- Population growth is heavily driven by the fertility rate, which indicates the number of births per woman.
- The data table lists a high fertility rate of \(6.06\), which is characteristic of countries with high population growth.
- Comparing all options, a high fertility rate is the direct cause of rapid population growth, while life expectancy relates more to mortality.
- Therefore, the best explanation is the high fertility rate.
- Final Answer: \(\boxed{\text{high fertility rate}}\)
Explanation
- Analyze demographic trends and data
We are given a demographic data table containing "Rate", "Fertility rate", and "Life expectancy" for four different profiles or countries. We need to identify the best explanation for Uganda's high population growth rate among the options provided: low life expectancy, high life expectancy, low fertility rate, or high fertility rate.
A country's population growth rate is primarily driven by the number of births relative to the number of deaths. A high fertility rate (the average number of children born to a woman) is a strong primary indicator of high population growth because it directly increases the number of people entering the population. Life expectancy, while related to mortality, is generally a measure of health and longevity; high growth often occurs in places with high fertility even if life expectancy is lower, as a large number of children are being added to the population. Uganda is a known developing nation, typically characterized by high birth rates. Looking at the table, we see fertility rates of \(1.39\), \(6.06\), \(2.25\), and \(2.45\). The value \(6.06\) is significantly higher than the others, which is consistent with high fertility patterns found in high-growth nations.
- Evaluate the options and conclude
The question asks specifically for the best explanation for Uganda's high population growth rate. In demographic studies, the fertility rate is the most direct contributor to a high population growth rate. When a country has a high fertility rate (as indicated by the value \(6.06\) in our table), it means the population is experiencing a large number of births per woman, leading to rapid expansion. While "low life expectancy" might be a feature of some developing nations, it acts as a restraint on growth (due to higher mortality) rather than an explanation for high growth. Therefore, the high fertility rate is the primary driver. Comparing this to the options:
- Low life expectancy: Contributes negatively to growth.
- High life expectancy: Generally associated with lower birth rates and more stable population growth (demographic transition).
- Low fertility rate: Leads to population decline or very slow growth.
- High fertility rate: Directly leads to rapid population expansion.
Thus, the high fertility rate is the most robust explanation.
Examples
In real-world policy-making, understanding demographic drivers is essential for sustainable development. For instance, if a city planner sees that their population is growing too quickly for infrastructure, they might look at the fertility rate (average births per woman) and net migration to plan for more schools and healthcare facilities. By understanding that a high fertility rate is a major driver of this growth, they can tailor public health and education programs to address the needs of a younger, expanding population. Suppose a country has a fertility rate \(F_1 = 6.06\) and another has \(F_2 = 1.39\); the ratio of their impact on potential new population members is \(\frac{F_1}{F_2} \approx 4.36\), showing how much more significantly the first country's population potential is expanding.