The Oromo are Ethiopia's largest people, living across the centre, west and south of the country and into northern Kenya. Afaan Oromo is a Cushitic language, related to Somali, and Oromo society is known for the Gadaa system, a traditional form of self-government by age grades recognised by UNESCO. A major Oromo expansion in the 16th century spread the language across much of present-day Ethiopia. In our model, the Oromo average is 49.5% Nilotic East African, 45.2% Natufian, 2.5% Iranian Neolithic, 1.5% Caucasus hunter-gatherer and 1.3% San. That puts the Oromo between the Amhara (52.3% Natufian) and the Somali (54.5% Nilotic), and the neighbours follow language more than borders: after another Oromo sample (0.0131), the closest modern averages are three Somali samples (0.0303 to 0.0352), while the Amhara come only tenth (0.0559). The closest ancient groups are Pastoral Neolithic herders from Kenya and Tanzania, led by the Elmenteitan culture (0.0317).

  • Largest ancient components in our model: Nilotic East African 49.5%, Natufian hunter-gatherers (Levant) 45.2%, Iranian Neolithic farmers 2.5%
  • Closest other population in our data: Somali (Somaliland), distance 0.0303
  • Closest ancient group in our data: Kenya Pastoral N Elmenteitan, distance 0.0317

Oromo is one of the 335 modern populations in our population genetics atlas. The numbers on this page describe the average Global25 (G25) genome of the Oromo individuals sampled in Ethiopia, listed in the G25 sheet as "Ethiopian_Oromo". Like every population average, it smooths over a lot of variation between individuals.

Ancient make-up of the Oromo average

Nilotic East African
49.5%
Natufian hunter-gatherers (Levant)
45.2%
Iranian Neolithic farmers
2.5%
Caucasus hunter-gatherers
1.5%
Southern African foragers (San)
1.3%

Modelled as a mix of deep ancestral reference populations, the Oromo average comes out as 49.5% Nilotic East African, 45.2% Natufian hunter-gatherers (Levant) and 2.5% Iranian Neolithic farmers. The Nilotic East African component reflects ancestry found in East African populations. The Natufian hunter-gatherers (Levant) share (45.2%) reflects the early farmers of the Levant and the Natufian foragers who came before them.

Smaller traces of Iranian Neolithic farmers, Caucasus hunter-gatherers and Southern African foragers (San) (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 loose (fit distance 0.045), which usually means that none of the available reference populations is a close stand-in for part of this ancestry, so read the percentages as rough. 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.

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Closest modern populations to Oromo

Ranking every modern population by genetic distance puts Oromo (Ethiopia) first for Oromo, at 0.013, then Somali (Somaliland) and Somali. By the tenth closest (Amhara) the distance grows to 0.056, a common pattern for a population that shares ancestry with its neighbours while keeping a profile of its own.

#PopulationDistanceCloseness
1 Oromo (Ethiopia) 0.0131 Very close
2 Somali (Somaliland) 0.0303 Close
3 Somali 0.0327 Close
4 Somali (Somalia) 0.0352 Close
5 Ethiopian (Wolayta) 0.0408 Close
6 Somali (Ethiopia) 0.0423 Close
7 Sudan Arab (Kababish) 0.0471 Close
8 Beta Israel (Ethiopian Jew) 0.0492 Close
9 Afar (Ethiopia) 0.0516 Moderate
10 Amhara 0.0559 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 Oromo

If we search ancient DNA for the best match to Oromo, Kenya Pastoral N Elmenteitan (Neolithic) comes first, at 0.032, with Tanzania Pastoral N 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 groupPeriodDistance
1 Kenya Pastoral N Elmenteitan Neolithic 0.0317
2 Tanzania Pastoral N Neolithic 0.0369
3 Kenya Pastoral N Neolithic 0.0391
4 Tanzania Luxmanda 3000BP c. 1050 BC 0.0404
5 Kenya Pastoral N Hyrax Hill 2300BP c. 350 BC 0.0451
6 Kenya Early Pastoral N Neolithic 0.0518
7 Kenya Pastoral N Lukenya Hill 3500BP c. 1550 BC 0.0527
8 Kenya Pastoral N Molo Cave 1500BP c. 450 AD 0.0734
9 Sudan Nubia Early Medieval Christian Era Kulubnarti R Early Medieval, c. 500-1000 AD 0.0740
10 Sudan Nubia Early Medieval Christian Era Kulubnarti S Early Medieval, c. 500-1000 AD 0.0847

Ancient DNA from Ethiopia

Our ancient DNA database holds 1 individual excavated in present-day Ethiopia. The most frequent Y-DNA haplogroups among them are E1b (1), and the most frequent mtDNA haplogroups are L3 (1). These are people who lived on the same land in the past, not necessarily ancestors of today's Oromo population.

Most frequent Y-DNA haplogroups

HaplogroupIndividualsExamples
E1b 1 I5950

Most frequent mtDNA haplogroups

HaplogroupIndividualsExamples
L3 1 I5950

Ancient DNA studies on Ethiopia

Browse them in our ancient DNA database: 1 from Ethiopia.

Compare yourself with Oromo

Paste your G25 coordinates (scaled, one line, with or without a name in front) and we compute your genetic distance to the Oromo average and to its closest neighbours, right in your browser. Nothing is uploaded or stored.

No G25 coordinates yet? Get a free simulated G25 from your raw DNA file, or order G25 coordinates.

About these numbers

A word of caution: these figures describe the average of the Oromo individuals who were sampled, not every person who identifies as Oromo. Individuals vary around that average, and identity is about history, language and family, not about a genetic score. Read this page as a map of deep ancestry, not as a definition.

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 Oromo 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...

Frequently asked questions

What is the ancient genetic make-up of Oromo?

Modelled with deep ancestral reference populations, the Oromo average is about 49.5% Nilotic East African, 45.2% Natufian hunter-gatherers (Levant) and 2.5% Iranian Neolithic farmers. These proportions are model estimates for a group average, not exact values for any one person.

Which populations are genetically closest to Oromo?

In the G25 data, the closest modern populations to the Oromo average are Oromo (Ethiopia), Somali (Somaliland) and Somali. The closest ancient matches are Kenya Pastoral N Elmenteitan, Tanzania Pastoral N and Kenya Pastoral N.

Can a DNA test tell me if I am Oromo?

No DNA test can confirm an ethnicity or a nationality. What DNA can show is how similar your genome is to the sampled Oromo 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 Oromo ancestry?

Sankofa – African Ancestry Report is the report built for this heritage, and its reference panel fits the Oromo 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.

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