Is there a relationship between the size of a country’s M*slim population and the amount it spends on welfare?

Yesterday I announced I would do something exceedingly politically incorrect. I would look at the size of the main European countries’ M*slim populations and the amount of their welfare spending. Of course, there are many factors which influence welfare spending – the degree of industrialisation, the demographic profile, each country’s economic situation�and government policies. So it’s difficult to identify just one single cause of the level of welfare spending.

But we do�know that in Britain, according to official figures from the Office for National Statistics, that people from M*slim communities are far less likely to be in work and less likely to want to work�than people from other communities (click on charts to see more clearly)

The most egregious example being our wonderful Somali community where 65% of men and around 90% of women are not in work. I’m not sure why so many M*slim men are not working, but obviously there are cultural reasons why most M*slim women don’t work.

However, it could be interesting if there was some kind of mathematical correlation between the size of a country’s M*slim population and the size of its welfare spending. In the table below, I list on the left 14 countries along with the percentage of their population that are M*slims in descending order. The figures come from the Guardian so they are politically correct. On the right I list the same countries in descending order based on the percentage of their GDP spent on welfare (figures from the OECD).

So, what do we see? Well Denmark and Sweden have average M*slim populations but are high on social spending (as is Finland) due to the Nordic countries’�tradition of making welfare a priority. And Greece is in the middle of the table regarding M*slim population, but low on welfare spending as it is totally bankrupt. Holland seems to be a bit of an exception – maybe that’s because the Dutch have been more successful at integrating their immigrant communities. Otherwise, it could possibly be argued that there is a mathematical (though not necessarily causal) correlation between the size of a country’s M*slim population and the size of its spending on welfare. Or perhaps not. I leave it to my highly intelligent readers to decide.

Although this is hardly a statistically-sound study, it’s the kind of analysis that no journalist could ever conduct as they’d be hounded out of their job for racism. Because in today’s politically-correct Britain, even using government statistics can be considered a crime and racist if they don’t show what the politically-correct opinion leaders want them to show. Hey ho, that’s the way it goes.

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