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How To Get Away With Murder characters personality data for the Statistical Quiz

The dataset of the Statistical "Which Character" Personality Quiz (SWCPQ) includes characters from the fictional universe of How To Get Away With Murder. The SWCPQ can operate as a "What How To Get Away With Murder character are you?" test, click the link above to access it. This page aggregates the crowd sourced data that the quiz is built upon.

Characters

The dataset has 10 characters from this universe. They are ordered in the list below by their notability (see Note 1).

Notability Name
91.25Annalise Keating
78.4Wes Gibbins
64.1Michaela Pratt
63.05Connor Walsh
57.95Laurel Castillo
47.0Frank Delfino
42.65Nate Lahey
41.65Bonnie Winterbottom
39.9Oliver Hampton
37.35Asher Millstone

To see how each character was rated by users, view their individual page.

Viewership

The graph below shows what percent of people selected this universe as something they knew well enough to rate characters from by the age of the user (for users between 16 and 60 years of age).
16% 0%
16
20
30
40
50
60

Rating

As part of the survey where they rated characters, users were also asked the question "How do you rate How To Get Away With Murder?". The distribution of their responses are below.

# Response Count
1 It's the worst 34
2 It's bad 49
3 It's okay 1157
4 It's good 3344
5 It's my favorite 729

This gives it an average score of 3.88 / 5. Making it 205th out of the 369 universes in the dataset ordered by rating.

The average rating may be hard to generalize, though; the users of one online personality quiz could not be representative of the population in important ways. And there are some very obvious things you can point to: users of this quiz are more likely to be young and more likely to be women.

There are several different ways that average ratings can be broken down. Here are average scores by gender:

Gender Average rating
Male 3.95
Female 3.88

The responses to the personality quiz can also be cross referenced with the universe ratings to see how personality affects it. The table below shows the correlation between a user's response to a specific self report item and their rating of this universe.

Item Correlation with rating n
fresh (not stinky)0.06565478
high-tech (not low-tech)0.06034860
mature (not juvenile)0.05984789
genius (not dunce)0.05645525
nurturing (not poisonous)0.05375479
disarming (not creepy)0.04795501
reasonable (not deranged)0.04475554
stylish (not slovenly)0.04275512
alpha (not beta)0.04215474
loyal (not traitorous)0.04195577
charming (not awkward)0.03835609
blissful (not haunted)0.03754821
orderly (not chaotic)0.0375525
bossy (not meek)0.0365532
altruistic (not selfish)0.02715481
conventional (not creative)0.02375614
social (not reclusive)0.02335485
mainstream (not arcane)0.02335487
deep (not shallow)0.02285562
obedient (not rebellious)0.02235515
sheriff (not outlaw)0.01925470
angelic (not demonic)0.01895474
logical (not emotional)0.01865568
adventurous (not stick-in-the-mud)0.01825483
intimate (not formal)0.01765511
feminine (not masculine)0.0165628
jock (not nerd)0.01575534
wild (not tame)0.01444886
scientific (not artistic)0.01444969
feisty (not gracious)0.00985474
lavish (not frugal)0.00785465
spiritual (not skeptical)0.00655547
indulgent (not sober)0.00445477
ivory-tower (not blue-collar)0.00435458
lenient (not strict)0.00325599
sarcastic (not genuine)0.00024864

How these items predict the ratings for this universe can be compared to how the same items predict the ratings of other universes. The universes with the most similar patterns on the predictors are:

Notes

  1. Notability is computed as the average of 204: important (not irrelevant) and 401: main character (not side character).
  Updated: 24 February 2026
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