Psychometric Conversion Table & Score Converter
Convert any test score to every other format: standard score, percentile rank, scaled score, T-score, z-score, stanine and NCE, with the WISC-V and Woodcock-Johnson IV descriptors. Type one score below, or use the full printable table (standard scores 160 to 40).
Convert a score
Scales used: standard score mean 100, SD 15 · scaled 10, 3 · T 50, 10 · z 0, 1 · NCE 50, 21.06. Uses the normal curve. For a formal report, check the norms tables in your test's manual.
Equivalent scores
Low Average
Jump to this row in the table ↓
Copy a report sentence
Edit the wording to fit your report. Names stay in your browser and are never saved or sent.
Convert several scores at once
Add each index or subtest score. Then copy the results as a table (it pastes into Word, Google Docs or Excel) or as report sentences.
| Index or subtest | Score | Standard score | Percentile | Range |
|---|
Ranges use the descriptor system picked above. T-scores from behavior scales (BASC, Conners) don't get an ability range, because a high T-score there means more concern.
Quick answer: a standard score of 100 is the 50th percentile (average). 85 is the 16th percentile and 115 is the 84th; 70 is the 2nd percentile and 130 is the 98th. Each 15 points is one standard deviation, and 1 scaled-score point equals 5 standard-score points.
Psychometric conversion table (standard score to percentile, scaled, T, z)
| Standard score | Percentile | Scaled | T-score | z-score | Stanine | NCE | WISC-V | WJ IV |
|---|---|---|---|---|---|---|---|---|
| 160 | >99.9 | 90 | +4.00 | 9 | 99 | Extremely High | Very Superior | |
| 159 | >99.9 | 89 | +3.93 | 9 | 99 | Extremely High | Very Superior | |
| 158 | >99.9 | 89 | +3.87 | 9 | 99 | Extremely High | Very Superior | |
| 157 | >99.9 | 88 | +3.80 | 9 | 99 | Extremely High | Very Superior | |
| 156 | >99.9 | 87 | +3.73 | 9 | 99 | Extremely High | Very Superior | |
| 155 | >99.9 | 87 | +3.67 | 9 | 99 | Extremely High | Very Superior | |
| 154 | >99.9 | 86 | +3.60 | 9 | 99 | Extremely High | Very Superior | |
| 153 | >99.9 | 85 | +3.53 | 9 | 99 | Extremely High | Very Superior | |
| 152 | >99.9 | 85 | +3.47 | 9 | 99 | Extremely High | Very Superior | |
| 151 | >99.9 | 84 | +3.40 | 9 | 99 | Extremely High | Very Superior | |
| 150 | >99.9 | 83 | +3.33 | 9 | 99 | Extremely High | Very Superior | |
| 149 | >99.9 | 83 | +3.27 | 9 | 99 | Extremely High | Very Superior | |
| 148 | >99.9 | 82 | +3.20 | 9 | 99 | Extremely High | Very Superior | |
| 147 | >99.9 | 81 | +3.13 | 9 | 99 | Extremely High | Very Superior | |
| 146 | 99.9 | 81 | +3.07 | 9 | 99 | Extremely High | Very Superior | |
| 145 | 99.9 | 19 | 80 | +3.00 | 9 | 99 | Extremely High | Very Superior |
| 144 | 99.8 | 79 | +2.93 | 9 | 99 | Extremely High | Very Superior | |
| 143 | 99.8 | 79 | +2.87 | 9 | 99 | Extremely High | Very Superior | |
| 142 | 99.7 | 78 | +2.80 | 9 | 99 | Extremely High | Very Superior | |
| 141 | 99.7 | 77 | +2.73 | 9 | 99 | Extremely High | Very Superior | |
| 140 | 99.6 | 18 | 77 | +2.67 | 9 | 99 | Extremely High | Very Superior |
| 139 | 99.5 | 76 | +2.60 | 9 | 99 | Extremely High | Very Superior | |
