IQ Calculator Percentile

IQ Percentile Calculator

Turn an IQ score into its percentile rank, z-score, rarity as 1 in N people, and classification band on the Wechsler SD 15, Stanford-Binet SD 16, or Cattell SD 24 scale, assuming a normal distribution with mean 100.

🎯Real IQ Presets

📝IQ Inputs

Mean is fixed at 100 for all scales.

Used when mode is percentile to IQ.

Applies only when scale is set to Custom SD.

Estimates how many people share or exceed the score.

Percentile rank 0 share scoring at or below
Z-score 0 standard deviations from mean
Rarity 1 in 1 people at this level
Classification Average descriptive band

🔢Formula Snapshot

100Mean IQ
SD15, 16 or 24
z(IQ - 100) / SD
CDFPercentile / 100

📊IQ to Percentile Lookup (SD 15)

IQ ScoreZ-scorePercentileRarity (at or above)Band
55-3.000.13thNearly everyone aboveExtremely Low
70-2.002.28th1 in 1 (common)Borderline
85-1.0015.87th1 in 1 (common)Low Average
1000.0050.00th1 in 2Average
115+1.0084.13th1 in 6High Average
120+1.3390.88th1 in 11Superior
130+2.0097.72th1 in 44Very Superior / Gifted
145+3.0099.87th1 in 741Highly Gifted
160+4.0099.997th1 in 31,560Profoundly Gifted

🏷Classification Bands (SD 15)

IQ RangeClassificationApprox. PercentilePopulation Share
130 and aboveVery Superior / Gifted98th and upAbout 2.2%
120 - 129Superior91st - 97thAbout 6.7%
110 - 119High Average75th - 90thAbout 16.1%
90 - 109Average25th - 73rdAbout 49.5%
80 - 89Low Average9th - 23rdAbout 16.1%
70 - 79Borderline2nd - 8thAbout 6.7%
Below 70Extremely LowUnder 2ndAbout 2.2%

📏SD Scale Comparison

Test FamilyStandard DeviationIQ at 98th PercentileIQ at +2 SDIQ at +3 SD
Wechsler / WAIS / WISC15131130145
Stanford-Binet (modern)16133132148
Cattell / older tests24149148172

The same rarity maps to a higher raw IQ when the scale uses a larger standard deviation, which is why a Cattell 148 is roughly a Wechsler 130.

đź“‘Cross-Scale Comparison Grid

PercentileZ-scoreRarity (above)IQ (SD 15)IQ (SD 16)IQ (SD 24)Typical Band
50th0.001 in 2100100100Average
75th+0.671 in 4110111116High Average
84th+1.001 in 6115116124High Average
91st+1.341 in 11120121132Superior
95th+1.641 in 20125126139Superior
98th+2.051 in 50131133149Gifted (Mensa)
99th+2.331 in 100135137156Gifted
99.9th+3.091 in 1,000146149174Highly Gifted
99.99th+3.721 in 10,000156160189Profoundly Gifted

🏆Famous Cutoffs

Society or MarkerPercentile CutoffIQ (SD 15)Rarity
Mensa International98th1311 in 50
Intertel99th1351 in 100
Triple Nine Society99.9th1461 in 1,000
Prometheus Society99.997th1601 in 30,000
Gifted program (common)~95th1251 in 20

⚙Full Formula Breakdown

Standardizez = (IQ - 100) / SD. A Wechsler IQ of 130 gives z = (130 - 100) / 15 = 2.00.
Percentilepercentile = normalCDF(z) Ă— 100. The CDF returns the area of the normal curve to the left of z.
CDF methodThe Hart / Zelen & Severo approximation evaluates the standard normal CDF to about 7 decimal places without a lookup table.
Rarity aboveFor above-average scores, rarity = 1 / (1 - percentile/100), the odds of scoring at or above that IQ.
Rarity belowFor below-average scores, rarity = 1 / (percentile/100), the odds of scoring at or below that IQ.
Reverse modeGiven a target percentile p, invert the CDF to find z, then IQ = 100 + z Ă— SD.
PopulationExpected people = population Ă— tail fraction, so a rarity of 1 in 44 across 8 billion is roughly 182 million.

