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Spain: haplogroups

FamilyTreeDNA has 3,937 kits with a Y-DNA result and 1,464 kits with mtDNA (mitochondrial DNA). On the paternal line the most common are R1b-L51 — 46%, E1b1b-M35 — 10% and J2 — 9%. On the maternal line the most common are H — 34%, U — 12% and A2 — 7%. YFull has 68 samples for Y from the same area, and its mix of major branches is noticeably different. The largest gap is J: 15% on FTDNA against 37% on YFull.

Compare with…
18.7
Y-DNA · kits per 100,000 men
rank 52 of 123 among countries. About 24 million men (UN, 2023). A kit's country is the ancestor's homeland, not where the tester lives
3.5
mtDNA · kits per 100,000 people
rank 45 of 93 among countries. About 48 million people (UN, 2023)

Mitotree, the mt tree of FTDNA Discover, has about 577 more samples from here that the public mt tree lacks: mostly academic studies, GenBank among them (copy of 11 November 2026). This page is built from the public FTDNA tree.

Paternal line · Y-DNA

3,937 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).
2,107 · 53.5% 28k years
2,000 · 50.8% 6,500 years
1,808 · 45.9% 6,100 years
1,396 · 35.5% 4,900 years
972 · 24.7% 4,700 years
574 · 14.6% 4,600 years
182 · 4.6% 4,700 years
148 · 3.8% 4,600 years
131 · 3.3% 4,700 years
85 · 2.2% 5,000 years
590 · 15.0% 30k years
358 · 9.1% 28k years
216 · 5.5% 20k years
225 · 5.7% 19k years
135 · 3.4% 9,800 years
94 · 2.4% 5,800 years
446 · 11.3% 52k years
384 · 9.8% 25k years
137 · 3.5% 4,500 years
96 · 2.4% 2,400 years
122 · 3.1% 15k years
404 · 10.3% 35k years
216 · 5.5% 25k years
134 · 3.4% 20k years
87 · 2.2% 12k years
176 · 4.5% 20k years
116 · 2.9% 4,500 years
224 · 5.7% 28k years
166 · 4.2% 19k years
96 · 2.4% 12k years
other
166 · 4.2%

Among the rest: T 83, Q 35, L 16, O 11, C 7, N 6, F 3, B 2, H 2, K 1.

Maternal line · mtDNA

1,464 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.
494 · 33.7% 11k years
201 · 13.7% 7,900 years
34 · 2.3% 6,500 years
84 · 5.7% 6,700 years
33 · 2.3% 8,000 years
177 · 12.1% 51k years
U5a'b
97 · 6.6% 30k years
67 · 4.6% 25k years
48 · 3.3% 15k years
U2'3'4'7'8'9
40 · 2.7% 50k years
37 · 2.5% 41k years
U6a'b'd
33 · 2.3% 28k years
L1'2'3'4'5'6'7
105 · 7.2%
L2'3'4'6
80 · 5.5% 97k years
49 · 3.3% 66k years
102 · 7.0% 17k years
78 · 5.3%
93 · 6.4% 29k years
68 · 4.6% 23k years
49 · 3.3% 11k years
90 · 6.1% 35k years
65 · 4.4% 28k years
45 · 3.1% 13k years
75 · 5.1% 20k years
53 · 3.6% 15k years
31 · 2.1% 8,500 years
71 · 4.8% 18k years
70 · 4.8% 24k years
44 · 3.0% 19k years
48 · 3.3% 7,500 years
other
139 · 9.5%

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.

Spain: 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-Z278: 288 kits · 7.3% (95% confidence interval: 7–8%) (×17.8) 3,300 years
  • R-Z295: 326 kits · 8.3% (95% confidence interval: 7–9%) (×11.7) 4,100 years
  • R-DF27 R1b-DF27: 972 kits · 24.7% (95% confidence interval: 23–26%) (×5.3) 4,700 years
  • R-Z195 R1b-Z195: 574 kits · 14.6% (95% confidence interval: 14–16%) (×5.7) 4,600 years
  • E-M81 E-M81: 137 kits · 3.5% (95% confidence interval: 3–4%) (×6.4) 4,500 years
  • E-PF2546 E-PF2546: 96 kits · 2.4% (95% confidence interval: 2–3%) (×6.0) 2,400 years
  • R-ZZ12_1: 373 kits · 9.5% (95% confidence interval: 9–10%) (×4.6) 4,600 years
  • R-ZZ11: 1,103 kits · 28.0% (95% confidence interval: 27–29%) (×3.3) 4,800 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.