| 138 | 99.4 | 75 | +2.53 | 9 | 99 | Extremely High | Very Superior | |
| 137 | 99.3 | 75 | +2.47 | 9 | 99 | Extremely High | Very Superior | |
| 136 | 99.2 | 74 | +2.40 | 9 | 99 | Extremely High | Very Superior | |
| 135 | 99 | 17 | 73 | +2.33 | 9 | 99 | Extremely High | Very Superior |
| 134 | 99 | 73 | +2.27 | 9 | 98 | Extremely High | Very Superior | |
| 133 | 99 | 72 | +2.20 | 9 | 96 | Extremely High | Very Superior | |
| 132 | 98 | 71 | +2.13 | 9 | 95 | Extremely High | Very Superior | |
| 131 | 98 | 71 | +2.07 | 9 | 94 | Extremely High | Very Superior | |
| 130 | 98 | 16 | 70 | +2.00 | 9 | 92 | Extremely High | Superior |
| 129 | 97 | 69 | +1.93 | 9 | 91 | Very High | Superior | |
| 128 | 97 | 69 | +1.87 | 9 | 89 | Very High | Superior | |
| 127 | 96 | 68 | +1.80 | 9 | 88 | Very High | Superior | |
| 126 | 96 | 67 | +1.73 | 8 | 87 | Very High | Superior | |
| 125 | 95 | 15 | 67 | +1.67 | 8 | 85 | Very High | Superior |
| 124 | 95 | 66 | +1.60 | 8 | 84 | Very High | Superior | |
| 123 | 94 | 65 | +1.53 | 8 | 82 | Very High | Superior | |
| 122 | 93 | 65 | +1.47 | 8 | 81 | Very High | Superior | |
| 121 | 92 | 64 | +1.40 | 8 | 79 | Very High | Superior | |
| 120 | 91 | 14 | 63 | +1.33 | 8 | 78 | Very High | High Average |
| 119 | 90 | 63 | +1.27 | 8 | 77 | High Average | High Average | |
| 118 | 88 | 62 | +1.20 | 7 | 75 | High Average | High Average | |
| 117 | 87 | 61 | +1.13 | 7 | 74 | High Average | High Average | |
| 116 | 86 | 61 | +1.07 | 7 | 72 | High Average | High Average | |
| 115 | 84 | 13 | 60 | +1.00 | 7 | 71 | High Average | High Average |
| 114 | 82 | 59 | +0.93 | 7 | 70 | High Average | High Average | |
| 113 | 81 | 59 | +0.87 | 7 | 68 | High Average | High Average | |
| 112 | 79 | 58 | +0.80 | 7 | 67 | High Average | High Average | |
| 111 | 77 | 57 | +0.73 | 6 | 65 | High Average | High Average | |
| 110 | 75 | 12 | 57 | +0.67 | 6 | 64 | High Average | Average |
| 109 | 73 | 56 | +0.60 | 6 | 63 | Average | Average | |
| 108 | 70 | 55 | +0.53 | 6 | 61 | Average | Average | |
| 107 | 68 | 55 | +0.47 | 6 | 60 | Average | Average | |
| 106 | 66 | 54 | +0.40 | 6 | 58 | Average | Average | |
| 105 | 63 | 11 | 53 | +0.33 | 6 | 57 | Average | Average |
| 104 | 61 | 53 | +0.27 | 6 | 56 | Average | Average | |
| 103 | 58 | 52 | +0.20 | 5 | 54 | Average | Average | |
| 102 | 55 | 51 | +0.13 | 5 | 53 | Average | Average | |
| 101 | 53 | 51 | +0.07 | 5 | 51 | Average | Average | |
| 100 | 50 | 10 | 50 | +0.00 | 5 | 50 | Average | Average |
| 99 | 47 | 49 | −0.07 | 5 | 49 | Average | Average | |
| 98 | 45 | 49 | −0.13 | 5 | 47 | Average | Average | |
| 97 | 42 | 48 | −0.20 | 5 | 46 | Average | Average | |
| 96 | 39 | 47 | −0.27 | 4 | 44 | Average | Average | |
| 95 | 37 | 9 | 47 | −0.33 | 4 | 43 | Average | Average |
| 94 | 34 | 46 | −0.40 | 4 | 42 | Average | Average | |
| 93 | 32 | 45 | −0.47 | 4 | 40 | Average | Average | |
| 92 | 30 | 45 | −0.53 | 4 | 39 | Average | Average | |
| 91 | 27 | 44 | −0.60 | 4 | 37 | Average | Average | |
| 90 | 25 | 8 | 43 | −0.67 | 4 | 36 | Average | Average |
| 89 | 23 | 43 | −0.73 | 4 | 35 | Low Average | Low Average | |
