# data[].attributes.body
Total dependency load:

15.3+19.7=35%

Birth rate: 4.9%

Life expectancy: 8.6%

# data[].attributes.body
Total dependency load: 12.2+24.4=36.6%

Birth rate: 3.5%

Life expectancy: 13.7%

# data[].attributes.body
Total dependency Load: 44.8+2.6=47.4%

Birth rate: 17%

Life expectancy: 0.8%

# data[].attributes.body
We care about these statistics to have information that allows us to predict how the population of each country will look in the future and how it will be different from now, this information will give us a better look at what may happen to the population and to understand if it will have a big impact later on.

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Canada:  8.6%

Italy: 13.7%

Angola: 0.8%

Analysis:

The higher the population=the higher the population of aged 75+

# data[].attributes.body
Canada: 15.3+19.7=35%

Italy: 12.2+24.4=36.6%

Angola: 44.8+2.6=47.4%

Analysis:

The place with a higher population has the lowest birth rate, while the place with the lowest population has the highest birth rate.

# data[].attributes.body
Canada: 4.9%

Italy: 3.5%

Angola: 17%

Analysis:

The lower the population=the higher the birth rate, the higher the population=the lower the birth rate.

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These population patterns are there because of the population, the population is different from each country which makes the statistics different. Many older people inhabit Italy to enjoy the scenery and culture, many middle aged people inhabit canada to have a healthy life and a good environment for a family, many people have children in Angola but do not have a high life expectancy which results in a low amount of people at an older age.

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1. Life expectancy: The average age that a person is expected to live to.

2. Birth rate: The amount between the number of births to the average total population in a year.

3. Dependency load: The dependency load is used to understand the economic burden of the workforce and also the total youth dependency.