<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="Research Article" dtd-version="1.0"><front><journal-meta><journal-id journal-id-type="pmc">iarjhss</journal-id><journal-id journal-id-type="pubmed">IARJHSS</journal-id><journal-id journal-id-type="publisher">IARJHSS</journal-id><issn>2708-6267</issn></journal-meta><article-meta><article-id pub-id-type="doi">https://doi.org/10.47310/iarjhss.2021.v02i02.022</article-id><title-group><article-title>Determinants of Health Richness and Health Poverty in Ekiti State, Nigeria</article-title></title-group><contrib-group><contrib contrib-type="author"><name><given-names>T.O.</given-names><surname>Osanyinlusi</surname></name></contrib><xref ref-type="aff" rid="aff-a" /></contrib-group><contrib-group><contrib contrib-type="author"><name><given-names>A.E.</given-names><surname>Oloniluyi</surname></name></contrib><xref ref-type="aff" rid="aff-a" /></contrib-group><contrib-group><contrib contrib-type="author"><name><given-names>E.O.</given-names><surname>Ogunleye</surname></name></contrib><xref ref-type="aff" rid="aff-a" /></contrib-group><aff-id id="aff-a">Department of Economics, Ekiti State University, Ado-Ekiti, Nigeria</aff-id><abstract>This study examined the determinants and the extent of health poverty and richness in Ekiti State, Nigeria. The study employed survey data; the data were collected through the administration of structured questionnaires administered in six local government areas spread across the three senatorial districts of Ekiti State in 400 respondents using the Taro Yamane method of sampling technique. Descriptive statistics were used to analyze the demographic outcome of the respondents and a binary logit model was used to estimate the determinants of health poverty and richness while the level of expenditure on health of individuals was used to capture the extent in Ekiti state. The findings of the study show that income, which can be induced by quality education is positively and significantly related to health poverty and richness of people in Ekiti state while some other determinants that have to do with people's lifestyle like; drinking and smoking habits are significant but negatively related. The study further revealed that all the explanatory variables are statistically significant at 5%. The study concludes that health status is determined by the level of income and that about 85% of the Ekiti dwellers are health wisely rich. Given these assertions, this study recommends that policy geared towards improving and review of the income of workers which in turn have multiplier effects on both productivity and health status of the populace be considered by policymakers.</abstract></article-meta></front><body /><back /></article>