Insights · Jaw · Measurement

Bigonial : bizygomatic width

Width of the lower face at the jaw angles divided by the widest facial width.

Confidence
Tier B · wide interval
Unit
ratio (dimensionless)
Landmarks
go_R, go_L, zy_R, zy_L
CI floor
± 0.04
dist(go_R, go_L) / dist(zy_R, zy_L)
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Illustration · on your scan the same lines are drawn on your own photo

How to read it

Below the mean

the lower face tapers markedly relative to the cheekbones for the reference group.

Near the mean

jaw width relative to cheek width sits close to the reference mean (~0.70–0.75).

Above the mean

the lower face is comparatively wide relative to the cheekbones for the reference group.

Caveat

Both landmarks are on the soft-tissue silhouette, not bone. Bigonial breadth from a 2D photo differs from direct measurement by 9.3 mm on average (Lim 2022) despite high repeatability. What is measured is the masseter + fat envelope, and it shifts with yaw. This is why the gonial angle itself is given as its photographic equivalent (jaw taper & definition) rather than in degrees.

Reference values by population

Reference populationFemale (mean ± SD)Male (mean ± SD)nSource
North American White0.698 ± 0.0530.698 ± 0.0492326Farkas 1994/2005 (NA White young adults) prov.
East Asian0.728 ± 0.0530.731 ± 0.05618Farkas 2005 (Chinese/Japanese/Vietnamese/Thai pooled); Jayaratne 2012 (Southern Chinese, n=103) prov.
South Asian0.711 ± 0.0540.721 ± 0.053210Farkas 2005 (Indian); Metgudmath 2022 prov.
African / African diaspora0.705 ± 0.0530.707 ± 0.051300Farkas 2005 (African-American, Zulu, Angolan) prov.
Middle Eastern0.707 ± 0.0530.71 ± 0.051348Farkas 2005 (Turkish, Iranian, Egyptian); Al-Sebaei 2015 (Saudi, n=168) prov.
Hispanic / Latino0.71 ± 0.0530.714 ± 0.051120Farkas 2005 (Mexican-American) prov.
Not specified — show pooled0.71 ± 0.0590.714 ± 0.0573922Unweighted 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
  • Farkas, Katic & Forrest (2005). International Anthropometric Study of Facial Morphology in Various Ethnic Groups/Races. J Craniofac Surg 16(4):615–646. doi.org/10.1097/01.SCS.0000171847.58031.9E
  • Lim, Abdul Shakor & Shaharudin (2022). Reliability and Accuracy of 2D Photogrammetry: A Comparison With Direct Measurement. Front Public Health 9:813058. doi.org/10.3389/fpubh.2021.813058

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