`int`

variables just lop off the fractional part of a variable. In some cases, you need a variable type that offers the best of two worlds:
- Like a floating-point variable, it can store fractions.
- Like an integer, numbers of this type offer exact values for use in computations — for example, 12.5 is really 12.5 and not 12.500001.

`decimal`

. A `decimal`

variable can represent a number between 10^{–28}and 10

^{28}— which represents a lot of zeros! And it does so without rounding problems.

## Declaring a decimal

Decimal variables are declared and used like any variable type, like this:`decimal m1 = 100; // Good`

`decimal m2 = 100M; // Better`

The first declaration shown here creates a variable `m1`

and initializes it to a value of `100`

. What isn’t obvious is that 100 is actually of type `int`

. Thus, C# must convert the `int`

into a `decimal`

type before performing the initialization. Fortunately, C# understands what you mean — and performs the conversion for you.

The declaration of `m2`

is the best. This clever declaration initializes `m2`

with the `decimal`

constant 100M. The letter *M* at the end of the number specifies that the constant is of type `decimal`

. No conversion is required.

## Comparing decimals, integers, and floating-point types

The`decimal`

variable type seems to have all the advantages and none of the disadvantages of `int`

or `double`

types. Variables of this type have a very large range, they don’t suffer from rounding problems, and 25.0 is 25.0 and not 25.00001.The `decimal`

variable type has two significant limitations, however. First, a `decimal`

is not considered a counting number because it may contain a fractional value. Consequently, you can’t use them in flow-control loops.

The second problem with `decimal`

variables is equally serious or even more so. Computations involving `decimal`

values are significantly slower than those involving either simple integer or floating-point values. On a crude benchmark test of 300,000,000 adds and subtracts, the operations involving `decimal`

variables were approximately 50 times slower than those involving simple `int`

variables. The relative computational speed gets even worse for more complex operations. Besides that, most computational functions, such as calculating sines or exponents, are not available for the `decimal`

number type.

Clearly, the `decimal`

variable type is most appropriate for applications such as banking, in which accuracy is extremely important but the number of calculations is relatively small.