Top 100 Most Popular U.S. Baby Names Of 2009

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2009 Popular Names U.S. - Top 100 Baby Names
				Change from 2008						Change from 2008
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Isabella	22,306	1.102	1	3,690	1	Jacob	21,175	0.999	0	-1,419
2	Emma	17,895	0.884	-1	-918	2	Ethan	19,847	0.936	1	-369
3	Olivia	17,435	0.862	1	354	3	Michael	18,940	0.894	-1	-1,686
4	Sophia	16,944	0.837	3	860	4	Alexander	18,234	0.860	2	-463
5	Ava	15,873	0.784	0	-1,166	5	William	17,918	0.845	3	-473
6	Emily	15,352	0.759	-3	-2,082	6	Joshua	17,650	0.833	-2	-1,555
7	Madison	15,239	0.753	-1	-1,793	7	Daniel	17,542	0.828	-2	-1,463
8	Abigail	14,390	0.711	0	-692	8	Jayden	17,288	0.816	3	137
9	Chloe	11,909	0.589	1	85	9	Noah	17,247	0.814	6	1,460
10	Mia	11,426	0.565	4	1,257	10	Christopher	16,355	0.772	-1	-1,592
11	Elizabeth	11,035	0.545	-2	-973	11	Anthony	16,307	0.769	-4	-2,090
12	Addison	10,660	0.527	0	-101	12	Aiden	16,020	0.756	4	441
13	Alexis	9,934	0.491	2	208	13	Matthew	15,986	0.754	-3	-1,594
14	Samantha	9,660	0.477	-3	-1,522	14	David	15,440	0.729	0	-884
15	Ella	9,654	0.477	4	302	15	Joseph	14,920	0.704	-2	-1,655
16	Natalie	9,409	0.465	-3	-792	16	Andrew	14,862	0.701	-4	-1,898
17	Grace	8,314	0.411	4	-722	17	Logan	14,459	0.682	2	606
18	Lily	8,098	0.400	6	-20	18	James	14,208	0.670	-1	-970
19	Alyssa	7,966	0.394	-3	-1,677	19	Benjamin	13,115	0.619	6	166
20	Ashley	7,813	0.386	-2	-1,590	20	Ryan	13,107	0.618	-2	-1,574
21	Sarah	7,780	0.384	-1	-1,265	21	Elijah	12,828	0.605	1	-400
22	Taylor	7,583	0.375	0	-752	22	Gabriel	12,827	0.605	2	-205
23	Hannah	7,572	0.374	-6	-1,991	23	Christian	12,642	0.596	0	-416
24	Brianna	7,352	0.363	-1	-907	24	Samuel	12,152	0.573	3	-602
25	Hailey	7,317	0.362	0	-550	25	Nathan	12,121	0.572	-4	-1,133
26	Kaylee	7,213	0.356	5	920	26	Jackson	12,119	0.572	6	483
27	Lillian	6,857	0.339	2	47	27	John	12,118	0.572	-7	-1,197
28	Anna	6,804	0.336	-2	-462	28	Tyler	11,542	0.545	0	-1,158
29	Leah	6,789	0.336	11	1,161	29	Jonathan	11,373	0.537	-3	-1,513
30	Allison	6,581	0.325	2	342	30	Dylan	11,364	0.536	1	-336
31	Victoria	6,361	0.314	-4	-758	31	Caleb	10,992	0.519	3	423
32	Avery	6,298	0.311	6	469	32	Nicholas	10,850	0.512	-3	-1,674
33	Gabriella	6,145	0.304	2	117	33	Gavin	10,737	0.507	-3	-1,007
34	Nevaeh	6,107	0.302	0	2	34	Mason	10,685	0.504	1	202
35	Kayla	5,840	0.289	-7	-994	35	Evan	10,277	0.485	3	353
36	Sofia	5,694	0.281	0	-289	36	Landon	10,163	0.480	9	810
37	Brooklyn	5,664	0.280	10	353	37	Angel	9,849	0.465	-1	-503
38	Riley	5,635	0.278	1	-133	38	Brandon	9,841	0.464	-5	-1,631
39	Savannah	5,596	0.277	-6	-528	39	Lucas	9,612	0.454	7	289
40	Evelyn	5,583	0.276	14	484	40	Isaac	9,553	0.451	-3	-466
41	Aubrey	5,406	0.267	1	-159	41	Isaiah	9,240	0.436	1	-420
42	Peyton	5,313	0.263	18	581	42	Jack	9,023	0.426	-3	-872
43	Alexa	5,308	0.262	7	83	43	Jose	8,811	0.416	-3	-1,009
44	Makayla	5,264	0.260	-7	-686	44	Kevin	8,772	0.414	-3	-1,024
45	Layla	5,206	0.257	10	276	45	Jordan	8,652	0.408	3	-437
46	Lauren	5,199	0.257	-16	-1,251	46	Justin	8,624	0.407	-2	-733
47	Zoe	5,146	0.254	11	365	47	Luke	8,618	0.407	-4	-800
48	Sydney	5,058	0.250	1	-202	48	Brayden	8,596	0.406	3	160
49	Audrey	5,007	0.247	-5	-433	49	Liam	8,564	0.404	26	2,585
50	Julia	4,993	0.247	-9	-623	50	Carter	8,167	0.385	15	1,104

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.