Continue statement in Javascript - Time & Space Complexity

Time Complexity: Continue statement

O(n)

Understanding Time Complexity

Let's see how using the continue statement affects the time it takes for a loop to run.

We want to know how skipping some steps changes the total work done.

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

for (let i = 0; i < n; i++) {
  if (i % 2 === 0) {
    continue;
  }
  console.log(i);
}
    

This code loops from 0 to n-1 but skips printing even numbers using continue.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: The for loop runs from 0 to n-1.
• How many times: The loop runs exactly n times, but continue skips some steps inside.

How Execution Grows With Input

Even though some steps are skipped, the loop still checks each number once.

Input Size (n)	Approx. Operations
10	10 checks, about 5 prints
100	100 checks, about 50 prints
1000	1000 checks, about 500 prints

Pattern observation: The total steps grow directly with n, even if some actions inside are skipped.

Final Time Complexity

Time Complexity: O(n)

This means the time grows in a straight line with the size of the input, no matter how many times we skip inside.

Common Mistake

[X] Wrong: "Using continue makes the loop run faster and reduces time complexity."

[OK] Correct: The loop still runs n times; skipping steps inside doesn't reduce the number of loop cycles.

Interview Connect

Understanding how control statements like continue affect loops helps you explain code efficiency clearly and confidently.

Self-Check

What if we replaced continue with an if statement that wraps the inner code instead? How would the time complexity change?