9% LIHTC Competitive Allocation: QAP Scoring, Basis Boost, and Strategy

Key Takeaways

How Competitive Allocation Works

The 9% LIHTC competitive allocation is the most consequential bottleneck in affordable housing development. Each state receives a finite pool of 9% credits from the IRS based on population, as mandated by IRC Section 42(h)(3). The state housing finance agency (HFA) distributes those credits through a formal application process governed by a Qualified Allocation Plan (QAP), a regulatory document required under IRC Section 42(m)(1)(B) that defines scoring criteria, set-aside categories, threshold requirements, and tiebreaker rules. Projects compete against each other for a limited resource, and the QAP determines who wins.

Unlike 4% credits, which are generated automatically when a project meets the bond financing threshold, 9% credits must be won. In many states the competitive round draws more credit requests than the ceiling can fund, so applicants compete for a fixed pool. This makes the 9% allocation process as much a strategic exercise as a financial one. Site selection, deal structure, population served, and even the sequence of local government approvals are influenced by what the QAP rewards.

For underwriters and development analysts, understanding the 9% competitive process is essential because the likelihood of receiving an allocation directly affects deal feasibility. A project that scores well but misses the cutoff in one round must wait for the state's next funding round, with carrying costs, expiring entitlements, and shifting market conditions eroding the deal's viability in the meantime.

The State Allocation Ceiling

The total pool of 9% credits available in each state is set by the per-capita allocation ceiling, a formula set by IRC Section 42(h)(3)(C) and inflation-adjusted annually by the IRS. The One Big Beautiful Bill Act (OBBBA), enacted July 4, 2025, permanently multiplies the inflation-adjusted per-capita and small-state amounts by 1.12 starting in 2026. Per Rev. Proc. 2025-32, the 2026 per-capita amount is $3.416, with a small-state minimum of $3,953,600, about 14% above the 2025 figures ($3.00 and $3,455,000).

How the ceiling is calculated

Each state's annual ceiling equals:

State population × per-capita amount = Annual credit ceiling

For context, a state with 10 million residents receives approximately $34.16 million in annual 9% credit authority. At a 9% rate applied to qualified basis, this supports roughly $380 million in qualified basis. As an illustrative assumption, at $11 million to $15 million of qualified basis per project, that is roughly 25 to 35 projects.

Table 1: Per-capita allocation ceiling, 2024-2026 (IRS Rev. Procs. 2023-34, 2024-40, and 2025-32). The 2026 amounts are about 14% above 2025, combining the annual inflation adjustment with the OBBBA 1.12 multiplier.

Forward commitments

State HFAs can also make forward commitments, awarding credits from a future year's ceiling to a current-year project. This is common when a highly scored project narrowly misses the current-year cutoff, or when a state wants to fund a strategically important project that exceeds the current year's remaining capacity. Forward commitments effectively borrow from next year's pool, reducing the credits available in that future round.

Returned and unused credits

Credits that are returned (because a project fails to proceed) go back into the state's own ceiling for the year they are returned, and unallocated ceiling carries forward one year (IRC Section 42(h)(3)(C)). Ceiling still unallocated after that carryforward year is assigned to a national pool that the IRS reallocates the next year among "qualified States" (those that allocated their entire prior-year ceiling and request a share), in proportion to population, under IRC Section 42(h)(3)(D). This mechanism provides a small additional source of credits, but the amounts are modest and unpredictable, so do not underwrite against them.

QAP Scoring Categories

Every state's QAP is different, but the federal statute (Section 42(m)) requires that all QAPs give preference to certain types of projects. Beyond these federal requirements, each state adds its own priorities, weighting, and threshold criteria. The result is 50+ distinct scoring systems across the states and territories, each reflecting local housing needs and policy goals.

Despite this variation, most QAPs share common scoring categories. Understanding these categories, and how they're weighted in your target state, is the foundation of competitive strategy.