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

Spain: 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.

  • U6b: 21 kits · 1.4% (95% confidence interval: 1–2%) (×40.4)
  • H1j: 34 kits · 2.3% (95% confidence interval: 2–3%) (×7.8)
  • C1b: 44 kits · 3.0% (95% confidence interval: 2–4%) (×5.8)
  • B2a: 20 kits · 1.4% (95% confidence interval: 1–2%) (×7.0)
  • A2a: 21 kits · 1.4% (95% confidence interval: 1–2%) (×6.3)
  • B2b: 10 kits · 0.7% (95% confidence interval: 0–1%) (×6.9)
  • C1c: 17 kits · 1.2% (95% confidence interval: 1–2%) (×4.9)
  • A2h: 10 kits · 0.7% (95% confidence interval: 0–1%) (×5.4)

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.

3–39%40–54%55–60%61–67%68–79%Spainunder 100 kits
All 71 countries and regions by similarity
  1. United States 79%
  2. Portugal 79%
  3. United States (Native American) 78%
  4. France 74%
  5. Canada 73%
  6. United Kingdom 71%
  7. England 71%
  8. Germany 71%
  9. Italy 70%
  10. Ireland 70%
  11. Scotland 69%
  12. Norway 68%
  13. Netherlands 67%
  14. Sweden 67%
  15. Poland 67%
  16. Belgium 66%
  17. Switzerland 66%
  18. Hungary 66%
  19. Wales 66%
  20. Czech Republic 65%
  21. Austria 65%
  22. Northern Ireland 65%
  23. Russia 64%
  24. Denmark 63%
  25. Slovakia 63%
  26. Cuba 63%
  27. Ukraine 62%
  28. Algeria 61%
  29. Brazil 60%
  30. Romania 60%
  31. Lithuania 59%
  32. Morocco 58%
  33. Bulgaria 57%
  34. Australia 56%
  35. Croatia 56%
  36. Latvia 56%
  37. Greece 56%
  38. Estonia 56%
  39. Belarus 56%
  40. Slovenia 55%
  41. Serbia 55%
  42. Finland 55%
  43. Mexico 54%
  44. Israel 53%
  45. Bosnia and Herzegovina 51%
  46. Turkey 48%
  47. Syria 47%
  48. Puerto Rico 47%
  49. Moldova 46%
  50. Dominican Republic 46%
  51. Egypt 43%
  52. South Africa 41%
  53. Armenia 41%
  54. Lebanon 39%
  55. New Zealand 39%
  56. Saudi Arabia 39%
  57. Chechnya 39%
  58. Argentina 37%
  59. Iraq 37%
  60. Colombia 32%
  61. United Arab Emirates 32%
  62. Canada (First Nations) 31%
  63. Iran 31%
  64. Kuwait 31%
  65. Chile 25%
  66. Jamaica 25%
  67. India 19%
  68. China 9%
  69. Japan 4%
  70. Philippines 4%
  71. South Korea 3%
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

3,937
FTDNA
kits
68
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
R R-M207
53.5% · 35.3%−18.2
R1b-M269 R-M269
50.8% · 30.9%−19.9
L51 R-L51
45.9% · 30.9%−15
J J-M304
15.0% · 36.8%+21.8
J2 J-M172
9.1% · 29.4%+20.3
J2a J-M410
5.5% · 25.0%+19.5
J1 J-M267
5.7% · 7.4%+1.6
P58 J-P58
3.4% · 7.4%+3.9
E E-M96
11.3% · 5.9%−5.4
E1b1b-M35 E-M35
9.8% · 4.4%−5.3
3.5% · 2.9%−0.5
3.1% · 1.5%−1.6
I I-L758
10.3% · 17.6%+7.4
I2 I-P215
5.5% · 10.3%+4.8
I2a I-P37
3.4% · 8.8%+5.4
I1 I-M253
4.5% · 7.4%+2.9
DF29 I-DF29
2.9% · 7.4%+4.4
G G-M201
5.7% · 1.5%−4.2
G2a G-P15
4.2% · 1.5%−2.7
P303 G-P303
2.4% · 1.5%−1

mtDNA

YFull has fewer than 30 samples from this country, too few to compare. 21 samples on YFull

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. Regions with a page of their own are not included here: they are counted apart.

