11	Larry	22,822	1.664	1	802
12	Carolyn	17,244	1.281	-1	-1,425	12	Donald	22,135	1.614	-1	-1,326
13	Judy	17,002	1.263	-1	-118	13	Gary	21,344	1.556	2	1,288
14	Shirley	16,149	1.200	1	-160	14	Joseph	20,815	1.518	-1	-358
15	Margaret	15,683	1.165	-1	-635	15	George	19,318	1.409	-1	-1,100
16	Karen	15,678	1.165	0	-265	16	Kenneth	18,093	1.319	0	-1
17	Donna	15,397	1.144	0	225	17	Paul	16,992	1.239	0	339
18	Joyce	13,951	1.036	0	-818	18	Edward	15,868	1.157	0	-607
19	Kathleen	13,801	1.025	1	796	19	Dennis	14,990	1.093	1	1,313
20	Dorothy	12,326	0.916	-1	-1,054	20	Jerry	14,701	1.072	-1	-1,579
21	Janet	12,326	0.916	0	-265	21	Frank	10,871	0.793	0	-472
22	Diane	12,224	0.908	2	1,514	22	Roger	10,571	0.771	1	-9
23	Gloria	11,036	0.820	2	1,069	23	Raymond	9,855	0.719	-1	-777
24	Janice	10,783	0.801	4	1,052	24	Daniel	9,705	0.708	1	391
25	Joan	10,395	0.772	-3	-1,527	25	Gerald	8,858	0.646	-1	-1,166
26	Elizabeth	10,338	0.768	-3	-695	26	Stephen	8,639	0.630	2	847
27	Marilyn	9,534	0.708	0	-203	27	Walter	7,575	0.552	-1	-586
28	Virginia	9,241	0.687	-2	-653	28	Harold	7,524	0.549	-1	-454
29	Brenda	9,205	0.684	1	206	29	Douglas	7,393	0.539	5	396
30	Martha	8,749	0.650	-1	-584	30	Lawrence	7,165	0.523	2	39
31	Helen	8,301	0.617	0	-393	31	Willie	7,027	0.512	0	-164
32	Cheryl	8,150	0.605	4	178	32	Jack	6,853	0.500	-2	-401
33	Ruth	8,044	0.598	-1	-631	33	Terry	6,833	0.498	10	858
34	Frances	7,940	0.590	-1	-544	34	Arthur	6,800	0.496	-5	-454
35	Bonnie	7,745	0.575	-1	-711	35	Wayne	6,737	0.491	2	15
36	Jane	7,639	0.568	5	1,074	36	Joe	6,627	0.483	-3	-432
37	Beverly	7,619	0.566	-2	-673	37	Henry	6,603	0.482	-2	-368
38	Jean	7,427	0.552	-1	-222	38	Peter	6,484	0.473	2	144
39	Ann	7,037	0.523	0	-43	39	Carl	6,313	0.460	-3	-509
40	Phyllis	6,530	0.485	0	-494	40	Roy	6,182	0.451	-1	-348
41	Alice	6,358	0.472	-3	-744	41	Jimmy	6,155	0.449	0	-170
42	Pamela	6,169	0.458	2	-34	42	Billy	6,018	0.439	-4	-524
43	Diana	6,047	0.449	17	1,736	43	Steven	5,975	0.436	9	865
44	Elaine	5,888	0.437	2	260	44	Ralph	5,785	0.422	-2	-487
45	Peggy	5,839	0.434	0	-180	45	Johnny	5,702	0.416	0	41
46	Doris	5,819	0.432	-4	-505	46	Anthony	5,685	0.415	0	80
47	Connie	5,338	0.397	4	543	47	Harry	5,653	0.412	2	176
48	Lois	5,147	0.382	-1	-383	48	Bruce	5,613	0.409	3	352
49	Marie	5,082	0.378	-1	-215	49	Albert	5,430	0.396	-5	-423
50	Catherine	5,030	0.374	-1	-227	50	Eugene	5,161	0.376	-2	-344

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.