Dinka DNA
Genetic origins and closest populations · South Sudan · Sub-Saharan Africa
The Dinka, who call themselves Jieng, are the largest people of South Sudan, cattle herders of the plains and wetlands along the White Nile, including the vast Sudd swamp. Their language belongs to the Western Nilotic branch of the Nilo-Saharan family, alongside Nuer, Shilluk and Luo. Because our global model uses the Dinka average itself as its Nilotic East African reference, the page shows 100.0% Nilotic by construction, a technical result rather than a statement about Dinka history. Across our atlas, that same reference measures Nilotic-related ancestry in peoples from Sudan to Kenya, such as the Kalenjin (84.0%) and the Maasai (77.9%). The neighbours are the informative part: the closest modern averages are a Nilotic sample from Sudan (0.0088), the Anuak of western Ethiopia, South Sudanese and the Shilluk, then the Nuer. Ancient genomes from the region are scarce, so the closest ancient group, from Kakapel in western Kenya around 1050 AD, is far away (0.0783).
- Reference population for the Nilotic East African component in our model (100.0% by construction)
- Closest modern population in our data: Sudanese (Nilotic sample), distance 0.0088
- Closest ancient group in our data: Kenya High Medieval Kakapel 900BP, distance 0.0783
Where does Dinka DNA sit on the genetic map of the world? To answer, we take the averaged Global25 (G25) coordinates of the Dinka individuals sampled in South Sudan and compare them with deep ancestral reference populations, with other modern groups and with ancient genomes. It is one of 335 populations in our atlas.
Ancient make-up of the Dinka average
Dinka is itself one of the reference populations of this model: the Dinka average is what the model uses for the Nilotic East African component, so it comes out as 100.0% Nilotic East African by construction. That figure says nothing about how old, how mixed or how uniform Dinka ancestry is; it only shows where the model's yardstick for this part of the world comes from.
The informative part of this page is the comparison below: which modern populations and which ancient genomes sit closest to the Dinka average.
Sankofa – African Ancestry Report
Closest modern populations to Dinka
Among the modern populations in the G25 data, the closest to the Dinka average is Sudanese (Nilotic sample), at a distance of 0.009 (very close). Next come Anuak (Ethiopia) at 0.011 and South Sudanese at 0.011. By the tenth closest (Dangaleat) the distance grows to 0.047, a common pattern for a population that shares ancestry with its neighbours while keeping a profile of its own.
| # | Population | Distance | Closeness |
|---|---|---|---|
| 1 | Sudanese (Nilotic sample) | 0.0088 | Very close |
| 2 | Anuak (Ethiopia) | 0.0112 | Very close |
| 3 | South Sudanese | 0.0113 | Very close |
| 4 | Shilluk | 0.0120 | Very close |
| 5 | Nuer | 0.0213 | Very close |
| 6 | Bari | 0.0274 | Close |
| 7 | Nuba | 0.0388 | Close |
| 8 | Nuba (Koalib) | 0.0405 | Close |
| 9 | Maba | 0.0429 | Close |
| 10 | Dangaleat | 0.0468 | Close |
Distances are Euclidean distances between averaged G25 coordinates. On our scale, below 0.025 is very close, below 0.050 close, below 0.080 moderate, and beyond that distant.
Closest ancient populations to Dinka
Among ancient genomes, the closest match to the modern Dinka average is Kenya High Medieval Kakapel 900BP (c. 1050 AD), at 0.078, followed by Abkhazia Late Modern Tkhina (Chari River Profile) and Kenya IA Deloraine. That is only a moderate match: part of the modern profile was already present then, but later movements of people added substantial layers. A close ancient match is not proof of direct descent: it means those individuals carried a similar overall mix of ancestry.
