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Ukraine: haplogroups

FamilyTreeDNA has 4,447 kits with a Y-DNA result and 2,145 kits with mtDNA (mitochondrial DNA). On the paternal line the most common are R1a-M198 — 27%, E1b1b-M35 — 11% and I2a-CTS10228 — 11%. On the maternal line the most common are H — 36%, K1 — 13% and U — 12%. YFull has 600 samples for Y from the same area, and its mix of major branches is almost the same. The largest gap is R1a-Z282: 21% on FTDNA against 28% on YFull.

Compare with…
25.3
Y-DNA · kits per 100,000 men
rank 41 of 123 among countries. About 18 million men (UN, 2023). A kit's country is the ancestor's homeland, not where the tester lives
5.7
mtDNA · kits per 100,000 people
rank 35 of 93 among countries. About 38 million people (UN, 2023)

Paternal line · Y-DNA

4,447 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).
R
1,703 · 38.3% 28k years
R1a-M198
1,205 · 27.1% 8,500 years
Z282
949 · 21.3% 4,800 years
Z280
595 · 13.4% 4,700 years
CTS1211
407 · 9.2% 4,400 years
Y35
316 · 7.1% 4,300 years
Z92
163 · 3.7% 4,200 years
M458
347 · 7.8% 4,300 years
Z2124
154 · 3.5% 4,500 years
R1b-M269
414 · 9.3% 6,500 years
L23
337 · 7.6% 6,400 years
L51
253 · 5.7% 6,100 years
P312
139 · 3.1% 4,900 years
J
902 · 20.3% 30k years
J2
476 · 10.7% 28k years
J2a
330 · 7.4% 20k years
M67
168 · 3.8% 13k years
J1
402 · 9.0% 19k years
P58
269 · 6.0% 9,800 years
Z2313
170 · 3.8% 5,800 years
I
747 · 16.8% 35k years
I2
619 · 13.9% 25k years
I2a
517 · 11.6% 20k years
CTS10228
483 · 10.9% 3,300 years
E
556 · 12.5% 52k years
E1b1b-M35
493 · 11.1% 25k years
E-Z830
263 · 5.9% 20k years
M34
220 · 4.9% 15k years
E-M78
180 · 4.0% 15k years
G
221 · 5.0% 28k years
other
318 · 7.2%

Among the rest: N 135, Q 79, T 70, L 19, C 9, H 3, O 3.

Maternal line · mtDNA

2,145 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.
H
782 · 36.5% 11k years
H1
217 · 10.1% 7,900 years
H5'36
85 · 4.0% 8,500 years
H5
80 · 3.7% 8,400 years
K
339 · 15.8% 29k years
K1
269 · 12.5% 23k years
K1a
249 · 11.6% 11k years
K1a1b1a
157 · 7.3% 2,800 years
K1a9
57 · 2.7% 2,800 years
K2
70 · 3.3% 25k years
K2a
63 · 2.9% 14k years
U
267 · 12.4% 51k years
U5a'b
139 · 6.5% 30k years
U5a
90 · 4.2% 21k years
U5a1
59 · 2.8% 13k years
U2'3'4'7'8'9
117 · 5.5% 50k years
T
173 · 8.1% 20k years
T2
113 · 5.3% 15k years
T2b
67 · 3.1% 8,500 years
T1
60 · 2.8% 15k years
J
166 · 7.7% 35k years
J1
150 · 7.0% 28k years
J1c
135 · 6.3% 13k years
J1c-C16261T
64 · 3.0% 6,600 years
V
100 · 4.7% 7,500 years
N
77 · 3.6% 59k years
N1b1
66 · 3.1% 22k years
N1b1b1
58 · 2.7% 2,700 years
HV
74 · 3.4% 13k years
W
57 · 2.7% 12k years
other
110 · 5.1%

Among the rest: L 17, M 6, D 6, C 4, 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.

The same branches are in the tree on this page.

