Estimation question
How many airports are in the US and in the World?
- Estimation
- Easy
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What this question tests
Estimation using known reference points and reasonable ratios to size two related quantities.
How to approach it
- Anchor on a known reference: the US has around 5,000 public use airports, with roughly 500 handling commercial passenger traffic.
- Estimate the world total by scaling relative to US land area and economic development, since airport density correlates with infrastructure investment.
- Assume the world has roughly 4 to 5 times the airports of the US given its larger population and land area, landing near 20,000 to 25,000.
- State clearly that the number varies hugely depending on whether small private airstrips are counted.
- Cross check against a known reference point, such as commercial airports worldwide numbering around 40,000 when including smaller regional strips.
- Present both numbers as ranges with the counting definition stated up front.
What a strong answer includes
- Explicitly separates public use versus commercial airports, since the definition changes the answer by an order of magnitude.
- Anchors on a real reference number for the US before scaling to a global estimate.
- States the scaling assumption clearly, e.g. assumes global count is 4 to 5 times the US given relative land area and development.
- Presents ranges rather than false precision, acknowledging the definition dependent uncertainty.
Common mistakes
- Giving one number without stating whether it includes small private airstrips or only commercial airports.
- Skipping any reference anchor and guessing from nothing.
- Overly precise single numbers with no stated uncertainty.
Likely follow-up questions
- How would your answer change if you only counted commercial airports?
- What data source would you check to validate this?
- Why did you scale by land area rather than population?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop