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Development Assistance for Health (DAH) on COVID-19 produced estimates for 2020-2023, which are based on project databases, financial statements, annual reports, IRS 990s, and correspondence with agencies. The DAH Database enables comprehensive analysis of trends in international disbursements of grants and loans for COVID-19-related health projects in low- and middle-income countries from key agencies. The data are disaggregated by source of funds, channel of funding, country and geographic region, and program areas.

Fall-related mortality rate estimates at the county level in the United States, and by racial/ethnic group, for each year between 2000-2019. These estimates were produced using population and deaths data from the National Center for Health Statistics.

This dataset includes the following:

• CSV files of county-, state-, and national-level estimates of fall-related mortality rates for each age group, sex, year, and racial-ethnic group (non-Hispanic White [White], non Hispanic Black [Black], non-Hispanic Asian or Pacific Islander [Asian], non-Hispanic American Indian Alaska Native [AIAN], and Hispanic or Latino [Latino]). Blank cells are for masked estimates
• Code used to generate the estimates

The Global Burden of Disease Study 2021 (GBD 2021), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Estimates of 15 dietary risks and the burden attributable to these were produced for 1990-2021. Files available in this record include estimates of the daily intake of the 15 GBD food groups (either in grams or percent energy) by location, year, age, and sex. Estimates of disease burden attributable to dietary risks are available through the GBD Results Tool.

The Global Burden of Disease Study 2021 (GBD 2021), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Covariates, which are independent variables with a positive or negative relationship to GBD diseases and conditions, are used to inform the estimation process in models in all components and stages of the GBD study. Types of covariates used include socioeconomic, demographic, health system access, climate, and food consumption. This dataset contains data for covariates for 1980-2021 used in the GBD 2021 study.

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For additional GBD results and resources, visit the GBD 2021 Data Resources page.

The Global Burden of Disease Study 2021 (GBD 2021), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories.

This dataset provides annual estimates for summary exposure values (SEVs), deaths, years of life lost (YLLs), years lived with disability (YLDs), disability adjusted life years (DALYs), life expectancy, healthy life expectancy and life expectancy decomposition for 2022-2050. Data sources used to produce the estimates came from GBD 2019 and GBD 2021 analyses.

Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective health spending estimates for 1995-2021 for 204 countries and territories. The estimates cover total health spending, health spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and prepaid private), and development assistance for health (DAH). Domestic health spending source data came primarily from the WHO’s Global Health Expenditure Database (GHED). DAH data came from a diverse set of sources, including program reports, budget data, national estimates, and National Health Accounts (NHAs). The resulting estimates were used to forecast GDP and prospective health spending estimates for 2022-2050. Estimates are reported in constant 2022 United States Dollars, constant 2022 purchasing power parity adjusted (PPP) dollars, and as a percent of gross domestic product.

The Global Burden of Disease Study 2021 (GBD 2021), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Annual estimates for prevalence, incidence, years lived with disability (YLDs), and disability-adjusted life years (DALYs) are available from the GBD 2021 Results Tool. Estimates are available by age and sex for 1990-2021.

Select tables and a supplementary results appendix published in "Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021" are available for download from this record.

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This dataset contains retrospective estimates for the cost of informal care attributable to dementia in the United States of America from 2010 to 2019 and prospective cost estimates in 2030, 2040, and 2050 under both low and high growth scenarios. Retrospective estimates are provided for the US national level, each US state, and the District of Columbia. Prospective estimates are provided for the US national level only. Final estimates include both the replacement and forgone wage costs attributable to dementia per dementia case. The replacement cost model estimates how much it would cost to replace all informal caregiving with formal, paid caregivers. The forgone wage cost model estimates how much income is lost for informal caregivers by caring for a person living with dementia instead of working for a wage. All cost estimates are reported in 2019 United States dollars.

The Global Burden of Disease Study 2021 (GBD 2021), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

This dataset provides annual estimates for age-specific fertility rate (ASFR), total fertility fate (TFR) and live births for 1950-2100. Data sources used to produce the estimates came from 8709 country-years of vital and sample registrations, 1455 surveys and censuses, and 150 other sources.

