South Dakota · 1926

Top 100 names in South Dakota, 1926, by official Social Security birth counts.

Rang	Name	Geburten
#1	Dorothy	236
#2	Mary	227
#3	Betty	195
#4	Helen	134
#5	Doris	126
#6	Ruth	121
#7	Lois	119
#8	Margaret	116
#9	Phyllis	113
#10	Shirley	107
#11	Evelyn	97
#12	Marjorie	89
#13	Joyce	85
#14	Donna	77
#15	Irene	72
#16	Delores	71
#17	Lorraine	71
#18	Virginia	71
#19	Alice	68
#20	Jean	64
#21	Mildred	63
#22	Patricia	60
#23	Esther	59
#24	Arlene	58
#25	Gladys	58
#26	Norma	55
#27	Lucille	55
#28	Beverly	54
#29	Frances	51
#30	Viola	50
#31	Maxine	47
#32	Rose	46
#33	Elaine	46
#34	Lillian	46
#35	Elizabeth	46
#36	Darlene	46
#37	Dolores	45
#38	Bernice	43
#39	Ruby	42
#40	Marie	41
#41	Violet	40
#42	Leona	40
#43	Lavonne	39
#44	Anna	39
#45	Florence	39
#46	Marilyn	39
#47	June	38
#48	Martha	36
#49	Grace	35
#50	Pearl	34
#51	Eleanor	34
#52	Marian	34
#53	Vivian	33
#54	Hazel	33
#55	Mavis	33
#56	Elsie	32
#57	Geraldine	31
#58	Agnes	30
#59	Bonnie	30
#60	Audrey	30
#61	Gloria	29
#62	Barbara	28
#63	Ethel	28
#64	Edna	27
#65	Wilma	26
#66	Carol	26
#67	Thelma	25
#68	Alma	25
#69	Charlotte	25
#70	Verna	24
#71	Marcella	24
#72	Louise	24
#73	Joan	24
#74	Eileen	24
#75	Eunice	23
#76	Ella	23
#77	Luella	22
#78	Clara	21
#79	Fern	21
#80	Ellen	21
#81	Pauline	21
#82	Bette	20
#83	Janice	20
#84	Emma	20
#85	Edith	20
#86	Catherine	19
#87	Kathleen	19
#88	Vera	19
#89	Deloris	18
#90	Jeanne	18
#91	Myrtle	18
#92	Rita	18
#93	Marion	18
#94	Avis	18
#95	Harriet	18
#96	Mabel	18
#97	Gertrude	18
#98	Velma	17
#99	Loretta	17
#100	Wanda	17

Uniquely popular in South Dakota

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

Name	Geburten	Per 10k in state	Per 10k nationwide
Lavonne	39	66	3
Mavis	33	56	5
Darlene	46	78	7
Delores	71	120	14
Luella	22	37	5
Donna	77	131	25
Fern	21	36	8
Arlene	58	98	21
Marcella	24	41	10
Viola	50	85	24
Leona	40	68	20
Phyllis	113	192	58

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.