A comprehensive global health indicators dataset covering 190+ countries across 12 health categories — from disease burden and mortality to vaccination, maternal health, NCDs, and SDG indicators. Built to help pharmaceutical, public health, and policy teams quantify unmet need, size markets, and design evidence-based strategies.
Our Global Health Indicators platform provides a comprehensive view of population health across 190+ countries. It covers disease burden, mortality, vaccination coverage, maternal and child health, non-communicable diseases, infectious diseases, health workforce, hospital infrastructure, environmental health, risk factors, and SDG health indicators — all queryable by country, region, year, sex, and age group.
When combined with our drug database, it creates a unified intelligence platform: the disease landscape meets the therapeutic landscape. This enables pharmaceutical strategy teams to answer critical questions like "How many patients are affected in each market?", "Where is the unmet need greatest?", and "Which countries should we prioritize for launch?"
Each category contains dozens of specific health indicators with data across countries, regions, years, sexes, and age groups. All data is manually verified by our research team.
DALYs, YLLs, YLDs, and disease-specific burden metrics across countries, regions, and time periods.
Cause-specific mortality, crude death rates, age-standardized mortality, and life expectancy data.
Prevalence of key health risk factors including tobacco use, alcohol consumption, obesity, and physical inactivity.
Immunization coverage rates for DTP, MCV, HepB, Hib, HPV, and other vaccines across age groups.
Density of physicians, nurses, midwives, and community health workers per 10,000 population.
Hospital beds, health facilities, and infrastructure metrics per population across countries.
Maternal mortality ratio, under-5 mortality, neonatal mortality, and antenatal care coverage.
NCD prevalence, cardiovascular disease, diabetes, cancer incidence, and mental health indicators.
Incidence and prevalence of HIV, TB, malaria, hepatitis, and other infectious diseases.
Air pollution, water and sanitation access, and environmental risk factor exposure data.
Sustainable Development Goal 3 indicators tracking universal health coverage and health equity.
Comprehensive country-level health profiles with demographic, epidemiological, and health system metrics.
From market sizing to outbreak surveillance, our health indicators data supports critical strategic decisions across pharmaceutical, public health, and policy organizations.
A pharma strategy team needs to size the addressable market for a new oncology drug across 30+ countries.
Use disease burden and mortality indicators to quantify patient populations, DALYs, and mortality rates by country and region. Cross-reference with NCD prevalence data to build a robust market sizing model with evidence-backed patient counts.
A BD team is evaluating which emerging markets to prioritize for launching a new vaccine or therapeutic.
Analyze vaccination coverage gaps, infectious disease incidence, and maternal-child health indicators by WHO region. Identify countries with the highest unmet need and lowest current coverage to prioritize launch sequences.
A global health organization needs to identify regions with the poorest health outcomes for targeted interventions.
Compare SDG health indicators, life expectancy, and mortality rates across 190+ countries. Identify inequity hotspots where health outcomes lag behind regional averages and prioritize resource allocation.
A medical device company wants to assess hospital infrastructure readiness before entering new markets.
Analyze hospital bed density, health workforce availability, and facility counts per country. Cross-reference with health expenditure data to identify markets with adequate infrastructure for advanced medical technologies.
A public health team is designing a diabetes prevention program and needs to identify high-risk populations.
Use risk factor prevalence data (obesity, physical inactivity, tobacco use) alongside NCD prevalence and mortality indicators. Map risk factor hotspots to target prevention programs and measure intervention impact over time.
A policy research team needs to project future disease burden for healthcare workforce planning.
Leverage multi-year time series data across all health categories to identify trends, project future disease burden, and model workforce requirements. Build evidence-based forecasts for policy recommendations.
An NGO is planning a maternal health initiative and needs to identify countries with the highest maternal mortality.
Analyze maternal mortality ratios, antenatal care coverage, and under-5 mortality rates by country. Identify gaps in care coverage and prioritize countries where interventions will have the greatest impact.
A global health security team needs to monitor infectious disease patterns for early outbreak detection.
Track incidence and prevalence of HIV, TB, malaria, and hepatitis across countries and years. Identify trends, seasonal patterns, and geographic clusters to support surveillance and rapid response planning.
