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Which states have the highest number of residents receiving ACA subsidies?
Executive Summary
The available analyses point repeatedly to large, populous states—Florida, Texas, and California—as the states with the highest number of residents receiving Affordable Care Act (ACA) marketplace premium tax credits in recent years, with Florida and Texas consistently reporting the largest counts and California third [1] [2] [3]. Different datasets and years produce varying totals, but the pattern is driven by population size and marketplace enrollment; some sources show Florida and Texas exceeding 3–4 million enrollees receiving subsidies in 2025, while California’s counts are consistently lower but still among the top three [1] [3]. Below I unpack the key claims, reconcile differences across the provided analyses, flag methodological caveats, and explain how subsidies per enrollee differ from total recipient counts.
1. Big States, Big Numbers: Why Florida, Texas, and California Dominate the Counts
Florida and Texas appear at the top of state lists because they combine large populations with high marketplace enrollment, producing the largest absolute numbers of residents receiving premium tax credits; one dataset reports Florida with roughly 4.47 million enrollees receiving credits, Texas with about 3.71 million, and California with about 1.75 million as of March 15, 2025 [1]. Another analysis from KFF using a different snapshot reports similar rank-ordering but larger totals—Florida 4.74 million, Texas 3.97 million, and California 1.98 million—reflecting variation in enrollment snapshots and whether automatic reenrollments are included [3]. Population size and marketplace participation, not per-enrollee generosity, primarily explain these totals, which is why populous Sun Belt states lead despite not having the highest average subsidy amounts per enrollee [1] [2].
2. Different Measures, Different Stories: Counts vs. Average Subsidy
Analysts distinguish between two related but distinct metrics: the number of marketplace enrollees receiving advanced premium tax credits and the average monthly subsidy per enrollee. KFF’s ranking of average monthly subsidy lists states like West Virginia, Alaska, and Wyoming at the top by dollar amount, driven by lower incomes and higher actuarial plan costs in those states [2]. High average subsidies do not translate into high counts of recipients because those states have small populations; conversely, Florida and Texas have massive counts but lower per-enrollee averages. Several analyses in the provided material explicitly warn that the two metrics answer different questions and cannot be substituted for one another when identifying “which states have the highest number of residents receiving subsidies” [2] [4] [3].
3. Year-to-Year Variability and Policy Changes That Shift Totals
Enrollment totals and subsidy eligibility shifted during and after pandemic-era expansions, such as the American Rescue Plan and temporary enhancements through 2025. One Urban Institute projection anticipated that ending enhanced premium tax credits could leave millions uninsured and would disproportionately affect states with large subsidy rolls, notably Texas, Georgia, and West Virginia among others [5]. Comparisons across 2017, 2024, and 2025 snapshots reveal movement in absolute counts and state rankings, but the persistent headline is that larger states see the largest absolute changes when federal subsidy policy shifts, magnifying the impact of expiration or extension on national uninsured totals [6] [5].
4. Reconciling Discrepancies Across Sources: Snapshots, Methodology, and Timing
The discrepancies in totals between datasets stem from differences in data vintage, which enrollment snapshot is used (end-of-open-enrollment vs. effectuated enrollment as of a date), and whether figures include auto‑reenrollments or cancelled plans. CMS effectuated enrollment reports used in some analyses yield one set of totals as of March 15, 2025, while KFF’s state fact sheets or marketplace tables may reflect open-enrollment tallies or different definitions, producing somewhat different counts [1] [3]. When comparing sources, pay attention to the reporting date and whether the figure represents “selected” plans, “effectuated” enrollment, or total people receiving advanced premium tax credits, because those methodological choices alter state rankings and absolute counts [1] [3].
5. Missing Context and Important Caveats Policymakers Should Notice
Several important caveats emerge from the provided analyses: states with Basic Health Programs or alternative coverage (e.g., Minnesota, New York, Oregon) can distort comparisons because some low-income residents are covered outside the marketplace and thus may not appear in subsidy totals; Medicaid expansion status also shifts marketplace eligibility and counts [3] [7]. Additionally, many analyses warn that projected losses of coverage if enhanced credits expire would be concentrated in states already showing high absolute subsidy rolls, amplifying the regional uninsured impact beyond per‑enrollee subsidy values [5]. Policymakers should therefore consider both the headcount of subsidized enrollees and the distribution of subsidy generosity when assessing budgetary and access consequences [2] [5].
6. Bottom Line: What the Data Actually Support and Where Uncertainty Remains
The combined evidence in the provided materials supports a clear bottom line: Florida and Texas are the states with the highest number of residents receiving ACA premium tax credits, followed by California, with 2025 snapshot estimates ranging in the millions for the top two states and lower but still large totals for California [1] [3]. Differences in reported totals reflect legitimate methodological and timing differences across CMS and KFF reports, and separate measures of average subsidy per enrollee tell a different story about subsidy generosity concentrated in less-populous states [2] [1]. Remaining uncertainty centers on future policy changes—particularly the post‑2025 status of enhanced credits—and on how state-specific programs and reporting definitions alter the observed totals [5] [7].