How to Describe Latino Skin Tones Accurately

Accurately describing Latino skin tones starts with recognizing that no single shade, category, or label can capture the group’s range. Latino populations span a pigmentation spectrum as wide as nearly any demographic category studied, from very light complexions that burn easily in the sun to deeply melanized skin, with every gradation in between. That breadth is rooted in centuries of genetic admixture across continents, and it has practical consequences for medicine, photography, cosmetics, and even how people understand their own identity.

Why Latino Skin Tones Span Such a Wide Range

The diversity of Latino skin color traces directly to ancestry. Most people who identify as Latino or Hispanic carry varying proportions of Native American, European, and African genetic heritage, and each lineage contributes different pigmentation-related gene variants. A study of 458 genomes from the Kalinago community in the Caribbean found that Native American ancestry alone was associated with a reduction of more than 20 melanin units on a reflectance scale, while specific European-linked gene variants each lightened skin by an additional four to six units.¹ In that same population, measured skin pigmentation ranged from 20 to 80 melanin units, a span that stretches from what most people would call light-skinned to quite dark. And that was within a single community sharing a relatively similar ancestry profile.

Across all Latino populations the variation is even larger, because the proportions of European, African, and Indigenous ancestry differ enormously from person to person and from region to region. A person of predominantly European descent in Argentina and a person of predominantly African descent in the Dominican Republic may both identify as Latino, yet their skin tones sit at opposite ends of the pigmentation scale. Research on Hispanic populations in the United States has shown that genetic-ancestry estimates correlate better with objectively measured forehead skin color than with people’s own guesses about their ancestry mix.² In other words, the skin itself carries ancestry information that self-identification frequently misses.

At the cellular level, the picture is equally nuanced. A comparison of epidermal melanin across ethnic groups found that the lightest skin types, including Mexican participants, had roughly half the total melanin of the darkest skin types, but their melanin was enriched up to threefold with lighter, alkali-soluble components.³ This means two people who look similar in overall lightness can differ in how their skin responds to sun, laser treatments, or chemical peels, because the underlying melanin chemistry is not the same.

Why the Fitzpatrick Scale Fails Here

The Fitzpatrick Skin Type (FST) classification, created in 1975, groups people into six types based mostly on how easily they burn and how readily they tan. It remains the most commonly used system in dermatology clinics, cosmetic-product labeling, and laser safety guides. For Latino patients, though, it has well-documented problems.

The scale traditionally slots most Latinos into types III and IV, a middle zone loosely described as olive to moderate brown. But when researchers actually measured the skin color of Latino participants using colorimetric instruments, they found a range of lightness and chroma values that exploded well beyond that narrow bin. The spread among Latino participants was significantly wider than among white participants and comparable to the spread among Black participants, underscoring how poorly two Fitzpatrick categories capture reality.⁴ A separate consensus study among dermatologists found that Fitzpatrick types IV and V were the most confusing ratings overall, precisely because they lumped together a broad range of skin types that respond differently to solar radiation, lasers, surgery, and cosmetic products.⁵

One consequence of this cramming is medical. A study focused on Latino populations found that many Latinos have objectively sun-sensitive skin that would qualify as Fitzpatrick type II, far lighter than the types III and IV typically assumed. Because the scale nudges clinicians to think of Latinos as moderately pigmented, lighter-skinned Latinos may not receive adequate sun-protection counseling.⁶ At the same time, darker-skinned Latinos are underserved in the opposite direction: inflammatory redness that is obvious on pale skin can be nearly invisible on deeply pigmented skin, and standard assessment tools were not designed to detect it.⁷

Scales Designed To Do Better

Several newer tools try to capture the range that the Fitzpatrick scale misses. Each approaches the problem from a different angle, and none has become universal, but together they represent a meaningful step forward.

The PERLA color palette was developed specifically for use in Latin America. It presents eleven skin-tone swatches running from very light (swatch 1) to very dark (swatch 11), giving interviewers and researchers a continuous, regionally validated visual reference.⁸ Because it was designed with Latin American populations in mind, PERLA sidesteps the Fitzpatrick problem of sorting people by burn-and-tan response and instead focuses squarely on visible skin color. It has been used in large-scale social surveys across the region.

The Monk Skin Tone (MST) scale, a ten-point scale developed at Harvard, takes a similar visual approach but was created with digital technology in mind. In a comparative study, subjective ratings using the MST scale captured differences in AI-driven melanoma classification scores more effectively than Fitzpatrick ratings did, meaning it gave algorithms a better handle on clinically meaningful pigmentation differences.⁹ Google adopted the MST scale for image-search equity testing, and researchers have begun printing MST swatches onto camera test charts to evaluate how well cameras reproduce diverse skin tones.¹⁰

For survey research, a newer tool called the Yadon-Ostfeld Skin Color Scale has been tested through cognitive interviews in Puerto Rico. Interviewers and participants showed high agreement when using it, and the average self-ratings, proxy ratings, and interviewer ratings converged on the same score. Participants generally found the scale easy to use, though a subset who had lived in the mainland United States expressed frustration that any skin-color question reminded them of rigid federal racial categories.¹¹ That reaction points to a tension that runs through every attempt to classify skin color: the tool needs to be precise enough for research or clinical use without feeling like it is imposing an external racial framework on the person being measured.

