The SELECT DISTINCT statement is used to return only distinct (different) values.
Retrieve the distinct countries listed in the “Customers” table.
| SELECT DISTINCT Country FROM Customers; | 
In a table, a column frequently comprises numerous repetitive values; occasionally, you may seek to display only the unique (distinct) values.
| SELECT DISTINCT column1, column2, ... | 
Here is a segment from the Customers table employed in the illustrations:
| CustomerID | CustomerName | ContactName | Address | City | PostalCode | Country | 
| 1 | Alfreds Futterkiste | Maria Anders | Obere Str. 57 | Berlin | 12209 | Germany | 
| 2 | Ana Trujillo Emparedados y helados | Ana Trujillo | Avda. de la Constitución 2222 | México D.F. | 05021 | Mexico | 
| 3 | Antonio Moreno Taquería | Antonio Moreno | Mataderos 2312 | México D.F. | 05023 | Mexico | 
| 4 | Around the Horn | Thomas Hardy | 120 Hanover Sq. | London | WA1 1DP | UK | 
| 5 | Berglunds snabbköp | Christina Berglund | Berguvsvägen 8 | Luleå | S-958 22 | Sweden | 
Without including the DISTINCT keyword, the SQL query will retrieve the “Country” value from every record in the “Customers” table.
| SELECT Country FROM Customers; | 
Employing the DISTINCT keyword within the COUNT function allows us to retrieve the count of unique countries.
| SELECT COUNT(DISTINCT Country) FROM Customers; | 
| Please note that the COUNT(DISTINCT column_name) function is not compatible with Microsoft Access databases. | 
Here is a workaround for MS Access:
| SELECT Count(*) AS DistinctCountries FROM (SELECT DISTINCT Country FROM Customers); | 
Later in this tutorial, you’ll gain insight into the COUNT function.