I created and saved my Map to ArcGIS. Its title is the same as the title of this post. It layers the education level of adults 25 and older with average income levels for each census region. I also added a layer that shows the average amount spent on schooling per census region, and it's striking to see the drastic difference in spending between regions with higher median incomes and higher education levels versus those of lower levels. 

What boundaries become apparent?

In particular, the boundary between North Baton Rouge and South Baton Rouge became very apparent in almost all of the population-related map layers. Whether in maps displaying race, education, income, access to resources, or unsuitable buildings, there is a clear disparity between South Baton Rouge and North Baton Rouge. In general, there were mostly African American and Asian people north of Florida Boulevard and mostly white people south of the boulevard; educational attainment levels (percent of the population in each census district who graduated high school) and median household income closely followed racial patterns, with higher percentages of those who did not complete high school and lower median household incomes in areas where African Americans reside with the opposite true in the majority of areas where white people reside. In addition, the majority of condemned buildings can be found in North Baton Rouge, with only a few in South Baton Rouge. When examining the layers of population distribution and hospital locations, many hospitals are clustered in areas of low population density, with the majority of hospitals falling below Florida Boulevard (Only six of the seventeen hospitals are north of or on Florida Boulevard.). 

What correlations can you draw?

The clearest correlations that I found were those between race, place of residence in the city, the median income of their district, and the educational attainment of their district. Generally, there was a positive correlation between African American populations living in north-bound districts with lower median incomes and higher levels of educational attainment. There was also a positive correlation between white populations residing in more southern districts with higher median incomes and lower levels of educational attainment. 

What boundary overlaps struck you as most intriguing and why?

I'm most fascinated by the Population Density + Hospital Location layers, as well as the  Median Household Income + Condemned Buildings layers and Median Household Income + Educational Attainment + Racial Boundaries layers. I think these layers are like jigsaw pieces that come together to form a completed puzzle of the Baton Rouge area. Each piece tells its own story, but each story is important to understanding the complicated, touchy racial, economic, and educational challenges the Baton Rouge population has faced in the past and is facing now. I think choosing just one piece to focus on doesn't relay the whole picture, and I think it's important to look at multiple layers so that all the perspectives possible can inform the viewer's opinion on the data in front of them. 

What do these maps tell us about Baton Rouge as a city?

They tell us that Baton Rouge may have declared racial equality a long time ago, but that we still have a long way to go before actual equality is secured. In future investigations, I'd like to look at Government Street in more detail. Government Street is one of the most intriguing streets in the city, in my opinion. Currently, it's going through a gentrification crisis of sorts as hip, millennial boutiques and restaurants flood one end of the street and downtown another. Past the facade of artistically crumbling walls, however, is a story of poverty. In the neighborhoods just past the street, many people, mainly African Americans, live in poverty, but with the area becoming more and more hip, there is an interesting dichotomy between "saving" an area that's fallen from great heights and "destroying" traditions and a neighborhood build on trust and long-time family. Other places I'd be interested in looking at are places with similar contrasts between populations who live there. For example, I'd like to look at the contrast between Bluebonnet Boulevard - a middle- to an upper-class neighborhood where bullets end up in squirrels and the stray possum - and Gardere, where bullets end up in people. Lastly, I'd like to look at the north end of LSU's campus; to the north, poverty reigns, but to the south the college-bound are immersed in knowledge, with only a plantation and a few restaurants bridging the gap between the two worlds. All of these places examine the intersection of poverty, race, access, and lifestyles of the people of Baton Rouge. 

     From prior knowledge, I knew that Baton Rouge was a racially divided city. But it wasn’t until I mapped it that I realized how racially divided it truly was. I found the map on the Advocate, and saw that white people and black people were for the most part divided along Florida Boulevard. I was shocked to see such a clear separation of race. How was such a stark division created? What were the results of this divide? 

     Unsettlingly, maps of household income and high school graduation correlated perfectly with the racial dot map. High school graduation percentages and household incomes came to a sharp drop north of Florida Boulevard. It was disheartening to see that racial disparities remain a significant problem to this day. I also made a distinct connection between education and wealth. Truly the only way to break the poverty cycle is through quality education. When graduation rates were low, so were incomes. These maps show clear segregation in Baton Rouge. Although I am disappointed, I can’t say I am surprised. Reintegrating our community would be a long process, one that would be very worth it in my opinion. I think that the demographics of the city would be altered drastic, positive ways if action was taken to integrate.

     Based on my research through this project, I am interested to explore these areas: north of Florida Boulevard, on the shores of the Mississippi River, and along Florida Boulevard itself. Although I have lived in Baton Rouge my entire life, I have now discovered areas that I have rarely visited or not set foot on at all. I want to discover the versions of Baton Rouge that I was unaware of. I want to explore how living by a major body of water effects one’s lifestyle, and how a single road can become a divider of people.

There are many different causes that create boundaries within the city. One of the most apparent ones that I noticed was the highways and how they divided striking distinctions in population. This physical boundary causes distinct differences in the population where one side of the road was heavily populated and the other was almost deserted. However, there are also some boundaries that are not as physical as road and highways. Things such as household income and flood areas create great boundaries, too. For example, there is a very clear correlation between poverty levels and the density of public schools. Along with these, the high school graduation levels also align with these maps.

The most intriguing overlap for me was between the hospitals and population density maps. The area where most of the hospitals are located is not heavily populated. However, around the North Baton Rouge, where there is a significant population density, there are limited hospitals, which are mostly closed, anyways. Priorly, I’d think that hospitals are built according to the level of necessity. I thought more population would lead to a higher need for hospitals, but apparently, this is not the case in Baton Rouge. The area around Bluebonnet is one of the places I’d investigate further to learn what required two hospitals to be built there within a mile radius.

After the interview with my aunt, she suggested that Government Street would be an interesting place to investigate. I didn’t realize it before, but when I compared the maps again, I realized how the area around Government Street was a mix of all qualities. There were houses with both high and low incomes. Thus, there were a few public schools along with some private ones. Also, this area was one of the few where both races (black and white) were almost mixed, instead of having a clear separation like in the other parts of the city. I agree with my aunt now that the area around Government Street would be an interesting place to investigate. Seemingly, there are no clear boundaries in the area, but maybe I’ll get a different view if I go there.

One thing I’ve learned throughout this assignment was how we couldn’t consider one aspect of the city by itself. Most of the layers we’ve compared aligned really well with each other and showed many parallels, such as the household income and high school graduation rate maps. With these maps, I also had the chance to take a step back and look at the city as a whole. Looking at the city, I saw the inequality and the stark separation between races. Northern areas here African American people were more present were also the areas with most condemned houses. Why were these two features directly proportional, though? Was it also because of the low household incomes? To understand one fact about the city, we may need to look through many layers and only when we put every layer together and take a step back, we can see the actual map of Baton Rouge.