Is Number Is a Data Type in SQL?


Scott Campbell

Is Number a Data Type in SQL?

When working with databases, it’s essential to understand the different data types that are supported. SQL, or Structured Query Language, is no exception. While SQL provides several built-in data types for storing various kinds of information, such as text, dates, and Boolean values, you might wonder if it includes a specific data type for numbers.

SQL Data Types

SQL supports several numeric data types to store numerical values with different precisions and ranges. These include:

  • INTEGER: This data type represents whole numbers without decimal places.
  • FLOAT: The FLOAT data type allows the storage of floating-point numbers with a specified precision.
  • DOUBLE: Similar to FLOAT, DOUBLE provides higher precision for decimal values.
  • DECIMAL: DECIMAL is used to store fixed-point numbers with precise decimal places.

In addition to these numeric types, SQL also offers other specialized variations like TINYINT, SMALLINT, BIGINT for integers with specific ranges.

The Absence of Number Data Type in SQL

Interestingly, SQL does not have a specific “NUMBER” data type. Unlike other programming languages where NUMBER is commonly used to represent any numerical value, SQL takes a more granular approach by providing distinct numeric data types based on your precise needs.

This approach allows for better control over the storage requirements and ensures that each numeric value is stored efficiently without unnecessary overhead. By choosing the appropriate numeric data type based on your requirements and expected range of values, you can optimize storage space and prevent any potential loss of precision due to rounding errors or limitations in representation.

Choosing the Right Numeric Data Type

When working with numerical values in SQL, it’s crucial to select the appropriate data type based on factors such as the expected range of values, required precision, and storage efficiency.

If you need to store whole numbers without decimal places, INTEGER data type is usually sufficient. For floating-point numbers with a variable number of decimal places, FLOAT or DOUBLE might be more suitable. When exact precision is required for decimal numbers, DECIMAL should be chosen.

It’s worth noting that some databases might provide additional numeric data types beyond the ones mentioned above. Therefore, it’s always recommended to consult the documentation specific to your database management system to determine the complete list of available numeric data types and their characteristics.


In SQL, there isn’t a dedicated “NUMBER” data type. Instead, SQL offers a range of numeric data types like INTEGER, FLOAT, DOUBLE, and DECIMAL for specific use cases. By choosing the appropriate data type based on your requirements and expected range of values, you can ensure efficient storage and avoid any loss of precision.

Understanding these numeric data types in SQL is crucial for accurately representing and manipulating numerical values within your databases.

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