How we built “Coverage isn't cheap: households 65+ pay the most for healthcare of any age group — out of their own pockets” — the metric, the sources, the limitations, and how to reproduce every number.
The metric
Healthcare cost burden = BLS CE Healthcare (HEALTH: premiums the household itself pays plus out-of-pocket services, drugs, and supplies; consumer-unit mean) as a share of total average annual expenditures, per LB04 age bracket (the headline cut: the 65+ inversion) and LB01 income quintile (the supporting cut, presented as a Medicaid-suppressed FLOOR), with share of before-tax income as the caveated companion.
Breakdown dimension: age of reference person (LB04, headline) and quintile of income before taxes (LB01, supporting). Data vintage: BLS Consumer Expenditure Survey LB04 2014–2024 (latest annual 2024); BLS Consumer Expenditure Survey, LABSTAT CXU series, classification LB01 (quintiles of income before taxes), 2024 annual means.
Sources
- BLS Consumer Expenditure Survey (classification LB04, 2014–2024; series IDs: CXUHEALTHLB0401M, CXUTOTALEXPLB0401M, CXUINCBEFTXLB0401M)
- BLS Consumer Expenditure Survey, LABSTAT CXU series, classification LB01 (quintiles of income before taxes), 2024 annual means
Canopy Press analysis of BLS Consumer Expenditure Survey data (2024; age of reference person and income quintiles; all-consumer-unit means; household-paid outlays only).
How it’s computed
All figures are deterministic arithmetic on the official series above — no estimates, no modeling. Raw API responses are snapshotted at the stated vintage; every published figure must reproduce from those snapshots before publication (an automated audit gate recomputes the table, the chart values, and the CSV byte-for-byte, and blocks publication on any mismatch).
Limitations
- CE Healthcare measures what the household ITSELF pays — health-insurance premiums the consumer unit pays plus out-of-pocket services, drugs, and supplies. Care paid on the household's behalf by Medicaid, Medicare's program side, or employers is NOT household expenditure. Because Medicaid enrollment is income-correlated, the lowest quintile's measured $3,445 is suppressed disproportionately: the TRUE low-income healthcare burden is higher than measured, so the cross-quintile gradient is a FLOOR (lower bound), never the full burden.
- The 65+ figures are real household-paid outlays (premiums the household pays, cost-sharing, drugs, and care Medicare does not cover). Medicare coverage does not zero a household's healthcare bill — that is the finding, not an artifact — though a small dual-eligible (Medicaid) minority means the 65+ cell is also mildly suppressed.
- All figures are all-consumer-unit MEANS (insured and uninsured, all household sizes), not medians; right-skew means the mean overstates the typical CU.
- Income shares use before-tax income (conservative). CE publishes no 2024 after-tax income vintage at these cuts, so the after-tax sensitivity is stated directionally (after-tax denominators would raise every share), not computed. The lowest quintile's share-of-income (spending exceeds reported income there) and the 65+ share (income partly asset-drawdown-funded) are directional, never literal.
- The under-25 age cell ($1,485) is thin (carcost precedent): shown, never the headline.
- An all-household mean blends how many CUs carry an expense with how much they pay; no per-person price or per-patient cost claim is made.
Reproduce it
Pull the series listed above from the official APIs at the stated vintage and recompute. Verification values (recomputed before publish):
| Check | Value |
|---|---|
| share_spend_65plus_2024 | 12.7 |
| share_spend_25_34_2024 | 5.1 |
| share_spend_55_64_2024 | 7.9 |
| share_inc_65plus_2024 | 11.6 |
| share_inc_55_64_2024 | 5.5 |
| share_inc_35_44_2024 | 4.6 |
| health_65plus_2024 | 7799.0 |
| health_65plus_2014 | 5849.0 |
| health_65plus_growth_pct | 33.0 |
| decade_min_65plus_share | 12.7 |
| published_anchor_health_all_2024 | 6197.0 |
| published_anchor_totalexp_all_2024 | 78535.0 |
Accountability
Canopy Press research is produced by a methodology-driven, human-overseen pipeline. John Fox, Founder & Head of Research, is responsible for the data methodology and editorial standards behind this asset. Corrections: [email protected]. See our Editorial Standards and the research changelog.