Modern and ancient African analyze (by Erik Svensson) - ExploreYourDNA Calculator

Ethiopia_4500BP_Mota,0.046667,-0.573773,0.05242,0.003553,-0.004924,-0.024263,-0.170621,0.149302,-0.1039,-0.013121,0.007957,0.004196,-0.016353,0.000688,-0.020222,0.015115,0.007693,0.038133,-0.063226,0.005503,0.001622,-0.003957,0.006532,-0.00482,-0.003952
Malawi_8100BP_Hora,0.031869,-0.56956,0.031301,-0.006783,-0.008925,0.013945,-0.279883,0.258451,-0.125169,0.014214,0.008931,-0.027426,-0.002973,-0.005367,0.015744,-0.024529,0.024408,0.119468,-0.187291,0.018509,-0.006988,0.004204,-0.006286,-0.003735,0.005389
South_Africa_2000BP_BallitoBay,0.021626,-0.56956,0.02753,-0.015181,-0.001846,0.028447,-0.344047,0.315909,-0.160143,0.009476,0.019162,-0.046307,0.001041,-0.004404,0.029858,-0.034739,0.041697,0.219803,-0.31575,0.034642,-0.01435,0.007666,-0.012325,-0.001084,0.007664
Kenya_EarlyPastoral_3000BP,0.050651,-0.407227,0.0132,-0.001454,-0.014464,-0.003347,-0.096353,0.082266,-0.069436,-0.017768,0.005034,-0.000299,-0.008399,-0.000344,-0.009433,0.013126,0.005476,0.02103,-0.032681,0.005253,0.000811,-0.00408,0.002835,-0.001687,0.001916
Tanzania_Luxmanda_3100BP,0.054635,-0.355434,0.006788,-0.007106,-0.01908,-0.001952,-0.0846,0.066459,-0.055836,-0.019317,0.004547,-0.004196,-0.005203,0.000826,-0.004886,0.009944,0.00691,-0.002407,-0.012318,0.004127,0.002496,-0.002968,0.003944,-0.000843,0.001437
Yoruba,0.048303,-0.631522,0.020527,0.017405,0.000308,0.012571,-0.231946,0.220194,-0.048386,0.001859,0.006138,-0.000788,-0.000392,0.000858,-0.011672,0.011241,-0.00697,0.00115,-0.002832,0.00062,-0.000494,0.000101,0.000458,0.000116,0.00257
Mandenka,0.049405,-0.623129,0.02142,0.015245,0.001539,0.010152,-0.168383,0.160608,-0.035342,0.004483,0.004222,0.001529,-0.010436,-0.001872,-0.005103,0.005913,-0.005294,-0.000963,0.000201,-0.002551,0.000424,-0.001335,-0.00244,0.000602,-0.000575
Gambian,0.050367,-0.62252,0.021759,0.015073,0.000462,0.009483,-0.176023,0.165454,-0.039678,0.003918,0.004709,0.000699,-0.009812,-0.001927,-0.005022,0.006364,-0.006259,-0.000887,0.000377,-0.002751,0.000749,-0.001456,-0.002342,0.000602,-0.000718
Esan_Nigeria,0.047805,-0.630896,0.01961,0.01615,0.000615,0.011992,-0.237833,0.222221,-0.045199,0.002551,0.005846,-0.002398,-0.000595,-0.000275,-0.010586,0.013259,-0.006911,-0.000253,-0.002137,0.0005,0.00025,-0.000989,0.001972,0.00012,0.001317
Dinka,0.049323,-0.505733,0.045632,0.003984,-0.004514,-0.01348,-0.14445,0.13091,-0.076829,-0.014579,0.006388,0.003297,-0.013082,-0.000138,-0.013934,0.013303,0.003433,0.014696,-0.029875,0.00371,-0.000458,-0.003133,-0.000863,-0.000763,0.001996
Luhya_Kenya,0.048375,-0.609318,0.024136,0.014373,-0.002308,0.009064,-0.19835,0.187376,-0.054301,-0.003553,0.005521,0.00045,-0.004832,-0.000206,-0.011197,0.010475,-0.003618,0.005638,-0.009616,0.001938,0.000125,-0.000742,-0.001171,0.000301,0.002215
Somali,0.052737,-0.155714,-0.051917,-0.070624,-0.015695,-0.027521,-0.041517,0.034768,0.002454,-0.019559,-0.002923,0.005295,-0.008325,0.004725,-0.024565,0.016352,0.00904,0.003083,-0.006913,0.008421,0.002121,0.000866,0.005833,-0.001165,0.002195
Amhara_Ethiopia,0.049444,-0.072213,-0.047864,-0.065274,-0.018318,-0.02293,-0.023538,0.021021,-0.004574,-0.016422,-0.004207,0.004071,-0.006606,0.002107,-0.017586,0.012175,0.007635,0.000204,-0.003314,0.004948,0.002621,0.001472,0.003058,-0.001042,0.00171
Mbuti_Pygmy,0.045529,-0.609318,0.032432,0.028747,-0.007694,0.03514,-0.490089,0.470057,-0.012271,-0.012574,-0.0177,0.025253,-0.034935,0.001789,0.031216,-0.033413,0.027744,-0.05777,0.0631,-0.006378,0.003369,-0.001607,-0.000493,0.003735,-0.005029
Biaka_Pygmy,0.047113,-0.627258,0.024095,0.021024,-0.003504,0.021678,-0.347596,0.334057,-0.034156,-0.003239,-0.005612,0.011666,-0.01538,-0.000851,0.011033,-0.011241,0.009849,-0.018596,0.021208,-0.002031,0.000862,-0.000607,0.000504,0.001851,-0.000676
Hadza_Tanzania,0.036993,-0.518935,0.017347,-0.021318,-0.00677,-0.004183,-0.076846,0.063228,-0.052767,-0.033531,0.006496,0.004646,-0.024975,0.001514,-0.002172,0.007027,0.005476,-0.005574,-0.021117,0.002251,0.001497,-0.003833,0.002095,-0.001325,0.003592
Sandawe_Tanzania,0.040976,-0.52909,0.023759,-0.005168,-0.008925,0.004183,-0.124554,0.110534,-0.071993,-0.017312,0.006171,-0.007643,-0.007433,0.000826,-0.003257,0.007292,0.005476,0.025591,-0.045251,0.005753,-0.001123,-0.001978,0.00037,-0.001566,0.002275
Ju_hoan_North_San,0.018667,-0.551634,0.030999,-0.019186,-0.001847,0.028447,-0.360143,0.325909,-0.165143,0.009476,0.019162,-0.050307,0.001041,-0.004404,0.031858,-0.038739,0.045697,0.245803,-0.34575,0.036642,-0.01635,0.008666,-0.014325,-0.001084,0.008664
Khomani_San_SouthAfrica,0.020488,-0.505733,0.029415,-0.018411,-0.001539,0.023427,-0.281774,0.260528,-0.133146,0.007836,0.01494,-0.034768,0.001041,-0.003441,0.023887,-0.026783,0.032336,0.168744,-0.23782,0.025387,-0.009733,0.005812,-0.009367,-0.001205,0.006347
Xhosa_SouthAfrica,0.038699,-0.573773,0.023759,0.008075,-0.001231,0.01255,-0.222791,0.210452,-0.076492,0.00328,0.008282,-0.011689,0.000149,-0.001651,-0.002443,0.001061,0.003911,0.050676,-0.07542,0.007629,-0.003244,0.002226,-0.002588,-0.000482,0.003473