Y-DNA FTDNA 3,937 · Projects 76

FTDNAProjects
FTDNA · Projects · Δ
R R-M207
53.5% · 60.5%+7
R1b-M269 R-M269
50.8% · 56.6%+5.8
L51 R-L51
45.9% · 40.8%−5.1
P312 R-P312
35.5% · 36.8%+1.4
DF27 R-DF27
24.7% · 22.4%−2.3
Z195 R-Z195
14.6% · 15.8%+1.2
J J-M304
15.0% · 5.3%−9.7
J2 J-M172
9.1% · 2.6%−6.5
J1 J-M267
5.7% · 2.6%−3.1
E E-M96
11.3% · 9.2%−2.1
E1b1b-M35 E-M35
9.8% · 7.9%−1.9
I I-L758
10.3% · 7.9%−2.4
I2 I-P215
5.5% · 7.9%+2.4
G G-M201
5.7% · 14.5%+8.8
81
Y-DNA · People on the map
76 of them have a branch of the tree; relatives with one ancestor at one place count as one, 77 such votes
70%
Y-DNA · SNP-confirmed
that many have the branch confirmed by an SNP test, the rest predicted from STRs
68%
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.
J-M304 +21.8
gap to YFull · Y
the Y branch whose share differs most between the two companies: FTDNA 15.0%, YFull 36.8%
13%
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.
21%
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.
0.37
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.

+2
mtDNA, FTDNA
new kits, 2026-10-12 → 2026-11-11

mtDNA: branches that grew

Subregions #

Each bar is all the kits of one place; a colour is a group of haplogroups. The “Spain” line holds kits that name only the country, without a region. A faded line has fewer than 20 kits; its shares are unreliable.

Y-DNA

R1b-DF27R1b-L21R1a-M198rest of RE-Z827rest of EJIGother

mtDNA

HUJTKLHVVIother

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.

Spain Bell Beaker culture and Neolithic Scandinavian: 56.3% Bell Beaker culture and Neolithic Scandinavian ≈ 2,200–2,300 BCE 56%? 44%
Spain Bell Beaker culture and Neolithic Scandinavian Bell Beaker culture and Neolithic Scandinavian · R1b: 50.4% R1b Bell Beaker culture and Neolithic Scandinavian: R1b → R1b 48.4% Bell Beaker culture and Neolithic Scandinavian: R1b → R1b 2.0% Bell Beaker culture and Neolithic Scandinavian · I1: 1.7% Bell Beaker culture and Neolithic Scandinavian: I1 → I1 1.7% Bell Beaker culture and Neolithic Scandinavian · G2a: 0.9% Bell Beaker culture and Neolithic Scandinavian: G2a → G2a 0.7% Bell Beaker culture and Neolithic Scandinavian: G2a → G 0.2% Bell Beaker culture and Neolithic Scandinavian · I2a: 0.4% Bell Beaker culture and Neolithic Scandinavian: I2a → I2a 0.4% Bell Beaker culture and Neolithic Scandinavian · R1a: 1.3% Bell Beaker culture and Neolithic Scandinavian: R1a → R1a 0.8% Bell Beaker culture and Neolithic Scandinavian: R1a → R1a 0.5% Bell Beaker culture and Neolithic Scandinavian · I2b: 0.9% Bell Beaker culture and Neolithic Scandinavian: I2b → I2b 0.6% Bell Beaker culture and Neolithic Scandinavian: I2b → I2b 0.3% R1b 52% E1b1b 10% J1 6% J2a 5% I1 4% G2a 4% I2a 3% … 12%
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.

Ancient samples

From excavations on this territory: 334 samples by Y-DNA and 60 samples by mtDNA. The oldest: 392,980 BCE, HD.

Chalcolithic Iberian 59 · Neolithic Iberian 37 · Bronze Age Iberian 23 · El Argar, early period 22 · Guanches 22

All ancient samples →

Data on this page: FamilyTreeDNA Y tree, 12 November 2026: 3,937 kits; FamilyTreeDNA mtDNA tree, 11 November 2026: 1,464 kits; YFull Y tree, 2 November 2026: 68 samples; YFull mtDNA tree, 2 November 2026: 21 samples.

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

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