The most ultimate Hungarian K13 database thus far

After making a slight update to the Hungarian sample after a few months I wanted to try out K13 Updated again, but this time I omitted all the regional populations, and keep only the national average, except in those cases where there is no national average yet. In distances I will only post those under 10 and with such large population reference I chose 0.5x.

Target: Hungarian_Alfold
Distance: 0.6436% / 0.64356938 | ADC: 0.5x
49.6 Hungarian
25.2 Croat
24.6 Slovenian
0.6 Chuvash

Distance to: Hungarian_Alfold
1.48858994 Hungarian
1.75824153 Slovenian
2.38168008 Croat
5.48371262 Slovak
6.13996743 Bosniak
7.40875833 Czech
8.28759917 Serb
8.55384709 Moldovan
9.09072604 Austrian
9.41318225 East_German

Target: Hungarian_Budapest
Distance: 0.5313% / 0.53134927 | ADC: 0.5x
91.0 Hungarian
5.0 East_German
4.0 Austrian

Distance to: Hungarian_Budapest
1.09393784 Hungarian
2.54784483 Slovenian
4.28142500 Croat
5.64597034 Slovak
6.61181518 Czech
6.72015625 Austrian
7.21339033 East_German
7.81519034 Bosniak
9.66392777 Serb

Target: Hungarian_Northern
Distance: 1.1188% / 1.11884158 | ADC: 0.5x
63.4 Slovak
31.0 Hungarian
5.6 Czech

Distance to: Hungarian_Northern
2.25399908 Slovak
3.67153516 Slovenian
3.68114113 Czech
3.92784928 Hungarian
6.04310351 Croat
7.17069732 Sorbian
7.82656374 East_German
8.68563181 Austrian
9.54440674 Ukrainian
9.90809265 Bosniak

Target: Hungarian_Transdanubia
Distance: 0.6332% / 0.63317307 | ADC: 0.5x
82.6 Hungarian
17.4 Austrian

Distance to: Hungarian_Transdanubia
1.76139150 Hungarian
3.33172827 Slovenian
4.77730049 Croat
6.01995847 Austrian
6.22697577 Slovak
6.81282614 East_German
6.86541332 Czech
8.19404662 Bosniak
9.89893429 Serb

Target: Hungarian_Transylvania
Distance: 1.7699% / 1.76989172 | ADC: 0.5x
71.6 Hungarian
27.4 Montenegrin
0.6 Veneto
0.4 Crimean_Tatar

Distance to: Hungarian_Transylvania
4.19114543 Croat
4.44148624 Hungarian
4.89247381 Bosniak
5.64433335 Slovenian
5.85709826 Serb
6.56004573 Moldovan
8.60065114 Montenegrin
9.14686832 Romanian
9.57868467 Austrian
9.88747947 Slovak

Target: Hungarian_Szekely
Distance: 1.9705% / 1.97054638 | ADC: 0.5x
60.0 Hungarian
33.2 Montenegrin
6.0 Serb
0.8 Karakalpak

Distance to: Hungarian_Szekely
4.70165928 Bosniak
4.85921804 Croat
5.26276543 Serb
5.49800873 Hungarian
5.92166362 Moldovan
6.80973560 Slovenian
7.71431786 Montenegrin
8.15041717 Romanian
9.59414062 Macedonian


Target: Hungarian_Csango
Distance: 1.7616% / 1.76159382 | ADC: 0.5x
64.6 Bosniak
31.2 Hungarian
1.8 Kirgiz
1.2 French
1.2 Portuguese

Distance to: Hungarian_Csango
3.82497059 Bosniak
4.08957210 Croat
4.93146023 Serb
5.23718436 Hungarian
5.25519743 Moldovan
6.19407427 Slovenian
8.03031133 Montenegrin
8.23965412 Romanian
9.83840826 Macedonian

Slovenians are overall closest population to Hungarians. Post above got to same conclusion I did months ago with much fewer samples.

Quote:

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Originally Posted by Stearsolina

Slovenians are overall closest population to Hungarians. Post above got to same conclusion I did months ago with much fewer samples.

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Very true, and also Croatians are very close, the others, maybe except Slovaks, are somewhat distant to Hungarians.

