Age/Sex compositions have proven to be important factors in society because they are the basic characteristics and biological attributes of any demographic group. However, they do not only effect the demographics, they also impact the economic, social and political structure as well. They have ways of changing and influencing internal and external migrations, GMP, birth and death rates among seemingly unrelated things such as educational and medical services. In regards to educational services, sex-age distribution numbers can help predict decisions that are likely to be made in regards to the number of educational institutions, teacher, textbooks and so much more. It is also a key tool used in promotional campaigns in regards to seeing what people in certain areas of the country desire in quantitative term. Age and sex can instantly ascribe a status you and those like you based on biases. These biases give you a certain status in society just simply based off of a few simple numbers. This is because often numbers are indisputable and convenient to those looking for a quick rational number.

When looking at the age/sex composition change over time between my two countries, New Zealand and Syria, I found vast differences. Though data from 1980 was not available for either of my countries, I found that from 1990-2010 the composition of both of my countries did not really change all that much. However, they way they are both structured is vastly different. When it comes to Syria, and underdeveloped country, you will see that their age/sex composition is likely to be shaped more like a triangle. This is follows suit with all developing countries and shows a trend of having most of the population very young, under 30, and very little reaching their elderly years. This can be due to a multitude of things such as lack of health care, disease and poor living conditions.