In programming, data types are used to define the type of data that can be stored in a variable. Two common data types used for storing numbers are the numeric and decimal data types. While they may seem similar at first glance, there are important differences between them.

## Numeric Data Type

The numeric data type is used to store numbers without decimal places. It can be further classified into different subtypes based on the range of values it can hold:

**Integer**: Integers are whole numbers without any fractional or decimal parts. They can be positive or negative, including zero.**Smallint**: Smallint is a subtype of integer that has a smaller range of values compared to an integer.**Bigint**: Bigint is a subtype of integer that has a larger range of values compared to an integer.

The numeric data type is commonly used for calculations and operations where decimal places are not required. For example, counting items or tracking quantities can be easily done using integers.

## Decimal Data Type

The decimal data type, also known as the floating-point or real number data type, is used to store numbers with decimal places. It provides more precision and allows for fractional values.

Unlike the numeric data type, the decimal data type can represent both whole numbers and fractions accurately. This makes it suitable for financial calculations, measurements, and any situation where precise decimal values are required.

## Differences Between Numeric and Decimal Data Type

While both numeric and decimal data types deal with numbers, there are several key differences between them:

__Precision:__The decimal data type provides higher precision compared to the numeric data type. It can accurately store and perform calculations on decimal values without any loss of precision.__Storage Size:__The numeric data type generally requires less storage space compared to the decimal data type. This is because decimal numbers require additional bits to store the fractional part.__Range:__The range of values that can be stored in the numeric data type depends on its subtype, whereas the decimal data type has a fixed range defined by its precision.

When choosing between numeric and decimal data types, it is important to consider the specific requirements of your application. If you need precise calculations with decimal values, the decimal data type is a better choice. On the other hand, if you only need whole numbers or have limited storage constraints, the numeric data type may be more suitable.

## Conclusion

In summary, both numeric and decimal data types are used for storing numerical values in programming. The numeric data type is ideal for whole number calculations and has a smaller storage size, while the decimal data type provides higher precision for accurate representation of decimal values. Understanding their differences can help you choose the appropriate data type for your specific needs.