Data Analysis – MC

According to the Newark Community Economic Development Corporation (Newark CEDC) website, the city of Newark is divided further into five wards: North, East, Central, East and West Wards. Furthermore, the North, Central and West Wards are where residents mainly reside while the remaining wards the location of industry (Newark CEDC website). To capture the city of Newark as accurately as possible on the EJScreen map, I chose to use the polygon tool and tried to capture the land which was located within the city boundaries as closely as possible. Because the polygon tool is not as sensitive as I would have liked, I tried my best to exclude areas not within the boundaries and tried not to exclude areas which were within city limits. I drew the boundaries on the EJScreen map in reference with Newark city related websites which showed the authentic boundaries of the city. Because the lead leaching in water crisis is a problem throughout the city, I chose to include the entire city on the map.

According to the environmental tabulated data, the values of each indicator (with one or two exceptions) are all greater than the 50th percentile; in fact, each indicator is in the 80-90th percentile range, if not more (in comparison to state and national data). For example, for indicators of the following: wastewater discharge, proximity to hazardous waste, proximity to superfund sites, proximity to traffic/volume, NATA respiratory hazard index, NATA air toxics cancer risk, and diesel particulate matter, the city of Newark falls into the 80th percentile or greater for each value in comparison to the state and the nation. This means that for each indicator mentioned, there are only 20% of other locations in the state and nation which have even higher amounts of these environmental issues. Thus, this data shows that Newark performs very poorly in terms of the health of the environment and the exposure of its citizens to detrimental environmental factors, as compared to other areas in the state and country.

According to the demographic tabulated data, the city of Newark has a majority minority population (86th percentile in state, 89th percentile in nation), high low income population (89th in state, 82nd in nation), majority linguistically isolated population (86th in state, 92nd in nation), and majority population with less than high school education (89th in state, 86th in nation). “Linguistically isolated” refers to “percent of households in which no one age 14 and over speaks English ‘very well’ or speaks English only (as a fraction of households)” (according to the Glossary of EJScreen Terms). These data show that the population of Newark is mostly composed of people who are minorities, are at a disadvantage with English communication, often lack a high school education and are often part of low income households. This means that citizens are often disadvantaged financially, academically, and probably lack equal access to resources. The percentage of the population who are not able to speak proficiently in English are also disadvantaged because of the language barrier and how one’s command of English often determines how much one is able to understand what is happening and communicate one’s wants/needs/demands. In relation to Sheila and Cole Foster’s book, From the Ground Up, these demographic information seem to be similar to the report given to waste-site companies which describe the types of communities who are the least likely to resist placement of hazardous waste sites in their neighborhoods.

The people of Newark are exposed to more environmental hazards than the majority of people in the state of NJ and the nation and are also part of a group of people who are financially and socioeconomically disadvantaged and more likely to have unequal access to resources. The combination of these two types of data are similar to profiles of other groups who suffer from cases of environmental injustice. Because my research has more to do with the lead in the water system, I probably will not be able to use the specific environmental data. However, I intend on using the demographic data and comparing it with the demographic data in Flint, Michigan.