Get the Maximum Salary per Department with GROUP BY
Return each department with its highest salary.
The challenge runs on the SQLabHub practice database (SQLite) and uses the employees table. You can solve it in the browser, with nothing to install.
The task
Find highest salary in each department.
A correct answer returns 10 rows with 2 columns: department, MAX(salary).
Tables used in this challenge
employees 120 rows
id INTEGER (PK) · first_name TEXT · last_name TEXT · email TEXT · department TEXT · department_id INTEGER · title TEXT · salary REAL · hire_date TEXT · manager_id INTEGER · city TEXT · status TEXT
| id | first_name | last_name | department | department_id | title | salary | hire_date | manager_id | city | status | |
|---|---|---|---|---|---|---|---|---|---|---|---|
The first rows of each table are shown. See how all the tables relate on the database schema page.
Expected output
| department | MAX(salary) |
|---|---|
The complete result: 10 rows. This is the output of the model solution on the practice database. The task does not fix a sort order, so your rows may come back in a different order.
What you practise
- Summarising many rows into one value with COUNT, SUM, AVG, MIN or MAX
- Grouping rows with GROUP BY to get one result row per group
Hint and approach
Try the challenge first. Open these only when you need them.
Show the hint
GROUP BY department
Show the step-by-step approach
How the model solution is built, in the order the database evaluates it:
- Read from the
employeestable. - Group the rows by
department, so the result has one row for each value. - For each group, compute
MAX(salary).
Model solution
Checking your session…
What to watch for
This returns the top salary figure for each department, not the person who earns it. Adding first_name to the SELECT list picks an arbitrary employee in SQLite and is an error in most other databases.
- GROUP BY. Every selected column must either be in GROUP BY or sit inside an aggregate. SQLite accepts other columns and returns an arbitrary value for them; most databases raise an error.
- Aggregate functions. Aggregates skip NULLs. AVG divides by the number of non-NULL values and COUNT(column) can be smaller than COUNT(*).
Related SQL challenges
- Calculate the Average Salary per DepartmentSimilar levelEasy
- Count Employees in Each DepartmentSimilar levelEasy
- Find the Last Order Date for Each CustomerHarderMedium
- Total Sales per Order Status with SUM and GROUP BYSimilar levelEasy
- Find the Lowest Price in Each CategorySimilar levelEasy
Same technique, other tables
More practice on this pattern with different columns:
Keep learning
- Lesson: GROUP BY
- Lesson: Aggregate Functions
- All SQL practice challenges, by difficulty and topic
- SQL interview questions with answers
- SQL Playground: run any query on the same database