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Poland: haplogroups

FamilyTreeDNA has 7,410 kits with a Y-DNA result and 4,405 kits with mtDNA (mitochondrial DNA). On the paternal line the most common are R1a-M198 — 37%, R1b-L51 — 11% and I2 — 8%. On the maternal line the most common are H — 40%, U — 15% and K1 — 9%. YFull has 1,210 samples for Y from the same area, and its mix of major branches is almost the same. The largest gap is R1a-Z282: 29% on FTDNA against 44% on YFull.

Compare with…
39.4
Y-DNA · kits per 100,000 men
rank 28 of 123 among countries. About 19 million men (UN, 2023). A kit's country is the ancestor's homeland, not where the tester lives
11.4
mtDNA · kits per 100,000 people
rank 19 of 93 among countries. About 39 million people (UN, 2023)

Mitotree, the mt tree of FTDNA Discover, has about 987 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

7,410 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).
3,860 · 52.1% 28k years
2,713 · 36.6% 8,500 years
2,165 · 29.2% 4,800 years
1,122 · 15.1% 4,300 years
988 · 13.3% 4,700 years
795 · 10.7% 4,400 years
669 · 9.0% 4,300 years
1,047 · 14.1% 6,500 years
924 · 12.5% 6,400 years
782 · 10.6% 6,100 years
363 · 4.9% 5,000 years
346 · 4.7% 4,900 years
1,070 · 14.4% 30k years
556 · 7.5% 28k years
367 · 5.0% 20k years
474 · 6.4% 19k years
319 · 4.3% 9,800 years
1,043 · 14.1% 35k years
596 · 8.0% 25k years
419 · 5.7% 20k years
324 · 4.4% 3,300 years
442 · 6.0% 20k years
340 · 4.6% 4,500 years
660 · 8.9% 52k years
577 · 7.8% 25k years
293 · 4.0% 20k years
230 · 3.1% 15k years
297 · 4.0% 28k years
257 · 3.5% 23k years
243 · 3.3% 14k years
other
223 · 3.0%

Among the rest: Q 112, T 79, C 18, L 6, H 3, P 2, O 2, F 1.

Maternal line · mtDNA

4,405 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.
1,758 · 39.9% 11k years
587 · 13.3% 7,900 years
148 · 3.4% 5,300 years
139 · 3.2%
115 · 2.6% 5,100 years
168 · 3.8% 8,400 years
126 · 2.9%
119 · 2.7% 8,000 years
668 · 15.2% 51k years
U5a'b
324 · 7.4% 30k years
191 · 4.3% 21k years
116 · 2.6% 13k years
133 · 3.0% 25k years
U2'3'4'7'8'9
310 · 7.0% 50k years
146 · 3.3% 22k years
479 · 10.9% 29k years
386 · 8.8% 23k years
335 · 7.6% 11k years
204 · 4.6% 11k years
181 · 4.1% 2,800 years
377 · 8.6% 20k years
284 · 6.4% 15k years
171 · 3.9% 8,500 years
311 · 7.1% 35k years
268 · 6.1% 28k years
226 · 5.1% 13k years
154 · 3.5% 13k years
153 · 3.5% 7,500 years
132 · 3.0% 12k years
115 · 2.6% 59k years
other
258 · 5.9%

Among the rest: L 30, C 21, M 15, D 8, G 5, B 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.

Poland: 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-YP256: 475 kits · 6.4% (95% confidence interval: 6–7%) (×15.5) 2,300 years
  • R-L260: 612 kits · 8.3% (95% confidence interval: 8–9%) (×13.8) 2,800 years
  • R-Y2604: 1,093 kits · 14.8% (95% confidence interval: 14–16%) (×10.4) 4,100 years
  • R-CTS11962: 479 kits · 6.5% (95% confidence interval: 6–7%) (×8.0) 3,100 years
  • R-CTS3402: 668 kits · 9.0% (95% confidence interval: 8–10%) (×7.2) 4,000 years
  • R-CTS1211 R1a-CTS1211: 795 kits · 10.7% (95% confidence interval: 10–11%) (×6.6) 4,400 years
  • R-Y33: 325 kits · 4.4% (95% confidence interval: 4–5%) (×7.5) 3,900 years
  • R-YP237: 241 kits · 3.3% (95% confidence interval: 3–4%) (×7.8) 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.

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

Poland: 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.

