IHME Data
Download datasets created by IHME for our research projects and publications. You can learn more about our research and publications on our website
Data made available for download on IHME Websites can be used, shared, modified or built upon by non-commercial users in accordance with the IHME FREE-OF-CHARGE NON-COMMERCIAL USER AGREEMENT. For more information (and inquiries about commercial use), visit IHME Terms and Conditions.
The Global Burden of Disease Study 2023 (GBD 2023), 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 file contains the following for GBD 2021: the cause hierarchy, the risk, impairment, etiology, and injury n-code (REI) hierarchy, and the location hierarchy. 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.
The Global Burden of Disease Study 2023 (GBD 2023), 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 estimates of exposure to selected risk factors by location, year, age, and sex. These estimates are generated as a part of GBD 2023 modeling. Please consult the GBD 2023 Risk Factor Capstone methods appendix for details on the risk factor estimation methods.
The Global Burden of Disease Study 2023 (GBD 2023), 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 660 subnational locations.
Annual estimates for cause-specific mortality will be available from the GBD Results Tool. Estimates are available by age and sex for 1990-2023. Select tables and a supplementary results appendix published in The Lancet in October 2025 in "Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023" are also available for download from the "Files" tab in this record.
The Global Burden of Disease Study 2023 (GBD 2023), 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 input data used for mortality estimation from 1950-2023, stillbirths estimation from 1990-2023, and the theoretical minimum life risk table (TMLRT) that accompanies GBD 2023 life expectancy estimates. For additional GBD results and resources, visit the GBD 2023 Data Resources page.
The Global Burden of Disease Study 2023 (GBD 2023), 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 years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs) for 375 diseases and injuries, as well as risk-attributable burden associated with 88 modifiable risk factors, are available by from the GBD Results Tool. Select tables and a supplementary results appendix published in The Lancet in October 2025 in “Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023” are also available for download from the “Files” tab in this record.
The Global Burden of Disease Study 2023 (GBD 2023), 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 660 subnational locations.
Disability weights, which represent the magnitude of health loss associated with specific health outcomes, are used to calculate years lived with disability (YLD) for these outcomes in a given population. The weights are measured on a scale from 0 to 1, where 0 equals a state of full health and 1 equals death. This table provides disability weights for the 590 health states (including combined health states) used to estimate nonfatal health outcomes for the GBD 2023 study.
For additional GBD results and resources, visit the GBD 2023 Data Resources page.
The Global Burden of Disease Study 2023 (GBD 2023), 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 660 subnational locations.
Developed by GBD researchers and used to help produce these estimates, the Socio-demographic Index (SDI) is a composite indicator of development status strongly correlated with health outcomes. It is the geometric mean of 0 to 1 indices of total fertility rate under the age of 25 (TFU25), mean education for those ages 15 and older (EDU15+), and lag distributed income (LDI) per capita. As a composite, a location with an SDI of 0 would have a theoretical minimum level of development relevant to health, while a location with an SDI of 1 would have a theoretical maximum level.
This dataset provides tables with SDI values for all estimated GBD 2023 locations for 1950–2023, as well as 2023 location quintile and reference SDI quintile values.
The Global Burden of Disease Study 2023 (GBD 2023), 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.
These tables contain International Classification of Diseases (ICD) codes, for both ICD-9 and ICD-10, mapped to GBD 2023 causes of death and nonfatal causes.
For additional GBD results and resources, visit the GBD 2023 Data Resources page.
This dataset includes total cardiovascular disease (CVD) burden estimates globally for multiple cardiovascular diseases for 204 countries and select subnational locations from the Global Burden of Disease Study (GBD) 2023. We report deaths, DALYs, and prevalence for all CVD causes and risk factors by age, sex, year, and geographic location. These results were prepared for publication in the Journal of the American College of Cardiology and will be available in the GBD 2023 Results Tool.
As part of an analysis of the global burden of cancer worldwide, researchers from IHME compiled publicly available GBD 2021 forecasted values and intercept-shifted them to the current GBD 2023 results for years 2024 to 2050. Detailed methods can be found in the associated manuscript and appendix.
