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JEE Maths
Percentile Rank

Percentile Rank  

Percentile rank is a statistical measure used to indicate the relative position of a score within a dataset. It shows the percentage of scores that fall below a particular value, helping to understand how well an individual performs compared to others. Commonly used in education, testing, and data analysis, percentile rank provides a clear comparison between scores. 

1.0Percentile Rank Meaning

Percentile rank is a statistical measure that indicates the relative standing of a value within a dataset. It tells us the percentage of scores in the distribution that fall below a particular value.

For example:

If your test score is in the 85th percentile rank, it means you scored better than 85% of the other test-takers.

2.0Difference Between Percentile and Percentile Rank

Feature

Percentile

Percentile Rank

Definition

A value below which a certain percentage of data falls.

The percentage of scores in a distribution that are less than or equal to a specific value.

Use

Helps in identifying the value that marks a particular percentile (e.g., 90th percentile = score 95).

Helps determine where a particular score stands in the data distribution.

Example

The 60th percentile in an exam is 78 marks.

A student who scored 78 has a percentile rank of 60.

3.0Percentile Rank Formula

1. Percentile Rank Formula for Ungrouped Data

If the dataset is not categorized into intervals (ungrouped), use this formula:

Percentile Rank=NR​×100

Where:

  • R = Number of values below the score
  • N = Total number of values in the dataset

This gives the percentage of scores less than the given value.

2. Percentile Rank Formula for Grouped Data

When dealing with grouped data (values grouped into class intervals), use this formula:

Percentile Rank=i(L+f(PN−CF)​)−L​×100

Where:

  • L = Lower boundary of the percentile class
  • P = Desired percentile (as a decimal, e.g., 0.75 for 75th percentile)
  • N = Total number of data values
  • CF = Cumulative frequency before the percentile class
  • f = Frequency of the percentile class
  • i = Class interval size

4.0Example of Percentile Rank (Ungrouped Data)

Suppose you have the following scores in a class:

58, 62, 70, 75, 80, 85, 90, 93, 95, 98

You scored 85. How do you find your percentile rank?

Step 1: Count how many values are below 85.

Values below 85: 58, 62, 70, 75, 80 → 5 values

Step 2: Total number of values N = 10

Step 3: Use the formula:

Percentile Rank=105​×100=50

So, your percentile rank is 50.

This means your score is better than 50% of your classmates.

5.0Solved Example on Percentile Rank

Example 1: A class of 50 students took a math test. Rohan scored 82 marks. The number of students who scored less than Rohan is 38. What is the percentile rank of Rohan?

Solution:

The formula for percentile rank is:

Percentile Rank (PR)=(Total number of valuesNumber of values below the score​)×100

Step-by-step:

  • Number of students below Rohan = 38
  • Total students = 50

PR=(5038​)×100=76

Answer:

Rohan’s percentile rank is 76.

This means Rohan scored higher than 76% of the students in the class.

Example 2: In a test, Rahul scored better than 42 out of 60 students. What is his percentile rank?

Solution:

PR=(6042​)×100=70

Rahul’s percentile rank is 70.

Example 3: Out of 40 students, Priya scored 88 marks. 28 students scored less than her and 3 students scored exactly 88. What is Priya’s percentile rank?

Solution:

For tied scores, use:

PR=(Total valuesNo. of values below+0.5×No. of values equal​)×100 

PR=(4028+0.5×3​)×100=(4029.5​)×100=73.75

Priya’s percentile rank is 73.75.

Example 4: A student scores the lowest in a group of 30. What is their percentile rank?

Solution:

No students scored below them.

PR=(300​)×100=0

The percentile rank is 0.

Example 5: In a group of 100 students, Ritu scored the highest. What is her percentile rank?

Solution:

99 students scored below her.

PR=(10099​)×100=99

Ritu’s percentile rank is 99.

Example 6: The scores in a class are:

65, 70, 75, 80, 85, 90, 95, 100

Find the percentile rank of the score 85.

Solution:

  • Values below 85: 65, 70, 75, 80 → 4 values
  • Values equal to 85: 1 value
  • Total values: 8

PR=(84+0.5×1​)×100=(84.5​)×100=56.25

Percentile rank of 85 is 56.25.

Example 7: Given the following frequency distribution:

Score Range

Frequency

0 – 20

5

21 – 40

10

41 – 60

8

61 – 80

12

81 – 100

5

If a student scored 78, find their percentile rank.

Solution:

  • Scores below 61–80: 5 + 10 + 8 = 23 students
  • Score falls within 61–80, so we estimate position:
  • Interval frequency = 12
  • 78 is near upper end of the class, so assume approx. 10 out of 12 in the group are below

Total below ≈ 23 + 10 = 33

Total students = 5 + 10 + 8 + 12 + 5 = 40

PR≈(4033​)×100=82.5

Approximate percentile rank is 82.5.

6.0Practice Questions on Percentile Rank

  1. In a class of 80 students, Arjun scored better than 60 students. What is his percentile rank?
  2. Out of 100 candidates in an exam, 73 scored less than Simran, and 4 scored the same as her. What is Simran’s percentile rank?
  3. There are 50 players in a race. A player finishes at 10th position from the top. What is their percentile rank?
  4. Given the dataset: 25, 30, 40, 45, 50, 55, 60, 65, 70, 75 Find the percentile rank of the score 55.
  5. The frequency table below shows test scores of students:

Score Range

Frequency

0 – 25

4

26 – 50

9

51 – 75

12

76 – 100

5

If a student scores 68, estimate their percentile rank.

  1. A student scored the lowest marks in a class of 45. What is the percentile rank of the student?

Answer Key (Short Solutions)

  1. PR = (60 / 80) × 100 = 75
  2. PR = ((73 + 0.5×4) / 100) × 100 = (75 / 100) × 100 = 75
  3. Players below = 40 → PR = (40 / 50) × 100 = 80
  4. Below 55: 25, 30, 40, 45, 50 → 5 values

Tied = 1 (55)

PR = ((5 + 0.5×1) / 10) × 100 = 55

  1. Below 51–75 range: 4 + 9 = 13

Approx. 9 of 12 in current class are below 68

PR ≈ ((13 + 9) / 30) × 100 = 73.3 (approx)

  1. PR = (0 / 45) × 100 = 0

Also Read:

Normal Distribution

Data Interpretation

Statistics

Mean Deviation

Alternative Hypothesis

Hypothesis Testing in Statistics

Cumulative Frequency Distribution

Continuous Frequency Distribution

Median of Grouped Data

Table of Contents


  • 1.0Percentile Rank Meaning
  • 2.0Difference Between Percentile and Percentile Rank
  • 3.0Percentile Rank Formula
  • 4.0Example of Percentile Rank (Ungrouped Data)
  • 5.0Solved Example on Percentile Rank
  • 6.0Practice Questions on Percentile Rank

Frequently Asked Questions

Percentile rank indicates the percentage of scores in a distribution that fall below a particular score.

No. Percentage is a value out of 100. Percentile rank shows relative position among peers, based on the number of scores below yours.

99. The top scorer can only have 99th percentile rank (100% would imply scoring better than themselves, which is not possible).

Yes. If a student has the lowest score, with no one below them, their percentile rank is 0.

Percentile rank is used when you're given a score and want to know the percent of people below it. Percentile gives you the score that corresponds to a given percentage of data.

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