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What is the Range of Different Data Types?

Published in Data Type Ranges 2 mins read

The range of different data types varies significantly depending on the specific type and the number of bytes it occupies. This range determines the minimum and maximum values that a variable of that type can store. Understanding data type ranges is crucial for efficient memory usage and preventing issues like overflow or underflow when writing code.

According to information provided by Microsoft Learn, specifically for MSVC compilers, some common data types and their ranges are detailed below.

Common Data Type Ranges

The following table, based on the Microsoft Learn reference on Data Type Ranges, illustrates the ranges for several integral data types:

Type Name Bytes Range of Values
unsigned short 2 0 to 65,535
long 4 -2,147,483,648 to 2,147,483,647
unsigned long 4 0 to 4,294,967,295
long long 8 -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807

Understanding Data Type Ranges

  • Signed vs. Unsigned: Data types can be either signed (able to represent positive and negative values) or unsigned (only positive values, including zero). Unsigned types effectively use their entire range to represent larger positive numbers compared to their signed counterparts of the same size.
  • Byte Size: The number of bytes a data type uses directly influences its range. More bytes mean more possible combinations of bits, leading to a larger range of representable values. For example, a long long uses 8 bytes, offering a significantly larger range than a short which typically uses 2 bytes.
  • Platform and Compiler Dependency: While standard C++ defines minimum range requirements, the exact sizes and ranges for types like int, long, and short can sometimes vary slightly between different compilers and platforms. The ranges listed above are specific to the MSVC compiler as indicated by the reference.

Choosing the appropriate data type based on the expected range of values is a fundamental aspect of programming to ensure data integrity and optimize performance and memory usage.

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