The Most Common Color Season — and the Rarest

The Most Common Color Season — and the Rarest — Korean color analysis palette

Across 1,705 AI color analyses, Deep Autumn was the most common result at 28.3% — roughly one in three and a half. Soft Autumn (15.4%), Soft Summer (15.1%), and Deep Winter (11.1%) round out the top four, which together account for 70% of all results. The Spring seasons are by far the rarest, under 5% combined. One caveat matters: this reflects how our analyzer classifies real phone selfies, and our own measurements show the light-versus-deep judgment is where the skew concentrates, so read this as tool behavior rather than a population census.

What is the most common color season?

We looked at 1,705 anonymized results from our free color analysis, run between mid-July and the start of September 2026, and counted how often each of the twelve seasons came up. Deep Autumn leads at 28.3%, roughly one result in three and a half. Soft Autumn, Soft Summer, and Deep Winter follow, and those top four seasons together account for 70% of everyone analyzed, which leaves the remaining eight seasons splitting less than a third of results between them. This updates an earlier version of this article that covered the first 1,075 analyses; the ranking has held steady as the sample grew, with Soft Autumn and Soft Summer swapping places at second and third.

RankSeasonFacesShare
1Deep Autumn48228.3%
2Soft Autumn26215.4%
3Soft Summer25715.1%
4Deep Winter19011.1%
5Warm Autumn1337.8%
6True Summer1086.3%
7Light Summer784.6%
8True Winter653.8%
9Bright Winter513.0%
10True Spring331.9%
11Light Spring301.8%
12Bright Spring160.9%

Autumns dominate, and Springs almost disappear

Grouped by family, the imbalance is stark. The Autumn seasons — Deep, Soft, and Warm — make up 51.4% of all results, more than the other three families combined. Summer follows at 26.0%, Winter at 17.9%, and Spring trails at 4.6%. The three Spring seasons are the three rarest results in the dataset, so anyone typed as a Spring is genuinely uncommon in these numbers. There is also a pull toward depth: Deep Autumn and Deep Winter together account for 39.4% of results, so deep coloring shows up far more often than light coloring.

The skew is on the depth axis, not the warmth axis

A twelve-season result is really two judgments stacked together: whether your coloring is warm or cool, and whether it is light, medium, or deep. Because our analyzer records those two judgments separately, we can check which one is actually lopsided rather than guessing from the season names. Across the 1,221 most recent analyses, the warm-versus-cool call comes out close to even — 46.4% warm, 41.1% cool, 12.5% neutral. The light-versus-deep call does not: 39.6% deep, 46.4% medium, and only 14.0% light.

That single asymmetry explains most of the chart above. Autumn and Spring are both warm families, and the analyzer hands out warm and cool verdicts at roughly the rate you would expect. What separates them is depth, because Autumn is the deep and muted warm season while Spring is the light and bright one. When a tool almost never says "light," Spring has nowhere to land, and the warm results pile into Autumn instead. Ninety-two percent of all warm results in our data came back as some kind of Autumn. So the honest description of our own bias is narrower than "it skews warm and deep": the warmth judgment looks reasonable, and the depth judgment is the one running hot.

Why would the depth judgment run deep?

Lighting is the most plausible driver, and it is the one we can act on. Phone selfies are frequently under-exposed or lit by warm indoor bulbs, and an under-exposed face reads as deeper coloring than it truly is. An analysis judges the photo it is given, so a dim selfie nudges the result toward Deep Autumn even for someone whose coloring is genuinely light. That mechanism predicts exactly the pattern we measured, since exposure corrupts the depth reading far more than it corrupts the warm-cool reading.

In late July we added a check that warns you before analysis if your photo looks too dark, too bright, or strongly color-cast. Deep Autumn's share of results fell from 33.2% before that check to 27.3% after it, and the Summer seasons rose from 16.8% to 27.8%. We are not going to claim the check alone caused that, because week-to-week variation in our data is wide enough to swallow a shift that size, and our traffic mix changed over the same period. It points the right way without proving the case, and we would rather say so than dress a suggestive number up as a finding.

What we can say plainly is that the underlying distribution is stable and implausible as a population claim. Autumn has landed between 47% and 55% every single week we have measured, and Spring has never cleared 11%. No real population is half Autumn. Some of the gap is our audience, since people who seek out color analysis are not a random sample of humanity, and some of it is the depth bias described above. We cannot cleanly separate those two causes with the data we have, which is the main reason this article is framed as a report on tool behavior rather than a census.

How do I make sure my own result is accurate?

Control the light. Take your photo in indirect natural daylight, near a window, with no flash, no filter, and your natural hair color, and the result becomes far more reliable. If you have been typed Deep Autumn or Soft Autumn but rich dark colors have never quite felt right, a re-test in daylight is worth the minute it costs — our guide on Deep Autumn vs Soft Autumn covers that exact mix-up, and the color-season quiz can sanity-check the result against how you describe yourself. You can also browse all twelve palettes on the seasons hub and see which one your instinct agrees with.

If you came here for the short answers rather than the methodology, two companion pages tackle the same questions from the population side, using published estimates by ancestry instead of our own selfies: what the most common color season is and what the rarest color season is. Our data and those estimates agree on at least one point — Bright Spring came in rarest in both.

The bigger takeaway is that a single number, taken alone, can mislead. Saying Deep Autumn is the most common season is true of these selfies, and it is not a fact about humanity — it is partly a fact about how people photograph themselves and partly a fact about who shows up to be analyzed. Naming that limit out loud, and measuring which part of our own pipeline is responsible, is more useful than publishing a clean-looking percentage we cannot defend.

Find your color season — free analysis

Cite or download this data

These figures are free to cite and reuse under a CC BY 4.0 license with a link back to this page. Download the full 12-season breakdown as a CSV file. Suggested citation: PersonalColorAI (2026), Color Season Distribution: 1,705 AI Analyses, https://personalcolorai.com/blog/most-common-color-seasons. The data is aggregate counts from anonymized analyses, so no personal information is included. For a custom cut or the underlying methodology, see our how we analyze color page.

Frequently Asked Questions

What is the most common color season?

In our sample of 1,705 AI analyses, Deep Autumn was the most common result at 28.3%, roughly one in three and a half. Soft Autumn, Soft Summer, and Deep Winter came next, and those four seasons together made up 70% of all results.

What is the rarest color season?

The Spring seasons are the rarest. Bright Spring (0.9%), Light Spring (1.8%), and True Spring (1.9%) were the three least common results, and all Springs combined accounted for 4.6% of the dataset.

Why do so many people get Deep Autumn?

Our own measurements point at the depth judgment rather than the warmth judgment. The analyzer calls warm versus cool at a fairly even rate, but returns light coloring only 14% of the time, which pushes warm results into Autumn instead of Spring. Under-exposed phone selfies are the most likely cause, so re-taking your photo in indirect natural daylight gives a more accurate read.

Is this the real distribution of color seasons in the population?

No. This is how our analyzer classified real user selfies, and it is affected by both photo lighting and who chooses to use a color-analysis tool. It is not a scientific census. The true distribution across people is almost certainly more balanced, with more Spring and Summer types than these numbers show.

How many analyses is this based on?

1,705 anonymized results collected between 15 July and 1 September 2026. The depth and undertone breakdown draws on the 1,221 most recent of those, since we retain the detailed fields for a shorter window than the season label itself.