Color Survey Results

Who in the rainbow can draw the line where the violet tint ends and the orange tint begins? Distinctly we see the difference of the colors, but where exactly does the one first blendingly enter into the other? So with sanity and insanity.
—Herman Melville, Billy Budd

Orange, red? I don’t know what to believe anymore!
—Anonymous, Color Survey

—Anonymous, Color Survey

Thank you so much for all the help on the color survey.  Over five million colors were named across 222,500 user sessions.  If you never got around to taking it, it’s too late to contribute any data, but if you want you can see how it worked and take it for fun here.

First, a few basic discoveries:

  • If you ask people to name colors long enough, they go totally crazy.
  • “Puke” and “vomit” are totally real colors.
  • Colorblind people are more likely than non-colorblind people to type “fuck this” (or some variant) and quit in frustration.
  • Indigo was totally just added to the rainbow so it would have 7 colors and make that “ROY G. BIV” acronym work, just like you always suspected. It should really be ROY GBP, with maybe a C or T thrown in there between G and B depending on how the spectrum was converted to RGB.
  • A couple dozen people embedded SQL ‘drop table’ statements in the color names. Nice try, kids.
  • Nobody can spell “fuchsia”.

Overall, the results were really cool and a lot of fun to analyze.  There are some basic limitations of this survey, which are discussed toward the bottom of this post.  But the sheer amount of data here is cool.


By a strange coincidence, the same night I first made the color survey public, the webcomic Doghouse Diaries put up this comic (which I altered slightly to fit in this blog, click for original):

It was funny, but I realized I could test whether it was accurate (as far as chromosomal sex goes, anyway, which we asked about because it’s tied to colorblindness) [Note: For more on this distinction, see my follow-up post]. After the survey closed, I generated a version of the Doghouse Diaries comic with actual data, using the most frequent color name for the handful of colors in the survey closest to the ones in the comic:

Basically, women were slightly more liberal with the modifiers, but otherwise they generally agreed (and some of the differences may be sampling noise).  The results were similar across the survey—men and women tended on average to call colors the same names.

So I was feeling pretty good about equality.  Then I decided to calculate the ‘most masculine’ and ‘most feminine’ colors.  I was looking for the color names most disproportionately popular among each group; that is, the names that the most women came up with compared to the fewest men (or vice versa).

Here are the color names most disproportionately popular among women:

  1. Dusty Teal
  2. Blush Pink
  3. Dusty Lavender
  4. Butter Yellow
  5. Dusky Rose

Okay, pretty flowery, certainly.  Kind of an incense-bomb-set-off-in-a-Bed-Bath-&-Beyond vibe.  Well, let’s take a look at the other list.

Here are the color names most disproportionately popular among men:

  1. Penis
  2. Gay
  3. WTF
  4. Dunno
  5. Baige

I … that’s not my typo in #5—the only actual color in the list really is a misspelling of “beige”.  And keep in mind, this is based on the number of unique people who answered the color, not the number of times they typed it.  This isn’t just the effect of a couple spammers. In fact, this is after the spamfilter.

I weep for my gender.  But, on to:

RGB Values

Here are RGB values for the first 48 out of about a thousand colors whose RGB values (across the average monitor, shown on a white background) I was able to pin down with a fairly high degree of precision:

The full table of 954 colors is here, also available as a text file here (I have no opinion about whether it should be used to build a new X11 rgb.txt except that seems like the transition would be a huge headache.)

The RGB value for a name is based on the location in the RGB color space where there was the highest frequency of responses choosing that name.  This was tricky to calculate.  I tried simple geometric means (conceptually flawed), a brute force survey of all potential center points (too slow), and fitting kernel density functions (math is hard). In the end, I used the average of a bunch of runs of a stochastic hillclimbing algorithm.  For mostly boring notes on my data handling for this list, see the comments at the bottom of the page.

Spelling and Spam

Spelling was an issue for a lot of users:

Now, you may notice that the correct spelling is missing.  This is because I can’t spell it either, and when running the analysis, used Google’s suggestion feature as a spellchecker:

A friend pointed out that to spell it right, you can think of it as “fuck-sia” (“fuch-sia”).

