Top 100 Most Popular U.S. Baby Names Of 1953

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1953 Popular Names U.S. - Top 100 Baby Names
				Change from 1952						Change from 1952
Girls		Number of Girls	%	Rank	Number	Boys		Number of Boys	%	Rank	Number
1	Mary	64,379	3.336	1	-1,255	1	Robert	86,256	4.307	1	-348
2	Linda	61,280	3.176	-1	-5,802	2	James	86,099	4.299	-1	-964
3	Deborah	52,201	2.705	1	2,387	3	Michael	84,226	4.206	1	5,177
4	Patricia	51,018	2.644	-1	-2,080	4	John	80,190	4.004	-1	-2,948
5	Susan	44,297	2.296	0	2,947	5	David	76,152	3.802	0	4,402
6	Barbara	38,472	1.994	0	-1,393	6	William	61,840	3.088	0	-1,207
7	Debra	36,860	1.910	2	10,028	7	Richard	58,403	2.916	0	53
8	Nancy	30,618	1.587	-1	-1,122	8	Thomas	47,005	2.347	0	-1,647
9	Karen	29,853	1.547	-1	894	9	Charles	38,434	1.919	0	-435
10	Pamela	25,759	1.335	7	4,879	10	Gary	36,972	1.846	0	-1,784
11	Sandra	25,498	1.321	-1	-603	11	Steven	33,722	1.684	0	1,690
12	Cynthia	25,132	1.302	6	5,249	12	Mark	29,351	1.466	5	3,671
13	Donna	24,229	1.256	0	515	13	Joseph	29,272	1.462	-1	754
14	Kathleen	23,734	1.230	-3	-2,033	14	Donald	28,360	1.416	-1	77
15	Sharon	23,046	1.194	-1	-340	15	Ronald	27,724	1.384	0	-74
16	Carol	22,295	1.155	-4	-1,698	16	Kenneth	25,522	1.274	0	-382
17	Diane	21,348	1.106	-1	284	17	Paul	25,510	1.274	2	1,209
18	Brenda	20,133	1.043	-3	-1,311	18	Larry	25,216	1.259	-4	-3,023
19	Janet	17,773	0.921	0	-150	19	Dennis	23,659	1.181	-1	-898
20	Margaret	16,200	0.840	1	-897	20	Daniel	23,505	1.174	0	81
21	Elizabeth	16,099	0.834	1	77	21	Stephen	21,819	1.089	0	-1,230
22	Janice	14,624	0.758	1	-355	22	George	19,188	0.958	0	-633
23	Kathy	13,398	0.694	6	1,028	23	Edward	18,985	0.948	0	-525
24	Rebecca	12,961	0.672	6	735	24	Gregory	16,163	0.807	0	966
25	Carolyn	12,918	0.669	-1	-1,353	25	Jeffrey	15,943	0.796	6	3,930
26	Joyce	12,798	0.663	1	-328	26	Timothy	15,191	0.759	1	1,022
27	Judy	12,733	0.660	-1	-900	27	Douglas	14,143	0.706	1	459
28	Cheryl	12,268	0.636	3	69	28	Bruce	14,046	0.701	-3	-439
29	Shirley	12,146	0.629	-1	-384	29	Jerry	13,911	0.695	-3	-532
30	Judith	11,967	0.620	-5	-2,095	30	Terry	13,255	0.662	-1	813
31	Denise	11,947	0.619	2	292	31	Roger	13,175	0.658	-1	1,048
32	Christine	11,796	0.611	-12	-5,752	32	Anthony	11,698	0.584	2	510
33	Betty	11,370	0.589	-1	-761	33	Frank	11,181	0.558	-1	-96
34	Beverly	11,237	0.582	1	690	34	Raymond	11,124	0.555	-1	-114
35	Catherine	10,846	0.562	-1	-206	35	Randy	10,674	0.533	6	2,023
36	Marilyn	10,741	0.557	2	941	36	Kevin	10,014	0.500	7	2,095
37	Joan	9,774	0.507	0	-503	37	Lawrence	9,856	0.492	-2	-450
38	Gloria	9,678	0.502	-2	-783	38	Peter	9,733	0.486	-2	150
39	Gail	9,586	0.497	0	-179	39	Patrick	9,472	0.473	-2	296
40	Paula	9,555	0.495	7	989	40	Wayne	8,909	0.445	-2	-183
41	Martha	9,261	0.480	-1	-436	41	Danny	8,627	0.431	-1	-196
42	Teresa	8,934	0.463	10	1,643	42	Gerald	8,622	0.431	-3	-407
43	Jane	8,910	0.462	-1	-413	43	Alan	8,454	0.422	-1	148
44	Peggy	8,760	0.454	-1	-232	44	Carl	7,829	0.391	1	6
45	Bonnie	8,614	0.446	-4	-773	45	Walter	7,514	0.375	-1	-387
46	Ann	8,577	0.445	-1	-77	46	Scott	7,492	0.374	8	950
47	Connie	8,577	0.445	-3	-181	47	Keith	7,378	0.368	2	206
48	Kathryn	8,323	0.431	0	-181	48	Dale	7,344	0.367	-2	-71
49	Dorothy	8,155	0.423	-3	-458	49	Willie	7,051	0.352	-1	-145
50	Theresa	7,717	0.400	10	907	50	Arthur	7,002	0.350	-3	-232

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.