HIV (Human Immuno-deficiency Virus) prevalence in Malawi is one of the highest in the world, with 10.3% of population living with HIV. Kenya has a prevalence rate of 6% and with 1.6 million people living with HIV infection. The broad objective of the study was to assess the proportion of youth aged 15-24 years affected by HIV in Malawi and Kenya. This was a descriptive study design. Data were mainly collected from reports from government, World Bank, World Health Organization and UN agencies. Graphs, tables and charts have been used to present statistics. Data for specific age cohort were hard to find and hence, data were used for general HIV and AIDS with special attention to the youth where possible. In Kenya, HIV prevalence among young women jumps three folds from 2.8% of 15-17 year olds to 8.3% among 23-24 year olds. In Malawi, around 2,100 young people and adolescents are infected with HIV every day. In 2013, four million young people aged 15-24 were living with HIV, with 29% aged under 19 years. This age group includes school going youths, newly employed, economically productive and sexually active group. HIV prevalence in Malawi has been declining over time among persons aged 15-19 years from 16.4% in 1999 to 11.8 % in 2004 to 10.6% in 2010 and 10.3% in 2016. However, in Kenya, the trend of HIV prevalence reached its peak of 10.55% in 1995-1996 after which it declined to 6.7% in 2003 and has been stable since then.

This paper sought to analyze the relationship between population growth and development. The motivation is that population growth has been blamed as a cause of being under development in LDS (Least Developed Countries). This is a descriptive study employing review of secondary data and reports. There is no direct relationship between population growth and being under development. This is supported by countries which are populous yet their economies are growing fast enabling them to graduate from developing and donor reliant to developed and donating countries. China and India are examples. Again, data show that socioeconomic indicators were not any better when population sizes were low in the last 3 to 4 decades. Countries should focus on sound economic management to improve the supply side of goods and services which ultimately will result in reduced population growth as one of the effects. It is concluded that the notion of high population is built on the experienced and anticipated challenges in supplying goods and services that meet the demand and not on any standard measure as to what is standard population size for a country of a given physical size and natural resources.