When we first looked at this picture in class there was no way that I thought this map could be true. We are warned all the time to be careful what we look at on the internet, because for the most part a lot of the information is not true. When we looked at this photo in class we zoomed in on the area in the circle and first determined what was included in that circle. Once we were able to detrmine what cities were within that circle we were then able to look up the population in each of those cities. We added up the total of each city to get the total population of the places within the circle. Then we researched the total population of the world. Once we were able to find this we subtracted the population from within the circle from the total population, and what we were left with was smaller than the total population within the circle. Which means that the map was true. I was shocked. There was no way that I thought this was true. What was interesting to me was the process we went through to determine that this map was even true. We had to detrmine the area we were working with and then research the information to get a solution. I think you learn a lot just by this simple picture. This map happened to be true however there are many picture listed under this map that are untrue that we are faced with all the time, that if we took the time to research we woudl realize are silly pictures. Just by researching information about a picutre like this can teach us a lot about a place.
We often talk about life expectancy data at the national level; this simplification has a great deal of utility but obscures regional distinctions within a country. Some counties in the United States have life expectancies on par with Japan (84), while the worst off counties are more similar to Indonesia (69). Even more startling, in 661 counties, life expectancy stopped dead or went backwards for women since 1999. This is a dramatic look at the importance of scale within any geographic analysis to arrive at reasonable conclusions. So let's start looking at local demographic data instead of just nationally aggregated data. For more on this press release, see: http://www.healthmetricsandevaluation.org/news-events/news-release/girls-born-2009-will-live-shorter-lives-their-mothers-hundreds-us-counties
Typically when I think about the average life expectancy today I think of how it has increased over the years. However I never thought of looking at it broken down into gender and area. When it is broken down the life expectancy of women is not increasing like it used too and in some places is even going down. In the graph it says that 54,000 women die every year because of excess salt. That stat is crazy! Even though that may not be a huge percentage of our population. It is something that can be monitored more and prevented. It would be interesting to see why people live longer in certain areas. What is it about specific areas that these people are living the longest? Even though the average life expectancy as a whole as increased I think we should look more into the decrease of life expectancy of women and why men's life expectancy's are increasing so much in comparison to women.
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