Ukraine: 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-S20602: 472 kits · 10.6% (95% confidence interval: 10–12%) (×11.0) 2,500 years
  • R-Z92 R1a-Z92: 163 kits · 3.7% (95% confidence interval: 3–4%) (×8.4) 4,200 years
  • R-Z280 R1a-Z280: 595 kits · 13.4% (95% confidence interval: 12–14%) (×6.1) 4,700 years
  • I-Y3548: 181 kits · 4.1% (95% confidence interval: 4–5%) (×7.3) 2,300 years
  • R-CTS1211 R1a-CTS1211: 407 kits · 9.2% (95% confidence interval: 8–10%) (×5.6) 4,400 years
  • R-CTS3402: 315 kits · 7.1% (95% confidence interval: 6–8%) (×5.6) 4,000 years
  • R-Y2604: 345 kits · 7.8% (95% confidence interval: 7–9%) (×5.5) 4,100 years
  • R-CTS11962: 203 kits · 4.6% (95% confidence interval: 4–5%) (×5.6) 3,100 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%37–43%44–54%55–92%Ukraineunder 100 kits
All 112 countries and regions by similarity
  1. Belarus 92%
  2. Poland 92%
  3. Hungary 89%
  4. Romania 87%
  5. Lithuania 86%
  6. Slovakia 86%
  7. Russia 84%
  8. Austria 81%
  9. Moldova 79%
  10. Czech Republic 78%
  11. Latvia 76%
  12. Bulgaria 75%
  13. Greece 74%
  14. Italy 67%
  15. Germany 65%
  16. Serbia 63%
  17. Croatia 62%
  18. Turkey 61%
  19. Macedonia 60%
  20. Israel 58%
  21. Slovenia 58%
  22. Bosnia and Herzegovina 56%
  23. Albania 54%
  24. Lebanon 53%
  25. Spain 53%
  26. Iran 53%
  27. Switzerland 52%
  28. Portugal 52%
  29. Azerbaijan 51%
  30. Netherlands 50%
  31. Armenia 50%
  32. France 50%
  33. Syria 50%
  34. Mordovia 49%
  35. Iraq 49%
  36. Egypt 48%
  37. Bashkortostan 48%
  38. Montenegro 47%
  39. Tatarstan 47%
  40. Brazil 46%
  41. Belgium 46%
  42. Italy (Sicily) 45%
  43. Denmark 44%
  44. Estonia 44%
  45. Palestine 43%
  46. United Kingdom 43%
  47. England 43%
  48. Mexico 43%
  49. Georgia 42%
  50. Bahrain 42%
  51. United States 42%
  52. Tunisia 41%
  53. Canada 41%
  54. Chuvashia 40%
  55. United Arab Emirates 40%
  56. Adygea 39%
  57. Kuwait 38%
  58. Qatar 38%
  59. Tajikistan 38%
  60. Puerto Rico 38%
  61. Jordan 38%
  62. Luxembourg 38%
  63. Uzbekistan 38%
  64. Afghanistan 38%
  65. Kazakhstan 38%
  66. Saudi Arabia 37%
  67. Sweden 36%
  68. Dagestan 36%
  69. Algeria 35%
  70. Wales 35%
  71. Morocco 35%
  72. Colombia 35%
  73. Argentina 34%
  74. Cuba 34%
  75. Scotland 34%
  76. United States (Native American) 33%
  77. Pakistan 33%
  78. Australia 33%
  79. South Africa 33%
  80. Yemen 32%
  81. Norway 31%
  82. Chile 29%
  83. India 29%
  84. Ireland 29%
  85. Oman 29%
  86. Libya 29%
  87. Dominican Republic 29%
  88. Sudan 27%
  89. Northern Ireland 27%
  90. Karelia 27%
  91. Peru 24%
  92. England (Cornish) 23%
  93. Finland 23%
  94. Jamaica 23%
  95. Chechnya 22%
  96. Sri Lanka 19%
  97. New Zealand 17%
  98. Iceland 17%
  99. Somalia 13%
  100. Ingushetia 12%
  101. Indonesia 11%
  102. China 11%
  103. Isle of Man 10%
  104. Mongolia 9%
  105. Philippines 8%
  106. Cameroon 8%
  107. Orstkhoy (Aosta Valley in FTDNA) 8%
  108. Nigeria 5%
  109. South Korea 5%
  110. Japan 5%
  111. Ghana 4%
  112. Vietnam 3%

Ukraine: 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.

  • H40b: 13 kits · 0.6% (95% confidence interval: 0–1%) (×13.0)
  • V7b: 12 kits · 0.6% (95% confidence interval: 0–1%) (×13.3)
  • HV5a: 17 kits · 0.8% (95% confidence interval: 0–1%) (×11.1)
  • H7e: 19 kits · 0.9% (95% confidence interval: 1–1%) (×9.6)
  • H3p: 14 kits · 0.7% (95% confidence interval: 0–1%) (×10.6)
  • H26c: 10 kits · 0.5% (95% confidence interval: 0–1%) (×11.7)
  • N1b: 66 kits · 3.1% (95% confidence interval: 2–4%) (×6.2)
  • I1c: 13 kits · 0.6% (95% confidence interval: 0–1%) (×8.8)

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.

