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How to Calculate Your IQ Percentile: Using the Normal Distribution and z-Scores

How to Calculate Your IQ Percentile: Using the Normal Distribution and z-Scores

Key takeaways

  • To find the percentile, compute z = (IQ − 100) ÷ 15 and read 1 − Φ(z) from a normal distribution table.
  • '1 in how many people' is simply the reciprocal of the top percentage as a decimal: 1 ÷ 0.023 ≈ 44.
  • The Japanese deviation score converts as 50 + (IQ − 100) ÷ 15 × 10, so IQ 130 equals a deviation score of 70.
  • This assumes a test with a standard deviation of 15; tests using SD 16 or 24 change the denominator.

"What percentile is an IQ of 125?" You can work this out yourself using the properties of the normal distribution. It takes three steps.

Step 1: Compute the z-score

IQ is standardized to a normal distribution with a mean of 100 and a standard deviation of 15. So first calculate the z-score, which expresses how many standard deviations you are from the mean.

  • z = (IQ − 100) ÷ 15

For an IQ of 125, z = (125 − 100) ÷ 15 = 1.67. For an IQ of 130, z = 2.00 — exactly two standard deviations.

55708510011513014568% (IQ 85–115)95% (IQ 70–130)
The normal distribution of IQ: about 68% fall within ±1 SD and 95% within ±2 SD of the mean.

Step 2: Read the percentile from the normal distribution

With z in hand, look up the cumulative probability Φ(z) — the proportion of people at or below that z — in a table or a spreadsheet. The top percentage is 1 − Φ(z). In a spreadsheet, use `=1-NORM.S.DIST(z, TRUE)`. For z = 1.67, that gives about the top 4.8%.

Step 3: Convert to '1 in how many people'

Turn the top percentage into a decimal and take the reciprocal. The top 4.8% (0.048) gives 1 ÷ 0.048 ≈ 21, or about 1 in 21 people. The main values are:

  • IQ 110: top ~25% (about 1 in 4)
  • IQ 115: top ~16% (about 1 in 6)
  • IQ 120: top ~9% (about 1 in 11)
  • IQ 125: top ~4.8% (about 1 in 21)
  • IQ 130: top ~2.3% (about 1 in 44)
  • IQ 135: top ~1.0% (about 1 in 102)
  • IQ 140: top ~0.4% (about 1 in 261)
  • IQ 145: top ~0.13% (about 1 in 741)
  • IQ 150: top ~0.04% (about 1 in 2,330)

The full list for IQ 70–160 is on the IQ reference table, and population shares by band are in the IQ distribution data.

Converting to a deviation score

To convert to the Japanese deviation score (mean 50, SD 10), multiply z by 10 and add 50.

  • Deviation score = 50 + (IQ − 100) ÷ 15 × 10

IQ 130 becomes 70; IQ 115 becomes 60. Note that a school deviation score reflects position within whoever sat that exam, so the same number can mean different things across populations. See converting between IQ and deviation scores.

IQ (SD 15)55708510011513014520304050607080Deviation score (SD 10)
IQ and deviation scores are the same normal distribution on different rulers: deviation = 50 + (IQ − 100) ÷ 15 × 10.

Caution: not every test uses SD 15

Every calculation above assumes a standard deviation of 15. Some Stanford–Binet versions use 16 and Cattell-style tests use 24, so the same percentile prints a different IQ number. Before comparing figures from different sources, read the difference between IQ standard deviations of 15 and 16.

Prefer to skip the math?

NekoIQ's free IQ test runs this calculation for you: 20 questions in about 10 minutes give your estimated IQ, deviation score, percentile, and national ranking.

Frequently asked questions

What is the formula for an IQ percentile?

Compute z = (IQ − 100) ÷ 15, then the top percentage is 1 − Φ(z), where Φ is the standard normal cumulative distribution function. In a spreadsheet: `=1-NORM.S.DIST(z, TRUE)`.

How do I convert a percentile into '1 in how many people'?

Express the top percentage as a decimal and take the reciprocal. The top 2.3% (0.023) gives 1 ÷ 0.023 ≈ 44, so about 1 in 44 people.

What percentile is an IQ of 125?

z = 1.67, which puts it in roughly the top 4.8% — about 1 in 21 people.

How do I convert IQ into a deviation score?

Deviation score = 50 + (IQ − 100) ÷ 15 × 10. An IQ of 130 equals 70; an IQ of 115 equals 60.

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Editorial note & disclaimer

NekoIQ Editorial Team

This article was written and edited by the NekoIQ Editorial Team with reference to academic literature on psychometrics, including CHC theory and Item Response Theory (IRT). Statistics and percentages are calculated from a normal distribution model with a mean of 100 and a standard deviation of 15.

The tests on this site provide estimates for entertainment and self-understanding purposes only. They are not medical or clinical assessments, nor official psychological (intelligence) tests.