Enter a minimum and maximum value, choose how many decimal places you need, and pick how many numbers to generate — the Decimal Random Number Generator returns a set of uniformly distributed pseudo-random decimal numbers within your specified range. You can also opt to sort the results and prevent duplicates.
First Generated Number
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Smallest in Set
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Largest in Set
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Average (Mean)
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Numbers Generated
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A decimal random number generator is an algorithm that produces numbers with fractional parts (digits after the decimal point) within a specified range. In practice, these are pseudo-random numbers — they appear random and are suitable for most tasks, but are generated by a deterministic mathematical formula rather than a truly unpredictable physical process.
An integer random number is a whole number with no fractional part (e.g. 7, 42, 100). A decimal random number includes digits after the decimal point (e.g. 7.38, 42.051). Decimal generators are useful when you need finer granularity — for example, simulating measurements, prices, probabilities, or coordinates.
Enter your desired minimum and maximum values, set the number of decimal places, choose how many numbers you want, and click Calculate. The tool uses the formula: random value = lower + Math.random() × (upper − lower), then rounds to your chosen precision.
Yes — every integer can be written as a decimal by appending .0 (or more zeros). For example, 5 = 5.0 = 5.00. To produce integers with this tool, simply set Decimal Places to 0.
The numbers produced are pseudo-random, meaning they come from a deterministic algorithm (JavaScript's Math.random()). They are statistically uniform and unpredictable enough for simulations, games, sampling, and most everyday uses, but are not suitable for cryptographic security. True randomness — derived from physical phenomena like atmospheric noise — requires specialised hardware or services.
When duplicates are disallowed, every number in the generated set will be unique. Use this when you need distinct values — for example, picking lottery numbers, assigning unique IDs, or sampling without replacement. Note that if you request more unique numbers than the range allows at the given precision, the tool will return as many unique values as possible.
This tool supports generating up to 500 numbers in a single run. Results are displayed in a sortable table so you can easily scan, copy, or export them. For very large datasets, consider running multiple sessions.
Random decimals are widely used in statistics (random sampling), software testing (generating test data), simulations (Monte Carlo methods), games (procedural content), education (practice problems), and data science (noise injection or bootstrapping). The ability to set a precise range and precision makes this tool versatile across all these fields.