About the Modern and ancient African analyze (by Erik Svensson) calculator

Modern and ancient African analyze (by Erik Svensson) is a free Global25 ancestry calculator (Calculateur, G25, Scaled). Modern and ancient African analyze is a free Global25 (G25) ancestry calculator by Erik Svensson. It focuses on African ancestry, from Central and Southern African hunter-gatherers to West African, Bantu and East African populations. It models your coordinates with 20 reference populations, including Ethiopia 4500BP Mota, Malawi 8100BP Hora, South Africa 2000BP BallitoBay, Kenya EarlyPastoral 3000BP and Tanzania Luxmanda 3100BP. Paste your scaled G25 coordinates to get your best-fit ancestry mix, computed directly in your browser. Its reference panel holds about 20 reference populations, grouped mainly as Ethiopia 4500BP Mota, Malawi 8100BP Hora, South Africa 2000BP BallitoBay, Kenya EarlyPastoral 3000BP, Tanzania Luxmanda 3100BP, Yoruba, Mandenka, Gambian.The panel was built or amended by Erik Svensson.Last updated: October 2026.

Who it is for

People who already have their Global25 (G25) coordinates, for example from a raw DNA file converted with our G25 coordinates service, and want to see how a specific reference panel reads them. Different calculators use different panels, so the same person can get different percentages, and comparing several is more informative than trusting one.

How to read the output

Paste your coordinates, choose a run mode and start the calculation. Each result line is a reference population followed by the share of your ancestry it explains, the shares add up to 100%. Very small shares (below roughly 1 to 2%) are usually noise rather than real ancestry. The distance value tells you how well the mixture reproduces your coordinates: the lower, the better, and a high distance means this panel does not describe you well. For example, a result of "Polish 60 / Ukrainian 25 / Lithuanian 15" means your coordinates are best rebuilt from those three populations in those proportions, not that you descend from three separate groups.

Everything runs in your browser and nothing you paste is uploaded. Browse all Global25 calculators, or let the free Report Finder tell you which regional report fits your ancestry.