Microsoft Excel is a powerful tool for organizing and analysing data, and knowing how to swap columns in Excel can help you better structure your information. Whether you’re reorganizing a dataset, fixing formatting issues, or improving readability, swapping columns is a simple yet essential skill.
In this beginner-friendly guide, we’ll walk you through multiple ways to swap columns in Excel, with easy-to-follow steps and practical examples.
Why Swap Columns in Excel?
Swapping columns in Excel can help you:
- Reorganize data for better readability
- Prepare datasets for analysis or reporting
- Maintain consistency in formatting
- Improve workflow efficiency
Now, let’s dive into the step-by-step methods to swap columns
Method 1: Drag and Drop to Swap Columns Easily
This method works best for small datasets when you need a fast way to move columns around.
Steps:
- You can open your Excel worksheet and find the columns you want to swap.

Figure 1: Open your Excel
2. Click on the column header of the column you want to move (e.g., column B).

Figure 2: Click the column Header
3. Hover over the border of the selected column until you see a four-sided arrow (move cursor).

Figure 3: four-sided arrow move cursor
4. Press and hold the Shift key on your keyboard.

Figure 4: Hold the Shift key
5. Could you drag the column to its new position

Figure 5: Drag the new position
6 . Release the mouse button and then the Shift key. Your column will now be swapped with the existing column in that position.

Figure 6: Release the mouse button and shift key
Method 2: Cut and Insert (For Large Datasets)
For larger datasets, the cut and insert method ensures accuracy and prevents formatting issues.
Steps:
- Select the entire column you want to move by clicking on its header.
- Press
Ctrl + X
to cut the column. - Click on the column header where you want to insert the cut column.
- Right-click and choose ‘Insert Cut Cells’ from the dropdown menu.
Conclusion
Swapping columns in Excel is a simple yet powerful technique to organize your data efficiently. Whether you use drag and drop, cut and insert, or sorting with a helper row, choosing the right method depends on your dataset size and workflow.
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