SQL Greater Than or Equal To (>=) Operator for Beginners

In SQL, the greater than or equal to operator (>=) compares two expressions and returns TRUE if the left operand has a value greater than or equal to the right operand; otherwise, it returns FALSE.

Example

Here’s an example to demonstrate.

SELECT * FROM city
WHERE Population >= 9269265
ORDER BY Population ASC;

Result:

+------+-----------------+---------------+--------------+--------------+
| ID   | Name            | CountryCode   | District     | Population   |
|------+-----------------+---------------+--------------+--------------|
| 2822 | Karachi         | PAK           | Sindh        | 9269265      |
| 939  | Jakarta         | IDN           | Jakarta Raya | 9604900      |
| 1890 | Shanghai        | CHN           | Shanghai     | 9696300      |
| 206  | São Paulo       | BRA           | São Paulo    | 9968485      |
| 2331 | Seoul           | KOR           | Seoul        | 9981619      |
| 1024 | Mumbai (Bombay) | IND           | Maharashtra  | 10500000     |
+------+-----------------+---------------+--------------+--------------+

This query returns all cities that have a population of greater than or equal to 9269265.

Inclusive

The greater than or equal to operator includes the specified value in its evaluation.

For example, the previous query included Karachi, which, according to this database, has a population of exactly 9269265.

If we wanted to exclude cities with that population, we would either need to increase the specified value:

SELECT * FROM city
WHERE Population >= 9269266
ORDER BY Population ASC;

Result:

+------+-----------------+---------------+--------------+--------------+
| ID   | Name            | CountryCode   | District     | Population   |
|------+-----------------+---------------+--------------+--------------|
| 939  | Jakarta         | IDN           | Jakarta Raya | 9604900      |
| 1890 | Shanghai        | CHN           | Shanghai     | 9696300      |
| 206  | São Paulo       | BRA           | São Paulo    | 9968485      |
| 2331 | Seoul           | KOR           | Seoul        | 9981619      |
| 1024 | Mumbai (Bombay) | IND           | Maharashtra  | 10500000     |
+------+-----------------+---------------+--------------+--------------+

Or we could simply use the greater than (>) operator instead:

SELECT * FROM city
WHERE Population > 9269265
ORDER BY Population ASC;

Result:

+------+-----------------+---------------+--------------+--------------+
| ID   | Name            | CountryCode   | District     | Population   |
|------+-----------------+---------------+--------------+--------------|
| 939  | Jakarta         | IDN           | Jakarta Raya | 9604900      |
| 1890 | Shanghai        | CHN           | Shanghai     | 9696300      |
| 206  | São Paulo       | BRA           | São Paulo    | 9968485      |
| 2331 | Seoul           | KOR           | Seoul        | 9981619      |
| 1024 | Mumbai (Bombay) | IND           | Maharashtra  | 10500000     |
+------+-----------------+---------------+--------------+--------------+

Dates

Here’s an example to demonstrate using the greater than or equal to operator to compare date values.

SELECT PetName, DOB 
FROM Pets
WHERE DOB >= '2020-03-15';

Result:

+-----------+------------+
| PetName   | DOB        |
|-----------+------------|
| Fluffy    | 2020-11-20 |
| Wag       | 2020-03-15 |
| Tweet     | 2020-11-28 |
| Fluffy    | 2020-09-17 |
+-----------+------------+

Strings

You can also use the greater than or equal to operator to compare string values. When comparing with a string value, use quotes around the string.

SELECT * FROM city 
WHERE Name >= 'Zukovski'
ORDER BY Name;

Result:

+------+----------+---------------+------------+--------------+
| ID   | Name     | CountryCode   | District   | Population   |
|------+----------+---------------+------------+--------------|
| 3756 | Zukovski | RUS           | Moskova    | 96500        |
| 2669 | Zumpango | MEX           | México     | 99781        |
| 2025 | Zunyi    | CHN           | Guizhou    | 261862       |
| 3245 | Zürich   | CHE           | Zürich     | 336800       |
| 3145 | Zwickau  | DEU           | Saksi      | 104146       |
| 28   | Zwolle   | NLD           | Overijssel | 105819       |
| 3446 | Zytomyr  | UKR           | Zytomyr    | 297000       |
+------+----------+---------------+------------+--------------+

Multiple Conditions

If you have multiple conditions, you can use multiple >= operators.

