If you need to count unique numeric values in a range with criteria you can use a formula based on the SUM and FREQUENCY functions, together with the FUNCTION to apply criteria.

For example, assume you have a list of employee numbers that have logged hours in two different buildings: building A, and building B. You want know how many unique employees logged time in each building. Since the same employee numbers appear more than once in the list, you need a formula that will count unique Employee IDs per building.

In the example shown, the formula in G6 is:

*Note: this is an array formula and must be entered with Control Shift Enter (CSE) syntax*

### How this formula works

The FREQUENCY function returns an array of values that correspond to “bins”. In this case, we are supplying a “filtered” set of ids for the data array, and the full set of ids for the bins array. The filtering is done with the IF function here:

IF(B5:B14="A",C5:C14)

Which in the example returns this:

{81400;81405;81405;82364;82364;FALSE;FALSE;FALSE;FALSE;FALSE}

Notice that all ids not in building A gave been converted to FALSE.Next, FREQUENCY returns an array of values that represent a count for each numeric value in the data array. This works because FREQUENCY has a special feature that automatically returns zero for any numbers that appear more than once in the data array, so the return array looks like this:

{1;2;0;2;0;0;0;0;0;0;0}

Next, each of these values is tested to be greater than zero. The result looks like this:` `

{TRUE;TRUE;FALSE;TRUE;FALSE;FALSE;FALSE;FALSE;FALSE;FALSE;FALSE}

Each TRUE in the list represents a unique number in the list, and we just need to add up the TRUE values with SUM.

However, SUM won’t add up logical values in an array, so we need to first coerce the values into 1 or zero. This is done with the double-negative (double-unary). The result an array of only 1’s or 0’s.` `

{1;1;0;1;0;0;0;0;0;0;0}

Finally, SUM adds these values up and returns the total, which in this case is 3.