Top 1000 Most Popular U.S. Baby Names Of 1969

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1969 Popular Names U.S. - Top 1000 Baby Names
				Change from 1968						Change from 1968
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Lisa	45,029	2.555	0	-4,503	1	Michael	85,203	4.656	0	3,195
2	Michelle	34,322	1.947	0	1,101	2	David	63,700	3.481	0	-18
3	Jennifer	33,702	1.912	1	6,850	3	James	59,915	3.274	1	-778
4	Kimberly	33,077	1.877	-1	1,169	4	John	58,771	3.212	-1	-2,158
5	Melissa	23,020	1.306	0	1,293	5	Robert	58,325	3.187	0	114
6	Amy	21,464	1.218	7	4,374	6	William	37,629	2.056	0	673
7	Angela	21,055	1.194	0	386	7	Christopher	35,698	1.951	2	4,239
8	Mary	19,851	1.126	-2	-1,874	8	Mark	33,394	1.825	-1	-2,026
9	Tammy	19,051	1.081	-1	-1,005	9	Brian	31,687	1.732	1	1,748
10	Laura	17,920	1.017	1	-823	10	Richard	31,106	1.700	-2	-1,881
11	Susan	17,807	1.010	-1	-1,696	11	Jeffrey	28,979	1.584	0	611
12	Julie	17,738	1.006	4	1,989	12	Scott	28,681	1.567	2	2,648
13	Karen	17,638	1.001	-4	-1,920	13	Thomas	27,469	1.501	-1	32
14	Christine	16,755	0.951	0	238	14	Steven	26,549	1.451	1	1,056
15	Kelly	16,328	0.926	-3	-811	15	Joseph	26,192	1.431	1	789
16	Elizabeth	15,297	0.868	1	411	16	Kevin	23,563	1.288	1	-308
17	Tracy	15,108	0.857	8	2,362	17	Timothy	23,370	1.277	-4	-3,137
18	Patricia	14,952	0.848	-3	-857	18	Daniel	23,175	1.267	0	1,160
19	Stephanie	14,490	0.822	4	1,536	19	Charles	21,677	1.185	1	103
20	Lori	14,018	0.795	2	892	20	Anthony	20,912	1.143	1	679
21	Dawn	13,768	0.781	0	327	21	Eric	20,757	1.134	1	2,249
22	Tina	13,601	0.772	-4	-1,172	22	Paul	20,694	1.131	-3	-1,177
23	Cynthia	13,520	0.767	-4	-530	23	Kenneth	17,551	0.959	0	-534
24	Pamela	13,357	0.758	-4	-672	24	Matthew	17,468	0.955	0	1,632
25	Sandra	12,189	0.692	1	-492	25	Jason	16,497	0.902	22	9,343
26	Donna	11,448	0.649	-2	-1,304	26	Gregory	16,173	0.884	0	768
27	Deborah	11,188	0.635	0	-1,098	27	Stephen	15,098	0.825	0	334
28	Rebecca	10,950	0.621	5	723	28	Todd	14,752	0.806	0	93
29	Wendy	10,624	0.603	2	-83	29	Ronald	14,624	0.799	-4	-799
30	Michele	10,558	0.599	-1	-658	30	Donald	12,777	0.698	-1	-591
31	Shannon	10,451	0.593	22	4,051	31	Patrick	12,678	0.693	-1	-386
32	Teresa	10,356	0.588	-2	-558	32	Edward	12,457	0.681	-1	170
33	Linda	10,248	0.581	-5	-1,120	33	Andrew	11,288	0.617	1	723
34	Heather	10,069	0.571	28	4,568	34	Douglas	11,247	0.615	-1	-164
35	Denise	9,798	0.556	0	-79	35	Gary	11,150	0.609	-3	-832
36	Sharon	9,693	0.550	-4	-646	36	Keith	9,447	0.516	-1	-421
37	Christina	9,323	0.529	7	1,312	37	Sean	9,355	0.511	0	177
38	Brenda	8,992	0.510	-4	-949	38	George	9,202	0.503	-2	-187
39	Barbara	8,808	0.500	-3	-936	39	Craig	8,783	0.480	2	917
40	Maria	8,385	0.476	1	6	40	Larry	8,285	0.453	-2	51
41	Cheryl	8,345	0.473	-4	-797	41	Shawn	8,271	0.452	2	793
42	Kathleen	8,301	0.471	-2	-428	42	Troy	8,095	0.442	-2	114
43	Debra	7,949	0.451	-5	-1,145	43	Peter	7,836	0.428	-4	-291
44	Rhonda	7,918	0.449	-2	-349	44	Dennis	7,362	0.402	1	-41
45	Nancy	7,898	0.448	-6	-1,065	45	Jerry	7,290	0.398	-1	-160
46	Robin	7,500	0.425	-3	-683	46	Jonathan	7,087	0.387	7	1,275
47	Nicole	7,214	0.409	61	4,132	47	Frank	6,925	0.378	2	29
48	Andrea	7,202	0.409	0	113	48	Jeffery	6,741	0.368	-2	-483
49	Theresa	6,857	0.389	-2	-446	49	Rodney	6,668	0.364	-7	-843
50	Paula	6,754	0.383	-5	-884	50	Raymond	6,646	0.363	0	-235

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.