Top 100 Most Popular U.S. Baby Names Of 2006

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2006 Popular Names U.S. - Top 100 Baby Names
				Change from 2005						Change from 2005
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Emily	21,404	1.024	0	-2,536	1	Jacob	24,845	1.134	0	-988
2	Emma	19,119	0.915	0	-1,225	2	Michael	22,637	1.033	0	-1,178
3	Madison	18,626	0.891	0	-942	3	Joshua	22,322	1.019	0	-928
4	Isabella	18,225	0.872	2	3,039	4	Ethan	20,514	0.936	1	-798
5	Ava	16,939	0.811	4	3,334	5	Matthew	20,331	0.928	-1	-1,137
6	Abigail	15,628	0.748	-2	-121	6	Daniel	20,065	0.916	1	-146
7	Olivia	15,498	0.742	-2	-195	7	Andrew	19,721	0.900	-1	-1,009
8	Hannah	14,544	0.696	-1	-301	8	Christopher	19,680	0.898	2	512
9	Sophia	13,501	0.646	3	830	9	Anthony	19,404	0.886	-1	25
10	Samantha	12,462	0.596	-2	-1,176	10	William	18,957	0.865	1	-95
11	Elizabeth	12,428	0.595	0	-303	11	Joseph	18,445	0.842	-2	-772
12	Ashley	12,346	0.591	-2	-928	12	Alexander	18,226	0.832	0	105
13	Mia	12,024	0.575	4	1,181	13	David	17,634	0.805	0	-484
14	Alexis	11,232	0.538	-1	-740	14	Ryan	16,427	0.750	0	-1,558
15	Sarah	11,150	0.534	0	-382	15	Noah	16,334	0.745	8	2,442
16	Grace	10,973	0.525	-2	-888	16	James	16,239	0.741	1	104
17	Natalie	10,948	0.524	1	212	17	Nicholas	15,669	0.715	-2	-1,403
18	Chloe	10,402	0.498	1	807	18	Tyler	15,541	0.709	-2	-1,445
19	Alyssa	10,173	0.487	-3	-717	19	John	15,166	0.692	-1	-602
20	Brianna	9,366	0.448	0	4	20	Logan	15,145	0.691	6	1,674
21	Ella	9,207	0.441	2	142	21	Christian	14,476	0.661	1	271
22	Anna	8,602	0.412	0	-500	22	Jonathan	14,374	0.656	-3	-64
23	Taylor	8,559	0.410	1	-113	23	Nathan	14,274	0.651	-3	-84
24	Lauren	8,497	0.407	-3	-750	24	Benjamin	13,757	0.628	1	184
25	Hailey	8,422	0.403	1	-167	25	Samuel	13,632	0.622	-4	-619
26	Kayla	8,224	0.394	-1	-392	26	Dylan	13,167	0.601	-2	-606
27	Victoria	7,649	0.366	1	-307	27	Brandon	12,676	0.579	0	-268
28	Addison	7,620	0.365	78	4,597	28	Gabriel	12,536	0.572	0	-218
29	Jasmine	7,517	0.360	0	-349	29	Elijah	12,045	0.550	2	439
30	Savannah	7,090	0.339	5	609	30	Jose	11,597	0.529	0	-467
31	Julia	6,883	0.329	0	-202	31	Angel	11,596	0.529	1	611
32	Jessica	6,811	0.326	-5	-1,301	32	Aiden	11,585	0.529	18	2,502
33	Lily	6,767	0.324	6	679	33	Zachary	11,008	0.502	-4	-1,276
34	Sydney	6,514	0.312	-4	-862	34	Caleb	10,996	0.502	1	103
35	Morgan	6,491	0.311	-2	-258	35	Jackson	10,895	0.497	9	1,316
36	Destiny	6,307	0.302	-4	-580	36	Jack	10,836	0.495	-2	-68
37	Katherine	6,293	0.301	-1	-98	37	Kevin	10,775	0.492	-4	-135
38	Lillian	6,232	0.298	12	1,019	38	Gavin	10,477	0.478	9	1,139
39	Alexa	6,110	0.292	27	1,447	39	Isaiah	10,451	0.477	6	931
40	Alexandra	6,099	0.292	-3	-218	40	Mason	10,409	0.475	2	641
41	Kaitlyn	6,074	0.291	-7	-447	41	Austin	10,287	0.469	-3	176
42	Kaylee	5,993	0.287	-2	127	42	Evan	10,129	0.462	-3	23
43	Nevaeh	5,944	0.284	26	1,389	43	Luke	10,085	0.460	-2	77
44	Brooke	5,746	0.275	3	179	44	Aidan	10,034	0.458	-1	276
45	Makayla	5,648	0.270	-1	-76	45	Justin	9,969	0.455	-9	-543
46	Maria	5,599	0.268	0	4	46	Jordan	9,927	0.453	0	531
47	Allison	5,562	0.266	-2	-72	47	Robert	9,901	0.452	-10	-259
48	Rachel	5,529	0.265	-10	-684	48	Isaac	9,677	0.442	1	555
49	Angelina	5,522	0.264	-6	-289	49	Jayden	9,624	0.439	5	1,365
50	Gabriella	5,371	0.257	11	550	50	Landon	9,571	0.437	11	2,463

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.