The Vocabulary People Actually Use

In everyday life across Latin America and among U.S. Latinos, skin color is described using a rich set of vernacular terms that do not map neatly onto English-language categories or Fitzpatrick numbers. Words like trigueño (wheat-colored, roughly a warm medium brown), moreno (dark or brown-skinned), claro (light), and canela (cinnamon) carry both descriptive and social weight. Research on Puerto Rican racial identification has shown that when census questionnaires omit locally meaningful terms like trigueño, the resulting picture of racial identification looks markedly different from what surveys using those terms reveal.¹² People choose different labels depending on which vocabulary is offered, which means any system that tries to replace vernacular terms with numbered swatches will miss a layer of how Latinos understand and communicate about their own appearance.

These words also encode undertone information that pure lightness-to-darkness scales can miss. Trigueño usually implies warmth, a golden or olive cast. Moreno can suggest a cooler or redder brown depending on regional use. Canela points to a warm, reddish-brown undertone. If you are a makeup artist, photographer, or product designer and you want to describe a specific Latino client’s skin accurately, combining a lightness reference (light, medium, deep) with an undertone descriptor (warm, cool, neutral, olive) will get you closer than any single ethnic label ever could. Undertone, in particular, matters enormously for choosing foundation shades, setting white-balance on a camera, and evaluating color accuracy in digital images.

Self-Report Is Not Objective Measurement

One complication in describing anyone’s skin tone, but especially within Latino communities, is that self-perception and objective measurement frequently diverge. Research drawing on both human assessments and machine ratings of skin color among U.S. Latinos found that the gap between how light or dark someone says they are and how light or dark a spectrophotometer or trained observer says they are is not random. It correlates with political attitudes: Latinos who overestimated their lightness tended to hold less liberal positions on racialized political issues than those who did not, while those who overestimated their darkness leaned more liberal.¹³ Skin-color identification, in short, operates partly as a social and political statement rather than a straightforward observation.

This does not mean self-report is useless. It captures how a person experiences and presents their own skin, which matters for marketing, representation, and social research. But it does mean that if clinical accuracy or product matching is the goal, self-report needs to be supplemented with either an observer rating using a validated visual scale or, better yet, an instrument-based measurement. The strong agreement between interviewers and participants on the Yadon-Ostfeld scale in Puerto Rico suggests that a trained observer with a good visual reference can get close to objectivity without needing a spectrophotometer.¹¹

Skin Cancer Risk and Why Description Matters Medically

Getting skin-tone description right is not just a question of cultural sensitivity. It has measurable medical stakes. Among Hispanic and Latino populations, greater European genetic ancestry is associated with a higher risk of cutaneous squamous cell carcinoma, and that association is partially but not entirely explained by predicted skin pigmentation.¹⁴ In practical terms, a light-skinned Latino with predominantly European ancestry faces a skin-cancer risk that may approach that of a non-Hispanic white person, yet may not receive the same screening recommendations because the “Latino” label signals moderate pigmentation to a provider unfamiliar with the full range.

The reverse problem exists too. Darker-skinned Latinos whose inflammatory skin conditions go undiagnosed because redness does not show up the way textbooks depict it can experience delayed treatment and worse outcomes.⁷ Many Latinos also carry the assumption that their natural pigmentation protects them from skin cancer, an assumption that research has identified as a genuine barrier to primary and secondary prevention.⁶ If clinicians described skin tone on a continuous scale rather than slotting patients into broad ethnic categories, both groups would be better served.

How Cameras and Screens Get It Wrong

Digital imaging adds another dimension to the problem. Most automatic camera processing pipelines were developed and tested on a limited range of skin tones, and the results show. Evaluations of modern cameras in face-present scenes have found that color shifts, exposure errors, and reduced overall image fidelity are common when scenes contain darker skin tones.¹⁵ A medium-brown Latino face might be pushed toward an unnatural orange by auto white balance, or a deep-brown complexion might lose all tonal detail in shadow areas. These are not edge cases; they affect billions of photographs taken every day.

