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Austria: haplogroups

FamilyTreeDNA has 1,086 kits with a Y-DNA result and 857 kits with mtDNA (mitochondrial DNA). On the paternal line the most common are R1b-L51 — 21%, R1a-M198 — 15% and E1b1b-M35 — 11%. On the maternal line the most common are H — 38%, U — 14% and K1 — 11%. YFull has 88 samples for Y from the same area, and its mix of major branches is broadly the same. The largest gap is I1: 8% on FTDNA against 1% on YFull.

Compare with…
24.2
Y-DNA · kits per 100,000 men
rank 44 of 123 among countries. About 4.5 million men (UN, 2023). A kit's country is the ancestor's homeland, not where the tester lives
9.4
mtDNA · kits per 100,000 people
rank 25 of 93 among countries. About 9.1 million people (UN, 2023)

Paternal line · Y-DNA

1,086 kits · 30 branches
Main branches of the Y tree. Each branch counts every kit in it and in its sub-branches; sub-branches are indented. Age is how many years ago the branch's common ancestor lived (TMRCA).
461 · 42.4% 28k years
289 · 26.6% 6,500 years
252 · 23.2% 6,400 years
224 · 20.6% 6,100 years
115 · 10.6% 4,900 years
63 · 5.8% 4,700 years
92 · 8.5% 5,000 years
45 · 4.1% 4,500 years
166 · 15.3% 8,500 years
107 · 9.9% 4,800 years
58 · 5.3% 4,700 years
48 · 4.4% 4,400 years
44 · 4.1% 4,300 years
188 · 17.3% 35k years
99 · 9.1% 25k years
59 · 5.4% 20k years
46 · 4.2% 3,300 years
85 · 7.8% 20k years
56 · 5.2% 4,500 years
174 · 16.0% 30k years
110 · 10.1% 28k years
71 · 6.5% 20k years
58 · 5.3% 19k years
141 · 13.0% 52k years
122 · 11.2% 25k years
67 · 6.2% 15k years
52 · 4.8% 5,200 years
46 · 4.2% 20k years
76 · 7.0% 28k years
52 · 4.8% 19k years
other
46 · 4.2%

Among the rest: Q 15, L 10, T 10, N 9, C 1, K 1.

Maternal line · mtDNA

857 kits · 30 branches
Main mt-tree branches grouped by letter, sub-branches indented. Each branch counts every kit in it and in its sub-branches. Age is how many years ago the branch's common foremother lived, from FTDNA data where available.
323 · 37.7% 11k years
101 · 11.8% 7,900 years
24 · 2.8%
36 · 4.2% 8,400 years
21 · 2.5% 7,700 years
21 · 2.5% 6,700 years
119 · 13.9% 51k years
U2'3'4'7'8'9
62 · 7.2% 50k years
32 · 3.7% 22k years
U5a'b
53 · 6.2% 30k years
33 · 3.9% 21k years
23 · 2.7% 13k years
20 · 2.3% 25k years
110 · 12.8% 29k years
91 · 10.6% 23k years
74 · 8.6% 11k years
51 · 6.0% 11k years
48 · 5.6% 7,100 years
42 · 4.9% 2,800 years
90 · 10.5% 20k years
68 · 7.9% 15k years
38 · 4.4% 8,500 years
19 · 2.2% 13k years
81 · 9.5% 35k years
72 · 8.4% 28k years
62 · 7.2% 13k years
19 · 2.2% 6,600 years
30 · 3.5% 13k years
27 · 3.2% 7,500 years
18 · 2.1% 12k years
other
59 · 6.9%

Among the rest: N 17, I 14, X 12, L 5, D 4, A 3, C 2, M 1, R 1.

Migration paths of the characteristic branches #

Paths of the region's main characteristic branches, as modelled by FamilyTreeDNA Discover, on one calendar clock: in each year a branch stands where its ancestral line was. Grey is a stretch of path shared by several branches; the large marker is the branch itself. Above the map you can pick the paternal line (Y-DNA) or the maternal one (mtDNA).

Show the mapHide the map The map unfolds by itself as you scroll down to it.

Loading the map…

The time scale is logarithmic: the closer to the present, the longer a year takes.

Austria: Y-DNA #

Distinctive branches

Branches found here far more often than worldwide: their share is more than 3× the world share. The multiplier is in brackets. Branches of at least 10 kits are included.

