After several different choices of indicators, I have chosen the ” Contraceptive Use (% of women aged 15 – 49) and Life expectancy. As expected they are related in the way I had presumed. The graph had a pretty constant trend with a line that was diagonally raised to the right. This line showed that for the most part the less amount of contraceptives that are used, the lower the life expectancy is. However there are some exceptions stating that with a less amount of contraceptives used the life expectancy is still high. This is what i thought the graph would have shown before seeing it. The graph also showed that the countries in Africa tended to be on the lowest part of the graph showing lowest percent of contraceptive use and lowest life expectancy. In contrast the countries in the european region as well as the americas had a much higher position on the graph, and Asia was scattered around the graph.
I think what the graph showed is that in general countries who have a higher percentage of contraceptive usage also have a higher life expectancy. I can see how this is true, for example in Africa. In Africa the amount of contraceptives used is very low, with this many children being born, the health care in Africa being less than satisfactory and with so many children and diseases its hard for the life expectancy rate to be high. With countries that generally have better health its easy to see that both the contraceptive usage and life expectancy are higher.
Some limitations of this graph are that the life expectancy rate can be heavily impacted by other factors besides the contraceptive usage, so its an unfair statement to say that life expectancy is impacted heavily by the contraceptive usage. Other limitations include that it may not be possible to really know the percent of contraceptives that are used for all sexual activity in the public of these countries. Overall it was interesting to see the trend of the graph and how the two indicators impacted the other.