Residential Segregation of Socioeconomic Variables and Health Indices in Iran

BACKGROUND: Measures of segregation are essential tools for evaluation of social equality. They describe complex structural patterns by single quantities and allow the comparison of inequalities over time or between residential places. In many countries, patterns of residential segregation are well described (e.g., South Africa, Great Britain, United States of America). In this study, for the first time in Iran, we measured residential segregation for some socioeconomic and health variables and described their pair wise correlation. METHODS: We measured evenness dimension of segregation by generalized dissimilarity segregation index and information theory index and its ordinal equivalent for some determinants of socioeconomic status and health variables using data of last national census in Iran. Segregation indices were computed for 31 socioeconomic variables and four health indices. RESULTS: All the provinces were in the category of low segregation for individual and family disability and death of at least one offspring of mother, but for infant mortality half of the provinces were moderately or highly segregated. For some of socioeconomic variables, many provinces were in the category of moderate, high, or extreme segregation. There was significant correlation between segregation of heath indices and some socioeconomic variables. CONCLUSIONS: Correlation of segregation of determinants of socioeconomic status with segregation of health indices is an indicator of existence of hot zones of health problems across some provinces. Further studies using multilevel modeling and individual data in health outcomes at individual level and segregation measures at appropriate geographic levels are required to confirm these relations.