pece_annotation_1524609852
AlvaroGimenoImportant date correspond to: close to a 50% of childs with less tha 3 years are in low income families. Whereas a 26% are poor (from the same group.)
Important date correspond to: close to a 50% of childs with less tha 3 years are in low income families. Whereas a 26% are poor (from the same group.)
this graph is a perfect representation of the affects any thing can have on communities. this graph can be correlated with things like natural disasters and their would be an increase in numbers.
As a sesearch from the Rotgers University, the students or researchers support:
- The child poverty in becoming more concentrated. With the numbers next to us, we can say that a 52.5% of the poorest childs live in census were the concentration is above a 40%
- Inner-ring suburbs of Orange, East Orange, and Irvington have seen the largest increases in child poverty.
- Essex County’s smallest municipalities have very low child poverty, although many have seen their child poverty rates increase by more than 50 percent since 2000
children were tested for lead poisoning and their was a correlation between those who had lead poisoning and those who were homeless or a victim to poverty.
First of all I would like to highlight the first source used in the new. The map with the risk on air polution in Newark.
Now I'll point out the two qutes suggested:
"Air quality was analyzed using proximity to 5 factors: major roads, truck routes, rail lines, Newark airport are all nonpoint sources and facilities that have violated their major permit at least once within the last 3 years are point sources. Point sources were buffered 1 miles for the area of high risk, and 1.5 miles for the area of elevated risk."
(at the begging of the last paragraph)
"This project is an attempt to identify those areas of high risk and the people being affected by poor air quality. It can be used to inform the public about their risk and to influence policy makers and developers."
(the fourth paragraph)