# 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, Kara has a p-ratio=0.218, implying Kara (in the USA) is 0.218 times more likely to work at IBM than an average person.

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(%)
754 Kara 0.22 0.01 99.71 84.00 12.06 3.67 1.77
675 Barb 0.22 0.01 100.00 79.41 9.66 4.58 6.56
388 Becky 0.22 0.02 99.83 76.75 13.45 6.20 2.90
115 Sarah 0.21 0.07 99.69 78.21 10.76 8.38 2.99
257 Christina 0.21 0.03 99.58 64.36 8.57 16.07 12.04
539 Lindsay 0.21 0.01 96.17 85.50 11.09 0.88 1.70
226 Katie 0.21 0.04 99.79 80.44 12.31 5.32 2.42
712 Virginia 0.21 0.01 99.69 76.55 11.81 0.81 9.25
501 Vanessa 0.21 0.01 99.61 59.85 12.38 6.74 22.47
208 Rachel 0.21 0.04 99.68 67.19 12.17 12.26 9.21
252 Erin 0.21 0.03 97.16 84.76 12.38 1.42 1.61
836 Kelli 0.21 0.01 99.60 82.61 14.96 0.50 1.79
403 Stacy 0.21 0.02 88.02 79.04 10.56 4.35 4.87
423 Allison 0.21 0.02 98.68 83.31 12.15 0.57 4.32
708 Jodi 0.21 0.01 98.87 80.02 15.98 0.49 1.67
648 Kay 0.21 0.01 96.25 68.14 23.44 5.35 3.63
812 Meredith 0.21 0.01 94.38 80.46 12.49 4.02 1.58
777 Nikki 0.20 0.01 97.78 62.43 7.30 21.59 9.91
595 Jen 0.20 0.01 81.59 71.74 7.93 4.93 14.04
377 Kristin 0.20 0.02 99.10 83.10 12.28 0.77 4.20
507 Crystal 0.20 0.01 99.64 53.60 11.74 27.58 7.39
629 Taylor 0.20 0.01 74.05 81.55 13.90 0.56 1.59
125 Jessica 0.19 0.06 99.66 68.51 9.18 13.38 10.83
240 Lauren 0.19 0.03 98.76 81.11 12.60 1.83 4.23
317 Tammy 0.19 0.03 99.58 77.36 12.81 4.94 4.85
707 Shelly 0.19 0.01 97.46 70.90 13.19 13.87 4.93
201 Amanda 0.19 0.04 99.73 78.44 13.23 4.17 4.04
302 Megan 0.18 0.03 99.75 81.13 10.59 1.70 7.00
360 Danielle 0.18 0.02 99.48 72.78 16.72 2.86 7.39
587 Angie 0.18 0.01 99.79 62.69 17.83 9.08 10.74
670 Molly 0.18 0.01 99.77 77.17 7.91 0.75 13.46
598 April 0.17 0.01 99.72 65.97 11.34 18.11 6.13
683 Lindsey 0.17 0.01 95.27 86.83 7.52 0.60 4.34
441 Samantha 0.17 0.02 99.79 62.45 11.40 22.10 5.00
429 Tiffany 0.17 0.02 99.65 63.75 15.28 18.90 3.08
290 Ashley 0.15 0.03 98.17 78.86 12.25 7.78 2.56
610 Courtney 0.15 0.01 91.99 78.74 20.23 0.53 1.46
713 Amber 0.11 0.01 99.73 69.32 13.31 13.30 6.47