Generate one or more random decimal numbers within any range you define. Set your minimum and maximum values, choose how many decimal places you want, and pick how many numbers to generate. Results can be sorted ascending, descending, or left in random order — duplicates optional.
Generated Numbers
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Numbers Generated
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Smallest Value
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Largest Value
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Average (Mean)
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A random decimal number generator is an algorithm that produces numbers with fractional parts (digits after the decimal point) that follow no predictable pattern. While truly random numbers require physical phenomena like atmospheric noise, most software generators produce 'pseudo-random' numbers that are statistically random enough for math, programming, simulations, and everyday use.
An integer is a whole number with no fractional part (e.g. 7, 42, -3). A decimal number includes a fractional part after the decimal point (e.g. 7.35, 42.891). You can set Decimal Places to 0 in this tool to generate integers, or increase it to get values with up to 10 decimal places of precision.
Simply enter your desired Minimum Value and Maximum Value, then click Generate. The tool will produce numbers uniformly distributed across that range — meaning every value within the range has an equal probability of being selected.
Yes. Any integer can be written as a decimal by appending '.0' (or more zeros) after the decimal point. For example, the integer 5 is the same as 5.0 or 5.000. Setting Decimal Places to 0 in this generator effectively produces integers.
When duplicates are disallowed, each generated number will appear only once in the results — like drawing unique tickets from a hat. This is useful for simulations, games, sampling, or any scenario where you need distinct values. Note: if you request more unique numbers than the precision allows within your range, the tool will generate as many unique values as possible.
This generator supports between 0 and 10 decimal places. Setting precision to 0 produces whole numbers (integers), while setting it to 10 gives you very fine-grained values. For most practical purposes, 2–4 decimal places is sufficient.
The numbers produced are pseudo-random, generated using JavaScript's built-in Math.random() function. They are statistically uniform and unpredictable for everyday purposes such as simulations, testing, games, and data sampling. For cryptographic or high-security applications, a dedicated hardware random number generator is recommended.
After generation, the tool shows the smallest and largest values in your results, plus the arithmetic mean (average). For a large enough sample, the mean should fall near the midpoint of your range — this is a useful check that the distribution is uniform.