Excel Remove Blank Rows: Step-by-Step Tutorial

Introduction

As a Microsoft Office Specialist & Business Productivity Specialist with over 12 years of experience, I’ve encountered countless spreadsheets cluttered with blank rows. These empty rows can lead to errors in data analysis and reporting, so it’s crucial to know how to eliminate them efficiently.

In this tutorial you will learn multiple practical techniques to remove blank rows in Excel: manual deletion, built-in features (filters and Go To Special), and an automated VBA macro. Each method includes step-by-step instructions, security considerations, and troubleshooting tips so you can apply the right approach for datasets of any size.

Preparing Your Data: Best Practices Before Cleaning Up

Organizing Your Data

Before removing blank rows, confirm the scope of your changes and create a backup copy (Save As — e.g., filename_backup.xlsx). Work on a copy when possible to avoid accidental data loss. Then:

  • Sort data by relevant columns (e.g., Date, ID) to reveal gaps.
  • Use filters or conditional formatting to visualize blank cells.
  • Scan for formulas that return empty strings (""), which appear blank but are not empty cells.
  • Document columns that must remain intact (lookup keys, formulas).

Tip: When formulas return "" (empty string) and you want to remove rows where all visible values are blank, convert formulas to values first (copy > Paste Special > Values) on a copy of the sheet to avoid accidental deletion of dynamic content.

Manual Methods: Deleting Blank Rows One at a Time

Using the Delete Function

For small datasets, select the entire row by clicking its row number, right-click > Delete > Entire row. After deletion, verify that formulas and named ranges still reference the intended cells.

  • Select the row(s) to delete.
  • Right-click > Delete > Entire row.
  • Recalculate (F9) or check dependent formulas for errors.

Manual deletion provides precise control but is impractical for large sheets. Use this only when you must review each deletion individually.

Using Excel's Built-In Features: Find and Remove Blanks

Utilizing Excel's Go To Special Feature

Go To Special is a fast way to select blank cells in a contiguous range:

  1. Select the range (or the entire sheet with Ctrl+A).
  2. Press F5 (or Ctrl+G) > Special > Blanks.
  3. Right-click any selected cell > Delete > Entire row (or Entire column).

Keyboard sequence summary: F5 > Special > Blanks > Right-click > Delete > Entire row.

When using Go To Special, be aware that cells with formulas that return an empty string (""") are NOT considered blank. If you need to treat those as blank, replace "" with actual blanks first (e.g., use a helper column to detect LEN(cell)=0 and filter on that).

Action Description Benefit
Select Blanks Identify truly empty cells in the range Fast bulk selection
Delete Rows Remove selected rows Quick cleanup
Validate Check dependent formulas Preserve data integrity

Advanced Techniques: Using Filters and Macros for Efficiency

Applying Excel Filters to Identify Blanks

Filters let you isolate blank rows in a specific column (or across multiple columns using a helper column):

  1. Select your header row and click Data > Filter.
  2. Click the filter dropdown for the target column and choose only “(Blanks)”.
  3. Select the visible rows (they are blanks) > Right-click > Delete Row.
  4. Clear filters to return to the full dataset.

Use filters when blanks are meaningful only in certain key columns (e.g., missing ID or Email). If a row is blank across multiple columns, create a helper column with a formula like =COUNTA(A2:Z2) and filter on 0.

VBA Macro: Automate Removing Blank Rows

For large sheets, a VBA macro can speed up the process. The example below removes rows where a specific column is blank (e.g., column A). It is suitable for Excel for Microsoft 365, Excel 2019, and Excel 2016. Adjust the target column and worksheet name as needed.

