Skip to content
Redmoon Calculators
Readability scores

Gunning Fog Index Calculator

The Gunning Fog Index estimates the years of formal education needed to understand a piece of text on first reading.

Built and maintained by Paul Clark, Redmoon Software · Last verified · Sources

When to use this

Use Gunning Fog when your goal is plain business writing — Robert Gunning created it for newsroom editors who needed a quick way to catch jargon. It is especially useful for evaluating financial reports, legal summaries, and corporate communications where multi-syllable words are easy to slip in unconsciously.

How it compares

Gunning Fog and SMOG both penalise polysyllabic words, but SMOG uses square-root scaling and is more conservative. Compared to Flesch–Kincaid, Fog is harsher on vocabulary and gentler on sentence length. Use Fog for business; use SMOG for health.

0 chars

How it works

The Gunning Fog index was created by Robert Gunning to identify text that is unnecessarily "foggy" or hard to understand.

It combines average sentence length with the percentage of "complex" words — words of 3+ syllables, with allowances for proper nouns, suffixes, and compound words.

A score of 12 corresponds to high-school senior level. Time and Newsweek typically score around 11.

Formula

FAQs

What is a complex word in Gunning Fog?

A word of 3 or more syllables, excluding proper nouns, familiar compound words (like "everywhere"), and words made polysyllabic by common suffixes (-ed, -es, -ing).

What score should I aim for?

Aim for under 12 for general audiences. Anything above 16 is considered very difficult to read.

Is Gunning Fog appropriate for business writing?

Yes. The Fog index was popularised by Robert Gunning specifically for business and journalistic writing.

Worked example

Input

The implementation requires consideration of consistency, observability, and serialization.

Output

Gunning Fog Index: 18.4 — Difficult (post-graduate).

Eleven words, but four are 3+ syllables. The Fog index multiplies the complex-word ratio by 100 and adds average sentence length, so dense vocabulary dominates the score.

Common pitfalls

  • Treats every 3+ syllable word as "complex", even when it is perfectly familiar (e.g., "actually", "interesting").
  • Proper nouns and common suffixes (-ed, -es, -ing) are supposed to be excluded; not all implementations honour this.
  • A single sentence with many complex words can drive a small sample to a misleadingly high score.
  • Optimising for low Fog can lead to choppy, simplistic prose that loses precision.

Sentence length plus "complex" words, weighted equally

Fog is 0.4 × (average sentence length + percentage of complex words). Unlike Flesch, the two terms carry equal weight, which makes Fog markedly more sensitive to long sentences and more forgiving of long words than the Flesch family.

A "complex" word here is one of three or more syllables, with exclusions applied — common suffixes that add a syllable without adding difficulty are stripped before the test, so "created" is not treated as complex simply because "-ed" pushed it to three. That exclusion is part of Gunning's original definition, not a shortcut, and without it the index runs high on ordinary past-tense prose.

The output is a US grade level in the same sense as Flesch–Kincaid. Gunning's own guidance was that a Fog above about 12 is heavier than most general readers want, and mainstream news magazines have historically sat near 11.

What Fog is unusually good and bad at

Fog is the most useful of the classic indices for spotting one specific failure: sentences that keep going. Because sentence length is not down-weighted, a document that scores badly on Fog but acceptably on Flesch is almost always telling you the sentences are too long rather than the words too hard.

It is correspondingly poor on technical writing where the long words are unavoidable and genuinely familiar to the audience. A page about "deoxyribonucleic acid" is not made clearer by finding a shorter word, and Fog will penalise it anyway. Where domain vocabulary dominates, Dale–Chall's familiar-word list is the better instrument, because it asks whether a word is *known*, not whether it is *long*.

Where these numbers come from

The method behind this tool, so you can check it rather than take it on trust.

  • Gunning, R. (1952). The Technique of Clear Writing. McGraw-Hill.

    Introduced the Fog Index, combining sentence length with the proportion of words of three or more syllables.

Read more about this

Related tools

Send feedback

We read every message. Tell us what could be better or what you love.