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Italy: haplogroups

FamilyTreeDNA has 6,033 kits with a Y-DNA result and 2,966 kits with mtDNA (mitochondrial DNA). On the paternal line the most common are R1b-L51 — 25%, J2 — 19% and E1b1b-M35 — 12%. On the maternal line the most common are H — 39%, U — 14% and J1 — 8%. YFull has 426 samples for Y from the same area, and its mix of major branches is broadly the same. The largest gap is R1b-P312: 18% on FTDNA against 23% on YFull.

Compare with…
21.4
Y-DNA · kits per 100,000 men
rank 46 of 123 among countries. About 29 million men (UN, 2023). A kit's country is the ancestor's homeland, not where the tester lives
5.1
mtDNA · kits per 100,000 people
rank 38 of 93 among countries. About 59 million people (UN, 2023)

Mitotree, the mt tree of FTDNA Discover, has about 915 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

6,033 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).
2,194 · 36.4% 28k years
1,900 · 31.5% 6,500 years
1,697 · 28.1% 6,400 years
1,496 · 24.8% 6,100 years
1,066 · 17.7% 4,900 years
729 · 12.1% 4,700 years
336 · 5.6% 4,600 years
190 · 3.1% 4,700 years
172 · 2.9% 5,000 years
173 · 2.9% 5,700 years
204 · 3.4% 8,500 years
1,468 · 24.3% 30k years
1,148 · 19.0% 28k years
696 · 11.5% 20k years
264 · 4.4% 16k years
238 · 3.9% 8,800 years
251 · 4.2% 13k years
166 · 2.8% 16k years
305 · 5.1% 19k years
822 · 13.6% 52k years
750 · 12.4% 25k years
439 · 7.3% 15k years
303 · 5.0% 5,200 years
711 · 11.8% 28k years
513 · 8.5% 19k years
258 · 4.3% 12k years
517 · 8.6% 35k years
282 · 4.7% 25k years
219 · 3.6% 20k years
215 · 3.6% 28k years
other
106 · 1.8%

Among the rest: L 47, Q 28, H 12, C 9, A 4, F 2, O 2, K 1, N 1.

Maternal line · mtDNA

2,966 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.
1,160 · 39.1% 11k years
282 · 9.5% 7,900 years
108 · 3.6% 8,400 years
80 · 2.7% 6,700 years
64 · 2.2% 11k years
416 · 14.0% 51k years
U2'3'4'7'8'9
189 · 6.4% 50k years
76 · 2.6% 35k years
U5a'b
171 · 5.8% 30k years
108 · 3.6% 21k years
57 · 1.9% 13k years
63 · 2.1% 25k years
292 · 9.8% 35k years
223 · 7.5% 28k years
163 · 5.5% 13k years
69 · 2.3% 30k years
269 · 9.1% 20k years
205 · 6.9% 15k years
81 · 2.7% 8,500 years
61 · 2.1% 15k years
198 · 6.7% 29k years
177 · 6.0% 23k years
144 · 4.9% 11k years
168 · 5.7% 13k years
54 · 1.8% 7,500 years
78 · 2.6% 7,500 years
77 · 2.6% 14k years
68 · 2.3%
62 · 2.1% 12k years
56 · 1.9% 59k years
other
190 · 6.4%

Among the rest: L 34, M 25, C 14, D 9, B 8.

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.

Italy: 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.

  • J-L70: 140 kits · 2.3% (95% confidence interval: 2–3%) (×5.8) 4,000 years
  • J-Z387: 176 kits · 2.9% (95% confidence interval: 3–3%) (×5.2) 7,000 years
  • R-U152 R1b-U152: 729 kits · 12.1% (95% confidence interval: 11–13%) (×3.3) 4,700 years
  • J-M172 J2: 1,148 kits · 19.0% (95% confidence interval: 18–20%) (×3.1) 28k years
  • G-M201 G: 711 kits · 11.8% (95% confidence interval: 11–13%) (×3.2) 28k years
  • G-P15 G2a: 513 kits · 8.5% (95% confidence interval: 8–9%) (×3.1) 19k years
  • G-CTS574: 398 kits · 6.6% (95% confidence interval: 6–7%) (×3.2) 16k years
  • J-L25 J2a-L25: 238 kits · 3.9% (95% confidence interval: 3–4%) (×3.4) 8,800 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.

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

Italy: 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.

  • X2m: 15 kits · 0.5% (95% confidence interval: 0–1%) (×11.6)
  • HV4a: 16 kits · 0.5% (95% confidence interval: 0–1%) (×8.2)
  • HV4: 11 kits · 0.4% (95% confidence interval: 0–1%) (×8.8)
  • X2: 18 kits · 0.6% (95% confidence interval: 0–1%) (×6.4)
  • X2d: 11 kits · 0.4% (95% confidence interval: 0–1%) (×7.0)
  • H14a: 17 kits · 0.6% (95% confidence interval: 0–1%) (×5.7)
  • U3b: 36 kits · 1.2% (95% confidence interval: 1–2%) (×4.3)
  • J1d: 16 kits · 0.5% (95% confidence interval: 0–1%) (×4.9)

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.

