Is Numeric a Data Type in SQL?


Heather Bennett

Is Numeric a Data Type in SQL?

When working with databases, it is essential to understand the different data types available to store and manipulate data effectively. One of the commonly used data types is numeric. However, it is important to note that numeric is not a specific data type in SQL.

In SQL, there are several numeric data types that you can use:

  • INTEGER: This data type represents whole numbers without fractional parts. It can be signed or unsigned, depending on whether negative values are allowed.
  • FLOAT: The FLOAT data type is used to represent approximate numeric values with decimal points.

    It can store large and small numbers but may lack precision due to its floating-point representation.

  • DECIMAL: The DECIMAL data type is used for exact numeric values with decimal points. It provides precise storage for monetary or financial calculations where accuracy is crucial.
  • NUMERIC: Similar to the DECIMAL, the NUMERIC data type also stores exact numeric values. It provides precision and scale options for more control over the storage of decimal numbers.
  • BIGINT: The BIGINT data type stores large whole numbers, typically used when you need a range beyond what an INTEGER can hold.
  • TINYINT, SMALLINT, and MEDIUMINT: These are other variations of integer types that have different ranges based on the size requirements.

The choice of numeric data type depends on the requirements of your data and the operations you intend to perform. It is essential to choose the appropriate data type to ensure efficient storage and accurate calculations.


Let’s consider an example where we have a table called Products. This table contains information about various products, including their prices. In this case, we would use a numeric data type to store the product prices.


  ProductID INT,

  ProductName VARCHAR(50),

  Price DECIMAL(10, 2)


In the above example, we used the DECIMAL data type for the Price column to store the product prices with two decimal places. This allows us to perform precise calculations involving monetary values.


In SQL, although there is no specific data type called numeric, there are several numeric data types available for different purposes. Understanding these numeric data types and choosing the appropriate one based on your requirements is crucial for accurate storage and manipulation of numerical values in databases.

I hope this article has provided you with a clear understanding of numeric data types in SQL!

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