1–32%33–54%55–72%73–76%77–92%Ukraineunder 100 kits
All 71 countries and regions by similarity
  1. Poland 92%
  2. Russia 90%
  3. Lithuania 88%
  4. Hungary 88%
  5. Belarus 88%
  6. Austria 87%
  7. Romania 86%
  8. Slovakia 83%
  9. Germany 82%
  10. Czech Republic 82%
  11. Latvia 80%
  12. England 78%
  13. Sweden 77%
  14. Italy 77%
  15. United Kingdom 76%
  16. France 76%
  17. Switzerland 76%
  18. United States 76%
  19. Netherlands 76%
  20. Scotland 75%
  21. Ireland 74%
  22. Moldova 74%
  23. Norway 74%
  24. Belgium 74%
  25. Denmark 73%
  26. Wales 73%
  27. Estonia 72%
  28. Greece 72%
  29. Croatia 72%
  30. Bulgaria 71%
  31. Canada 70%
  32. Slovenia 70%
  33. Northern Ireland 69%
  34. Bosnia and Herzegovina 68%
  35. Serbia 68%
  36. Portugal 67%
  37. Finland 65%
  38. Australia 64%
  39. Turkey 62%
  40. Spain 62%
  41. United States (Native American) 58%
  42. Chechnya 56%
  43. Armenia 54%
  44. Syria 53%
  45. Israel 51%
  46. Algeria 50%
  47. Lebanon 50%
  48. Morocco 41%
  49. New Zealand 41%
  50. Iraq 41%
  51. Egypt 41%
  52. Iran 38%
  53. Saudi Arabia 36%
  54. South Africa 34%
  55. United Arab Emirates 34%
  56. Brazil 33%
  57. Cuba 32%
  58. Kuwait 32%
  59. Argentina 24%
  60. India 21%
  61. Mexico 19%
  62. Dominican Republic 18%
  63. Puerto Rico 15%
  64. Canada (First Nations) 12%
  65. China 9%
  66. Jamaica 8%
  67. Chile 6%
  68. Colombia 6%
  69. Japan 4%
  70. South Korea 2%
  71. Philippines 1%
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

4,447
FTDNA
kits
600
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
R R-M207
38.3% · 41.3%+3
R1a-M198 R-M198
27.1% · 29.5%+2.4
Z282 R-Z282
21.3% · 27.5%+6.2
Z2124 R-Z2124
3.5% · 2.0%−1.5
R1b-M269 R-M269
9.3% · 10.7%+1.4
L23 R-L23
7.6% · 8.8%+1.3
J J-M304
20.3% · 16.2%−4.1
J2 J-M172
10.7% · 10.5%−0.2
J2a J-M410
7.4% · 8.0%+0.6
J1 J-M267
9.0% · 5.7%−3.4
P58 J-P58
6.0% · 4.8%−1.2
I I-L758
16.8% · 17.2%+0.4
I2 I-P215
13.9% · 13.7%−0.3
I2a I-P37
11.6% · 11.7%0
E E-M96
12.5% · 11.2%−1.3
E1b1b-M35 E-M35
11.1% · 10.7%−0.4
E-Z830 E-CTS10298
5.9% · 7.3%+1.4
E-M78
4.0% · 3.0%−1
G G-M201
5.0% · 4.0%−1

mtDNA

2,145
FTDNA
kits
278
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
H
36.5% · 40.3%+3.8
H1
10.1% · 10.1%0
H5'36
4.0% · 2.5%−1.4
H5
3.7% · 1.8%−1.9
K
15.8% · 5.8%−10
K1
12.5% · 4.7%−7.9
K1a
11.6% · 3.6%−8
K2
3.3% · 1.1%−2.2
K2a
2.9% · 0.7%−2.2
U
12.4% · 19.1%+6.6
U5a'b
6.5% · 7.9%+1.4
U5a
4.2% · 5.4%+1.2
U2'3'4'7'8'9
5.5% · 11.2%+5.7
T
8.1% · 9.7%+1.6
T2
5.3% · 6.8%+1.6
T2b
3.1% · 4.7%+1.6
T1
2.8% · 2.9%+0.1
J
7.7% · 9.4%+1.6
J1
7.0% · 6.8%−0.2
J1c
6.3% · 5.4%−0.9
V
4.7% · 2.2%−2.5
N
3.6% · 2.9%−0.7
N1b1
3.1% · 1.4%−1.6
N1b1b1
2.7% · 0.4%−2.3
HV
3.4% · 2.2%−1.3
W
2.7% · 3.2%+0.6