  • H11b: 35 kits · 0.8% (95% confidence interval: 1–1%) (×9.5)
  • H7e: 33 kits · 0.7% (95% confidence interval: 1–1%) (×8.1)
  • HV1b: 56 kits · 1.3% (95% confidence interval: 1–2%) (×6.5)
  • N1b: 98 kits · 2.2% (95% confidence interval: 2–3%) (×4.5)
  • I1c: 20 kits · 0.5% (95% confidence interval: 0–1%) (×6.6)
  • H40b: 14 kits · 0.3% (95% confidence interval: 0–1%) (×6.8)
  • C5c: 13 kits · 0.3% (95% confidence interval: 0–1%) (×6.4)
  • HV5a: 18 kits · 0.4% (95% confidence interval: 0–1%) (×5.7)

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.

0–34%35–56%57–74%75–83%84–92%Polandunder 100 kits
All 71 countries and regions by similarity
  1. Russia 92%
  2. Ukraine 92%
  3. Germany 90%
  4. Hungary 89%
  5. Austria 89%
  6. Czech Republic 88%
  7. Lithuania 87%
  8. Slovakia 86%
  9. England 85%
  10. Sweden 85%
  11. United Kingdom 84%
  12. Belarus 83%
  13. United States 83%
  14. Romania 83%
  15. Netherlands 83%
  16. France 83%
  17. Switzerland 83%
  18. Scotland 82%
  19. Norway 81%
  20. Ireland 81%
  21. Italy 81%
  22. Latvia 81%
  23. Denmark 79%
  24. Belgium 79%
  25. Wales 78%
  26. Canada 78%
  27. Estonia 76%
  28. Northern Ireland 75%
  29. Croatia 74%
  30. Slovenia 73%
  31. Bulgaria 73%
  32. Greece 72%
  33. Portugal 71%
  34. Serbia 71%
  35. Finland 70%
  36. Bosnia and Herzegovina 70%
  37. Moldova 69%
  38. Australia 69%
  39. Spain 67%
  40. Turkey 63%
  41. United States (Native American) 63%
  42. Chechnya 56%
  43. Armenia 56%
  44. Algeria 53%
  45. Syria 52%
  46. Israel 50%
  47. Lebanon 50%
  48. Morocco 45%
  49. Iraq 42%
  50. New Zealand 42%
  51. Iran 40%
  52. Egypt 40%
  53. Saudi Arabia 38%
  54. South Africa 36%
  55. Cuba 35%
  56. Brazil 35%
  57. United Arab Emirates 34%
  58. Kuwait 33%
  59. Argentina 24%
  60. India 22%
  61. Dominican Republic 21%
  62. Mexico 20%
  63. Puerto Rico 17%
  64. Canada (First Nations) 13%
  65. China 9%
  66. Jamaica 9%
  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

7,410
FTDNA
kits
1,210
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
R R-M207
52.1% · 60.2%+8.2
R1a-M198 R-M198
36.6% · 45.9%+9.3
Z282 R-Z282
29.2% · 44.1%+14.9
R1b-M269 R-M269
14.1% · 14.3%+0.2
L23 R-L23
12.5% · 14.0%+1.5
J J-M304
14.4% · 7.8%−6.7
J2 J-M172
7.5% · 5.6%−1.9
J2a J-M410
5.0% · 4.2%−0.7
J1 J-M267
6.4% · 2.1%−4.2
P58 J-P58
4.3% · 2.1%−2.2
I I-L758
14.1% · 16.9%+2.8
I2 I-P215
8.0% · 9.4%+1.4
I2a I-P37
5.7% · 6.9%+1.2
I1 I-M253
6.0% · 7.4%+1.5
DF29 I-DF29
4.6% · 7.0%+2.4
E E-M96
8.9% · 7.1%−1.8
E1b1b-M35 E-M35
7.8% · 7.1%−0.7
E-Z830 E-CTS10298
4.0% · 2.6%−1.4
3.1% · 4.5%+1.4
G G-M201
4.0% · 2.1%−1.9
N N-M231
3.5% · 3.9%+0.4
N1a-M178 N-M178
3.3% · 3.8%+0.5

mtDNA

4,405
FTDNA
kits
452
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
39.9% · 38.3%−1.6
13.3% · 11.7%−1.6
3.4% · 4.4%+1.1
3.2% · 3.8%+0.6
3.8% · 4.0%+0.2
2.9% · 2.9%0
2.7% · 2.4%−0.3
15.2% · 20.8%+5.6
U5a'b
7.4% · 10.8%+3.5
4.3% · 6.6%+2.3
3.0% · 4.2%+1.2
U2'3'4'7'8'9
7.0% · 9.1%+2
3.3% · 5.8%+2.4
10.9% · 7.1%−3.8
8.8% · 6.2%−2.6
7.6% · 3.5%−4.1
8.6% · 9.7%+1.2
6.4% · 7.5%+1.1
3.9% · 4.0%+0.1
7.1% · 8.2%+1.1
6.1% · 6.6%+0.6
5.1% · 6.0%+0.8
3.5% · 2.0%−1.5
3.5% · 3.3%−0.2
3.0% · 3.8%+0.8
2.6% · 1.8%−0.8

