This aim of this study was to determine the impact of human capital variables on the probability of poor families. The research was conducted based on the data collected in SUSENAS in province of special region of Yogyakarta, analysed using logit model and estimated using maximum likelihood estimator (MLE) method. The number of data was 3,606 families. The result showed that the cost variable of disease prevention (BPP), scholarships (BP), food security (JP), health insurance (AK), average length of schooling (RLS), and cost for non-formal education (BPN) affect and is statistically significant to poverty status in 2013 at 5% significance. Also, Calorie consumption per capita (KK) and protein consumption per capita (KP) affect on poverty status at 10% significance in 2013. © 2020 Inderscience Enterprises Ltd.