This model projects the population of the city of Miami, Florida over the next 100 years using a stock and flow structure. The single stock, Miami Population, is increased by the Births and Immigration and decreased by the Deaths and Emigration. Miami's birth and death rates are quite balanced, therefore, the main driving force of Miami's increase in population is migration shaping the city's future population. 

This model demonstrates Ontario's population and its projected growth over 100 years. It uses variables such as the birth rate, death rate, immigration rate and emigration rate to predict how Ontario's population will change in coming years. A projected carrying capacity (K) of 25 million people is included to represent the idea that population growth decreases as the population increases. In the simulation, Ontario's population grows from approximately 16 million to approximately 19 million people over 100 years, while the per capita growth rate gradually decreases.

Toronto’s human population over time, based on population density. The population growth of Toronto is influenced by births and immigration and deaths and emigration. When Toronto’s population is below its carrying capacity, births and immigration are greater than deaths and emigration, therefore the population is increasing. As the population approaches carrying capacity, the growth rate slows and the population begins to level off. If the population exceeds carrying capacity, deaths and emigration can become greater than births and immigration, causing the population to decrease.

This shows the global human population over the next X years, with a max global capacity of 12 billion, initial population of 8 billion, birth rate of 0.4, and death rate of 0.2. 

The dynamics of moose (prey) and wolf (predator) populations

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

This insight model helps stimulate the change in Oshawa's population level.Using variables such as births, deaths, immigration, and emigration to help determine.Births and immigration are measured as a inflow, while deaths and emigration are outflows measured in people per year.Also is a carrying capacity of a city, which we found a rough estimate online of roughly 275,000 

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

This model represents the dynamics of the human population in the Durham region in Ontario. The population changes through four main processes births, deaths, immigration, and emigration. Births and immigration increase the population and deaths and emigration decrease the population. This model uses every variable to calculate how the population changes over time.

This model simulates the human population of Oshawa using stock and flow structure. The population stock is connected to 3 stocks that describe the human capacity of Oshawa, birth rate of Oshawa and the death rate of Oshawa. The population stock is drive 4 flows, one going in which is the immigration rate and the amount of babies birth and going out is the emigration rate and the amount of people die. This model begins with the amount of 221000 people living in Oshawa and can be used to explore how changes to birth, death, immigration and emigration rate can change the future population of Oshawa over time

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

The dynamics of a human population. This shows how the birth rate and death rate interact to form our population, alongside factors such as density and environment.

The dynamics of moose (prey) and wolf (predator) populations

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

Simulation of Human population increase in Ajax, Ontario using a 2021 statistic. Factors used are a combination of statistics in Ajax, and assumptions (based off of nearby cities in Durham Region.

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.