Popular baby names in South Dakota, 1931
The most popular baby names in South Dakota in 1931 were Betty for girls (239 babies) and Robert for boys (317). Betty ranked #2 nationally for girls. Social Security records list 11,064 babies born in South Dakota in 1931 with a name given to at least five children of the same sex in the state.
Names that stood out in South Dakota in 1931
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
- Lavonne: 40 babies, 19.3× the national rate
- Marlys: 27 babies, 18.9× the national rate
- Darlene: 109 babies, 11.6× the national rate
- Mavis: 25 babies, 10.3× the national rate
- Deloris: 30 babies, 6.3× the national rate
- Adeline: 16 babies, 6.3× the national rate
- Ramona: 30 babies, 5.1× the national rate
- Delores: 101 babies, 4.8× the national rate
- Marcella: 22 babies, 4.4× the national rate
- Donna: 140 babies, 4.1× the national rate
Boys
- Dwayne: 15 babies, 19× the national rate
- Lyle: 49 babies, 9.7× the national rate
- Laverne: 20 babies, 9.5× the national rate
- Merle: 30 babies, 8.5× the national rate
- Harlan: 19 babies, 8.4× the national rate
- Darrell: 37 babies, 8.3× the national rate
- Delmar: 15 babies, 7.9× the national rate
- Duane: 69 babies, 7.5× the national rate
- Myron: 20 babies, 5.5× the national rate
- Dean: 39 babies, 5.4× the national rate
Top 50 girls' and boys' names in South Dakota, 1931
| Rank | Name | Babies | vs 1930 | US rank |
|---|---|---|---|---|
| 1 | Betty | 239 | – | 2 |
| 2 | Mary | 229 | – | 1 |
| 3 | Dorothy | 142 | – | 3 |
| 4 | Donna | 140 | – | 32 |
| 5 | Beverly | 127 | – | 31 |
| 6 | Shirley | 119 | – | 9 |
| 7 | Patricia | 114 | ↑6 | 8 |
| 8 | Darlene | 109 | ↑2 | >100 |
| 9 | Delores | 101 | ↓1 | 58 |
| 10 | Joyce | 100 | ↓1 | 15 |
| 11 | Lois | 98 | ↓4 | 20 |
| 12 | Helen | 96 | – | 6 |
| 13 | Joan | 96 | ↑5 | 5 |
| 14 | Phyllis | 85 | ↑1 | 29 |
| 15 | Marilyn | 81 | ↑2 | 19 |
| 16 | Alice | 79 | ↑7 | 21 |
| 17 | Doris | 76 | ↓6 | 10 |
| 18 | Norma | 73 | ↑10 | 22 |
| 19 | Ruth | 73 | ↓5 | 11 |
| 20 | Lorraine | 70 | – | 49 |
| 21 | Arlene | 67 | ↑3 | 77 |
| 22 | Jean | 63 | ↑3 | 13 |
| 23 | Virginia | 62 | ↓4 | 12 |
| 24 | Evelyn | 61 | ↓3 | 24 |
| 25 | Margaret | 61 | ↓9 | 7 |
| 26 | Bonnie | 59 | ↑5 | 73 |
| 27 | Dolores | 55 | ↓1 | 14 |
| 28 | Barbara | 53 | ↑4 | 4 |
| 29 | Carol | 51 | ↓2 | 46 |
| 30 | Irene | 47 | – | 37 |
| 31 | Marjorie | 47 | ↓9 | 34 |
| 32 | Gladys | 45 | ↑3 | 55 |
| 33 | Elaine | 44 | ↓4 | 72 |
| 34 | June | 40 | ↑16 | 44 |
| 35 | Lavonne | 40 | ↑9 | >100 |
| 36 | Anna | 39 | ↑10 | 25 |
| 37 | Mildred | 38 | – | 26 |
| 38 | Maxine | 36 | ↑5 | >100 |
| 39 | Leona | 35 | ↑6 | >100 |
| 40 | Lucille | 35 | ↑8 | 62 |
| 41 | Marlene | 34 | new | 95 |
| 42 | Elizabeth | 33 | – | 16 |
| 43 | Geraldine | 33 | new | 38 |
| 44 | Audrey | 32 | new | 64 |
| 45 | Bernice | 32 | ↓4 | 63 |
| 46 | Florence | 32 | ↓7 | 43 |
| 47 | Janice | 31 | new | >100 |
| 48 | Joann | 31 | new | 90 |
| 49 | Deloris | 30 | – | >100 |
| 50 | Ramona | 30 | ↓16 | >100 |
| Rank | Name | Babies | vs 1930 | US rank |
|---|---|---|---|---|
| 1 | Robert | 317 | – | 1 |
| 2 | Donald | 285 | – | 7 |
| 3 | James | 221 | – | 2 |
| 4 | Richard | 202 | ↑1 | 5 |
| 5 | John | 199 | ↓1 | 3 |
| 6 | William | 150 | – | 4 |
| 7 | Kenneth | 120 | ↑1 | 14 |
| 8 | Charles | 112 | ↓1 | 6 |
| 9 | Eugene | 82 | ↑5 | 21 |
| 10 | George | 80 | – | 8 |
| 11 | Harold | 79 | ↓2 | 18 |
| 12 | Marvin | 78 | ↑1 | 45 |
| 13 | Duane | 69 | ↑3 | >100 |
| 14 | Paul | 67 | ↑7 | 12 |
| 15 | Wayne | 67 | – | 58 |
| 16 | Ronald | 66 | ↑11 | 27 |
| 17 | Dale | 64 | ↓6 | 62 |
| 18 | Raymond | 62 | ↓6 | 17 |
| 19 | Gerald | 61 | ↑1 | 26 |
| 20 | David | 60 | ↑9 | 13 |
| 21 | Roger | 58 | ↑14 | 53 |
| 22 | Leroy | 56 | ↑1 | 52 |
| 23 | Edward | 51 | ↓5 | 11 |
| 24 | Jack | 51 | ↓7 | 15 |
| 25 | Lyle | 49 | ↓1 | >100 |
| 26 | Thomas | 49 | – | 10 |
| 27 | Lawrence | 48 | ↑10 | 38 |
| 28 | Clarence | 46 | ↓3 | 39 |
| 29 | Melvin | 46 | ↓1 | 51 |
| 30 | Norman | 46 | new | 36 |
| 31 | Vernon | 44 | ↑1 | 74 |
| 32 | Leonard | 42 | ↓10 | 48 |
| 33 | Howard | 40 | new | 34 |
| 34 | Dean | 39 | ↑10 | >100 |
| 35 | Albert | 38 | ↑4 | 24 |
| 36 | Darrell | 37 | ↓3 | >100 |
| 37 | Earl | 37 | ↑4 | 40 |
| 38 | Joseph | 37 | ↓4 | 9 |
| 39 | Lloyd | 37 | new | 68 |
| 40 | Walter | 37 | ↓21 | 20 |
| 41 | Arthur | 36 | ↑5 | 23 |
| 42 | Clifford | 35 | ↑8 | 75 |
| 43 | Francis | 34 | ↓7 | 42 |
| 44 | Gene | 34 | ↓2 | 64 |
| 45 | Keith | 32 | new | >100 |
| 46 | Larry | 32 | new | 88 |
| 47 | Leo | 31 | new | 69 |
| 48 | Stanley | 31 | new | 49 |
| 49 | Merle | 30 | new | >100 |
| 50 | Bernard | 29 | ↓10 | 54 |
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