How to Find Iqr in Excel

This guide treats “find iqr in excel” the way busy spreadsheet users actually want it: answer first, then the reasoning. It is written for Excel but calls out every place Google Sheets differs, and the platform toggle at the top switches all shortcuts between Windows and Mac so nothing here assumes the keyboard you are not on.

Exact answer

In Excel: subtract the first quartile from the third: =QUARTILE.INC(A2:A101,3)-QUARTILE.INC(A2:A101,1).

Annotated stepsExcel
1

Put the values in one numeric column; text and blanks are ignored by QUARTILE, so they only distort the count.

2

Compute Q1 with =QUARTILE.INC(range,1) and Q3 with =QUARTILE.INC(range,3), each in its own cell.

3

Subtract to get the IQR, or write it as a single formula.

4

Use PERCENTILE.INC(range,0.25) and PERCENTILE.INC(range,0.75) if you prefer percentile notation; they return the same numbers.

5

Switch both to QUARTILE.EXC only if the method your field expects excludes the median from each half — and then use it for both quartiles.

=QUARTILE.INC(A2:A101,3)-QUARTILE.INC(A2:A101,1)
Ctrl+CthenCtrl+Shift+V+Cthen+Ctrl+VPaste values · WindowsMac

What this does

The interquartile range is the width of the middle half of the data — from the 25th percentile to the 75th. Unlike the full range or the standard deviation, it is unaffected by however extreme the smallest and largest values happen to be, which is why it is the spread measure of choice for skewed data such as salaries, response times and prices. The same idea underpins a lot of everyday Excel work, so the few minutes spent getting it right here pay back across every sheet you build afterwards. Treat it as a pattern, not a one-off, and it stops being something you look up and starts being something you reach for. For “find iqr in excel”, the reliable version is a short checking loop, not just the first command that appears to work. Run it on a deliberately small range first, watch how the affected cells change, and only then apply the same setup to the full sheet. When a formula is involved, keep the inputs labelled beside it, reference cells instead of typing values, and apply number formatting only after the result checks out. That is what makes a data step that keeps your analysis trustworthy useful in real work: repeatable, auditable, and not dependent on memory or luck.

A worked example

A column of 100 response times has QUARTILE.INC(range,1) = 12 seconds and QUARTILE.INC(range,3) = 27 seconds, so the IQR is 15 seconds: half of all requests finished within a 15-second band. A single 400-second timeout in the data changes the full range enormously and leaves the IQR untouched. One extreme value destroys the mean and the standard deviation together; the middle-half width is what still describes the data honestly after it arrives. One habit worth forming early: name the cells that hold your inputs, so the formula reads in plain language instead of a string of cell addresses. A reviewer — or you in three months — can then follow the logic without decoding what B7 and D2 were supposed to mean, which is most of what makes a sheet maintainable.

In Google Sheets

If you are in Google Sheets rather than Excel, the good news is that the formula shown here is identical and the workflow barely changes — menus sit across the top instead of in a ribbon, and a few function names differ slightly, but anything you build here moves across with little or no rework. The aim was to get you unstuck fast and leave you a little more capable than a copy-paste would. The answer is at the top, the tool proves it, and the detail above shows why it holds — so the next time a colleague asks, you can answer without reaching for search. Treat “find iqr in excel” as a small building block rather than a chore. Once the inputs sit in their own cells and the formula reads from them, the same setup answers a dozen related questions with a tweak, and Excel keeps every dependent figure current as the data changes. The tool above is there so you can rehearse and verify before committing anything to a real workbook; the steps and worked example are there so the logic sticks. Get it right once and it stops costing you time — it starts saving it, every time the question comes back around.

Common mistakes

  • Mixing QUARTILE.INC for one quartile and QUARTILE.EXC for the other, which produces a width that corresponds to no method at all.
  • Comparing an Excel IQR against one computed by hand from the median-of-halves rule and treating the difference as an error; they are different conventions.
  • Running it over a range that includes the header or a total row.
  • Reporting the IQR as though it were the full range, which understates the spread by definition.

Frequently asked questions

Does Excel have an IQR function?

No. Subtract QUARTILE.INC(range,1) from QUARTILE.INC(range,3).

INC or EXC?

QUARTILE.INC includes the median in both halves and is the method the legacy QUARTILE function uses, so it is the safer default for an existing model. QUARTILE.EXC excludes it and returns slightly wider quartiles on small samples. Note that Excel's own Box and Whisker chart defaults to the exclusive method, so a chart and a hand-computed IQR can disagree until you match them.

How do I get Q1 and Q3 on their own?

QUARTILE.INC(range,1) and QUARTILE.INC(range,3). Quart 0 is the minimum, 2 is the median and 4 is the maximum.

What is the IQR used for?

Describing the spread of skewed data, drawing the box in a box plot, and defining the 1.5×IQR fences used to flag extreme values.

Other ways people ask this

This is also commonly searched as “find iqr in excel”, “how to find the iqr in excel” and “finding iqr in excel”. They describe the identical operation, so you are in the right place no matter how you phrased it.

Why do people search for this in so many different ways?

Because the same task has many names. “find iqr in excel”, “how to find the iqr in excel”, “finding iqr in excel” all point at the one operation explained on this page, which is why they all lead here.