Target: Hungarian
Distance: 1.3799% / 1.37987439 | ADC: 0.5x
65.0 Slovenian
23.8 Croat
10.4 Austrian
0.6 West_German
0.2 Altaian

Distance to: Hungarian
2.14624898 Slovenian
3.34154156 Croat
5.67710418 Slovak
6.94772625 Bosniak
7.03856519 Czech
7.67561072 Austrian
8.18562765 East_German
8.89328961 Serb
9.32467694 Moldovan

I am working currently on a pretty significant update to the various Hungarian averages, as in, I will add way more samples to them. So if anyone else would like to provide more quality results, please share here.

As I promised, I have finally managed to gather enough feedback to update pretty significantly the number of samples for the new Hungarian averages. I will write in brackets after each average, based on how many samples are they based on. The new difference is that the Hungarian national average I am basing it on a weighed aggregate, meaning, I am including all Hungarian regions (plus all Hungarian samples where I couldn't determine the region), except Székely and Csángó, and based on last official national censuses, each region weighs as many percentages as the number of declared ethnic Hungarians living there. Thus, after plenty of formulas and calculations, these are the new averages:

Hungarian,30.52,32.40,14.21,7.17,10.58,1.23,0.92,0 .51,1.19,0.56,0.36,0.19,0.16 (N=378)
Hungarian_Alföld,29.33,33.01,14.59,7.21,10.63,1.26 ,0.68,0.67,1.28,0.62,0.39,0.2,0.11 (N=73)
Hungarian_Budapest,31.23,32.45,14.11,7.29,9.79,1.3 7,0.91,0.59,1.06,0.51,0.3,0.22,0.16 (N=59)
Hungarian_Northern,30.35,35.36,13.29,6.2,10.12,0.7 5,1.05,0.5,1.16,0.51,0.38,0.15,0.17 (N=42)
Hungarian_Transdanubia,31.72,31.63,13.96,7.34,10.5 6,1.07,0.98,0.4,1.08,0.56,0.31,0.17,0.2 (N=71)
Hungarian_Transylvania,28.82,28.63,15.09,8.19,12.3 2,1.53,1.2,0.52,2.17,0.73,0.5,0.14,0.11 (N=20)
Csángó,27.24,29.39,15.24,7.75,12.54,1.61,1.36,1.45 ,2.06,0.79,0.37,0.09,0.13 (N=11)
Székely,28.1,28.52,15.06,8.2,13.03,1.29,0.95,0.88, 2.33,0.74,0.3,0.23,0.14 (N=40)

Quote:

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Originally Posted by Dunai

As I promised, I have finally managed to gather enough feedback to update pretty significantly the number of samples for the new Hungarian averages. I will write in brackets after each average, based on how many samples are they based on. The new difference is that the Hungarian national average I am basing it on a weighed aggregate, meaning, I am including all Hungarian regions (plus all Hungarian samples where I couldn't determine the region), except Székely and Csángó, and based on last official national censuses, each region weighs as many percentages as the number of declared ethnic Hungarians living there. Thus, after plenty of formulas and calculations, these are the new averages:

Hungarian,30.52,32.40,14.21,7.17,10.58,1.23,0.92,0 .51,1.19,0.56,0.36,0.19,0.16 (N=378)
Hungarian_Alföld,29.33,33.01,14.59,7.21,10.63,1.26 ,0.68,0.67,1.28,0.62,0.39,0.2,0.11 (N=73)
Hungarian_Budapest,31.23,32.45,14.11,7.29,9.79,1.3 7,0.91,0.59,1.06,0.51,0.3,0.22,0.16 (N=59)
Hungarian_Northern,30.35,35.36,13.29,6.2,10.12,0.7 5,1.05,0.5,1.16,0.51,0.38,0.15,0.17 (N=42)
Hungarian_Transdanubia,31.72,31.63,13.96,7.34,10.5 6,1.07,0.98,0.4,1.08,0.56,0.31,0.17,0.2 (N=71)
Hungarian_Transylvania,28.82,28.63,15.09,8.19,12.3 2,1.53,1.2,0.52,2.17,0.73,0.5,0.14,0.11 (N=20)
Csángó,27.24,29.39,15.24,7.75,12.54,1.61,1.36,1.45 ,2.06,0.79,0.37,0.09,0.13 (N=11)
Székely,28.1,28.52,15.06,8.2,13.03,1.29,0.95,0.88, 2.33,0.74,0.3,0.23,0.14 (N=40)

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Doesn't make sense not to include Csango and Szekely as they are ethnic Hungarians. I would make one weighted average including all Hungarians and other for Hungarians from Hungary.

