**Is Number a Data Type in SQL?**

When working with databases, one of the most common requirements is to store and manipulate numerical data. In SQL, the Structured Query Language, various data types are available to represent different kinds of values.

But is there a specific data type for numbers in SQL? Let’s explore this question in detail.

## The Numeric Data Types in SQL

In SQL, numeric data types are used to store numbers with or without decimal places. The exact set of numeric data types available may vary slightly between different database management systems (DBMS), but there are some common numeric data types that are widely supported.

### 1. INTEGER

The __INTEGER__ data type is used to store whole numbers without any decimal places. It typically represents signed integers within a specified range, which can be positive or negative values.

### 2. FLOAT

The __FLOAT__ data type is used to store floating-point numbers, which can have decimal places. It provides a way to represent both very large and very small numbers with precision.

### 3. DECIMAL or NUMERIC

The __DECIMAL__ or __NUMERIC__ data type is used to store fixed-point numbers with a specific precision and scale. This means that you can define the total number of digits allowed and the number of digits after the decimal point.

## Numeric Data Type Usage Examples

To better understand how these numeric data types work in practice, let’s consider some examples:

**Example 1:****Example 2:****Example 3:**

If you need to store the age of a person, you can use the __INTEGER__ data type. For example, `age INTEGER`

.

If you need to store the price of a product, which can have decimal places, you can use the __FLOAT__ data type. For example, `price FLOAT`

.

If you need to store the total sales amount with two decimal places for precision, you can use the __DECIMAL__ or __NUMERIC__ data type. For example, `total_sales DECIMAL(10,2)`

.

## Selecting and Manipulating Numeric Data Types

In SQL, you can perform various operations on numeric data types. Some common operations include:

**Addition:**Adding two numeric values together.**Subtraction:**Subtracting one numeric value from another.**Multiplication:**Multiplying two numeric values together.**Division:**Dividing one numeric value by another.

## In Conclusion

Numeric data types are essential in SQL for storing and manipulating numerical values. By understanding the available numeric data types and their usage examples, you can effectively represent and work with numbers in your database applications. Remember to choose the appropriate numeric data type based on your specific requirements to ensure accuracy and efficiency.

To summarize, SQL provides several numeric data types such as INTEGER, FLOAT, DECIMAL/NUMERIC that allow you to handle different types of numbers in your database. By using these data types and performing operations on them, you can efficiently work with numeric values in SQL.