  • I-Y3548: 36 kits · 3.3% (95% confidence interval: 2–5%) (×5.9) 2,300 years
  • I-S20602: 44 kits · 4.1% (95% confidence interval: 3–5%) (×4.2) 2,500 years
  • R-L260: 24 kits · 2.2% (95% confidence interval: 1–3%) (×3.7) 2,800 years
  • E-S2979: 19 kits · 1.7% (95% confidence interval: 1–3%) (×3.5) 3,700 years

Most similar countries

Countries whose mix of major branches looks most like this one. The number is similarity: 100% is the same mix, lower means less in common. Computed only for countries with 100+ kits.

3–27%28–36%37–48%49–63%64–89%Austriaunder 100 kits
All 112 countries and regions by similarity
  1. Hungary 89%
  2. Germany 84%
  3. Poland 84%
  4. Czech Republic 83%
  5. Romania 83%
  6. Ukraine 81%
  7. Italy 80%
  8. Slovakia 79%
  9. Switzerland 76%
  10. Greece 76%
  11. Belarus 75%
  12. Russia 73%
  13. Lithuania 72%
  14. Bulgaria 70%
  15. Netherlands 70%
  16. France 70%
  17. Moldova 67%
  18. Belgium 66%
  19. Slovenia 66%
  20. England 65%
  21. Latvia 65%
  22. United Kingdom 64%
  23. Spain 63%
  24. Portugal 63%
  25. Croatia 62%
  26. Denmark 62%
  27. Serbia 60%
  28. United States 59%
  29. Turkey 59%
  30. Brazil 58%
  31. Macedonia 58%
  32. Canada 58%
  33. Luxembourg 57%
  34. Wales 54%
  35. Israel 53%
  36. Lebanon 53%
  37. Scotland 51%
  38. Italy (Sicily) 51%
  39. Iran 51%
  40. Bosnia and Herzegovina 50%
  41. Armenia 50%
  42. Albania 50%
  43. Mexico 49%
  44. Australia 49%
  45. Azerbaijan 48%
  46. Syria 48%
  47. Puerto Rico 47%
  48. United States (Native American) 47%
  49. Norway 46%
  50. Montenegro 46%
  51. Sweden 46%
  52. Iraq 46%
  53. Georgia 44%
  54. Cuba 44%
  55. Ireland 44%
  56. Colombia 43%
  57. Egypt 43%
  58. South Africa 43%
  59. Northern Ireland 41%
  60. Tatarstan 40%
  61. Palestine 39%
  62. Bahrain 39%
  63. England (Cornish) 38%
  64. Argentina 38%
  65. Estonia 37%
  66. Chile 37%
  67. Uzbekistan 37%
  68. Tunisia 36%
  69. Mordovia 36%
  70. Afghanistan 35%
  71. Bashkortostan 35%
  72. United Arab Emirates 35%
  73. Jordan 35%
  74. Qatar 35%
  75. Dagestan 35%
  76. Kuwait 34%
  77. Adygea 34%
  78. Tajikistan 34%
  79. Morocco 34%
  80. Dominican Republic 33%
  81. Algeria 33%
  82. Iceland 33%
  83. Kazakhstan 33%
  84. Saudi Arabia 33%
  85. New Zealand 32%
  86. Pakistan 31%
  87. Jamaica 31%
  88. India 31%
  89. Chuvashia 30%
  90. Peru 27%
  91. Yemen 27%
  92. Oman 25%
  93. Libya 25%
  94. Sudan 23%
  95. Finland 23%
  96. Chechnya 23%
  97. Sri Lanka 21%
  98. Isle of Man 17%
  99. Ingushetia 14%
  100. Karelia 13%
  101. Indonesia 12%
  102. Orstkhoy (Aosta Valley in FTDNA) 11%
  103. Somalia 11%
  104. China 9%
  105. Mongolia 9%
  106. Philippines 8%
  107. Nigeria 6%
  108. Cameroon 6%
  109. South Korea 4%
  110. Ghana 4%
  111. Japan 4%
  112. Vietnam 3%

Austria: mtDNA #

Distinctive branches

Branches found here far more often than worldwide: their share is more than 3× the world share. The multiplier is in brackets. Branches of at least 10 kits are included.

  • H5: 11 kits · 1.3% (95% confidence interval: 1–2%) (×3.6)

Most similar countries

Countries whose mix of major branches looks most like this one. The number is similarity: 100% is the same mix, lower means less in common. Computed only for countries with 100+ kits.

