Formula Funds vs. Earmarks: How Federal Infrastructure Dollars Actually Move

Claims that one party’s states receive more federal infrastructure money than the other’s usually lean on a single anecdote: an overlooked county, a flashy bridge grant, or a convenient ribbon-cutting.

A single case cannot demonstrate bias. Federal infrastructure funds move through several distinct channels, each with fundamentally different degrees of political discretion built in.

Evaluating federal infrastructure allocations along partisan lines requires knowing which channel you are inspecting. This guide breaks down how these funding streams work, where human judgment enters, which patterns are routinely mistaken for political favoritism, and how to verify your own state or district using public data.

Formula Funding vs. Discretionary Grants: Why the Distinction Decides Everything

Headline comparisons frequently lump all infrastructure dollars into a single aggregate total. That total obscures critical operational differences across three main distribution channels:

1. Formula Funding: Distributed by rules codified directly into statutory law. Under the Federal-Aid Highway Program, for instance, the Federal Highway Administration (FHWA) apportions funds to state departments of transportation based on statutory factors like lane miles, vehicle miles traveled (VMT), and fuel tax contributions. Congress writes the formula, agency staff calculate and disburse the math. A cabinet secretary or a president cannot arbitrarily withhold or augment a state’s statutory apportionment.
2. Discretionary Grants: Competitive awards authorized under programs such as RAISE, INFRA, and Mega. Project sponsors submit detailed applications, agency civil servants score them against published evaluation criteria, and agency leadership makes final award selections. Discretion and subjective policy preferences are intentionally designed into this process.
3. Earmarks (Community Project Funding): Member-directed spending where a lawmaker explicitly requests funding for a named local project, which is then written line-by-line directly into an appropriations bill. Political leverage is direct, transparent, and openly exercised by the legislator.

A disparity in formula funds reflects the statutory math negotiated and approved by both parties in Congress. A disparity in discretionary awards reflects agency criteria or differences in local grant-writing capacity. A disparity in earmarks reflects legislative seniority and committee power.

Lumping all three channels together conceals these mechanisms. Any serious funding analysis must begin by splitting the aggregate total into its component streams.

Where Human Judgment Enters the System

Even in a rules-based framework, subjective judgment exerts leverage at several predictable junctures:

• Drafting the Statutory Formula: Formulas require choosing specific inputs population size, lane miles, diesel tax receipts, bridge deck area. Emphasizing lane miles favors large, rural states, emphasizing population favors dense, urban ones. Small-state minimum guarantees deliberately shift dollars away from pure population-based allocations. These decisions are negotiated during committee markups, giving members of key transportation and infrastructure committees disproportionate influence over the baseline rules.
• Selecting Earmarks: Lawmakers submit project requests, but appropriations committee leaders determine which proposals survive into the final bill text. Majority party members, committee chairs, and senior appropriators routinely secure larger shares of available community project allocations.
• Agency Grant Selection: While civil service reviewers score competitive applications against public rubrics, leadership exercises discretion when weighting subjective criteria, resolving score ties, and establishing program priorities in Notices of Funding Opportunity (NOFOs).
• State-Level Pass-Through: The stage most national analyses overlook. Once federal formula dollars reach a state capital, state transportation departments guided by the governor, state legislators, and regional Metropolitan Planning Organizations (MPOs) decide which specific projects receive funding. A state can receive its full federal apportionment while its leadership chooses to direct those dollars unevenly across internal counties and districts. If your community missed out, the decisive choice was likely made in your state capital, not in Washington.

Reading Allocation Data: The Four Budget Stages

State-by-state funding summaries frequently blend different points in the funding lifecycle into one figure. When evaluating project tables or tracker databases, distinguish between these four stages:

• Apportioned or Allocated: The statutory maximum made available to a state by formula for a given fiscal year.
• Announced Awards: Competitive grants that an agency has publicly designated for funding, though formal contracts have not yet been signed.
• Obligated Funds: Dollars the federal government has formally committed to a legally binding project agreement or contract.
• Spent or Reimbursed: Outlays actually paid out from the federal treasury as contractors complete work milestones and submit invoices.

