The comparison estimates direct care for mental disorders as a share of current health spending. It combines a modeled numerator from IHME with a reported health-spending total from WHO. It is a treatment share, not an observed government budget share.
The countries are the United States (102), United Kingdom (95), China (6), Canada (101), Germany (81), France (80), Japan (67), India (163) and Australia (71). This list keeps the study’s selection order, whereas the chapter’s ledger opens in order of point estimate, and neither order is a ranking of care. Every country has twenty annual observations. The United Kingdom covers the whole country; the separate WHO budget profile below covers England.
The Atlas health_spending query uses mental disorders (cause 558), all ages (22), both sexes (3), all direct spending (care type 7) and spending per GDP (measure 2001). Values and bounds arrive as fractions of GDP and are multiplied by 100 to obtain percentages. WHO’s SH.XPD.CHEX.GD.ZS indicator supplies current health expenditure as a percentage of GDP, matched by country and calendar year.
Formula: treatment share (%) = 100 × mental-care spending (% of GDP) ÷ current health spending (% of GDP). The same formula converts the mental-care model’s lower and upper bounds. No interpolation or averaging is applied. Full source precision is used in calculations; chart labels round to one decimal and annual tables to two.
Direct care includes ambulatory care, emergency departments, home health, inpatient care, nursing facilities and prescribed pharmaceuticals, across public and private payers. The mental-disorder group includes schizophrenia, depressive, anxiety, bipolar, eating, autism-spectrum, attention-deficit/hyperactivity, conduct, intellectual-developmental and other mental disorders. Substance-use and neurological disorders, including dementia, are excluded. WHO’s denominator includes current health goods and services, prevention and administration, but excludes capital investment.
Uncertainty: the bands and ranges are the numerator model’s 95% interval divided by a fixed WHO total. They are conditional numerator-only intervals, not a joint 95% interval for both accounts. They exclude uncertainty in WHO’s total, GDP-basis differences and unresolved accounting coverage. Overlapping ranges discourage precise rankings; overlap is not a formal statistical test of country differences.
GDP ordering: the GDP option sorts all nine countries by total GDP for the selected year, largest first. It uses the frozen World Bank GDP (current US$), NY.GDP.MKTP.CD series, rather than GDP per person or either spending share. The public CSV includes this input as gdp_current_usd. Changing the order leaves the chart’s spending shares and 0–16% scale unchanged.
GDP basis: the ratio assumes that the two GDP shares use compatible national accounts. The check recovers Atlas GDP from its dollar total and per-GDP fraction, then compares it with World Bank GDP restated to 2021 prices using each country’s GDP deflator and the 2021 exchange rate. The ratio ranges from 0.9457 to 1.0288 across 180 observations (mean 0.9938). Most discrepancies are within 3%; India in 2000 differs by about 5.4%. This supports approximate alignment, not exact cancellation. The basis ratio travels with every downloaded row. No adjustment forces countries to a common level.
Accounting limits: the model’s comorbidity attribution and care-type adjustments have not been independently checked against the full study appendix. A complete accounting crosswalk and validation against national disease-spending tables remain outstanding. National inputs differ in completeness. A common model does not make every country equally well measured. A higher share may reflect care prices, treatment patterns, need or changes in other health spending; it cannot establish access, quality, funding adequacy or a policy effect.
Separate U.S. accounts: the country comparison’s U.S. values are not spliced from BEA, and the two accounts disagree for the same year, since in 2019 the BEA account places mental-disorder treatment at 3.94% of health spending while this comparison places it at 8.88%. The difference lies wholly in the spending each source assigns to mental disorders, because the model attributes $316.5 billion to them in 2019 dollars against BEA’s $113.7 billion, a ratio of 2.78. WHO’s current health spending, in contrast, exceeds BEA’s health total by a factor of 1.23, so the choice of total narrows the gap rather than producing it.
The differences that might seem to explain the gap either work against it or leave most of it in place. To begin with, BEA’s mental-disorder chapter includes dementia ($5.7 billion), suicide and intentional self-inflicted injury ($2.0 billion) and screening and history codes ($2.9 billion), which the model’s condition group leaves out, so matching the two groups lowers BEA’s count to $103.2 billion and widens the difference. In addition, although BEA assigns none of its nursing-home spending to a disease, the model places only $39.5 billion in nursing facilities and home health together. Even if all of that lay outside BEA’s disease count, $173.8 billion of the difference would remain in ambulatory, emergency, inpatient and pharmaceutical care, which both accounts divide among diseases. Within those settings the model assigns $16.5 billion of inpatient spending alone to anxiety disorders, against the $21.2 billion that BEA assigns to them in every setting combined, which is consistent with a rule that divides a stay’s cost among co-occurring diagnoses. Because the model’s attribution appendix has not been retrieved, however, that explanation remains a hypothesis rather than a finding.
The two series also move in opposite directions, since between 2000 and 2019 the BEA share rises from 3.38% to 3.94% while the modeled share falls from 9.26% to 8.88%. As a result, the ratio between them narrows from 2.74 to 2.25, and the gap cannot be read as a fixed offset, a trend or a correction to either estimate. A condition-by-condition reconciliation, which would need the model’s appendix and BEA’s allocation rules side by side, has not been completed, and the chapter’s growth decomposition belongs to the BEA study alone.
Coverage and vintage: the comparison’s sources were frozen on September 25, 2026, and the care-setting query behind the U.S. reconciliation on October 4. A check on September 25 found the Atlas still limited to 2000–2019; its 180 returned observations matched the frozen numerator byte for byte. WHO totals reach 2023 for all nine countries and 2024 for four, but later denominators cannot extend a series without matching mental-care estimates. Atlas total-health forecasts lack the disease dimension needed for that numerator. This is a dated source check, not a live feed.
Reproduction: the research register preserves exact query URLs, raw responses, SHA-256 checksums, the GDP-basis check and denominator scenarios. Checks confirm that the preserved source files are unchanged, that all 180 country-year observations are present without duplicates, and that the denominators, uncertainty bounds and three ratio calculations are valid. The comparison, country histories, annual tables and downloadable CSV use the same reviewed data. The ledger places all nine countries on one zero-based 0–16% scale for a single year, opening at 2019 with the highest estimate first, and because its Year and Order controls change every reading together, no choice of year or order removes a country from view. Selecting a country adds its twenty-year history beside that of the United States, together with the two inputs behind its share.