Top 100 Most Popular U.S. Baby Names Of 2008

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2008 Popular Names U.S. - Top 100 Baby Names
				Change from 2007						Change from 2007
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Emma	18,813	0.904	2	440	1	Jacob	22,594	1.037	0	-1,688
2	Isabella	18,616	0.894	0	-523	2	Michael	20,626	0.947	0	-1,366
3	Emily	17,434	0.838	-2	-1,921	3	Ethan	20,216	0.928	0	-813
4	Olivia	17,081	0.821	3	499	4	Joshua	19,205	0.881	0	-1,450
5	Ava	17,039	0.819	-1	-1,012	5	Daniel	19,005	0.872	0	-1,246
6	Madison	17,032	0.818	-1	-929	6	Alexander	18,697	0.858	5	560
7	Sophia	16,084	0.773	-1	-940	7	Anthony	18,397	0.844	0	-1,230
8	Abigail	15,082	0.725	0	-388	8	William	18,391	0.844	0	-491
9	Elizabeth	12,008	0.577	1	-1,048	9	Christopher	17,947	0.824	-3	-2,071
10	Chloe	11,824	0.568	6	1,076	10	Matthew	17,580	0.807	-1	-1,159
11	Samantha	11,182	0.537	1	-698	11	Jayden	17,151	0.787	7	1,907
12	Addison	10,761	0.517	-1	-1,185	12	Andrew	16,760	0.769	-2	-1,689
13	Natalie	10,201	0.490	4	-236	13	Joseph	16,575	0.761	0	-763
14	Mia	10,169	0.489	1	-750	14	David	16,324	0.749	-2	-1,219
15	Alexis	9,726	0.467	4	-188	15	Noah	15,787	0.725	-1	-805
16	Alyssa	9,643	0.463	-2	-1,620	16	Aiden	15,579	0.715	11	2,475
17	Hannah	9,563	0.459	-8	-3,749	17	James	15,178	0.697	-2	-784
18	Ashley	9,403	0.452	-5	-2,022	18	Ryan	14,681	0.674	-2	-1,035
19	Ella	9,352	0.449	2	-193	19	Logan	13,853	0.636	-2	-1,473
20	Sarah	9,045	0.435	-2	-947	20	John	13,315	0.611	-1	-1,117
21	Grace	9,036	0.434	-1	-727	21	Nathan	13,254	0.608	3	-337
22	Taylor	8,335	0.400	2	374	22	Elijah	13,228	0.607	8	819
23	Brianna	8,259	0.397	-1	-592	23	Christian	13,058	0.599	-1	-998
24	Lily	8,118	0.390	3	621	24	Gabriel	13,032	0.598	4	128
25	Hailey	7,867	0.378	-2	-568	25	Benjamin	12,949	0.594	1	-326
26	Anna	7,266	0.349	-1	-627	26	Jonathan	12,886	0.591	-3	-907
27	Victoria	7,119	0.342	2	-312	27	Samuel	12,754	0.585	-2	-600
28	Kayla	6,834	0.328	-2	-742	28	Tyler	12,700	0.583	-7	-1,391
29	Lillian	6,810	0.327	4	261	29	Nicholas	12,524	0.575	-9	-1,834
30	Lauren	6,450	0.310	-2	-985	30	Gavin	11,744	0.539	2	-116
31	Kaylee	6,293	0.302	5	250	31	Dylan	11,700	0.537	-2	-1,110
32	Allison	6,239	0.300	14	786	32	Jackson	11,636	0.534	1	-27
33	Savannah	6,124	0.294	-3	-924	33	Brandon	11,472	0.527	-2	-665
34	Nevaeh	6,105	0.293	-3	-704	34	Caleb	10,569	0.485	2	-377
35	Gabriella	6,028	0.290	3	189	35	Mason	10,483	0.481	2	-284
36	Sofia	5,983	0.287	-1	-63	36	Angel	10,352	0.475	-2	-1,017
37	Makayla	5,950	0.286	10	528	37	Isaac	10,019	0.460	4	-240
38	Avery	5,829	0.280	10	446	38	Evan	9,924	0.455	2	-366
39	Riley	5,768	0.277	13	559	39	Jack	9,895	0.454	-1	-775
40	Leah	5,628	0.270	27	1,078	40	Jose	9,820	0.451	-5	-1,429
41	Julia	5,616	0.270	-7	-515	41	Kevin	9,796	0.450	-2	-736
42	Aubrey	5,565	0.267	27	1,060	42	Isaiah	9,660	0.443	1	-454
43	Jasmine	5,526	0.265	-11	-1,240	43	Luke	9,418	0.432	3	-185
44	Audrey	5,440	0.261	7	191	44	Justin	9,357	0.429	1	-688
45	Katherine	5,346	0.257	-6	-471	45	Landon	9,353	0.429	4	256
46	Morgan	5,334	0.256	-3	-330	46	Lucas	9,323	0.428	7	570
47	Brooklyn	5,311	0.255	10	426	47	Zachary	9,230	0.424	-5	-983
48	Destiny	5,308	0.255	-7	-427	48	Jordan	9,089	0.417	-4	-961
49	Sydney	5,260	0.253	-12	-769	49	Robert	8,831	0.405	-2	-546
50	Alexa	5,225	0.251	-10	-559	50	Aaron	8,541	0.392	1	-397

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.