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pupil

noun/ˈpjuːpəl/

A student.

“She was his best pupil.”

Origin

Where pupil comes from

Latin pupillus, a little orphan or ward. It meant a child in someone’s care before it meant a child in a classroom.1

Route to English

  1. pupillusLatin. “orphan”.
  2. pupilleFrench.
  3. pupilEnglish.

Synonyms

Synonyms and antonyms for pupil

Synonyms

  • A studentstudent, schoolchild.2

Antonyms

Wiktionary and WordNet list no antonym for pupil, so there is none to print.21

Measured

The word, measured

Psychologists have asked thousands of people about tens of thousands of words. Here is where pupil lands in six of those datasets.

100.0%

How many people know it

Of 369 people shown it, 100.0% said they knew it, more than for 97% of the 61,855 words tested. Estimates by group: Americans 99.5%, British 99.5%, men 98.8%, women 99.5%.3

0%100%
8years

When people learn it

The average age adults recall learning it, earlier than about 82% of 31,105 words. The middle word on the list comes at 11.2. These are adults’ estimates, so read them as a rough guide.4

age 0age 25
3.2per million

How often it’s said

Uses per million words in American film and TV subtitles, Zipf score 3.50, higher than 89% of the list.53

4.55of 5

How concrete it feels

People rate it as something you can experience directly, more so than 88% of 39,954 words. Agreement is high: 29 raters, standard deviation 0.63.6

abstractconcrete
5.53of 9

How it feels emotionally

It leans pleasant, above 62% of 13,915 words, and raters mostly agree (standard deviation 1.17). It’s calmer than 66% of those words, at 3.76. On dominance it scores 5.17, lower than 54%, meaning people feel less in control.7

unpleasantpleasant
Sight

Which sense it calls up

Sight comes first, stronger than for 96% of 39,707 words.8

Sight
4.35
Hearing
1.25
Inside the body
0.70
Touch
0.70
Smell
0.15
Taste
0.10

Scale 0 to 5.

Ratings come from panels of roughly 20 to 30 people per word, asked about the word out of context. Percentages are how pupil ranks among the words in that dataset.

Over time

How often books have used pupil

Google counted the words in millions of scanned English books. This line shows how often pupil turned up in them from 1700 on.

pupil
Uses per million words in English books, Google Books Ngram, 3-year smoothing.9 In 2022 the rate was 4.76 per million; the highest point was 17.08 in 1887. The count covers every use of the spelling, whichever sense it carries.

Where does your vocabulary land?

Twelve words, each known by fewer Americans than the last. See your estimate against the same 221,268 people in the study above.3

Measure my vocabulary

Sources

Where every claim comes from

The numbers in the measured section were calculated from the data files listed below. The story and route come from the Lexicist word card, checked against Wiktionary. Synonyms and antonyms come from Datamuse and Wiktionary. Checked on 6 November 2026. If something is wrong, write to hello@lexicist.com.

  1. Wiktionary, “pupil”, English section. en.wiktionary.org/wiki/pupil
  2. Datamuse API, related words for “pupil”: rel_syn and rel_ant. Datamuse’s lists are based on WordNet.
  3. Brysbaert, M., et al. “Word prevalence norms for 62,000 English lemmas”. Behavior Research Methods 51 (2019): 467–479. doi.org/10.3758/s13428-018-1077-9
  4. Kuperman, V., et al. “Age-of-acquisition ratings for 30,000 English words”. Behavior Research Methods 44 (2012): 978–990. doi.org/10.3758/s13428-012-0210-4
  5. Brysbaert, M., and B. New. “Moving beyond Kučera and Francis”. Behavior Research Methods 41 (2009): 977–990. doi.org/10.3758/BRM.41.4.977
  6. Brysbaert, M., et al. “Concreteness ratings for 40 thousand generally known English word lemmas”. Behavior Research Methods 46 (2014): 904–911. doi.org/10.3758/s13428-013-0403-5
  7. Warriner, A. B., et al. “Norms of valence, arousal, and dominance for 13,915 English lemmas”. Behavior Research Methods 45 (2013): 1191–1207. doi.org/10.3758/s13428-012-0314-x
  8. Lynott, D., et al. “The Lancaster Sensorimotor Norms”. Behavior Research Methods 52 (2020): 1271–1291. doi.org/10.3758/s13428-019-01316-z
  9. Google Books Ngram Viewer, English 2019 corpus, 1700–2022, smoothing 3. Open the chart. Method: Michel, J.-B., et al. Science 331 (2011): 176–182. doi.org/10.1126/science.1199644

Audio credit

Recording: Neskaya (US), CC BY-SA 3.0, via Wikimedia Commons.

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