The Global Burden of Disease Study 2021 (GBD 2021), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Annual estimates for fertility, population, migration, and all-cause mortality will be available from the GBD 2021 Results Tool (forthcoming May 2024). Estimates will be available by age and sex for 1950-2021. Select tables published in The Lancet in March 2024 in "Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021" are also available for download via the “Files” tab above.

The Global Burden of Disease Study 2021 (GBD 2021), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

This set of files contain the following for GBD 2021: the cause hierarchy; the risk, impairment, etiology, and injury n-code (REI) hierarchy; and locations hierarchies. The GBD Locations Hierarchy file contains only GBD locations, including subnational locations for which results were released at the time of the study's publication. The All Locations Hierarchies file also includes hierarchies for other regions for which estimates were produced, such as WHO and World Bank regions. These files allow users to filter for sets of values by level or parent category, including cause or risk group, GBD super region or region, or custom region.

Liver cancer mortality rate estimates were produced at the county level in the United States, and by racial and ethnic population, for each year between 2000-2019. These estimates were generated using population and deaths data from the National Center for Health Statistics.

This dataset includes the following:

• CSV files of county-, state-, and national-level estimates of liver cancer mortality rates for each age group, sex, year, and racial and ethnic population (non-Latino and non-Hispanic American Indian or Alaska Native [AIAN], non-Latino and non-Hispanic Asian or Pacific Islander [Asian], non-Latino and non-Hispanic Black [Black], Latino or Hispanic [Latino], and non-Latino and non-Hispanic White [White]). Blank cells are for masked estimates
• Code used to generate the estimates

This dataset contains retrospective estimates for healthcare spending attributable to dementia for 204 countries from 2000 to 2019 and prospective spending estimates from 2020 to 2050 under multiple scenarios. Final estimates are provided including direct and indirect care costs attributable to dementia per dementia case. Direct costs refer to the medical spending on dementia. Indirect costs refer to the economic burden of informal care for people with dementia. All spending is reported in 2019 United States dollars. Future estimates report the same model outputs as those reported in the retrospective model but include both reference and alternative scenarios based on accelerated diagnosis rates, unit costs, care setting rates and decelerated care setting rates.

This version of the Development Assistance for Health (DAH) Database includes estimates for 1990-2022, which are based on project databases, financial statements, annual reports, IRS 990s, and correspondence with agencies. The DAH Database enables comprehensive analysis of trends in international disbursements of grants and loans for health projects in low- and middle-income countries from key agencies. The data are disaggregated by source of funds, channel of funding, country and geographic region, health focus areas, and program areas.

To better understand the data and how to use it, please refer to the IHME DAH Database 2023 User Guide.

This dataset includes total cardiovascular disease burden estimates globally for multiple cardiovascular diseases for 7 Global Burden of Disease Study (GBD) super regions, 21 GBD regions, 204 countries and territories, and select subnational locations. The following are reported: mortality by age and sex for the years 1990-2022; age-standardized mortality in 2022 by Socio-Demographic Index (SDI), a composite indicator of fertility, income, and education; all ages and age-standardized prevalence for 2022; and age-standardized disability-adjusted life years (DALYs) for 2022. The dataset also includes burden attributable to selected risk factors for each GBD region in 2022, as measured by DALYs. These data are custom calculated for publication in the Journal of the American College of Cardiology and will not be available in the GBD 2022 Results Tool.

The Global Burden of Disease Study 2021 (GBD 2021), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Annual estimates for cause-specific mortality will be available from the GBD Results Tool. Estimates are available by age and sex for 1990-2021. Select tables and a supplementary results appendix published in The Lancet in April 2024 in "Global burden and hotspots of 288 causes of death and life-expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021" are also available for download via the link below.

