Top 1000 Most Popular U.S. Baby Names Of 1930

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1930 Popular Names U.S. - Top 1000 Baby Names
				Change from 1929						Change from 1929
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Mary	64,146	5.499	0	638	1	Robert	62,149	5.502	0	2,351
2	Betty	38,234	3.278	0	1,559	2	James	53,941	4.776	0	1,814
3	Dorothy	30,409	2.607	0	-1,068	3	John	52,434	4.642	0	321
4	Helen	19,914	1.707	0	-1,071	4	William	47,265	4.185	0	-540
5	Margaret	18,354	1.573	0	-852	5	Richard	32,183	2.849	1	2,614
6	Barbara	18,281	1.567	1	2,244	6	Charles	31,871	2.822	-1	1,940
7	Patricia	15,751	1.350	3	2,126	7	Donald	29,048	2.572	0	1,862
8	Joan	15,479	1.327	5	3,814	8	George	22,784	2.017	0	-233
9	Doris	15,464	1.326	-3	-1,032	9	Joseph	20,981	1.858	0	-181
10	Ruth	14,940	1.281	-2	-1,079	10	Edward	17,349	1.536	0	123
11	Shirley	14,776	1.267	-2	197	11	Thomas	17,014	1.506	0	737
12	Virginia	13,198	1.131	-1	-36	12	Paul	12,957	1.147	1	525
13	Dolores	12,838	1.101	1	1,334	13	Frank	12,541	1.110	-1	-421
14	Jean	11,985	1.027	-2	118	14	Jack	12,429	1.100	0	261
15	Elizabeth	10,996	0.943	0	-254	15	David	12,276	1.087	2	978
16	Frances	10,646	0.913	0	-446	16	Raymond	11,716	1.037	-1	-186
17	Lois	10,114	0.867	0	-180	17	Kenneth	11,701	1.036	1	859
18	Joyce	9,659	0.828	5	1,062	18	Harold	11,660	1.032	-2	-12
19	Evelyn	9,537	0.818	0	-345	19	Walter	9,729	0.861	0	-119
20	Alice	9,516	0.816	1	37	20	Billy	9,285	0.822	3	965
21	Mildred	9,352	0.802	-3	-902	21	Eugene	9,031	0.800	-1	-15
22	Marilyn	9,288	0.796	11	2,561	22	Henry	8,591	0.761	-1	18
23	Anna	9,079	0.778	-3	-672	23	Arthur	8,280	0.733	-1	-193
24	Nancy	9,070	0.778	8	2,199	24	Albert	7,943	0.703	0	-134
25	Norma	8,511	0.730	0	617	25	Ralph	7,637	0.676	1	-74
26	Marie	8,427	0.722	-4	-732	26	Carl	6,952	0.616	2	58
27	Martha	7,832	0.671	0	193	27	Joe	6,877	0.609	3	282
28	Phyllis	7,770	0.666	-4	-226	28	Harry	6,849	0.606	-1	-292
29	Rose	7,690	0.659	-3	-96	29	Willie	6,667	0.590	0	53
30	Gloria	7,604	0.652	-2	64	30	Gerald	6,483	0.574	3	518
31	Louise	6,942	0.595	0	38	31	Howard	6,342	0.561	0	330
32	Marjorie	6,633	0.569	-2	-353	32	Fred	6,047	0.535	2	188
33	Irene	6,463	0.554	-4	-576	33	Roy	5,916	0.524	2	103
34	Beverly	6,456	0.553	5	594	34	Louis	5,809	0.514	-2	-185
35	Catherine	6,298	0.540	-1	22	35	Herbert	5,673	0.502	-10	-2,200
36	Ruby	5,993	0.514	0	-157	36	Lawrence	5,636	0.499	2	330
37	Donna	5,979	0.513	10	839	37	Ronald	5,635	0.499	8	1,157
38	Florence	5,865	0.503	-3	-347	38	Earl	5,565	0.493	-2	-176
39	Eleanor	5,822	0.499	-1	-44	39	Clarence	5,496	0.487	-2	-234
40	Annie	5,754	0.493	-3	-198	40	Norman	5,296	0.469	0	139
41	Ann	5,532	0.474	5	360	41	Bobby	5,183	0.459	9	1,260
42	Rita	5,468	0.469	10	702	42	Francis	4,989	0.442	-3	-282
43	Geraldine	5,449	0.467	0	114	43	Ernest	4,786	0.424	0	32
44	Lillian	5,448	0.467	-4	-263	44	Anthony	4,677	0.414	0	-56
45	Thelma	5,248	0.450	-4	-229	45	Leonard	4,661	0.413	-3	-166
46	Lorraine	5,166	0.443	-4	-187	46	Alfred	4,554	0.403	-5	-378
47	June	5,095	0.437	1	2	47	Daniel	4,465	0.395	0	96
48	Gladys	5,064	0.434	-4	-264	48	Marvin	4,402	0.390	-2	12
49	Josephine	4,988	0.428	-4	-310	49	Stanley	4,384	0.388	-1	119
50	Theresa	4,781	0.410	-1	-287	50	Melvin	4,048	0.358	-1	-51

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.