This graph illustrates the income disparity among racial groups in the US as of 2022. Asian Americans have the highest median income at $108,700, followed by White (non-Hispanic) individuals at $81,060. In contrast, Hispanic and African American individuals have significantly lower median incomes, at $52,860 and $42,800, respectively. These disparities likely stem from various factors, including differences in educational attainment, industry representation, and systemic barriers. The income gap underscores the need for initiatives aimed at closing wage gaps and promoting equitable economic opportunities for all racial groups, as such disparities can impact wealth accumulation, access to education, and overall quality of life.
The bar graph above displays U.S. education levels, with the highest number—over 17 million—at the college undergraduate level, followed by over 4.5 million in graduate school. The K-12 grades each have around 4 million students, indicating a steady distribution through the school system and a strong emphasis on higher education.
The figure above displays education enrollment across races in the US. One important detail about the data is that enrollment is approximately even up until higher education. In particular, it seems that Asian Americans tend to pursue higher education more than other races, especially Hispanic and African American. More specifically, the percentage of Asian Americans who are enrolled in undergraduate college is about 27% and 12% for graduate school. Meanwhile, the rates for other races are at least 5% lower for undergraduate school and 6% lower for graduate school.
The figure above compares the Gini index of each state in the US. The Gini Index is a statistical measure of income inequality, ranging between 0 to 1, with 1 being inequality and 0 being equality. In this visualization, the Gini Index is higher in states with a larger population and larger cities, such as New York and California.
The map above displays the amount of money each state spends on each student in the US. The map displays how typically the North East section of the US, tends to prioritize funding and education, while the South tends to neglect it.
From the data we gathered, we can conclude a correlation between education, income level, and race in the US. For instance, African American and Hispanic students attend undergraduate and graduate school at a significantly lower rate than White and Asian Americans. This ties in with income level because White and Asian Americans, on average, have a significantly higher income level than Hispanic and African American people. Additionally, it is important to note that geographically in the US, states with larger populations and large cities, face more educational inequality. Something interesting that we found was that these states with higher education inequality, actually funded education at a significantly higher rate than states with lower education inequality. We believe this may be because states with lower education inequality are less diverse, and thus people vary less in income, race, and education