# data[].attributes.body
dependency load: the amount of people in the dependency population compared to the working population

birth rate: the number of live births per year

life expectancy: how long a person may live for

# data[].attributes.body
Canada: 49/1000

Italy: 35/1000

Angola: 174/1000

Analysis: The birth rate is higher in Angola than Canada and Italy according to the pyramid data. This is true because Canada has  4.9% of the population aged 0-4  and Italy has 3.5%, while Angola has a high of 17.4%

# data[].attributes.body
Canada: 35%

Italy: 36.6%

Angola: 39.9%

Analysis: The total dependency for Angola is 39.9% and for Italy it is 36.6%, and lastly Canada is 35%. Angola seems to be 3.3% higher than Italy and Italy is 1.6% higher than Canada. Out of all the three countries Canada is the lowest and Angola is the highest.

# data[].attributes.body
Canada: 8.6%

Italy: 12.7%

Angola: 0.7%

Analysis: People aged 75+ and up for Canada is 8.6% and Italy is 12.7%. Lastly Angola has 0.7% meaning that more people in Italy are more likely to live over 75.

# data[].attributes.body
These population patterns exist in each of the three countries to show us how many people live or die each year so we can determine the future statistics. It can also help make us have a better understanding on which countries have too high of a dependency load, or too low of a birth rate.

# data[].attributes.body
This information is useful to countries now because looking at the data can show us if the pyramid is unstable or not. If it is, we can do something to make it stable again before something bad happens in the future making the pyramid more unstable.

The information is also useful for the future so we can see what to expect in each demographic characteristic or population pyramid for each country.

There can also be differences in each characteristic due to what the environment is like in each country. The environment can heavily affect the population in good ways or bad ways.