Top 1000 Most Popular U.S. Baby Names Of 2005

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2005 Popular Names U.S. - Top 1000 Baby Names
				Change from 2004						Change from 2004
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Emily	23,940	1.180	0	-1,097	1	Jacob	25,833	1.215	0	-2,048
2	Emma	20,344	1.003	0	-1,263	2	Michael	23,815	1.120	0	-1,643
3	Madison	19,568	0.965	0	-1,054	3	Joshua	23,250	1.093	0	-954
4	Abigail	15,749	0.776	2	323	4	Matthew	21,468	1.010	0	-1,406
5	Olivia	15,693	0.774	-1	-412	5	Ethan	21,312	1.002	0	-894
6	Isabella	15,186	0.749	1	169	6	Andrew	20,730	0.975	0	-973
7	Hannah	14,845	0.732	-2	-760	7	Daniel	20,211	0.951	0	-772
8	Samantha	13,638	0.672	1	-145	8	Anthony	19,379	0.911	3	-225
9	Ava	13,605	0.671	16	4,961	9	Joseph	19,217	0.904	0	-908
10	Ashley	13,274	0.654	-2	-1,099	10	Christopher	19,168	0.901	0	-462
11	Elizabeth	12,731	0.628	-1	-830	11	William	19,052	0.896	-3	-1,173
12	Sophia	12,671	0.625	3	1,756	12	Alexander	18,121	0.852	3	198
13	Alexis	11,972	0.590	-2	-1,499	13	David	18,118	0.852	1	-271
14	Grace	11,861	0.585	-1	-672	14	Ryan	17,985	0.846	-2	-1,508
15	Sarah	11,532	0.569	-3	-1,205	15	Nicholas	17,072	0.803	-2	-1,443
16	Alyssa	10,890	0.537	-2	-1,215	16	Tyler	16,986	0.799	0	-458
17	Mia	10,843	0.535	13	3,446	17	James	16,135	0.759	0	-328
18	Natalie	10,736	0.529	1	1,049	18	John	15,768	0.742	0	-681
19	Chloe	9,595	0.473	4	868	19	Jonathan	14,438	0.679	2	73
20	Brianna	9,362	0.462	-3	-440	20	Nathan	14,358	0.675	0	-269
21	Lauren	9,247	0.456	-5	-734	21	Samuel	14,251	0.670	2	145
22	Anna	9,102	0.449	-2	-413	22	Christian	14,205	0.668	2	284
23	Ella	9,065	0.447	6	824	23	Noah	13,892	0.653	6	1,988
24	Taylor	8,672	0.428	-2	-631	24	Dylan	13,773	0.648	-5	-1,075
25	Kayla	8,616	0.425	-7	-1,152	25	Benjamin	13,573	0.638	0	-245
26	Hailey	8,589	0.423	-2	-95	26	Logan	13,471	0.634	1	331
27	Jessica	8,112	0.400	-6	-1,358	27	Brandon	12,944	0.609	-5	-1,188
28	Victoria	7,956	0.392	0	-320	28	Gabriel	12,754	0.600	4	1,198
29	Jasmine	7,866	0.388	-3	-620	29	Zachary	12,284	0.578	-3	-1,427
30	Sydney	7,376	0.364	-3	-989	30	Jose	12,064	0.567	-2	-116
31	Julia	7,085	0.349	1	-61	31	Elijah	11,606	0.546	0	-103
32	Destiny	6,887	0.340	6	341	32	Angel	10,985	0.517	12	1,472
33	Morgan	6,749	0.333	-2	-546	33	Kevin	10,910	0.513	1	-307
34	Kaitlyn	6,521	0.321	-1	-466	34	Jack	10,904	0.513	8	1,326
35	Savannah	6,481	0.320	6	668	35	Caleb	10,893	0.512	-2	-409
36	Katherine	6,391	0.315	-1	-347	36	Justin	10,512	0.494	-6	-1,363
37	Alexandra	6,317	0.311	0	-306	37	Robert	10,160	0.478	-1	-518
38	Rachel	6,213	0.306	-4	-702	38	Austin	10,111	0.476	-3	-633
39	Lily	6,088	0.300	14	687	39	Evan	10,106	0.475	0	126
40	Kaylee	5,866	0.289	10	424	40	Thomas	10,037	0.472	-3	-461
41	Megan	5,856	0.289	-5	-831	41	Luke	10,008	0.471	0	415
42	Jennifer	5,836	0.288	-3	-706	42	Mason	9,768	0.459	9	1,151
43	Angelina	5,811	0.286	17	898	43	Aidan	9,758	0.459	-3	-64
44	Makayla	5,724	0.282	3	61	44	Jackson	9,579	0.451	4	602
45	Allison	5,634	0.278	-5	-238	45	Isaiah	9,520	0.448	0	264
46	Maria	5,595	0.276	-4	-158	46	Jordan	9,396	0.442	-3	-159
47	Brooke	5,567	0.274	-1	-145	47	Gavin	9,338	0.439	5	730
48	Trinity	5,450	0.269	0	-184	48	Connor	9,319	0.438	-10	-728
49	Faith	5,248	0.259	3	-169	49	Isaac	9,122	0.429	-3	-54
50	Lillian	5,213	0.257	15	480	50	Aiden	9,083	0.427	10	1,923

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.