Misspellings aside, a lot of people spammed the database, but there were some decent filters in place.  I dropped out people who gave too many answers which weren’t colors used by many other people.  I also looked at the variation in hue; if people gave the same answer repeatedly for colors of wildly varying hue, I threw out all their results.  This mainly caught people who typed the same thing over and over.  Some were obviously using scripts; based on the filter’s certainty, the #1 spammer in the database was someone who named 2,400 colors—all with the same racial slur.


Here’s a map of color boundaries for a particular part of the RGB cube.  The data here comes from a portion of the survey (1.5 million results) which sampled only this region and showed the colors against both black and white backgrounds.

The data for this chart is here (3.6 MB text file with each RGB triplet named).  Despite some requests, I’m not planning to make a poster of any of this, since it seems wrong to take advantage of all this volunteer effort for a profit; I just wanted to see what the results looked like.  You’re welcome to print one up yourself (huge copy here), but keep in mind that print color spaces are different from monitor ones.

Basic Issues

Of course, there are basic issues with this color survey.  People are primed by the colors they saw previously, which adds overall noise and some biases to the data (although it all seemed to even out in the end).  Moreover, monitors vary; RGB is not an absolute color space.  Fortunately, what I’m really interested in is what colors will look like on a typical monitors, so most of this data is across the sample of all non-colorblind users on all types of monitors (>90% LCD, roughly 6% CRT).

Color is a really fascinating topic, especially since we’re taught so many different and often contradictory ideas about rainbows, different primary colors, and frequencies of light. If you want to understand it better, you might try the neat introduction in Chapter 35 ofThe Feynman Lectures on Physics (Vol. 1), read Charles Poynton’s Color FAQ, or just peruse links from the Wikipedia article on color.  For the purposes of this survey, we’re working inside the RGB space of the average monitor, so this data is useful for picking and naming screen colors. And really, if you’re reading this blog, odds are you probably—like me—spend more time looking at a monitor than at the outdoors anyway.


Lastly, here are some assorted things people came up with while labeling colors:

Thank you so much to relsqui for writing the survey frontend, and to everyone else who sacrificed their eyeballs for this project.  If you have ideas and want to analyze these results further, I’ve posted the raw data as an SQLite dump here (84 MB .tar.gz file). It’s been anonymized, with IPs, URLs, and emails removed.  I also have GeoIP information; if you’d like to do geocorrelation of some kind, I’ll be providing a version of the data with basic region-level lat/long information (limited to protect privacy) sometime in the next few days. Note: The ColorDB data is the main survey.  The SatOnly data is the supplementary survey covering only the RGB faces in the map, and was presented on a half-black half-white background.)

And, of course, if you do anything fun with this data, I’d love to see the results—let me know at

1,287 thoughts on “Color Survey Results

  1. Anecdote about fuchsia: Most famous Dutch musical writer Annie M.G. Schmidt was famous for her naughtiness. I imagine she may have had a bet with a friend that she couldn’t write the work ‘fuck’ into her television series in the 1960’s. So the story line in one episode centered around fuchsias, how these plants are easy to grow and universally loved. The refrain/chorus of the song about this wonderful plant featured the line “of the fuch-fuch-fuchsia” which sounds in Dutch like it sounds in English.


  2. It would be intersting to use this data to develop beter ways of histogramming or rotoscoping color into “common” or “human-perceived” colors. To more appropriately accomplish this, it would be nice to have whatever function you used to make the above map which maps an RGB value to a color name over the n most popular colors.


  3. Thank you so much for writing this. Never had this much fun with a scientifical study!! My cheeks hurt from laughing so hard! Keep up the good work.


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  8. If I register for this blog, will I get to your real name, or simply just the blog name as here?

    I’m in the middle of writing a finals paper on gender and color terms (due on Monday). I would like to mention your survey and your results, so I need a correct reference for my reference list!

    That would preferably include an author And then I will provide the link to this page an possibly to the raw data as well.