Malnutrition (protein-energy malnutrition) 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 data set includes the following:
- CSV files of county-, state-, and national-level estimates of malnutrition 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 includes unadjusted and adjusted performance scores at the county level in the United States for each year from 2014 to 2019. The unadjusted performance score was calculated from the three aims of the Triple Aim framework: healthcare spending per person, health outcomes (life expectancy) and patient experience. The adjusted performance score accounts for differences in underlying population characteristics across counties (education, wealth, rurality, obesity, smoking, age).
The three aims were quantified using data from the Disease Expenditure (DEX) project, US Health Disparities (USHD), census American Community Survey, the Area Health Resources File, the Mapping Medicare Disparities project, and the Hospital Consumer Assessment of Healthcare Providers and Systems.
This dataset contains the results of separate stochastic frontier analyses for maternal disorders, breast cancer, cervical cancer, ovarian cancer, and uterine cancer produced using GBD 2023 estimates of Disability-Adjusted Life Years (DALYs) for these conditions, along with the corresponding Socio-Demographic Index (SDI) values for 204 countries and territories from 1990-2023. The frontier for each cause represents the minimum DALY rate achievable at a given SDI level. Year-specific inefficiency for each country was calculated as the difference between its observed DALY rate and the corresponding frontier, and it was contrasted against each country’s performance for female all-cause burden.
This dataset contains retrospective estimates for health spending inefficiency for 201 countries from 1995 to 2022. Inefficiency is measured using a frontier approach. First, a frontier is estimated which represents the maximum health-adjusted life expectancy (HALE) that is achievable as a function of total health expenditure. The inefficiency score is the difference between a country’s HALE and the maximum HALE that could be achieved at their level of total health expenditure.
This version of the Development Assistance for Health (DAH) Database includes estimates for 1990-2025, 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. The data from 2024 onwards and in particular the data for 2025 is preliminary.
To better understand the data and how to use it, please refer to the IHME DAH Database 2025 User Guide.
IHME research produced estimates for Gross Domestic Product (GDP) from 1960-2050. Estimates are reported as GDP per person in constant 2010 purchasing-power parity-adjusted (PPP) dollars.
Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective health spending estimates for 1995-2022 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 2023-2050. Estimates are reported in constant 2023 United States Dollars, constant 2023 purchasing power parity adjusted (PPP) dollars, and as a percent of gross domestic product.
Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2023-2050 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). Retrospective health spending estimates for 1995-2022 and key covariates (including GDP per capita, total government spending, total fertility rate, and fraction of the population older than 65 years) were used to forecast GDP and health spending through 2050. Estimates are reported in constant 2023 US dollars, constant 2023 purchasing-power parity-adjusted (PPP) dollars, and as a percent of gross domestic product.
This dataset includes estimates for diagnosis, treatment, and glycaemic management among people with diabetes globally, regionally, and across 204 countries and territories estimated by the Global Burden of Disease Study 2023 (GBD 2023) for the years 2000 through 2023. Estimates were produced by location, year, sex, and age for ages 15 years and above.
Researchers systematically reviewed, identified, and extracted data from cohort, case-cohort studies, that estimated the association between processed meat consumption and three chronic disease outcomes (type 2 diabetes, ischemic heart disease, colorectal cancer); between SSB consumption and type 2 diabetes and ischemic heart disease; and between TFAs consumption and ischemic heart disease. Relative risk curves for the association of each risk-outcome pair using the Burden of Proof meta-analytic framework. This dataset includes input source metadata for this study. Risk-outcome scores are available as supplements to the publication.
Lung 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 lung 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 includes estimates and forecasts created using a new methodology for conceptualizing locations at risk for high RHD morbidity and mortality, or burden, globally. Researchers utilized a set of covariates produced by the Global Burden of Disease Study from 1990-2021 via principal component analysis to create the rheumatic heart disease endemicity index (RHDEI). They then We then demonstrated how the RHDEI could be used in forecasting for targeted policy change with the use of an ensemble time series forecasting model, creating 20 years of estimates through 2041. The results were evaluated via out-of-sample forecasting to estimate model performance and compared to a naive model to assess goodness-of-fit.
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 data set includes estimates for the ASEAN region, comprised of Brunei Darussalam, Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand, and Viet Nam.