| # | Ancient sample or group | Period | Distance |
|---|---|---|---|
| 1 | Kenya High Medieval Kakapel 900BP | c. 1050 AD | 0.0783 |
| 2 | Abkhazia Late Modern Tkhina (Chari River Profile) | Late Modern, c. 1800-1950 AD | 0.1039 |
| 3 | Kenya IA Deloraine | Iron Age | 0.1157 |
| 4 | Kenya Late Medieval-Early Modern Makwasinyi Swahili | Late Medieval to Early Modern, c. 1300-1800 AD | 0.1210 |
| 5 | Italy Sicily High Medieval Segesta Muslim (Chari River Profile) | High Medieval, c. 1000-1300 AD | 0.1223 |
| 6 | Ethiopia LSA Mota 4500BP | c. 2550 BC | 0.1309 |
| 7 | Kenya Early Modern Kakapel 300BP | c. 1650 AD | 0.1320 |
| 8 | Tanzania Early Modern Songo Mnara Swahili (Swahili-Mixed Profile) | Early Modern, c. 1500-1800 AD | 0.1471 |
| 9 | Kenya LSA Jawuoyo | Later Stone Age | 0.1566 |
| 10 | Tanzania Pemba 600BP | c. 1350 AD | 0.1614 |
Compare yourself with Dinka
Paste your G25 coordinates (scaled, one line, with or without a name in front) and we compute your genetic distance to the Dinka average and to its closest neighbours, right in your browser. Nothing is uploaded or stored.
| # | Population | Your distance | Closeness |
|---|
This list only covers Dinka and its neighbours. To find out which of our reports actually fits your DNA, run the free Report Finder: it runs the same fit test that every report uses before an order.
No G25 coordinates yet? Get a free simulated G25 from your raw DNA file, or order G25 coordinates.
About these numbers
Keep in mind that a population average is a statistical summary of a limited number of sampled individuals. Real people inside any group vary, some carry more of one ancestry and some less, and no genetic profile decides who is or is not Dinka. Use these numbers as a map of deep ancestry, not as a label.
Method: averaged G25 coordinates, Euclidean distances to other modern and ancient averages, and a non-negative least-squares model against deep ancestral reference populations (data generated 2026-10-01). Read the full method.
Go deeper than the average
This page describes the Dinka average. Your own DNA has its own story: Sankofa – African Ancestry Report (15€) models your genome against the ancient sources and modern communities of the region, era by era, in a personal PDF report.
A report built for people of predominantly Sub-Saharan African (SSA) ancestry: modelling against 230+ regional African populations (West, Central, East & Southern Africa, the Horn of Africa, Madagascar) plus the European, Amerindian and...
More populations from Sub-Saharan Africa
Frequently asked questions
What is the ancient genetic make-up of Dinka?
Dinka is itself one of the reference populations of our make-up model: the Dinka average is what the model uses for the Nilotic East African component, so its make-up is Nilotic East African by construction. The closest modern and ancient populations on this page describe it better than that figure.
Which populations are genetically closest to Dinka?
In the G25 data, the closest modern populations to the Dinka average are Sudanese (Nilotic sample), Anuak (Ethiopia) and South Sudanese. The closest ancient matches are Kenya High Medieval Kakapel 900BP, Abkhazia Late Modern Tkhina (Chari River Profile) and Kenya IA Deloraine.
Can a DNA test tell me if I am Dinka?
No DNA test can confirm an ethnicity or a nationality. What DNA can show is how similar your genome is to the sampled Dinka average and to its neighbours. If you have G25 coordinates, paste them in the comparison box on this page to check that for free.
Which ExploreYourDNA report suits Dinka ancestry?
Sankofa – African Ancestry Report is the report built for this heritage, and its reference panel fits the Dinka average closely. Your own DNA may differ from the average, so the free Report Finder checks every report against your file before you buy.
Where does the data on this page come from?
From the averaged Global25 (G25) coordinates of the sampled individuals: genetic distances to other modern and ancient population averages, and a non-negative least-squares model against deep ancestral reference populations. The full method is described at https://www.exploreyourdna.com/populations#method.