The IQ percentile calculator lets you find out what percentage of people score lower than you in the IQ test scales. IQ, a measure of fluid intelligence, is known to be the best predictor of academic and occupational success, especially in cognitively demanding disciplines, which is why finding your IQ can help you when making decisions about your career.

In the text below you’ll find explanations of a few terms (percentile and IQ meaning), an interpretations of the results, an IQ levels classification, and some IQ charts. We’ll also discuss the subject of average IQ score, common IQ test scales, and IQ distribution.

What does IQ mean?

Psychologists divide human intelligence into crystallized and fluid intelligence. Crystallized intelligence refers to acquired knowledge and skills. Fluid intelligence means a general cognitive ability, ability to learn new things, reason, recognize patterns, and draw inferences.

IQ is a score obtained from tests invented to measure fluid intelligence. IQ stands for Intelligence Quotient. It's called this way because it used to equal the mental age (based on the test score) divided by chronological age and multiplied by 100.

Nowadays, it is no longer a quotient, although the name remains. The so-called deviation IQ used by most tests is determined by comparing scores to the average performance of the representative group in the person's age range. Raw test scores are converted to standard scores where the average IQ is 100 and the standard deviation is usually 15.

IQ distribution

**Intelligence follows the * normal distribution, which means its has a bell curve shape. Most people have a near-average IQ score (around 100). The more extreme the result, the fewer the amount of people that scoring them. In simple words, this means there are a lot of "normies", a few geniuses, and a few intellectually disabled people in a standard population.

If we apply the empirical rule to IQ distribution, we can say that 68% of people have an IQ between 85 and 115; 95% - between 70 and 130; and 99.7% - between 55 and 145.

IQ percentile

The percentile of a score is the percentage of people who score equal to or below the score. For example, an IQ score of 70 is in the 2nd percentile (for SD = 15), which means that only 2% of people score 70 or lower. IQ 125 is at the 95th percentile - 95% of people have an IQ equal to or less than 125. This means 5% of the population score higher.

Knowing your IQ percentile lets you determine how you stack up against the rest of the population (read: whether you've got the brain it takes to become the second Einstein).

How to use the IQ percentile calculator?

First, you need to take a reliable (standardized) IQ test. The majority of those you find online don't qualify. The most commonly used IQ test is the Wechsler Adult Intelligence Scale (WAIS) and the Wechsler Intelligence Scale for Children (WISC). Other widely used tests include:

  • Stanford-Binet Intelligence Scale;
  • Cattell Culture Fair Intelligence Test;
  • Universal Nonverbal Intelligence;
  • Differential Ability Scales; and
  • Woodcock-Johnson Tests of Cognitive Disabilities.

Once you have the test result:

  1. Input your score in the IQ percentile calculator.
  2. Check what the standard deviation for the IQ test you took is. The default of the IQ percentile calculator is 15 (as in the Wechsler and SB5 tests). In the advanced mode, you can change it to 16.
  3. The calculator will display the percentile for your score and the explanation. You'll also see a distribution chart - scores below yours are displayed in dark blue, scores above - in light blue. IQ scores are displayed on the X axis. The Y axis denotes the percentage of population that have that IQ. For example, you can read from the chart that around 2.7% of population has an IQ of 100.

Note that the IQ scale ranges may differ depending on the test type. The chart doesn't account for test type, so any score out of the test range is not reliable.

IQ percentile chart

If you're wondering what IQ distribution looks like and what is a high IQ, have a look at the IQ percentile chart:

IQ score
IQ percentile
20
0.000004
30
0.0002
40
0.003
50
0.04
60
0.4
70
2
80
9
90
25
100
50
110
75
120
91
130
98
140
99.6
150
99.96
160
99.997
170
99.99985
180
99.999996

The values were calculated for standard deviation of 15.

IQ levels classification tables - what is a high IQ?

Once you know your score, you may want to have a look at the IQ charts and compare different IQ levels. It will help you determine IQ meaning, average IQ score ("normal" IQ), and answer the question "What is a high IQ?".

Current Wechsler (WAIS–IV, WPPSI–IV) IQ classification

IQ Range ("deviation IQ")
IQ Classification
More value-neutral terms*
130 and above
Very Superior
Upper extreme
120–129
Superior
Well above average
110–119
High Average
High average
90–109
Average
Average
80–89
Low Average
Low average
70–79
Borderline
Well below average
69 and below
Extremely Low
Lower extreme

*after Groth-Marnat 2009

Stanford–Binet Fifth Edition (SB5) classification

IQ Range ("deviation IQ")
IQ Classification
144+
Very gifted or highly advanced
130–144
Gifted or very advanced
120–129
Superior
110–119
High average
90–109
Average
80–89
Low average
70–79
Borderline impaired or delayed
55–69
Mildly impaired or delayed
40–54
Moderately impaired or delayed

Woodcock–Johnson R

IQ Score
WJ III Classification
131 and above
Very superior
121 to 130
Superior
111 to 120
High Average
90 to 110
Average
80 to 89
Low Average
70 to 79
Low
69 and below
Very Low

DAS-II 2007 GCA classification

General Conceptual Ability
Classification
≥ 130
Very high
120–129
High
110–119
Above average
90–109
Average
80–89
Below average
70–79
Low
≤ 69
Very low

Sources

We used the following literature to build this calculator:

  • Dumont, Ron; Willis, John O.; Elliot, Colin D. (2009). Essentials of DAS-II® Assessment. Hoboken, NJ: Wiley. p. 126. ISBN 978-0-470-22520-2.

  • Groth-Marnat, Gary (2009). Handbook of Psychological Assessment (Fifth ed.). Hoboken (NJ): Wiley. ISBN 978-0-470-08358-1.

  • Hunt, Earl. “Expertise, talent, and social encouragement.” The Cambridge handbook of expertise and expert performance (2006).

  • Hunter, John E. "Cognitive ability, cognitive aptitudes, job knowledge, and job performance." Journal of vocational behavior 29.3 (1986): 340-362

  • Hunter, John E, Frank L Schmidt, and Michael K Judiesch. "Individual differences in output variability as a function of job complexity." Journal of Applied Psychology 75.1 (1990): 28.

  • Kaufman, Alan S. (2009). IQ Testing 101. New York: Springer Publishing. pp. 151–153. ISBN 978-0-8261-0629-2.

  • Urbina, Susana (2011). "Chapter 2: Tests of Intelligence". In Sternberg, Robert J.; Kaufman, Scott Barry (eds.). The Cambridge Handbook of Intelligence. Cambridge: Cambridge University Press. pp. 20–38. ISBN 978-0-521-73911-5.

  • Weiss, Lawrence G.; Saklofske, Donald H.; Prifitera, Aurelio; Holdnack, James A., eds. (2006). WISC-IV Advanced Clinical Interpretation. Practical Resources for the Mental Health Professional. Burlington (MA): Academic Press. ISBN 978-0-12-088763-7.

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