Federally required preferences

Section 42(m)(1)(B) requires that QAPs give preference to:

• Projects serving the lowest-income tenants. Most states award significant points for targeting 30% AMI or 40% AMI populations, beyond the federal minimum set-aside (20/50, 40/60, or the average-income test).
• Projects obligated to serve qualified tenants for the longest periods. Extended affordability commitments beyond the 30-year minimum (some states require 40 or 50 years) receive additional points.
• Projects located in Qualified Census Tracts (QCTs) that contribute to a concerted community revitalization plan.

Common state-level scoring categories

Set-asides and geographic pools

Most states divide their credit ceiling into set-asides, reserved pools for specific project types or geographies. Common set-asides include:

• Nonprofit set-aside (federally required under IRC Section 42(h)(5): at least 10% of credits must go to projects with qualified nonprofit sponsors)
• Rural set-aside (a state-set share of credits reserved for non-metro projects; the share varies by state)
• Preservation set-aside (for rehabilitation of existing affordable housing, especially expiring Section 8 or Year 15 LIHTC projects)
• Geographic pools (credits divided by region, e.g., Chicago metro vs. downstate Illinois, NYC vs. upstate New York)
• Supportive housing set-aside (permanent supportive housing, mental health, substance use treatment)

Set-asides matter for competitive strategy because a project competes within its pool, not against the entire state. A rural project may have a lower absolute score than an urban project but still win its allocation because it's competing within a smaller, dedicated pool.

The 130% Basis Boost

The basis boost is one of the most powerful tools in LIHTC deal structuring. Projects located in Qualified Census Tracts (QCTs) or Difficult Development Areas (DDAs) receive a 130% multiplier on their eligible basis, increasing the credit amount (and therefore the equity) by 30%. For a project that already qualifies for a QCT or DDA designation, the boost can be the difference between a feasible deal and a gap that cannot be closed.

QCTs and DDAs defined

Qualified Census Tracts (QCTs) are census tracts where 50% or more of households have incomes below 60% of the area median gross income (AMGI), or where the poverty rate is 25% or higher, as defined in IRC Section 42(d)(5)(B)(ii). HUD designates QCTs annually using American Community Survey data, and the list is published on the HUD User website. A census tract cannot be designated as a QCT if the metropolitan area's QCT population would exceed 20% of the metro's total population.

Difficult Development Areas (DDAs) are areas where construction, land, and utility costs are high relative to the area's income levels, as defined in IRC Section 42(d)(5)(B)(iii). HUD designates DDAs annually in aFederal Register notice. Inside metro areas, HUD designates DDAs by ZIP Code Tabulation Area (Small Area DDAs), comparing Small Area Fair Market Rents with metro very-low-income limits. Outside metro areas, it designates whole non-metro counties. Designated metro DDAs, taken together, may not contain more than 20% of the aggregate population of all metro areas, with a parallel cap outside metro areas. A site in a high-cost metro is a DDA only if its ZIP area is on the list, so check the specific ZIP, not the metro.

How the boost works

The 130% basis boost scales eligible basis by 1.30. Qualified basis is then the applicable fraction of that boosted eligible basis:

Eligible Basis × 130% × Applicable Fraction = Qualified Basis

Because the credit is qualified basis × applicable percentage, a 130% boost raises the annual credit by exactly 30%, whatever the applicable fraction. Here is a worked example:

Table 2: The 130% basis boost adds $4.86M in tax credit equity to a $20M eligible basis project. That is nearly $5M in additional equity from a QCT or DDA designation, with no additional development cost.

State-designated basis boost

State HFAs also have discretionary authority under IRC Section 42(d)(5)(B)(v) to grant a basis boost to buildings not located in QCTs or DDAs. States use this "state-designated basis boost" to support projects in high-cost areas that don't meet the QCT or DDA thresholds, or projects that serve specific policy goals (e.g., deeply affordable housing in high-opportunity areas), with the rules set out in the QAP. The mechanics are identical to the QCT/DDA boost: eligible basis × 130%. Two conditions apply: the agency must find the boost necessary for the building's financial feasibility, and the state-designated boost is not available to 4% bond-financed buildings. If you are dual-tracking, model the 4% path without it unless the site is in a QCT or DDA.