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 7,410 · Projects 3,434

FTDNAProjects
FTDNA · Projects · Δ
R R-M207
52.1% · 54.3%+2.2
R1a-M198 R-M198
36.6% · 38.1%+1.5
Z282 R-Z282
29.2% · 28.8%−0.4
M458 R-M458
15.1% · 14.4%−0.8
Z280 R-Z280
13.3% · 13.7%+0.4
CTS1211 R-CTS1211
10.7% · 10.5%−0.2
Y35 R-Y35
9.0% · 9.2%+0.2
R1b-M269 R-M269
14.1% · 15.6%+1.5
L23 R-L23
12.5% · 12.3%−0.2
L51 R-L51
10.6% · 10.4%−0.2
J J-M304
14.4% · 9.8%−4.6
I I-L758
14.1% · 16.9%+2.9
I2 I-P215
8.0% · 8.5%+0.4
E E-M96
8.9% · 8.2%−0.7

mtDNA FTDNA 4,405 · Projects 1,805

FTDNAProjects
FTDNA · Projects · Δ
39.9% · 39.3%−0.6
13.3% · 9.6%−3.7
15.2% · 15.3%+0.1
U5a'b
7.4% · 5.7%−1.7
U2'3'4'7'8'9
7.0% · 7.3%+0.3
10.9% · 12.0%+1.1
8.8% · 7.5%−1.2
7.6% · 6.1%−1.5
4.6% · 3.8%−0.9
8.6% · 7.8%−0.7
6.4% · 5.4%−1
7.1% · 6.5%−0.5
6.1% · 4.2%−1.9
5.1% · 3.7%−1.5
3,740
Y-DNA · People on the map
3,434 of them have a branch of the tree; relatives with one ancestor at one place count as one, 3,690 such votes
78%
Y-DNA · SNP-confirmed
that many have the branch confirmed by an SNP test, the rest predicted from STRs
1,805
mtDNA · People on the map
1,805 of them have a branch of the tree; relatives with one ancestor at one place count as one, 1,799 such votes
93%
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 +14.9
gap to YFull · Y
the Y branch whose share differs most between the two companies: FTDNA 29.2%, YFull 44.1%
34% / 19%
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 39.5 branchings from the root, an FTDNA kit 32.6
19%
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.
31%
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.
45%
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.
0.59
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.

+47
Y-DNA, FTDNA
new kits, 2026-10-09 → 2026-11-12
+13
mtDNA, FTDNA
new kits, 2026-10-12 → 2026-11-11
+12
Y-DNA, YFull
new samples as of 2026-11-02
+3
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
Mazowieckie PL-14 205 61 R-Z282 R1a-Z282 50%, R-L51 R1b-L51 17%, I-DF29 I1-DF29 8%
Podlaskie PL-20 132 25 R-Z282 R1a-Z282 47%, R-L51 R1b-L51 11%, I-DF29 I1-DF29 7%
Podkarpackie PL-18 108 48 R-Z282 R1a-Z282 30%, R-L23 R1b-L23 20%, I-P215 I2 15%
Wielkopolskie PL-30 97 31 R-Z282 R1a-Z282 46%, I-DF29 I1-DF29 10%, R-L51 R1b-L51 9%
Malopolskie PL-12 95 45 R-Z282 R1a-Z282 48%, R-L51 R1b-L51 8%, I-CTS10228 I2a-CTS10228 7%
Lubelskie PL-06 82 35 R-Z282 R1a-Z282 52%, I-CTS10228 I2a-CTS10228 9%, I-CTS616 I2b-CTS616 5%
Slaskie PL-24 66 30 R-Z282 R1a-Z282 44%, I-P215 I2 21%, R-L51 R1b-L51 14%
Lodzkie PL-10 54 26 R-Z282 R1a-Z282 39%, J-M67 J2a-M67 9%, R-U152 R1b-U152 7%
Kujawsko-pomorskie PL-04 54 18 R-Z282 R1a-Z282 48%, R-L23 R1b-L23 30%, J-M304 J 6%
Pomorskie PL-22 42 16 R-Z282 R1a-Z282 40%, E-V13 E-V13 10%, R-U106 R1b-U106 7%
Swietokrzyskie PL-26 36 22 R-Z282 R1a-Z282 61%, R-U106 R1b-U106 8%, I-DF29 I1-DF29 8%
Warminsko-mazurskie PL-28 27 8 R-L51 R1b-L51 22%, R-Y35 R1a-Y35 19%, I-P215 I2 15%
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?
Ukraine 23 3.3 7.1 unlikely by chance p < 0.001
Belarus 17 2.6 6.6 unlikely by chance p < 0.001
Lithuania 17 3.0 5.8 unlikely by chance p < 0.001
Germany 12 2.3 5.2 unlikely by chance p < 0.001
Czech Republic 7 0.89 7.8 unlikely by chance p < 0.001
Hungary 7 1.1 6.5 unlikely by chance p < 0.001
Romania 6 0.76 7.9 unlikely by chance p < 0.001
Russia 6 2.0 3.0 unlikely by chance p = 0.013
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=479

