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SQL BETWEEN Operator(With Syntax and Examples)

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The BETWEEN operator in SQL serves as a tool for refining result sets by focusing on values within a predefined range in a particular column. It facilitates the extraction of rows whose column values lie within a specified range, encompassing both the lower and upper limits. SQL queries frequently employ the BETWEEN operator to streamline the retrieval of data that adheres to specific conditions.


SELECT column1, column2, ...
FROM table_name
WHERE column_name BETWEEN value1 AND value2;
  • column1, column2, ...: The columns you want to retrieve in the result set.
  • table_name: The name of the table you are querying.
  • column_name: The name of the column you want to apply the BETWEEN operator to.
  • value1 and value2: The lower and upper bounds of the range you want to filter on.

Usage Example: Suppose you have a table named employees with a column called, and you want to retrieve all employees with salaries between $40,000 and $60,000:

SELECT first_name, last_name, salary
FROM employees
WHERE salary BETWEEN 40000 AND 60000;

This SQL query will return all rows from the employees table where the salary falls within the specified range.

Read on:- SQL Tutorial to enhance your knowledge!

Things to Note while using SQL BETWEEN Operator

  1. Inclusive Range: The BETWEEN operator is inclusive, meaning it includes rows where the column value is equal to the lower and upper bounds. In the example above, employees with salaries of $40,000 and $60,000 would be included in the result.
  2. Data Types: The values used with the BETWEEN operator must be of compatible data types with the column being compared. For example, if you’re comparing dates, the values should be in a date format that the database can recognize.
  3. Negation with NOT: You can also use NOT BETWEEN to retrieve rows that do not fall within the specified range.
  4. Complex Conditions: You can combine BETWEEN with other SQL operators and conditions (e.g., AND, OR) to create more complex filtering criteria.

The SQL BETWEEN operator simplifies the process of selecting rows within a specific range of values, making it a valuable tool for querying databases and retrieving relevant data for analysis or reporting purposes.

Check the UPDATE Query in SQL blog!

Here’s a step-by-step guide with SQL code for creating a database, or table, inserting data, and using the BETWEEN operator:

Step 1: Create a Simple New Database in SQL

To create a new database in SQL, you can use the following code:


This SQL command will create a new database named “MyDatabase.”

Step 2: Create a New Table in SQL

Next, let’s create a new table within the “MyDatabase” database. Suppose we want to create a table to store employee information:

USE MyDatabase;

CREATE TABLE Employees (
FirstName VARCHAR(50),
LastName VARCHAR(50),
Salary DECIMAL(10, 2)

This code creates a table named “Employees” with columns for EmployeeID, FirstName, LastName, and Salary.

Step 3: Insert Data into the Table in SQL

Now, let’s insert some sample data into the “Employees” table:

INSERT INTO Employees (EmployeeID, FirstName, LastName, Salary)
(1, 'John', 'Doe', 50000.00),
(2, 'Jane', 'Smith', 60000.00),
(3, 'Alice', 'Johnson', 45000.00),
(4, 'Bob', 'Brown', 55000.00);

This SQL code inserts four records into the “Employees” table.

Step 4: View the Inserted Data in SQL

To view the data you’ve inserted, you can use a SELECT statement:

SELECT * FROM Employees;

This SQL query will display all the records in the “Employees” table.

Step 5: Use the BETWEEN Operator in SQL

Now, let’s use the BETWEEN operator to retrieve employees with salaries between $45,000 and $55,000:

SELECT * FROM Employees
WHERE Salary BETWEEN 45000.00 AND 55000.00;

This SQL query will return the employees whose salaries fall within the specified range.

These steps demonstrate how to create a database, create a table, insert data, and use the BETWEEN operator in SQL.

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About the Author

Data Engineer

As a skilled Data Engineer, Sahil excels in SQL, Business Intelligence, and database management. He has contributed to projects at companies like Bajaj and Tata. With a background in software engineering, he crafted efficient solutions for data pipelines, analytics, and software integration, driving insights and innovation.