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Percentile Rank of a Score Calculator

Find what percent of a data set falls below a given score.

Inputs

Results

Percentile rank45%

Chart

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Describe what you want to find — “percentile rank” — and jump to the right calculator.

How to use the percentile rank of a score calculator

Find what percent of a data set falls below a given score. Enter data values, score in the fields above; the percentile rank is computed instantly and plotted on the chart so you can see how the answer changes.

Common searches this calculator answers include “percentile rank”, “what percentile is my score”, “score rank in data”, “calculate percentile rank of a score”, “find percentile rank”.

Formula

Percentile rank (%) = (d.filter(function(v){return v<score}).length+0.5 × d.filter(function(v){return v==score}).length) / len(d) × 100

Variables

  • d — Data values
  • score — Score

Worked example

With data values = 3,5,7,8,9,10,12,15,18,21, score = 9, the calculator gives percentile rank ≈ 45 %.

Frequently asked questions

What is the percentile rank of a score calculator used for?

Find what percent of a data set falls below a given score. It helps with questions such as “percentile rank”, “what percentile is my score”, “score rank in data”.

What is the formula for the percentile rank of a score calculation?

Percentile rank (%) = (d.filter(function(v){return v<score}).length+0.5 × d.filter(function(v){return v==score}).length) / len(d) × 100. Here d is data values, score is score.

What inputs do I need for the percentile rank of a score calculator?

You need data values, score. Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.

How do I use the percentile rank of a score calculator?

Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.

Is the percentile rank of a score result exact?

Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.

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