Namebrain Data For Girls In 1934
| 1 | MARGARET |
| 2 | JEAN |
| 3 | MARY |
| 4 | JOAN |
| 5 | PATRICIA |
| 6 | SHEILA |
| 7 | BARBARA |
| 8 | DOREEN |
| 9 | JUNE |
| 10 | SHIRLEY |
| 11 | DOROTHY |
| 12 | JOYCE |
| 13 | MAUREEN |
| 14 | ELIZABETH |
| 15 | AUDREY |
| 16 | BRENDA |
| 17 | KATHLEEN |
| 18 | SYLVIA |
| 19 | EILEEN |
| 20 | PAMELA |
| 21 | BETTY |
| 22 | BERYL |
| 23 | ANN |
| 24 | IRENE |
| 25 | JANET |
| 26 | ANNE |
| 27 | RITA |
| 28 | PAULINE |
| 29 | MAVIS |
| 30 | IRIS |
| 31 | MARJORIE |
| 32 | VALERIE |
| 33 | DORIS |
| 34 | MARION |
| 35 | MARINA |
| 36 | CATHERINE |
| 37 | VERA |
| 38 | JOSEPHINE |
| 39 | EDNA |
| 40 | LILIAN |
| 41 | NORMA |
| 42 | ROSEMARY |
| 43 | PHYLLIS |
| 44 | HAZEL |
| 45 | EVELYN |
| 46 | EDITH |
| 47 | OLIVE |
| 48 | WINIFRED |
| 49 | FLORENCE |
| 50 | RUTH |
| 51 | ELSIE |
| 52 | MURIEL |
| 53 | MARIE |
| 54 | DAPHNE |
| 55 | FRANCES |
| 56 | CHRISTINE |
| 57 | THELMA |
| 58 | GLADYS |
| 59 | MARIA |
| 60 | GWENDOLINE |
| 61 | HILDA |
| 62 | VIOLET |
| 63 | HELEN |
| 64 | ROSE |
| 65 | CYNTHIA |
| 66 | ALICE |
| 67 | GILLIAN |
| 68 | ENID |
| 69 | ANNIE |
| 70 | YVONNE |
| 71 | FREDA |
| 72 | ELLEN |
| 73 | IVY |
| 74 | JANE |
| 75 | PEGGY |
| 76 | SARAH |
| 77 | MARLENE |
| 78 | NANCY |
| 79 | BRIDGET |
| 80 | DIANA |
| 81 | GRACE |
| 82 | TERESA |
| 83 | VERONICA |
| 84 | AGNES |
| 85 | ANGELA |
| 86 | CONSTANCE |
| 87 | JENNIFER |
| 88 | MARIAN |
| 89 | JILL |
| 90 | WENDY |
| 91 | ETHEL |
| 92 | JOY |
| 93 | JACQUELINE |
| 94 | GLORIA |
| 95 | LILY |
| 96 | MOLLY |
| 97 | HEATHER |
| 98 | MAY |
| 99 | MONICA |
| 100 | JUDITH |
