OBJECTIVES: The aim of this research was to determine the impact of the socio-demographic factors on dermatology-related quality of life. METHODS: The data came from a large cross-sectional, internet based national survey, exploring skin condition on a representative sample of the Hungarian adult general population in 2020. Respondents’ socio-demographic characteristics, self-reported and verified skin diseases and dermatology-related quality of life were recorded. Dermatology-related quality of life was measured with the Dermatology Life Quality Index (DLQI) questionnaire. To assess which socio-demographic factors influence the DLQI score we built a linear OLS multivariate regression model. RESULTS: Altogether 2,001 participants completed the questionnaire, with the average age of 48.2 [18-87] years. The majority of respondents (55%) had secondary education and were employed full time (40.5%). Half of the respondents (n=1,033) had self-reported skin disease, out of whom 609 had skin disease verified by a physician. The mean DLQI score was 1.9 (SD=4.0) with women having a slightly higher mean score (2.0, SD=3.9) than men (1.8, SD=4.0) (p = 0.001). Most problems were reported in the first two DLQI items (item 1 (itchy, sore, painful or stinging) and item 2 (embarrassment)) with 34.7 and 27.1% of respondents reporting any level of problem, followed by item 4 (clothes) in 14.1%. The DLQI score differed among age-groups with younger age-groups having relatively higher DLQI (p = 0.000). Participants, who had lower level of education, or lower income had a higher average DLQI score. Average DLQI scores among respondents living in rural areas were higher, compared to respondents living in urban areas. We found that while controlling for existing skin disease verified by physician, age, income, and employment status were significant variables in our model. CONCLUSIONS: Respondents experienced at least a minor effect of their skin symptoms, differences in the respondents’ mean DLQI scores based on their socio-demographic characteristics were detected.