# data[].attributes.body
Canada: __35%    younger = 15.3%           older = 19.7%

Italy: __36.6%      younger =  12.2%          older = 24.4%

Angola: __47.4%  younger = 44.8%          older = 2.6%

Analysis:

The country with the highest % of population 14 % and under + 65 and older is Angola

Canada is the nation with the lowest population percentage—14% of those under 65 and older.

This means that Angola has the highest total dependency load

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Canada: 4.9% (of the population is in the 0-4 age cohort) - this is not the birth rate!

Italy: 3.5%

Angola:  17%

Analysis:

Angola has the highest percentage of the population in the 0-4 age cohort and above.

Italy has the lowest percentage of its 0-4 age cohort + population.

This means that Italy has the longest birth rate.

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Canada:  8.6% (of the population is aged 75+) - this is not the life expectancy!

Italy: 12.7%

Angola: 0.8%

Analysis:

The country with the highest % of population aged 75+ is Italy

The country with the lowest % of population aged 75 + is Angola

This means that the country with the longest life expectancy is Italy

# data[].attributes.headline
Why is it there? Canada population pattern

# data[].attributes.subject
Why is it there? Canada population pattern

# data[].attributes.body
Like many developed countries, Canada experiences significant urbanization, with a large proportion of its population residing in urban areas. Cities like Toronto, Montreal, and Vancouver attract people due to job opportunities, amenities, and cultural attractions. This leads to population concentration in urban centers, particularly in the southern regions of the country.

# data[].attributes.headline
Why is it there? Italy population patterns

# data[].attributes.subject
Why is it there? Italy population patterns

# data[].attributes.body
Italy has a long history dating back to ancient times, and many of its cities have been centers of culture, commerce, and political power for centuries. Cities like Rome, Florence, Venice, and Milan have attracted populations for their historical significance, employment opportunities, and cultural amenities. As a result, these urban centers have relatively dense populations.

# data[].attributes.headline
Why is it there? Angola  population patterns 

# data[].attributes.subject
Why is it there? Angola  population patterns 

# data[].attributes.body
Angola's population has been experiencing steady growth, although exact figures may vary due to factors like civil unrest, migration, and lack of accurate census data. The growth rate has slowed somewhat in recent years due to factors such as the civil war and the impact of diseases like HIV/AIDS

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Why is it important to know about the differences between life expectancy between different countries?

Understanding differences in life expectancy between countries is important because it helps identify disparities in healthcare access, socioeconomic conditions, and overall quality of life, enabling targeted interventions to improve public health and well-being.

Why is it important to know about the differences between birth rates in different countries?

Knowing about differences in birth rates between countries is important because it helps in understanding population trends, planning for future demographic changes, and formulating policies related to healthcare, education, and social welfare.