Gunning Fog Index Calculator
Computes Gunning Fog reading complexity index from words, sentences and complex words with three or more syllables in the text.
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Gunning Fog index: years of schooling needed to read the text
Robert Gunning (1952) came up with this index to estimate how many years of schooling a reader needs to get a passage on the first pass. The formula is fog = 0.4 Β· (words/sentences + 100Β·complex_words/words). Here complex_words means words with 3 or more syllables, leaving out proper nouns, compound words and verb inflections. Score it like this: 12 β US high-school senior, 17+ β post-graduate, ~8 β broad mass audience. For reference, the Wall Street Journal hovers around 11 and Reader's Digest around 9. In practice you want 7β8 for marketing copy, 9β12 for news, and 12+ is fine in technical or academic writing.
Applications
Journalism style guides lean on it (WSJ and Reuters both aim for roughly 11). It shows up in marketing and landing-page copy, where a lower fog tends to lift conversion. Teachers use it to grade ESL writing and to level EFL textbooks. It also helps with plain-language compliance in healthcare and legal documents, and in teaching academic writing.
FAQ
What counts as a "complex word"? Any word with 3 or more syllables, but with three exceptions: proper nouns (e.g., "Mississippi"), compound words made from simple parts ("bookkeeper"), and words that only cross the threshold because of a verb suffix ("-ed", "-es", "-ing").
Does it work for Portuguese? Only sort of. Portuguese leans on more polysyllables by nature, so the raw fog comes out inflated. For Portuguese text, reach for the PT-adapted Flesch instead, since Fog was calibrated for English.
How is it different from Flesch-Kincaid? Both spit out a grade level. The difference is what they weigh: Fog keys on word complexity (3+ syllables), while Flesch-Kincaid works off average syllables per word. The two usually land within 1β2 grades of each other.
What's a good target? For a mass audience, 7β9. For an educated general reader, 10β12. For a specialist or academic audience, 13β17. Push past 17 and even PhDs will struggle on a first read.
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