Macro: Delete Rows Where Column A Is Blank

Sub DeleteBlankRows_InColumnA()
    Dim ws As Worksheet
    Dim lastRow As Long
    Dim r As Long

    ' Change Sheet1 to your sheet name
    Set ws = ThisWorkbook.Worksheets("Sheet1")

    Application.ScreenUpdating = False
    Application.Calculation = xlCalculationManual

    With ws
        lastRow = .Cells(.Rows.Count, "A").End(xlUp).Row
        For r = lastRow To 1 Step -1
            If Trim(.Cells(r, "A").Value) = "" Then
                .Rows(r).Delete
            End If
        Next r
    End With

    Application.Calculation = xlCalculationAutomatic
    Application.ScreenUpdating = True

    MsgBox "Blank rows removed where column A was empty.", vbInformation
End Sub

How to install and run the macro

  1. Enable the Developer tab (File > Options > Customize Ribbon > check Developer).
  2. Open the VBA editor (Alt+F11), Insert > Module, paste the macro.
  3. Save the workbook as a macro-enabled file (.xlsm).
  4. Run the macro from the Developer > Macros dialog or assign it to a ribbon button.

Security & best practices

  • Only run macros from trusted sources. Configure macro behavior in File > Options > Trust Center > Trust Center Settings > Macro Settings.
  • Sign your macros with a code-signing certificate for automated trust in corporate environments.
  • Work on a backup copy before running destructive macros. Consider adding an undo-safe routine that moves deleted rows to a "Staging" sheet instead of permanently deleting them.
  • If the sheet is protected, unprotect it first (or handle protection in the macro with ws.Unprotect "password" and re-protect afterwards).

Troubleshooting

  • If performance is slow on very large sheets (100k+ rows), filter first to narrow the target range, or delete in blocks rather than row-by-row.
  • If rows with formulas that return empty strings are not being removed, use If Len(.Cells(r, "A").Text)=0 Then or evaluate helper columns that detect visible emptiness.
  • Watch for merged cells: row deletion behavior changes when merged ranges span multiple rows.

Beyond Removing Blanks: General Data Hygiene

The Importance of Data Quality

Removing blank rows is one element of data hygiene. Regular audits, duplicate removal, and validation rules improve downstream analytics. Implement validation on data entry (Data > Data Validation) to prevent blanks in critical fields.

Use a combination of tools where appropriate: Excel for ad-hoc work, and programmatic tools for repeatable bulk operations. If you use Python for larger or automated pipelines, common choices include Python 3.10+ with pandas 1.5+; use them in ETL scripts outside Excel rather than inside workbooks.

Operational Best Practices

  • Automate recurring cleanups with scheduled scripts or Excel macros stored in a central, version-controlled workbook.
  • Log changes — record which rows were removed and why (store original rows on a staging sheet before deletion).
  • Train team members on safe macro usage and data validation rules to reduce future data quality regressions.

Excel Version Compatibility

Most described features (Go To Special, Filters, and VBA) are supported in Excel for Microsoft 365, Excel 2019, and Excel 2016. VBA macros run in the desktop versions of Excel (Windows and macOS Excel with VBA support). Web-based Excel (Excel for the web) does not support running VBA macros; use desktop Excel to execute macros and save the workbook as a macro-enabled file (.xlsm).

If you need automation in Excel for the web or cross-platform solutions, consider using Power Automate (cloud flows) or external scripts (Python/PowerShell) that operate on exported files.

Key Takeaways

  • Use Filters and Go To Special to quickly find and remove truly empty cells in Excel.
  • For repeated or large-scale cleanups, use a VBA macro and follow security best practices (sign macros, use backups).
  • Distinguish between truly blank cells and cells with formulas that return an empty string; treat them differently.
  • Document and log deletions, and enforce data validation to prevent the reintroduction of blanks.

About the Author

Rebecca Taylor

Rebecca Taylor is a Microsoft Office Specialist & Business Productivity Specialist with 12 years of experience in Excel advanced formulas, VBA macros, Access databases, and PowerPoint design. She focuses on practical, production-ready solutions and has implemented data-cleaning processes for mid-sized and enterprise teams.


Published: Oct 31, 2025 | Updated: Dec 27, 2025