Microsoft - DAT102x: Predicting Poverty in the United States
Hosted By Microsoft
About Poverty in the United States
Poverty is a problem that affects many here in the United States. Officially, more than 40 million Americans live in poverty. The struggle to earn an income spans urban and rural populations, demographic boundaries, and geographic borders.
The Robin Hood Foundation, which has a strong track record of tackling poverty head-on in New York City puts it this way:
Quite simply, poverty is a line. A line separating all Americans by one measurement: income. Those who earn over a certain threshold live above the poverty line; those with greater financial challenges live in poverty. Currently, the line is officially $24,600 for a family of four. In New York City, it’s nearly impossible to make ends meet on that income. For those living in poverty, life’s everyday hardships create a constant struggle to survive.
One way to help is through education, which is why our previous capstone challenges have focused on the relationship between earnings and student loan repayment. Access to an affordable education that in turn results in a good paying job provides opportunity for those living in poverty to begin to change their circumstances.
This is where data science comes in. Using your skills, we need to understand what factors are related to poverty rates in counties across the United States. A clearer understanding of these relationships will help to understand what drives poverty, and what we might do about it.
You can read more about poverty in the United States at these links:
Competition tile photo by Charles LeBlanc
Microsoft - DAT102x: Predicting Poverty in the United States: Rules and Terms of Data Use
DrivenData Competition Rules
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Documentation for winning solutions
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