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 http://opr.princeton.edu/archive/eufert/switz.html or http://opr.princeton.edu/archive/pefp/switz.asp.
They state that variables
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 $[0, 100]$.
|$Ig$, common standardized fertility measure||[,2]|
|Agriculture||% of males involved in agriculture as occupation|
|% draftees receiving highest mark on army examination||[,4]|
|Education||% education beyond primary school for draftees.|
|% catholic (as opposed to protestant).||[,1]|
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 Unpublished data assembled under NICHD contract number No 1-HD-O-2077.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.
require(stats); require(graphics) pairs(swiss, panel = panel.smooth, main = "swiss data", col = 3 + (swiss$Catholic > 50)) summary(lm(Fertility ~ . , data = swiss))