STATISTICAL ANALYSIS ON THE EFFECT OF SOME SOCIAL DEMOGRAPHY VARIABLES OF MONTHLY MEDICAL COST FOR VULNERABLES POPULATIONS

ABSTRACT The aim is to analysis the effect of some social demographic information of monthly medical cost for vulnerable populations. The area of the study is Ede North, the method of data collection was via Google form method and primary data source. The method of analysis were chi-square, and ANOVA. The results shows that the findings of this study highlight a strong correlation between educational attainment and income levels. Individuals with no formal education are entirely confined to the lowest income bracket ($50,000–$100,000), indicating that a lack of education severely limits earning potential, As individuals age, their medical costs tend to rise, as seen in the 46-60 age group, which has a mean expense of 2.88 and a small variation. The most significant increase occurs in the 61 and above age group, where the mean expenditure reaches 4.37, also, Males predominantly seek treatment at state and private hospitals, with 548 and 412 cases, respectively, while there are no recorded cases of males using primary health centers or teaching hospitals. In contrast, females primarily utilize primary health centers (469 cases) and teaching hospitals (371 cases), with significantly lower numbers in private hospitals (200 cases) and none in state hospitals. In conclusion The analysis confirms that education is a key determinant of income levels, with higher educational attainment leading to significantly higher earnings. Individuals with no formal education are restricted to the lowest income bracket, while those with only primary or secondary education experience limited upward mobility. In the recommendation, Educational institutions and private sector stakeholders should invest in vocational training and technical education to equip individuals with marketable skills, offering alternative career pathways for those who do not pursue higher education.