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Germany: haplogroups

FamilyTreeDNA has 17,585 kits with a Y-DNA result and 10,944 kits with mtDNA (mitochondrial DNA). On the paternal line the most common are R1b-L51 — 38%, I1 — 15% and R1a-M198 — 10%. On the maternal line the most common are H — 45%, U — 14% and T2 — 8%. YFull has 1,046 samples for Y from the same area, and its mix of major branches is broadly the same. The largest gap is R1b-M269: 42% on FTDNA against 35% on YFull.

Compare with…
42.1
Y-DNA · kits per 100,000 men
rank 23 of 123 among countries. About 42 million men (UN, 2023). A kit's country is the ancestor's homeland, not where the tester lives
12.9
mtDNA · kits per 100,000 people
rank 17 of 93 among countries. About 85 million people (UN, 2023)

Paternal line · Y-DNA

17,585 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).
9,245 · 52.6% 28k years
7,351 · 41.8% 6,500 years
6,910 · 39.3% 6,400 years
6,700 · 38.1% 6,100 years
3,116 · 17.7% 5,000 years
1,519 · 8.6% 4,500 years
979 · 5.6% 4,200 years
2,780 · 15.8% 4,900 years
1,227 · 7.0% 4,700 years
742 · 4.2% 4,600 years
639 · 3.6% 4,700 years
1,692 · 9.6% 8,500 years
1,043 · 5.9% 4,800 years
4,220 · 24.0% 35k years
2,665 · 15.2% 20k years
1,644 · 9.3% 4,500 years
949 · 5.4% 4,500 years
733 · 4.2% 4,300 years
1,458 · 8.3% 25k years
877 · 5.0% 17k years
601 · 3.4% 13k years
1,476 · 8.4% 30k years
1,102 · 6.3% 28k years
538 · 3.1% 20k years
1,222 · 6.9% 52k years
1,083 · 6.2% 25k years
719 · 4.1% 15k years
624 · 3.5% 5,200 years
1,007 · 5.7% 28k years
741 · 4.2% 19k years
other
415 · 2.4%

Among the rest: T 138, Q 117, N 69, L 49, C 23, H 8, F 6, O 4, K 1.

Maternal line · mtDNA

10,944 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.
4,919 · 44.9% 11k years
1,720 · 15.7% 7,900 years
409 · 3.7% 5,300 years
326 · 3.0%
306 · 2.8% 4,800 years
490 · 4.5% 8,500 years
465 · 4.2% 8,400 years
297 · 2.7% 7,700 years
432 · 3.9% 6,700 years
295 · 2.7% 8,000 years
262 · 2.4% 11k years
1,544 · 14.1% 51k years
U5a'b
871 · 8.0% 30k years
502 · 4.6% 21k years
357 · 3.3% 13k years
369 · 3.4% 25k years
U2'3'4'7'8'9
645 · 5.9% 50k years
340 · 3.1% 22k years
1,083 · 9.9% 20k years
837 · 7.6% 15k years
499 · 4.6% 8,500 years
1,006 · 9.2% 29k years
795 · 7.3% 23k years
557 · 5.1% 11k years
945 · 8.6% 35k years
670 · 6.1% 28k years
568 · 5.2% 13k years
275 · 2.5% 30k years
365 · 3.3% 7,500 years
259 · 2.4% 17k years
other
823 · 7.5%

Among the rest: HV 251, W 186, X 168, N 86, R 41, L 34, M 15, C 13, D 13, A 10, B 4, Z 1, G 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.

Germany: 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.

  • R-Z331: 445 kits · 2.5% (95% confidence interval: 2–3%) (×3.9) 4,000 years
  • R-Z330: 396 kits · 2.3% (95% confidence interval: 2–2%) (×3.9) 3,400 years
  • R-Z326: 345 kits · 2.0% (95% confidence interval: 2–2%) (×3.9) 3,400 years
  • R-Z8168: 275 kits · 1.6% (95% confidence interval: 1–2%) (×3.9) 3,300 years
  • R-DF88: 233 kits · 1.3% (95% confidence interval: 1–2%) (×3.2) 4,100 years
  • R-DF19 R1b-DF19: 281 kits · 1.6% (95% confidence interval: 1–2%) (×3.0) 4,600 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.

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

Germany: 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.

  • H5t: 14 kits · 0.1% (95% confidence interval: 0–0%) (×6.9)
  • H75: 18 kits · 0.2% (95% confidence interval: 0–0%) (×5.4)
  • V3c: 54 kits · 0.5% (95% confidence interval: 0–1%) (×3.9)
  • V12: 14 kits · 0.1% (95% confidence interval: 0–0%) (×4.3)
  • H50: 13 kits · 0.1% (95% confidence interval: 0–0%) (×4.1)
  • H1k: 10 kits · 0.1% (95% confidence interval: 0–0%) (×4.1)
  • H36: 19 kits · 0.2% (95% confidence interval: 0–0%) (×3.1)
  • H1s: 14 kits · 0.1% (95% confidence interval: 0–0%) (×3.3)

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.

