Question.1164 - Growing up many of my friends and classmates had asthma. Subconsciously, I must have accepted that it was a natural occurrence that Black and Brown children were more likely to have asthma than others. I assumed like others that this was genetic. Not until college, when I learned about environmental racism, did I realize that these poor health outcomes had very little to do with their race and everything to do with their neighborhood. For this discussion, you will be exploring your own neighborhood. Using this toolLinks to an external site., identify the life expectancy associated with your address. This tool is based on census data so some zip codes may be unavailable. In that case, choose an address you are familiar with that has a different zip code (school, grandparent's home, family members, church, etc.). How does the life expectancy rate of your zip code compare to SMC (85.1) and John C. Fremont High School in South Central (74.3)? What factors do you think influence the life expectancy rate? How does redlining impact the life expectancy in that area? Refer to the map you were provided with earlier in the semester. https://joshbegley.com/redlining/losangelesLinks to an external site.
Answer Below:
Compared xx SMC xxx John x Fremont xxxx School xxx life xxxxxxxxxx rate xx my xxxxxxxx is x hypothetical xxxxxxx estimated xx the xxxx of xx additional xxxxxx of xxxxx the xxxxxx is xxxxxxxx to xxxx Moreover xxx most xxxxxx way xx measure xxx life xxxxxxxxxx of x person xx the xxxx expectancy xx birth xx also xxxxxxxx the xxxxx conditions xxx life xxxxxxxxxx at xxxxx There xxx various xxxxxxx responsible xxx life xxxxxxxxxx some xx them xxxxxxxxx lifestyles xxxxxxxx and xxxxxxxx and xxxxxxxxx conditions xxx discriminatory xxxxxxxx of xxxxxxxxxx denial xx the xxxxxxxxx of xxxxxxx areas xxx services xxxx as xxxxxxxxx loans xxxxxxxxx and xxxxxxxxx services xxxxx on xxxxx ethnicity xx race xx called xxxxxxxxx The xxxxxxxxx areas xxx more xxxxx to xxxxxxxxxxxxxxxx diseases xxx life xxxxxxxxxx can xxxx be xxxxxxxx due xx environmental xxxxxx It xx evident xxxx low-income xxx people xx color xxxx to xxxx such xxxxxxxxxxxxxx They xxx also xxxx likely xx stay xxxx places xxxx are xxxx prone xx diseases xxxxx places xxxx pollution xxxxx is xxx for xxxxx health xxxxxxxx to xxx whites xx people xxxx high xxxxxxx living xx better xxxxxx There xxx different xxxxxxxxxxxxxx including xxxxxxxxxxx segregation xxx housing xxxxxxxxxxxxxx The xxxxxxx of xxxxxxxxxxxxx racism xx linked xx the xxxxxxx of xxxxxxx and xxx black xxxxxxxxx is xxxx with xxxxxxxxx sickness xxx poverty xxxxxxxx during xxx coronavirus xxxxxxxx the xxxxx community xxx most xxxxxx to xxxxxx from xxx highest xxxxx rates xxx virus xxx more xxxxxx in xxxxxx with xxxxxx air xxxxxxxxx mainly xxxxxxxxx by xxxxx communities xxx connection xxxxxxx pollution xxxxxxxx and xxxxxxxxxxx outcomes xx a xxxxxx of xxx pollution xxxxxxxxxxx and xxxxxx in xxxxx communities xxx linkedIn xxx affected xxxxx redlining xxx a xxxxxxxxxxx impact xx the xxxx expectancy xx the xxxxxxxxx The xxx shows xxxxxxxxx in xxxxxxx locations xxx location xx the xxxxxxxx zip xxxx is xxxx from xxx redliningMore Articles From Ethics
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