0–36%37–60%61–71%72–77%78–83%Italyunder 100 kits
All 71 countries and regions by similarity
  1. Germany 83%
  2. France 82%
  3. Czech Republic 81%
  4. Hungary 81%
  5. Poland 81%
  6. England 80%
  7. United States 80%
  8. Austria 79%
  9. Greece 79%
  10. Bulgaria 79%
  11. Russia 79%
  12. Switzerland 79%
  13. United Kingdom 79%
  14. Sweden 77%
  15. Scotland 77%
  16. Slovakia 77%
  17. Ukraine 77%
  18. Ireland 76%
  19. Turkey 76%
  20. Netherlands 76%
  21. Canada 75%
  22. Norway 75%
  23. Portugal 75%
  24. Belgium 75%
  25. Romania 73%
  26. Wales 73%
  27. Croatia 72%
  28. Denmark 71%
  29. Northern Ireland 71%
  30. Spain 70%
  31. Slovenia 70%
  32. Serbia 68%
  33. Lithuania 68%
  34. Belarus 67%
  35. Bosnia and Herzegovina 67%
  36. Armenia 65%
  37. Latvia 64%
  38. Estonia 63%
  39. Algeria 63%
  40. Australia 63%
  41. Syria 62%
  42. United States (Native American) 61%
  43. Chechnya 60%
  44. Finland 60%
  45. Lebanon 60%
  46. Iraq 53%
  47. Morocco 53%
  48. Moldova 53%
  49. Iran 52%
  50. Israel 51%
  51. Saudi Arabia 50%
  52. Egypt 48%
  53. United Arab Emirates 42%
  54. Kuwait 41%
  55. New Zealand 41%
  56. Brazil 38%
  57. Cuba 36%
  58. South Africa 35%
  59. Argentina 25%
  60. India 23%
  61. Mexico 23%
  62. Dominican Republic 22%
  63. Puerto Rico 19%
  64. Canada (First Nations) 14%
  65. Jamaica 11%
  66. Chile 9%
  67. Colombia 9%
  68. China 8%
  69. Japan 3%
  70. South Korea 1%
  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

6,033
FTDNA
kits
426
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
R R-M207
36.4% · 35.9%−0.5
R1b-M269 R-M269
31.5% · 31.5%0
L23 R-L23
28.1% · 30.3%+2.2
R1a-M198 R-M198
3.4% · 2.3%−1
J J-M304
24.3% · 24.6%+0.3
J2 J-M172
19.0% · 18.1%−1
J2a J-M410
11.5% · 11.0%−0.5
J2b J-M102
2.8% · 7.0%+4.3
J1 J-M267
5.1% · 6.6%+1.5
E E-M96
13.6% · 13.1%−0.5
E1b1b-M35 E-M35
12.4% · 12.2%−0.2
7.3% · 7.3%0
G G-M201
11.8% · 12.2%+0.4
G2a G-P15
8.5% · 11.5%+3
P303 G-P303
4.3% · 7.3%+3
I I-L758
8.6% · 9.2%+0.6
I2 I-P215
4.7% · 3.3%−1.4
I1 I-M253
3.6% · 5.9%+2.2
T T-M184
3.6% · 2.6%−1

mtDNA

2,966
FTDNA
kits
193
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
39.1% · 42.5%+3.4
9.5% · 9.8%+0.3
3.6% · 5.2%+1.5
2.7% · 2.6%−0.1
2.2% · 1.6%−0.6
14.0% · 17.6%+3.6
U2'3'4'7'8'9
6.4% · 7.8%+1.4
2.6% · 3.6%+1.1
U5a'b
5.8% · 7.3%+1.5
3.6% · 5.7%+2.1
2.1% · 1.6%−0.6
9.8% · 6.7%−3.1
7.5% · 6.2%−1.3
5.5% · 5.7%+0.2
2.3% · 0.5%−1.8
9.1% · 8.3%−0.8
6.9% · 6.2%−0.7
2.7% · 3.1%+0.4
2.1% · 2.1%0
6.7% · 8.8%+2.1
6.0% · 7.8%+1.8
4.9% · 7.3%+2.4
5.7% · 2.1%−3.6
1.8% · 1.0%−0.8
2.6% · 3.1%+0.5
2.6% · 2.6%0
2.3% · 2.1%−0.2
2.1% · 3.1%+1
1.9% · 0.5%−1.4

