We're told that the rate of growth of the population is proportional to the population itself, meaning that this problem deals with exponential growth/decay. The population can be modeled thusly:

Where  is an initial population value, and  is the constant of proportionality.

Since the population increased from 500 to 900 between 2013 and 2015, we can solve for this constant of proportionality:

Using this, we can calculate the expected value after five years from 2015:

We're told that the rate of growth of the population is proportional to the population itself, meaning that this problem deals with exponential growth/decay. The population can be modeled thusly:

Where  is an initial population value, and  is the constant of proportionality.

Since the population increased from 1450 to 1965 between 2011 and 2015, we can solve for this constant of proportionality:

Using this, we can calculate the expected value from 2015 to 2019:

We're told that the rate of growth of the population is proportional to the population itself, meaning that this problem deals with exponential growth/decay. The population can be modeled thusly:

Where  is an initial population value, and  is the constant of proportionality.

Since the population increased from 10987 to 15612 between January and March, we can solve for this constant of proportionality. Represent the months as their number in the calendar:

Using this, we can calculate the expected value from March to October:

We're told that the rate of growth of the population is proportional to the population itself, meaning that this problem deals with exponential growth/decay. The population can be modeled thusly:

Where  is an initial population value, and  is the constant of proportionality.

Since the population increased from 38 to 92 in the course of 60 minutes, we can solve for this constant of proportionality:

Using this, we can calculate the expected value after another 60 minutes:

We're told that the rate of growth of the population is proportional to the population itself, meaning that this problem deals with exponential growth/decay. The population can be modeled thusly:

Where  is an initial population value, and  is the constant of proportionality.

Since the population increased from 112 to 357 between 1:00 and 2:00, we can solve for this constant of proportionality:

Using this, we can calculate the expected value from 2:00 to 3:00:

We're told that the rate of growth of the population is proportional to the population itself, meaning that this problem deals with exponential growth/decay. The population can be modeled thusly:

Where  is an initial population value, and  is the constant of proportionality.

Since the population increased from 29 to 167 between 3:00 and 6:00, we can solve for this constant of proportionality:

Using this, we can calculate the expected value from 6:00 to 8:30:

We're told that the rate of growth of the population is proportional to the population itself, meaning that this problem deals with exponential growth/decay. The population can be modeled thusly:

Where  is an initial population value, and  is the constant of proportionality.

Since the population decreased from 1038 to 817 between 2010 and 2015, we can solve for this constant of proportionality:

Using this, we can calculate the expected value from 2015 to 2017:

We're told that the rate of growth of the population is proportional to the population itself, meaning that this problem deals with exponential growth/decay. The population can be modeled thusly:

Where  is an initial population value, and  is the constant of proportionality.

Since the population decreased from 5430  to 3740 between 2008 and 2015, we can solve for this constant of proportionality:

Using this, we can calculate the expected value from :

We're told that the rate of growth of the population is proportional to the population itself, meaning that this problem deals with exponential growth/decay. The population can be modeled thusly:

Where  is an initial population value, and  is the constant of proportionality.

Since the population increased from 1130 to 1460 between 3:15 and 4:30, we can solve for this constant of proportionality. Convert the minutes to decimal values of an hour:

Using this, we can calculate the expected value from 4:30 to 6:45:

We're told that the rate of growth of the population is proportional to the population itself, meaning that this problem deals with exponential growth/decay. The population can be modeled thusly:

Where  is an initial population value, and  is the constant of proportionality.

Since the population increased from 10800 to 25200 between April and June, we can solve for this constant of proportionality. Use the months' number in the calendar:

Using this, we can calculate the expected value in November from June:

Good luck, humanity.