European Scientific Journal June 2018 edition Vol.14, No.17 ISSN: 1857 – 7881 (Print) e - ISSN 1857- 7431 61 Inter-Group Disparities in Fatal Road Traffic Accident in Texas Ayodeji Iyanda, MSc. Department of Geography, Texas State University, San Marcos, Texas, USA Doi:10.19044/esj.2018.v14n17p61 URL:http://dx.doi.org/10.19044/esj.2018.v14n17p61 Abstract The risk of dying from a road accident is higher than dying from heart and infectious diseases. Mortality and injury related to fatal accident is increasing partly due to the level of motorization. Further, the associated risk of accident varies among diverse population groups. This study examines the inter-group difference in injury and mortality caused by road accident in Texas using Fatality Analysis Reporting System (FARS), the nation’s most comprehensive population-based accident database from 2014 to 2016. Texas had the highest accident mortality in 2016 making accident the fifth leading cause of death. This study performed two main tasks: 1) It analyzed injury severity variation for different age groups using data mining technique. 2) Accident fatality disparity was determined by using both non- parametric version of analysis of variance and multilevel binary logistic regression. The study interprets fatality risk using the odd ratio. Result shows that Asian subgroups, European Spanish, Central and South Americans, and children were at greater risk. This study is important for culturally specific public health intervention design targeting the most vulnerable subgroups based on people’s cultural orientation. Keywords: Fatal traffic accident, inter-group disparity, population health, minority groups, Texas Introduction Road traffic accidents (RTAs) are a leading cause of many sudden deaths and lifelong injuries worldwide (World Health Organization [WHO], 2017). In 2015, 1.3 million people died through road accident of whom 76% were men and boys (WHO, 2017). In the same year in the US, total fatalities were 35,485 while victims of accident related injuries were about 2.5 million. The economic and comprehensive costs were $242 billion and $836 billion, respectively (Blincoe, Zaloshnja, & Lawrence, 2015). Increasing