This seems to be about actual consumption that has not been adjusted for government subsidies. If country A subsidizes services such as education, childcare, and healthcare more than country B, household spending is going to be lower there. A better comparison would either ignore spending in commonly subsidized categories or include government subsidies in household spending.
A quick reality check: Norway would be one of the wealthiest US states, both by nominal figures and after adjusting for purchasing power. If your comparison says something else, you are probably doing something wrong.
Assume that providing a service costs $1000/person/year in countries A and B. In country A, the average individual pays $200/year for the service and their taxes are $800/year higher, which the government uses for subsidizing the service. In country B, the individual pays the entire $1000/year. As a consequence, household spending is $800/year higher in country B.
International comparisons are tricky, because each country does things in its own way. While there are some high-quality data sources for such comparisons, you will almost certainly interpret them wrong, unless you spend a lot of time thinking about their data definitions, methodologies, limitations, and so on.
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[ 3.4 ms ] story [ 20.4 ms ] threadNo one would willingly live in Mississippi over France or Italy.
https://en.wikipedia.org/wiki/Jordan_Lasker
> No one would willingly live in Mississippi over France or Italy.
Have you seen parts of Paris? Not all parts of Mississippi are bad.
A quick reality check: Norway would be one of the wealthiest US states, both by nominal figures and after adjusting for purchasing power. If your comparison says something else, you are probably doing something wrong.
So the point is even with govt subsidies and a generous oil industry, Norway ranks below all US states.
International comparisons are tricky, because each country does things in its own way. While there are some high-quality data sources for such comparisons, you will almost certainly interpret them wrong, unless you spend a lot of time thinking about their data definitions, methodologies, limitations, and so on.