This dataset contains tobacco smoking exposure prevalence and burden of disease estimates for 1990-2021. Smoking exposure was defined as the age-standardized prevalence of any current use of smoked tobacco among adults age 15 and older, as well as adolescents aged 10-14. Smoked tobacco included cigarettes, cigars, pipes, hookahs, and local products, such as bidis and kreteks. Estimates include both the proportion of the population and number of individuals exposed, amount of tobacco consumed, and deaths and years of life lost to disability by cause.
Sexual violence against children (SVAC) is a pervasive health and human rights issue that curtails the safety and wellbeing of children globally and accounts for a substantial portion of morbidity. To counter SVAC’s compounding impacts on health and development, there have been increasing investments in global movements towards prevention and ending SVAC and other forms of violence against children. However, the future success of such prevention efforts relies on accurately monitoring and characterizing experiences of SVAC. This dataset provides estimates on the prevalence of contact SVAC before the age of 18 for 204 countries by age and sex, from 1990 to 2023. It also contains information on the age at which survivors of lifetime sexual violence first experienced sexual violence.
Estimates of vaccination coverage for 11 childhood vaccines (first-dose bacillus Calmette-Guérin [BCG], first- and third-dose diphtheria-tetanus-pertussis [DTP1, DTP3], third-dose hepatitis B [HepB3], third-dose Haemophilus influenzae type b [Hib3], first- and second-dose measles [MCV1, MCV2], third-dose pneumococcal conjugate vaccine [PCV3], third-dose polio [Pol3], first-dose rubella-containing vaccine [RCV1], and complete rotavirus [RotaC, two or three doses]) were produced for 204 countries and territories between 1980 and 2023 as part of the Global Burden of Disease Study 2023 (GBD 2023). The estimation process primarily used household survey microdata, household survey report data in the absence of microdata, and estimates of country-reported coverage data. Forecasted coverage was estimated from 2024 to 2030 for DTP3, MCV2 and PCV3 under reference, better, and worse scenarios.
As part of the Brain Health Initiative (BHI) at IHME, this project produced estimates for global spending on health care services for 24 brain health disorders in 204 countries and territories by condition, location, year, age, sex, and type of care for 2000-2019. Types of care include ambulatory, emergency department, home health, inpatient, nursing facility, and pharmaceutical. This study utilizes estimates of relative prices and utilization of health care service from the Disease Expenditure Project (DEX), prevalence and incidence measures from the 2023 Global Burden of Disease Study (GBD), and spending scalars developed from the Financing Global Health study (FGH).
These estimates can be explored using the Brain health atlas website. https://brainhealthatlas.org/
This dataset contains estimates of subnational measles incidence and susceptibility in Ethiopia from 2013 to 2019.
Estimates were produced for HALE (healthy life expectancy) at the merged county level in the United States, by racial and ethnic population, for each year from 2009 to 2019. These estimates were produced using population data from the National Center for Health Statistics; covariate data derived from the American Community Survey, Behavioral Risk Factor Surveillance System, Gallup Daily survey, and estimates of Years Lived with Disability (YLDs) from the Global Burden of Diseases 2021 study.
This data set includes the following:
- CSV files of marge county-, state-, and national-level estimates of HALE for each age group, sex, year, and racial and ethnic population: Latino, American Indian or Alaska Native (AIAN), Asian or Pacific Islander (Asian), Black, White. Blank cells are for masked estimates.
- Code used to generate the estimates.
Researchers systematically reviewed literature on the health burden of physical violence, psychological violence, and neglect during childhood. Utilizing the Burden of Proof (BoP) methodology, a meta-analytical approach that generates conservative measures of association while accounting for heterogeneity between input studies, the authors summarized the relationship between these forms of violence against children and 35 adverse health outcomes. This dataset comprises: a list detailing all studies incorporated into our analysis; processed input data from each included study; and results for each exposure-outcome BoP analysis, including pooled relative risks and BoP-specific metrics (i.e., burden of proof risk function, risk-outcome score, and star rating).
