Popular baby names in South Dakota, 1936
The most popular baby names in South Dakota in 1936 were Shirley for girls (289 babies) and Robert for boys (298). Shirley ranked #2 nationally for girls. Social Security records list 10,405 babies born in South Dakota in 1936 with a name given to at least five children of the same sex in the state.
Names that stood out in South Dakota in 1936
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: 35 babies, 19.4× the national rate
- Lavonne: 36 babies, 15.9× the national rate
- Lila: 25 babies, 7.9× the national rate
- Darlene: 90 babies, 6.2× the national rate
- Ramona: 21 babies, 5× the national rate
- Deloris: 19 babies, 4.5× the national rate
- Colleen: 18 babies, 4.3× the national rate
- Violet: 22 babies, 3.9× the national rate
- Karen: 32 babies, 3.8× the national rate
- Connie: 30 babies, 3.6× the national rate
Boys
- Harlan: 18 babies, 8.8× the national rate
- Merle: 24 babies, 8.3× the national rate
- Lyle: 36 babies, 7.7× the national rate
- Dean: 50 babies, 7.3× the national rate
- Duane: 56 babies, 6.4× the national rate
- Darrell: 38 babies, 6.2× the national rate
- Loren: 16 babies, 5.7× the national rate
- Orville: 15 babies, 5.7× the national rate
- Eldon: 15 babies, 5.4× the national rate
- Keith: 36 babies, 5× the national rate
Top 50 girls' and boys' names in South Dakota, 1936
| Rank | Name | Babies | vs 1935 | US rank |
|---|---|---|---|---|
| 1 | Shirley | 289 | – | 2 |
| 2 | Mary | 226 | – | 1 |
| 3 | Betty | 151 | ↑1 | 4 |
| 4 | Donna | 124 | ↓1 | 22 |
| 5 | Beverly | 119 | ↑7 | 17 |
| 6 | Barbara | 106 | ↑1 | 3 |
| 7 | Carol | 106 | ↓2 | 10 |
| 8 | Marilyn | 103 | ↓2 | 13 |
| 9 | Patricia | 99 | ↓1 | 5 |
| 10 | Darlene | 90 | – | 83 |
| 11 | Joyce | 86 | ↑2 | 12 |
| 12 | Dorothy | 85 | ↓3 | 6 |
| 13 | Joan | 84 | ↓2 | 7 |
| 14 | Marlene | 84 | – | 39 |
| 15 | Janice | 78 | ↑1 | 31 |
| 16 | Lois | 76 | ↓1 | 26 |
| 17 | Helen | 71 | ↑7 | 11 |
| 18 | Phyllis | 62 | ↑1 | 25 |
| 19 | Janet | 61 | ↑12 | 21 |
| 20 | Jean | 60 | ↑15 | 20 |
| 21 | Sharon | 59 | ↑23 | 60 |
| 22 | Margaret | 57 | ↓2 | 9 |
| 23 | Doris | 56 | ↓5 | 15 |
| 24 | Delores | 55 | ↓7 | 58 |
| 25 | Norma | 55 | ↓4 | 29 |
| 26 | Arlene | 53 | ↓4 | 54 |
| 27 | Bonnie | 52 | ↓2 | 65 |
| 28 | Ruth | 52 | ↓5 | 16 |
| 29 | Virginia | 50 | ↓2 | 14 |
| 30 | Alice | 46 | ↓4 | 27 |
| 31 | Joann | 46 | ↓3 | 55 |
| 32 | Marjorie | 43 | ↓3 | 49 |
| 33 | Audrey | 39 | ↑1 | 68 |
| 34 | Frances | 39 | new | 19 |
| 35 | Elaine | 38 | ↓5 | 50 |
| 36 | Joanne | 36 | ↓4 | 48 |
| 37 | Lavonne | 36 | – | >100 |
| 38 | Marlys | 35 | ↑4 | >100 |
| 39 | Nancy | 34 | ↓6 | 8 |
| 40 | Karen | 32 | new | >100 |
| 41 | Rose | 32 | ↓2 | 37 |
| 42 | Evelyn | 31 | ↑8 | 34 |
| 43 | Kay | 31 | – | 98 |
| 44 | Connie | 30 | ↑1 | >100 |
| 45 | Gloria | 30 | ↓5 | 32 |
| 46 | Charlotte | 27 | ↑3 | 61 |
| 47 | Eleanor | 26 | – | 47 |
| 48 | Geraldine | 26 | new | 41 |
| 49 | Lorraine | 26 | ↓11 | 76 |
| 50 | Anna | 25 | new | 36 |
| Rank | Name | Babies | vs 1935 | US rank |
|---|---|---|---|---|
| 1 | Robert | 298 | – | 1 |
| 2 | James | 281 | ↑1 | 2 |
| 3 | Donald | 239 | ↓1 | 7 |
| 4 | Richard | 205 | – | 5 |
| 5 | John | 164 | – | 3 |
| 6 | Ronald | 124 | ↑2 | 12 |
| 7 | William | 116 | ↓1 | 4 |
| 8 | Roger | 104 | ↑2 | 35 |
| 9 | Larry | 101 | ↑4 | 25 |
| 10 | Kenneth | 95 | ↓1 | 14 |
| 11 | Charles | 89 | ↓4 | 6 |
| 12 | Gerald | 88 | ↓1 | 19 |
| 13 | Marvin | 74 | ↑6 | 49 |
| 14 | David | 71 | ↓2 | 10 |
| 15 | Jerry | 68 | ↑3 | 18 |
| 16 | Dale | 67 | ↓2 | 59 |
| 17 | George | 67 | ↑11 | 9 |
| 18 | Raymond | 65 | ↑9 | 17 |
| 19 | Dennis | 63 | ↑1 | 74 |
| 20 | Thomas | 62 | ↑6 | 8 |
| 21 | Wayne | 61 | ↑1 | 45 |
| 22 | Harold | 57 | ↑2 | 21 |
| 23 | Duane | 56 | ↓6 | >100 |
| 24 | Edward | 53 | ↑9 | 13 |
| 25 | Gary | 53 | – | 38 |
| 26 | Eugene | 52 | ↓5 | 29 |
| 27 | Dean | 50 | ↑5 | >100 |
| 28 | Jack | 47 | ↑1 | 20 |
| 29 | Leroy | 45 | ↓14 | 57 |
| 30 | Paul | 44 | ↓14 | 15 |
| 31 | Joseph | 43 | new | 11 |
| 32 | Melvin | 41 | ↑7 | 53 |
| 33 | Gene | 40 | ↑3 | 66 |
| 34 | Darrell | 38 | ↓3 | >100 |
| 35 | Jerome | 37 | new | 98 |
| 36 | Keith | 36 | ↑1 | >100 |
| 37 | Lawrence | 36 | ↓2 | 37 |
| 38 | Lyle | 36 | ↓15 | >100 |
| 39 | Don | 33 | new | 51 |
| 40 | Daniel | 32 | new | 41 |
| 41 | Francis | 32 | new | 50 |
| 42 | Ralph | 32 | ↓8 | 31 |
| 43 | Vernon | 32 | ↑1 | 93 |
| 44 | Gordon | 30 | ↓1 | 75 |
| 45 | Jim | 30 | new | 85 |
| 46 | Earl | 29 | ↑3 | 47 |
| 47 | Norman | 29 | ↓17 | 43 |
| 48 | Leonard | 28 | ↓2 | 54 |
| 49 | Allen | 26 | ↓11 | 81 |
| 50 | Floyd | 26 | new | 86 |
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