I'm not trolling but are there Hungarian Roma kits out there? I've seen maybe one only. Would like to see if they score differently from those to the South of them.

Quote:

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Originally Posted by Stearsolina

Doesn't make sense not to include Csango and Szekely as they are ethnic Hungarians. I would make one weighted average including all Hungarians and other for Hungarians from Hungary.

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People in regions from Hungary overlap with Hungarians living in the neighboring regions from the neighboring countries, since based on my numerous email exchanges I was confirmed that many great grandparents were born in nearby areas, which are currently outside of Hungary. The Székelys and Csángós are the only Hungarian speakers who identify differently from rest of Hungarians, that's why I have them separately.

With my new model

Code:

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Slavic,30.33,47.37,11.04,4.58,2.63,0.68,0.49,0.00,1.56,0.89,0.00,0.42,0.00
Slavic,27.47,45.26,8.62,7.09,7.54,0,1.5,0.79,1.13,0.21,0.21,0.16,0
Slavic,28.29,43.29,9.89,5.02,8.09,0,3.75,0,0.44,0.1,0,1.12,0
Slavic,29.69,48.84,9.53,5.54,1.59,0,1.3,0,1.34,0,0.13,1.42,0.62
Slavic,28.62,50.38,7.63,3.49,4.19,0,2.08,0,0,1.86,0.48,1.27,0
Slavic,34.33,39.57,9.56,6.08,4.86,0,0,1.29,0.94,1.44,0.09,0,1.85
Slavic,25.59,45.53,14.97,2.7,4.74,0.3,0.73,2.49,0,0.34,1.21,1.4,0
Germanic,53.01,27.98,7.21,5.65,0.79,1.05,2.78,0.00,0.00,0.00,0.99,0.55,0.00
Germanic,47.25,26.28,10.75,7.04,5.01,0.00,1.09,0.00,0.00,0.90,1.69,0.00,0.00
Germanic,51.91,27.94,8.54,6.68,0.00,1.86,0.46,0.00,0.00,1.60,0.70,0.30,0.00
Germanic,48.77,31.63,9.58,6.50,0.00,0.00,1.35,0.00,0.85,0.66,0.45,0.00,0.21
Germanic,47.64,28.46,10.25,7.39,1.26,0.36,1.80,0.00,0.00,0.17,2.66,0.00,0.00
Germanic,44.98,24.15,12.94,4.79,7.58,1.68,1.28,0.21,0.03,1.36,0.99,0.00,0.00
Germanic,45.82,23.76,11.98,5.35,9.95,0.37,0.00,0.00,0.00,1.40,0.65,0.71,0.00
Germanic,50.80,27.85,9.46,7.27,0.17,0.52,2.02,0.00,1.24,0.00,0.66,0.00,0.00
Germanic,50.62,30.54,10.69,2.85,0.00,0.00,0.00,0.00,2.29,0.38,1.12,0.00,1.50
Germanic,48.86,27.94,10.52,5.59,1.58,1.62,1.24,0.00,0.73,1.09,0.59,0.00,0.24
Germanic,51.25,28.48,10.25,3.67,0.90,0.62,4.07,0.00,0.40,0.35,0.00,0.00,0.00
Germanic,50.82,27.96,8.13,4.15,4.48,1.91,0.67,0.31,0.00,1.29,0.29,0.00,0.00
Germanic,51.40,26.75,12.42,4.27,1.30,1.75,0.00,0.85,0.83,0.00,0.00,0.44,0.00
Germanic,48.87,28.93,9.99,6.36,2.26,0.00,0.00,0.50,1.89,0.00,0.45,0.76,0.00
Germanic,49.96,27.68,9.25,8.59,0.00,1.17,0.00,0.00,1.12,0.35,0.83,0.30,0.75
Greco-Roman,27.23,12.70,19.97,9.12,24.57,4.66,0.00,0.87,0.00,0.17,0.22,0.00,0.48
Greco-Roman,24.86,12.81,26.77,10.30,20.31,3.25,0.00,0.00,0.00,0.00,0.04,1.66,0.00
Greco-Roman,27.55,12.54,21.21,10.55,21.86,4.50,0.32,0.40,0.16,0.01,0.48,0.00,0.41
Greco-Roman,27.19,11.40,22.23,11.36,21.87,1.10,2.00,0.00,1.35,0.59,0.91,0.00,0.00
Greco-Roman,20.96,7.80,22.42,12.21,31.83,3.56,0.00,0.35,0.00,0.25,0.00,0.00,0.63
Greco-Roman,31.64,10.34,24.24,8.69,21.60,1.59,0.35,0.00,0.00,0.73,0.82,0.00,0.00
Greco-Roman,11.26,2.52,25.12,19.43,32.95,5.15,1.74,0.00,0.00,0.00,1.28,0.41,0.13
Greco-Roman,13.96,3.06,21.79,20.09,31.88,8.58,0.00,0.30,0.00,0.00,0.33,0.00,0.00
Greco-Roman,30.28,11.03,22.92,11.27,18.52,2.83,0.00,0.00,0.00,1.93,0.00,0.00,1.22
Greco-Roman,17.03,1.66,19.44,20.33,31.48,6.62,0.00,1.01,0.00,0.82,0.00,0.96,0.66
Greco-Roman,19.34,7.54,23.11,14.85,27.41,5.41,0.00,0.71,0.00,0.12,0.11,1.42,0.00
Greco-Roman,11.90,4.81,20.76,18.38,35.87,6.57,0.05,0.00,0.00,0.00,0.38,1.28,0.00
Greco-Roman,26.09,8.87,21.51,14.43,23.33,4.46,0.00,0.00,0.00,0.00,0.43,0.27,0.61
Turkic,16.40,19.36,4.93,10.03,4.18,0.00,2.99,19.60,18.26,2.53,0.94,0.00,0.77
Turkic,7.18,16.09,0.72,12.44,0.00,0.00,5.24,14.38,40.88,2.79,0.28,0.00,0.00
Turkic,9.14,9.82,0.00,20.60,3.24,3.16,7.31,18.95,24.40,1.38,0.44,0.00,1.55
Turkic,9.99,13.62,0.65,17.63,14.60,5.88,9.22,14.06,11.26,0.09,0.55,0.90,1.57
Turkic,14.61,21.44,2.01,17.50,0.00,1.10,5.31,8.40,25.72,2.26,1.14,0.50,0.00