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 4,447 · Projects 2,593

FTDNAProjects
FTDNA · Projects · Δ
R R-M207
38.3% · 39.9%+1.6
R1a-M198 R-M198
27.1% · 29.6%+2.5
Z282 R-Z282
21.3% · 23.8%+2.4
Z280 R-Z280
13.4% · 14.3%+0.9
CTS1211 R-CTS1211
9.2% · 9.7%+0.5
R1b-M269 R-M269
9.3% · 8.9%−0.4
J J-M304
20.3% · 14.7%−5.6
J2 J-M172
10.7% · 8.8%−1.9
I I-L758
16.8% · 21.4%+4.6
I2 I-P215
13.9% · 17.2%+3.3
I2a I-P37
11.6% · 15.2%+3.6
CTS10228 I-CTS10228
10.9% · 12.5%+1.7
E E-M96
12.5% · 12.0%−0.5
E1b1b-M35 E-M35
11.1% · 11.1%0

mtDNA FTDNA 2,145 · Projects 1,124

FTDNAProjects
FTDNA · Projects · Δ
H
36.5% · 37.1%+0.6
H1
10.1% · 7.5%−2.6
K
15.8% · 15.1%−0.7
K1
12.5% · 8.5%−4.1
K1a
11.6% · 8.1%−3.5
K1a1b1a
7.3% · 5.4%−1.9
U
12.4% · 11.8%−0.6
U5a'b
6.5% · 5.2%−1.2
U2'3'4'7'8'9
5.5% · 4.9%−0.6
T
8.1% · 8.1%0
T2
5.3% · 5.5%+0.2
J
7.7% · 8.3%+0.5
J1
7.0% · 5.9%−1.1
J1c
6.3% · 5.2%−1.1
2,793
Y-DNA · People on the map
2,593 of them have a branch of the tree; relatives with one ancestor at one place count as one, 2,695 such votes
81%
Y-DNA · SNP-confirmed
that many have the branch confirmed by an SNP test, the rest predicted from STRs
1,124
mtDNA · People on the map
1,124 of them have a branch of the tree; relatives with one ancestor at one place count as one, 1,119 such votes
97%
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-Z282 +6.2
gap to YFull · Y
the Y branch whose share differs most between the two companies: FTDNA 21.3%, YFull 27.5%
34% / 18%
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 37.3 branchings from the root, an FTDNA kit 31.4
18%
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.
30%
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.
54%
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.
0.48
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.

+26
Y-DNA, FTDNA
new kits, 2026-10-09 → 2026-11-12
+12
mtDNA, FTDNA
new kits, 2026-10-12 → 2026-11-11
+11
Y-DNA, YFull
new samples as of 2026-11-02
+4
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
Vinnyts'ka Oblast' UA-05 48 23 R-Z282 R1a-Z282 33%, I-CTS10228 I2a-CTS10228 13%, J-M102 J2b 10%
Poltavs'ka Oblast' UA-53 46 16 R-Z282 R1a-Z282 41%, I-CTS10228 I2a-CTS10228 13%, N-CTS2929 N-CTS2929 9%
L'vivs'ka Oblast' UA-46 42 22 R-Z282 R1a-Z282 17%, G-PF5721 G2b 12%, R-L51 R1b-L51 10%
Volyns'ka Oblast' UA-07 33 9 R-Z282 R1a-Z282 27%, I-CTS10228 I2a-CTS10228 12%, R-L51 R1b-L51 9%
Kyivs'ka Oblast' UA-32 29 20 R-Z280 R1a-Z280 14%, E-M35 E1b1b-M35 14%, J-L858 J1-L858 10%
Chernihivs'ka Oblast' UA-74 29 14 R-Z280 R1a-Z280 31%, R-M458 R1a-M458 17%, T-M184 T 10%
Khmel'nyts'ka Oblast' UA-68 29 6 I-CTS10228 I2a-CTS10228 21%, R-Z280 R1a-Z280 10%, R-M12149 R1b-Z2103 (M12149) 10%
Ternopil's'ka Oblast' UA-61 27 9 R-Y35 R1a-Y35 19%, I-CTS10228 I2a-CTS10228 19%, E-M35 E1b1b-M35 11%
Sums 'ka Oblast' UA-59 23 12 N-CTS2929 N-CTS2929 26%, R-Y35 R1a-Y35 17%, R-Z92 R1a-Z92 13%
Cherkas'ka Oblast' UA-71 23 11 R-M198 R1a-M198 39%, R-M269 R1b-M269 13%, J-M410 J2a 13%
Kiev UA-30 23 9 I-CTS10228 I2a-CTS10228 13%, E-M35 E1b1b-M35 13%, J-L25 J2a-L25 13%
Ivano-Frankivs'ka Oblast' UA-26 23 5 R-Y35 R1a-Y35 26%, E-M35 E1b1b-M35 13%, J-M67 J2a-M67 13%
Kharkivs'ka Oblast' UA-63 21 18 R-Z280 R1a-Z280 29%, N-CTS2929 N-CTS2929 19%, R-M269 R1b-M269 14%
Odes'ka Oblast' UA-51 21 12 R-P312 R1b-P312 14%, R-Z282 R1a-Z282 14%, E-M34 E-M34 14%
Dnipropetrovs'ka Oblast' UA-12 18 20 I-CTS10228 I2a-CTS10228 28%, I-DF29 I1-DF29 17%, R-Y35 R1a-Y35 17%
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 23 3.3 7.1 unlikely by chance p < 0.001
Belarus 18 2.4 7.6 unlikely by chance p < 0.001
Lithuania 14 2.7 5.2 unlikely by chance p < 0.001
Russia 12 1.8 6.6 unlikely by chance p < 0.001
Germany 8 2.1 3.8 unlikely by chance p = 0.001
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=240

