Top 1000 Most Popular U.S. Baby Names Of 1975

Page of 20

1975 Popular Names U.S. - Top 1000 Baby Names
				Change from 1974						Change from 1974
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Jennifer	58,183	3.728	0	-4,931	1	Michael	68,454	4.218	0	876
2	Amy	32,251	2.066	0	2,686	2	Jason	52,186	3.215	0	-2,590
3	Heather	24,299	1.557	1	1,118	3	Christopher	46,592	2.871	0	-2,011
4	Melissa	24,165	1.548	3	1,999	4	James	39,591	2.439	1	-1,763
5	Angela	23,360	1.497	0	558	5	David	39,177	2.414	-1	-2,638
6	Michelle	22,665	1.452	-3	-3,163	6	Robert	35,335	2.177	1	-1,696
7	Kimberly	20,263	1.298	-1	-2,156	7	John	35,097	2.162	-1	-2,541
8	Lisa	18,134	1.162	0	-1,640	8	Brian	30,608	1.886	0	-3,852
9	Stephanie	15,774	1.011	0	-1,209	9	Matthew	28,550	1.759	0	1,326
10	Nicole	14,276	0.915	1	1,160	10	William	25,572	1.576	0	-1,418
11	Rebecca	13,926	0.892	-1	-1,241	11	Daniel	23,822	1.468	0	-16
12	Christina	12,975	0.831	3	2,127	12	Joseph	22,139	1.364	0	301
13	Jessica	12,929	0.828	4	2,277	13	Eric	19,811	1.221	0	-380
14	Amanda	12,653	0.811	20	5,177	14	Jeffrey	18,331	1.129	1	-995
15	Elizabeth	12,473	0.799	-3	212	15	Kevin	18,084	1.114	-1	-1,389
16	Kelly	11,734	0.752	0	886	16	Richard	17,686	1.090	1	-960
17	Sarah	11,171	0.716	3	1,383	17	Scott	17,325	1.067	1	-719
18	Julie	11,144	0.714	-4	-215	18	Steven	17,063	1.051	1	-614
19	Mary	10,967	0.703	-6	-771	19	Mark	16,750	1.032	-3	-2,166
20	Laura	10,310	0.661	1	592	20	Thomas	16,548	1.020	0	-739
21	Shannon	9,371	0.600	-3	-1,238	21	Anthony	16,494	1.016	0	106
22	Christine	9,102	0.583	-3	-797	22	Timothy	15,954	0.983	0	60
23	Dawn	8,746	0.560	-1	-672	23	Ryan	15,304	0.943	2	2,113
24	Tracy	8,508	0.545	-1	-781	24	Jeremy	15,203	0.937	0	1,903
25	April	8,243	0.528	3	-209	25	Charles	14,580	0.898	-2	-569
26	Rachel	8,226	0.527	10	829	26	Joshua	14,574	0.898	3	2,976
27	Karen	8,166	0.523	-1	-485	27	Chad	12,844	0.791	-1	48
28	Andrea	8,043	0.515	7	568	28	Andrew	12,762	0.786	0	978
29	Carrie	7,856	0.503	13	1,421	29	Paul	12,017	0.740	-2	-302
30	Tammy	7,529	0.482	-6	-1,710	30	Jonathan	10,912	0.672	3	676
31	Maria	7,524	0.482	0	-268	31	Shawn	10,689	0.659	-1	-756
32	Susan	7,486	0.480	-5	-986	32	Aaron	10,549	0.650	0	38
33	Wendy	7,475	0.479	-1	-87	33	Gregory	10,402	0.641	-2	-435
34	Stacy	7,171	0.459	4	431	34	Stephen	9,736	0.600	1	-379
35	Tina	7,065	0.453	-10	-1,602	35	Kenneth	9,637	0.594	-1	-511
36	Patricia	7,049	0.452	-7	-985	36	Benjamin	9,550	0.588	10	2,362
37	Tiffany	6,919	0.443	4	442	37	Justin	8,893	0.548	6	1,463
38	Erin	6,893	0.442	9	1,023	38	Adam	8,654	0.533	-2	227
39	Lori	6,649	0.426	-9	-1,313	39	Patrick	8,063	0.497	-1	-74
40	Cynthia	6,540	0.419	-7	-1,014	40	Sean	7,593	0.468	-3	-698
41	Tara	6,456	0.414	-2	-199	41	Edward	7,388	0.455	-1	-437
42	Danielle	6,417	0.411	-2	-210	42	Donald	7,198	0.443	-1	-562
43	Crystal	6,244	0.400	6	624	43	Todd	7,156	0.441	-4	-694
44	Stacey	5,931	0.380	4	129	44	Brandon	7,089	0.437	7	1,228
45	Tonya	5,899	0.378	-8	-979	45	Ronald	7,066	0.435	-3	-601
46	Jill	5,727	0.367	12	667	46	Nathan	7,065	0.435	6	1,215
47	Misty	5,553	0.356	19	1,115	47	Bryan	7,012	0.432	-2	-220
48	Emily	5,481	0.351	21	1,153	48	Jose	6,969	0.429	-1	249
49	Monica	5,477	0.351	-6	-807	49	Keith	6,824	0.420	-5	-567
50	Tanya	5,379	0.345	-4	-617	50	Gary	6,118	0.377	-2	-329

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.