What is a Pareto chart? Definition, parts and when to use one

A Pareto chart is a bar chart with one extra ingredient — a cumulative percentage line — that turns a list of counts into a decision about where to focus first. Here is exactly how to read one.

· 5 min read

Example Pareto chart data: reasons for order cancellations

Example Pareto chart data: reasons for order cancellations
ReasonCancellations
Shipping delay240
Found cheaper130
Ordered by mistake70
Changed mind40
Payment issue20

Illustrative sample — replace it with your own numbers in the chart below.

The three parts

Categories with counts become bars, sorted tallest first. A line shows the running percentage of the total. A threshold — usually 80% — marks where the vital few end.

  • Bars: how much each category contributes
  • Line: how much the top N categories contribute together
  • Threshold: the cut-off between the vital few and the useful many

Where the name comes from

Economist Vilfredo Pareto observed around 1906 that roughly 80% of Italy's land belonged to about 20% of the population. Quality pioneer Joseph M. Juran later generalised the pattern into "the vital few and the useful many" and named the chart after Pareto.

When to use it — and when not to

Use a Pareto chart when you have categories and counts and need to prioritise: defects, complaints, causes, channels, products. It answers "where is the leverage?"

Do not use it for trends over time (use a line chart), for relationships between two numbers (use a scatter plot), or when categories overlap so much the counts double-count the same events.

Run this analysis yourself

The example data is already loaded. Edit it, or paste your own, and the vital few update instantly.

Your data

Calculations run in your browser. Saving uploads the analysis; asking AI sends its data for processing.

CSV, TSV or pasted spreadsheet cells. Delimiter detected automatically (5 data rows).

What does this data measure?
80%
5 valid categories · 0 rows excluded (empty label, invalid or non-positive value).

Saving supports up to 500 input rows. Duplicate labels are combined in the result.

Preview the first 20 usable rows
Shipping delay240
Found cheaper130
Ordered by mistake70
Changed mind40
Payment issue20

Example Pareto chart data: reasons for order cancellations

3 categories account for 88% of total impact.
Total
500
Categories
5
Vital few
3
Top 20% share
48%

Priority #1

Shipping delay

48% of total · 240

Pareto chart
Ranked contributors
#CategoryValueShareCumulative
1Shipping delay
Vital few
24048%48%
2Found cheaper
Vital few
13026%74%
3Ordered by mistake
Vital few
7014%88%
4Changed mind408%96%
5Payment issue204%100%
Key insights

3 of 5 categories account for 88% of total impact.

Vital few: Shipping delay, Found cheaper, Ordered by mistake.

Shipping delay is the largest contributor at 48%.

Shipping delay represents 240 of a total of 500.

Moderate concentration: the top 20% of categories hold 48%.

There is a leading group, but the long tail still matters.

2 categories share the remaining 12%.

These are the trivial many under the Pareto principle.

Recommended actions
1

Review Shipping delay first.

It is the single largest contributor at 48% of total impact.

2

Review opportunities across the wider process.

Impact is spread out — the top 20% only accounts for 48%.

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Key takeaways

  • Bars + cumulative line + threshold, or it is just a bar chart.
  • It answers one question: where does effort pay off most?
  • Named by Juran, after Pareto's 80/20 land observation.

Try a Pareto chart on your data