Insights · Nose · Measurement

Nasal index

Alar width divided by nasal height (sellion to subnasale), × 100.

Confidence
Tier B · wide interval
Unit
index (×100)
Landmarks
al_R, al_L, n, sn
CI floor
± 3
100 × alarWidth / dist(n, sn)
Measure yours
Illustration · on your scan the same lines are drawn on your own photo

How to read it

Below the mean

the nose is narrow relative to its height for the reference group (toward the leptorrhine band).

Near the mean

nasal index sits close to the reference mean.

Above the mean

the nose is wide relative to its height for the reference group (toward the platyrrhine band). Reference means differ by nearly 30 index points across populations — this is among the most population-specific of all facial proportions, which is exactly why a single "ideal" is meaningless.

Caveat

Nasal height is a vertical measure and is foreshortened by pitch; alar width is inflated at short camera distance. Both errors push the index the same direction, so read it with the capture panel.

Reference values by population

Reference populationFemale (mean ± SD)Male (mean ± SD)nSource
North American White62.055 ± 5.463.686 ± 5.962326Farkas 1994/2005 (NA White young adults) prov.
East Asian74.737 ± 7.0776.238 ± 6.71618Farkas 2005 (Chinese/Japanese/Vietnamese/Thai pooled); Jayaratne 2012 (Southern Chinese, n=103) prov.
South Asian69.792 ± 6.4870.874 ± 6.699210Farkas 2005 (Indian); Metgudmath 2022 prov.
African / African diaspora82.474 ± 8.05184.466 ± 8.178300Farkas 2005 (African-American, Zulu, Angolan) prov.
Middle Eastern63.725 ± 5.79864.545 ± 5.972348Farkas 2005 (Turkish, Iranian, Egyptian); Al-Sebaei 2015 (Saudi, n=168) prov.
Hispanic / Latino70.833 ± 6.67871.845 ± 6.886120Farkas 2005 (Mexican-American) prov.
Not specified — show pooled70.468 ± 8.88471.755 ± 8.9763922Unweighted pool of the six groups above prov.
Where these numbers come from

Transcribed from the cited anthropometric literature; SDs of ratios are propagated conservatively (independence assumed). Entries marked prov. await line-by-line audit against the primary tables — see the norm provenance note.

Why every value has an error bar

Every value Canthion reports carries a 1σ uncertainty propagated from MediaPipe Face Mesh's published accuracy (3.96% of inter-ocular distance mean absolute error per landmark, Kartynnik 2019). For a typical 300 px inter-pupil photo that is ≈12 px per landmark, which is why small ratios and angles get wide intervals. A number without an interval is a number pretending to be more precise than it is.

References

Related: how bone-level measurements are taken from a photo · methodology · all insights