Top 100 Most Popular U.S. Baby Names Of 1933

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1933 Popular Names U.S. - Top 100 Baby Names
				Change from 1932						Change from 1932
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Mary	55,509	5.307	0	-4,365	1	Robert	54,218	5.315	0	-5,048
2	Betty	31,526	3.014	0	-2,891	2	James	51,102	5.010	0	-820
3	Barbara	26,951	2.577	0	637	3	John	46,222	4.531	0	-2,395
4	Dorothy	22,047	2.108	0	-2,927	4	William	39,049	3.828	0	-3,068
5	Joan	19,290	1.844	0	-1,755	5	Richard	31,337	3.072	0	-461
6	Patricia	18,631	1.781	0	642	6	Charles	28,988	2.842	0	-2,107
7	Margaret	15,239	1.457	0	-1,310	7	Donald	28,437	2.788	0	-1,349
8	Helen	14,643	1.400	0	-1,733	8	George	18,358	1.800	0	-2,078
9	Shirley	14,315	1.369	0	-161	9	Joseph	17,162	1.682	0	-1,401
10	Doris	12,024	1.150	0	-885	10	Thomas	16,500	1.618	0	-334
11	Nancy	11,869	1.135	2	922	11	Edward	13,796	1.352	0	-1,393
12	Joyce	11,192	1.070	0	-170	12	Ronald	12,061	1.182	4	920
13	Ruth	11,137	1.065	-2	-1,117	13	David	12,024	1.179	-1	-114
14	Jean	9,966	0.953	1	-704	14	Paul	11,850	1.162	-1	-220
15	Virginia	9,721	0.929	-1	-1,034	15	Kenneth	11,403	1.118	-1	-337
16	Marilyn	9,125	0.872	0	-1,444	16	Frank	10,959	1.074	-1	-536
17	Elizabeth	9,015	0.862	0	-981	17	Jack	9,835	0.964	0	-884
18	Frances	8,882	0.849	1	-676	18	Harold	9,544	0.936	0	-883
19	Lois	8,653	0.827	1	-865	19	Raymond	9,512	0.932	0	-831
20	Carol	8,220	0.786	12	1,651	20	Billy	8,937	0.876	0	-497
21	Dolores	8,020	0.767	-3	-1,610	21	Walter	7,758	0.761	0	-905
22	Alice	7,695	0.736	-1	-839	22	Gerald	7,422	0.728	2	77
23	Norma	7,481	0.715	-1	-926	23	Eugene	7,351	0.721	-1	-699
24	Donna	7,360	0.704	5	-1	24	Henry	6,726	0.659	-1	-743
25	Janet	7,342	0.702	10	1,556	25	Arthur	6,521	0.639	0	-395
26	Beverly	7,184	0.687	2	-342	26	Bobby	6,492	0.636	4	-104
27	Martha	7,163	0.685	0	-418	27	Joe	6,409	0.628	2	-289
28	Phyllis	7,111	0.680	2	-199	28	Carl	6,191	0.607	0	-520
29	Anna	7,074	0.676	-5	-845	29	Ralph	6,183	0.606	-2	-545
30	Evelyn	6,947	0.664	-7	-1,011	30	Albert	6,087	0.597	-4	-778
31	Gloria	6,754	0.646	-6	-1,056	31	Jerry	6,066	0.595	3	762
32	Mildred	6,573	0.628	-6	-1,070	32	Willie	5,982	0.586	-1	-566
33	Marie	6,240	0.597	-2	-668	33	Franklin	5,363	0.526	33	2,609
34	Ann	6,209	0.594	0	13	34	Fred	5,286	0.518	-1	-236
35	Rose	5,770	0.552	-2	-702	35	Harry	5,136	0.504	-3	-569
36	Peggy	5,533	0.529	4	87	36	Howard	4,994	0.490	0	-299
37	Annie	5,125	0.490	4	-258	37	Norman	4,955	0.486	0	-315
38	Eleanor	5,102	0.488	7	265	38	Lawrence	4,908	0.481	-3	-386
39	Louise	5,080	0.486	-3	-562	39	Roy	4,904	0.481	-1	-333
40	Marjorie	5,043	0.482	-3	-565	40	Louis	4,693	0.460	-1	-441
41	Carolyn	5,042	0.482	5	456	41	Earl	4,376	0.429	0	-444
42	Geraldine	4,960	0.474	0	-377	42	Daniel	4,312	0.423	0	-137
43	Ruby	4,943	0.473	-5	-526	43	Clarence	4,280	0.420	-3	-613
44	Catherine	4,908	0.469	-5	-539	44	Marvin	4,131	0.405	2	-57
45	June	4,678	0.447	-1	-166	45	Francis	4,093	0.401	-2	-295
46	Irene	4,506	0.431	-3	-696	46	Anthony	3,974	0.390	-1	-247
47	Jane	4,377	0.418	2	30	47	Leonard	3,955	0.388	1	-147
48	Wanda	4,268	0.408	4	7	48	Roger	3,916	0.384	2	130
49	Florence	4,077	0.390	-2	-463	49	Herbert	3,683	0.361	-5	-685
50	Marlene	4,044	0.387	28	824	50	Ernest	3,675	0.360	-3	-490

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.