Top 100 Most Popular U.S. Baby Names Of 1881

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1881 Popular Names U.S. - Top 100 Baby Names
				Change to 2018						Change to 2018
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Mary	6,919	6.999	-125	-4,592	1	John	8,769	8.098	-26	350
2	Anna	2,698	2.729	-52	1,447	2	William	8,524	7.872	-1	5,992
3	Emma	2,034	2.058	2	16,654	3	James	5,441	5.025	-1	8,084
4	Elizabeth	1,852	1.873	-9	6,661	4	George	4,664	4.307	-123	-1,605
5	Margaret	1,658	1.677	-122	654	5	Charles	4,636	4.281	-47	1,968
6	Minnie	1,653	1.672	-2,613	-1,587	6	Frank	2,834	2.617	-386	-2,031
7	Ida	1,439	1.456	-1,214	-1,249	7	Joseph	2,456	2.268	-16	7,099
8	Annie	1,326	1.341	-300	-246	8	Henry	2,339	2.160	-8	8,310
9	Bertha	1,324	1.339	-4,750	-1,296	9	Thomas	2,282	2.107	-40	4,497
10	Alice	1,308	1.323	-61	2,335	10	Edward	2,177	2.010	-159	91
11	Clara	1,242	1.256	-92	1,635	11	Robert	2,140	1.976	-60	3,000
12	Sarah	1,226	1.240	-55	2,508	12	Harry	2,002	1.849	-608	-1,575
13	Ella	1,148	1.161	-2	6,907	13	Walter	1,670	1.542	-258	-367
14	Nellie	1,096	1.109	-1,057	-860	14	Arthur	1,575	1.455	-216	67
15	Grace	1,089	1.102	-9	5,635	15	Fred	1,418	1.310	-1,635	-1,321
16	Florence	1,046	1.058	-955	-777	16	Albert	1,319	1.218	-436	-662
17	Martha	1,044	1.056	-780	-703	17	Samuel	919	0.849	-4	8,815
18	Cora	969	0.980	-55	2,605	18	David	750	0.693	-4	8,947
19	Laura	962	0.973	-321	-27	19	Louis	746	0.689	-244	622
20	Carrie	958	0.969	-1,748	-843	20	Charlie	668	0.617	-198	1,048
21	Maude	923	0.934	-5,204	-898	21	Clarence	668	0.617	-1,095	-496
22	Bessie	903	0.913	-10,603	-894	22	Richard	641	0.592	-166	1,478
23	Mabel	893	0.903	-413	-171	23	Joe	639	0.590	-672	-294
24	Gertrude	791	0.800	-5,462	-768	24	Andrew	588	0.543	-19	6,646
25	Ethel	788	0.797	-4,331	-756	25	Ernest	571	0.527	-953	-361
26	Jennie	784	0.793	-3,418	-739	26	Will	550	0.508	-866	-308
27	Edith	778	0.787	-491	-179	27	Jesse	536	0.495	-158	1,590
28	Hattie	775	0.784	-467	-151	28	Oscar	530	0.489	-178	1,415
29	Mattie	754	0.763	-1,028	-514	29	Daniel	527	0.487	14	10,646
30	Julia	737	0.746	-63	2,252	30	Willie	498	0.460	-904	-274
31	Rose	734	0.743	-92	1,698	31	Benjamin	481	0.444	25	12,900
32	Lillian	723	0.731	-2	4,811	32	Sam	481	0.444	-571	-30
33	Lillie	678	0.686	-635	-239	33	Alfred	466	0.430	-839	-217
34	Eva	661	0.669	-41	2,881	34	Roy	440	0.406	-508	74
35	Jessie	661	0.669	-621	-214	35	Lewis	439	0.405	-511	67
36	Lula	655	0.663	-1,824	-547	36	Frederick	433	0.400	-460	142
37	Myrtle	643	0.650	OLD	-643	37	Peter	428	0.395	-174	1,384
38	Pearl	641	0.648	-609	-186	38	Elmer	388	0.358	-1,221	-243
39	Edna	637	0.644	-1,698	-520	39	Jacob	381	0.352	26	11,389
40	Catherine	635	0.642	-164	863	40	Herbert	369	0.341	-1,987	-298
41	Ada	628	0.635	-210	660	41	Carl	359	0.332	-659	-17
42	Louise	617	0.624	-758	-278	42	Howard	359	0.332	-926	-146
43	Helen	612	0.619	-370	133	43	Tom	349	0.322	-2,087	-283
44	Lucy	611	0.618	-7	3,743	44	Lee	342	0.316	-645	8
45	Frances	586	0.593	-400	129	45	Ralph	329	0.304	-906	-112
46	Dora	585	0.592	-2,385	-512	46	Martin	327	0.302	-226	959
47	Fannie	565	0.572	-2,856	-508	47	Jim	323	0.298	-2,950	-284
48	Josephine	563	0.570	-43	2,460	48	Earl	314	0.290	-1,616	-219
49	Daisy	562	0.569	-120	1,140	49	Eugene	314	0.290	-813	-62
50	Lena	555	0.561	-251	539	50	Bert	312	0.288	-7,074	-301

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.