Average CSV Columns

Average CSV Columns instantly calculates the average value for each column in your CSV. Trim fields, skip non-numeric cells, and export the results.

Paste your input above or import a file below.
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Supported file types: .csv, .txt, .tsv, .log, .json, .xml, .md, .ini, .yaml, .yml, .html, .htm, .css
Total characters: 0
Options
Trim fields
Ignore non-numeric values
Maximize output

How to Use:

  • Paste your CSV data into the CSV Input box or import a file using Choose File. Supported formats include .csv, .txt, and other plain text types.
  • Toggle Trim fields to remove extra spaces before calculation.
  • Enable Ignore non-numeric values to skip cells that don’t contain valid numbers. If disabled, non-numeric values will count as zeroes.
  • Use Maximize output to expand the result box for easier reading.
  • The Average Output updates live and flashes on each change. It displays the original header followed by a row of calculated averages.
  • Click Copy Output to copy the result or Export to File to save it.
  • A live Total characters count appears below the output.
  • Press Clear All to reset everything including input, toggles, and uploaded file.

What Average CSV Columns can do:

Average CSV Columns helps you quickly analyze tabular numeric data by calculating the average value for each column. It skips headers, trims unnecessary spaces, and gives you clean averages row-wise. It’s ideal for grading sheets, performance metrics, or any numerical spreadsheet you want summarized in a single row. All processing happens in your browser no uploads or installs required.

Example:

Input:

Name,Math,Science,English
Alice,90,85,92
Bob,78,88,85
Charlie,85,91,89

Output:

Name,Math,Science,English
,84.33,88.00,88.67

With Ignore non-numeric on:The “Name” column average will be blank and skipped.

Common Use Cases:

Use Average CSV Columns when summarizing test scores, financial reports, or survey results. It’s especially helpful for educators, analysts, or admins who want fast column averages from structured data without loading it into a spreadsheet.

Useful Tools & Suggestions:

Before averaging, use Analyze CSV to double-check for any non-numeric stragglers that might mess with your results. And if you want row-level summaries too, try Sum CSV Rows alongside it.

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