Percentile Rank Calculator
Enter data values and a target to see the percentile rank, summary statistics, and quartile breakdown.
The percentile rank shows the percentage of observations at or below the target value. Ties are handled by giving half weight to equal values.
Percentile rank
56.25%
24.00 is higher than 56.25% of the dataset.
Values below: 4
Values equal: 1
Total values: 8
Dataset Summary
Count
8
Minimum
12.00
Maximum
33.00
Median
22.50
Lower quartile (Q1)
17.25
Upper quartile (Q3)
27.75
Interquartile range (IQR)
10.50
How to Use This Calculator
- Enter your dataset using spaces or commas to separate numeric values.
- Provide the target value you want to rank within the dataset.
- Review the percentile rank output and the tie-adjusted counts below and equal to the target.
- Use the dataset summary to understand overall distribution characteristics.
Formulas
Percentile rank = [values < x + 0.5 × values = x] ÷ total × 100%
Quartiles are computed via linear interpolation at 25%, 50%, and 75% positions of the sorted data.
These definitions align with common statistical practices, matching spreadsheet and statistical software behavior.
Frequently Asked Questions
Can percentile rank exceed 100%?
No. Valid datasets always produce ranks between 0% and 100% inclusive.
Do I need to sort the data first?
No. The calculator sorts the data internally before computing ranks or quartiles.
What if the target value is outside the dataset?
Targets smaller than the minimum produce low ranks, while targets larger than the maximum produce ranks near 100%.
How are ties handled?
Equal values receive half weight so that tied observations split the percentile evenly.