Most frequent combinations

Y × mt: line combinations · Most frequent combinations
Y mt pairs expected by chance × chance?
I2a-CTS10228 H1b 4 1.5 2.74 could be chance p = 0.042
I2a-CTS10228 U5a 4 1.5 2.74 could be chance p = 0.042
G2b K1a 3 0.5 6.05 unlikely by chance p = 0.009
I2a-CTS10228 H13a 3 0.4 6.86 unlikely by chance p = 0.003
I2a-CTS10228 H1c 3 1.2 2.57 could be chance p = 0.095
R1a-Y35 K1c 3 0.6 5.33 could be chance p = 0.011

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.

Ukraine Corded Ware and Fatyanovo–Balanovo culture: 37.2% Corded Ware and Fatyanovo–Balanovo culture ≈ 2,000–2,600 BCE 37% 63%
Ukraine Corded Ware and Fatyanovo–Balanovo culture Corded Ware and Fatyanovo–Balanovo culture · R1a: 24.8% R1a Corded Ware and Fatyanovo–Balanovo culture: R1a → R1a 11.2% Corded Ware and Fatyanovo–Balanovo culture: R1a → R1a 9.7% Corded Ware and Fatyanovo–Balanovo culture: R1a → R1a 3.0% Corded Ware and Fatyanovo–Balanovo culture: R1a → R1a 1.0% Corded Ware and Fatyanovo–Balanovo culture · I2a: 1.0% Corded Ware and Fatyanovo–Balanovo culture: I2a → I2a 1.0% Corded Ware and Fatyanovo–Balanovo culture · R1b: 7.3% R1b Corded Ware and Fatyanovo–Balanovo culture: R1b → R1b 4.9% Corded Ware and Fatyanovo–Balanovo culture: R1b → R1b 2.3% Corded Ware and Fatyanovo–Balanovo culture · N: 2.8% Corded Ware and Fatyanovo–Balanovo culture: N → N 2.8% Corded Ware and Fatyanovo–Balanovo culture · I1: 0.6% Corded Ware and Fatyanovo–Balanovo culture: I1 → I1 0.6% Corded Ware and Fatyanovo–Balanovo culture · I2: 0.2% Corded Ware and Fatyanovo–Balanovo culture: I2 → I2 0.2% R1a 27% I2a 12% E1b1b 11% R1b 10% J1 9% J2a 7% N 3% … 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.

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: 207 samples by Y-DNA and 83 samples by mtDNA. The oldest: 35,000 BCE, Gravettian.

Scythians 33 · Cucuteni–Trypillia culture 32 · Mariupol culture 22 · Neolithic Eastern European 17 · Mesolithic Hunter-Gatherer 15

All ancient samples →

Data on this page: FamilyTreeDNA Y tree, 12 November 2026: 4,447 kits; FamilyTreeDNA mtDNA tree, 11 November 2026: 2,145 kits; YFull Y tree, 2 November 2026: 600 samples; YFull mtDNA tree, 2 November 2026: 278 samples.

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

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