Top 1000 Most Popular U.S. Baby Names Of 2007

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2007 Popular Names U.S. - Top 1000 Baby Names
				Change from 2006						Change from 2006
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Emily	19,355	0.915	0	-2,049	1	Jacob	24,282	1.097	0	-563
2	Isabella	19,139	0.905	2	914	2	Michael	21,992	0.993	0	-645
3	Emma	18,373	0.869	-1	-746	3	Ethan	21,029	0.950	1	515
4	Ava	18,051	0.853	1	1,112	4	Joshua	20,655	0.933	-1	-1,667
5	Madison	17,961	0.849	-2	-665	5	Daniel	20,251	0.915	1	186
6	Sophia	17,024	0.805	3	3,523	6	Christopher	20,018	0.904	2	338
7	Olivia	16,582	0.784	0	1,084	7	Anthony	19,627	0.887	2	223
8	Abigail	15,470	0.731	-2	-158	8	William	18,882	0.853	2	-75
9	Hannah	13,312	0.629	-1	-1,232	9	Matthew	18,739	0.846	-4	-1,592
10	Elizabeth	13,056	0.617	1	628	10	Andrew	18,449	0.833	-3	-1,272
11	Addison	11,946	0.565	17	4,326	11	Alexander	18,137	0.819	1	-89
12	Samantha	11,880	0.562	-2	-582	12	David	17,543	0.792	1	-91
13	Ashley	11,425	0.540	-1	-921	13	Joseph	17,338	0.783	-2	-1,107
14	Alyssa	11,263	0.532	5	1,090	14	Noah	16,592	0.749	1	258
15	Mia	10,919	0.516	-2	-1,105	15	James	15,962	0.721	1	-277
16	Chloe	10,748	0.508	2	346	16	Ryan	15,716	0.710	-2	-711
17	Natalie	10,437	0.493	0	-511	17	Logan	15,326	0.692	3	181
18	Sarah	9,992	0.472	-3	-1,158	18	Jayden	15,244	0.689	31	5,620
19	Alexis	9,914	0.469	-5	-1,318	19	John	14,432	0.652	0	-734
20	Grace	9,763	0.462	-4	-1,210	20	Nicholas	14,358	0.649	-3	-1,311
21	Ella	9,545	0.451	0	338	21	Tyler	14,091	0.637	-3	-1,450
22	Brianna	8,851	0.418	-2	-515	22	Christian	14,056	0.635	-1	-420
23	Hailey	8,435	0.399	2	13	23	Jonathan	13,793	0.623	-1	-581
24	Taylor	7,961	0.376	-1	-598	24	Nathan	13,591	0.614	-1	-683
25	Anna	7,893	0.373	-3	-709	25	Samuel	13,354	0.603	0	-278
26	Kayla	7,576	0.358	0	-648	26	Benjamin	13,275	0.600	-2	-482
27	Lily	7,497	0.354	6	730	27	Aiden	13,104	0.592	5	1,519
28	Lauren	7,435	0.352	-4	-1,062	28	Gabriel	12,904	0.583	0	368
29	Victoria	7,431	0.351	-2	-218	29	Dylan	12,810	0.579	-3	-357
30	Savannah	7,048	0.333	0	-42	30	Elijah	12,409	0.561	-1	364
31	Nevaeh	6,809	0.322	12	865	31	Brandon	12,137	0.548	-4	-539
32	Jasmine	6,766	0.320	-3	-751	32	Gavin	11,860	0.536	6	1,383
33	Lillian	6,549	0.310	5	317	33	Jackson	11,663	0.527	2	768
34	Julia	6,131	0.290	-3	-752	34	Angel	11,369	0.514	-3	-227
35	Sofia	6,046	0.286	20	968	35	Jose	11,249	0.508	-5	-348
36	Kaylee	6,043	0.286	6	50	36	Caleb	10,946	0.494	-2	-50
37	Sydney	6,029	0.285	-3	-485	37	Mason	10,767	0.486	3	358
38	Gabriella	5,839	0.276	12	468	38	Jack	10,670	0.482	-2	-166
39	Katherine	5,817	0.275	-2	-476	39	Kevin	10,532	0.476	-2	-243
40	Alexa	5,784	0.273	-1	-326	40	Evan	10,290	0.465	2	161
41	Destiny	5,735	0.271	-5	-572	41	Isaac	10,259	0.463	7	582
42	Jessica	5,711	0.270	-10	-1,100	42	Zachary	10,213	0.461	-9	-795
43	Morgan	5,664	0.268	-8	-827	43	Isaiah	10,114	0.457	-4	-337
44	Kaitlyn	5,548	0.262	-3	-526	44	Jordan	10,050	0.454	2	123
45	Brooke	5,507	0.260	-1	-239	45	Justin	10,045	0.454	0	76
46	Allison	5,453	0.258	1	-109	46	Luke	9,603	0.434	-3	-482
47	Makayla	5,422	0.256	-2	-226	47	Robert	9,377	0.424	0	-524
48	Avery	5,383	0.254	4	133	48	Austin	9,193	0.415	-7	-1,094
49	Alexandra	5,352	0.253	-9	-747	49	Landon	9,097	0.411	1	-474
50	Jocelyn	5,292	0.250	23	924	50	Cameron	8,980	0.406	2	127

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.