In Kenya, 7% of the national budget is spent on health care for the population, while in Sudan, only 1% of the national budget is spent to provide medical care.
-- UNICEF, United Nations Population Division and United Nations Statistics Division.
A likely result of this discrepancy is that
Responses
A HIV and AIDS rates are higher in Sudan.HIV and AIDS rates are higher in Sudan.
B HIV and AIDS rates are higher in Kenya.HIV and AIDS rates are higher in Kenya.
C the per capita income is higher for people living in Kenya.the per capita income is higher for people living in Kenya.
D life expectancy rates are higher for people living in Sudan.
A HIV and AIDS rates are higher in Sudan.HIV and AIDS rates are higher in Sudan.
The likely result of this discrepancy is that:
D. Life expectancy rates are higher for people living in Sudan.
When a country invests more in healthcare, it can lead to better access to medical services, preventive measures, and overall improvement in the healthcare system. This can result in higher life expectancy rates as people have better access to healthcare and are more likely to receive the necessary medical treatment and interventions to maintain and improve their health.
To determine the likely result of the discrepancy in health care spending between Kenya and Sudan, we need to consider the potential impact of the difference in budget allocation.
One possible outcome is that HIV and AIDS rates are higher in Sudan (Option A). However, to confirm this, we need to gather additional information such as the prevalence of HIV and AIDS in both countries.
Another potential outcome could be that HIV and AIDS rates are higher in Kenya (Option B). Similarly, more data is required to verify this claim.
Alternatively, it is possible that the per capita income is higher for people living in Kenya (Option C), which could explain why a larger portion of the budget is allocated to health care. Again, we would need more economic data to support or disprove this statement.
Lastly, it is also feasible that life expectancy rates are higher for people living in Sudan (Option D). Similar to the above options, we would need access to life expectancy data to determine the accuracy of this statement.
In summary, without specific data and information clarifying the relationship between health care spending and these potential outcomes, it is not possible to definitively identify which result is most likely.