Benedikt Groß profile image

Works antidisciplinarily, is a speculative and a computational designer.
He currently lives in Ravensburg / Stuttgart. – The World Population Project

tagged as: aims to make demography – the study of human populations – accessible to a wider audience. We believe that demographic data can play an important role in understanding the social and economic developments of our time. Our hope is that people from all walks of life, in all ages and across all countries will explore a new perspective of their own life and find their own place in the world of today and tomorrow.

Credits has been developed by Wolfgang Fengler, together with K.C. Samir and Benedikt Groß. The core team also includes The Development Data Group of the World Bank and 47 Nord. The project is supported by the World Bank, the International Institute for Applied Systems Analysis (IIASA), and generous volunteer contributions by Tamás KrisztinJoey Lee, and others. The team also appreciates the partnership with the United Nations Population Division, which is providing the estimates and projections, on which our model is based on.

What’s my place in the world population?

#Home – Enter date of birth, country of birth and sex at birth to start the “Journey of your life in numbers and dates”

#Summary – Lets you determine your relative age. Your relative age is your age in comparison to everyone else in the world, or everyone else in your home country. Who is younger and older than me?

#Story – Journey of your life in numbers and dates. When will you be the Xth Billion person on the planet and how will the population distribution look at that moment in time?

#Birthdays – With how many people do you share a birthday with?


How long will I live?

#Expectancy – Compare the life expectancy from a different country and a different time. How long could you expect to live?

#Death – Mortality Distribution. How long will I live?

#Death – Chances of Dying. How long will I live?



All of the data you see on is from an open API which is nicely documented with details of methods and data sources used here:

Further Reading/Links