Vahaduo calcs vol.2

[Ajeje Brazorf]

This is a logical split of Italians. Did you also make weighed averages, because for instance Piedmont Italians number 4.2 millions, while Swiss Italians are 700.000, so tehnically the Piedmont average should have a much higher weigh within North-Alpine average than Swiss Italians?

A large percentage of that population is made up of immigrants from southern Italy, other European and non-European countries.

[Jana]

It's fine, these are just proxies anyway. For really detailed breakdown there is smaller regions sheet.

[Ion Basescul]

You could update the Gagauz average for both sheets while we are at it. Not much has changed, I've just received one more sample.

Gagauz_Moldova,19.27,23.03,18.01,12.99,21.11,2.46, 0.70,0.41,0.88,0.37,0.49,0.22,0.06

I don't know if you want to do an average for the smaller regions sheet out of only 3 Bulgarians, but if you do here's the average:

Bulgarian_Moldova,22.16,20.14,18.01,13.21,20.12,3. 13,1.58,0.27,0.85,0.27,0.20,0.00,0.08

Another one I'd consider for the smaller regions are Romanians from Ukraine (Northern Bukovina). Average of only 3:

Romanian_Ukraine,25.37,33.29,12.72,10.48,12.73,1.6 3,0.47,0.89,1.07,0.61,0.28,0.26,0.20

[Jana]

I updated the Gagauz and agree Bulgarian_Moldova and Romanian_Ukraine can be added to smaller regions sheet.

[Jana]

For Creoda small regions sheet:

Swiss_German_North,41.81,20.86,17.80,8.11,9.32,0.81,0.25,0.00,0.21,0.00,0.68,0.11,0.02

These samples are all from northern part of Swiss German area so I'd keep regular Swiss_German average for now as well.

Edit: I can add myself, I also have some updates for German/Austrian averages

[Jana]

I updated:

Salzburg-Upper Austria
East Prussia Masuria
Farther Pomerania
Schleswig Holstein
Rhineland Palatinate

[Dunai]

Does French_South in K13 mean the average of Occitania, Aquitaine and Provence?

[Ion Basescul]

I updated the Gagauz and agree Bulgarian_Moldova and Romanian_Ukraine can be added to smaller regions sheet.

Let's also do these changes in the "Smaller regions" sheet:

• Please remove Romanian_Wallachia since Romanian_Muntenia is enough
• Remove Romanian_North-Moldavia
• Rename Romanian_South-Moldavia to Romanian_Moldavia_South
• Add these two coordinates that represent averages for Suceava-Botosani counties (n=72) and Iasi-Neamt respectively (n=67)

Romanian_Moldavia_North,25.79,32.07,14.53,8.69,13.44,1.39,0.78,0.52,1.48,0.53,0.44,0.21,0.13
Romanian_Moldavia_Central,24.03,29.33,15.97,9.67,15.00,1.98,0.89,0.59,1.18,0.59,0.50,0.15,0.12

[J. Ketch]

You could update the Gagauz average for both sheets while we are at it. Not much has changed, I've just received one more sample.

Gagauz_Moldova,19.27,23.03,18.01,12.99,21.11,2.46, 0.70,0.41,0.88,0.37,0.49,0.22,0.06

I don't know if you want to do an average for the smaller regions sheet out of only 3 Bulgarians, but if you do here's the average:

Bulgarian_Moldova,22.16,20.14,18.01,13.21,20.12,3. 13,1.58,0.27,0.85,0.27,0.20,0.00,0.08

Another one I'd consider for the smaller regions are Romanians from Ukraine (Northern Bukovina). Average of only 3:

Romanian_Ukraine,25.37,33.29,12.72,10.48,12.73,1.6 3,0.47,0.89,1.07,0.61,0.28,0.26,0.20

Let's also do these changes in the "Smaller regions" sheet:

• Please remove Romanian_Wallachia since Romanian_Muntenia is enough
• Remove Romanian_North-Moldavia
• Rename Romanian_South-Moldavia to Romanian_Moldavia_South
• Add these two coordinates that represent averages for Suceava-Botosani counties (n=72) and Iasi-Neamt respectively (n=67)

Romanian_Moldavia_North,25.79,32.07,14.53,8.69,13.44,1.39,0.78,0.52,1.48,0.53,0.44,0.21,0.13
Romanian_Moldavia_Central,24.03,29.33,15.97,9.67,15.00,1.98,0.89,0.59,1.18,0.59,0.50,0.15,0.12

Done.

Personally I think we should be aiming for averages of 8+ samples minimum.

[Leto]

Done.

Personally I think we should be aiming for averages of 8+ samples minimum.

For quite a few ethnic groups and regions even 5-7 samples is a decent number. You are interested almost entirely in Western Europe, as I have noticed. And luckily for you, that region has the most samples by and large. I mean you can find dozens of samples from Wales, Flanders or Alabama while much bigger countries outside said regions are sometimes severely underrepresented.