North Dakota · 1930

Top 100 names in North Dakota, 1930, by official Social Security birth counts.

Rank	Name	Births
#1	Betty	237
#2	Mary	210
#3	Donna	141
#4	Dorothy	141
#5	Helen	128
#6	Lorraine	119
#7	Beverly	112
#8	Joyce	111
#9	Lois	111
#10	Delores	110
#11	Doris	108
#12	Patricia	103
#13	Shirley	97
#14	Ruth	93
#15	Margaret	90
#16	Irene	87
#17	Dolores	78
#18	Phyllis	74
#19	Alice	70
#20	Marjorie	63
#21	Jean	62
#22	Elaine	61
#23	Arlene	60
#24	Marilyn	60
#25	Evelyn	57
#26	Barbara	56
#27	Violet	52
#28	Virginia	52
#29	Esther	52
#30	Frances	50
#31	Carol	50
#32	Rose	49
#33	Bernice	49
#34	Marian	47
#35	Florence	47
#36	Mildred	47
#37	Joan	46
#38	Anna	45
#39	Elizabeth	45
#40	Viola	44
#41	Lillian	43
#42	Gladys	43
#43	Norma	43
#44	Gloria	41
#45	Agnes	38
#46	Marie	37
#47	Loretta	36
#48	June	34
#49	Marion	34
#50	Leona	33
#51	Eileen	32
#52	Darlene	31
#53	Rita	30
#54	Lucille	29
#55	Vivian	29
#56	Eleanor	29
#57	Marlys	28
#58	Eunice	27
#59	Ramona	26
#60	Genevieve	26
#61	Beatrice	25
#62	Audrey	25
#63	Clara	25
#64	Grace	25
#65	Janet	24
#66	Harriet	24
#67	Pauline	24
#68	Kathleen	24
#69	Edna	24
#70	Verna	24
#71	Ann	23
#72	Ellen	23
#73	Luella	23
#74	Lavonne	23
#75	Marcella	23
#76	Jeanette	22
#77	Mavis	22
#78	Joann	21
#79	Joanne	21
#80	Kathryn	21
#81	Geraldine	21
#82	Fern	21
#83	Pearl	20
#84	Maxine	20
#85	Gertrude	20
#86	Ruby	20
#87	Josephine	20
#88	Elsie	20
#89	Bonnie	20
#90	Clarice	19
#91	Catherine	19
#92	Martha	19
#93	Janice	19
#94	Adeline	19
#95	Jacqueline	19
#96	Edith	19
#97	Lila	19
#98	Deloris	18
#99	Bertha	18
#100	Sylvia	18

Uniquely popular in North Dakota

Names whose share of births in this state is far above the national share (per 10,000 births).

Name	Births	Per 10k in state	Per 10k nationwide
Marlys	28	47	2
Lavonne	23	39	3
Mavis	22	37	5
Luella	23	39	5
Fern	21	36	6
Delores	110	186	36
Violet	52	88	19
Arlene	60	102	22
Donna	141	239	53
Lorraine	119	201	46
Marcella	23	39	9
Viola	44	74	19

Figures are from the U.S. Social Security Administration Popular Baby Names dataset (public domain). Names with fewer than 5 recorded births in a year or state are suppressed by the source.