To solve this problem, we will use the logistic growth model, which is defined by the equation:
\[ P(t) = \frac{K}{1 + \left(\frac{K - P_0}{P_0}\right) e^{-rt}} \]
where:
- \( P(t) \) is the population at time \( t \),
- \( K \) is the carrying capacity,
- \( P_0 \) is the initial population,
- \( r \) is the base growth rate,
- \( t \) is the time in years.
- Base Growth Rate Calculation: Use the given initial conditions (1960 population and growth rate) to solve for the base growth rate \( r \).
- Current Growth Rate Calculation: Use the logistic model to estimate the current growth rate given the current population.
- Comparison: Compare the estimated current growth rate to the actual growth rate.
To find the base growth rate \( r \), we use the initial growth rate and the carrying capacity. The calculated base growth rate is given by:
\[
r_{\text{base}} = 0.0170625
\]
Expressed as a percentage, this is:
\[
r_{\text{base}} \times 100 = 1.7063\%
\]
Next, we estimate the current growth rate \( r_{\text{current}} \) using the logistic model. The calculated estimated current growth rate is:
\[
r_{\text{estimated current}} = 0.00874453125
\]
Expressed as a percentage, this is:
\[
r_{\text{estimated current}} \times 100 = 0.8745\%
\]
We compare the estimated current growth rate to the actual growth rate of \( 0.011 \) (or \( 1.1\% \)). The comparison shows that:
\[
0.00874453125 < 0.011
\]
Thus, the estimated growth rate is smaller than the actual growth rate.
- Base growth rate: \( \boxed{1.7063\%} \)
- Estimated current growth rate: \( \boxed{0.8745\%} \)
- Comparison: The predicted growth rate is \( \boxed{\text{smaller than}} \) the actual growth rate.