Like this:

SELECT * FROM city 
WHERE Name >= 'Zukovski' AND Population >= 200000;

Result:

+------+---------+---------------+------------+--------------+
| ID   | Name    | CountryCode   | District   | Population   |
|------+---------+---------------+------------+--------------|
| 2025 | Zunyi   | CHN           | Guizhou    | 261862       |
| 3245 | Zürich  | CHE           | Zürich     | 336800       |
| 3446 | Zytomyr | UKR           | Zytomyr    | 297000       |
+------+---------+---------------+------------+--------------+

Precedence

You can also use a combination of operators when filtering the results.

Note that SQL has an order of precedence that it assigns to different operator types. For example, it evaluates any conditional operators before any logical operators, such as AND and OR. It also evaluates any AND operators before any OR operators.

Parentheses have a higher precedence than all operators, and so you can use parentheses to specify the order in which each condition should be evaluated.

Consider the following example:

SELECT * FROM city 
WHERE Name >= 'Zukovski' 
    AND Population >= 100000
    OR District = 'Overijssel';

Result:

+------+----------+---------------+------------+--------------+
| ID   | Name     | CountryCode   | District   | Population   |
|------+----------+---------------+------------+--------------|
| 15   | Enschede | NLD           | Overijssel | 149544       |
| 28   | Zwolle   | NLD           | Overijssel | 105819       |
| 2025 | Zunyi    | CHN           | Guizhou    | 261862       |
| 3145 | Zwickau  | DEU           | Saksi      | 104146       |
| 3245 | Zürich   | CHE           | Zürich     | 336800       |
| 3446 | Zytomyr  | UKR           | Zytomyr    | 297000       |
+------+----------+---------------+------------+--------------+

In this query, I didn’t provide any parentheses, and so the AND operator was evaluated before the OR operator.

Therefore we got rows that satisfied either Name >= 'Zukovski' AND Population >= 100000 or District = 'Overijssel'. We can tell just by looking at this that all cities from the Overijssel district will be returned, plus any cities that satisfy the first criteria.

This is like doing the following:

SELECT * FROM city 
WHERE (Name >= 'Zukovski' 
    AND Population >= 100000)
    OR District = 'Overijssel';

That would give us the same result as the previous query without parentheses.

But look what happens when we move the parentheses to the OR condition.

SELECT * FROM city 
WHERE Name >= 'Zukovski' 
    AND (Population >= 100000
    OR District = 'Overijssel');

Result:

+------+---------+---------------+------------+--------------+
| ID   | Name    | CountryCode   | District   | Population   |
|------+---------+---------------+------------+--------------|
| 28   | Zwolle  | NLD           | Overijssel | 105819       |
| 2025 | Zunyi   | CHN           | Guizhou    | 261862       |
| 3145 | Zwickau | DEU           | Saksi      | 104146       |
| 3245 | Zürich  | CHE           | Zürich     | 336800       |
| 3446 | Zytomyr | UKR           | Zytomyr    | 297000       |
+------+---------+---------------+------------+--------------+

This time we got only those cities that satisfied both Population >= 100000 OR District = 'Overijssel' and Name >= 'Overijssel'.

This resulted in only one city from Overijssel being returned, as opposed to two in the previous query.

Negating the Condition

You can use the NOT operator to negate the condition provided by the >= operator. Here’s an example:

SELECT PetName, DOB 
FROM Pets
WHERE NOT DOB >= '2019-12-31';

Result:

+-----------+------------+
| PetName   | DOB        |
|-----------+------------|
| Fetch     | 2019-08-16 |
| Scratch   | 2018-10-01 |
+-----------+------------+