Reports and tools, open to everyone.

Anthropometric and Nutrition Status, Indonesia

A national view of anthropometric and nutrition status across the life course, from children to older adults. It tracks where undernutrition is falling and overnutrition is rising, and which provinces and groups are being left behind.

Cardiometabolic Risk, Indonesia

An analysis of adult cardiometabolic burden in Indonesia: obesity, hypertension, and diabetes, and how they vary by province, wealth, and sex. It separates measured burden from age-valid cardiovascular risk and the service-cascade layer.

Hypertension in Indonesia: A Situational Report

A descriptive situational report on hypertension, Indonesia's most prevalent silent killer: prevalence trends, the care cascade from testing through control, subtypes, and subnational variation. Part of AMHASS.

Diabetes in Indonesia: A Situational Report

A descriptive situational report on diabetes: prevalence trends, the care cascade from undiagnosed disease through management, and subnational variation. Part of AMHASS.

Smoking and Tobacco Exposure, Indonesia

Active smoking and secondhand-smoke exposure across five national surveys, broken down by age, sex, and province. It pairs the burden with a review of 445 local smoke-free-area (KTR) regulations.

Global Surgery Indicators, Indonesia

Indonesia measured against the Lancet Commission global surgery indicators: workforce, timely access, surgical volume, and outcomes. Strong national averages hide sharp divides, with eastern islands far behind the rest of the country.

District Cross-Analysis, Indonesia

A kabupaten and kota cross-analysis linking welfare, access, health, food, and demography signals in one place. It lets planners compare districts across several dimensions at once.

Ambulatory Care Sensitive Conditions (INA-ACSC)

An evidence-based INA-ACSC list of conditions that strong primary care should prevent, built from BPJS claims and clinical consensus. It introduces a Conditional ACSC category for conditions whose preventability depends on health-system readiness.

Health Workforce Production, Distribution and Quality

Measuring Indonesia's health workforce on two dimensions at once, density and distribution. It shows that density does not predict distribution, so a province can meet a density target while concentrating staff in only a few districts.

PRIMIX: Indonesia's Blended Primary-Care Payment

An evaluation of Indonesia's blended primary-care payment using a difference-in-differences design across roughly 4,000 Puskesmas transitioning to BLUD. It links payment design to facility performance and chronic-disease care.

Indonesia's Midwife and MNCH Workforce (UNFPA)

Mapping Indonesia's midwife and maternal-newborn workforce: density, distribution, and geographic inequality. District density ranges from 0.006 to 8.21 per 1,000 population, with the lowest concentrated in Papua.