Swahili DNA
Genetic origins and closest populations · Kenya and Tanzania · Sub-Saharan Africa
The Swahili are the people of the East African coast and islands, from southern Somalia to Mozambique, whose stone towns such as Lamu, Mombasa, Kilwa and Zanzibar grew rich on Indian Ocean trade. Kiswahili is a Bantu language with many Arabic loanwords, now spoken by tens of millions across East Africa. Using a Kenyan Swahili average, our model finds 47.6% West African, 38.3% Nilotic East African, 6.1% Levantine Neolithic, 4.6% Western rainforest forager (BiAka), 1.7% Southern African forager and 1.7% Caucasus hunter-gatherer. The small Near Eastern-related share fits ancient DNA from medieval Swahili towns, which shows local African ancestry joined by people from Southwest Asia from around 1000 AD. Here the best match is ancient, not modern: Late Medieval to Early Modern Swahili from Makwasinyi in Kenya (0.0255). Among modern averages, the closest are the Hutu (0.0327) and the Wasambaa and Wabondei of northeastern Tanzania.
- Largest ancient components in our model: West African 47.6%, Nilotic East African 38.3%, Levantine Neolithic farmers 6.1%
- Closest modern population in our data: Hutu, distance 0.0327
- Closest ancient group in our data: Kenya Late Medieval-Early Modern Makwasinyi Swahili, distance 0.0255
This page sums up what the DNA of the Swahili sample tells us about deep origins. It is built from the averaged Global25 (G25) coordinates of individuals sampled in Kenya and Tanzania, listed in the G25 sheet as "Swahili_Kenya", and it is one of 335 populations in our atlas. An average describes the group as a whole, not any single person in it.
Ancient make-up of the Swahili average
The ancient make-up of the Swahili average is led by West African (47.6%), followed by Nilotic East African (38.3%) and Levantine Neolithic farmers (6.1%). The West African component reflects ancestry from sub-Saharan Africa. The Nilotic East African share (38.3%) reflects ancestry found in East African populations.
Smaller traces of Western rainforest foragers (BiAka), Southern African foragers (San) and Caucasus hunter-gatherers (under 5% each) also appear. At that level they can reflect real minor ancestry, but also simple model noise, so they should not be over-read. The fit is acceptable (fit distance 0.032): treat the proportions as a good approximation rather than exact values. This population was modelled with a global set of reference populations (ancient genomes, plus modern stand-ins where no suitable ancient genome exists), because West Eurasian sources alone cannot describe it.
Sankofa – African Ancestry Report
Closest modern populations to Swahili
Among the modern populations in the G25 data, the closest to the Swahili average is Hutu, at a distance of 0.033 (close). Next come Wasambaa at 0.039 and Wabondei at 0.052. By the tenth closest (Luhya) the distance grows to 0.067, a common pattern for a population that shares ancestry with its neighbours while keeping a profile of its own.
| # | Population | Distance | Closeness |
|---|---|---|---|
| 1 | Hutu | 0.0327 | Close |
| 2 | Wasambaa | 0.0394 | Close |
| 3 | Wabondei | 0.0519 | Moderate |
| 4 | Mijikenda (Kauma) | 0.0534 | Moderate |
| 5 | Mada | 0.0595 | Moderate |
| 6 | Mzigua | 0.0600 | Moderate |
| 7 | Luo (Kenya) | 0.0609 | Moderate |
| 8 | Luhya (Kenya) | 0.0665 | Moderate |
| 9 | Kenyan (Bantu) | 0.0665 | Moderate |
| 10 | Luhya | 0.0665 | Moderate |
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 Swahili
Looking back in time, the ancient sample that most resembles the Swahili average is Kenya Late Medieval-Early Modern Makwasinyi Swahili (Late Medieval to Early Modern, c. 1300-1800 AD), at 0.026. Italy Sicily High Medieval Segesta Muslim (Chari River Profile) and Kenya IA Deloraine come next. That is a close match: much of the modern profile was already present then, while later movements of people added further 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 Late Medieval-Early Modern Makwasinyi Swahili | Late Medieval to Early Modern, c. 1300-1800 AD | 0.0255 |
| 2 | Italy Sicily High Medieval Segesta Muslim (Chari River Profile) | High Medieval, c. 1000-1300 AD | 0.0504 |
| 3 | Kenya IA Deloraine | Iron Age | 0.0513 |
| 4 | Abkhazia Late Modern Tkhina (Chari River Profile) | Late Modern, c. 1800-1950 AD | 0.0519 |
| 5 | Tanzania Early Modern Songo Mnara Swahili (Swahili-Mixed Profile) | Early Modern, c. 1500-1800 AD | 0.0522 |
| 6 | Kenya Early Modern Kakapel 300BP | c. 1650 AD | 0.0643 |
| 7 | Tanzania Pemba 600BP | c. 1350 AD | 0.0768 |
| 8 | Tanzania Early Modern Lindi Swahili (Bantu Zone P Profile) | Early Modern, c. 1500-1800 AD | 0.0830 |
| 9 | Uganda Munsa 500BP | c. 1450 AD | 0.0883 |
| 10 | Saint Helena Late Modern Rupert's Valley (Central/Southern African Bantu Profile) | Late Modern, c. 1800-1950 AD | 0.0891 |
Ancient DNA from Kenya and Tanzania
Our ancient DNA database holds 139 individuals excavated in present-day Kenya and Tanzania, dated from about 16,550 BC to 1877 AD. The most frequent Y-DNA haplogroups among them are E1b (36), J1a (14) and A1b (4), and the most frequent mtDNA haplogroups are L3 (52), L0 (27) and L2 (17). These are people who lived on the same land in the past, not necessarily ancestors of today's Swahili population.
Most frequent Y-DNA haplogroups
Ancient DNA studies on Kenya and Tanzania
- Contemporary hominin locomotor diversity (2024)
- Footprint evidence for locomotor diversity and shared habitats among early Pleistocene hominins (2024)
Browse them in our ancient DNA database: 112 from Kenya, 27 from Tanzania.
Compare yourself with Swahili
Paste your G25 coordinates (scaled, one line, with or without a name in front) and we compute your genetic distance to the Swahili average and to its closest neighbours, right in your browser. Nothing is uploaded or stored.
| # | Population | Your distance | Closeness |
|---|
This list only covers Swahili 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 Swahili. 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 Swahili 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 Swahili?
Modelled with deep ancestral reference populations, the Swahili average is about 47.6% West African, 38.3% Nilotic East African and 6.1% Levantine Neolithic farmers. These proportions are model estimates for a group average, not exact values for any one person.
Which populations are genetically closest to Swahili?
In the G25 data, the closest modern populations to the Swahili average are Hutu, Wasambaa and Wabondei. The closest ancient matches are Kenya Late Medieval-Early Modern Makwasinyi Swahili, Italy Sicily High Medieval Segesta Muslim (Chari River Profile) and Kenya IA Deloraine.
Can a DNA test tell me if I am Swahili?
No DNA test can confirm an ethnicity or a nationality. What DNA can show is how similar your genome is to the sampled Swahili 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 Swahili ancestry?
Sankofa – African Ancestry Report is the report built for this heritage, and its reference panel fits the Swahili 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.