Top 1000 Most Popular U.S. Baby Names Of 2012

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2012 Popular Names U.S. - Top 1000 Baby Names
				Change from 2011						Change from 2011
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Sophia	22,313	1.152	0	471	1	Jacob	19,074	0.941	0	-1,297
2	Emma	20,945	1.081	1	2,142	2	Mason	18,969	0.936	0	-541
3	Isabella	19,099	0.986	-1	-811	3	Ethan	17,672	0.872	4	988
4	Olivia	17,316	0.894	0	-6	4	Noah	17,353	0.856	1	491
5	Ava	15,533	0.802	0	30	5	William	16,885	0.833	-2	-458
6	Emily	13,649	0.705	0	-609	6	Liam	16,804	0.829	9	3,367
7	Abigail	12,700	0.656	0	-548	7	Michael	16,169	0.798	-1	-626
8	Mia	12,023	0.621	1	493	8	Jayden	16,127	0.796	-4	-865
9	Madison	11,397	0.588	-1	-992	9	Alexander	15,237	0.752	-1	-465
10	Elizabeth	9,708	0.501	1	-383	10	Aiden	14,903	0.735	-1	-593
11	Chloe	9,661	0.499	-1	-1,330	11	Daniel	14,279	0.705	-1	-1,012
12	Ella	9,203	0.475	0	-387	12	Matthew	13,971	0.689	0	-195
13	Avery	8,314	0.429	5	973	13	Elijah	13,874	0.685	0	-93
14	Addison	8,178	0.422	-1	-1,124	14	James	13,426	0.662	3	175
15	Aubrey	8,052	0.416	5	875	15	Anthony	13,203	0.651	-4	-1,064
16	Lily	7,960	0.411	-1	-220	16	Benjamin	12,822	0.633	3	-241
17	Natalie	7,894	0.408	-3	-744	17	Joshua	12,656	0.624	-3	-1,117
18	Sofia	7,831	0.404	1	503	18	Andrew	12,621	0.623	-2	-656
19	Charlotte	7,479	0.386	8	1,052	19	Joseph	12,565	0.620	3	-402
20	Zoey	7,471	0.386	8	1,070	20	David	12,541	0.619	-2	-687
21	Grace	7,377	0.381	-5	-256	21	Jackson	12,483	0.616	2	85
22	Hannah	7,275	0.376	3	704	22	Logan	12,473	0.615	-1	-517
23	Amelia	7,242	0.374	7	873	23	Christopher	11,898	0.587	-3	-1,102
24	Harper	7,192	0.371	30	2,518	24	Gabriel	11,552	0.570	0	-789
25	Lillian	7,161	0.370	-3	240	25	Samuel	11,454	0.565	1	105
26	Samantha	6,929	0.358	-9	-466	26	Ryan	10,937	0.540	-1	-557
27	Evelyn	6,876	0.355	-3	169	27	Lucas	10,707	0.528	2	308
28	Victoria	6,861	0.354	-5	-26	28	John	10,621	0.524	-1	-428
29	Brooklyn	6,790	0.351	-8	-377	29	Nathan	10,420	0.514	-1	-85
30	Zoe	6,457	0.333	1	152	30	Isaac	10,052	0.496	5	453
31	Layla	6,265	0.323	4	185	31	Dylan	9,987	0.493	2	207
32	Hailey	5,910	0.305	0	-364	32	Caleb	9,966	0.492	0	-63
33	Leah	5,773	0.298	-4	-619	33	Christian	9,621	0.475	-3	-693
34	Kaylee	5,621	0.290	2	-423	34	Jonathan	9,356	0.462	-3	-877
35	Anna	5,618	0.290	3	-45	35	Landon	9,347	0.461	-1	-408
36	Aaliyah	5,508	0.284	10	388	36	Carter	9,262	0.457	5	664
37	Gabriella	5,500	0.284	-3	-597	37	Luke	9,010	0.445	2	309
38	Allison	5,426	0.280	2	-40	38	Owen	8,690	0.429	6	358
39	Nevaeh	5,392	0.278	-6	-714	39	Brayden	8,502	0.419	-3	-509
40	Alexis	5,358	0.277	-14	-1,166	40	Gavin	8,255	0.407	-3	-756
41	Audrey	5,297	0.273	2	87	41	Wyatt	8,223	0.406	7	542
42	Savannah	5,191	0.268	-1	-259	42	Isaiah	8,159	0.403	1	-374
43	Sarah	5,190	0.268	-4	-366	43	Henry	8,069	0.398	14	839
44	Alyssa	5,086	0.263	-7	-932	44	Eli	8,062	0.398	14	853
45	Claire	4,944	0.255	5	48	45	Hunter	8,037	0.397	10	668
46	Taylor	4,864	0.251	-2	-325	46	Jack	7,937	0.392	-1	-243
47	Riley	4,830	0.249	0	-203	47	Evan	7,899	0.390	-7	-753
48	Camila	4,789	0.247	0	-179	48	Jordan	7,808	0.385	-2	-262
49	Arianna	4,723	0.244	3	35	49	Nicholas	7,735	0.382	-7	-856
50	Ashley	4,699	0.243	-8	-699	50	Tyler	7,697	0.380	-12	-1,141

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.