Common First Names by Companies

How to use?

  1. The list of first names is compiled by analyzing more than 50 million social networking profiles.
  2. To use this service, please FIRST click on one of the four buttons below; NEXT, select one company from the menu, and after you click 'submit', you will see the results.
  3. Statistics are reported in % form. For example, 1.43483 means 1.43483%.
  4. Rank is calculated within each company. For example, the most common female name may have a rank = 5, which means it is the 5th common name in that company.
  5. "Gender" column reports how many % of people who use that first name is female.
  6. "Proportion" column reports "the number of profiles with that first name" out of total number of profile in that company.
  7. Due to the nature of some social networking sites, this list has more male name counts.
  8. We only display companies with more than 20000 profiles analyzed and first names appear at least 25 profiles.
  9. Unisex names are defined as first names that are within 20%-80% range (i.e., less than 80% from one gender).

Results are sorted by p-ratio, which means how many times more likely to happen than an average case. For example, Cynthia has a p-ratio=0.374, implying Cynthia (in the USA) is 0.374 times more likely to work at IBM than an average person.

All Female Male Unisex Back to Start Page



Share via your favorite social networking service



List of First Names at IBM based on 324 Thousand profiles

  Rank     First Name       P-Ratio Proportion(%) Gender(%) Caucasian(%)   African(%)   Asian(%)   Hispanic(%)
171 Cynthia 0.37 0.05 99.72 68.86 16.65 11.17 4.84
61 Laura 0.37 0.12 99.68 79.69 10.83 1.95 6.95
669 Roberta 0.37 0.01 99.54 86.45 12.72 0.57 1.85
283 Peggy 0.37 0.03 99.73 80.86 13.72 3.42 1.72
295 Jacqueline 0.37 0.03 99.67 70.01 16.52 5.26 9.52
230 Margaret 0.37 0.04 99.70 82.29 10.94 3.73 3.23
540 Audrey 0.37 0.01 98.92 64.84 14.81 14.14 8.12
811 Leigh 0.37 0.01 88.70 84.77 9.85 2.30 2.10
148 Kathleen 0.37 0.06 99.76 80.18 8.86 7.61 2.82
406 Dustin 0.37 0.02 0.68 73.73 13.33 7.73 5.41
71 Kathy 0.37 0.11 99.78 79.90 11.74 5.06 3.99
262 Victoria 0.37 0.03 99.74 73.19 9.52 9.68 8.04
140 Cheryl 0.37 0.06 99.78 78.08 15.13 3.87 2.86
111 Christine 0.37 0.07 99.65 78.35 10.17 7.59 4.02
599 Sheryl 0.37 0.01 99.75 87.38 7.58 3.23 1.62
434 Regina 0.36 0.02 99.68 78.00 13.01 4.10 4.56
756 Emma 0.36 0.01 99.73 57.88 17.27 13.06 13.81
259 Jesse 0.36 0.03 2.78 78.33 10.23 1.99 9.22
484 Melinda 0.36 0.02 99.75 80.98 9.07 3.76 5.77
800 Jana 0.36 0.01 99.91 83.01 15.65 0.47 1.64
472 Jody 0.36 0.02 64.18 84.57 9.97 2.34 2.86
482 Sylvia 0.36 0.02 99.62 35.84 8.36 14.25 42.10
178 Michele 0.36 0.05 98.83 76.53 14.06 4.56 7.32
596 Sonia 0.36 0.01 99.56 47.16 9.66 32.35 12.94
430 Marcia 0.36 0.02 99.79 78.10 13.55 0.81 5.67
189 Sandy 0.36 0.04 86.83 72.02 14.78 10.08 3.56
500 Cory 0.36 0.01 4.93 80.31 18.10 2.60 1.44
556 Joanna 0.36 0.01 99.69 57.05 7.38 13.90 29.74
168 Pam 0.36 0.05 99.93 82.42 11.58 1.62 3.99
439 Tracey 0.36 0.02 90.95 81.75 14.99 1.69 1.84
157 Tracy 0.36 0.05 80.42 74.45 15.47 9.27 2.18
758 Tami 0.35 0.01 99.76 78.58 13.53 3.37 6.43
440 Alison 0.35 0.02 99.46 79.26 18.79 2.38 2.13
318 Heidi 0.35 0.03 99.74 72.60 10.75 9.07 10.14
564 Joey 0.35 0.01 10.58 55.35 11.42 27.11 10.25
210 Anne 0.35 0.04 99.74 83.97 10.74 2.10 2.16
576 Evelyn 0.35 0.01 99.66 59.62 17.11 13.77 12.78
386 Beverly 0.35 0.02 98.78 77.04 19.47 0.60 2.05
220 Carolyn 0.35 0.04 99.71 80.51 16.01 1.01 2.31
110 Carol 0.35 0.07 98.95 77.49 10.91 8.91 4.24
54 Mary 0.35 0.14 99.63 77.48 11.15 6.57 5.63
471 Jaime 0.35 0.02 42.96 43.71 3.74 3.69 50.21
293 Jacob 0.35 0.03 0.25 76.44 10.89 4.45 8.71
