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The Gini coefficient is a measure of inequality of incomes (or sometimes wealth) across individuals. A score of "0" on the Gini coefficient represents complete equality, i.e. every person has the same income. A score of 1 would represent the case in which one person would have all the income and others would have none.
Unemployment may seriously harm growth because it is a waste of resources, generates redistributive pressures and distortions, depreciates existing human capital and deters its accumulation, drives people to poverty, results in liquidity constraints that limit labor mobility, and because it erodes individual self-esteem and promotes social ...
Income inequality has increased in recent decades, and large tax cuts that disproportionately favor the very wealthy are predicted to further increase U.S. income inequality. [1] Actual income inequality and public views about the need to address the issue are directly related in most developed countries, but not in the US, where income ...
The advocacy organisation Greenlining cites EPA assessments finding that Blacks are exposed to 1.5 times more air pollutants causing heart and lung disease than whites, while exposure rates for Hispanics were 1.2 times the amount for non-Hispanic whites. People in poverty had 1.3 times the exposure of those not in poverty. [58]
For example, a low-income state like Mississippi — where the median income for an individual is the lowest in the country at $47,446 — also has the highest rate of persistent poverty at 24.4% ...
According to the latest data from the Census Bureau, 14% of Texas’ population of roughly 30 million people are living in poverty. This is higher than the national average of 11.6%, or 37.9 ...
The social determinants of health in poverty describe the factors that affect impoverished populations' health and health inequality. Inequalities in health stem from the conditions of people's lives, including living conditions, work environment, age, and other social factors, and how these affect people's ability to respond to illness. [1]
After statistical analysis, the first study concluded that "the percentage of community residents that belonged to a racial or ethnic group was a stronger predictor of the level of commercial hazardous waste activity than was household income, the value of the homes, the number of uncontrolled waste sites, or the estimated amount of hazardous ...