Learn how compression ratio works in ZIP files and how it helps reduce file size without losing any of your original data.
*ZIP files are a popular way to reduce a file’s size and combine PDFs or other documents to make data easier to store or share. A part of this process is called compression ratio, which tells you how much smaller a file becomes after it’s been compressed.
Understanding compression ratios can help you choose the best files to compress and determine the effectiveness of a compression tool.
In this article, we’ll break down what compression ratio means, how it works, and what factors influence it.*
Compression Ratio in ZIP Files Explained
Compression ratio in ZIP files refers to how much a file’s size has been reduced during the process of compressing it into a ZIP format. It’s a way of comparing the original file size to its compressed size, usually expressed as a ratio, such as 2:1, or a percentage, like 50% compression.
How Compression Ratio Works
When you compress a file into ZIP format, a compression algorithm, like DEFLATE, which is the most common for ZIP files, analyzes the file’s data and finds patterns or redundancies.
In the context of file compression, redundancy is the repeated or predictable patterns of data within a file. These patterns don’t need to be stored in full every time, and they can be replaced with shorter versions that take up less space.
The algorithm then rewrites this data more efficiently, requiring less storage space. The more redundant or repetitive the data, the higher the potential for compression.
For example, if a file was originally 10 MB and is reduced to 2 MB after compression, the compression ratio is 5:1, which means the compressed file is five times smaller than the original.

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Factors That Affect Compression Ratio
The compression ratio you get with a ZIP file depends on several factors:
- File type: Text-based files like .txt, .csv, or .xml compress well because they contain a lot of redundant data. Media files like .jpg, .mp4, or .mp3, on the other hand, are already compressed, so they won’t shrink much further in a ZIP file.
- Compression algorithm: As mentioned above, most ZIP files use the DEFLATE algorithm, but newer alternative compression tools may use more advanced algorithms to achieve better ratios.
- Compression level settings: Some tools let you choose between faster compression (lower ratio) and more thorough compression (higher ratio), depending on your needs.
- File size and complexity: Larger files with more repetitive structures tend to compress better than smaller, more complex files with less redundancy.
FAQs on What Is Compression Ratio in ZIP Files
What is a good file compression ratio?
A good file compression ratio typically ranges from 2:1 to 10:1, depending on the file type.
Text-based files often compress well, sometimes achieving ratios above 10:1, while compressed files like JPEGs or MP3s may see less reduction.
In general, a compression ratio above 3:1 is considered efficient. However, the best ratio depends on your file type and the compression method.
What does ratio mean in a ZIP file?
In a ZIP file, the ratio means how much the file size has been reduced through the compression process. It compares the original file size to the compressed one, usually shown as a ratio like 2:1 or as a percentage. For example, a 4:1 ratio means the file is four times smaller than its original size.
What is the best compression for ZIP files?
The best compression for ZIP files typically uses the DEFLATE algorithm, which balances good compression ratios with fast performance.
Some ZIP tools offer enhanced options like maximum or ultra compression levels, which can further reduce file size but may take longer. The ideal choice depends on your needs.
What does compression ratio tell you?
Compression ratio tells you how efficiently a file has been reduced in size during compression. It shows the relationship between the original file size and the compressed file size.
A higher ratio means more space has been saved, which helps you determine the effectiveness of the file compression process.