244 Laurie 0.35 0.03 98.84 87.35 8.71 1.39 2.08
121 Diane 0.35 0.07 99.73 79.04 13.95 2.97 3.91
279 Sheila 0.34 0.03 99.73 78.18 14.39 0.90 5.69
169 Josh 0.34 0.05 0.00 82.94 11.72 2.60 2.67
132 Lori 0.34 0.06 99.75 79.33 13.70 2.91 3.70
272 Janice 0.34 0.03 99.72 70.52 11.71 18.00 2.31
335 Vicki 0.34 0.02 99.81 73.60 17.46 5.60 3.04
692 Lynda 0.34 0.01 99.85 81.53 15.45 0.47 1.78
45 Lisa 0.34 0.17 99.71 78.44 11.63 4.57 5.32
574 Nate 0.34 0.01 8.08 83.53 8.58 0.92 8.12
307 Marie 0.34 0.03 99.59 75.83 12.96 4.92 7.41
709 Frances 0.34 0.01 99.16 80.17 13.08 6.70 1.74
554 Teri 0.34 0.01 99.52 77.88 12.47 7.30 3.74
75 Kim 0.34 0.11 83.73 76.82 13.84 6.31 3.56
127 Maria 0.34 0.06 99.22 59.37 8.40 6.73 29.07
408 Anita 0.34 0.02 99.68 58.87 8.84 26.97 5.93
190 Ann 0.33 0.04 99.71 78.83 15.09 2.29 4.81
141 Sandra 0.33 0.06 99.69 71.74 14.77 3.53 11.17
397 Jared 0.33 0.02 0.39 85.62 8.93 3.25 2.59
172 Beth 0.33 0.05 99.80 82.73 11.67 1.23 3.98
236 Katherine 0.33 0.03 99.71 75.42 12.48 8.32 5.10
155 Deborah 0.33 0.05 99.78 77.61 13.78 3.02 6.68
370 Deb 0.33 0.02 100.00 75.23 14.03 2.65 7.31
475 Zachary 0.33 0.02 0.29 82.74 10.39 5.79 1.52
690 Rosemary 0.33 0.01 99.77 83.06 14.76 2.19 1.71
450 Alexandra 0.33 0.02 99.61 81.43 5.43 1.14 12.77
667 Fran 0.33 0.01 93.34 89.24 10.91 0.40 1.97
394 Joy 0.33 0.02 98.17 53.85 14.20 33.06 2.59
491 Alice 0.33 0.02 99.65 67.18 8.99 21.02 1.59
506 Ana 0.33 0.01 99.39 46.73 2.18 1.27 47.15
152 Denise 0.33 0.05 99.63 73.73 14.73 9.32 3.58
555 Dorothy 0.32 0.01 99.67 74.21 16.41 2.53 7.02
273 Melanie 0.32 0.03 99.74 78.67 16.65 1.01 4.48
575 Annie 0.32 0.01 99.45 42.49 7.89 42.64 8.49
779 Adrienne 0.32 0.01 99.43 59.72 29.42 6.63 5.56
322 Bonnie 0.32 0.02 98.77 83.19 12.16 2.15 1.69
156 Judy 0.32 0.05 99.71 76.02 9.99 9.76 4.36
807 Garrett 0.32 0.01 0.36 75.67 15.89 5.08 4.95
305 Gail 0.32 0.03 95.75 76.76 16.89 3.65 3.23
331 Jordan 0.32 0.02 26.47 77.93 12.64 6.86 2.94
222 Anna 0.32 0.04 99.69 68.11 9.17 11.94 12.58
688 Vickie 0.32 0.01 99.65 78.36 17.01 2.57 5.42
128 Cindy 0.32 0.06 99.70 70.36 13.46 15.41 2.61
781 Shari 0.32 0.01 99.89 76.34 12.20 0.66 11.36
663 Ronnie 0.32 0.01 3.97 68.04 18.75 16.97 2.11
101 Barbara 0.32 0.08 99.71 81.49 13.05 1.01 4.63
735 Karla 0.31 0.01 99.64 73.59 17.83 0.61 6.77
285 Joyce 0.31 0.03 99.44 71.92 16.80 10.17 4.52
288 Jenny 0.31 0.03 99.33 52.74 12.07 35.42 2.84
223 Debra 0.31 0.04 99.79 74.06 12.16 4.59 10.39
287 Connie 0.31 0.03 97.45 72.02 11.43 16.22 3.10
163 Andrea 0.31 0.05 98.65 72.20 13.72 5.41 9.40
86 Julie 0.31 0.09 99.70 80.19 11.19 6.02 3.57
542 Tonya 0.31 0.01 99.64 72.88 23.80 0.44 1.56
755 Marlene 0.31 0.01 99.72 85.23 13.70 1.46 2.43
415 Jake 0.31 0.02 0.18 79.16 8.09 12.73 3.79
199 Jill 0.31 0.04 99.76 76.44 12.42 3.22 9.89
All Female Male Unisex Back to Start Page

Related Products at Amazon.com



Related Articles on Parenting-Checkpoint.com

  1. Stop Using a Mobile Phone or Not During Pregnancy: What Research Shows Its Impacts on Children?
  2. Intake of chocolate during pregnancy? Is there any benefit of consumption of chocolate during pregnancy?
  3. Should pregnant women eat more fish or fish oil? What are the real benefits and are there any drawbacks?


What are the features of Parenting Checkpoint?

Under "Parenting Q&A": We cover the questions about parenting skills that are of most concern to parents

Under "Parenting Q&A": We provide quick and research proven answers ONLY

Under "Viral Myths Buster": We bust the Internet myths and rumors

Under "Baby Names": We provide the state-of-the-art data analytics about names



Follow us on your favorite social sites

Parenting-Checkpoint














Disclaimer: Parenting-Checkpoint.com is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com.