Top 100 Most Popular U.S. Baby Names Of 1980

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1980 Popular Names U.S. - Top 100 Baby Names
				Change from 1979						Change from 1979
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Jennifer	58,375	3.279	0	1,658	1	Michael	68,696	3.703	0	957
2	Amanda	35,821	2.012	1	3,893	2	Christopher	49,092	2.646	0	-1,585
3	Jessica	33,921	1.905	1	6,145	3	Jason	48,171	2.597	0	-2,237
4	Melissa	31,636	1.777	-2	-2,416	4	David	41,925	2.260	0	-153
5	Sarah	25,755	1.447	1	4,737	5	James	39,325	2.120	0	-46
6	Heather	19,975	1.122	1	-864	6	Matthew	37,855	2.041	0	2,198
7	Nicole	19,920	1.119	2	409	7	Joshua	36,060	1.944	2	4,923
8	Amy	19,835	1.114	-3	-1,780	8	John	35,279	1.902	-1	-155
9	Elizabeth	19,528	1.097	2	1,450	9	Robert	34,280	1.848	-1	254
10	Michelle	19,123	1.074	0	-146	10	Joseph	30,203	1.628	1	1,534
11	Kimberly	18,500	1.039	1	861	11	Daniel	29,894	1.611	1	1,365
12	Angela	17,971	1.009	-4	-2,285	12	Brian	28,722	1.548	-2	52
13	Stephanie	17,841	1.002	2	1,637	13	Justin	26,756	1.442	9	9,352
14	Tiffany	16,229	0.912	14	6,618	14	William	25,654	1.383	-1	955
15	Christina	16,137	0.906	-1	-320	15	Ryan	24,808	1.337	-1	1,590
16	Lisa	15,661	0.880	-3	-1,625	16	Eric	22,632	1.220	1	2,359
17	Rebecca	15,280	0.858	0	732	17	Nicholas	21,026	1.133	-2	-319
18	Crystal	14,255	0.801	0	789	18	Jeremy	19,902	1.073	-2	-1,108
19	Kelly	13,717	0.770	-3	-1,580	19	Andrew	19,729	1.063	1	1,095
20	Erin	13,430	0.754	1	2,172	20	Timothy	19,155	1.033	-2	70
21	Laura	12,917	0.725	-1	1,032	21	Jonathan	18,994	1.024	10	4,662
22	Amber	12,555	0.705	0	1,473	22	Adam	18,872	1.017	1	1,809
23	Rachel	11,623	0.653	4	1,391	23	Kevin	17,984	0.969	-4	-755
24	Jamie	11,526	0.647	-5	-630	24	Anthony	17,613	0.949	-3	86
25	April	11,474	0.644	-2	570	25	Thomas	17,570	0.947	1	1,094
26	Mary	11,474	0.644	-2	913	26	Richard	16,664	0.898	-1	-57
27	Sara	11,148	0.626	3	2,493	27	Jeffrey	16,384	0.883	-3	-489
28	Andrea	10,452	0.587	-2	114	28	Steven	15,917	0.858	-1	-416
29	Shannon	9,669	0.543	-4	-698	29	Charles	14,961	0.806	-1	139
30	Megan	9,138	0.513	1	845	30	Brandon	14,172	0.764	5	2,862
31	Emily	9,006	0.506	3	1,034	31	Mark	14,161	0.763	-1	-233
32	Julie	8,910	0.500	-3	-343	32	Benjamin	13,634	0.735	1	1,113
33	Danielle	8,846	0.497	0	866	33	Scott	13,312	0.718	-4	-1,142
34	Erica	8,760	0.492	-2	584	34	Aaron	13,173	0.710	-2	96
35	Katherine	8,019	0.450	1	552	35	Paul	11,824	0.637	-1	175
36	Maria	7,863	0.442	1	534	36	Nathan	11,142	0.601	1	402
37	Kristin	7,702	0.433	36	3,438	37	Travis	10,770	0.581	-1	-285
38	Lauren	7,477	0.420	7	1,850	38	Patrick	10,354	0.558	1	367
39	Kristen	7,316	0.411	23	2,746	39	Chad	10,149	0.547	-1	-11
40	Ashley	7,297	0.410	27	2,845	40	Stephen	10,065	0.543	0	161
41	Christine	7,085	0.398	-6	-604	41	Kenneth	9,614	0.518	0	369
42	Brandy	6,410	0.360	-3	-364	42	Gregory	9,269	0.500	0	155
43	Tara	6,283	0.353	-5	-524	43	Jacob	8,525	0.460	2	976
44	Katie	6,135	0.345	19	1,625	44	Dustin	8,418	0.454	18	3,520
45	Monica	6,034	0.339	-5	-552	45	Jesse	8,382	0.452	5	1,698
46	Carrie	5,761	0.324	-5	-595	46	Jose	8,319	0.448	-2	477
47	Alicia	5,752	0.323	0	204	47	Shawn	7,698	0.415	-4	-212
48	Courtney	5,616	0.315	23	1,292	48	Sean	7,602	0.410	1	738
49	Misty	5,542	0.311	-7	-244	49	Bryan	7,516	0.405	-3	67
50	Kathryn	5,528	0.310	0	216	50	Derek	7,249	0.391	22	3,044

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.