Introduction:
SQL Server is a powerful relational database management system that makes it easy to store, query, and manipulate data. One of the most common tasks that SQL developers need to do is to format numeric data with two decimal places. This can be a bit tricky, especially if you're new to SQL Server.
In this article, we'll show you how to get two decimal places in SQL Server. We'll start by explaining the basic concepts of numeric data types in SQL Server and how to convert between them. Then, we'll show you how to use the CONVERT function to format numeric data with two decimal places.
Numeric Data Types in SQL Server:
SQL Server provides several numeric data types to handle different levels of precision. The following table shows the most commonly used numeric data types in SQL Server:
Numeric data type Description
INT A 4byte integer value (range: 2,147,483,648 to 2,147,483,647)
BIGINT An 8byte integer value (range: 9,223,372,036,854,775,808 to 9,223,372,036,854,775,807)
DECIMAL(p,s) A fixedpoint decimal value with p digits, s of which are to the right of the decimal point
NUMERIC(p,s) Also a fixedpoint decimal value with p digits, s of which are to the right of the decimal point
FLOAT(n) A floatingpoint number with 53 bits of precision
REAL A floatingpoint number with 24 bits of precision
When you store a numeric value in SQL Server, you need to choose the appropriate data type based on the level of precision that you need. For example, if you're storing a currency value that has two decimal places, you might choose the DECIMAL or NUMERIC data type with a precision of 10 and a scale of 2.
Converting Numeric Data Types:
Before we can format a numeric value with two decimal places, we need to understand how to convert between numeric data types in SQL Server. SQL Server provides several builtin functions for converting numeric data types, including:
 CAST: Converts an expression to a specified data type
 CONVERT: Converts an expression to a specified data type, with additional formatting options
The syntax for these functions is as follows:
CAST(expression AS data_type)
CONVERT(data_type, expression, style)
In the above syntax, expression is any valid SQL expression, and data_type is the target data type that you want to convert to.
Using the CONVERT Function to Format Numeric Data:
To format a numeric value with two decimal places in SQL Server, we can use the CONVERT function with the style parameter set to 2. The syntax for this function is as follows:
CONVERT(DECIMAL(10,2), numeric_value, 2)
In the above syntax, DECIMAL(10,2) specifies the target data type with a precision of 10 and a scale of 2. numeric_value is the value that you want to format. The style parameter is set to 2, which specifies that SQL Server should format the value as ##0.00.
Here's an example of how to use this function to format a numeric value with two decimal places:
DECLARE @numeric_value DECIMAL(10,2)
SET @numeric_value = 1234.56
SELECT CONVERT(DECIMAL(10,2), @numeric_value, 2)
This code will return the value "1,234.56".
Conclusion:
Formatting numeric data with two decimal places is a common task in SQL Server. By understanding the basics of numeric data types and how to convert between them, you can use the CONVERT function to format numeric data with precision. With the examples provided in this article, you can now easily get two decimal places in SQL Server.
Numeric Data Types in SQL Server:
As mentioned before, SQL Server provides several numeric data types to handle different levels of precision. Let's explore some of these data types in detail.
INT Data Type:
The INT data type is a 4byte integer value, which means it can hold a range of values from 2,147,483,648 to 2,147,483,647. It is often used to represent whole numbers in a SQL Server database.
BIGINT Data Type:
The BIGINT data type is an 8byte integer value, which means it can hold a range of values from 9,223,372,036,854,775,808 to 9,223,372,036,854,775,807. It is often used to represent very large whole numbers in a SQL Server database.
DECIMAL and NUMERIC Data Types:
The DECIMAL and NUMERIC data types are fixedpoint decimal values that can hold a range of values with a specified precision and scale. The precision specifies the number of digits that the value can hold, while the scale specifies the number of digits to the right of the decimal point.
For example, the DECIMAL(10,2) data type can hold a value with up to 10 digits of precision and 2 digits to the right of the decimal point. This data type is commonly used to represent currency values.
FLOAT Data Type:
The FLOAT data type is a floatingpoint number with 53 bits of precision. It is used to represent scientific or mathematical values that require a high level of precision.
REAL Data Type:
The REAL data type is a floatingpoint number with 24 bits of precision. It is used to represent scientific or mathematical values that do not require a high level of precision.
Converting Numeric Data Types:
CAST and CONVERT are builtin functions in SQL Server that allow you to convert one data type to another. Here are some examples of how to use these functions.
CAST:
To convert a value to a specific data type using CAST, you can use the following syntax:
CAST(value AS data_type)
For example, to convert the value "1234" to an INT data type, you can use the following code:
SELECT CAST('1234' AS INT)
This code will return the value "1234" as an INT data type.
CONVERT:
To convert a value to a specific data type using CONVERT, you can use the following syntax:
CONVERT(data_type, value, style)
For example, to convert the value "1234" to a DECIMAL data type with two decimal places, you can use the following code:
SELECT CONVERT(DECIMAL(10,2), '1234', 2)
This code will return the value "1,234.00" as a DECIMAL data type with two decimal places.
Conclusion:
In SQL Server, numeric data types are used to store and manipulate numerical values in a database. By selecting the appropriate data type based on the level of precision that you need, you can ensure that your data is accurate and consistent. By understanding how to convert between numeric data types using functions such as CAST and CONVERT, you can manipulate and format numeric data in a way that meets your specific requirements.
Popular questions

What is the difference between the DECIMAL and NUMERIC data types in SQL Server?
Answer: The DECIMAL and NUMERIC data types are both fixedpoint decimal values with a specified precision and scale. The difference between them is that the DECIMAL data type allows for more digits of precision than the NUMERIC data type. For example, a DECIMAL(10,2) data type can hold a number with up to 10 digits of precision and 2 digits to the right of the decimal point. 
How can you format a numeric value with two decimal places using the CONVERT function in SQL Server?
Answer: To format a numeric value with two decimal places using the CONVERT function in SQL Server, use the following syntax: CONVERT(DECIMAL(10,2), numeric_value, 2). In this syntax, the DECIMAL(10,2) specifies the target data type with a precision of 10 and a scale of 2, numeric_value is the value that you want to format, and 2 is the style parameter that specifies that SQL Server should format the value as ##0.00. 
What is the difference between the CAST and CONVERT functions in SQL Server?
Answer: Both the CAST and CONVERT functions in SQL Server allow you to convert one data type to another. The difference between them is that the CAST function can only convert to a specified data type, while the CONVERT function can also format the output using a style parameter. 
What data type should be used to store very large whole numbers in a SQL Server database?
Answer: The BIGINT data type should be used to store very large whole numbers in a SQL Server database. It is an 8byte integer value that can hold a range of values from 9,223,372,036,854,775,808 to 9,223,372,036,854,775,807. 
How can you convert a value to a specific data type using the CAST function in SQL Server?
Answer: To convert a value to a specific data type using the CAST function in SQL Server, use the following syntax: CAST(value AS data_type). In this syntax, value is the value that you want to convert, and data_type is the target data type that you want to convert to. For example, to convert the value "1234" to an INT data type, you can use the following code: SELECT CAST('1234' AS INT).
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Precision