Popular baby names in South Dakota, 1930
The most popular baby names in South Dakota in 1930 were Betty for girls (258 babies) and Robert for boys (384). Betty ranked #2 nationally for girls. Social Security records list 11,391 babies born in South Dakota in 1930 with a name given to at least five children of the same sex in the state.
Names that stood out in South Dakota in 1930
Names given at least 15 times in South Dakota that year and at least twice as common as in the US as a whole.
Girls
- Marlys: 24 babies, 22.7× the national rate
- Lavonne: 33 babies, 17.4× the national rate
- Mavis: 42 babies, 15.8× the national rate
- Darlene: 105 babies, 13.6× the national rate
- Dona: 18 babies, 8.9× the national rate
- Deloris: 30 babies, 6.8× the national rate
- Ramona: 44 babies, 6.2× the national rate
- Clarice: 15 babies, 5.6× the national rate
- Donna: 165 babies, 5.5× the national rate
- Delores: 111 babies, 5.4× the national rate
Boys
- Darrel: 15 babies, 10.8× the national rate
- Lyle: 52 babies, 10.5× the national rate
- Darrell: 39 babies, 9× the national rate
- Duane: 68 babies, 8.6× the national rate
- Laverne: 16 babies, 7.6× the national rate
- Merle: 27 babies, 7.3× the national rate
- Harlan: 16 babies, 7.2× the national rate
- Myron: 23 babies, 6.2× the national rate
- Orville: 23 babies, 5.9× the national rate
- Eldon: 17 babies, 5.7× the national rate
Top 50 girls' and boys' names in South Dakota, 1930
| Rank | Name | Babies | vs 1929 | US rank |
|---|---|---|---|---|
| 1 | Betty | 258 | ↑1 | 2 |
| 2 | Mary | 238 | ↓1 | 1 |
| 3 | Dorothy | 181 | – | 3 |
| 4 | Donna | 165 | ↑1 | 37 |
| 5 | Beverly | 127 | ↑7 | 34 |
| 6 | Shirley | 115 | ↓2 | 11 |
| 7 | Lois | 113 | ↓1 | 17 |
| 8 | Delores | 111 | ↑8 | 66 |
| 9 | Joyce | 109 | ↓1 | 18 |
| 10 | Darlene | 105 | ↑7 | >100 |
| 11 | Doris | 104 | ↓4 | 9 |
| 12 | Helen | 103 | ↓1 | 4 |
| 13 | Patricia | 94 | – | 7 |
| 14 | Ruth | 88 | ↓4 | 10 |
| 15 | Phyllis | 87 | ↓6 | 28 |
| 16 | Margaret | 76 | ↓2 | 5 |
| 17 | Marilyn | 73 | ↑24 | 22 |
| 18 | Joan | 71 | ↑20 | 8 |
| 19 | Virginia | 70 | ↑12 | 12 |
| 20 | Lorraine | 67 | ↑4 | 46 |
| 21 | Evelyn | 65 | ↓3 | 19 |
| 22 | Marjorie | 63 | ↓3 | 32 |
| 23 | Alice | 62 | ↓8 | 20 |
| 24 | Arlene | 61 | ↑1 | >100 |
| 25 | Jean | 60 | ↓5 | 14 |
| 26 | Dolores | 58 | ↓4 | 13 |
| 27 | Carol | 51 | ↑8 | 54 |
| 28 | Norma | 50 | – | 25 |
| 29 | Elaine | 49 | ↑4 | 69 |
| 30 | Irene | 49 | ↓9 | 33 |
| 31 | Bonnie | 48 | ↓5 | 78 |
| 32 | Barbara | 46 | – | 6 |
| 33 | Esther | 44 | ↑3 | 77 |
| 34 | Ramona | 44 | ↓4 | >100 |
| 35 | Gladys | 42 | ↓12 | 48 |
| 36 | Mavis | 42 | ↑14 | >100 |
| 37 | Mildred | 41 | ↑12 | 21 |
| 38 | Rose | 40 | ↑1 | 29 |
| 39 | Florence | 39 | ↑6 | 38 |
| 40 | Frances | 38 | ↓11 | 16 |
| 41 | Bernice | 37 | ↑2 | 58 |
| 42 | Elizabeth | 36 | new | 15 |
| 43 | Maxine | 35 | ↓16 | 93 |
| 44 | Lavonne | 33 | new | >100 |
| 45 | Leona | 33 | new | >100 |
| 46 | Anna | 31 | ↓4 | 23 |
| 47 | Gloria | 31 | new | 30 |
| 48 | Lucille | 31 | ↓4 | 59 |
| 49 | Deloris | 30 | new | >100 |
| 50 | June | 30 | new | 47 |
| Rank | Name | Babies | vs 1929 | US rank |
|---|---|---|---|---|
| 1 | Robert | 384 | – | 1 |
| 2 | Donald | 325 | – | 7 |
| 3 | James | 220 | ↑2 | 2 |
| 4 | John | 202 | – | 3 |
| 5 | Richard | 189 | ↓2 | 5 |
| 6 | William | 151 | – | 4 |
| 7 | Charles | 114 | ↑1 | 6 |
| 8 | Kenneth | 113 | ↓1 | 17 |
| 9 | Harold | 108 | ↑1 | 18 |
| 10 | George | 89 | ↑1 | 8 |
| 11 | Dale | 74 | ↑5 | 64 |
| 12 | Raymond | 73 | ↓3 | 16 |
| 13 | Marvin | 72 | ↓1 | 48 |
| 14 | Eugene | 71 | – | 21 |
| 15 | Wayne | 70 | ↑3 | 65 |
| 16 | Duane | 68 | ↑7 | >100 |
| 17 | Jack | 68 | ↑15 | 14 |
| 18 | Edward | 63 | ↓3 | 10 |
| 19 | Walter | 58 | ↑1 | 19 |
| 20 | Gerald | 56 | ↑15 | 30 |
| 21 | Paul | 56 | ↓8 | 12 |
| 22 | Leonard | 54 | ↑14 | 45 |
| 23 | Leroy | 54 | ↑7 | 53 |
| 24 | Lyle | 52 | ↑13 | >100 |
| 25 | Clarence | 49 | ↑19 | 39 |
| 26 | Thomas | 47 | ↓9 | 11 |
| 27 | Ronald | 46 | ↓5 | 37 |
| 28 | Melvin | 45 | ↓9 | 50 |
| 29 | David | 42 | ↑16 | 15 |
| 30 | Frank | 42 | new | 13 |
| 31 | Ralph | 40 | ↑8 | 25 |
| 32 | Vernon | 40 | ↑14 | 72 |
| 33 | Darrell | 39 | new | >100 |
| 34 | Joseph | 38 | ↓5 | 9 |
| 35 | Roger | 38 | new | 58 |
| 36 | Francis | 37 | ↓15 | 42 |
| 37 | Lawrence | 36 | new | 36 |
| 38 | Roy | 36 | ↑3 | 33 |
| 39 | Albert | 35 | ↑11 | 24 |
| 40 | Bernard | 35 | new | 52 |
| 41 | Earl | 35 | ↓10 | 38 |
| 42 | Gene | 35 | ↓4 | 70 |
| 43 | Harry | 35 | ↑4 | 28 |
| 44 | Dean | 34 | ↓1 | >100 |
| 45 | Don | 34 | new | 68 |
| 46 | Arthur | 33 | ↓21 | 23 |
| 47 | Elmer | 32 | new | 80 |
| 48 | Gordon | 32 | new | 77 |
| 49 | Jerry | 32 | new | 51 |
| 50 | Clifford | 31 | ↓16 | 73 |
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