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An Analysis of How the Housing Market Affects Impoverished Neighborhoods

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I. Introduction The housing demographics of low-income communities have large effects for residents living in those areas. The objective of this report is to shed light on how the housing market in the city of Oakland affects current and future residents. In order to analyze its affects, I look at several factors within the housing market. There are several factors explaining why cities similar to Oakland are continually impoverished and deprived. Some of the factors that explain why cities like Oakland stagnate and remain impoverished are the income distribution and poverty levels of residents in Oakland over the past decade, the increase in rent and/or spending on housing, and the current condition of housing stock. Together, these …show more content…

The ACS is conducted in 1-year, 3-year, and 5-year estimates. When deciding upon which dataset to use, I thought about which dataset would trump the others. Opposed to the 1-year estimates, the 3-year estimates collected 36-months worth of data and had a larger sample size than 1-year so it was more reliable. Additionally, the data was more current than the 5-year estimates so I conclusively decided to use data from the 3-year estimates, as they were more precise and more current. In the following section, I will explain the results that I observed through the juxtaposition of both datasets. Additionally, I will use tables and line graphs to support the results. III. Results Pulling relevant variables from the two datasets, I compiled Table 1 and Figure 2 (same results, just in visual format), which depict the demographics of the city of Oakland from 2000 to 2010. Table 1 and Figure 1 both show that the population of Oakland decreased about 2.61% from 399,477 in 2000 to 389,301 in 2010. In addition, I have also provided on the same table the number of owner and renter occupied units to illustrate the interesting shift of owner-occupied housing units to renter-occupied housing units. From 2000 to 2010, the percentage of owner-occupied housing decreased from 41.4% to 41.2% while the percentage of renter-occupied housing increased from 58.6% to 58.8%. The ±0.2 percentage differences illustrate the shift from ownership to

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