Early Modern Period (1400–2000 AD) distance calculator
Paste your Global25 coordinates and rank your closest populations of the Early Modern Period (1400–2000 AD): 44 curated reference populations including Central Albanian (1630 AD), European Roma (1500-1700 AD) and Armenian (1700-1800 AD), scored by Euclidean distance across all 25 dimensions. Free, no account, runs in your browser.
44 reference populations
No account needed
Free · runs in your browser
Reference populations of the Early Modern Period (1400–2000 AD)
44 curated reference populations — the same era panel the paid Global25 Distance report is computed against. Each enters the ranking as one composed population-average coordinate.
- Central Albanian (1630 AD)
- European Roma (1500-1700 AD)
- Armenian (1700-1800 AD)
- Northern Croat (1450–1500 AD)
- Dalmatian Croat (1400-1450 AD)
- North Albanian (1550 AD)
- South Albanian (1420 AD)
- Dane (1400-1800 AD)
- English (1850 AD)
- Estonian (1400-1600 AD)
- Faroese (1600 AD)
- Finnish (1400-1850 AD)
- Western French (1800 AD)
- Alpine French (1650 AD)
- Franco-Swiss
- Georgian (1550 AD)
- North German (1400 AD)
- German (1550-1850 AD)
- Cretan Greek (1941 AD)
- Hungarian (1450 AD)
- Hungary Hunyadi-Corvinus (1480 AD)
- Pomeranian (1500-1700 AD)
- Polish (1550 AD)
- Transylvanian Hungarian (1550 D)
- Volga-Oka Russian (1400-1800 AD)
- Serbian (1450-1550 AD)
- Rome Italian (1400–1650 AD)
- Italy Italo-Germanic (1400-1500 AD)
- Sardinian (1450 AD)
- Latvian (1600 AD)
- Lithuanian (1550 AD)
- Lithuania Napoleon Army (AD 1812)
- Ukrainian Cossack Slav (1700 AD)
- Ukraine Western Nogai (1450 AD)
- Ukraine Eastern Nogai (1450 AD)
- Swede (1600-1750 AD)
- Swiss German (1780)
- Aegean Ottoman Turk (1400-1550 AD)
- Turkey Oghuz TUrkic (1450-1550 AD)
- Turkey Northwest Anatolian (1550 AD)
- Turkey Eastern Anatolian (1450–1550 AD)
- Romanian (1580 AD)
- Flemish (1400-1800 BC)
- Portuguese (1750-1850 AD)
About this panel
This panel holds 44 curated reference populations of the Early Modern Period (1400–2000 AD), each entering the ranking as one composed Global25 coordinate row — a population average over its member samples, not an individual. It is the same era panel the paid Global25 Distance report is computed against; the populations listed above are public, read-only reference data.
The score is plain Euclidean distance: for each of the 25 dimensions, take the difference between your value and the population's, square it, sum the 25 squares and take the square root. Every population in the panel is scored that way and the list is sorted, closest first. There is no weighting and nothing fitted — the same input always gives the same ranking.
The limit to keep in view: a distance ranking cannot reject anything, and 'closest' is always relative to this panel — being nearest to a Early Modern Period (1400–2000 AD) population says where you sit among the samples of that window, not that you descend from them. Populations a little further down the list are often statistically indistinguishable from the top one. For a method with a p-value that can test a model and refuse it, see our qpAdm analysis.
Frequently asked questions
What does the Early Modern Period (1400–2000 AD) distance calculator do?
It ranks your pasted Global25 coordinate against 44 curated reference populations of the Early Modern Period (1400–2000 AD) — the same era panel the paid Global25 report is computed against — by plain Euclidean distance across all 25 dimensions, closest first.
How do I use it?
Paste your Global25 coordinate row — a label followed by 25 comma-separated numbers — and run the ranking with this era preselected. Everything runs in your browser: the coordinate you paste is not uploaded and nothing is stored on our servers.
Is it free?
Yes — this calculator, and every in-browser tool in the Ancestrify Lab, is free and needs no account.
Does a small distance prove descent?
No. A population can sit close to you because you genuinely share ancestry with it, or because it is itself a mixture that averages out near your point — and neighbouring rank positions are often statistically indistinguishable. For a method with a p-value that can actually test a model, see our qpAdm analysis.
Other eras
Every era panel runs in the same G25 distance calculator — comparing your ranking across eras is where the interesting part starts.