Researchers systematically reviewed literature on the health burden of physical, sexual, and psychological gender-based violence impacting both men and women. Employing the Burden of Proof (BoP) methodology, a meta-analytical approach designed to produce conservative estimates of associations while heterogeneity between input studies analyzed, the researchers delineated the relationship between these forms of violence against men and women and eighth adverse health outcomes. Data were extracted and synthesized from 40 unique studies. This dataset includes: a comprehensive list of all the studies incorporated into our analysis; the processed input data from each study included; and the outcomes for each exposure-outcome analysis according to the Burden of Proof (BoP) methodology, including pooled relative risks and BoP-specific metrics (i.e., burden of proof risk function, risk-outcome score, and star rating).
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 contains unsafe water exposure estimates by for 1990-2021. Exposure to unsafe water is defined based on the primary water source used and the use of water treatment to improve water quality. Primary water sources include basic piped (fecal contaminated piped water), improved (including boreholes, tube wells, protected wells, and packaged or delivered water), and unimproved (including unprotected springs, unprotected wells, and surface water). Water treatment methods include boil/filter, solar/chlorine, and no treatment. Estimates include both the proportion of the population and number of individuals exposed.
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 contains unsafe sanitation exposure estimates by year, location, age, sex, and primary toilet type for the years 1990-2021. Exposure to unsafe sanitation is defined based on the primary toilet type used. Toilet types include unimproved facilities (pit latrines without a slab, hanging or bucket latrines, and open defecation), and improved facilities (pit latrines with slabs, and composting toilets). Estimates include both the proportion of the population exposed and the number of individuals within the given population that are exposed. Estimates include mean, and the 95% uncertainty intervals. Only mean estimates are available for both sex.
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 contains no access to handwashing facility exposure estimates by year, location, age, and sex for the years 1990-2021. Exposure to no access to handwashing facility is defined as lack of access to a handwashing facility which includes soap (bar, liquid, or powder/detergent), water, and wash station (either permanent or mobile). This is a binary variable, i.e. one is either exposed or not exposed to a handwashing facility. Estimates include both the proportion of the population exposed and the number of individuals within the given population that are exposed. Estimates include mean, and the 95% uncertainty intervals. Only mean estimates are available for both sexes.
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 the prevalence of overweight and obesity across various child and adolescent age groups from 1990 to 2021, with projections from 2022 to 2050. The estimates are based on data sources from the GBD 2021 analyses.
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 the prevalence of overweight and obesity across various adult age groups from 1990 to 2021, with projections from 2022 to 2050. The estimates are based on data sources from the GBD 2021 analyses.
Homicide and homicide due to firearm 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 homicide and firearm-related homicide 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.
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 mean age of death, the fraction of suicide attempts (incident cases) to the number of deaths due to suicides, the ratio of incident cases to deaths, the number and percentage of suicide deaths that occurred from firearms, for males and females, globally and for each GBD region in 2021. The results also include a comparison of age-standardised mortality rate per 100,000 due to suicide by sex and region in 1990, 2019, and 2021. A variety of data were gathered to inform these estimates, including vital registration data, verbal autopsy data, and mortality surveillance data that included 23,782 study-location-years of data from GBD 2021.
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 16 European Economic Area (EEA) countries (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, Netherlands, Norway, Portugal, Spain, Sweden) and the United Kingdom (England, Northern Ireland, Scotland, Wales). This dataset includes estimates for life expectancy decomposition for 1990-2021. Data sources used to produce the estimates came from GBD 2021. Other estimates used to support this analysis (life expectancy (LE), summary exposure values (SEV), and population) can be accessed in the GBD 2021 Results Tool.
The Disease Expenditure Project (DEX) at IHME analyzed estimates for US spending on health care across 3,110 US counties to examine cost variation in 2019. Data for 4 key drivers of per capita spending were extracted for 3110 US counties, 148 health conditions, 38 age-sex groups, 4 payers, and 7 types of care. Service utilization was measured as service volume per prevalent case, while price and intensity was measured as spending per visit, admission, or prescription. This dataset contains the results of Das Gupta and Shapley decomposition methods and linear regression used to estimate the contribution of each factor.
