How to Number Rows in Google Sheets: A Step-by-Step Guide

Published: January 25, 2024 - 4 min read

Julian Alvarado

Google Sheets is a go-to tool for data organization. 

Numbering rows, a basic feature, is key for clarity, especially in large datasets. This guide shows you how.

Preparing Your Google Sheets Document

Before diving into the process of numbering rows, it is vital to ensure that the Google Sheets document is set up properly. This preparation involves understanding the structure of rows and cells, as well as the organization of datasets and tables.

Understanding the Basics of Rows and Cells

In Google Sheets, each row is identified by a number along the left side of the sheet, while each cell refers to the individual “box” where a row and column intersect. 

Cells are named by their column letter and row number, such as A1 for the top-left cell. For successful numbering of rows, one must be familiar with how to navigate and select these cells.

Setting Up Your Dataset and Table

A well-organized dataset is the foundation of any functional table in Google Sheets. Before numbering rows, users should:

  • Ensure no blank rows: Blank rows can disrupt data organization. To remove them, select the rows by clicking the row numbers on the left, right-click, and choose Delete row.
  • Designate a column for numbers: One should decide where the serial numbers will go. Typically, this is the first column (A) of the dataset.
  • Organize the table: The data should be arranged in a clear, logical manner. Each column should represent a distinct category of data, ensuring that the dataset is ready for further manipulation or analysis.

Once these steps are completed, the document is ready for the addition of serial numbers, which will facilitate data management and referencing within Google Sheets.

Numbering Rows with Formulas and Tools

In Google Sheets, users have multiple methods at their disposal for numbering rows, each with its unique advantages. Whether through the use of built-in functions or the fill handle, these solutions offer tailored approaches to serial numbering based on the structure of one’s data.

Utilizing the ROW Function

The ROW function is a simple yet powerful tool when it comes to numbering rows. It can be used in its basic form without any additional arguments:


When entered into a cell, this formula returns the number of the row for that particular cell. For example, placing =ROW() in any cell of row 5 will yield the number 5. For a more specific range, users can include a cell reference within the parentheses:


The above would return 10, as cell A10 falls within the 10th row.

Implementing Formulas for Serial Numbers

To number rows in Google Sheets using serial numbers, a more composite formula may be necessary. Users can combine the ROW function with other operators to create a pattern. For instance:

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This formula, when placed in cell A3 and dragged down using the fill handle, increments the number by 1 for each subsequent row. Alternatively, employing the COUNTA function can create serial numbers that can dynamically adjust based on the dataset’s size:


To use this, users simply press enter after typing the formula into the first cell where the sequence should start, and then autofill down the desired data range.

Advanced Techniques: Automated Numbering with Functions

For instances where rows must be automatically numbered, Google Sheets offers advanced formulas that incorporate the IF function and ISBLANK function. Such formulas can selectively number rows only if data is present:


In this construct, the formula checks each cell in column A. If it is not blank (i.e., contains data), it numbers the row. Otherwise, it leaves it empty, enclosed by quotation marks. These advanced techniques help maintain an accurate row count even as new data is added or removed.


Numbering rows in Google Sheets streamlines data management, crucial for B2B SaaS teams. 

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Julian Alvarado Content Marketing
Julian is a dynamic B2B marketer with 8+ years of experience creating full-funnel marketing journeys, leveraging an analytical background in biological sciences to examine customer needs.
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