Top 1000 Most Popular U.S. Baby Names Of 1922

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1922 Popular Names U.S. - Top 1000 Baby Names
				Change from 1921						Change from 1921
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Mary	72,173	5.785	0	-1,812	1	John	57,277	5.090	0	-940
2	Dorothy	37,716	3.023	0	-1,371	2	Robert	53,793	4.781	0	1,009
3	Helen	32,508	2.606	0	-2,314	3	William	51,116	4.543	0	-744
4	Margaret	26,865	2.153	0	-1,602	4	James	49,801	4.426	0	53
5	Ruth	23,630	1.894	0	-2,154	5	Charles	28,842	2.563	0	-402
6	Betty	20,895	1.675	2	3,257	6	George	27,351	2.431	0	-125
7	Virginia	19,146	1.535	-1	113	7	Joseph	25,699	2.284	0	-480
8	Mildred	16,412	1.316	-1	-1,469	8	Edward	20,419	1.815	0	-399
9	Elizabeth	15,242	1.222	1	-558	9	Richard	17,539	1.559	1	1,163
10	Frances	15,053	1.207	-1	-940	10	Frank	16,014	1.423	-1	-694
11	Doris	13,798	1.106	2	646	11	Thomas	15,263	1.356	0	-44
12	Anna	13,405	1.074	-1	-1,072	12	Donald	14,915	1.326	1	1,139
13	Evelyn	13,318	1.068	-1	-960	13	Harold	13,593	1.208	-1	-218
14	Marie	11,912	0.955	0	-589	14	Paul	12,924	1.149	0	-244
15	Alice	11,277	0.904	0	-679	15	Walter	12,631	1.123	0	-374
16	Marjorie	10,385	0.832	0	-824	16	Raymond	12,130	1.078	0	-514
17	Irene	10,173	0.815	1	-451	17	Henry	11,207	0.996	0	-205
18	Florence	10,035	0.804	-1	-684	18	Jack	10,846	0.964	0	89
19	Lillian	9,429	0.756	0	-341	19	Arthur	10,115	0.899	0	-412
20	Jean	9,108	0.730	5	515	20	Albert	9,894	0.879	0	-264
21	Martha	9,021	0.723	0	-243	21	Kenneth	9,260	0.823	1	301
22	Louise	8,886	0.712	0	-294	22	Harry	9,079	0.807	-1	-652
23	Rose	8,790	0.705	-3	-562	23	Ralph	8,485	0.754	0	-375
24	Catherine	8,538	0.684	-1	-349	24	David	7,866	0.699	1	99
25	Gladys	8,042	0.645	-1	-771	25	Eugene	7,849	0.698	1	132
26	Ruby	8,003	0.641	0	-330	26	Howard	7,296	0.648	1	-417
27	Josephine	7,865	0.630	1	-268	27	Louis	7,097	0.631	2	-150
28	Eleanor	7,852	0.629	1	-201	28	Willie	6,906	0.614	6	417
29	Edna	7,621	0.611	-2	-682	29	Clarence	6,861	0.610	-1	-471
30	Annie	7,475	0.599	6	267	30	Carl	6,691	0.595	0	-386
31	Thelma	7,254	0.581	-1	-585	31	Earl	6,460	0.574	0	-295
32	Ethel	7,245	0.581	0	-358	32	Roy	6,458	0.574	0	-87
33	Lucille	7,150	0.573	-2	-548	33	Fred	6,245	0.555	0	-249
34	Edith	7,136	0.572	-1	-453	34	Francis	6,148	0.546	1	-145
35	Lois	6,946	0.557	3	47	35	Joe	6,091	0.541	1	-112
36	Pauline	6,811	0.546	1	-331	36	Lawrence	5,786	0.514	1	-191
37	Hazel	6,758	0.542	-3	-583	37	Ernest	5,502	0.489	1	-196
38	Grace	6,743	0.540	-3	-487	38	Leonard	5,407	0.481	1	-244
39	Shirley	6,408	0.514	5	714	39	Anthony	5,093	0.453	1	-144
40	Barbara	6,273	0.503	0	259	40	Herbert	5,047	0.449	2	-171
41	Bernice	5,912	0.474	-2	-278	41	Stanley	5,044	0.448	0	-189
42	Marion	5,667	0.454	1	-147	42	Alfred	4,832	0.429	1	-93
43	Beatrice	5,476	0.439	-2	-492	43	Samuel	4,600	0.409	1	-155
44	Esther	5,475	0.439	-2	-450	44	Norman	4,526	0.402	2	47
45	June	5,382	0.431	5	227	45	Warren	4,484	0.398	-21	-3,313
46	Norma	5,237	0.420	5	136	46	Bernard	4,409	0.392	-1	-75
47	Clara	5,126	0.411	-2	-480	47	Daniel	4,284	0.381	2	196
48	Gertrude	5,082	0.407	-2	-267	48	Michael	3,991	0.355	-1	-207
49	Ann	5,054	0.405	4	-4	49	Russell	3,966	0.352	3	20
50	Emma	5,013	0.402	2	-60	50	Melvin	3,908	0.347	3	22

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.