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title: "<= (Less Than or Equal To) (Transact-SQL) | Microsoft Docs" ms.custom: "" ms.date: "03/13/2017" ms.prod: "sql" ms.prod_service: "database-engine, sql-database, sql-data-warehouse, pdw" ms.service: "" ms.component: "t-sql|language-elements" ms.reviewer: "" ms.suite: "sql" ms.technology:

  • "database-engine" ms.tgt_pltfrm: "" ms.topic: "language-reference" f1_keywords:
  • "<="
  • "Less"
  • "Equal To"
  • "<=_TSQL"
  • "Less Than"
  • "Equal" dev_langs:
  • "TSQL" helpviewer_keywords:
  • "<= (less than or equal to operator)"
  • "less than or equal to operator (<=)" ms.assetid: 1f05474c-0377-48cb-b567-9d85d0c40479 caps.latest.revision: 34 author: "douglaslMS" ms.author: "douglasl" manager: "craigg" ms.workload: "On Demand" monikerRange: ">= aps-pdw-2016 || = azuresqldb-current || = azure-sqldw-latest || >= sql-server-2016 || = sqlallproducts-allversions"

<= (Less Than or Equal To) (Transact-SQL)

[!INCLUDEtsql-appliesto-ss2008-all-md]

Compares two expressions (a comparison operator). When you compare nonnull expressions, the result is TRUE if the left operand has a value lower than or equal to the right operand; otherwise, the result is FALSE.

Unlike the = (equality) comparison operator, the result of the >= comparison of two NULL values does not depend on the ANSI_NULLS setting.

Topic link icon Transact-SQL Syntax Conventions

Syntax

expression <= expression

Arguments

expression
Is any valid expression. Both expressions must have implicitly convertible data types. The conversion depends on the rules of data type precedence.

Result Types

Boolean

Examples

A. Using <= in a simple query

The following example returns all rows in the HumanResources.Department table that have a value in DepartmentID that is less than or equal to the value 3.

-- Uses AdventureWorks  
  
SELECT DepartmentID, Name  
FROM HumanResources.Department  
WHERE DepartmentID <= 3  
ORDER BY DepartmentID;

[!INCLUDEssResult]

DepartmentID Name  
------------ --------------------------------------------------  
1            Engineering  
2            Tool Design  
3            Sales  
  
(3 row(s) affected)

See Also

Data Types (Transact-SQL)
Operators (Transact-SQL)