Swiss Fertility and Socioeconomic Indicators (1888) Data

Standardized fertility measure and socio-economic indicators for each of 47 French-speaking provinces of Switzerland at about 1888.


(paraphrasing Mosteller and Tukey):

Switzerland, in 1888, was entering a period known as the demographic transition; i.e., its fertility was beginning to fall from the high level typical of underdeveloped countries.

The data collected are for 47 French-speaking “provinces” at about 1888.

Here, all variables are scaled to $[0, 100]$, where in the original, all but "Catholic" were scaled to $[0, 1]$.


Files for all 182 districts in 1888 and other years have been available at or

They state that variables Examination and Education are averages for 1887, 1888 and 1889.


A data frame with 47 observations on 6 variables, each of which is in percent, i.e., in $[0, 100]$.

[,1] Fertility
$Ig$, ‘common standardized fertility measure’ [,2]
Agriculture % of males involved in agriculture as occupation
[,3] Examination
% draftees receiving highest mark on army examination [,4]
Education % education beyond primary school for draftees.
[,5] Catholic
% ‘catholic’ (as opposed to ‘protestant’). [,1]
All variables but ‘Fertility’ give proportions of the population.


Project “16P5”, pages 549--551 in Mosteller, F. and Tukey, J. W. (1977) Data Analysis and Regression: A Second Course in Statistics. Addison-Wesley, Reading Mass. indicating their source as “Data used by permission of Franice van de Walle. Office of Population Research, Princeton University, 1976. Unpublished data assembled under NICHD contract number No 1-HD-O-2077.”


Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

  • swiss
library(datasets) require(stats); require(graphics) pairs(swiss, panel = panel.smooth, main = "swiss data", col = 3 + (swiss$Catholic > 50)) summary(lm(Fertility ~ . , data = swiss))
Documentation reproduced from package datasets, version 3.1.2, License: Part of R 3.1.2

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