IQ Score Chart 2026: The Ultimate Range & Percentile Guide

An IQ score chart translates a raw test number into two more useful things: a classification and a percentile. On their own, “112” or “126” don’t tell you much. Against the IQ score chart below, they tell you exactly where you sit relative to everyone else who has taken a similarly normed test, using the same mean-of-100, standard-deviation-of-15 system the WAIS-IV and most modern scales share.

This page is the reference version of that IQ score chart: every standard band from below 70 to 130+, the percentile each one represents, how the underlying bell curve produces those numbers, why different tests can report different-looking scores for the same person, and the specific mistakes people make when they read a chart like this one at face value.

The IQ Score Chart: Every Band and Percentile

Modern IQ scales, including the WAIS-IV, are built on a normal distribution with a mean of 100 and a standard deviation of 15. Every classification, percentile, and description in the chart below is a direct consequence of that one design choice — nothing on this chart is arbitrary or brand-specific.

Each band on this IQ score chart spans exactly one-third of a standard deviation or more, which is why the classifications get progressively wider in percentage terms as you move toward the tails: there are simply fewer people out there to divide into bands once you’re several standard deviations from the mean.

How to Read Percentiles on This IQ Score Chart

A percentile tells you the share of the reference population that scored at or below a given number — it is not the same thing as “percent correct,” and conflating the two is one of the most common misreadings of any IQ score chart.

A concrete example makes this less abstract: an IQ of 112 sits roughly 0.8 standard deviations above the mean, which converts to approximately the 79th percentile — meaning about 79 out of 100 people in the reference sample scored at or below that number. Nothing about that percentile tells you anything about the remaining 21%, only where the line falls.

The IQ Bell Curve Behind This Chart

Because IQ scores are constructed, by design, to follow a normal distribution, the familiar 68/95/99.7 rule applies directly to every number on this chart:

• About 68% of people fall within one standard deviation of the mean — the 85–115 range
• About 95% fall within two standard deviations — the 70–130 range
• About 99.7% fall within three standard deviations — the 55–145 range

Everything outside that last band is genuinely rare in both directions, which is exactly why extreme scores in either direction deserve a second look rather than a face-value read. The bell shape itself isn’t a natural law of intelligence — it’s a deliberate design decision. Test publishers select and weight items specifically so that raw scores, once converted, approximate a normal curve. That’s a modeling choice that makes scores comparable and statistically tractable, not proof that cognitive ability itself is naturally bell-shaped at the level of individual neurons or abilities.

Wechsler vs Stanford-Binet vs Cattell: Why the Same Percentile Shows Different Numbers

Not every test uses the same standard deviation, which is why the same percentile can correspond to different-looking numbers depending on which scale produced it:

If you’re comparing a score against a threshold quoted elsewhere — a Mensa requirement, a research paper, a different test’s marketing page — always check which scale it’s using before assuming the numbers mean the same thing. A “148” on a Cattell-scored test and a “130” on a Wechsler-scored test can represent the exact same percentile rank. The number changes; the underlying statistical position does not.

Does This IQ Score Chart Change With Age?

No — and that’s the entire point of how the chart is built. IQ scores are age-normed, meaning your raw performance is compared only against people in your own age bracket before being converted to the 100-mean, 15-SD scale. A 70-year-old and a 25-year-old who both score 115 are both sitting at the 84th percentile of their respective age groups, even though the specific cognitive skills driving that score look different: fluid reasoning tends to peak in the mid-20s and gradually decline, while crystallized knowledge, like vocabulary, continues to grow well into the 60s. For the full age-by-age breakdown of those two curves, see average IQ by age.

How Much Margin of Error to Expect

Expect roughly ±5 points of margin of error under good testing conditions, and closer to ±10 points if the test was rushed, unsupervised, or taken while distracted. No test, clinical or online, produces a perfectly precise number, and this IQ score chart should never be read as a chart of exact coordinates. Even the WAIS-IV, administered by a trained psychologist under controlled conditions, carries a standard error of measurement of roughly 2.4 to 3.5 points on its Full Scale IQ, with test-retest reliability around 0.96.

