Methodology
Transparency

Methodology & reconciliation

Headline figures are traced to 12 primary sources, supported by a larger ingested reference library (61 sources in total). Because those sources measure the same concepts with different definitions, years, and survey instruments, this page documents exactly how the figures are selected, reconciled, and dated — so any number on the site can be traced to its origin.

Two families of sources

Every figure belongs to one of two families. We never silently average across them.

International estimates

World Bank, WHO GHO, IDF Diabetes Atlas. Modelled or age-standardised for cross-country comparability. Used for the homepage headline KPIs and the Global Benchmarks page.

Official Vision 2030 series

MOH / Vision Realization Office baseline→target series, internally consistent from its 2016 baseline. Used by the “Race to 2030” tracker to measure progress against the official targets.

Reconciliation rules

  1. One source per figure. Each displayed number comes from a single named publication — values are never blended.
  2. Headline = international. Where a metric exists in both families, the internationally comparable estimate is shown as the headline; the Vision series is footnoted, never discarded.
  3. Progress = official. Vision 2030 progress bars track the official baseline series, so the baseline, current, and target all share one definition.
  4. Disclose, don’t reconcile away. When two legitimate figures exist, both are shown with their definitions; the gap is labelled methodological, not corrected.
  5. Date at the metric. Each figure carries its own reference year, independent of the aggregation date (2026-08-29).

Metrics that carry two figures

These are the discrepancies a reviewer is most likely to flag. In each case both numbers are correct on their own definition — the difference is source, year, or method.

Health expenditure (current, public + private)

The MOF "Health & Social Development" envelope (SAR 268B) is a COMBINED government budget line that also funds non-health social programmes. It was previously shown as the "total health expenditure" headline; it is a different universe and is now reported separately, not as current health expenditure (review §C2).

Hospitals & bed capacity

Alternate (footnoted)

499 hospitals2023

MOH Statistical Yearbook 2023

The MOH Yearbook 2023 counts 499 hospitals; the GASTAT 2024 publication counts 516. The regional time series on the Infrastructure page still ends at the 2023 yearbook (the 2024 regional breakdown is not yet fully published), so the headline (516, 2024) and the mapped series (499, 2023) carry different vintages by design.

Physicians per 1,000 population

Headline (shown)

3.41 per 1,0002023

World Bank — SH.MED.PHYS.ZS

Alternate (footnoted)

2.74 per 1,0002024

Vision 2030 health KPI series (MOH / VRO)

The "Race to 2030" tracker reports 2.74/1,000 — the official Vision baseline series (2.28 in 2016 → 3.0 target). It tracks a narrower practising-physician count against the official population denominator, so it sits below the World Bank registered-physician estimate. Both are correct on their own definitions.

Life expectancy at birth

Headline (shown)

78.98 years2024

World Bank — SP.DYN.LE00.IN

Alternate (footnoted)

79.7 years2025

Health Sector Transformation Report 2025

The "Race to 2030" tracker reports 79.7 years (2025) — the official Vision series, which the HSTP 2025 report REBASED upward (earlier Vision reporting carried 76.8 for 2024 on the old vital-statistics basis). It now sits close to the World Bank estimate; the jump from 76.8 to 79.7 is a source methodology change, not a measured ~3-year gain in one year. We track progress against the official series and show the World Bank figure for international comparison.

Health-sector Saudization

The "Race to 2030" tracker reports 35% against a 40% target — the Vision-defined saudization metric (baseline 19% in 2016), which scopes a narrower set of roles than the all-roles MOH measure (54%). The 40% target is set against the Vision definition, so the tracker and this card are measuring different universes.

Diabetes prevalence

The "Race to 2030" tracker reports 17.4% — the official Vision baseline series (18.4% in 2016 → 15% by 2030), drawn from the national household health survey on a different age structure and case definition than the age-standardised IDF Atlas figure. The gap is methodological, not a data error.

Adult obesity prevalence

Alternate (footnoted)

23.1 %2024

GASTAT Health Survey (self-reported)

The GASTAT self-reported survey reports ~23.1% — self-reported height/weight systematically understates measured obesity, so it sits well below the WHO measured-BMI figure. Different instrument, not a data error.

Denominator definitions

Total population

All persons resident in the Kingdom (mid-year).

Health expenditure (current, public + private)

SAR billions (headline); nominal GDP (% figure); resident population (per-capita).

Hospitals & bed capacity

Canonical mid-year resident population (for beds per 1,000).

Physicians per 1,000 population

All registered physicians ÷ resident population × 1,000.

Life expectancy at birth

Both genders, at birth.

Health-sector Saudization

All health-sector employees.

Diabetes prevalence

Adults aged 20–79.

Adult obesity prevalence

Adults (measured BMI).

Cardiovascular mortality rate

Resident population (per 100,000).

Nurses & midwives per 1,000 population

World Bank international definition (not headcount ÷ population).

Private health insurance beneficiaries

Canonical resident population (for insured share).

Local pharmaceutical manufacturing share

Total pharmaceutical market value.