Competitive Strategy

Winning a 9% allocation is not about building the best project. It is about building the project that scores the highest under the specific QAP in your target state. Experienced developers treat the QAP as a design brief. Every material decision (site selection, unit mix, income targeting, building systems, service partnerships) is evaluated through the lens of QAP points.

Read the QAP first, design the project second

This is the most common advice in the industry, and the most commonly ignored. Developers who identify a site and then try to optimize their QAP score are working backwards. The highest-scoring projects start with the QAP scoring matrix and work backward to identify sites and structures that maximize points.

• Map the points. Build a scoring spreadsheet with every point category, the maximum points available, and the specific criteria for each tier. Identify where the marginal points are: the categories where small design or structuring changes yield significant scoring gains.
• Identify the likely cutoff. Review prior-round results (most states publish award summaries). What was the cutoff score in your target set-aside or geographic pool? How many points separated the last funded project from the first unfunded? In competitive pools, that margin can be only a few points, so every category counts.
• Focus on high-weight categories. Income targeting and location/opportunity typically carry the most weight. A project that maximizes these two categories and achieves median scores elsewhere will often beat a project that spreads its effort across all categories.

The tiebreaker problem

When multiple projects receive the same score (which happens frequently in states with objective scoring systems), tiebreaker criteria determine the winner. Common tiebreakers include:

• Lowest credit request per unit: incentivizes efficient credit usage and cost discipline
• Deepest income targeting: projects serving lower AMI levels win the tie
• Geographic distribution: preference for projects in counties or regions that haven't received recent allocations
• Readiness to proceed: projects with zoning approvals, environmental clearance, and committed financing score higher
• Leverage of non-LIHTC sources: projects that bring more non-credit capital win the tie

Tiebreaker criteria should be modeled explicitly. In states where ties are common, the tiebreaker, not the scoring system, is effectively the deciding criterion.

Dual-track strategy

Many sophisticated developers pursue 9% and 4% paths simultaneously. They apply for the competitive 9% allocation while preparing a 4% bond application as a backup. If the 9% application succeeds, they proceed with the higher-equity structure. If it fails, they pivot to the 4% bond deal without losing the development timeline. This requires designing a project and capital stack that works under both credit types, a meaningful underwriting exercise but one that experienced teams build into their standard workflow. Model the 4% path without any state-designated basis boost, which is not available to bond-financed buildings.

Common Mistakes

These are the errors that cost developers allocations or lead to inaccurate underwriting of 9% deals:

• Carrying a state-designated boost into the 4% backup plan. The state-designated 130% boost under IRC Section 42(d)(5)(B)(v) applies only to buildings allocated credits under the state ceiling. It is not available to buildings financed with tax-exempt bonds. A dual-track model that keeps the boost on the 4% path overstates that path's equity by 30% unless the site is in a QCT or DDA.
• Assuming QCT/DDA designations are permanent. HUD updates QCT and DDA lists annually. For 9% deals, the boost follows the list in effect when credits are allocated. If your site drops off a later list, you keep the boost as long as your complete application was submitted before the new list took effect and credits are allocated within 730 days of that submission. (Bond-financed 4% deals key off bond issuance and placed-in-service dates, with a parallel 730-day protection that runs from a complete application to the bond issuer.) Confirm the dates against HUD's annual notice.
• Ignoring set-aside pool dynamics. A project with a 90-point score in a competitive urban pool may lose, while an 82-point project in a rural set-aside wins. Absolute score is meaningless; only your ranking within your pool matters. Analyze the competition in your specific pool, not the statewide results.
• Underestimating readiness-to-proceed points. Many QAPs award significant points for site control, zoning approval, environmental review completion, and committed financing. These are not afterthoughts; they are often the difference between winning and losing. Budget the time and cost to secure these approvals before the application deadline.
• Using stale per-capita ceiling figures. The 2026 ceiling reflects the OBBBA 1.12 multiplier. Using the 2025 figure ($3.00 per capita) understates the 2026 pool by about 12%, which may lead to overly conservative assessments of how much credit a state can award. Always use the current-year amount the IRS publishes in its annual inflation-adjustment revenue procedure.
• Requesting more credits than necessary. States evaluate the reasonableness of the credit request relative to project costs. A request that exceeds what the project needs (a "gap" analysis showing excess equity) will be penalized or reduced. Many tiebreaker systems also favor lower credit requests per unit. Right-size the credit request to the actual gap.