| 88 | 21 | 42 | −0.80 | 3 | 33 | Low Average | Low Average | |
| 87 | 19 | 41 | −0.87 | 3 | 32 | Low Average | Low Average | |
| 86 | 18 | 41 | −0.93 | 3 | 30 | Low Average | Low Average | |
| 85 | 16 | 7 | 40 | −1.00 | 3 | 29 | Low Average | Low Average |
| 84 | 14 | 39 | −1.07 | 3 | 28 | Low Average | Low Average | |
| 83 | 13 | 39 | −1.13 | 3 | 26 | Low Average | Low Average | |
| 82 | 12 | 38 | −1.20 | 3 | 25 | Low Average | Low Average | |
| 81 | 10 | 37 | −1.27 | 2 | 23 | Low Average | Low Average | |
| 80 | 9 | 6 | 37 | −1.33 | 2 | 22 | Low Average | Low Average |
| 79 | 8 | 36 | −1.40 | 2 | 21 | Very Low | Low | |
| 78 | 7 | 35 | −1.47 | 2 | 19 | Very Low | Low | |
| 77 | 6 | 35 | −1.53 | 2 | 18 | Very Low | Low | |
| 76 | 5 | 34 | −1.60 | 2 | 16 | Very Low | Low | |
| 75 | 5 | 5 | 33 | −1.67 | 2 | 15 | Very Low | Low |
| 74 | 4 | 33 | −1.73 | 2 | 13 | Very Low | Low | |
| 73 | 4 | 32 | −1.80 | 1 | 12 | Very Low | Low | |
| 72 | 3 | 31 | −1.87 | 1 | 11 | Very Low | Low | |
| 71 | 3 | 31 | −1.93 | 1 | 9 | Very Low | Low | |
| 70 | 2 | 4 | 30 | −2.00 | 1 | 8 | Very Low | Low |
| 69 | 2 | 29 | −2.07 | 1 | 6 | Extremely Low | Very Low | |
| 68 | 2 | 29 | −2.13 | 1 | 5 | Extremely Low | Very Low | |
| 67 | 1 | 28 | −2.20 | 1 | 4 | Extremely Low | Very Low | |
| 66 | 1 | 27 | −2.27 | 1 | 2 | Extremely Low | Very Low | |
| 65 | 1 | 3 | 27 | −2.33 | 1 | 1 | Extremely Low | Very Low |
| 64 | 0.8 | 26 | −2.40 | 1 | 1 | Extremely Low | Very Low | |
| 63 | 0.7 | 25 | −2.47 | 1 | 1 | Extremely Low | Very Low | |
| 62 | 0.6 | 25 | −2.53 | 1 | 1 | Extremely Low | Very Low | |
| 61 | 0.5 | 24 | −2.60 | 1 | 1 | Extremely Low | Very Low | |
| 60 | 0.4 | 2 | 23 | −2.67 | 1 | 1 | Extremely Low | Very Low |
| 59 | 0.3 | 23 | −2.73 | 1 | 1 | Extremely Low | Very Low | |
| 58 | 0.3 | 22 | −2.80 | 1 | 1 | Extremely Low | Very Low | |
| 57 | 0.2 | 21 | −2.87 | 1 | 1 | Extremely Low | Very Low | |
| 56 | 0.2 | 21 | −2.93 | 1 | 1 | Extremely Low | Very Low | |
| 55 | 0.1 | 1 | 20 | −3.00 | 1 | 1 | Extremely Low | Very Low |
| 54 | 0.1 | 19 | −3.07 | 1 | 1 | Extremely Low | Very Low | |
| 53 | <0.1 | 19 | −3.13 | 1 | 1 | Extremely Low | Very Low | |
| 52 | <0.1 | 18 | −3.20 | 1 | 1 | Extremely Low | Very Low | |
| 51 | <0.1 | 17 | −3.27 | 1 | 1 | Extremely Low | Very Low | |
| 50 | <0.1 | 17 | −3.33 | 1 | 1 | Extremely Low | Very Low | |
| 49 | <0.1 | 16 | −3.40 | 1 | 1 | Extremely Low | Very Low | |
| 48 | <0.1 | 15 | −3.47 | 1 | 1 | Extremely Low | Very Low | |
| 47 | <0.1 | 15 | −3.53 | 1 | 1 | Extremely Low | Very Low | |
| 46 | <0.1 | 14 | −3.60 | 1 | 1 | Extremely Low | Very Low | |
| 45 | <0.1 | 13 | −3.67 | 1 | 1 | Extremely Low | Very Low | |
| 44 | <0.1 | 13 | −3.73 | 1 | 1 | Extremely Low | Very Low | |
| 43 | <0.1 | 12 | −3.80 | 1 | 1 | Extremely Low | Very Low | |
| 42 | <0.1 | 11 | −3.87 | 1 | 1 | Extremely Low | Very Low | |
| 41 | <0.1 | 11 | −3.93 | 1 | 1 | Extremely Low | Very Low | |
| 40 | <0.1 | 10 | −4.00 | 1 | 1 | Extremely Low | Very Low |
Scaled score to standard score and percentile
Subtest scaled scores run from 1 to 19. Each scaled-score point is one third of a standard deviation, the same as 5 standard-score points.
