What is the Averageifs function with multiple criteria in Excel?

How Do You Use AVERAGEIF With Multiple Columns? – A Complete Guide

Introduction: Unlocking the Power of AVERAGEIF in Excel

    Excel is more than just a spreadsheet tool – it’s a powerhouse for calculations, data analysis, and decision-making. Among its many functions, AVERAGEIF is a favorite for quickly calculating averages based on conditions. But here’s the big question: Can you use AVERAGEIF with multiple columns? The short answer is Yes – with some smart techniques.

    In this comprehensive guide, we’ll explore step-by-step methods, examples, and real-life applications of using AVERAGEIF across multiple columns. Whether you’re a student trying to manage marks, a teacher evaluating performance, or a professional analyzing business data, this post will give you practical strategies to make Excel work smarter for you.


What is AVERAGEIF in Excel?

    The AVERAGEIF function calculates the average (arithmetic mean) of cells that meet a given condition. Its syntax is:

=AVERAGEIF(range, criteria, [average_range])
  • range – The range of cells you want to apply the condition to.

  • criteria – The condition (e.g., ">50", "=Delhi").

  • [average_range] – The actual range to average (if different from the range).

Example:

If you want the average of marks greater than 60 in column A:

=AVERAGEIF(A2:A10, ">60")

✅ Result: Average of all marks above 60.

The Challenge: Multiple Columns

The tricky part comes when you need to apply AVERAGEIF across multiple columns. For example:

  • Average sales across January, February, and March for a specific salesperson.

  • Average marks across multiple subjects for students scoring above 50.

  • Average expenses across different departments when criteria are met.

Unfortunately, Excel does not allow multiple ranges in AVERAGEIF directly. But don’t worry—we’ll cover several workarounds you can use.


Method 1: Using AVERAGE + IF (Array Formula)

If you want to average multiple columns based on a condition, combine AVERAGE with IF.

Formula Example:

Suppose you have student marks in columns B to D, and you want the average for marks >50:

=AVERAGE(IF(B2:D10>50, B2:D10))
  • This is an array formula (in older Excel, press Ctrl + Shift + Enter; in newer Excel versions, it auto-calculates).

  • It checks each cell in the range and averages only those above 50.


Method 2: Using Helper Column

Sometimes the simplest way is to create a helper column that consolidates data.

Example:

If you have marks in columns B, C, and D:

=AVERAGE(B2:D2)

This gives the average for each student. Now you can use:

=AVERAGEIF(E2:E10, ">50")

where E is the helper column.

➡️ Pros: Simple and easy. ➡️ Cons: Adds extra columns, which may not be desirable in large datasets.


Method 3: SUMPRODUCT for More Control

    The SUMPRODUCT function is powerful for handling multiple criteria across columns.

Example:

To find the average of sales greater than 500 across columns B:D:

=SUMPRODUCT((B2:D10>500)*B2:D10) / SUMPRODUCT((B2:D10>500)*1)
  • Numerator = Sum of values >500

  • Denominator = Count of values >500

  • Together → Average of values >500

Method 4: Using Power Query

For large datasets, Power Query (built into Excel) is extremely efficient.

  1. Load data into Power Query.

  2. Unpivot columns (convert multiple columns into rows).

  3. Apply filtering/criteria.

  4. Group by condition and calculate average.

This method is scalable and great for dynamic datasets.


Best Practices for Using AVERAGEIF with Multiple Columns

  • Keep it simple: Use helper columns for beginners.

  • Go advanced: Use SUMPRODUCT or array formulas for flexibility.

  • For big data: Use Power Query to handle multiple columns efficiently.

  • Document your work: Add comments in Excel formulas so others understand your logic.

  • Test on sample data first before applying on large datasets.


Conclusion

Using AVERAGEIF with multiple columns may look tricky at first, but with the right methods—array formulas, helper columns, SUMPRODUCT, or Power Query—you can easily manage it. Whether you’re a student, teacher, or business professional, these techniques will make data analysis much smoother.

 Remember, start simple and gradually move to advanced techniques.