How to Model It

A 9% deal pro forma shares the core structure of any LIHTC model (eligible basis, qualified basis, credit calculation, sources and uses, operating pro forma) but has specific requirements driven by the competitive allocation process.

Credit Calculation tab (with basis boost)

The credit calculation should clearly show each step, with the basis boost as an explicit multiplier:

• Total development cost
• Less: exclusions (land, reserves, syndication costs, permanent financing costs)
• = Eligible basis
• × Basis boost (130% if QCT/DDA, or if state-designated on a 9% ceiling deal; 100% otherwise)
• = Boosted eligible basis
• × Applicable fraction (lesser of unit fraction or floor space fraction)
• = Qualified basis
• × Applicable credit percentage (9%, floored)
• = Annual credit amount
• × 10-year credit period
• = Total credits
• × Credit pricing ($/credit)
• = Tax credit equity

Make the basis boost a toggle cell (dropdown: 100% or 130%). This allows you to instantly see the deal with and without the boost, which is critical for evaluating whether to pursue a QCT or DDA site.

Gap Analysis tab

The gap analysis is what the state HFA uses to determine whether your credit request is reasonable. It compares total sources (including the requested credits) to total uses. The gap should be zero or slightly positive (a small surplus for contingency). A negative gap means the project is underfunded. A large positive gap means you're requesting more credits than the project needs, which will be flagged and likely reduced.

Structure the gap analysis to be dynamic: when you change the credit pricing, the equity changes, and the gap adjusts. The gap should be filled by flexible sources (deferred developer fee, within your state's deferral limit; sponsor equity; or adjustable soft debt) that can expand or contract to balance the equation.

QAP Scoring Self-Assessment tab

This is not a standard financial tab, but experienced developers include it in every 9% application workbook. Build a self-scoring matrix that mirrors the state's QAP scoring sheet:

• Each scoring category as a row
• Maximum points available
• Points claimed (with documentation reference)
• Points at risk (categories where documentation is incomplete or interpretation is uncertain)
• Total projected score
• Comparison to prior-round cutoff scores

This tab serves as a project management tool during the application process and as a risk assessment for the investment committee deciding whether to commit predevelopment capital to a competitive application.

Sensitivity Analysis

For 9% deals, the key sensitivities are:

• Credit pricing. A $0.04 swing (an illustrative $0.88 to $0.92 per credit) on a $2M annual credit changes total equity by $800K over the 10-year period. At typical deal sizes, this is the difference between a balanced sources and uses and a gap.
• Construction costs. A 5% hard-cost overrun on a $25M budget adds $1.25M to eligible basis. In formula terms that is up to about $1.0M of extra equity at 9% and $0.90 (about $1.3M with the 130% boost). But the credit a building can claim cannot exceed the amount allocated to it (IRC Section 42(h)(1)), and the agency sizes that allocation to what it finds necessary for feasibility (IRC Section 42(m)(2)). A post-award overrun therefore cannot be recovered through more credits unless the agency awards more, so it usually falls to the gap.
• Basis boost eligibility. Run the deal with and without the 130% boost. If the deal only works with the boost, the QCT/DDA designation is a critical path dependency: confirm that the site is on the HUD list that will apply on your allocation date.

The test of a good 9% model: pull the basis boost from 130% to 100% and see if the gap financing adjusts automatically. The deal will likely show a shortfall, but if you have to manually recalculate anything, the model isn't properly linked.

Related Articles

This article is part of the LIHTC underwriting series. Each article covers a specific aspect of tax credit deal structuring:

• LIHTC 101: 4% vs 9%
• 4% LIHTC with Tax-Exempt Bonds
• Investor Returns
• The LIHTC Capital Stack
• Year 15 Exit Strategies
• Rent and Income Limits