Excel FREQUENCY Distribution Table

What this does

A frequency table counts how many values fall into each category or numeric bin. For text categories, =COUNTIF(range, criterion) per distinct value is enough. For numbers you either write COUNTIFS with an explicit lower and upper bound per bin — which is readable and easy to audit — or use FREQUENCY, which takes the whole data range and a bins array and spills one count per bin plus one extra for everything above the last bin. Keep the inputs visible and clearly labelled and the whole thing stays auditable — anyone who opens the file later, including you, can see at a glance exactly what feeds the result and change one assumption without hunting through the formula. Treat “excel frequency distribution table” as a small repeatable workflow rather than a one-off click you hope to remember next time. Use a small test block before the live file, so any surprise in the affected cells shows up while it is still harmless. 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 turns a layout choice that keeps the sheet readable and sortable into a method you can reuse, explain, and defend when the workbook leaves your screen.

A worked example

A2:A200 holds 199 order values. Bins in C2:C6 read 0, 50, 100, 200, 500 as upper bounds. =FREQUENCY(A2:A200, C2:C6) entered in D2 spills six numbers: the counts at or below each bound, plus a final count of everything above 500. Written as COUNTIFS instead, the 50–100 bin is =COUNTIFS($A$2:$A$200,">=50",$A$2:$A$200,"<100") — 47 orders. A frequency table is the first honest look at a column of numbers: it shows where the mass sits, whether the distribution is skewed, and whether an average is worth quoting at all. 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. Nothing on this page is behind a login: the tool runs entirely in your browser, the formula is shown in full with one-click copy, and the steps work the same on Windows and Mac. That is the whole promise here — the exact answer, a way to prove it on your own numbers, and just enough context to make it stick. If you take one thing from this page on “excel frequency distribution table”, make it the habit rather than the keystrokes: set the problem up with labelled inputs, reference those cells, and let Excel do the recomputing. Bookmark the page for the syntax, but do the example once in a blank sheet and check it against the tool above — five minutes of hands-on practice fixes the method in memory far better than re-reading, and it surfaces the small snags while they are still harmless. After that the technique is genuinely yours: faster than searching for it again, and reliable enough to drop into work that other people depend on.

Common mistakes

• Overlapping bins (0–50 and 50–100 both using >= and <=), which counts boundary values twice.
• Forgetting FREQUENCY returns one more value than the number of bins — the overflow count for everything above the last bound.
• Leaving the data range relative, so filling the formula down shifts it off the data; anchor it with $.
• Building bins after looking at the answer you want, which is how a distribution gets shaped to fit a conclusion.

Frequently asked questions