SUM a column based on a condition in MySQL

Let us first create a table −

mysql> create table DemoTable
(
   CustomerId int NOT NULL AUTO_INCREMENT PRIMARY KEY,
   ProductAmount int,
   CustomerCountryName varchar(10)
);
Query OK, 0 rows affected (0.86 sec)

Insert some records in the table using insert command −

mysql> insert into DemoTable(ProductAmount,CustomerCountryName) values(190,'US');
Query OK, 1 row affected (0.23 sec)
mysql> insert into DemoTable(ProductAmount,CustomerCountryName) values(200,'UK');
Query OK, 1 row affected (0.12 sec)
mysql> insert into DemoTable(ProductAmount,CustomerCountryName) values(1500,'AUS');
Query OK, 1 row affected (0.17 sec)
mysql> insert into DemoTable(ProductAmount,CustomerCountryName) values(2010,'US');
Query OK, 1 row affected (0.13 sec)
mysql> insert into DemoTable(ProductAmount,CustomerCountryName) values(7890,'UK');
Query OK, 1 row affected (0.10 sec)
mysql> insert into DemoTable(ProductAmount,CustomerCountryName) values(500,'US');
Query OK, 1 row affected (0.21 sec)

Display all records from the table using select statement −

mysql> select *from DemoTable;

This will produce the following output −

+------------+---------------+---------------------+
| CustomerId | ProductAmount | CustomerCountryName |
+------------+---------------+---------------------+
|          1 |           190 | US                  |
|          2 |           200 | UK                  |
|          3 |          1500 | AUS                 |
|          4 |          2010 | US                  |  
|          5 |          7890 | UK                  |
|          6 |           500 | US                  |
+------------+---------------+---------------------+
6 rows in set (0.00 sec)

Following is the query to sum a column based on a condition. Here, you want to sum the records for the customers with a country “US” −

mysql> select SUM(ProductAmount) AS Total_Amount from DemoTable where CustomerCountryName='US';

This will produce the following output −

+--------------+
| Total_Amount |
+--------------+
|         2700 |
+--------------+
1 row in set (0.00 sec)