Announced, obligated, and expended figures follow entirely different timelines. A state that appears “behind” on federal infrastructure funding may simply have major multi-year capital projects undergoing environmental review or engineering design before formal obligation and cash reimbursement begin.

Three Patterns That Look Like Bias (and How to Test Them)

Pattern 1: Per-Capita Gaps Between Red and Blue States

Per-capita comparisons often show significant funding gaps between states controlled by opposing parties.

Before assuming partisan bias, account for geographic geometry:

• States with vast geographic areas, extensive highway lane miles, and small populations receive significantly higher per-capita formula shares.
• Statutory small-state minimum allocations deliberately inflate per-person figures for low-population states.

The Test: Compare jurisdictions with similar population density, lane mileage, and road conditions that are governed by different political parties. If the disparity disappears, the statutory formula explains the variance.

Pattern 2: Competitive Grants Clustering in Specific Districts

When discretionary grants appear concentrated in districts of one party, check the applicant pool first. Preparing federal grant applications requires specialized engineering staff, grant-writers, and local matching funds. Larger metropolitan areas and well-funded regional authorities submit significantly more applications than resource-constrained rural agencies.

The Test: To evaluate bias, review the denominator: total applications submitted, total applications scored as “highly recommended,” and final awards issued. Assessing only winning applications cannot establish political favoritism.

Pattern 3: Lawmakers Promoting Projects They Voted Against

Lawmakers frequently attend groundbreakings and issue press releases for projects funded by legislation they opposed on the floor. While this is an exercise in political credit-taking, it indicates nothing about corrupt allocation. Formula funds flow to state agencies automatically under statutory rules, regardless of whether a district’s representative voted for or against the authorizing bill.

The Test: Check the underlying funding stream. Only an earmark directly requested by that lawmaker represents an individual legislative action.

What Public Data Cannot Reveal

Public databases provide substantial transparency, but they come with structural limits that researchers must state clearly:

• The Counterfactual: Records reflect where funding went, not where it would have gone under different scoring criteria or statutory weightings.
• Unsuccessful Applicants: Denied earmarks and unfunded grant applications are frequently excluded from summary databases, obscuring which communities were rejected.
• Internal Review Deliberations: Reviewer scorecards, internal deliberations, and executive sign-off memos are rarely published in full.
• Prime Recipient vs. Project Location: Federal tracking tools often record the administrative headquarters of the primary recipient (such as a state agency or regional authority) rather than the precise geographic coordinates of the construction site.
• Underlying Structural Need: Dollar figures alone do not indicate condition. Two states may receive identical allocations while one possesses twice as many structurally deficient bridge decks.

A 5-Step Method to Audit Your District’s Funding

1. Sort Funds by Channel: Isolate statutory formula apportionments, competitive grant awards, and member earmarks into separate columns before calculating any totals.
2. Retrieve Primary Records: Pull data directly from USAspending.gov, agency apportionment notices (such as FHWA Notice N4510 series), and congressional committee project request disclosures. Record whether amounts are apportioned, obligated, or outlaid.
3. Normalize for Scale and Need: Divide figures by population, total lane miles, and structural conditions (such as poor-condition deck area from the National Bridge Inventory).
4. Benchmark Against Genuine Peers: Select comparison districts or states with comparable population densities, lane miles, and infrastructure age across both political parties.
5. Track Multi-Year Obligation Baselines: Single-year grant cycles fluctuate significantly based on mega-project timing. Evaluate funding across multi-year authorization windows (such as five-year surface transportation reauthorizations) to distinguish between structural funding levels and temporary timing anomalies. Trace whether project selection occurred at the federal agency level or through your state’s transportation planning board.

When reporting findings, precision matters. Concluding that “a district’s allocation matches statutory formula drivers, while competitive awards cannot be fully evaluated because application counts are unavailable” is more rigorous, defensible, and accurate than sweeping claims of political bias.

Use the accountability toolkit to pull your own district’s numbers, and cross-check the lobbying angle with the guide on how to trace lobbying money to a bill before drawing conclusions.