    I did a survey similar to yours so it would be excellent for me to compare the two!

    If I won’t know you’re name by registering, I would be so grateful if you would be so kind to maybe email it to me or somehing. It would be very helpful!


  9. Annie M.G. Schmidt was famous for a number of things, including a poem called “I’m Deliciously Naughty”, but not for sexual innuendo type naughtiness. The song about the fuchsia is just: a song about sharing plant cuttings to make the neighborhood prettier. The Dutch syllable “fuch” didn’t mean then what the English syllable “fuck” means now, even though they sound the same. The “Naughty” poem is about a toddler not wanting to sit politely or say “Yes, sir”, nothing racier.

    Not everything is about sex. Sheesh.


  10. His name is Randall Munroe, a former NASA roboticist and author of the popular nerd webcomic XKCD.


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  14. Anecdote about fuchsia: Most famous Dutch musical writer Annie M.G. Schmidt was famous for her naughtiness


  15. I’d love to take this test, can you re-upload it somewhere?
    The link doesn’t work.

    I’m surprised that men had this many choices of color.
    Most use the basic rainbow ones to describe colors.

    Boys got the 12 color crayon set and the girls got the 64 color set.
    Girls and women also use cosmetics like lipstick and nail polish, which come in an insane number of color names.
    Women also pick out carpeting and appliances for their homes, which come in differing colors every year.

    Below are some examples.

    Some examples from the article “Kitchen Appliance Color Choices”

    1950″s = Stratford Yellow, Sherwood Green, Turquoise Green, Cadet Blue, Woodtone Brown, Petal Pink, Canary Yellow

    1960’s = Charcoal Gray, Standard Yellow, Pink, Turquoise, Avocado Green, Harvest Gold.

    1970’s – Bright Poppy Red, Coppertone, Harvest Wheat, Onyx Black, Coffee, Fresh Avocado, Almond.

    Some color of the year examples from Pantone – Used by the fashion industry, so it’s used to match cosmetics,
    2000 – Cerulean Blue
    2001 – Fuchsia Rose
    2002 – True Red
    2003 – Aqua Sky
    2004 – Tiger Lily
    2005 – Blue Turquoise
    2006 – Sand Dollar
    2007 – Chili Pepper
    2008 – Blue Iris
    2009 – Mimosa
    2010 – Turquoise
    2011 – Honeysuckle
    2012 – Tangerine Tango
    2013 – Emerald
    Want more detail? Try this for a description of a few of these.

    Pantone Fashion Color Report Fall 2013

    PANTONE 17-5641 Emerald
    PANTONE 18-4434 Mykonos Blue
    PANTONE 15-0533 Linden Green
    PANTONE 19-3628 Acai
    PANTONE 19-1662 Samba
    PANTONE 17-1452 Koi
    PANTONE 18-0312 Deep Lichen Green
    PANTONE 19-2045 Vivacious
    PANTONE 19-4215 Turbulence
    PANTONE 19-1116 Carafe

    Since people complained about all the green shades, I’ve added some examples from the article “50 Shades of Green”

    Benjamin Moore’s Aganthus Green 472 – a mossy green shade.
    Farrow and Ball’s Stone White 11 – the casual observer may not be able to tell if it is actually gray, green or taupe.
    Benjamin Moore’s Chic Lime 396 – to add some tropical or spring energy.

    I noticed that your list has some very, very, very old color names in it, like Robin’s Egg Blue and Prussian Blue.
    No one under 30 uses these color names.

    Overall I found this was very interesting.
    I hope more people make use of this information.


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  20. I’m late to this party (I ended up coming here from an Atlantic article), but it’s very interesting.

    A note about those adjective-plus color names that women came up with but men didn’t: Women got those from department stores and drug stores. Every one of those colors is credible as the name of a shade of eye shadow or lip gloss.


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  28. OK, I realize I’m trailing after a spam barrage (what language is that anyway?), but i wanted to say: Where’s mauve? We named a freakin’ decade after it, has it been so thoroughly forgotten?


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