For more on why that margin exists and how test methodology accounts for it, see how IQ tests work and are online IQ tests accurate?

Common Mistakes People Make Reading a Chart Like This

Most misreadings of an IQ score chart come from treating it as more precise or more complete than it actually is. The most frequent errors:

• Treating a single score as an exact coordinate instead of a band with a margin of error attached.
• Comparing scores across different scales without checking whether they share the same standard deviation.
• Reading percentile as a “smarter than” statement about specific people, rather than a statistical position within a norm group.
• Ignoring subtest scatter — a single composite score can hide a large gap between, say, verbal and spatial reasoning, which matters more for practical decisions than the headline number.
• Assuming the chart measures more than it does — creativity, emotional intelligence, and character never appear anywhere on a classification table like this one.

Three Worked Examples

Reading a chart in the abstract is harder than reading it against real numbers. Here is how three different scores map onto everything above:

Notice that none of these three examples change classification even at the edges of their error band, except the 135 example, which could plausibly sit anywhere from the top of the Superior band to deep into Very Superior. That’s a useful test of whether a given score is stable: if the ±5 point band crosses a classification boundary, treat the classification itself as tentative, not the number.

What This Chart Does Not Show

A classification table is a statistical summary, not a character reference. It says nothing about conscientiousness, creativity, emotional intelligence, social skill, or the countless other traits that shape a life. It also flattens a multi-domain profile into a single number, which can hide real strengths and weaknesses in specific areas like verbal versus spatial reasoning. And because of the Flynn Effect — the roughly 3-point-per-decade rise in raw scores across the 20th century — the population average this chart is built around has shifted over time, which is why tests are periodically re-normed against fresh samples.

Who Should Use This IQ Score Chart, and Who Shouldn’t

This chart is a good fit for casual self-reflection, tracking your own baseline over time, or making sense of a free online test result. It is not an appropriate reference for educational placement decisions, disability determinations, legal proceedings, or formal eligibility requirements like Mensa admission — all of those require a supervised assessment administered and interpreted by a qualified professional, not a self-read chart.

Why a Single Number Can Hide a Subtest Profile

Every classification on this IQ score chart is built from a composite score, usually a weighted average of several subtests spanning verbal comprehension, perceptual reasoning, working memory, and processing speed. Two people can land on the exact same composite number, say 112, with very different underlying profiles: one might be strong verbally and weaker on processing speed, while the other shows the reverse pattern. The composite score this chart is built around smooths that difference out.

That’s a deliberate tradeoff — it’s what makes the number comparable across people at all — but it also means a full report with subtest breakdowns tells you meaningfully more than the single classification this chart provides. If your goal is understanding your own cognitive profile rather than just placing yourself on a curve, a subtest breakdown is worth more than the composite alone.

How to Use This Chart Step by Step

1. Find your raw score’s range in the table above.
2. Read off the associated percentile to see where that places you against the general population.
3. Check which test and scale produced your score, since the standard deviation can differ.
4. Treat the result as an approximate band, not an exact coordinate — add or subtract roughly 5 points for a realistic range.
5. If the result matters for a real decision, use it as a starting point for seeking a supervised assessment, not as the final word.

Why This IQ Score Chart Uses the WAIS-IV Standard

Several intelligence scales exist, but this IQ score chart follows the Wechsler convention because it is the one most clinical psychologists and most reputable free tests are normed against. The Young & Keith (2020) validation study found that ICAR-based item banks, the same family used in many free tests, correlate with WAIS-IV Full Scale IQ at r = 0.70 to 0.85. That is a strong enough relationship that a well-built free test’s result can be checked against this same IQ score chart with reasonable confidence, even though it is not a substitute for a full clinical administration.

Keeping every classification, percentile, and example on this page anchored to one consistent scale is deliberate: mixing scales is the single most common way people misread where a score actually sits. According to the American Psychological Association, an intelligence test is only meaningful when standardized against a representative sample — which is exactly what this chart reflects.

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