
The ratio compares each state’s share of federal funding to
its share of the U.S. population. A ratio of 1.0x means a state receives
funding proportional to its population size. Above 1.0x indicates the
state receives more than its proportional share; below 1.0x means it
receives less.”
What the Map Reveals:
- The map makes the distribution of per capita funding immediately
visible. The darkest shading on the entire map belongs to Red states —
Montana and North Dakota stand out as the clear leaders in per capita
funding, with South Dakota and West Virginia also showing notably deeper
color intensity. Across the rest of the map, Red states in the South and
central U.S. display a broad spread of moderate shading, indicating
consistent mid-range per capita funding.
- By contrast, Blue states — concentrated along the coasts — are
predominantly light in color, with the exception of Vermont and Maine in
the Northeast.
- Large Blue states like California, New York, and Illinois appear
notably pale, meaning their per capita funding falls well below smaller
Red states despite receiving large total dollar amounts.

ggsave("party_percapita_stacked.png", width = 12, height = 16, dpi = 300)
Key Takeaway:
- Federal IIJA funding does not appear to favor Blue states. Among
states receiving above-average per capita funding, the top four are all
Red states — suggesting that political alignment did not drive favorable
treatment under the Biden administration. Additionally, a larger
proportion of Blue states fall below the national mean, and their
shortfalls tend to be more consistently spread.
- By contrast, fewer Red states fall below the mean, and those that do
tend to cluster closer to the national average. In short, the data
suggests that population, infrastructure needs, and formula-based
allocation — not party affiliation — are the primary drivers of federal
funding distribution.

This project applied exploratory data analysis and visualization
techniques to investigate whether federal IIJA funding distribution
reveals political bias by examining total funding, per capita
allocation, and population-funding ratios across all 50 states. Using
dumbbell plots, diverging bar charts, choropleth maps, and scatter
plots, the analysis layers multiple perspectives to guide the viewer
through a data-driven narrative — from broad national patterns to
state-level exceptions. The visualizations demonstrated that per capita
funding favors smaller, predominantly Red states, suggesting that
formula-based allocation and infrastructure need outweigh political
affiliation in determining federal funding distribution.