---
title: "Steppe (Yamnaya) ancestry percentage: how to measure"
description: "Who the Western Steppe Herders were, how steppe ancestry spread across Europe and Asia after 3000 BC, what a 'steppe percentage' actually measures, and how to estimate yours with qpAdm or Global25 from a raw DNA file."
canonical: https://www.ancestrify.io/blog/how-to-measure-steppe-ancestry-percentage
date: 2026-08-28
updated: 2026-10-10
author: "Ancestrify"
---

# Steppe (Yamnaya) ancestry percentage: how to measure

"How much steppe ancestry do I have?" is the most-asked quantitative question in consumer ancient
DNA, and the one most often answered with a number that means less than it looks. This guide covers
who the steppe populations were, what a "steppe percentage" actually measures, and how to estimate
yours defensibly from the raw file you already have.

## Who the Western Steppe Herders were

Between roughly 3300 and 2600 BC the Pontic-Caspian steppe — the grassland belt from the Danube
delta to the Ural river — was home to the **Yamnaya** culture: mobile pastoralists who buried their
dead under earth mounds (kurgans), used ox-drawn wagons, and herded cattle, sheep and horses across
open country. Genetically, Yamnaya people were themselves a mixture: roughly half Eastern
Hunter-Gatherer ancestry from the forest-steppe to the north, and half ancestry related to the
Caucasus and Iran, with a smaller farmer-related component. That profile is what the term
**Western Steppe Herder** (WSH) names in the reference panels, and its source-population page is
at [Western Steppe Herders, 5000–2800 BC](/ancestry/western-steppe-herder-5000-2800-bc-2). The
archaeology and genetics are told at length in
[Yamnaya DNA: where steppe ancestry came from](/blog/yamnaya-dna-steppe-origins).

## How steppe ancestry spread

Two 2015 papers — Haak and colleagues in *Nature*, and Allentoft and colleagues in the same journal
— showed that after about 3000 BC this steppe profile appears across a huge area where it had been
absent: in the Corded Ware cultures of central and northern Europe, then in Bell Beaker groups as
far as Britain and Iberia, and eastward into the Afanasievo culture of the Altai. In Britain,
Olalde and colleagues (2018) found that the arrival of Beaker-associated people replaced roughly
90% of the earlier gene pool within a few centuries.

The share that arrived varied by region and then changed again with later movements. As a rough
picture from the published literature, steppe-related ancestry today is highest in northern and
north-eastern Europe, intermediate across central Europe, the British Isles and the Balkans, and
lowest in the Mediterranean south — Sardinia in particular retains very little. Southern Asia carries
a steppe-related component that arrived by a separate route through Central Asia in the second
millennium BC (Narasimhan et al., 2019). None of these are fixed numbers, and the point of running
the analysis is to measure your own file rather than to look up a country.

## What a "steppe percentage" actually measures

This is the part to read before the number.

A steppe percentage is the **weight assigned to a steppe-related source population in a specific
admixture model**. Change the model and the number changes — not because your genome changed but
because the question did. Four things decide it:

1. **Which population stands in for "steppe".** Yamnaya from Samara, Yamnaya from the Caspian
   shore, Afanasievo and Corded Ware are all steppe-related, but they are not identical, and a model
   built on one will give a different weight from a model built on another.
2. **Which other sources are offered.** Steppe ancestry is measured *against* the alternatives —
   typically an Anatolian-farmer source and a hunter-gatherer source in the earliest era. Offer a
   later, already-mixed population as a source and part of your steppe share is absorbed into it.
3. **Which outgroups the model is tested against** (in qpAdm). The right set decides whether the
   sources can be told apart at all.
4. **How much of your file survives the merge.** Coverage sets the standard error; a steppe weight of
   0.31 ± 0.03 is a finding, 0.31 ± 0.12 is a range from a fifth to almost a half.

So a defensible steppe figure is always "X% ± Y, with these sources, against these outgroups, in
this era" — and two figures from two products with different models are not in disagreement, they
are different measurements.

## Measuring it with qpAdm

Formal admixture modelling is the method the papers above used, and it is the one that can tell you
whether a three-way farmer–steppe–hunter-gatherer model is even admissible for your genome. In
[Ancient Ancestry](/qpadm), our qpAdm analysis, your raw file is merged with the Allen Ancient DNA Resource v66 and
modelled in two eras, with every published model approved by a person; the Hunter-Gatherer &
Neolithic Farmer era is where the steppe
component is resolved most cleanly, because its sources — Western Steppe Herders, Anatolian
Neolithic farmers, Western and Eastern Hunter-Gatherers — are genuinely distinct.

The report prints, for every source, the weight, its standard error, its z-score and its 95%
confidence interval, plus the model's p-value, the complete right set and the model record
(chi-square, degrees of freedom, SNP counts, every panel label) on screen. Reading those four numbers in the right order is the
subject of [How to read qpAdm results](/blog/how-to-read-qpadm-p-value-z-score-standard-error).
The buyer-level overview is [What is a qpAdm ancestry test?](/qpadm).
The [Ancestry Workbench](/workbench) lets you swap the steppe proxy yourself and watch the
weight move, the most instructive thing you can do with the number.

## Measuring it with Global25

If you hold Global25 coordinates, the same three-way structure can be fitted as a coordinate
mixture. The free [admixture calculator](/lab/admixture) does this in your browser against curated
per-era source panels; [Ancestry Map](/g25), our paid Global25 analysis, builds a calculator around
your row from the curated panels and prints every source it was offered, used and unused. The
coordinate method always returns a percentage and has no p-value, so the panel you fit against
matters even more: see [qpAdm vs Global25](/blog/qpadm-vs-global25) for when each is the right
instrument, and [Understanding Global25](/blog/understanding-global25) for reading a fit distance.

## Reading your number honestly

- **Compare within one model, not across products.** Your steppe weight is comparable with the
  same model run on another file, not with a different calculator's output.
- **Do not read a small steppe weight as zero.** Check its z-score. A 6% weight with |Z| = 1.1 is
  indistinguishable from nothing; a 6% weight with |Z| = 4 is real.
- **Do not read a large steppe weight as identity.** The Yamnaya were one population in one
  millennium; a 40% steppe-related weight means your genome is compatible with drawing that share of
  ancestry from a population *like* them. It is not a claim that any particular buried steppe
  individual was related to you, and it says nothing about language or nationality.
- **Expect regional plausibility, not surprise.** A result far outside the published range for
  people of your background is a reason to check the model before believing the number.

## Where to go next

The two components steppe ancestry is measured against have their own guides:
[Hunter-gatherer ancestry](/blog/hunter-gatherer-ancestry-test) and
[Neolithic farmer ancestry](/blog/neolithic-farmer-ancestry-explained). The terms are in the
[glossary](/glossary). And if you have a raw file and no idea whether it is dense enough to resolve
the split, the free [Raw DNA File Check](/lab/file-check) will say so before you spend anything.

## References

- Haak, W. et al. (2015). Massive migration from the steppe was a source for Indo-European
  languages in Europe. *Nature*, 522, 207–211.
- Allentoft, M. E. et al. (2015). Population genomics of Bronze Age Eurasia. *Nature*, 522,
  167–172.
- Olalde, I. et al. (2018). The Beaker phenomenon and the genomic transformation of northwest
  Europe. *Nature*, 555, 190–196.
- Narasimhan, V. M. et al. (2019). The formation of human populations in South and Central Asia.
  *Science*, 365, eaat7487.
- Lazaridis, I. et al. (2022). The genetic history of the Southern Arc: a bridge between West Asia
  and Europe. *Science*, 377, eabm4247.