Top 100 Most Popular U.S. Baby Names Of 1880

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1880 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	7,065	7.238	-125	-4,738	1	John	9,655	8.155	-26	-536
2	Anna	2,604	2.668	-52	1,541	2	William	9,532	8.051	-1	4,984
3	Emma	2,003	2.052	2	16,685	3	James	5,927	5.006	-1	7,598
4	Elizabeth	1,939	1.987	-9	6,574	4	Charles	5,348	4.517	-48	1,256
5	Minnie	1,746	1.789	-2,614	-1,680	5	George	5,126	4.329	-122	-2,067
6	Margaret	1,578	1.617	-121	734	6	Frank	3,242	2.738	-386	-2,439
7	Ida	1,472	1.508	-1,214	-1,282	7	Joseph	2,632	2.223	-16	6,923
8	Alice	1,414	1.449	-63	2,229	8	Thomas	2,534	2.140	-41	4,245
9	Bertha	1,320	1.352	-4,750	-1,292	9	Henry	2,444	2.064	-7	8,205
10	Sarah	1,288	1.320	-57	2,446	10	Robert	2,415	2.040	-61	2,725
11	Annie	1,258	1.289	-297	-178	11	Edward	2,364	1.997	-158	-96
12	Clara	1,226	1.256	-91	1,651	12	Harry	2,152	1.818	-608	-1,725
13	Ella	1,156	1.184	-2	6,899	13	Walter	1,755	1.482	-258	-452
14	Florence	1,063	1.089	-957	-794	14	Arthur	1,599	1.351	-216	43
15	Cora	1,045	1.071	-58	2,529	15	Fred	1,569	1.325	-1,635	-1,472
16	Martha	1,040	1.066	-781	-699	16	Albert	1,493	1.261	-436	-836
17	Laura	1,012	1.037	-323	-77	17	Samuel	1,024	0.865	-4	8,710
18	Nellie	995	1.019	-1,053	-759	18	David	869	0.734	-4	8,828
19	Grace	982	1.006	-5	5,742	19	Louis	828	0.699	-244	540
20	Carrie	949	0.972	-1,748	-834	20	Joe	731	0.617	-675	-386
21	Maude	859	0.880	-5,204	-834	21	Charlie	730	0.617	-197	986
22	Mabel	808	0.828	-414	-86	22	Clarence	730	0.617	-1,094	-558
23	Bessie	796	0.816	-10,602	-787	23	Richard	728	0.615	-165	1,391
24	Jennie	793	0.812	-3,420	-748	24	Andrew	644	0.544	-19	6,590
25	Gertrude	787	0.806	-5,461	-764	25	Daniel	643	0.543	10	10,530
26	Julia	783	0.802	-67	2,206	26	Ernest	615	0.519	-952	-405
27	Hattie	769	0.788	-468	-145	27	Will	588	0.497	-865	-346
28	Edith	768	0.787	-490	-169	28	Jesse	569	0.481	-157	1,557
29	Mattie	704	0.721	-1,028	-464	29	Oscar	544	0.459	-177	1,401
30	Rose	700	0.717	-93	1,732	30	Lewis	517	0.437	-516	-11
31	Catherine	688	0.705	-173	810	31	Peter	496	0.419	-180	1,316
32	Lillian	672	0.688	-2	4,862	32	Benjamin	490	0.414	26	12,891
33	Ada	652	0.668	-218	636	33	Frederick	483	0.408	-463	92
34	Lillie	647	0.663	-634	-208	34	Willie	476	0.402	-900	-252
35	Helen	636	0.652	-378	109	35	Alfred	469	0.396	-837	-220
36	Jessie	635	0.651	-620	-188	36	Sam	457	0.386	-567	-6
37	Louise	635	0.651	-763	-296	37	Roy	440	0.372	-505	74
38	Ethel	633	0.649	-4,318	-601	38	Herbert	424	0.358	-1,989	-353
39	Lula	621	0.636	-1,821	-513	39	Jacob	404	0.341	26	11,366
40	Myrtle	615	0.630	OLD	-615	40	Tom	399	0.337	-2,090	-333
41	Eva	614	0.629	-34	2,928	41	Elmer	373	0.315	-1,218	-228
42	Frances	605	0.620	-403	110	42	Carl	372	0.314	-658	-30
43	Lena	603	0.618	-258	491	43	Lee	361	0.305	-646	-11
44	Lucy	590	0.604	-7	3,764	44	Howard	357	0.302	-924	-144
45	Edna	588	0.602	-1,692	-471	45	Martin	357	0.302	-227	929
46	Maggie	582	0.596	-246	540	46	Michael	354	0.299	32	11,266
47	Pearl	569	0.583	-600	-114	47	Bert	348	0.294	-7,077	-337
48	Daisy	564	0.578	-121	1,138	48	Herman	347	0.293	-2,184	-286
49	Fannie	560	0.574	-2,854	-503	49	Jim	345	0.291	-2,948	-306
50	Josephine	544	0.557	-41	2,479	50	Francis	344	0.291	-430	262

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.