0–32%33–54%55–75%76–87%88–95%Germanyunder 100 kits
All 71 countries and regions by similarity
  1. England 95%
  2. United Kingdom 93%
  3. United States 92%
  4. Sweden 92%
  5. Netherlands 91%
  6. France 91%
  7. Scotland 90%
  8. Switzerland 90%
  9. Ireland 90%
  10. Poland 90%
  11. Czech Republic 89%
  12. Norway 88%
  13. Austria 88%
  14. Denmark 88%
  15. Russia 87%
  16. Hungary 87%
  17. Wales 85%
  18. Canada 85%
  19. Belgium 85%
  20. Slovakia 84%
  21. Italy 83%
  22. Northern Ireland 83%
  23. Ukraine 82%
  24. Slovenia 77%
  25. Estonia 76%
  26. Portugal 76%
  27. Lithuania 76%
  28. Romania 76%
  29. Australia 75%
  30. Finland 75%
  31. Croatia 74%
  32. Bulgaria 73%
  33. Serbia 72%
  34. Greece 71%
  35. Spain 71%
  36. Belarus 70%
  37. Latvia 70%
  38. Bosnia and Herzegovina 67%
  39. United States (Native American) 67%
  40. Moldova 60%
  41. Turkey 59%
  42. Chechnya 54%
  43. Algeria 54%
  44. Armenia 52%
  45. Syria 50%
  46. Morocco 48%
  47. Israel 47%
  48. Lebanon 47%
  49. New Zealand 46%
  50. Iraq 39%
  51. Iran 38%
  52. South Africa 38%
  53. Egypt 38%
  54. Cuba 37%
  55. Brazil 37%
  56. Saudi Arabia 35%
  57. United Arab Emirates 32%
  58. Kuwait 29%
  59. Argentina 24%
  60. Mexico 21%
  61. Dominican Republic 21%
  62. India 20%
  63. Puerto Rico 17%
  64. Canada (First Nations) 15%
  65. Jamaica 8%
  66. China 8%
  67. Chile 7%
  68. Colombia 5%
  69. Japan 3%
  70. South Korea 0%
  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

17,585
FTDNA
kits
1,046
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
R R-M207
52.6% · 46.5%−6.1
R1b-M269 R-M269
41.8% · 35.0%−6.8
L23 R-L23
39.3% · 34.8%−4.5
R1a-M198 R-M198
9.6% · 10.6%+1
Z282 R-Z282
5.9% · 7.5%+1.5
I I-L758
24.0% · 25.6%+1.6
I1 I-M253
15.2% · 15.4%+0.2
DF29 I-DF29
9.3% · 14.7%+5.4
I2 I-P215
8.3% · 10.2%+1.9
I2b I-M223
5.0% · 5.5%+0.6
J J-M304
8.4% · 10.5%+2.1
J2 J-M172
6.3% · 9.0%+2.7
J2a J-M410
3.1% · 5.4%+2.3
E E-M96
6.9% · 8.6%+1.7
E1b1b-M35 E-M35
6.2% · 8.4%+2.3
4.1% · 6.0%+1.9
G G-M201
5.7% · 5.7%0
G2a G-P15
4.2% · 5.2%+0.9

mtDNA

10,944
FTDNA
kits
380
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
44.9% · 42.6%−2.3
15.7% · 14.5%−1.2
3.7% · 3.7%−0.1
3.0% · 1.6%−1.4
2.8% · 1.8%−1
4.5% · 2.9%−1.6
4.2% · 2.1%−2.1
3.9% · 4.5%+0.5
2.7% · 2.4%−0.3
2.4% · 1.1%−1.3
14.1% · 15.0%+0.9
U5a'b
8.0% · 7.1%−0.9
4.6% · 4.5%−0.1
3.4% · 2.6%−0.7
U2'3'4'7'8'9
5.9% · 7.9%+2
3.1% · 3.9%+0.8
9.9% · 12.9%+3
7.6% · 8.7%+1
4.6% · 5.0%+0.4
9.2% · 9.5%+0.3
7.3% · 6.6%−0.7
5.1% · 5.3%+0.2
8.6% · 7.9%−0.7
6.1% · 6.3%+0.2
5.2% · 6.1%+0.9
2.5% · 1.6%−0.9
3.3% · 3.9%+0.6
2.4% · 1.1%−1.3

