NameTrends.US-Kindername-Daten

South Dakota · 1930

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

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RangNameGeburten
#1 Betty 258
#2 Mary 238
#3 Dorothy 181
#4 Donna 165
#5 Beverly 127
#6 Shirley 115
#7 Lois 113
#8 Delores 111
#9 Joyce 109
#10 Darlene 105
#11 Doris 104
#12 Helen 103
#13 Patricia 94
#14 Ruth 88
#15 Phyllis 87
#16 Margaret 76
#17 Marilyn 73
#18 Joan 71
#19 Virginia 70
#20 Lorraine 67
#21 Evelyn 65
#22 Marjorie 63
#23 Alice 62
#24 Arlene 61
#25 Jean 60
#26 Dolores 58
#27 Carol 51
#28 Norma 50
#29 Irene 49
#30 Elaine 49
#31 Bonnie 48
#32 Barbara 46
#33 Esther 44
#34 Ramona 44
#35 Mavis 42
#36 Gladys 42
#37 Mildred 41
#38 Rose 40
#39 Florence 39
#40 Frances 38
#41 Bernice 37
#42 Elizabeth 36
#43 Maxine 35
#44 Leona 33
#45 Lavonne 33
#46 Anna 31
#47 Lucille 31
#48 Gloria 31
#49 June 30
#50 Deloris 30
#51 Ruby 30
#52 Grace 29
#53 Audrey 29
#54 Marian 28
#55 Violet 28
#56 Loretta 27
#57 Edna 27
#58 Lillian 26
#59 Martha 26
#60 Lila 25
#61 Jeanette 24
#62 Agnes 24
#63 Rita 24
#64 Geraldine 24
#65 Marlys 24
#66 Viola 24
#67 Thelma 22
#68 Ethel 22
#69 Joann 22
#70 Joanne 22
#71 Janet 21
#72 Marie 21
#73 Pearl 20
#74 Myrtle 20
#75 Velma 20
#76 Eleanor 20
#77 Wilma 19
#78 Vivian 19
#79 Juanita 19
#80 Eileen 19
#81 Dona 18
#82 Pauline 18
#83 Verna 18
#84 Kathleen 17
#85 Hazel 17
#86 Jane 17
#87 Edith 16
#88 Kathryn 16
#89 Vera 16
#90 Louise 16
#91 Charlotte 16
#92 Theresa 16
#93 Eunice 16
#94 Gertrude 15
#95 Clarice 15
#96 Fern 15
#97 Rosemary 15
#98 Wanda 15
#99 Janice 14
#100 Nancy 14

Uniquely popular in South Dakota

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

NameGeburtenPer 10k in statePer 10k nationwide
Marlys 24 42 2
Lavonne 33 58 3
Mavis 42 74 5
Darlene 105 186 14
Deloris 30 53 8
Ramona 44 78 13
Donna 165 292 53
Delores 111 196 36
Arlene 61 108 22
Lila 25 44 11
Beverly 127 225 57
Leona 33 58 17

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.