Most Common Format

Pie Chart with Percentages

Last reviewed on 2026-05-22.

Percentages auto-calculated, auto-labeled, ready to export

Build a percentage chart

Why most pie charts show percentages

A pie chart's whole job is showing parts of a whole. Percentages are the most direct way to communicate that share — "42%" tells the reader exactly what proportion of the total each slice represents, no calculation required. Raw values work too, but percentages are comparable across charts with different totals.

How to add percentages with this tool

  1. Open the maker and enter your data (labels and raw values).
  2. In the Settings panel, set Labels to "Percentage" — each slice gets a % label automatically.
  3. Choose "Name + %" if you want both the category name and the percentage on each slice.
  4. Export as PNG or SVG. The percentages stay in the exported image.

Tips for clean percentage labels

When the percentages don't add to 100%

Rounding can leave a chart at 99% or 101%. Two options: switch to one-decimal-place precision (more often sums correctly), or add a footnote saying "Totals may not sum to 100% due to rounding." The math is fine — it's a display issue, not a data issue.

Tip: If your audience cares more about absolute values than proportions, show raw values on the slices instead and put the total in the title. Pie chart percentages work best when the share is the headline.

Frequently Asked Questions

How do I add percentages to my pie chart?

Set the Labels dropdown to 'Percentage' (or 'Name + %' for both). The tool calculates each slice's share automatically based on the values you enter.

Can I show both percentage and value labels?

Pick one for the slice labels and put the other in the legend. Doing both on a single slice usually looks crowded.

Why do my percentages add to 99% or 101%?

Rounding. Either accept it (with a footnote) or switch to one-decimal-place precision, which is more likely to sum correctly.

Should I always show percentages on a pie chart?

For analytical use, yes. For decorative charts where the visual story is enough, you can drop labels. But if viewers might want to compare two slices precisely, labels are essential.

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