Notably above chance

Y × mt: line combinations · Notably above chance
Y mt pairs expected by chance × chance?
R1a-Y35 H2a 6 2.0 2.94 unlikely by chance p = 0.007

Most frequent combinations

Y × mt: line combinations · Most frequent combinations
Y mt pairs expected by chance × chance?
R1a-M458 J1c 10 7.3 1.37 could be chance p = 0.168
R1a-M458 U5a 9 7.1 1.27 could be chance p = 0.257
R1a-M458 U5b 9 5.0 1.82 could be chance p = 0.037
R1a-Y35 U5a 8 5.6 1.44 could be chance p = 0.173
R1a-M458 U4a 6 4.3 1.41 could be chance p = 0.232
R1a-Y35 H2a 6 2.0 2.94 unlikely by chance p = 0.007
R1a-Y35 U4a 6 3.3 1.79 could be chance p = 0.097
R1a-Y35 H1c 5 4.7 1.08 could be chance p = 0.510

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.

Poland Corded Ware and Fatyanovo–Balanovo culture: 55.7% Corded Ware and Fatyanovo–Balanovo culture ≈ 2,000–2,600 BCE 56% 44%
Poland Corded Ware and Fatyanovo–Balanovo culture Corded Ware and Fatyanovo–Balanovo culture · R1a: 35.2% R1a Corded Ware and Fatyanovo–Balanovo culture: R1a → R1a 16.2% Corded Ware and Fatyanovo–Balanovo culture: R1a → R1a 13.6% Corded Ware and Fatyanovo–Balanovo culture: R1a → R1a 3.6% Corded Ware and Fatyanovo–Balanovo culture: R1a → R1a 1.8% Corded Ware and Fatyanovo–Balanovo culture · R1b: 12.4% R1b Corded Ware and Fatyanovo–Balanovo culture: R1b → R1b 8.1% Corded Ware and Fatyanovo–Balanovo culture: R1b → R1b 4.3% Corded Ware and Fatyanovo–Balanovo culture · I1: 2.2% Corded Ware and Fatyanovo–Balanovo culture: I1 → I1 2.2% Corded Ware and Fatyanovo–Balanovo culture · I2a: 1.3% Corded Ware and Fatyanovo–Balanovo culture: I2a → I2a 1.3% Corded Ware and Fatyanovo–Balanovo culture · N: 3.4% Corded Ware and Fatyanovo–Balanovo culture: N → N 3.4% Corded Ware and Fatyanovo–Balanovo culture · I2b: 0.6% Corded Ware and Fatyanovo–Balanovo culture: I2b → I2b 0.3% Corded Ware and Fatyanovo–Balanovo culture: I2b → I2b 0.3% Corded Ware and Fatyanovo–Balanovo culture · I2: 0.2% Corded Ware and Fatyanovo–Balanovo culture: I2 → I2 0.2% R1a 37% R1b 15% E1b1b 8% J1 6% I1 6% I2a 6% J2a 5% N 3% … 14%
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.

Other eras: Early Middle Ages — Roman Age Pannonian 15%.

Ancient samples

From excavations on this territory: 313 samples by Y-DNA and 148 samples by mtDNA. The oldest: 113,980 BCE, NM1.

Early Slavs 136 · Wielbark culture 56 · Trzciniec culture 30 · Chalcolithic Eastern European 12 · Corded Ware culture 12

All ancient samples →

Data on this page: FamilyTreeDNA Y tree, 12 November 2026: 7,410 kits; FamilyTreeDNA mtDNA tree, 11 November 2026: 4,405 kits; YFull Y tree, 2 November 2026: 1,210 samples; YFull mtDNA tree, 2 November 2026: 452 samples.

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

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