Efforts to fix this include printing diverse skin-tone test charts based on scales like the MST and measuring how closely a camera’s output matches the original color values.¹⁰ Research on preferred skin-tone reproduction has also found that people across ethnic groups prefer photographs taken under lighting with a high correlated color temperature, roughly daylight-equivalent, and that the chroma of preferred skin tones increases slightly as ambient lighting gets warmer.¹⁶ For anyone photographing Latino subjects, the practical takeaway is straightforward: use daylight-balanced or slightly cool lighting, avoid auto exposure settings that meter for the brightest area of the frame, and verify color accuracy against a reference target rather than trusting the camera’s default processing.

A Practical Framework for Describing Latino Skin Tones

Given everything above, here is a workable approach that applies whether you are a clinician, a photographer, a cosmetics formulator, or a researcher designing a survey:

Separate lightness from undertone: Lightness runs from very fair to very deep. Undertone describes the hue beneath the surface: warm (golden, peachy, amber), cool (pink, red, blue-ish), neutral, or olive (a greenish-yellow cast common among people with mixed Mediterranean and Indigenous heritage). Both dimensions are needed for an accurate description.
Use a validated visual reference: The eleven-swatch PERLA palette is well-suited for social research in Latin American contexts. The ten-point Monk scale works well in digital and clinical settings. Either is preferable to the Fitzpatrick scale for describing visible skin color.
Do not substitute ethnicity for color: “Latino skin” is not a color. Saying a product is designed for “Hispanic skin tones” communicates almost nothing, because the range within that category is wider than the range between many conventionally defined racial groups.
Account for body-site variation: The inner upper arm is the standard reference site for constitutive (baseline) skin color because it is rarely sun-exposed. Facial skin, the forearm, and the hands may be several shades darker due to chronic sun exposure, and the melanin composition in those areas shifts as well.
Respect vernacular where appropriate: In social and cultural contexts, terms like trigueño, moreno, claro, and canela carry information that numbered scales miss. If your audience uses those terms, incorporate them rather than forcing people into English-language or Fitzpatrick categories.

When Undertones Shift With Age, Season, and Health

Skin tone is not static. Among Latino individuals with moderate pigmentation, seasonal tanning can shift measured lightness by several units on any scale, sometimes enough to cross a Fitzpatrick or Monk category boundary. Pregnancy-related melasma, a common condition that causes patchy darkening on the face, disproportionately affects women with Fitzpatrick types III through V, a range that captures a large share of Latina women. Chronic conditions like liver disease or anemia can add yellow or ashen casts that alter perceived undertone without changing melanin content at all.

For cosmetics and imaging, this means that a single shade match made in January may not hold in July. For dermatology, it means that the same patient’s skin may cross the boundary where erythema detection tools work well versus where they start to fail, depending on how recently the patient has been in the sun. The most accurate descriptions acknowledge this variability by recording both the measurement site and the season or circumstances, rather than treating a one-time reading as permanent.

1
PubMed Central. Native American genetic ancestry and pigmentation allele contributions to skin color in a Caribbean population
2
PubMed. Genetic admixture, self-reported ethnicity, self-estimated admixture, and skin pigmentation among Hispanics and Native Americans
3
PubMed. Ethnic variation in melanin content and composition in photoexposed and photoprotected human skin
4
National High School Journal of Science. Shades of Skin: Limitations of the Fitzpatrick Scale with CIELAB
5
Dermatologic Surgery. Updating the Fitzpatrick Classification: The Skin Color and Ethnicity Scale
6
PubMed Central. Recognizing Latinos’ range of skin pigment and phototypes to enhance skin cancer prevention
7
PubMed Central. Diagnostic Disparities in Erythema Visibility: A Call to Redefine Inflammatory Assessment in Diverse Skin Tones
8
Frontiers in Psychology. Who Differentiates by Skin Color? Status Attributions and Skin Pigmentation in Chile
9
npj Digital Medicine. Evaluating skin tone scales for dermatologic dataset labeling: a prospective-comparative study
10
Electronic Imaging / Society for Imaging Science and Technology. Improving Image Equity: Representing Diverse Skin Tones in Photographic Test Charts for Digital Camera Characterization
11
Survey Practice. Evaluating the Acceptability and Reliability of an Interviewer-Administered Skin Color Scale: Evidence from Cognitive Interviewing in Puerto Rico
12
Cambridge University Press. BLACK, TRIGUEÑO, WHITE … ? Shifting Racial Identification among Puerto Ricans
13
Oxford Academic. ¿Mejorando La Raza?: The Political Undertones of Latinos’ Skin Color in the United States
14
Communications Biology. Genetic ancestry, skin pigmentation, and the risk of cutaneous squamous cell carcinoma in Hispanic/Latino and non-Hispanic white populations
15
Electronic Imaging. Evaluating Camera Performance in Face-Present Scenes With Diverse Skin Tones
16
Color and Imaging Conference. Preferred skin tones reproduction of three ethnic groups under different ambient lighting conditions