Percentile Rank Calculator
Calculate percentile rank of a value within a dataset
Calculate Percentile Rank
Enter numbers separated by commas, spaces, or line breaks
The value doesn't need to be in your dataset
Example Calculation
Test Scores Example
Dataset: 6, 12, 13, 17, 17, 18, 20, 23, 24, 24, 25, 26, 27, 27, 30, 32, 33
Your score: 25
Total students: 17
Students scoring ≤ 25: 11
Calculation
PR = (L / N) × 100
PR = (11 / 17) × 100
PR = 64.7%
This means you scored better than or equal to 64.7% of students.
Percentile Rank Guide
0th Percentile
Minimum value
25th Percentile
First quartile (Q1)
50th Percentile
Median
75th Percentile
Third quartile (Q3)
100th Percentile
Maximum value
Usage Tips
Higher percentiles indicate better relative performance
50th percentile equals the median of the dataset
Used in test scores, growth charts, and performance rankings
The value doesn't need to exist in your dataset
Understanding Percentile Rank
What is Percentile Rank?
Percentile rank indicates the percentage of values in a dataset that are less than or equal to a specific value. It's a way to understand where a particular value stands relative to others in the same dataset.
Applications
- •Educational assessment and test scoring
- •Medical growth charts and health metrics
- •Performance evaluation and benchmarking
- •Financial analysis and market research
Formula Explanation
PR = (L / N) × 100
- PR: Percentile rank (0-100)
- L: Number of values ≤ target value
- N: Total number of values in dataset
Example: If you score better than 75% of test takers, your percentile rank is 75, meaning you're in the 75th percentile.