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 17,585 · Projects 3,963

FTDNAProjects
FTDNA · Projects · Δ
R R-M207
52.6% · 51.7%−0.9
R1b-M269 R-M269
41.8% · 43.2%+1.4
L23 R-L23
39.3% · 33.2%−6.1
L51 R-L51
38.1% · 32.0%−6.1
U106 R-U106
17.7% · 14.6%−3.1
L48 R-L48
8.6% · 7.2%−1.4
P312 R-P312
15.8% · 14.5%−1.3
U152 R-U152
7.0% · 6.5%−0.4
R1a-M198 R-M198
9.6% · 8.0%−1.6
I I-L758
24.0% · 25.0%+1
I1 I-M253
15.2% · 14.8%−0.3
DF29 I-DF29
9.3% · 9.9%+0.6
I2 I-P215
8.3% · 7.4%−0.9
J J-M304
8.4% · 7.5%−0.9

mtDNA FTDNA 10,944 · Projects 1,943

FTDNAProjects
FTDNA · Projects · Δ
44.9% · 43.1%−1.9
15.7% · 13.1%−2.6
14.1% · 14.8%+0.7
U5a'b
8.0% · 5.6%−2.4
4.6% · 3.0%−1.6
U2'3'4'7'8'9
5.9% · 6.4%+0.5
9.9% · 10.6%+0.7
7.6% · 7.5%−0.1
9.2% · 9.5%+0.3
7.3% · 6.2%−1.1
5.1% · 4.5%−0.6
8.6% · 7.2%−1.5
6.1% · 4.1%−2.1
5.2% · 3.5%−1.7
4,155
Y-DNA · People on the map
3,963 of them have a branch of the tree; relatives with one ancestor at one place count as one, 4,098 such votes
79%
Y-DNA · SNP-confirmed
that many have the branch confirmed by an SNP test, the rest predicted from STRs
1,943
mtDNA · People on the map
1,943 of them have a branch of the tree; relatives with one ancestor at one place count as one, 1,920 such votes
89%
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.
R-M269 −6.8
gap to YFull · Y
the Y branch whose share differs most between the two companies: FTDNA 41.8%, YFull 35.0%
29% / 16%
reached the finest branch: YFull / FTDNA
share of YFull samples and FTDNA kits that reached the finest branch of the FTDNA tree. On average a YFull sample sits 37.1 branchings from the root, an FTDNA kit 31.1
16%
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.
26%
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.
37%
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.
0.62
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.

+28
Y-DNA, FTDNA
new kits, 2026-10-09 → 2026-11-12
+24
mtDNA, FTDNA
new kits, 2026-10-12 → 2026-11-11
+13
Y-DNA, YFull
new samples as of 2026-11-02
+5
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

Regions on YFull #

Regions that cannot be picked at FTDNA but are reported by YFull customers. Regions with 20 or more samples are shown; modern YFull customers only. YFull regions →

Regions on YFull
Country / region Y mt Leading
Baden-Wurttemberg DE-BW 173 43 R-L51 R1b-L51 31%, J-M172 J2 17%, I-DF29 I1-DF29 17%
Rheinland-Pfalz DE-RP 114 23 R-L51 R1b-L51 39%, I-P215 I2 13%, I-DF29 I1-DF29 11%
Bayern DE-BY 100 53 R-L51 R1b-L51 29%, J-M172 J2 13%, I-DF29 I1-DF29 11%
Nordrhein-Westfalen DE-NW 86 38 R-L51 R1b-L51 33%, I-DF29 I1-DF29 19%, I-CTS616 I2b-CTS616 13%
Hessen DE-HE 82 26 R-L51 R1b-L51 33%, I-DF29 I1-DF29 17%, J-M92 J2a-M92 6%
Niedersachsen DE-NI 54 26 I-DF29 I1-DF29 26%, R-L51 R1b-L51 24%, R-M198 R1a-M198 17%
Sachsen DE-SN 33 19 R-L51 R1b-L51 27%, R-M458 R1a-M458 12%, R-V88 R1b-V88 12%
Thuringen DE-TH 32 8 R-L51 R1b-L51 47%, R-CTS1211 R1a-CTS1211 9%, G-P15 G2a 9%
Mecklenburg-Vorpommern DE-MV 32 7 R-Z282 R1a-Z282 25%, R-L51 R1b-L51 16%, I-DF29 I1-DF29 16%
Schleswig-Holstein DE-SH 31 10 I-Z2338 I1-Z2338 26%, R-U106 R1b-U106 23%, R-M458 R1a-M458 13%
Sachsen-Anhalt DE-ST 25 11 R-L51 R1b-L51 48%, R-Z282 R1a-Z282 12%, I-Z59 I1-Z59 12%
Brandenburg DE-BB 22 13 R-L51 R1b-L51 32%, I-Z59 I1-Z59 23%, R-M458 R1a-M458 14%
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.

