Top 1000 Most Popular U.S. Baby Names Of 1984

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1984 Popular Names U.S. - Top 1000 Baby Names
				Change from 1983						Change from 1983
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Jennifer	50,559	2.804	0	-3,787	1	Michael	67,741	3.610	0	-259
2	Jessica	45,855	2.543	0	573	2	Christopher	60,029	3.199	0	680
3	Ashley	38,772	2.150	1	5,479	3	Matthew	49,776	2.653	0	-441
4	Amanda	33,908	1.881	-1	154	4	Joshua	40,262	2.146	1	3,555
5	Sarah	25,884	1.436	0	-1,345	5	David	38,486	2.051	-1	-713
6	Stephanie	23,021	1.277	2	691	6	Daniel	36,533	1.947	2	1,783
7	Nicole	22,265	1.235	0	-134	7	James	35,857	1.911	-1	-497
8	Melissa	21,891	1.214	-2	-1,582	8	John	32,617	1.738	1	-536
9	Heather	21,492	1.192	0	746	9	Robert	31,773	1.693	1	-973
10	Elizabeth	20,364	1.129	0	522	10	Joseph	30,515	1.626	1	55
11	Megan	16,979	0.942	10	2,854	11	Jason	29,951	1.596	-4	-5,164
12	Crystal	16,561	0.919	-1	-1,344	12	Ryan	28,727	1.531	1	882
13	Amy	15,990	0.887	-1	-1,107	13	Justin	26,766	1.426	-1	-1,535
14	Tiffany	15,857	0.879	0	-104	14	Andrew	25,926	1.382	1	349
15	Rachel	15,838	0.878	5	1,246	15	Brandon	25,670	1.368	2	2,152
16	Danielle	15,670	0.869	13	5,034	16	William	24,905	1.327	0	-490
17	Michelle	15,499	0.860	-4	-1,335	17	Brian	24,729	1.318	-3	-1,331
18	Amber	15,369	0.852	-1	478	18	Adam	23,935	1.276	0	440
19	Laura	14,815	0.822	4	1,619	19	Jonathan	23,346	1.244	0	596
20	Christina	14,704	0.816	-4	-656	20	Nicholas	21,019	1.120	1	1,126
21	Lauren	14,476	0.803	3	1,531	21	Anthony	20,957	1.117	1	1,125
22	Kimberly	14,442	0.801	-7	-930	22	Eric	20,955	1.117	-2	603
23	Rebecca	13,345	0.740	-4	-1,368	23	Steven	18,216	0.971	0	-98
24	Emily	12,784	0.709	1	405	24	Kevin	17,863	0.952	1	480
25	Erin	12,621	0.700	-7	-2,217	25	Thomas	17,597	0.938	-1	31
26	Angela	11,294	0.626	-4	-1,924	26	Timothy	16,994	0.906	0	629
27	Kelly	11,218	0.622	-1	-367	27	Richard	15,596	0.831	0	-301
28	Andrea	10,348	0.574	2	-66	28	Jeffrey	14,762	0.787	0	-895
29	Lisa	10,235	0.568	-2	-1,235	29	Aaron	13,404	0.714	0	-1,055
30	Katherine	10,159	0.563	4	478	30	Benjamin	13,264	0.707	2	-23
31	Jamie	9,763	0.541	-3	-1,265	31	Jeremy	13,256	0.706	-1	-1,002
32	Sara	9,312	0.516	-1	-775	32	Mark	13,217	0.704	-1	-601
33	Mary	9,290	0.515	-1	-607	33	Charles	12,942	0.690	0	-270
34	Erica	9,277	0.515	-1	-434	34	Kyle	12,544	0.668	0	170
35	Lindsey	9,007	0.500	0	326	35	Stephen	12,093	0.644	0	531
36	Lindsay	8,509	0.472	0	-111	36	Patrick	11,521	0.614	1	641
37	Shannon	8,476	0.470	1	49	37	Jacob	11,352	0.605	-1	351
38	Kristen	8,386	0.465	-1	-231	38	Nathan	10,613	0.566	2	55
39	Samantha	8,034	0.446	1	329	39	Scott	10,581	0.564	-1	-276
40	Alicia	7,819	0.434	1	328	40	Paul	10,462	0.558	-1	-369
41	Brittany	7,666	0.425	23	3,289	41	Dustin	10,399	0.554	2	719
42	April	7,565	0.420	-3	-641	42	Travis	10,244	0.546	-1	-235
43	Christine	7,299	0.405	4	802	43	Sean	10,018	0.534	1	396
44	Katie	7,172	0.398	1	470	44	Gregory	9,689	0.516	-2	-295
45	Vanessa	7,156	0.397	4	770	45	Zachary	9,072	0.483	5	1,761
46	Courtney	7,148	0.396	-2	400	46	Kenneth	8,789	0.468	-1	-180
47	Kristin	7,008	0.389	-5	-260	47	Tyler	8,709	0.464	10	2,887
48	Kathryn	6,541	0.363	2	171	48	Bryan	8,268	0.441	-1	76
49	Tara	6,283	0.348	2	10	49	Jose	8,008	0.427	-1	-67
50	Maria	6,126	0.340	-7	-720	50	Jesse	7,605	0.405	-4	-866

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.