Top 100 Most Popular U.S. Baby Names Of 2017

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2017 Popular Names U.S. - Top 100 Baby Names
				Change to 2018						Change to 2018
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Emma	19,800	1.052	0	-1,112	1	Liam	18,798	0.953	0	1,039
2	Olivia	18,703	0.993	0	-782	2	Noah	18,410	0.934	0	-143
3	Ava	15,958	0.848	0	-1,034	3	William	14,967	0.759	0	-451
4	Isabella	15,180	0.806	0	-716	4	James	14,291	0.725	0	-766
5	Sophia	14,883	0.790	0	-955	5	Logan	14,014	0.711	-5	-1,662
6	Mia	13,470	0.715	-1	-828	6	Benjamin	13,797	0.700	0	-416
7	Charlotte	12,937	0.687	1	3	7	Mason	13,549	0.687	-2	-1,114
8	Amelia	11,833	0.628	0	468	8	Elijah	13,344	0.677	1	-458
9	Evelyn	10,712	0.569	-1	-336	9	Oliver	13,193	0.669	4	196
10	Abigail	10,607	0.563	-1	-811	10	Jacob	13,178	0.668	-3	-1,408
11	Harper	10,487	0.557	2	95	11	Lucas	12,996	0.659	3	-411
12	Emily	9,781	0.520	0	-1,125	12	Michael	12,639	0.641	-2	-1,019
13	Elizabeth	8,955	0.476	0	-442	13	Alexander	12,519	0.635	2	-530
14	Avery	8,205	0.436	-2	-152	14	Ethan	12,439	0.631	2	-585
15	Sofia	8,160	0.433	-2	-539	15	Daniel	11,691	0.593	0	-518
16	Ella	8,046	0.427	1	9	16	Matthew	11,671	0.592	-4	-1,747
17	Madison	7,875	0.418	-5	-839	17	Aiden	11,303	0.573	-2	-1,324
18	Scarlett	7,702	0.409	-2	-520	18	Henry	10,461	0.530	2	188
19	Victoria	7,292	0.387	-2	-203	19	Joseph	10,437	0.529	-4	-882
20	Aria	7,149	0.380	1	245	20	Jackson	10,399	0.527	3	-76
21	Grace	7,040	0.374	-3	-316	21	Samuel	10,395	0.527	0	-661
22	Chloe	6,944	0.369	-3	-318	22	David	10,187	0.517	0	-490
23	Camila	6,766	0.359	5	707	23	Sebastian	10,172	0.516	5	-118
24	Penelope	6,652	0.353	-2	-178	24	Carter	9,787	0.496	0	-475
25	Riley	6,353	0.337	-3	-377	25	Wyatt	9,688	0.491	-1	-561
26	Layla	6,303	0.335	-1	165	26	Jayden	9,534	0.483	-4	-981
27	Lillian	6,160	0.327	-7	-626	27	John	9,486	0.481	0	-367
28	Nora	6,055	0.322	-2	-256	28	Owen	9,338	0.474	3	-50
29	Zoey	6,045	0.321	0	-146	29	Dylan	9,295	0.471	-2	-746
30	Mila	5,964	0.317	16	2,162	30	Luke	9,195	0.466	1	-618
31	Aubrey	5,911	0.314	-5	-721	31	Gabriel	9,131	0.463	-4	-796
32	Hannah	5,907	0.314	-1	-278	32	Isaac	8,851	0.449	-2	-434
33	Lily	5,837	0.310	2	-131	33	Anthony	8,833	0.448	-5	-830
34	Addison	5,616	0.298	-1	-413	34	Grayson	8,679	0.440	2	-141
35	Eleanor	5,537	0.294	3	157	35	Jack	8,454	0.429	7	380
36	Natalie	5,534	0.294	-3	-439	36	Julian	8,422	0.427	0	-115
37	Luna	5,344	0.284	14	1,553	37	Levi	8,418	0.427	4	22
38	Savannah	5,238	0.278	-7	-493	38	Christopher	8,285	0.420	-4	-1,024
39	Brooklyn	5,186	0.275	-8	-575	39	Joshua	8,284	0.420	-2	-920
40	Leah	5,175	0.275	-1	-180	40	Andrew	8,251	0.418	-3	-1,017
41	Zoe	5,158	0.274	1	-96	41	Lincoln	8,179	0.415	1	-811
42	Stella	5,055	0.268	4	66	42	Mateo	7,757	0.393	5	412
43	Hazel	5,023	0.267	1	-107	43	Ryan	7,674	0.389	-3	-769
44	Ellie	5,005	0.266	7	185	44	Jaxon	7,673	0.389	5	28
45	Paisley	4,940	0.262	-7	-607	45	Nathan	7,418	0.376	-3	-628
46	Audrey	4,825	0.256	0	-163	46	Isaiah	7,212	0.366	-5	-598
47	Violet	4,719	0.251	4	75	47	Aaron	7,196	0.365	-13	-1,243
48	Skylar	4,718	0.251	-2	-340	48	Charles	7,162	0.363	-4	-558
49	Claire	4,693	0.249	0	-314	49	Thomas	7,162	0.363	0	-383
50	Bella	4,638	0.246	2	-120	50	Caleb	7,125	0.361	5	-196

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.