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The Global Burden of Disease Study 2021 (GBD 2021), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

This dataset includes estimates of the burden associated with all-form tuberculosis for Global Burden of Disease Study (GBD) countries between 1990 and 2021. Tuberculosis mortality was informed by vital registration, verbal autopsy, sample-based vital registration, and mortality surveillance data. Tuberculosis morbidity data included annual case notifications, data from prevalence surveys, and estimated cause specific mortality (CSMR) of TB among HIV-positive and HIV-negative individuals

Completed as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, this dataset provides estimates of anemia prevalence and years lived with disability by 37 underlying causes, three severity levels, age, and sex for 204 countries and territories and selected subnational geographies in five year increments from 1990 to 2021. Please refer to the related publication for information on modeling methods and analysis.

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The Salud Mesoamérica Initiative (SMI) is a regional public-private partnership that brings together Mesoamerican governments, private foundations and bilateral and multilateral donors with the purpose of reducing health inequalities affecting the poorest 20 percent of the population in the region. The SMI health facility survey is designed to assess facility conditions, evaluate service provision and utilization, and measure quality of care. Patient medical records are examined to evaluate facilities’ treatment practices retrospectively over the course of the evaluation period. Health facility data collection aims to capture changes produced by interventions at the level of the health services access point, which may foretell changes in population health outcomes.

The Salud Mesoamérica Initiative (SMI) is a regional public-private partnership that brings together Mesoamerican governments, private foundations and bilateral and multilateral donors with the purpose of reducing health inequalities affecting the poorest 20 percent of the population in the region. The SMI health facility survey is designed to assess facility conditions, evaluate service provision and utilization, and measure quality of care. Patient medical records are examined to evaluate facilities’ treatment practices retrospectively over the course of the evaluation period. Health facility data collection aims to capture changes produced by interventions at the level of the health services access point, which may foretell changes in population health outcomes.

The Salud Mesoamérica Initiative (SMI) is a regional public-private partnership that brings together Mesoamerican governments, private foundations and bilateral and multilateral donors with the purpose of reducing health inequalities affecting the poorest 20 percent of the population in the region. The SMI household survey captures household characteristics, reported maternal and child health data for women 15-49 years of age and for children 0-59 months of age, and anthropometric measurements including height, weight, and hemoglobin concentration for children. Community data collection via household surveys permits the measurement of changes in health status, access to health care, and satisfaction with health care, as well as an array of data points which give context to these factors.

The Salud Mesoamérica Initiative (SMI) is a regional public-private partnership that brings together Mesoamerican governments, private foundations and bilateral and multilateral donors with the purpose of reducing health inequalities affecting the poorest 20 percent of the population in the  region. The SMI community survey carried out in Belize covers eligible women’s background characteristics, access to health care, fertility preferences, and knowledge and use of contraceptive methods (including barriers to use). Women who have been pregnant in the last two years answer questions about birth history; antenatal, delivery, and postpartum care; breastfeeding; and infant feeding practices. Caretakers of children aged 0-5 years are asked detailed questions for each child under age 5 on topics such as child’s current health status, recent history of illness, immunization, and supplementation history.

The Salud Mesoamérica Initiative (SMI) is a regional public-private partnership that brings together Mesoamerican governments, private foundations and bilateral and multilateral donors with the purpose of reducing health inequalities affecting the poorest 20 percent of the population in the region. The SMI health facility survey is designed to assess facility conditions, evaluate service provision and utilization, and measure quality of care. Patient medical records are examined to evaluate facilities’ treatment practices retrospectively over the course of the evaluation period. Health facility data collection aims to capture changes produced by interventions at the level of the health services access point, which may foretell changes in population health outcomes.

The Salud Mesoamérica Initiative (SMI) is a regional public-private partnership that brings together Mesoamerican governments, private foundations and bilateral and multilateral donors with the purpose of reducing health inequalities affecting the poorest 20 percent of the population in the region. The SMI health facility survey is designed to assess facility conditions, evaluate service provision and utilization, and measure quality of care. Patient medical records are examined to evaluate facilities’ treatment practices retrospectively over the course of the evaluation period. Health facility data collection aims to capture changes produced by interventions at the level of the health services access point, which may foretell changes in population health outcomes.