Top 1000 Most Popular U.S. Baby Names Of 1944

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1944 Popular Names U.S. - Top 1000 Baby Names
				Change from 1943						Change from 1943
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Mary	62,467	4.571	0	-3,702	1	James	76,951	5.540	0	-3,310
2	Barbara	39,197	2.868	0	-4,232	2	Robert	70,843	5.100	0	-4,022
3	Linda	38,412	2.811	1	-27	3	John	66,610	4.796	0	-2,309
4	Patricia	36,877	2.699	-1	-2,748	4	William	52,369	3.770	0	-3,529
5	Carol	30,456	2.229	0	-1,226	5	Richard	45,642	3.286	0	-686
6	Sandra	26,023	1.904	0	35	6	David	37,381	2.691	0	145
7	Nancy	23,212	1.699	2	-778	7	Charles	34,654	2.495	0	-1,973
8	Judith	22,430	1.641	-1	-2,779	8	Thomas	31,598	2.275	0	-1,267
9	Sharon	22,430	1.641	-1	-2,283	9	Michael	26,720	1.924	1	1,977
10	Betty	19,756	1.446	0	-1,840	10	Ronald	25,511	1.837	-1	-3,724
11	Carolyn	18,669	1.366	0	-1,693	11	Donald	23,461	1.689	0	-954
12	Judy	17,120	1.253	1	-260	12	Larry	22,020	1.585	0	-953
13	Susan	16,330	1.195	5	1,442	13	Joseph	21,173	1.524	0	-1,651
14	Margaret	16,318	1.194	0	-832	14	George	20,418	1.470	0	-1,265
15	Shirley	16,309	1.194	-3	-1,508	15	Gary	20,056	1.444	1	2,191
16	Karen	15,943	1.167	-1	-873	16	Kenneth	18,094	1.303	-1	-1,016
17	Donna	15,172	1.110	0	258	17	Paul	16,653	1.199	2	-598
18	Joyce	14,769	1.081	-2	-1,716	18	Edward	16,475	1.186	0	-1,238
19	Dorothy	13,380	0.979	0	-1,410	19	Jerry	16,280	1.172	-2	-1,451
20	Kathleen	13,005	0.952	2	852	20	Dennis	13,677	0.985	0	-434
21	Janet	12,591	0.921	-1	-725	21	Frank	11,343	0.817	0	-903
22	Joan	11,922	0.872	-1	-1,306	22	Raymond	10,632	0.765	0	-760
23	Elizabeth	11,033	0.807	0	-613	23	Roger	10,580	0.762	1	-184
24	Diane	10,710	0.784	0	-616	24	Gerald	10,024	0.722	-1	-1,336
25	Gloria	9,967	0.729	5	283	25	Daniel	9,314	0.671	0	147
26	Virginia	9,894	0.724	-1	-950	26	Walter	8,161	0.588	0	-878
27	Marilyn	9,737	0.713	0	-408	27	Harold	7,978	0.574	0	-686
28	Janice	9,731	0.712	-2	-922	28	Stephen	7,792	0.561	1	-138
29	Martha	9,333	0.683	0	-374	29	Arthur	7,254	0.522	1	-529
30	Brenda	8,999	0.659	5	563	30	Jack	7,254	0.522	4	-145
31	Helen	8,694	0.636	-3	-1,105	31	Willie	7,191	0.518	5	8
32	Ruth	8,675	0.635	1	-692	32	Lawrence	7,126	0.513	0	-455
33	Frances	8,484	0.621	-2	-960	33	Joe	7,059	0.508	2	-249
34	Bonnie	8,456	0.619	0	-413	34	Douglas	6,997	0.504	-6	-1,241
35	Beverly	8,292	0.607	-3	-1,141	35	Henry	6,971	0.502	-4	-656
36	Cheryl	7,972	0.583	66	5,094	36	Carl	6,822	0.491	-3	-642
37	Jean	7,649	0.560	-1	-447	37	Wayne	6,722	0.484	4	-42
38	Alice	7,102	0.520	0	-546	38	Billy	6,542	0.471	-1	-472
39	Ann	7,080	0.518	-2	-749	39	Roy	6,530	0.470	-1	-406
40	Phyllis	7,024	0.514	-1	-583	40	Peter	6,340	0.456	-1	-537
41	Jane	6,565	0.480	3	536	41	Jimmy	6,325	0.455	1	-115
42	Doris	6,324	0.463	-2	-803	42	Ralph	6,272	0.452	-2	-497
43	Carole	6,270	0.459	-1	-236	43	Terry	5,975	0.430	6	241
44	Pamela	6,203	0.454	10	1,365	44	Albert	5,853	0.421	-1	-453
45	Peggy	6,019	0.440	-4	-491	45	Johnny	5,661	0.408	7	282
46	Elaine	5,628	0.412	0	-338	46	Anthony	5,605	0.404	-2	-597
47	Lois	5,530	0.405	-4	-602	47	Fred	5,577	0.402	-2	-592
48	Marie	5,297	0.388	-3	-683	48	Eugene	5,505	0.396	-1	-396
49	Catherine	5,257	0.385	-1	-168	49	Harry	5,477	0.394	1	-243
50	Charlotte	4,928	0.361	-3	-553	50	Bobby	5,407	0.389	-4	-714

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.