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How many Americans are uninsured in 2023?
Executive summary
Two major federal data sources put the U.S. uninsured population in 2023 at roughly 25–26 million people, or about 7.7–8.0 percent of the population. The National Health Interview Survey (NHIS) reported a record-low uninsured rate of 7.7% (about 25.6 million) in early 2023 (Q1–Q3 quarterly estimates) while Census Bureau and American Community Survey analyses put the 2023 annual rate near 7.9–8.0% (about 26 million uninsured) [1] [2] [3] [4].
1. How many Americans were uninsured in 2023 — the headline numbers
Federal survey estimates cluster around 25–26 million uninsured people in 2023: the NHIS quarterly analysis reported 7.7% (25.6 million) in Q3/early 2023 (NHIS/Q3 and Q1 reporting) [1] [2], while Census Bureau/ACS and related summaries list roughly 7.9–8.0% (about 26 million) for the calendar year [3] [4]. KFF and other analysts also report similar ranges for nonelderly populations (about 25.3 million ages 0–64 uninsured in some briefs) [5] [6].
2. Why estimates differ: survey, timing, and methodology matters
Different federal products use different surveys, reference periods, and sample frames. NHIS provides quarterly estimates and flagged 7.7% as an early‑2023 low (Q1 and Q3 points), while the Census Bureau’s annual ACS and CPS ASEC produce calendar‑year rates (7.9–8.0%) that smooth across the whole year; those methodological differences explain why headline rates vary by a few tenths of a percentage point or one million people [2] [3] [7].
3. Which number should you quote? Context decides
If you mean early‑2023 quarters, cite NHIS’s 7.7% / ~25.6 million [2]. If you mean the full 2023 year, cite Census/ACS/CPS estimates near 7.9–8.0% (~26 million) — those are the conventional annual figures used in most policy reporting [3] [4] [7]. Analysts like KFF and Commonwealth Fund commonly present the ACS/CPS‑based annual estimates when discussing year‑over‑year trends [5] [4].
4. What drove the record‑low rates in 2023 — competing explanations
One line of reporting credits pandemic‑era policies (Medicaid continuous enrollment and enhanced Marketplace subsidies) and Medicaid expansion for large gains in coverage through 2022–2023 [8] [9]. Another perspective warns those protections began to unwind in 2023 — the end of continuous Medicaid enrollment in early 2023 led to later disenrollments and could raise uninsured counts in subsequent months — a dynamic noted by the AMA and other analysts [10] [11].
5. Where disparities and subgroups matter
Coverage was uneven: NHIS and Census reporting show higher uninsured shares among working‑age adults, Hispanic and some racial/ethnic groups, and noncitizens; children paradoxically saw a small increase in uninsurance in some datasets in 2023 [2] [5] [6] [12]. State variation also matters: non‑Medicaid‑expansion states and Southern/Western states account for a disproportionate share of the uninsured [13] [14].
6. Short‑term outlook and caveats
Projections and later 2024 data suggested the uninsured share began to creep up after 2023 as Medicaid redeterminations proceeded; the Congressional Budget Office and others anticipated reversals of 2023 lows as pandemic-era protections ended [15] [10]. Analysts caution that single‑year differences of 0.1–0.4 percentage points are often not statistically significant — and are sensitive to survey timing and sampling [3] [7].
7. How journalists and policymakers should frame the number
Report the numeric range (about 25–26 million; ~7.7–8.0%) and name the data source and period you’re using (NHIS Q1/Q3 vs. ACS/CPS annual). Note that NHIS highlighted an early‑2023 record low of 7.7% (25.6 million) while Census/ACS annual figures are about 7.9–8.0% (~26 million) — both are supported by federal data [1] [2] [3] [4]. Also flag that the unwinding of Medicaid enrollment in 2023 is a known factor that could shift counts after the calendar year [10] [11].
Limitations: available sources do not mention a single definitive “official” 2023 number; instead, federal surveys provide slightly different but consistent ranges depending on timing and method [2] [3].