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By the way, why haven't the Lithuanian pops by Piotr been added yet? A very solid academic dataset. And I'm sure he filtered out all the outliers and dubious samples.
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German and Austrian update is here!!
Please delete all German averages as well as Austrian and German general averages and replace them with these:
Code:Austrian,36.84,27.27,15.90,7.36,9.10,1.32,0.60,0.23,0.48,0.27,0.41,0.06,0.10 Austrian_Burgenland,38.13,26.01,13.17,6.50,12.79,0.87,0.36,0.27,0.62,0.24,0.71,0.00,0.32 Austrian_Carinthia,32.36,33.44,14.41,6.52,10.49,1.02,0.34,0.00,0.64,0.27,0.33,0.04,0.07 Austrian_Lower_Austria,37.42,24.75,17.87,8.14,7.73,1.585,0.97,0.24,0.425,0.225,0.64,0,0 Austrian_Styria,34.20,31.69,15.07,7.48,8.45,0.7 9,0.31,0.33,0.77,0.19,0.16,0.21,0.36 Austrian_Tyrol,36.88,20.87,18.12,8.21,11.75,1.88,0.20,0.34,0.72,0.52,0.33,0.00,0.07 Austrian_Salzburg-Upper_Austria,38.78,27.33,14.66,6.69,9.37,1.49,0.58,0.18,0.23,0.31,0.35,0.03,0.00 German,42.05,27.91,13.69,6.10,6.31,1.23,0.86,0.16,0.32,0.43,0.32,0.35,0.29 German_Baden-Württemberg,40.95,22.52,15.86,6.68,10.49,1.08,0.82,0.32,0.38,0.32,0.41,0.08,0.09 German_Brandenburg_Northwest,42.26,31.81,11.86,6.84,3.28,0.18,1.52,0.16,0.05,0.82,0.68,0.45,0.11 German_Brandenburg_Outlier(Beeskow),26.92,44.46,14.49,5.95,6.25,0,0,0.72,0,0.17,0.74,0,0.3 German_Bavaria_Oberpfalz,39.39,24.70,14.56,6.30,11.55,0.44,1.22,0.15,0.32,0.75,0.39,0.13,0.13 German_Bavaria_Proper,40.02,23.94,15.40,7.03,10.46,1.26,0.35,0.29,0.25,0.58,0.36,0.04,0.00 German_Bavarian_Swabia,34.71,26.3,19.15,7.19,11.37,0,0,0,0,0.37,0.4,0,0.46 German_County_Glatz,35.77,31.04,14.63,8.13,7.64,0.3,0,1.02,0,0.72,0,0.72,0 German_East_Prussia_Central,46.40,36.05,9.33,1.39,2.77,2.18,0,0.12,0.19,0.31,0.99,0.18,0.09 German_East_Prussia_Masuria,33.26,44.37,9.00,4.57,3.12,0.15,2.31,0.47,0.75,0.74,0.61,0.00,0.68 German_East_Prussia_Memelland,29.91,52.02,10.63,3.88,0,0,1.83,0,0.81,0.58,0,0,0.34 German_Farther_Pomerania,40.04,36.96,9.53,5.79,3.25,1.31,1.30,0.16,0.03,0.33,0.36,0.69,0.26 German_Frisian,55.45,25.92,9.33,2.93,1.79,1.02,2.22,0,0.33,0,1,0,0 German_Hamburg,50.83,28.92,8.41,3.93,4.04,1.33,1.32,0,0.62,0.15,0,0.45,0 German_Hither_Pomerania,44.4,31.31,9.62,7.56,4.12,0.7,0.43,0.31,0.88,0.2,0,0.48,0 German_Lower/Middle_Franconia,41.30,24.80,15.01,7.01,8.85,0.68,0.72,0.12,0.22,0.65,0.10,0.42,0.08 German_Lower_Saxony_North,49.34,27.83,10.89,5.58,2.87,0.29,1.79,0.52,0.16,0.12,0.52,0.08,0.00 German_Lower_Saxony_South,48.78,25.87,11.39,6.78,3.82,0.44,1.48,0.00,0.51,0.31,0.04,0.12,0.45 German_Lower_Silesia,34.34,36.33,12.87,6.99,6.65,0,0.6,0,0.31,0.85,0.34,0.47,0.23 German_North_Bohemia,38.27,31.61,13.93,5.63,7.42,0.38,0.90,0.53,0.10,0.41,0.50,0.00,0.31 German_North_Hesse,43.69,22.35,14.83,4.48,10.49,1.78,0,0.69,0,0.86,0.22,0,0.6 German_North_Moravia,40.94,27.21,13.27,7.36,7.57,1.49,1.04,0,0,0.48,0.19,0.46,0 German_North_Rhine,43.36,21.95,15.88,7.62,8.34,0.62,0.96,0.13,0.23,0.17,0.38,0.23,0.13 German_Rhineland-Palatinate,42.44,20.12,17.36,5.05,11.26,1.57,0.27,0.15,0.65,0.45,0.39,0.11,0.20 