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I Believe that differences between life expectancy, birth rate, and dependency loads could be caused by a few reasons

1. Health Care Quality

2. Environmental Conditions

3. Quality of Life

In conclusion i believe that these 3 factors could increase or decrease life expectancy, birth rate, and dependency loads in counties depending on the conditions

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Population pyramids are important because they help us understand the age of a population. This information helps to improve future planning, healthcare , and education. They also help by predict future changes, allowing for better adaptation for future generations.

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Life Expectancy - The average lifespan of a person based on factors like health,lifestyle and environment.

Birth Rate - The number if live births per 1000 people in a population

Dependency load - The total percentage of children (0-14) + The elderly (65+)

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Total dependency load (% 14 and under + 65 and older):

Canada: 35%    younger = 15.3        older = 19.7

Japan : 40.1%     Younger = 11.5        older = 28.6

Zambia: 44.1% Younger = 42.4      older = 1.7

Analysis: Zambia has the highest dependency Load

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Canada:  8.6%

Japan: 17%

Zambia: .4%Analysis: put in order From Highest to lowest is Japan,Canada,Zambia

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Canada: 4.9%

Japan: 3.3%

Zambia: 15.4%

Analysis: put in order From Highest to lowest is Zambia,Canada,Japan