The Disease Expenditure Project (DEX) at IHME produced estimates for US spending on health care in 3,110 US counties by condition, payer, age group, and type of care for 2010-2019. Types of care include ambulatory, dental, emergency department, home health, inpatient, nursing facility, and retail pharmaceutical. This study compiles data from over 40 billion insurance claims and nearly 1 billion facility records, tracking spending across Medicare, Medicaid, private insurance, and out-of-pocket payments.
These estimates can be explored using the US Health Spending visualization.
Diabetes 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 diabetes 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.
Estimates were produced for mortality rates and life expectancy at the merged county level in the United States, and by educational attainment population, for each year 2000 to 2019. These estimates were produced using population and deaths data from the National Center for Health Statistics.
This data set includes the following:
- CSV files of merged county-, state-, and national-level estimates of mortality rates and life expectancy for each age group, sex, year, and racial-ethnic group (all of which are non-Latino, except for the Latino group): White, Black, American Indian Alaska Native (AIAN), Asian Pacific Island (API), and 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. Six global nutrition targets (GNTs) related to low birthweight, exclusive breastfeeding, child growth (i.e., wasting, stunting, and overweight), and anemia among females of reproductive age were chosen by the World Health Assembly in 2012.
This dataset provides annual estimates for the prevalence and expected prevalence based on socio-demographic index (SDI) of the six GNT indicators in relevant age groups from 1990 to 2021, with projections of prevalence from 2022 to 2050. It also provides annual estimates for the attributable burden of the indicators in the years 2012 and 2021, and the annual estimates for livebirths and population in relevant age groups from 1990 to 2021, with population projections from 2022 to 2050. The estimates are based on data sources used in GBD 2021.
The Global Burden of Disease Study 2021 (GBD 2021) for USA states, coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for the United States of America and each individual State.
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, and healthy life expectancy for 2022-2050. Data sources used to produce the estimates came from GBD 2019 and GBD 2021 analyses.
This dataset contains estimates of the period lifetime probability of HIV acquisition, which quantifies the hypothetical probability of acquiring HIV for a “synthetic cohort”, a simulated population that is aged from birth to death through the set of age-specific incidence rates of a given time period. Using GBD 2021 HIV estimates, the prevalence of unsuppressed viraemia (PUV), which represents the proportion of the population without a suppressed level of HIV (viral load <1000 copies/mL) was also estimated. Forecasts for mortality, prevalence, and incidence through 2050 were also created.
Research by the IHME estimated malaria spending for 106 countries which were malaria-endemic over 2000-2020 or became malaria-free after 2000. These estimates cover malaria spending disaggregated by source into three domestic financing sources (government, out-of-pocket, and prepaid private) and development assistance for health (DAH). Government spending and DAH estimates are disaggregated by ten malaria program areas. Domestic spending estimates were produced from a diverse set of data, including National Malaria Control Programs, the WHO’s World Malaria Reports (WMRs), the WHO’s Global Health Expenditure Database (GHED), country spending estimates reported to the Pan American Health Organization (PAHO), country spending estimates reported to the Global Fund to Fight AIDS, Tuberculosis, and Malaria, and National Health Accounts (NHAs). Development Assistance for Malaria data were drawn from IHME’s 2021 Development Assistance for Health Database. Estimates are reported in constant 2021 USD.
Life expectancy estimates were produced in the United States between 2000-2021, for 10 mutually exclusive and collectively exhaustive Americas defined based on race and ethnicity, geographical location, metropolitan status, income and Black-White residential segregation, by sex, age group and year. These estimates were generated using population and deaths data from the National Center for Health Statistics.
This dataset includes the following:
- Estimates of life expectancy for each sex, age group, year and America
- Assignments of the Ten Americas classification for each combination of county and race and ethnicity
- 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.
This dataset provides annual estimates for the prevalence of overweight and obesity across various age groups from 1990 to 2021, with projections from 2022 to 2050. The estimates are based on data sources from the GBD 2021 analyses.
Human Development Index (HDI) is a composite metric encompassing information about longevity, education, and income. HDI estimates were produced at an individual level and summarized at the population level by race and ethnicity, sex, age, and location. These estimates were generated using data from the American Community Survey and the National Vital Statistics System. Please refer to the Data Release Information Sheet for this dataset for more information on the estimates and input data included.
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