German_Rhineland-Palatinate_East_of_Rhine,46.37,21.92,13.75,6.97,7.95,2.21,0.46,0.00,0.00,0.03,0.00,0.20,0.15 German_Saarland,43.50,20.17,18.47,5.85,9.04,1.30,1.03,0.00,0.20,0.12,0.04,0.17,0.09 German_Saxony,38.88,30.83,13.16,6.57,7.10,1.36,0.27,0.02,0.31,0.40,0.29,0.61,0.21 German_Saxony-Anhalt_South,41.19,31.63,11.12,5.16,7.34,1.02,0.62,0.25,0.28,0.56,0.50,0.20,0.12 German_Schleswig-Holstein,50.35,26.87,11.48,4.44,3.57,0.78,0.52,0.27,0.18,0.83,0.39,0.09,0.24 German_South_Hesse,41.78,21.94,17.52,5.66,8.80,1.50,0.66,0.33,0.41,0.56,0.46,0.11,0.27 German_Thuringia_Central,38.63,30.19,13.73,4.49,9.55,0.38,1.70,0.00,0.25,0.47,0.75,0.00,0.00 German_Thuringia_East,37.78,32.62,11.52,6.80,7.19,1.13,0.84,0.24,0.64,0.67,0.47,0.00,0.07 German_West_Bohemia,38.06,27.32,15.52,7.55,9.66,0,0.17,0,0.4,0.58,0.74,0,0 German_West_Mecklenburg,45.13,33.44,9.22,6.21,3.28,0.16,0.49,0.62,0.34,0.34,0.33,0.43,0.00 German_Westphalia,48.90,25.72,11.45,6.87,3.44,0.81,1.08,0.20,0.26,0.57,0.25,0.06,0.39 German_West_Prussia,36.43,38.85,11.22,5.87,4.80,0.17,0.81,0.00,0.71,0.44,0.36,0.00,0.32 Upper_Silesia,33.01,43.21,9.27,6.4,5.21,0.26,0.67,0,1.04,0.31,0.58,0,0.06
Last edited by Jana; 01-15-2022 at 06:24 PM.
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Received: 52,629/1,011 Given: 43,539/788 |
No problem, ofc! For Germany and Austria we took 1939 census. Austria was calculated according to population percentage of each "state" excluding Vienna (too many foreigners and people from all over there) and excluding eg. Slovenian/Croatian/Hungarian minorities in Carinthia, Burgenland etc. For Voralberg as only state we lack samples from we used SW Germans (they are Allemanic speakers)
For Germany it was more complicated because of sheer size. We divided Germany into 4 genetic quadrants (including Sudeten Germans, Prussia etc), and selected one most representative average for each quadrant (in our estimation), and than we calculated how much percentage of total population each quadrant had. Berlin was included into NE Germany btw.
Than final average was weighted. We used: southern Lower Saxony average for NW quadrant, south Hesse for SW quadrant (which includes Bavaria btw), Saxony for SE quadrant and Farther Pomerania for NE quadrant.
Polish population in Prussia was excluded.
(without Austria)
Last edited by Jana; 01-15-2022 at 10:43 AM.
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Received: 52,629/1,011 Given: 43,539/788 |
Yes, your average was very good! Pretty better than old Austrian one which was academic.
As for sample size, it was 6 samples for Saxony, 3 for Lower Saxony south, 9 for south Hesse and for east Pomerania 4.
We could have used Westphalia for NW for example, because it has 9 samples and it's very populated region but opted for south of Lower Saxony because it's likely more representative for NW quadrant (Westphalia is on it's south), etc.
So we didn't necessary use selected averages with most samples but one that was kind of a mid point for each genetic quadrant.
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Received: 52,629/1,011 Given: 43,539/788 |
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