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Target: Székely
Distance: 0.0764% / 0.07643307
47.4 Slavic
41.0 Greco-Roman
7.2 Germanic
4.4 Turkic

Target: Csángó
Distance: 0.3292% / 0.32917975
50.4 Slavic
40.2 Greco-Roman
5.8 Turkic
3.6 Germanic

Target: Hungarian_Transylvania
Distance: 0.1320% / 0.13195354
45.2 Slavic
42.0 Greco-Roman
9.2 Germanic
3.6 Turkic

Target: Hungarian_Transdanubia
Distance: 0.0251% / 0.02509347
51.0 Slavic
30.2 Greco-Roman
18.2 Germanic
0.6 Turkic

Target: Hungarian_Northern
Distance: 0.3241% / 0.32406589
65.0 Slavic
23.0 Greco-Roman
11.4 Germanic
0.6 Turkic

Target: Hungarian_Budapest
Distance: 0.0709% / 0.07087725
53.8 Slavic
29.2 Greco-Roman
16.2 Germanic
0.8 Turkic

Target: Hungarian_Alföld
Distance: 0.1186% / 0.11861279
60.6 Slavic
31.0 Greco-Roman
7.2 Germanic
1.2 Turkic

Quote:

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Originally Posted by andre

With my new model

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Mine compared to Hungarian average:
Target: Dunai
Distance: 0.3821% / 0.38213549
36.6 Slavic
35.2 Germanic
23.8 Greco-Roman
4.4 Turkic

Target: Hungarian
Distance: 0.0594% / 0.05940071
54.4 Slavic
30.6 Greco-Roman
14.2 Germanic
0.8 Turkic