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Applies to: 
 SQL Server 
 Azure SQL Database 
 Azure SQL Managed Instance 
 Azure Synapse Analytics 
 Analytics Platform System (PDW) 
 SQL analytics endpoint in Microsoft Fabric 
 Warehouse in Microsoft Fabric
Returns the statistical variance of all values in the specified expression. May be followed by the OVER clause.
 Transact-SQL syntax conventions
Syntax
-- Aggregate Function Syntax   
VAR ( [ ALL | DISTINCT ] expression )  
  
-- Analytic Function Syntax  
VAR ([ ALL ] expression) OVER ( [ partition_by_clause ] order_by_clause)  
Arguments
ALL
Applies the function to all values. ALL is the default.
DISTINCT
Specifies that each unique value is considered.
expression
Is an expression of the exact numeric or approximate numeric data type category, except for the bit data type. Aggregate functions and subqueries are not permitted.
OVER ( [ partition_by_clause ] order_by_clause)
partition_by_clause divides the result set produced by the FROM clause into partitions to which the function is applied. If not specified, the function treats all rows of the query result set as a single group. order_by_clause determines the logical order in which the operation is performed. order_by_clause is required. For more information, see OVER Clause (Transact-SQL).
Return Types
float
Remarks
If VAR is used on all items in a SELECT statement, each value in the result set is included in the calculation. VAR can be used with numeric columns only. Null values are ignored.
VAR is a deterministic function when used without the OVER and ORDER BY clauses. It is nondeterministic when specified with the OVER and ORDER BY clauses. For more information, see Deterministic and Nondeterministic Functions.
Examples
A: Using VAR
The following example returns the variance for all bonus values in the SalesPerson table in the AdventureWorks2022 database.
SELECT VAR(Bonus)  
FROM Sales.SalesPerson;  
GO  
Examples: Azure Synapse Analytics and Analytics Platform System (PDW)
B: Using VAR
The following example returns the statistical variance of the sales quota values in the table dbo.FactSalesQuota. The first column contains the variance of all distinct values and the second column contains the variance of all values including any duplicates values.
-- Uses AdventureWorks  
  
SELECT VAR(DISTINCT SalesAmountQuota)AS Distinct_Values, VAR(SalesAmountQuota) AS All_Values  
FROM dbo.FactSalesQuota;  
Here's the result set.
Distinct_Values   All_Values
----------------  ----------------
159180469909.18   158762853821.10
C. Using VAR with OVER
The following example returns the statistical variance of the sales quota values for each quarter in a calendar year. Notice that the ORDER BY in the OVER clause orders the statistical variance and the ORDER BY of the SELECT statement orders the result set.
-- Uses AdventureWorks  
  
SELECT CalendarYear AS Year, CalendarQuarter AS Quarter, SalesAmountQuota AS SalesQuota,  
       VAR(SalesAmountQuota) OVER (ORDER BY CalendarYear, CalendarQuarter) AS Variance  
FROM dbo.FactSalesQuota  
WHERE EmployeeKey = 272 AND CalendarYear = 2002  
ORDER BY CalendarQuarter;  
Here's the result set.
Year  Quarter  SalesQuota              Variance
----  -------  ----------------------  -------------------
2002  1         91000.0000             null
2002  2        140000.0000             1200500000.00
2002  3         70000.0000             1290333333.33
2002  4        154000.0000             1580250000.00
See Also
Aggregate Functions (Transact-SQL)
OVER Clause (Transact-SQL)