What Is Lexical Density?
Lexical Density: The proportion of content words (nouns, main verbs, adjectives and most adverbs) among all the words in a text, used as a measure of how informationally packed the text is.
Also known as: content word ratio
Lexical density measures how much of a text is made of content words, the words that carry meaning (nouns, main verbs, adjectives, adverbs), as opposed to function words that hold sentences together (articles, pronouns, prepositions, conjunctions, auxiliary verbs). A high-density text packs a lot of information into few words; a low-density text spreads it out. Spoken English typically has lower density than written English.
The formula
The best-known version comes from Jean Ure (1971):
M. A. K. Halliday (1985) proposed an alternative: the number of lexical items per clause. It produces different numbers, so always check which method a study used.
Content words vs function words
| Content (lexical) words | Function (grammatical) words |
|---|---|
| nouns: climate, researcher, decision | articles: the, a, an |
| main verbs: measure, decline, argue | pronouns: it, they, which |
| adjectives: rapid, significant, green | prepositions: in, of, on, with |
| adverbs: quickly, sharply, often | conjunctions and auxiliaries: and, but, is, have, will |
Function words are a small, closed class of a few hundred words, but they are the most frequent words in any text (see Zipf's law).
Worked examples
Written, academic: The researchers measured the rapid decline in coral reef health.
10 words; content words: researchers, measured, rapid, decline, coral, reef, health = 7. Lexical density = 70%.
Spoken, casual: Well, I think it was kind of a good idea to go there, you know.
15 words; content words: think, good, idea, go, know = 5. Lexical density ≈ 33%.
Both sentences are normal English. The difference reflects their register: speech uses more pronouns, fillers and grammatical scaffolding, while formal writing compresses ideas into noun phrases (the rapid decline in coral reef health).
Typical values
Ure (1971) analyzed a range of English texts and found that spoken texts mostly had a lexical density below 40 percent, while written texts were mostly 40 percent or above. Results vary with the exact counting rules (for example, whether kind of or there counts as content), so use density to compare texts measured the same way rather than as an absolute score.
Why lexical density matters for learners
- Reading difficulty. Dense texts demand more vocabulary per sentence. A learner might read a chatty blog post comfortably and struggle with a news article on the same topic, partly because of density. The readability checker shows related measures such as Flesch-Kincaid grade.
- Academic writing. University writing usually expects higher density: The rise in temperature caused crop failure rather than Because it got hotter, the crops failed. Learning to nominalize is a key academic skill.
- Clarity. Too much density makes writing hard to follow. Plain-language guidelines effectively recommend lowering it for general audiences.
How to use it
- Take a short paragraph of your writing and count by hand: mark every noun, main verb, adjective and adverb, then divide by the total word count. (For the related measure of word variety, use the lexical diversity calculator.)
- Compare it with a model text of the type you want to write: a journal article, a news report, a blog post.
- If your academic writing is much lower, try replacing clauses with noun phrases and cutting fillers. If your general writing is very high, unpack some noun phrases into verbs.
Common mistakes
- Confusing density with diversity. Density counts content words; type-token ratio counts different words.
- Treating it as a quality score. Higher is not better. The right density depends on audience and purpose.
- Comparing numbers from different methods. Ure-style percentages and Halliday-style per-clause figures are not interchangeable.
Sources: Ure, J. (1971), Lexical density and register differentiation, in Applications of Linguistics; Halliday, M. A. K. (1985), Spoken and Written Language.
Frequently asked questions
How do you calculate lexical density?
Count the content words (nouns, main verbs, adjectives and adverbs), divide by the total number of words and multiply by 100. A 20-word sentence with 9 content words has a lexical density of 45 percent.
What is a normal lexical density?
Ure (1971) found that spoken texts typically had a lexical density below 40 percent, while written texts were usually 40 percent or higher. Dense academic and news writing can go well above 50 percent.
What is the difference between lexical density and lexical diversity?
Lexical density measures how many words are content words. Lexical diversity, often measured with the type-token ratio, measures how many different words are used. A text can be dense but repetitive, or varied but light.
Is high lexical density good?
Not necessarily. High density packs more information into fewer words, which suits academic writing, but it makes text harder to read. Conversation and instructions for general readers are clearer with lower density.
Related terms
Type-Token Ratio (TTR)
A measure of lexical diversity calculated by dividing the number of different words (types) in a text by the total number of words (tokens). Higher values mean more varied vocabulary.
Register
The variety of language a speaker chooses for a particular situation, audience and purpose, especially its level of formality, as in kids (informal), children (neutral) and offspring (formal or technical).
High-Frequency Words
The most common words of a language, usually defined as the first 2,000 to 3,000 word families, which together make up the large majority of the words in everyday speech and writing.
Zipf's Law
The observation that in a large body of text, a word's frequency is roughly inversely proportional to its frequency rank, so the second most common word occurs about half as often as the first and the third about a third as often.
Flesch–Kincaid Readability
a pair of formulas, the Flesch Reading Ease score and the Flesch–Kincaid Grade Level, that estimate how difficult an English text is to read from its average sentence length and average syllables per word.
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