0–33%34–54%55–73%74–81%82–89%Austriaunder 100 kits
All 71 countries and regions by similarity
  1. Poland 89%
  2. Hungary 88%
  3. Germany 88%
  4. Ukraine 87%
  5. Russia 86%
  6. Czech Republic 85%
  7. England 84%
  8. Slovakia 83%
  9. Sweden 83%
  10. United Kingdom 83%
  11. Switzerland 83%
  12. France 82%
  13. United States 82%
  14. Netherlands 81%
  15. Romania 81%
  16. Lithuania 81%
  17. Scotland 81%
  18. Belgium 80%
  19. Ireland 80%
  20. Denmark 80%
  21. Italy 79%
  22. Norway 79%
  23. Wales 79%
  24. Belarus 79%
  25. Canada 77%
  26. Slovenia 75%
  27. Northern Ireland 74%
  28. Latvia 73%
  29. Croatia 73%
  30. Estonia 72%
  31. Portugal 71%
  32. Bulgaria 71%
  33. Australia 70%
  34. Greece 70%
  35. Serbia 70%
  36. Finland 69%
  37. Bosnia and Herzegovina 66%
  38. Moldova 66%
  39. Spain 65%
  40. United States (Native American) 62%
  41. Turkey 61%
  42. Chechnya 56%
  43. Armenia 54%
  44. Algeria 52%
  45. Syria 52%
  46. Israel 50%
  47. Lebanon 48%
  48. Morocco 43%
  49. New Zealand 43%
  50. Iraq 42%
  51. Iran 40%
  52. Egypt 39%
  53. South Africa 37%
  54. Saudi Arabia 36%
  55. Brazil 36%
  56. Cuba 36%
  57. United Arab Emirates 33%
  58. Kuwait 30%
  59. Argentina 24%
  60. Mexico 22%
  61. Dominican Republic 21%
  62. India 20%
  63. Puerto Rico 17%
  64. Canada (First Nations) 13%
  65. China 8%
  66. Jamaica 8%
  67. Chile 7%
  68. Colombia 6%
  69. Japan 4%
  70. South Korea 2%
  71. Philippines 0%
YFull

The same country on YFull #

The same country at the second company, YFull. Its samples are placed on the FTDNA tree by shared mutations, so the branches are comparable. FTDNA share on the left, YFull on the right, then the difference in percentage points. Republics and other sub-regions are taken out of the country, as at FTDNA. Starred branches are nearly empty at YFull: every test there is whole-genome and reaches the fine branches. Only YFull customers (YF number) are counted, no ancient DNA. YFull data of 2026-11-02. The tree shows only its top three levels.

Y-DNA

1,086
FTDNA
kits
88
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
R R-M207
42.4% · 43.2%+0.7
R1b-M269 R-M269
26.6% · 28.4%+1.8
L23 R-L23
23.2% · 28.4%+5.2
R1a-M198 R-M198
15.3% · 14.8%−0.5
Z282 R-Z282
9.9% · 13.6%+3.8
I I-L758
17.3% · 11.4%−5.9
I2 I-P215
9.1% · 10.2%+1.1
I2a I-P37
5.4% · 8.0%+2.5
I1 I-M253
7.8% · 1.1%−6.7
DF29 I-DF29
5.2% · 1.1%−4
J J-M304
16.0% · 14.8%−1.2
J2 J-M172
10.1% · 12.5%+2.4
J2a J-M410
6.5% · 10.2%+3.7
J1 J-M267
5.3% · 2.3%−3.1
E E-M96
13.0% · 12.5%−0.5
E1b1b-M35 E-M35
11.2% · 12.5%+1.3
6.2% · 4.5%−1.6
E-Z830 E-CTS10298
4.2% · 8.0%+3.7
G G-M201
7.0% · 10.2%+3.2
G2a G-P15
4.8% · 6.8%+2

mtDNA

857
FTDNA
kits
49
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
37.7% · 32.7%−5
11.8% · 12.2%+0.5
2.8% · 0.0%−2.8
4.2% · 4.1%−0.1
2.5% · 2.0%−0.4
2.5% · 2.0%−0.4
13.9% · 20.4%+6.5
U2'3'4'7'8'9
7.2% · 10.2%+3
3.7% · 4.1%+0.3
U5a'b
6.2% · 10.2%+4
3.9% · 2.0%−1.8
2.3% · 8.2%+5.8
12.8% · 4.1%−8.8
10.6% · 4.1%−6.5
8.6% · 4.1%−4.6
10.5% · 12.2%+1.7
7.9% · 6.1%−1.8
4.4% · 2.0%−2.4
2.2% · 4.1%+1.9
9.5% · 24.5%+15
8.4% · 20.4%+12
7.2% · 18.4%+11.1
3.5% · 0.0%−3.5
3.2% · 4.1%+0.9
2.1% · 0.0%−2.1

The same country on the project maps

In the FTDNA geographic projects a member puts the place of their paternal or maternal ancestor on the map. Here those points are set against the public tree: solid bar the tree, hatched bar the points on the maps, copy of 2026-10-20. A person in several projects counts once. Branches as in the tree above: each counts every kit in it and in its sub-branches.

