The determination of the socioeconomic status (SES) of the households is of great importance especially for many studies conducted in the academic field. It is used extensively especially for market and advertising research. Different methods are utilized for calculating SES scores based on education, income and occupation data at household level. The data obtained are record-level real data, not survey data. Variables are rated according to the score scale from 0 to 100.

The data of the education variable is scaled according to the educational attainment of individuals and rankings of university departments, the occupation variable is scaled according to the civil servant coefficient and the number of persons employed, and finally the income variable is scaled according to median income value. All 26 million households in Türkiye were included in this study. According to the findings, the SES scores of the households were grouped into seven groups: A+ (1.44%), A (10.80%), B (16.05%), C1 (18.24%), C2 (19.32%), D (17.77%), and E (16.37%). While 16.37 % of the households were in the lowest SES group, the proportion of households in the highest SES group was 1.44%. This article is the first evidence-based study that sheds light on SES scores covering all households in Türkiye. In this way, the socioeconomic levels of people reside in Türkiye were classified by taking advantage of the administrative registers. Besides, in this study, the SES scores of an individual or household without a socioeconomic status score can be calculated by using the multivariate regression model.