N047-M3 Tier 4 · Advanced · medium hr · Helix Systems

Return every department's ID, name, and total employee count

Part of Correlated Subqueries in SQL

The problem

Helix Systems' HR director needs a headcount summary across every department to review staffing levels.

Write a query to return every department's ID, name, and total employee count.

Assumptions:

  • A department's employee count is the number of employees linked to that department_id.
  • Every department must appear, including departments with no employees. Departments with no employees should show a count of 0.

Output:

  • One row per department, with columns id, name, and employee_count.
Schema · hr 4 tables
departments
id integer
name text
location text
budget numeric
salaries
id integer
employee_id integer
amount numeric
effective_date date
end_date? date
employees
id integer
name text
email text
department_id integer
manager_id? integer
hire_date date
title text
is_active boolean
job_history
id integer
employee_id integer
title text
department_id integer
start_date date
end_date? date

Run previews · Check grades

Write a query, then run it to see results here.

Worked solution Try it yourself first
Solution query
SELECT
  d.id,
  d.name,
  (
    SELECT
      COUNT(*)
    FROM
      employees e
    WHERE
      e.department_id = d.id
  ) AS employee_count
FROM
  departments d

The shape

The headcount belongs to each department row, so \COUNT(*)\ goes inline in the \SELECT\ list as a correlated subquery. For every department, the inner query runs once against \employees\ filtered to that department's \id\, and the result is attached as the third column. A department with no employees gets \0\ from \COUNT(*)\ over an empty set, which is the value the spec asks for.

Clause by clause

  • \SELECT d.id, d.name, (SELECT COUNT(*) FROM employees e WHERE e.department_id = d.id) AS employee_count\ returns the department's id and name, then the per-department headcount. The inner \WHERE e.department_id = d.id\ references the outer \d.id\, which is what creates the correlation. \COUNT(*)\ always returns an integer, never NULL, so empty departments show \0\ rather than a missing value.
  • \FROM departments d\ reads every department. No outer \WHERE\ because the spec requires every department in the output, including the empty ones.

Why this and not \LEFT JOIN\ plus \GROUP BY\

\SELECT d.id, d.name, COUNT(e.id) FROM departments d LEFT JOIN employees e ON e.department_id = d.id GROUP BY d.id, d.name\ returns the same numbers, including \0\ for empty departments. The correlated form is one expression instead of a join, an outer-join condition, and a \GROUP BY\ list. When the only thing the report needs from the related table is one scalar per outer row, the inline subquery is the more direct shape.

You practiced a correlated COUNT(*) against a related table — 0 propagates naturally when no related records match, no COALESCE needed.

How you actually get good at SQL

Reading explains SQL. Writing it, over and over with instant feedback, is what makes you fluent.

That's the whole SQLMaxx loop: 600+ real problems, instant AI feedback, mastery you can actually see, and spaced review that won't let you forget.

A stack of SQL practice problem cards, the top card showing an employees table.
615 problems · 66 concepts

Real problems. Not toy examples.

615 hand-built problems spanning all 66 concepts, from basic SELECTs to window functions, built on real schemas and real business questions, the kind you'll actually get asked on the job. Enough reps to make SQL automatic.

A retro computer showing a SQL query marked correct with a green checkmark.
Instant AI feedback

Write a query. Know if it's right in one second.

No copying an answer and hoping it clicked. The AI grader checks your real query against real data, catches exactly what's wrong, and explains the fix in plain English, like a senior analyst reading over your shoulder on every problem.

A circular mastery progress dial filling from blue to green, the SQLMaxx diamond at its center.
Mastery tracking

Stop guessing whether you actually know it.

SQLMaxx tracks every concept and shows you what you've mastered and what's still shaky. Your skills fill in one concept at a time, so 'I think I get joins' becomes something you can prove.

A SQL query editor circled by a blue return arrow with a clock, scheduled to come back for review.
Spaced review

Learn it once. Keep it for good.

Most of what you learn this week fades by next week. So when a concept comes due for review, SQLMaxx hands you a fresh problem to solve from a blank editor, not a flashcard to re-read. A research-backed spaced-repetition algorithm (FSRS) times each return for right before you'd forget, so your SQL is still there months later, when the interview or the job actually needs it.

Practice, feedback, mastery, review. That's the loop that turns reading into real skill.

Start free

No account, no credit card. Start solving in under a minute.