IQ 156 — How Rare It Is, What It Means & Famous People With This Score
An IQ of 156 is higher than 99.9906% of people. About 1 in 10,600 people score 156 or above — about 770,000 people alive today. It sits 3.73 standard deviations above the average and is classed as highly gifted.
| Percentile | 99.9906th |
|---|---|
| How rare | 1 in 10,600 |
| People alive with this score or higher | about 770,000 of 8.2 billion |
| Standard deviations above the average of 100 | +3.73 |
| Classification | highly gifted |
| Mensa (top 2%, 130 and above) | qualifies |
Is 156 a good IQ?
Yes. An IQ of 156 is higher than 99.9906% of people. It clears the Mensa line: Mensa admits the top 2%, which is 130 or above on tests with a standard deviation of 15.
How many people have an IQ of 156 or higher?
About 770,000 of the world’s 8.2 billion people, on the normal curve (average 100, standard deviation 15) used by modern tests.
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Take the IQ test →What Does an IQ of 156 Mean?
An IQ of 156 crosses the traditional "genius" threshold. Classified as "Highly Gifted," this score is achieved by approximately 1 in 10,600 of the population. Individuals at this level typically excel in complex analytical thinking and creative endeavors.
At 156, cognitive ability is well above the 99th percentile. People at this level often gravitate toward fields requiring deep abstract thought — theoretical physics, pure mathematics, philosophy, or groundbreaking creative work.
Where IQ 156 Falls on the Bell Curve
The highlighted area shows the percentage of the population scoring at or above IQ 156. The dashed line marks the exact position of this score on the normal distribution.
Famous People With an IQ of 156
There are 2 geniuses in our database with an estimated IQ of 156:
Explore Other IQ Scores
About IQ Scores: IQ (Intelligence Quotient) scores follow a normal distribution with a mean of 100 and a standard deviation of 15. Historical IQ estimates for famous individuals are approximations based on their demonstrated achievements, not direct test results. These estimates should be considered illustrative rather than definitive.