| Scaled | Standard score | Percentile | T-score | z-score |
|---|---|---|---|---|
| 19 | 145 | 99.9 | 80 | +3.00 |
| 18 | 140 | 99.6 | 77 | +2.67 |
| 17 | 135 | 99 | 73 | +2.33 |
| 16 | 130 | 98 | 70 | +2.00 |
| 15 | 125 | 95 | 67 | +1.67 |
| 14 | 120 | 91 | 63 | +1.33 |
| 13 | 115 | 84 | 60 | +1.00 |
| 12 | 110 | 75 | 57 | +0.67 |
| 11 | 105 | 63 | 53 | +0.33 |
| 10 | 100 | 50 | 50 | +0.00 |
| 9 | 95 | 37 | 47 | −0.33 |
| 8 | 90 | 25 | 43 | −0.67 |
| 7 | 85 | 16 | 40 | −1.00 |
| 6 | 80 | 9 | 37 | −1.33 |
| 5 | 75 | 5 | 33 | −1.67 |
| 4 | 70 | 2 | 30 | −2.00 |
| 3 | 65 | 1 | 27 | −2.33 |
| 2 | 60 | 0.4 | 23 | −2.67 |
| 1 | 55 | 0.1 | 20 | −3.00 |
How the score types relate
Every score type here is a different way of describing where a student falls on the same bell curve. The z-score is the base: it says how many standard deviations a score is above or below the mean. The others are just rescaled versions of z:
- Standard score = 100 + 15 × z (IQ and index scores, most achievement composites)
- Scaled score = 10 + 3 × z (Wechsler and CELF subtests)
- T-score = 50 + 10 × z (behavior rating scales such as BASC and Conners)
- NCE = 50 + 21.06 × z (Title I and some district reports)
- Stanine = 2 × z + 5, rounded and kept between 1 and 9
- Percentile rank = the share of the normal curve below z
So a T-score of 60, a standard score of 115, a scaled score of 13 and the 84th percentile all mean the same thing: one standard deviation above average. Note that on many behavior scales a high T-score means more concern, not better performance.
Descriptors differ by test
Publishers use different words for the same range. The current Wechsler scales (WISC-V, WAIS-V) say Extremely Low, Very Low, Low Average, Average, High Average, Very High, Extremely High. Older Wechsler editions used Borderline and Superior. The Woodcock-Johnson IV sets its Average band at 90 to 110 and calls 121 to 130 Superior. Pick the matching system in the converter, and use the wording from your own test manual in reports.
Need the student's age for the norms first? Use the chronological age calculator. All conversions on this page run in your browser; nothing is sent or saved.
Frequently asked questions
What is a psychometric conversion table?
A psychometric conversion table lines up the different score types used in psychological and educational tests (standard scores, percentile ranks, scaled scores, T-scores, z-scores, stanines and NCEs) so you can read across a row and see the same level of performance in every format. Every score type is built on the normal (bell) curve, which is why they convert into each other.
How do you convert a standard score to a percentile?
Turn the standard score into a z-score with z = (score − 100) ÷ 15, then find the share of the normal curve below that z. For example, a standard score of 85 is z = −1.00, which is the 16th percentile; 115 is z = +1.00, the 84th percentile. Use the converter above to do it for any score.
What is the difference between a scaled score and a standard score?
Both describe the same normal curve but with different units. Standard (index) scores have a mean of 100 and a standard deviation of 15. Scaled scores, used for subtests, have a mean of 10 and a standard deviation of 3, so a scaled score of 7 equals a standard score of 85 and a scaled score of 13 equals 115.
Is a percentile rank the same as percent correct?
No. A percentile rank compares a student with the test's norm group: the 75th percentile means the student scored as well as or better than 75% of same-age peers. Percent correct is just the share of questions answered correctly. A student can get 60% of items right and still be at the 90th percentile if the test is hard.
What standard score is considered average?
On most tests a standard score from 90 to 109 (or 90 to 110 on the Woodcock-Johnson) is called Average, which covers roughly the 25th to the 75th percentile. Labels such as Low Average, Very Low or Superior differ between test publishers, so always use the descriptors in your test's manual for a report.
Why does my test manual show a slightly different percentile?
This table uses the theoretical normal curve. Some tests build their percentile tables from the actual norm sample, and manuals round differently at the extremes. Differences are usually 1 percentile point or less in the middle of the range. For an official report, the test's own norms tables come first.
Related tools
- Chronological Age Calculator: exact age in years;months;days for test norms.
- Grading scale guide: percentages, letter grades and GPA.
- Grade Curve Calculator: curve classroom test scores.
- Easy Grader: turn a test score into a percentage and letter grade.