Which of the Following Is Not a Numeric Data Type in SQL?


Heather Bennett

When working with SQL, it is essential to understand the different data types that can be used for storing and manipulating data. Among these data types, numeric data types play a significant role in representing numerical values accurately.

However, not all data types in SQL are numeric. In this article, we will explore which of the following is not a numeric data type in SQL.

Numeric Data Types in SQL

SQL provides several numeric data types that allow us to store and perform operations on numerical values. These data types include:

  • INTEGER: This data type is used to store whole numbers without any decimal places.
  • FLOAT: The FLOAT data type is used to store floating-point numbers with a decimal part.
  • DECIMAL: DECIMAL is used to store exact decimal values with a specified precision and scale.
  • NUMERIC: Similar to DECIMAL, NUMERIC is used for storing exact decimal values, but it allows for greater precision.

The Non-Numeric Data Type

The non-numeric data type among the options provided is VARCHAR. VARCHAR stands for variable-length character string and is used to store alphanumeric or text values of varying lengths. It cannot be used to represent or perform mathematical operations on numerical values like the other mentioned numeric data types.

Differences Between Numeric and Non-Numeric Data Types

To better understand why VARCHAR is not considered a numeric data type, let’s delve into some key differences between numeric and non-numeric data types in SQL:

  • Numeric data types are designed specifically for storing numerical values, while non-numeric data types are used for storing text, characters, or mixed alphanumeric values.
  • Numeric data types allow for mathematical calculations and comparisons, whereas non-numeric data types do not support such operations.
  • Numeric data types have specific storage requirements based on their precision and scale, while non-numeric data types have variable storage requirements based on the length of the value being stored.


In conclusion, when working with SQL, it is crucial to understand the different data types available and their intended purposes. While SQL offers various numeric data types for accurately representing numerical values, VARCHAR is a non-numeric data type used for storing text or alphanumeric values. By utilizing the appropriate data type for each scenario, you can ensure accurate representation and manipulation of your data in SQL.

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