Top 100 Most Popular U.S. Baby Names Of 1977

Page of 2

1977 Popular Names U.S. - Top 100 Baby Names
				Change from 1976						Change from 1976
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Jennifer	58,964	3.585	0	-510	1	Michael	67,616	3.954	0	662
2	Melissa	26,886	1.634	1	1,791	2	Jason	55,653	3.255	0	2,973
3	Amy	26,732	1.625	-1	-4,609	3	Christopher	46,749	2.734	0	1,539
4	Jessica	24,843	1.510	4	6,473	4	David	40,543	2.371	0	1,249
5	Heather	23,777	1.445	-1	-421	5	James	40,054	2.342	0	1,745
6	Angela	20,996	1.276	-1	-1,046	6	John	34,227	2.002	0	221
7	Michelle	19,539	1.188	-1	-16	7	Robert	34,217	2.001	0	407
8	Kimberly	18,286	1.112	-1	-680	8	Brian	32,502	1.901	0	1,970
9	Amanda	18,280	1.111	1	2,690	9	Matthew	31,973	1.870	0	1,992
10	Kelly	18,235	1.109	9	6,441	10	Joseph	26,493	1.549	2	2,420
11	Sarah	18,094	1.100	4	4,101	11	Daniel	26,077	1.525	-1	1,357
12	Lisa	17,013	1.034	-3	-338	12	William	24,769	1.449	-1	323
13	Elizabeth	16,427	0.999	3	2,881	13	Kevin	22,475	1.314	2	3,994
14	Stephanie	15,420	0.937	-3	241	14	Joshua	22,079	1.291	4	5,214
15	Nicole	15,249	0.927	-2	798	15	Jeremy	21,615	1.264	-1	1,476
16	Christina	14,497	0.881	-2	463	16	Ryan	21,258	1.243	0	3,761
17	Rebecca	14,195	0.863	-5	-296	17	Eric	20,748	1.213	-4	-626
18	Jamie	12,900	0.784	0	362	18	Timothy	17,984	1.052	3	1,356
19	Shannon	12,517	0.761	-2	-854	19	Jeffrey	17,485	1.023	-2	462
20	Laura	11,320	0.688	0	67	20	Richard	17,448	1.020	-1	686
21	Mary	10,659	0.648	1	341	21	Anthony	16,800	0.983	1	189
22	Julie	10,203	0.620	-1	-638	22	Thomas	16,590	0.970	1	462
23	Erin	10,198	0.620	1	1,814	23	Steven	16,492	0.965	-3	-169
24	Andrea	9,786	0.595	1	1,433	24	Andrew	16,035	0.938	3	2,719
25	Crystal	9,728	0.591	11	2,783	25	Mark	15,445	0.903	0	-74
26	Rachel	8,976	0.546	-3	521	26	Charles	14,741	0.862	0	807
27	Sara	8,710	0.530	0	687	27	Scott	14,212	0.831	-3	-1,516
28	Carrie	8,662	0.527	0	670	28	Jonathan	12,324	0.721	3	1,006
29	April	8,068	0.490	1	306	29	Benjamin	12,110	0.708	3	1,430
30	Christine	7,887	0.479	-4	-224	30	Justin	12,016	0.703	3	1,861
31	Danielle	7,616	0.463	2	253	31	Paul	11,811	0.691	-3	23
32	Karen	7,444	0.453	-1	-61	32	Aaron	11,632	0.680	-2	281
33	Amber	7,207	0.438	16	1,559	33	Adam	11,038	0.646	3	1,092
34	Tiffany	7,206	0.438	-2	-278	34	Chad	10,831	0.633	-5	-943
35	Tara	7,197	0.438	7	1,173	35	Gregory	10,054	0.588	0	-8
36	Maria	7,088	0.431	-2	-259	36	Nathan	9,892	0.579	3	1,275
37	Emily	6,879	0.418	13	1,332	37	Shawn	9,864	0.577	-3	-243
38	Erica	6,622	0.403	16	1,388	38	Stephen	9,642	0.564	-1	-88
39	Monica	6,365	0.387	6	384	39	Kenneth	9,454	0.553	-1	320
40	Misty	6,314	0.384	6	408	40	Patrick	8,309	0.486	1	666
41	Jill	6,240	0.379	11	956	41	Brandon	8,282	0.484	-1	490
42	Stacy	6,155	0.374	-4	-369	42	Bryan	7,890	0.461	1	598
43	Dawn	6,095	0.371	-8	-954	43	Sean	7,639	0.447	-1	60
44	Katherine	6,034	0.367	13	979	44	Travis	7,279	0.426	2	444
45	Susan	5,957	0.362	-5	-448	45	Jose	6,918	0.405	0	-137
46	Jaime	5,906	0.359	-17	-1,931	46	Donald	6,867	0.402	1	68
47	Patricia	5,905	0.359	-4	-112	47	Edward	6,844	0.400	-3	-212
48	Cynthia	5,782	0.352	-4	-232	48	Keith	6,604	0.386	0	-146
49	Wendy	5,762	0.350	-10	-704	49	Bradley	6,434	0.376	2	452
50	Tracy	5,757	0.350	-13	-1,067	50	Todd	6,277	0.367	0	-164

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.