Common First Names by Universities

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 university 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 by the number of people affiliated with each university. For example, Eliot has a rank = 498, which means Eliot is the 498th common name in Harvard university.
  5. "Gender" column reports how many % of people who use that name is female.
  6. "Proportion" column reports "the number of profiles with that first name" out of the total number of profile in that university.
  7. Due to the nature of some social networking sites, this list has more male name counts.
  8. We only display universities with more than 20000 profiles analyzed and first names appear at least on 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, Jennifer has a p-ratio=0.793, implying Jennifer (in the USA) is 0.793 times more likely to be affiliated with HARVARD UNIVERSITY than an average person.

All Female Male Unisex Back to Start Page



Share via your favorite social networking service



List of First Names at HARVARD UNIVERSITY based on 129 Thousand profiles

  Rank     First Name       P-Ratio Proportion(%) Gender(%) Caucasian(%)   African(%)   Asian(%)   Hispanic(%)
10 Jennifer 0.79 0.52 99.67 72.46 10.67 13.32 4.85
19 Tom 0.79 0.40 0.44 81.04 11.86 4.87 2.22
146 Leslie 0.79 0.10 70.12 72.83 11.29 8.02 7.92
410 Nate 0.79 0.03 8.08 79.69 13.74 3.02 4.24
60 Frank 0.79 0.19 0.51 70.81 9.19 10.03 10.87
261 Vincent 0.78 0.05 0.42 58.38 9.27 33.29 6.50
347 Ana 0.78 0.03 99.39 44.40 5.21 1.70 48.98
335 Maggie 0.78 0.04 99.75 74.66 13.43 9.40 1.61
145 Roger 0.77 0.10 0.38 80.19 10.80 7.37 2.28
490 Miguel 0.77 0.02 0.58 14.60 4.28 2.32 78.24
270 Phillip 0.76 0.05 0.43 67.98 18.15 8.58 5.64
322 Stan 0.76 0.04 0.00 74.15 12.07 13.42 2.25
413 Lynne 0.76 0.03 99.27 84.31 9.05 4.52 1.90
476 Oscar 0.76 0.02 0.55 37.73 3.04 12.63 48.19
125 Jeremy 0.76 0.11 0.54 78.59 10.36 9.90 2.30
248 Jacqueline 0.76 0.05 99.67 72.93 16.47 4.68 8.72
111 Katie 0.75 0.13 99.79 80.87 11.63 2.92 4.36
271 Allen 0.75 0.05 0.69 68.78 12.14 20.20 1.88
179 Donald 0.75 0.08 0.39 81.67 13.03 3.46 1.81
356 Kent 0.75 0.03 0.25 79.50 11.24 6.88 1.61
250 Heidi 0.75 0.05 99.74 81.19 7.44 8.95 1.89
277 Ralph 0.75 0.04 0.44 75.12 13.22 0.87 10.88
311 Jeanne 0.75 0.04 99.78 73.99 13.99 11.06 2.46
85 Christine 0.75 0.15 99.65 65.97 10.99 19.02 6.06
551 Candace 0.74 0.02 99.81 78.64 16.89 0.60 2.07
397 Dorothy 0.74 0.03 99.67 75.43 10.14 11.66 4.15
164 Fred 0.74 0.09 0.59 81.09 12.12 4.05 4.80
323 Drew 0.74 0.04 8.17 81.90 14.29 0.55 4.01
35 Bill 0.73 0.29 0.45 81.73 12.52 2.56 2.71
114 Ed 0.73 0.12 0.63 76.23 9.84 6.86 7.14
132 Megan 0.73 0.11 99.75 80.95 11.30 3.22 4.01
292 Lindsey 0.73 0.04 95.27 83.27 14.40 0.53 1.98
257 Vanessa 0.73 0.05 99.60 56.68 7.59 14.70 23.64
123 Aaron 0.73 0.11 0.76 78.94 11.59 3.26 6.91
97 Doug 0.73 0.14 0.02 83.88 12.15 1.67 2.18
133 Beth 0.72 0.11 99.80 82.70 10.95 1.68 4.36
20 Kevin 0.72 0.39 0.46 71.89 11.18 15.48 2.23
112 Nick 0.72 0.13 0.27 82.87 8.86 4.24 4.29