đź“‹Reference Values

MarkerValueHow It Is UsedNote
Mean100Center of every IQ scalez = 0, exactly 50th percentile
SD 15WechslerDivides the IQ gap from 100Most common modern scale
SD 16Stanford-BinetSlightly wider spreadSame rarity needs a higher IQ
SD 24CattellWidest common spreadInflates high scores versus SD 15
+2 SDz = 2.0Gifted threshold marker97.72nd percentile on SD 15

đź’ˇPractical IQ Tips

Interpreting scores: A percentile tells you the share of people you would score above, so an IQ of 130 at the 98th percentile means about 98 of every 100 people score lower. Always pair the raw IQ with its scale before comparing tests.
Test caveats: Real IQ tests have a standard error of roughly 3 to 5 points, so a single score is a range, not a fixed value. Deep-tail rarities such as 1 in a million are model estimates, since no test is validated that far out.

Without translation into rank, however, the number is just a label. “I have an IQ of 130” carries a certain heft on its own, but lacks texture without context. In truth, it’s not the raw number that’s important; it’s what comes after, the percentile that follows it like a comet. It’s this one number that strip away the noise of any test’s quirks, and tells you precisely where you stand compared to all others: a snapshot of how rare (or not) you are.

After selecting the proper scale, the calculator above will do the math for you, translating a plain integer into something much more meaningful. This is an IQ score. The standard deviation That is the key variable. On the one hand, you’ve got Wechsler tests with a 15-point spread; on the other, you’ve got the Stanford-Binet using a 16-point spread, while older Cattell scales stretch up to 24.

Why Percentiles Matter More Than IQ Scores

That’s no simple academic nitpick: That’s what explain the confusion when we compare scores from these various tests. Two standard deviations above the mean translates into a 130 on Wechsler, 132 on Stanford-Binet, and 148 on Cattell; yet each represents the same person at the same percentile. The raw number varies because the yardstick has expanded or contracted, so that you can see someone scoring a 148 and think, oh, this is genius! You might not know that they are on a Cattell scale where that score is just gifted.

This behavior become less mysterious if we understand the bell curve. About half of us will score above a 100, and half of us will score below a 100 on tests like this; it’s the nature of the bell curve. So most of us are bunched up around the middle. Because there aren’t many people in the crowd, it quickly starts thinning out as you approach or retreat from the mean, making percentile jumps seem weird towards either end of the range. You gain perhaps 25 percentile points going from 90-100 IQ, but only maybe a handful when you go from 130-140, since now you’re sort of pushing off into thin air. It gets flatter and the rarity grows fast.

What does the tool do? It converts your score into a z-score (standardizing the results) which tells you how many standard deviations away from the mean you are. Then it uses the cumulative distribution function (you don’t need to know calculus to use this, but it’s helpful to know what’s going on here). By plugging in that z-score, the tool calculates area under the curve that falls to the left of your score. That is your percentile.

For example, if the tool comes back with 0.9772 as your area, that means you’re in the 97.72nd percentile, which means approximately 98 out of every 100 people will score below you. Percentiles above 90 are abstract. We can express them as one in N to make the gap more concrete. This is another way to look at those same statistics. It is one in 44. That’s an IQ of 130; push yourself up to 145 and you’re down to one in 741.

And here again these numbers aren’t small: They help explain why organizations such as Mensa, a society of high-IQ types, have such strict cutoffs. To get in, you need to land somewhere within the top two percent. On the common Wechsler scale, this comes out to around 131 points. The same logic applies to scores below the mean. A score of 70 isn’t merely low, but rather a sign of some serious cognitive difference; less than two percent of the population sits below that number.

Here the calculator puts those numbers into descriptive bands (Superior), Borderline, and these labels are helpful shorthand but should never be treated as rigid definitions of potential. Before you get too hung up on the last digit, though, there’s something else about those real IQ tests to keep in mind: they have a standard error of measurement. It’s not precisely a point; it’s a range, typically between 3-5 points in either direction from your actual score. So your true ability likely sits somewhere in that band.

No test is accurate enough to prove with confidence the extreme cases, like one in a million… Which are instead moddern estimates. (If you think this sounds crazy, note that no test can be normed accurately enough to prove these kinds of outliers.) That’s fine. The percentile is a well-grounded summary statement of where any given score fits. And the farthest out tails should of been viewed as interesting but likely, not absolute truth.

Until you convert it to rank, the number is just a label.

iq calculator percentile