This series of maps provides a visual representation of Census data in the year 2000 of the percentage of the population by county that cho0se a specific race when filling out the Census. This map specifically is showing the nationwide distribution of people who chose Black on the Census, where darker colors represent an increased percentage. What immediately stands out is the high concentration of Black that runs through the South and Southeast portion of the country. However, larger concentrations of people also appear in other various counties across the country, such as the region around Chicago and Los Angeles and San Francisco. Another point that stood out to me was that even with in the south, the largest area with a high percentage of the population being Black follows the Mississippi River from the tip of Illinois through Mississippi down into Louisiana. It is worth noting though that compared to other two maps, the middle two levels of color coding still indicate a very significant percentage of the population. In this map the greatest concentration is up to 86.5% of the population versus other maps where the largest concentration does not exceed 47%.
This map shows the population distribution in percent by county of people who identified as Asian. Again certain areas immediately stand out, such as Hawaii and along the West Coast, specifically California along with congregation in other areas of large population, such as Houston, Chicago, D.C. and New York. As mentioned, even in the areas with coded with the highest percentage range could only be slightly over half the population by percentage compared to counties with a high concentration of Blacks. This may be a result of the size of counties, where counties are much smaller on the east coast in addition to the fact that many counties in California are very diverse with large populations of Latinos and Blacks in addition to Asian.
This map provides a population distribution by county in percentage for a group labeled “Some Other Race” on the Census. As is obvious on the map above, counties in the Southwest and along the West Coast have greater concentrations of people in this category. Again it should be noted that “Some Other Race” is never over 40% of the population and that this may again be due to the size of counties in the western half of the country compared to the South and South East. There are also other outlying hotspots of population concentration, such as Florida and in the Northwest, specifically Washington State. Though the category “Some Other Race” is supposed to cover all populations not covered by the other categories, it seems extremely likely that even considering other minority groups and people of mixed ethnic and racial background, that the group “Some Other Race” is dominated by Latinos. I think that this is a fairly safe conclusion given the distribution of population show on the map. It is well known, and anyone living in California or anywhere in the Southwest can attest to this, that there is a large Latino population in the Southwest and California. Given that there is no category on the Census for a group of people that make up a substantial portion of our local population it seems fairly obvious that they are the group best represented by this Census data. Additional details on this map also provide evidence for this conclusion, such as the increases in Florida, where there is a larger Cuban and Puerto Rican population and the increased percentages in the Upper Northwest where many Latinos have previously or continue to work in agricultural industry.
Overall, I found this Census map series project very helpful for applying some of the fundamental skills we learned in previous labs and lectures. This lab specifically highlighted the ease, but attention to detail required when performing basic data organization, calculations and applying classification schemes. GIS is a very powerful tool, but even on a simple project like this, if you did not pay attention to background details such as organization of your data files, projection settings and even something as simple as how you choose to save your data paths a simple project can become frustrating and require a lot of time consuming backtracking. However, given the number of steps it would take to accomplish these types of maps in other basic software, I was pleasantly surprised when the process of joining and selecting data to be highlighted was actually as straightforward as the lectures implied.
With that said, each project continually increases my awareness of the potentials of the GIS software and the opportunities to ask and answer geographic based questions. Not only does working with the program give you access to a powerful tool to do your own analysis, but I also think it provides insight into how corporations and agencies and other professionals are constructing and thinking about their analysis as well. At the risk of becoming tangential, I think that in the world of politics where many important decisions are made using data such as this, it is easy to overlook the potential faults or undervalue the potential of data if you have not been exposed to the science and methodology used to create that data. Ultimately I find working with GIS has highlighted the need to have a better geographic intelligence when thinking critically about other issues.
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