Y-DNA FTDNA 1,086 · Projects 221

FTDNAProjects
FTDNA · Projects · Δ
R R-M207
42.4% · 44.8%+2.3
R1b-M269 R-M269
26.6% · 31.7%+5.1
L23 R-L23
23.2% · 21.3%−1.9
L51 R-L51
20.6% · 17.6%−3
P312 R-P312
10.6% · 9.0%−1.5
U106 R-U106
8.5% · 7.2%−1.2
R1a-M198 R-M198
15.3% · 13.1%−2.2
Z282 R-Z282
9.9% · 6.8%−3.1
I I-L758
17.3% · 19.0%+1.7
I2 I-P215
9.1% · 11.3%+2.2
J J-M304
16.0% · 11.3%−4.7
J2 J-M172
10.1% · 10.9%+0.7
E E-M96
13.0% · 14.9%+1.9
E1b1b-M35 E-M35
11.2% · 13.6%+2.3

mtDNA FTDNA 857 · Projects 149

FTDNAProjects
FTDNA · Projects · Δ
37.7% · 34.9%−2.8
11.8% · 10.7%−1
13.9% · 17.4%+3.6
U2'3'4'7'8'9
7.2% · 10.7%+3.5
U5a'b
6.2% · 5.4%−0.8
12.8% · 10.1%−2.8
10.6% · 4.0%−6.6
8.6% · 4.0%−4.6
6.0% · 3.4%−2.6
10.5% · 9.4%−1.1
7.9% · 7.4%−0.6
9.5% · 11.4%+2
8.4% · 8.7%+0.3
7.2% · 7.4%+0.1
250
Y-DNA · People on the map
221 of them have a branch of the tree; relatives with one ancestor at one place count as one, 249 such votes
66%
Y-DNA · SNP-confirmed
that many have the branch confirmed by an SNP test, the rest predicted from STRs
149
mtDNA · People on the map
149 of them have a branch of the tree; relatives with one ancestor at one place count as one, 149 such votes
85%
agreement with YFull · Y
how closely the Y tree branches match between FTDNA and YFull, each branch counted without its sub-branches. 100% is identical, below 80% is visibly different.
I-M253 −6.7
gap to YFull · Y
the Y branch whose share differs most between the two companies: FTDNA 7.8%, YFull 1.1%
11%
Y-DNA · on leaves
share of kits that reached the finest branch of the tree. The rest stopped at a broad branch: their test was not detailed enough.
20%
Big Y
rough share of kits with a Big Y test, a full read of the Y chromosome. It is estimated from the branches where the region's kits sit, so it is an estimate, not a count.
44%
mtDNA · on leaves
share of kits that reached the finest branch of the tree. The rest stopped at a broad branch: their test was not detailed enough.
0.79
mt to Y
mtDNA kits per one Y-DNA kit. Below 0.3 means the country tests almost only the paternal line.

New this month #

FTDNA: how much the kit count grew between the tree copies of 2026-10-09 and 2026-11-12. A kit that moved to a new sub-branch after refinement is not counted as new. YFull: samples YFull itself marks as new, in the copy of 2026-11-02; YFull drops the mark after a few weeks.

+5
Y-DNA, FTDNA
new kits, 2026-10-09 → 2026-11-12
+1
mtDNA, FTDNA
new kits, 2026-10-12 → 2026-11-11
+3
Y-DNA, YFull
new samples as of 2026-11-02
+1
mtDNA, YFull
new samples as of 2026-11-02

Y-DNA: branches that grew

mtDNA: branches that grew

New Y-DNA samples in YFull

New mtDNA samples in YFull

YFull

Peoples and languages on YFull #

Native language reported by YFull customers from this country. People from regions with a page of their own (republics, autonomies) are shown there. These are the testers' own answers, not a census.

Ancient relatives of male lines #

Which cultures of the Copper Age and Early Bronze Age (4000–2000 BCE) the local male lines lead to most closely. The share is how many kits lead to a culture; the range is in brackets.

