Easy Tech TutsHow to Create Age Groups in Power BI (DAX Banding Technique) Easily 2026
By Impran M N
Raw age values are hard to analyze on their own, but grouping them into bands makes demographic trends much easier to spot. This tutorial covers the DAX banding technique for creating age groups in Power BI, then visualizing and applying those groups in a report.
01Prepare your age data
Make sure your dataset has a clean numeric age field to work from before writing any DAX.
02Write a DAX banding formula
Use a calculated column or measure with nested logic (such as SWITCH or IF) to bucket ages into ranges like 18-24, 25-34, and so on.
03Visualize the age groups
Add the new age group field to a chart or matrix to see how metrics like sales or engagement break down across each band.
04Apply it to your industry
Use age banding for use cases such as marketing segmentation or healthcare demographics where age brackets matter more than exact values.
Frequently asked questions
What's the advantage of banding ages instead of using raw values?
Banding groups similar ages together, making trends and comparisons in charts much easier to read than dozens of individual age values.
Do I need to be advanced in DAX to do this?
No, the banding technique uses fairly basic conditional logic and is approachable even for Power BI beginners.
Can I change the age ranges later?
Yes, since it's a DAX formula you can edit the boundaries anytime to match different reporting needs.
Will this update automatically as new data comes in?
Yes, because it's calculated from the underlying age field, new records are banded automatically as the data refreshes.
Watch the full walkthrough
The same steps, demonstrated on screen from start to finish.
