The Impact of Race on Veteran Unemployment

by kayla_bourbon on December 9, 2016 - 8:40pm

             Recently, I have been interested in US unemployment statistics and how they either correlate or differentiate among particular state demographics. Therefore, I decided to use the fact finder tap on census.gov to compare my findings with some of the biggest cities in the United States. I wanted to use the most accurate and recent information possible so I used the 2015 American Community Survey link. I wanted a wide range in variety in locations with the notion that not too locations are similar in the least bit. The cities included New York City, Los Angeles, Chicago, Houston, Philadelphia, and Phoenix.   Instead of just using ordinary citizens to present this data, I compared unemployment rate in veterans of different nationalities.  More specifically, I decided to demonstrate a graphic display including veterans of different races in these six large cities presented on an excel table using percentages. Before I conducted this research, I never would of put veterans and unemployment in the same category because I found there correlation bipolar. I blatantly assumed that a US veteran would always have some form of occupation or job status until retirement.  Some of the final results were expected, but there was some demographic evidence that I didn't see coming.

           The first thing I noticed after I completed the excel table was the unemployment rate in Philadelphia, PA. If anything, I assumed beforehand that it was going to have the smallest percentage, but I was wrong. Therefore, the rate was the highest out of all six cities at 14.7%. The next highest was Chicago at 12.9%. It was even higher than the US amount by a little over 5%. I found it peculiar mainly because of Philadelphia’s size. Usually after high school, one has three options; college, work or the army. Therefore, if the veterans did not go to college, they will have no college diploma to fall back on and won’t essentially find a relatively decent high paying job. Furthermore, I was also surprised by Philadelphia’s veteran race ratios.  The other five cities had a heavily white dominated amount of veterans, with African Americans following slightly behind, yet Philadelphia contradicted this notion. More specifically, there was 44.9% of white veterans and a close margin of African American veterans at 41%. This might be because the overall African American popular is larger than the white population.

            Furthermore on the topic of veteran races, I was shocked to see not only one but two 0.0 percentages in the Native Hawaiian / Pacific Islander category. When I think of Chicago and New York City, the words diverse and intercultural come to mind. The reason why I think this race category is nonexistent in these two cities and overall low on the remaining four is because usually a population from any “island” doesn’t usually migrate too far from home, especially a big city like Chicago or New York (drastic culture/geographical difference.) As mentioned above, I described Chicago as diverse, intercultural and contradictory. For these reasons, I would assume that the black population would be slightly higher than 30%. Another city that stuck out to me was Phoenix, Arizona for two reasons. They had the highest percent for white veterans (77.7%), yet the lowest percent for black veterans (6.7%). Considering that Phoenix, Arizona is right on the Mexican border, one would think that there would be more diversity other than causation or white.

            In conclusion, I found these staggering results both shocking, yet interesting. As stated before, I never would of put veterans and unemployment in the same category because I found there correlation peculiar.  When conducting this research, I became more aware of my countries race demographics/informalities and overall more educated on statistical veteran data. Overall, I thought there would be more to pick from the data, but unfortunately there was not a lot evident without further resources to compare the information.

           

           

 

 

 

 

 

 

 

 

 

 

 

 

 

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