Source & vintage by metric

MetricSourceYearVerified
Total populationGASTAT — Population Estimates 2024 (mid-year) 20242026-05-29
Health expenditure (current, public + private)National Health Accounts basis (WHO GHED / World Bank), 2024 estimate 20242026-05-29
Hospitals & bed capacityGASTAT — Healthcare Establishments & Workforce Statistics 2024 20242026-07-04
Physicians per 1,000 populationWorld Bank — SH.MED.PHYS.ZS 20232026-05-29
Life expectancy at birthWorld Bank — SP.DYN.LE00.IN 20242026-05-29
Health-sector SaudizationMOH Statistical Yearbook (all-roles health-sector Saudization) 20232026-05-29
Diabetes prevalenceIDF Diabetes Atlas (age-standardised, adults 20–79) 20242026-05-29
Adult obesity prevalenceWHO GHO — NCD_BMI_30A (measured BMI≥30) 20242026-05-29
Cardiovascular mortality rateWHO GHO — cardiovascular mortality 20242026-05-29
Nurses & midwives per 1,000 populationWorld Bank — SH.MED.NUMW.P3 20232026-05-29
Private health insurance beneficiariesCHI / Saudi insurance sector reporting 2025 20252026-08-29
Local pharmaceutical manufacturing sharePlatform supply-chain estimate (pending SFDA source-binding) 20242026-05-29
Browse all 61 indexed sources

Download the data

Every underlying series is exportable as CSV or JSON so you can audit and reuse the numbers directly.

Data dictionary
Demographics
Health outcomes
Infrastructure
Workforce
Finance
Supply chain
Vision 2030 KPIs
Source index

How KPI statuses are assigned

Statuses on the Race-to-2030 tracker are computed, not hand-assigned: Achieved: ≥100% of the baseline→target journey. On track: progress ≥80% of the time-expected share of the journey. At risk: below 80%. Divergences from the rule are conservative downgrades only, disclosed on the KPI. The build fails if a stored status violates this rule (scripts/validate-data.ts).

IndicatorJourney doneTime elapsedStatus
Private sector share of healthcare spending102%57%on track(held below computed “achieved” — see KPI note)
Hospital beds per 1,000 population47%57%on track
Saudization rate in health sector76%57%on track
Life expectancy at birth95%64%on track
Diabetes prevalence29%57%at risk
Primary health centers55%57%on track
Local pharmaceutical manufacturing share28%57%at risk
Physicians per 1,000 population64%57%on track

Known limitations

Stating the gaps is more credible than hiding them. The current ones:

  • 2022 census rebasing. The pre-2022 population estimates were an overcount; the May-2022 census revised the total to 32.18M. The population series is therefore not smooth across 2021→2022 — pre-census points are flagged, and every per-capita ratio uses one canonical denominator series.
  • Two budget universes. Current health expenditure (NHA, public+private) and the MOF “Health & Social Development” budget envelope (SAR 268B, which also funds non-health social programmes) are different measures. The headline uses the former; the latter is reported separately and never relabelled “total health expenditure”.
  • All-sector vs MOH-sector breaks. Workforce counts are standardised to all-sector to avoid spliced series; per-1,000 ratios use the World Bank/WHO international definition, which differs from headcount÷population (both disclosed).
  • Supply-chain figures are estimates. The pharmaceutical import/export and category figures are illustrative market-structure estimates flagged “estimate”, pending binding to the SFDA drug registry and GASTAT trade statistics.
  • The 2030 population assumption. Projections to 2030 use a conservative ~1.4%/yr medium-variant assumption from the 2024 base, not a linear extrapolation of the 2022–24 migration surge.
  • The Vision series rebase. The official life-expectancy series was rebased upward in the HSTP 2025 report (76.8 → 79.7); the tracker follows the official series and discloses the rebase so it is never read as a one-year gain.

On estimates & projections

Figures labelled estimate, modelled, or projected (including 2030 forecasts and workforce-gap models) are derived calculations, not reported observations. Forecasts extrapolate the historical series using the method stated on each chart and should be read as scenarios, not official targets. This is an independent aggregation platform, not an official government publication, and carries no patient-level or personal data.

Disclaimer

This platform is an independent, non-commercial data visualization project. It is not affiliated with, endorsed by, or produced by the Ministry of Health of Saudi Arabia, the General Authority for Statistics (GASTAT), the World Bank, the World Health Organization (WHO), or any other government body or institution.

All data presented is sourced exclusively from publicly available official publications, including MOH Statistical Yearbooks, GASTAT health statistics reports, World Bank Open Data, and WHO Global Health Observatory. Statistical figures are reproduced as-is for informational and educational purposes. No personal, patient, or individually identifiable data is collected, stored, or displayed.

While every effort has been made to ensure accuracy, the data may not reflect the most recent figures. Users should refer to the original source publications for authoritative and up-to-date statistics. This platform does not constitute medical, financial, or policy advice.

Data sources: MOH · GASTAT · World Bank · WHO · Last aggregated: May 2026

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