Top 1000 Most Popular U.S. Baby Names Of 1926

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1926 Popular Names U.S. - Top 1000 Baby Names
				Change from 1925						Change from 1925
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Mary	67,832	5.514	0	-2,759	1	Robert	61,130	5.337	0	233
2	Dorothy	36,617	2.977	0	-1,953	2	John	56,110	4.898	0	-1,089
3	Betty	32,964	2.680	0	151	3	James	53,209	4.645	1	527
4	Helen	26,884	2.185	0	-2,288	4	William	51,920	4.533	-1	-1,384
5	Margaret	23,070	1.875	0	-1,393	5	Charles	29,521	2.577	0	-61
6	Ruth	20,223	1.644	0	-2,025	6	George	25,904	2.261	0	-662
7	Doris	16,298	1.325	1	224	7	Richard	25,149	2.195	1	1,881
8	Virginia	16,162	1.314	-1	-1,327	8	Joseph	23,759	2.074	-1	-854
9	Mildred	13,551	1.102	0	-900	9	Donald	20,912	1.826	1	1,721
10	Frances	13,355	1.086	1	-470	10	Edward	19,378	1.692	-1	-711
11	Elizabeth	12,835	1.043	-1	-1,100	11	Thomas	16,598	1.449	0	-91
12	Jean	12,168	0.989	2	571	12	Frank	14,494	1.265	0	-834
13	Evelyn	11,780	0.958	-1	-725	13	Paul	13,656	1.192	0	-519
14	Shirley	11,761	0.956	3	1,248	14	Harold	13,311	1.162	0	-285
15	Anna	11,698	0.951	-2	-552	15	Raymond	12,807	1.118	0	362
16	Barbara	11,080	0.901	6	1,925	16	Jack	12,200	1.065	1	192
17	Alice	10,956	0.891	-2	-618	17	Walter	11,772	1.028	-1	-360
18	Marie	10,632	0.864	-2	-298	18	Kenneth	10,341	0.903	1	192
19	Lois	9,819	0.798	-1	246	19	Henry	10,001	0.873	-1	-613
20	Gloria	9,196	0.748	0	-184	20	Arthur	9,467	0.826	0	-519
21	Irene	9,168	0.745	-2	-272	21	Albert	9,144	0.798	0	-369
22	Marjorie	8,640	0.702	-1	-667	22	David	9,038	0.789	0	119
23	Patricia	8,589	0.698	5	494	23	Eugene	9,014	0.787	1	498
24	Martha	8,554	0.695	-1	-212	24	Ralph	8,454	0.738	1	-13
25	Rose	8,509	0.692	1	231	25	Harry	8,214	0.717	-2	-396
26	Florence	8,180	0.665	-2	-405	26	Carl	6,940	0.606	2	-118
27	Louise	7,983	0.649	0	-290	27	Howard	6,838	0.597	-1	-329
28	Lillian	7,662	0.623	-3	-688	28	Willie	6,820	0.595	-1	-304
29	Norma	7,528	0.612	5	586	29	Clarence	6,540	0.571	1	-129
30	Ruby	7,473	0.607	0	-371	30	Louis	6,512	0.568	-1	-287
31	Catherine	7,468	0.607	-2	-399	31	Fred	6,446	0.563	2	240
32	Eleanor	7,305	0.594	-1	-419	32	Earl	6,444	0.563	-1	7
33	Phyllis	6,920	0.563	7	434	33	Joe	6,336	0.553	1	229
34	Annie	6,876	0.559	-2	-475	34	Roy	6,227	0.544	-2	-149
35	Gladys	6,633	0.539	-2	-599	35	Francis	5,789	0.505	0	-189
36	Thelma	6,583	0.535	-1	-240	36	Lawrence	5,582	0.487	0	-51
37	Josephine	6,407	0.521	-1	-402	37	Ernest	5,438	0.475	0	-54
38	Edna	6,395	0.520	-1	-387	38	Leonard	5,402	0.472	0	-63
39	Pauline	6,356	0.517	-1	-373	39	Norman	5,287	0.462	2	311
40	June	6,076	0.494	-1	-573	40	Billy	5,180	0.452	9	972
41	Ethel	5,858	0.476	2	-317	41	Gerald	5,122	0.447	4	616
42	Edith	5,788	0.471	0	-487	42	Anthony	5,060	0.442	-3	20
43	Lucille	5,760	0.468	-2	-637	43	Stanley	4,964	0.433	-3	-67
44	Joyce	5,704	0.464	15	1,339	44	Herbert	4,938	0.431	-2	14
45	Bernice	5,443	0.442	1	-285	45	Alfred	4,732	0.413	-2	-63
46	Grace	5,427	0.441	-2	-557	46	Daniel	4,515	0.394	-2	-35
47	Marion	5,354	0.435	0	-222	47	Melvin	4,194	0.366	3	48
48	Hazel	5,302	0.431	-3	-477	48	Samuel	4,179	0.365	-2	-226
49	Dolores	5,217	0.424	15	1,072	49	Bernard	4,172	0.364	-1	-86
50	Rita	5,014	0.408	-2	-309	50	Marvin	4,112	0.359	1	21

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.