Top 100 Most Popular U.S. Baby Names Of 2003

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2003 Popular Names U.S. - Top 100 Baby Names
				Change from 2002						Change from 2002
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Emily	25,691	1.281	0	1,227	1	Jacob	29,638	1.411	0	-936
2	Emma	22,706	1.132	2	6,166	2	Michael	27,121	1.291	0	-1,124
3	Madison	20,199	1.007	-1	-1,574	3	Joshua	25,095	1.195	0	-898
4	Hannah	17,637	0.879	-1	-1,185	4	Matthew	24,001	1.143	0	-1,152
5	Olivia	16,148	0.805	5	1,519	5	Andrew	22,153	1.055	1	134
6	Abigail	15,928	0.794	1	630	6	Joseph	21,367	1.017	1	-528
7	Alexis	14,867	0.741	-2	-769	7	Ethan	21,357	1.017	-2	-752
8	Ashley	14,514	0.724	-2	-830	8	Daniel	21,039	1.002	2	-277
9	Elizabeth	14,103	0.703	2	-501	9	Christopher	20,749	0.988	-1	-935
10	Samantha	13,867	0.691	-1	-799	10	Anthony	20,145	0.959	2	559
11	Isabella	13,776	0.687	3	1,609	11	William	19,990	0.952	0	-134
12	Sarah	13,760	0.686	-4	-1,000	12	Nicholas	19,693	0.938	-3	-1,697
13	Grace	12,777	0.637	2	721	13	Ryan	19,573	0.932	3	1,913
14	Alyssa	12,749	0.636	-2	-95	14	David	18,616	0.886	-1	-59
15	Lauren	11,050	0.551	-2	-1,275	15	Tyler	18,181	0.866	-1	-84
16	Kayla	10,953	0.546	3	-357	16	Alexander	17,709	0.843	-1	-5
17	Brianna	10,584	0.528	0	-935	17	John	17,232	0.820	0	-223
18	Jessica	10,449	0.521	-2	-1,469	18	James	16,892	0.804	0	-67
19	Taylor	10,308	0.514	-1	-1,159	19	Dylan	15,701	0.748	4	881
20	Sophia	9,684	0.483	7	1,020	20	Zachary	15,539	0.740	-1	-1,083
21	Anna	9,447	0.471	-1	-941	21	Brandon	15,240	0.726	-1	-1,037
22	Victoria	9,244	0.461	-1	-540	22	Jonathan	14,987	0.714	-1	-524
23	Natalie	9,150	0.456	7	800	23	Samuel	14,665	0.698	2	105
24	Chloe	9,080	0.453	1	180	24	Benjamin	14,073	0.670	3	591
25	Sydney	8,911	0.444	-2	-123	25	Christian	13,900	0.662	-1	-694
26	Hailey	8,794	0.438	5	803	26	Nathan	13,660	0.650	2	440
27	Jasmine	8,063	0.402	-1	-804	27	Justin	13,651	0.650	-5	-1,252
28	Rachel	7,981	0.398	-4	-946	28	Logan	13,185	0.628	1	213
29	Morgan	7,927	0.395	0	-505	29	Gabriel	12,519	0.596	3	465
30	Megan	7,799	0.389	-8	-1,411	30	Jose	12,392	0.590	0	-469
31	Jennifer	7,565	0.377	-3	-972	31	Noah	11,835	0.563	0	-232
32	Kaitlyn	7,546	0.376	0	-434	32	Kevin	11,731	0.559	1	-312
33	Julia	7,434	0.371	0	-529	33	Austin	11,688	0.556	-7	-2,852
34	Haley	7,196	0.359	1	-260	34	Caleb	11,639	0.554	1	-21
35	Katherine	7,125	0.355	1	-87	35	Robert	11,393	0.542	-1	-634
36	Mia	7,082	0.353	7	823	36	Thomas	10,932	0.520	0	-359
37	Destiny	6,976	0.348	-3	-825	37	Elijah	10,661	0.508	4	611
38	Alexandra	6,544	0.326	0	-392	38	Jordan	10,329	0.492	-1	-822
39	Ava	6,280	0.313	43	2,529	39	Aidan	10,063	0.479	21	3,111
40	Nicole	6,230	0.311	-3	-744	40	Cameron	9,962	0.474	-1	-375
41	Savannah	6,153	0.307	-2	-428	41	Hunter	9,900	0.471	-3	-1,183
42	Maria	6,089	0.304	-2	-293	42	Jason	9,821	0.468	0	-133
43	Brooke	5,970	0.298	9	631	43	Connor	9,669	0.460	4	1,259
44	Ella	5,903	0.294	45	2,342	44	Evan	9,444	0.450	12	2,060
45	Mackenzie	5,865	0.292	-4	-403	45	Jack	9,316	0.444	-1	318
46	Allison	5,850	0.292	-2	-390	46	Luke	9,301	0.443	0	609
47	Paige	5,756	0.287	3	289	47	Angel	9,157	0.436	2	971
48	Jordan	5,650	0.282	-3	-501	48	Isaac	8,937	0.426	0	629
49	Stephanie	5,602	0.279	-7	-665	49	Isaiah	8,894	0.423	-4	-70
50	Faith	5,595	0.279	-2	71	50	Aaron	8,867	0.422	-7	-135

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.