Austria Neolithic Scandinavian and Bell Beaker culture: 59.7% Neolithic Scandinavian and Bell Beaker culture ≈ 2,200–2,500 BCE 60%? 40%
Austria Neolithic Scandinavian and Bell Beaker culture Neolithic Scandinavian and Bell Beaker culture · R1b: 25.4% R1b Neolithic Scandinavian and Bell Beaker culture: R1b → R1b 12.6% Neolithic Scandinavian and Bell Beaker culture: R1b → R1b 9.1% Neolithic Scandinavian and Bell Beaker culture: R1b → R1b 3.8% Neolithic Scandinavian and Bell Beaker culture · R1a: 15.2% R1a Neolithic Scandinavian and Bell Beaker culture: R1a → R1a 9.4% Neolithic Scandinavian and Bell Beaker culture: R1a → R1a 5.8% Neolithic Scandinavian and Bell Beaker culture · I1: 8.1% I1 Neolithic Scandinavian and Bell Beaker culture: I1 → I1 7.8% Neolithic Scandinavian and Bell Beaker culture: I1 → I 0.3% Neolithic Scandinavian and Bell Beaker culture · I2a: 5.1% I2a Neolithic Scandinavian and Bell Beaker culture: I2a → I2a 5.1% Neolithic Scandinavian and Bell Beaker culture · G2a: 2.8% Neolithic Scandinavian and Bell Beaker culture: G2a → G2a 2.2% Neolithic Scandinavian and Bell Beaker culture: G2a → G 0.6% Neolithic Scandinavian and Bell Beaker culture · I2b: 1.3% Neolithic Scandinavian and Bell Beaker culture: I2b → I2b 1.0% Neolithic Scandinavian and Bell Beaker culture: I2b → I2b 0.3% Neolithic Scandinavian and Bell Beaker culture · I2: 0.8% Neolithic Scandinavian and Bell Beaker culture: I2 → I2 0.8% R1b 27% R1a 15% E1b1b 11% I1 8% J2a 7% I2a 5% J1 5% G2a 5% … 16%
Left: the major branches through which the lines lead to a culture; right: all major branches. Grey: the part of a branch without ancient relatives of this era.
How it is counted
  • Branches of the era. We take the ancient samples whose date falls inside the era, and compare the lines as they stood 1,500 years before the era ends.
  • A culture’s profile is the share of its lines on those branches. The number of samples does not change a weight: a culture of seven men weighs as much as one of a hundred and twenty.
  • A shallow test. An ancient man typed above the cut is spread over the branches under his node, by how many men each holds now. Today’s kits are treated the same way.
  • Who is admitted. A culture takes part when its sharply typed men cover 25% of the population on their own: branch by branch we add the smaller of the two shares, the culture’s and the population’s. One dug within 550 km needs only 0.5%.
  • The shares. We pick the weights of the cultures so that their mixture comes as close as it can to today’s set of branches.
  • Look-alike cultures. When cultures share almost all their branches, the data cannot say whose kin the men are. So we do not split the share between them: they get one bar.
  • The range. We recount everything on random subsets of the samples. In brackets are the bounds the share keeps in nine runs out of ten. A share that can fall below 5%, or below half of itself, is not shown at all.
  • “Fragile”: the share rests on a few samples, or a random shuffle of cultures gives as much.

What it does not mean. This is kinship of male lines, not the origin of a people. The female lines say nothing here. Who takes a test is a matter of chance, so the shares compare between countries, not with a census.

Other eras: Early Middle Ages — Avars 20%.

Ancient samples

From excavations on this territory: 477 samples by Y-DNA and 336 samples by mtDNA. The oldest: 29,000 BCE, Gravettian.

Avars 352 · Linear Pottery culture 58 · Únětice culture 33 · Unterwölbling culture 12 · Roman Age Austrian 8

All ancient samples →

Data on this page: FamilyTreeDNA Y tree, 12 November 2026: 1,086 kits; FamilyTreeDNA mtDNA tree, 11 November 2026: 857 kits; YFull Y tree, 2 November 2026: 88 samples; YFull mtDNA tree, 2 November 2026: 49 samples.

How to cite: ftdnastat, "Austria: Y-DNA and mtDNA haplogroups", https://ftdnastat.github.io/en/c/austria/, data of 2026-11-14, build 20261114-18dba71.

The data is licensed under CC BY 4.0: take it, rework it, just credit ftdnastat.