1 Regional Disparities of Stunted Toddler in Indonesia Agung Dwi Laksono 1 , Ina Kusrini 2 , 1 Center of Research and Development of Humanities and Health Management, Indonesia Ministry of Health, Jakarta, Indonesia 2 Unit of Health Research and Development Magelang, Ministry of Health, Center Java, Indonesia *Corresponding Author: Agung Dwi Laksono; agung.dwi.laksono-2016@fkm.unair.ac.id ABSTRACT Background/Objective: Although there has been a decline in the prevalence of stunting in Indonesia in the past decade, the figure is still the highest among countries in Southeast Asia. This figure varies in 34 provinces. The purpose of the study was to analyze the regional disparity of stunted toddlers in Indonesia. Materials and Methods: The analysis in this study uses data from the 2017 Indonesian Nutritional Status Monitoring (PSG 2017). Multi-stage cluster random sampling was used in the PSG 2017. The sample used in this study was 149,571 toddlers aged 0-59 months. Data were analyzed using the Binary Logistic Regression test. Results: Toddlers in the Sumatra region have the possibility of 0.921 times stunted compared to toddlers in the Papua region (OR 0.921; 95% CI 0.880-0.963). The Java-Bali region was 0.805 times more likely than toddlers in the Papua region to be stunted (OR 0.805; 95% CI 0.763-0.843). The Nusa Tenggara Region was 1.394 times more likely than toddlers in the Papua region to be stunted (OR 1.394; 95% CI 1.315-1.478). Kalimantan Region has 1.161 times more likely than toddlers in the Papua region to be stunted (OR 1.161; 95% CI 1.103- 1.223). The Sulawesi region has 1.184 times the possibility of toddlers in the Papua region being stunted (OR 1.184; 95% CI 1.128-1.243). Maluku region has a probability of 0.884 times that of toddlers in the Papua region to be stunted (OR 0.884; 95% CI 0.824-0.949). Conclusion: There was a regional disparity of stunted toddler in Indonesia. Keyword: nutrition status, child nutritional science, nutrition surveys INTRODUCTION A linear growth curve for toddlers with age is the best indicator in describing whether there is quality inequality in achieving optimal children’s health [1]. Inadequate food in meeting nutritional needs and the emergence of infectious diseases is the direct and most frequent cause of this growth failure [2]. Stunting is a form of growth failure that reflects