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Canada: 4.9%=49/1000  Italy:3.5%=35/1000

Angola:17%=170/1000

Analysis:Angola has the highest birth rate in all of the three countries the second highest is Canada and the lowest is Italy by.

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Canada:  8.6%  Italy:12.7% Angola:0.8%

Analysis:Italy has the highest life expectancy in of the three countries ,the second highest is canada and the lowest life expectancy is angola

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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 highest total dependency load in the three countries is Angola. the second is Italy and the third is canada with the lowest total dependency load in the three countries

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The reason for different countries having different birth rates and different life expectancy and different dependency load

is that Several factors contribute to variations in birth rates, life expectancy, and dependency loads among countries. These include socio-economic status, cultural norms, access to healthcare and education, government policies, and even environmental factors. For example, developed countries tend to have lower birth rates and higher life expectancy due to better healthcare, education, and economic opportunities, while developing countries may experience higher birth rates and lower life expectancy due to poverty, lack of access to healthcare, and lower levels of education. Dependency loads also vary based on factors like social welfare systems and population age distributions.

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1.Birth rate: Birth rate, also known as natality, is the total number of live human births per 1,000 population for a given period divided by the length of the period in years.

2.life expectancy:Human life expectancy is a statistical measure of the estimate of the average remaining years of life at a given age. The most commonly used measure is life expectancy at birth.

3.dependency load: The dependency ratio is an age-population ratio of those typically not in the labor force and those typically in the labor force. It is used to measure the pressure on the productive population.

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We care because this This information is important for the future and the present to show the lifespan each year of men and women and can make us predict the life expectancy and the birth rate and Understanding the lifespan trends of men and women helps us anticipate healthcare needs, allocate resources efficiently, and develop targeted interventions to address disparities. By tracking life expectancy and birth rates, we gain insights into population dynamics, which inform social policies, economic planning, and public health strategies. This data also aids in projecting future demographic shifts, guiding long-term planning for retirement systems, healthcare infrastructure, and social services. Ultimately, this information empowers societies to make informed decisions that promote well-being and sustainability across generations.