Schedule mock interviews on the Meeting Board, join the latest community discussions in our Consulting Q&A and find like-minded Case Partners to connect and practice with!
Back to overview

Market Sizing Beginner Level

Hey there, I struggle with this basic market sizing reasoning: 

Assume that, on average, a Chinese woman has 2 babies in her lifetime (pregnancy: 18 months = 1½ years). If we assume a life expectancy of 75 years, then we have on average 2% of all female population pregnant at a given time (1.5 years/75years).

What I get: 2 percent of her lifeTIME spends a Chinese women being pregnant on avg. 
What I don't get: why can we equal this 2% of an average lifetime with 2 percent of the female population pregnant at a given time. 

I really don't get the reasoning behind it. Are there implicit assumptions not stated here? I would be very happy for some easy, clear (and alternative) examples to get the reasoning. 

1 Answer
2.1k Views
8
Be the first to answer!
Nobody has responded to this question yet.
Top answer
Sidi
Coach
on Aug 08, 2018
McKinsey Senior EM & BCG Consultant | Interviewer at McK & BCG for 7 years | Coached 400+ candidates secure MBB offers

The implicit assumption that is missing from your outline is that the female population is evenly distributed over the the life expectancy. From that assumption you can conclude that the probability of any random woman in the sample being pregnant is 2% (hint: this is true independent of whether we assume a constraint in the possible age of pregnancy or not - the statement will be true in either case if we base it on the entire female population).

Cheers, Sidi

on Aug 08, 2018
Dear Sidi, first of all: thank you for your fast and great response. To make sure I understood it correctly: given the even distribution, the probability of a 75 year old woman being pregnant (randomly picked) is the same as the probability of a 25 year old woman being pregnant - ofc this is not the case, but it follows this reasoning?
Sidi
Coach
on Aug 09, 2018
McKinsey Senior EM & BCG Consultant | Interviewer at McK & BCG for 7 years | Coached 400+ candidates secure MBB offers
No! The probability of a randomly picked woman to be pregnant is 2%! The probability of her having a certain age is factored into these 2% already! So if for example you assume that only women between 15 and 50 can get pregnant, then of course the probability WITHIN this age bracket is higher. But based on the ENTIRE female population it is still 2%.
on Aug 10, 2018
Okey..still struggle with it... I only get that for every age we have the same amount of people (i.e. the probability is 1/75 to pick someone who for example is 25 years old). Also I get that on average a Chinese woman spends 2% of her lifetime pregnant on average. But I don't get have we can link this together to come up with the conclusion that 2 % of chinese women are pregnant right now. Do you have any tipps how to get this reasonsing? Maybe other examples? Highly appreciated... Best, Cédric
Similar Questions
Consulting
Time to apply and the intake for new hire?
on Feb 29, 2024
Global
7 Answers
5.0k Views
Top answer by
Florian
Coach
1400 5-star reviews across platforms | 500+ offers | Highest-rated case book on Amazon | Uni lecturer in US, Asia, EU
172
7 Answers
5.0k Views
+4
Consulting
Is it possible to re-apply for MBB Full-Time roles (MBB will be recruiting for a May 2025 start date now) despite being a May 2024 Graduate?
on Jan 04, 2024
Global
6 Answers
2.5k Views
Top answer by
Hagen
Coach
#1 recommended coach | >95% success rate | most experience in consulting, interviewing, and coaching
64
6 Answers
2.5k Views
+3
Consulting
Best level to transit from consulting to private equity
on Feb 29, 2024
Global
5 Answers
2.6k Views
Top answer by
Marcus
Coach
BCG Senior Consultant; VP Strategy @ $400m e-commerce scale-up; exited founder
100
5 Answers
2.6k Views
+2
How likely are you to recommend us to a friend or fellow student?
0 = Not likely
10 = Very likely
You are a true consultant! Thank you for consulting us on how to make PrepLounge even better!