YFull

Recent kin across borders #

Shared young paternal branches: YFull customers from this country and from the partner country have a common paternal-line ancestor no older than 500 years. The comparison accounts for how linked a country is abroad overall: shown are partners with more shared branches than its general openness would give. It reflects recent migration and shared ancestry, not ethnicity.

Recent kin across borders
Country shared branches expected × chance?
Poland 12 2.3 5.2 unlikely by chance p < 0.001
Ukraine 8 2.1 3.8 unlikely by chance p = 0.001
Lithuania 7 1.9 3.6 unlikely by chance p = 0.003
Belarus 5 1.7 2.9 unlikely by chance p = 0.028
YFull

Paternal and maternal lines together #

Members of this people with both lines known on YFull. For each “Y branch × mt branch” combination, how many times it occurred and how many would be expected if the two lines had nothing to do with each other. Y and mt pairs → n=402

Notably above chance

Y × mt: line combinations · Notably above chance
Y mt pairs expected by chance × chance?
R1b-Z304 H1b 5 0.7 7.39 unlikely by chance p < 0.001

Most frequent combinations

Y × mt: line combinations · Most frequent combinations
Y mt pairs expected by chance × chance?
R1b-Z304 H1b 5 0.7 7.39 unlikely by chance p < 0.001
G2a-U1 U2e 4 0.2 18.27 unlikely by chance p < 0.001
I1-Z59 T2b 4 0.9 4.25 could be chance p = 0.010
R1b-Z9 H1a 4 1.5 2.69 could be chance p = 0.052
E-V13 K1a 3 0.7 4.43 could be chance p = 0.025
I2b-CTS616 T2c 3 0.2 15.08 unlikely by chance p < 0.001
J2a-Z435 H3a 3 0.1 24.61 unlikely by chance p < 0.001
R1a-M458 U5a 3 0.8 3.72 could be chance p = 0.040

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.

Germany Neolithic Scandinavian and Bell Beaker culture: 69.6% Neolithic Scandinavian and Bell Beaker culture ≈ 2,200–2,500 BCE 70% 30%
Germany Neolithic Scandinavian and Bell Beaker culture Neolithic Scandinavian and Bell Beaker culture · R1b: 41.0% R1b Neolithic Scandinavian and Bell Beaker culture: R1b → R1b 25.2% Neolithic Scandinavian and Bell Beaker culture: R1b → R1b 14.4% Neolithic Scandinavian and Bell Beaker culture: R1b → R1b 1.4% Neolithic Scandinavian and Bell Beaker culture · I1: 12.9% I1 Neolithic Scandinavian and Bell Beaker culture: I1 → I1 12.6% Neolithic Scandinavian and Bell Beaker culture: I1 → I 0.3% Neolithic Scandinavian and Bell Beaker culture · R1a: 9.8% R1a Neolithic Scandinavian and Bell Beaker culture: R1a → R1a 6.8% Neolithic Scandinavian and Bell Beaker culture: R1a → R1a 2.8% Neolithic Scandinavian and Bell Beaker culture: R1a → R1a 0.3% Neolithic Scandinavian and Bell Beaker culture · I2b: 3.1% Neolithic Scandinavian and Bell Beaker culture: I2b → I2b 2.6% Neolithic Scandinavian and Bell Beaker culture: I2b → I2b 0.5% Neolithic Scandinavian and Bell Beaker culture · G2a: 0.6% Neolithic Scandinavian and Bell Beaker culture: G2a → G2a 0.6% Neolithic Scandinavian and Bell Beaker culture · I2: 0.9% Neolithic Scandinavian and Bell Beaker culture: I2 → I2 0.9% Neolithic Scandinavian and Bell Beaker culture · I2a: 0.5% Neolithic Scandinavian and Bell Beaker culture: I2a → I2a 0.5% R1b 43% I1 15% R1a 10% E1b1b 6% I2b 5% G2a 4% J2a 3% … 11%
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.

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.

Ancient samples

From excavations on this territory: 759 samples by Y-DNA and 178 samples by mtDNA. The oldest: 121,780 BCE, NA.

Medieval German 184 · Polabian Slavs 91 · Wartberg culture 81 · Linear Pottery culture 55 · Thuringii 36

All ancient samples →

Data on this page: FamilyTreeDNA Y tree, 12 November 2026: 17,585 kits; FamilyTreeDNA mtDNA tree, 11 November 2026: 10,944 kits; YFull Y tree, 2 November 2026: 1,046 samples; YFull mtDNA tree, 2 November 2026: 380 samples.

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

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