By 2050, the Earth’s population will have reached 9.6 billion. This spike in population is not evenly distributed across the globe. Contribution to population growth varies regionally as the standard number of children each woman has is different in many areas of the world. The different averages of the amount of children women have correlates with many other important global indicators.
The primary objective of this project is to demonstrate the average number of children per woman globally, as well to make evident some of many correlations that accompany this indicator. The indicators that will be compared to the average number of children per woman are: the percentage of women in parliament, infant mortality rate, life expectancy, population density, women in government, literacy, and GDP.
Problem Statement #1:
There is a dramatic difference in the average number of children per woman around the world.
Justification:
Being aware of the average number of children per women could bestow important insight into future population trends such as what age the majority of a population would be in the future.
Problem Statement #2:
Unfortunately areas with the highest average number of children correlate with many problematic issues.
Justification:
It is important to become aware of the issues so they can be addressed and this is accomplished by the ability to identify where certain problems originate and what correlates with them. Identifying these correlations can initiate awareness, diagnose and identify areas where improvements can be made and what can be done to mitigate these problems.
Scope:
All countries will be taken into account when analyzing the data; 245 locations, both countries and territories.
Characteristics:
The children per woman data set will be compared to the percentage of women in parliament, infant mortality rate, life expectancy, population density, women in government, literacy, and GDP.
Objectives for accomplishing the main goal:
The objective of this project is to create a visual representation of the average amount of children per woman across the world. Another objective is to demonstrate a correlation between the factors of the percentage of women in parliament, infant mortality rate, life expectancy, population density, women in government, literacy, and GDP.
Criteria:
The standards by which these factors will be decided upon are if linear correlation through preliminary research is observed.
Methodology:
Using GIS flowcharts.
Analysis Process:
We agreed that the average amount of children per woman could be correlated with many other considerations, however specifically what exactly did correlate was unknown before initiating research. Gapminder.com was a crucial resource in comparing factors to the average number of children per women. This tool allowed us to observe correlations through visual linear representations of many factors as we compared them to the average amount of children per women. It was then decided that criteria for our selection would be: the percentage of women in parliament, infant mortality rate, life expectancy, population density, women in government, literacy, and GDP.
Results and Discussions:
Conclusions:
Observing the world visually through GIS opens up opportunities to discover and recognize different aspects that may not be recognizable or observable otherwise. This allows us the contingency to view the world in different ways. Correlations of low life expectancy and high infant mortality to a higher amount of children that each woman has, as well as as a lower literacy percentage and a low GDP accentuate the areas and locations where social progress could be important.