297 Roy 0.72 0.04 0.66 72.86 9.53 14.70 5.09
73 Patricia 0.72 0.16 99.69 68.09 10.38 5.83 15.08
50 Nancy 0.72 0.22 99.71 70.44 10.55 13.81 6.75
389 Kirk 0.72 0.03 0.29 79.69 17.60 0.63 1.54
552 Carole 0.71 0.02 99.76 70.60 15.40 19.22 1.67
339 Gerald 0.71 0.04 0.53 79.66 10.15 7.80 2.07
161 Diana 0.71 0.09 99.64 68.28 10.72 9.44 13.47
188 Samantha 0.71 0.07 99.79 72.82 12.33 11.88 4.01
303 Jen 0.71 0.04 81.59 68.61 10.90 4.94 16.67
344 Marcia 0.71 0.03 99.79 76.00 12.20 1.61 8.10
67 Ken 0.71 0.18 0.08 77.47 10.51 9.40 2.61
355 Tamara 0.70 0.03 99.68 73.98 20.08 4.25 1.94
51 Amy 0.70 0.22 99.73 74.00 10.02 14.56 3.97
480 Andre 0.70 0.02 1.83 63.16 10.82 12.40 10.48
183 Phil 0.70 0.08 0.37 78.65 11.03 7.31 2.76
367 Jaime 0.70 0.03 42.96 44.92 6.15 2.63 47.36
227 Tyler 0.70 0.06 2.70 80.06 10.56 8.24 2.09
235 Sheila 0.70 0.06 99.73 74.89 15.48 2.40 6.58
406 Melinda 0.69 0.03 99.75 66.38 18.32 8.82 5.75
221 Carlos 0.69 0.06 0.73 21.14 1.40 4.47 75.59
436 Jenna 0.69 0.03 99.82 84.29 10.67 2.09 1.87
405 Sylvia 0.69 0.03 99.62 43.34 6.59 35.78 16.86
465 Evelyn 0.68 0.02 99.66 44.34 4.45 33.21 20.03
252 Derek 0.68 0.05 0.40 75.12 14.29 7.98 4.03
461 Audrey 0.68 0.02 98.92 66.43 21.50 12.55 5.61
92 Justin 0.68 0.14 0.49 72.55 11.02 15.68 2.63
375 Mario 0.68 0.03 0.77 46.60 5.77 9.67 39.94
148 Pamela 0.68 0.09 99.77 77.48 13.28 6.53 1.88
363 Kristina 0.67 0.03 99.74 54.83 7.74 25.51 16.47
483 Austin 0.67 0.02 1.05 68.58 13.75 9.17 7.35
91 Anthony 0.67 0.14 0.50 74.34 9.44 6.98 10.78
522 Fran 0.67 0.02 93.34 86.73 5.17 2.41 6.16
481 Blake 0.67 0.02 3.75 77.67 11.92 7.07 1.95
535 Rosemary 0.67 0.02 99.77 80.83 12.97 6.44 1.63
251 Joanne 0.67 0.05 99.76 75.45 8.98 11.33 4.62
28 Lisa 0.67 0.34 99.71 76.16 10.90 7.90 6.42
22 Scott 0.67 0.39 0.34 81.68 12.18 3.16 2.90
333 Taylor 0.67 0.04 74.05 76.47 12.75 7.56 5.27
471 Zach 0.67 0.02 0.00 88.08 11.16 0.42 1.92
56 Stephanie 0.67 0.21 99.64 66.83 12.32 16.26 6.82
162 Cynthia 0.67 0.09 99.72 63.24 13.58 13.00 11.62
18 Jim 0.66 0.40 0.53 81.05 11.71 4.70 2.74
507 Monique 0.66 0.02 99.52 75.57 12.02 9.58 2.90
232 Holly 0.66 0.06 99.23 82.51 10.30 1.97 4.33
340 Veronica 0.66 0.04 99.61 51.47 10.08 7.65 33.69
430 Brooke 0.66 0.03 98.92 79.67 16.44 2.14 1.65
52 Matt 0.66 0.22 0.02 84.26 10.80 2.02 2.78
345 Claudia 0.66 0.03 99.40 67.29 9.58 2.69 19.10
519 Katrina 0.65 0.02 99.76 63.08 19.45 12.78 6.05
121 Dennis 0.65 0.12 0.43 72.43 10.55 12.03 5.81
189 Paula 0.65 0.07 99.68 77.07 13.18 3.13 7.53
489 Adrian 0.65 0.02 6.56 63.95 7.12 0.88 29.01
276 Raymond 0.65 0.04 0.46 51.08 8.83 25.35 20.37
534 Lou 0.65 0.02 90.62 78.01 10.49 1.10 10.00
27 Brian 0.64 0.35 0.39 78.49 11.82 7.70 2.99
284 Sally 0.64 0.04 99.68 75.82 9.88 12.12 1.93
59 Julie 0.64 0.19 99.70 73.30 9.80 13.64 4.55
228 Valerie 0.64 0.06 99.73 70.91 12.53 14.68 4.14
512 Art 0.63 0.02 0.09 79.98 10.39 0.96 8.49
213 Dana 0.63 0.06 78.25 83.23 11.34 3.58 2.31
193 Monica 0.63 0.07 99.60 55.88 7.97 10.42 26.84
288 Alicia 0.63 0.04 99.68 59.25 13.93 10.56 15.90
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.