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Comparative Analysis of the Housing Market in Monterey County: An Analysis of Each Community SBS 361: Introduction to GISCalifornia State University, Monterey BayBy: Angela Carrasco, Candy Luna-Sanchez, Corey TinayProblem Description The Great Recession of 2008 seemingly affected several different types of individuals. This project analyzed the effects of the Great Recession within Monterey County, California. We did this by performing a housing market variance report of Monterey County before (2004), during (2007), and after (2010) the recession. Additionally, redlining and segregation has occurred within American history, and we cannot fail to recognize that this possible circumstance could have some correlation to the housing collapse of 2008.Data ModelThe project utilizes sources such as Zillow, Monterey County Assessor, and US Government Census data. Data from these sources were then geocoded and represented in map format. This data is shown on the map to present the average sale price of homes in the area in relation to the time periods before, during, and after the housing crash/depression of 2008 and how it affected the area.Analysis & System Documentation Our group has separated Monterey County by the zip code, and will each gathered information about our specific zip codes. We use ArcGIS to make a spatial and temporal analysis of various variables. We first collected the median home price for every zip code by month and also by the year. From there, we utilized GIS; it helped us map our home value findings, analyze the price variances and then derive a conclusion as to which areas were most and least affected during the Great Recession. Also, we wanted to know which areas recovered quicker than others, GIS helped us analyze the effects and helped us understand which communities were the most and least affected. Secondly, we emphasized critical discourse analysis and critical race theory, and researched if those may have fueled the Great Recession. From there, we placed an emphasis on redlining and segregation that has occurred within American history to further determine if those factors had any correlation to the aftermath of the Great Recession. Specifically, we wanted to know if people’s race or income influenced the communities to have more or less foreclosure instances or home value declines. Additionally, we also wanted to know which housing markets were hardly affected and which recovered more quickly than others. The project has utilized many sources such as Zillow, Monterey County Assessor, and Census data. After we gathered our data, we looked at the communities within the zip codes that had the highest, median and lowest home price. From there, we gathered information on the community, such as the demographics to further derive a conclusion.From the data we collected, we added fields into our county shapefile attribute table and manually inputted the data.We inputted the three year average home values along with the percentage change between the six years.We then added more demographics according to each zip code. This map set goes into the breakdown of the races and diversity of areas separated by zip code and looks into the percentage change post housing crash and how the market had affected the area and the people of it.This map set looks into the income level breakdown by zip code in Monterey County, showing the disparities between the different population.Here are many examples of some of the data that was derived through our analysis of several factors at play. Results and Conclusions One of the main things we could conclude from our findings was the fact that although the housing market crash, certain areas were hit harder and have had slower rates of recovery compared to others. We were able to use census data to observe the discrepancies and attribute them to the breakdown of demographics and how things like population, age, race, and income influence the housing market of the represented areas. We were able to answer our research questions and also find more context to the complete situation in the process. We can conclude that areas with older people living there tended to recover more quickly, along with areas that can be considered less urban due to the fact the area is not densely populated. Here are many examples with what we have found:If examined at a closer level, the contrasting areas of Salinas and Pebble Beach reveal information about the differences within ethnicities and average income. Population Density plays a major role in this by illustrating the way in which areas with a higher density, such as the 93905 zip code in Salinas, tend to also have a lower average income then the rest of the geographical locations. 1143002667001143003952875These mapsets the diversity of the county and separates by zip code while examining the differing levels of average income. The next map analyzes house prices in 2007 and population density by ethnicity. -571499161925This is an analysis of the different ranges of rent rates per month separated by zip code in Monterey County. Median age is represented to show the disparity of ages and rent levels. Agriculture is shown to be the lower rent level range while coastal areas jump up even more so in the “artisan” communities. Analysis of the average price of homes in 2004 separated by zipcode on the coastal area of Monterey County. Different races are represented on map to show population density and diversity.Strengths and Weaknesses We think that if we had to do this project all over again, we would go out into the field and conduct interviews of people who live within each zip code for more qualitative research. Our research mainly revolved around quantitative research, but it is just a general outlook and we would like a more concise and accurate outlook by doing some field work. Additionally, we suggest that future research with this topic incorporate more data such as homeownership rates and rental rates. GIS can cover all of the map and statistical data and create visual representation of said data but cannot give personal experiences and perspectives, although it does set the grounds to tell this part of the story. ReferencesCalifornia Statistics - Housing Prices and Transactions (CA only). (n.d.). Retrieved from (ca-only).html The State of Working America. (n.d.). The great recession. Retrieved from Gross Income ................
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