Guess the map 13: Mercator maps are cool, actually

[Kyriakos]

Social security or work-related regulations (compensation etc)?

 

[Samson]

Social security or work-related regulations (compensation etc)?

No. The first point is closer than the second.

 

[Kyriakos]

Pregnancy leave-related?

 

[Samson]

Pregnancy leave-related?

No. It really is a big number, it defines a country governance priorities.

 

[EnglishEdward]

Women's pay relative to Men's pay?

 

[Samson]

Women's pay relative to Men's pay?

No, not really like that.

 

[The_J]

Are the numbers you posted on the last page absolute or relative numbers?

 

[Samson]

Are the numbers you posted on the last page absolute or relative numbers?

Sorry, I tried to make it clear, but obviously did not. The numbers are rank, so I only have values for 76 countries, Denmark has the highest value, Democratic Republic of Congo the lowest and the UK the 52nd highest. Here are the numbers normalised, and the map again:

world_stats$normalised_value <- (world_stats$value - min(world_stats$value)) / (max(world_stats$value) - min(world_stats$value))

> head(world_stats[,c("name","rank","normalised_value")], n = 10)
           name rank normalised_value
60      Denmark   76        1.0000000
205      Sweden   75        0.9811848
72       France   74        0.9548927
19      Belgium   73        0.9407347
69      Finland   72        0.9314571
16      Austria   71        0.9152279
106       Italy   70        0.8607821
162      Norway   69        0.8519707
39  Switzerland   68        0.8350484
161 Netherlands   67        0.8160142
> tail(world_stats[,c("name","rank","normalised_value")], n = 10)
               name rank normalised_value
87        Guatemala   10       0.13729999
156           Niger    9       0.13680703
61   Dominican Rep.    8       0.13679927
139          Mexico    7       0.11291793
184          Rwanda    6       0.11075694
43         Cameroon    5       0.10216092
206       Swaziland    4       0.09324428
96        Indonesia    3       0.07058298
223          Uganda    2       0.06516544
44  Dem. Rep. Congo    1       0.00000000
> world_stats[grepl("Unit", world_stats$name),c("name","rank","normalised_value")]
              name rank normalised_value
226  United States   57        0.6888439
76  United Kingdom   52        0.6349033

 

[EnglishEdward]

Distribution of earnings?

 

[Samson]

Distribution of earnings?

Not in the way you mean it, but a slightly odd interpretation of the words would be very close, or even exact.

 

[uppi]

Income by some quantile, like median income or income of 25% quantile.

 

[Samson]

Income by some quantile, like median income or income of 25% quantile.

No, a very different interpretation of "Distribution of earnings".

 

[EnglishEdward]

Redistribution of earnings by taxation and benefit payments.

 

[Samson]

Redistribution of earnings by taxation and benefit payments.

This is getting closer to the interpretation, but not there.

 

[uppi]

Average payout (benefits, employee wages, etc.) per person by the government?

 

[Samson]

Average payout (benefits, employee wages, etc.) per person by the government?

No, but similarly close. A much bigger / significant measure of the national priorities than this.

I have added together 2 values that are individually significant, and I think the sum is more representative that either one alone.

 

[EnglishEdward]

Benefits + Education

 

[Samson]

Benefits + Education

No, but you are thinking on the right lines. Think bigger.

 

[EnglishEdward]

Investment (public and private).

 

[Samson]

Investment (public and private).

No, but much closer.