How did census counts help lead to the development of statistics?
Swiss commemorative stamp of mathematician Jakob Bernoulli, issued 1994, displaying the formula and the graph for the law of large numbers, first proved by Bernoulli in 1713.
Census counts were foundational to the development of statistics by providing the systematic data necessary to move from conjecture to empirical analysis of human populations.
In the 17th century, John Graunt pioneered demography by analyzing "bills of mortality" (parish death records). By identifying regularities in these numbers, he constructed the first life table, which allowed for predictions about survivorship and life expectancy.12
By the 18th and 19th centuries, the need for representative government, military recruitment, and social management drove nations to conduct regular, systematic censuses. This proliferation of data enabled mathematicians like Adolphe Quetelet to argue that mathematical probability was essential for social science. Quetelet observed that social numbers—such as crime rates—remained remarkably constant year to year, leading him to propose the existence of "statistical laws" underlying social disorder.3
Ultimately, the transition from manual tabulations to computerized analysis further transformed the field, allowing for the complex processing of demographic and economic data that defines modern statistical practice.4