Part A
The four largest age groups in Kenya in 2010 were:
- Ages 0-4
- Ages 5-9
- Ages 10-14
- Ages 15-19
The total population of these age groups can vary depending on the exact figures from the population pyramid, but assuming approximate numbers:
- Ages 0-4: about 4 million
- Ages 5-9: about 4 million
- Ages 10-14: about 4 million
- Ages 15-19: about 4 million
Total: Around 16 million for these four age groups.
Part B
Assuming that most of the workforce is between the ages of 20 and 64, approximately how many people were in the workforce in Kenya in 2010?
There were about 18 million people of working age in Kenya in 2010.
Part C
The economic situation in countries like Kenya can be influenced significantly by the age distribution of the population. A high number of dependents (children and elderly) relative to the working-age population indicates a potential economic strain. When a large portion of the population is younger (ages 0-19), it suggests that there may be a future increase in the workforce, but currently, there may be challenges in supporting the large youth population. The relatively high number of working-age individuals (18 million) is positive, as this group contributes to the economy, but it is essential to develop initiatives for job creation and skill development to ensure they can be effectively utilized in the workforce.
Part D
For a stronger and more sustainable economy, it is important to restructure the age distribution. The drawing could show a shape that indicates a higher number of working-age individuals (20-64) as the base, tapering off significantly for both younger (0-19) and older (65+) populations. Ideally, aiming for a more balanced age distribution with a robust workforce will help to reduce economic dependency and support sustainable growth.
Self-Evaluation
I would rate my work a 4 out of 5. I found the evaluation of the age groups and their implications straightforward, but estimating exact figures based on the population pyramid required careful consideration. I learned about the critical impact of population structure on economic sustainability and the importance of a strong workforce in developing countries. The challenge for me was interpreting the population pyramid accurately and understanding how each age group can affect economic policies. Overall, this exercise has broadened my perspective on demographic trends and their implications on a country's economy.