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 6,033 · Projects 1,255

FTDNAProjects
FTDNA · Projects · Δ
R R-M207
36.4% · 38.8%+2.4
R1b-M269 R-M269
31.5% · 35.1%+3.6
L23 R-L23
28.1% · 26.9%−1.3
L51 R-L51
24.8% · 23.7%−1.1
P312 R-P312
17.7% · 18.7%+1.1
U152 R-U152
12.1% · 12.3%+0.2
J J-M304
24.3% · 22.2%−2.2
J2 J-M172
19.0% · 18.6%−0.5
J2a J-M410
11.5% · 11.1%−0.5
E E-M96
13.6% · 13.0%−0.6
E1b1b-M35 E-M35
12.4% · 11.8%−0.6
G G-M201
11.8% · 12.3%+0.5
G2a G-P15
8.5% · 8.1%−0.4
I I-L758
8.6% · 9.1%+0.5

mtDNA FTDNA 2,966 · Projects 746

FTDNAProjects
FTDNA · Projects · Δ
39.1% · 41.0%+1.9
9.5% · 7.5%−2
14.0% · 14.2%+0.2
U2'3'4'7'8'9
6.4% · 6.3%−0.1
U5a'b
5.8% · 3.1%−2.7
9.8% · 10.5%+0.6
7.5% · 5.8%−1.8
5.5% · 4.0%−1.5
9.1% · 9.1%0
6.9% · 6.6%−0.3
6.7% · 5.1%−1.6
6.0% · 3.6%−2.3
4.9% · 2.7%−2.2
5.7% · 3.6%−2
1,317
Y-DNA · People on the map
1,255 of them have a branch of the tree; relatives with one ancestor at one place count as one, 1,296 such votes
81%
Y-DNA · SNP-confirmed
that many have the branch confirmed by an SNP test, the rest predicted from STRs
751
mtDNA · People on the map
746 of them have a branch of the tree; relatives with one ancestor at one place count as one, 745 such votes
90%
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-P312 +5.1
gap to YFull · Y
the Y branch whose share differs most between the two companies: FTDNA 17.7%, YFull 22.8%
32% / 10%
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 34.0 branchings from the root, an FTDNA kit 26.9
10%
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.
18%
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.
28%
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.
0.49
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.

+12
Y-DNA, FTDNA
new kits, 2026-10-09 → 2026-11-12
+10
mtDNA, FTDNA
new kits, 2026-10-12 → 2026-11-11
+7
Y-DNA, YFull
new samples as of 2026-11-02
+2
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

Subregions #

Each bar is all the kits of one place; a colour is a group of haplogroups. The “Italy” 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-P312R1a-M198rest of RJ2arest of JE-CTS5856rest of EIGother
Italy no region 6,033
Sicily 123

mtDNA

H1H5rest of HU5rest of UTHVJKother
Italy no region 2,966
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
Chieti IT-CH 28 5 J-M172 J2 36%, J-FGC11 J1-FGC11 21%, R-Z195 R1b-Z195 11%
Reggio Calabria IT-RC 22 5 E-M35 E1b1b-M35 14%, G-M406 G2a-M406 14%, J-M304 J 14%
La Spezia IT-SP 21 15 R-L2 R1b-L2 38%, G-P15 G2a 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.

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.

Italy Bell Beaker culture and Neolithic Scandinavian: 36.4% Bell Beaker culture and Neolithic Scandinavian ≈ 2,200–2,500 BCE 36%? 64%
Italy Bell Beaker culture and Neolithic Scandinavian Bell Beaker culture and Neolithic Scandinavian · R1b: 29.5% R1b Bell Beaker culture and Neolithic Scandinavian: R1b → R1b 26.2% Bell Beaker culture and Neolithic Scandinavian: R1b → R1b 1.8% Bell Beaker culture and Neolithic Scandinavian: R1b → R1b 1.5% Bell Beaker culture and Neolithic Scandinavian · G2a: 0.3% Bell Beaker culture and Neolithic Scandinavian: G2a → G2a 0.3% Bell Beaker culture and Neolithic Scandinavian · I1: 1.5% Bell Beaker culture and Neolithic Scandinavian: I1 → I1 1.5% Bell Beaker culture and Neolithic Scandinavian · R1a: 3.6% R1a Bell Beaker culture and Neolithic Scandinavian: R1a → R1a 2.5% Bell Beaker culture and Neolithic Scandinavian: R1a → R1a 0.8% Bell Beaker culture and Neolithic Scandinavian: R1a → R1a 0.3% Bell Beaker culture and Neolithic Scandinavian · I2b: 0.5% Bell Beaker culture and Neolithic Scandinavian: I2b → I2b 0.3% Bell Beaker culture and Neolithic Scandinavian: I2b → I2b 0.2% Bell Beaker culture and Neolithic Scandinavian · I2: 0.3% Bell Beaker culture and Neolithic Scandinavian: I2 → I2 0.3% R1b 33% E1b1b 12% J2a 12% G2a 9% J1 5% J2 5% I1 4% R1a 4% … 17%
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: 492 samples by Y-DNA and 323 samples by mtDNA. The oldest: 31,200 BCE, Gravettian.

Roman people 68 · Bronze Age Italian 48 · Medieval Italian 48 · Etruscan civilization 35 · Phoenicians 32

All ancient samples →

Data on this page: FamilyTreeDNA Y tree, 12 November 2026: 6,033 kits; FamilyTreeDNA mtDNA tree, 11 November 2026: 2,966 kits; YFull Y tree, 2 November 2026: 426 samples; YFull mtDNA tree, 2 November 2026: 193 samples.

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

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