Health indicators data transforms how life sciences teams make decisions — from abstract market estimates to evidence-backed patient population quantification.
Replace assumptions with quantified patient populations. Use DALYs, mortality rates, and disease prevalence to build defensible market sizing models.
Identify which countries and regions have the highest disease burden, lowest coverage rates, and greatest unmet need to prioritize market entry.
Leverage multi-year time series data to identify health trends, project future disease burden, and model market evolution.
Compare health outcomes across countries, sexes, and age groups to identify inequities and design targeted interventions.
Track tobacco use, obesity, alcohol consumption, and other risk factors to identify high-risk populations for prevention strategies.
Provide epidemiological evidence for health technology assessments, regulatory submissions, and policy briefs with quantified disease burden.
The Global Health Indicators dataset is one part of a comprehensive intelligence platform. Combine it with our drug database, analytics modules, and AI agents for end-to-end life sciences intelligence.
Combine health indicators with drug database analytics to build complete market pictures — patient populations, unmet need, existing therapies, and competitive landscape in one platform.
Explore Drug DatabaseOur platform includes 25 specialized analytics dashboards — from competitive intelligence and pipeline tracking to heatmaps, Gantt timelines, and AI-powered forecasting.
View All SolutionsStart with a focused POC to validate specific use cases — market sizing for a therapy area, geographic prioritization, or health inequity analysis — in just 90 days.
Start a POCLeverage AI agents to analyze health indicator trends, generate executive summaries, and produce decision intelligence reports combining epidemiological and pharmaceutical data.
Explore ServicesOur platform covers 12 major health indicator categories: Disease Burden, Mortality, Risk Factors, Vaccination, Health Workforce, Hospital Infrastructure, Maternal & Child Health, Non-Communicable Diseases, Infectious Diseases, Environmental Health, SDG Health Indicators, and Country Health Statistics. Each category contains dozens of specific indicators with data across 190+ countries.
The database includes health indicators for 190+ countries and territories across all six WHO regions (AFRO, AMRO, SEARO, EURO, EMRO, WPRO). Time series data spans multiple decades, enabling longitudinal trend analysis and historical comparisons.
Yes. Our terminal interface supports multi-dimensional filtering by country, WHO region, year, sex (male/female/both), and age group. You can search across all indicators, sort by any field, and drill down into specific data points with full detail views.
Disease burden indicators (DALYs, YLLs, YLDs) and mortality data provide patient population estimates by disease and country. Combined with NCD prevalence and risk factor data, you can build evidence-based market sizing models with quantified patient populations, unmet need, and geographic prioritization.
Yes. Admin users can export any filtered dataset in CSV, Excel (.xlsx), or ZIP format. ZIP exports split data by WHO region for easy handling of large datasets. Exports include all indicator fields, country data, and metadata.
While our drug database focuses on pharmaceutical products (drug names, approvals, pipelines, patents), the Global Health Indicators dataset focuses on population health outcomes. It answers "who is affected, where, and how severely" rather than "what drugs exist." Together, they provide a complete picture: the disease landscape and the therapeutic interventions available for it.
The data supports market sizing, geographic expansion strategy, health inequity analysis, infrastructure assessment, NCD prevention planning, infectious disease surveillance, maternal-child health program design, trend forecasting, and policy research. It bridges the gap between population health intelligence and pharmaceutical strategy.
The data provides epidemiological context and population health evidence that can support HTA submissions, market access dossiers, and regulatory narratives. It helps quantify disease burden and unmet need — key components of value demonstration in health technology assessments.
Our research team manually compiles and verifies health indicator data from multiple authentic sources. Every record undergoes manual quality assurance before being added to the database. This ensures accuracy and completeness rather than relying on automated pulls.
Yes. The platform includes REST API endpoints for programmatic access to all health indicator data. You can query by category, country, region, year, sex, and age group with full pagination and filtering support. API access is available to authenticated users with appropriate permissions.
Access the full terminal with 12 health categories, 190+ countries, and advanced filtering. Combine with our drug database for complete life sciences intelligence.