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Global Burden of Disease Study 2021 (GBD 2021) Stillbirth Estimates 1990-2021 File icon

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 annual estimates for number and rates of stillbirth at ≥ 20 and ≥ 28 weeks gestation from 1990-2021. For additional GBD results and resources, visit the GBD 2021 Data Resources page.

Global Burden of Disease Study 2021 (GBD 2021) Demographics 1950-2021 File icon

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 are available by age and sex for 1950-2021 from the GBD Results Tool. Select tables published in The Lancet in March 2024 in "Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2021" are also available for download via the “Files” tab above.

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

United States Liver Cancer Mortality Rates by County, Race, and Ethnicity 2000-2019 File icon

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

Effects of Education on Adult Mortality Systematic Review and Meta-Analysis Estimates File icon

Researchers at IHME and the Centre for Global Health Inequalities Research (CHAIN) at the Norwegian University of Science and Technology (NTNU), conducted a systematic review and meta-analysis to assess the effect of education on all-cause adult mortality. Mixed-effects meta-regression models were implemented to address heterogeneity in referent and exposure measures among studies and to adjust for study-level covariates. 17 094 unique records were identified, 603 of which were eligible for analysis and included data from 70 locations in 59 countries, producing a final dataset of 10 355 observations. Education showed a dose–response relationship with all-cause adult mortality, with an average reduction in mortality risk of 1·9% per additional year of education. The effect was greater in younger age groups than in older age groups, and researchers found no differential effect of education on all-cause mortality by sex or sociodemographic index level.

Development Assistance for Health on COVID-19 Database 2020-2022 File icon

Development Assistance for Health (DAH) on COVID-19 produced estimates for 2020-2022, 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 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.

Development Assistance for Health Database 1990-2022 File icon

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 2022 User Guide.

Burkina Faso, Kenya, and Nigeria Family Planning Indicator Estimates 2000-2020 File icon

Estimates were produced for family planning for women ages 15-49 years at the 5x5 km-level in Burkina Faso, Kenya, and Nigeria from 2000-2020. They were produced using data from 65 population-based household surveys conducted in Africa between 2000 and 2020 that included information on contraception use and fertility, and subnational geographical location for women 15-49 years.

This dataset includes:

  • GeoTIFF raster files for pixel-level estimates of CPR (contraceptive prevalence), mCPR (modern contraceptive prevalence), tCPR (traditional contraceptive prevalence), unmet need (unmet need for contraception), met need (met need for contraception with modern methods), and intent (intent to use contraception in the future)
  • CSV files of aggregated estimates at the country level and the first and second administrative divisions
  • Code files used to generate the estimates

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Global Burden of Disease (GBD) Cardiovascular Burden Estimates 1990-2022 File icon

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.

Global Burden of Disease Study (GBD) Alcohol Consumption and Ischemic Heart Disease Burden of Proof and Risk-Outcome Scores File icon

Researchers systematically reviewed, identified, and extracted data from cohort, case-control, and Mendelian randomization studies published between 1970 and 2021 that estimated the association between alcohol consumption and risk of ischemic heart disease. In total, 124 unique studies were included. Relative risk curves for the association between alcohol consumption and ischemic heart disease were estimated using data from cohort and case-control studies separately and in combination, and from Mendelian randomization studies using the Burden of Proof meta-analytic framework.

WHO Africa Region Bacterial Antimicrobial Resistance Burden Estimates 2019 File icon

Researchers at IHME and the University of Oxford estimated deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) associated with and attributable to bacterial antimicrobial resistance (AMR) in 88 pathogen-drug combinations for the WHO Region of Africa and for 35 countries in 2019. Data gathered to inform these estimates included multiple cause of death data, hospital discharges, minimally invasive tissue sampling, systematic literature reviews, and microbiology lab results from hospitals and national and multi-national surveillance systems, totaling 343 million individual records or isolates and 11,361 study-location-years collected. These data informed 8 modelling components which were combined with results from GBD 2019 to estimate AMR burden. Estimates were produced for two counterfactual scenarios: no infection and drug-susceptible infection.

Pandemic Recovery Survey Indicators 2023 File icon

This dataset contains aggregated indicators calculated using self-report survey data from more than 621,000 people in 21 countries aged 18 years and up collected from March-May 2023. Data were collected through a stratified random sampling approach of Facebook users via a Qualtrics platform. Questionnaires were translated into 15 languages and survey weights were calculated to help correct for sampling bias. Indicator topics include access to health care, trust in governmental organizations, vaccine confidence, financial security, food security, education, COVID-19 vaccination status, childhood routine immunizations, and demographic and behavioral variables.

Global Burden of Disease Study 2021 (GBD 2021) Anemia Prevalence and Years Lived with Disability by Cause 1990-2021 File icon

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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Nicaragua Salud Mesoamérica Initiative Third Follow-Up Health Facility Survey 2022 File icon

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.

Honduras Salud Mesoamérica Initiative Third Follow-Up Health Facility Survey 2022 File icon

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.

El Salvador Salud Mesoamérica Initiative Third Follow-Up Health Facility Survey 2022 File icon

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.

Belize Salud Mesoamérica Initiative Third Follow-Up Health Facility Survey 2022 File icon

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.

Nicaragua Salud Mesoamérica Initiative Third Follow-Up Household Survey 2022 File icon

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.

Honduras Salud Mesoamérica Initiative Third Follow-Up Household Survey 2022 File icon

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.

El Salvador Salud Mesoamérica Initiative Third Follow-Up Household Survey 2022 File icon

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.

Belize Salud Mesoamérica Initiative Third Follow-Up Household Survey 2022 File icon

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.

Panama Salud Mesoamérica Initiative Second Follow-Up Health Facility Survey 2018 File icon

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.

Nicaragua Salud Mesoamérica Initiative Second Follow-Up Health Facility Survey 2017 File icon

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.

Mexico Salud Mesoamérica Initiative Second Follow-Up Health Facility Survey 2018 File icon

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.

Honduras Salud Mesoamérica Initiative Second Follow-Up Health Facility Survey 2017 File icon

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.

Guatemala Salud Mesoamérica Initiative Second Follow-Up Health Facility Survey 2018 File icon

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.

El Salvador Salud Mesoamérica Initiative Second Follow-Up Health Facility Survey 2017 File icon

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.

Belize Salud Mesoamérica Initiative Second Follow-Up Health Facility Survey 2017 File icon

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.

Panama Salud Mesoamérica Initiative Second Follow-Up Household Survey 2018 File icon

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.

Nicaragua Salud Mesoamérica Initiative Second Follow-Up Household Survey 2017 File icon

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.

Mexico Salud Mesoamérica Initiative Second Follow-Up Household Survey 2018 File icon

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.

Honduras Salud Mesoamérica Initiative Second Follow-Up Household Survey 2017 File icon

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.

Guatemala Salud Mesoamérica Initiative Second Follow-Up Household Survey 2018 File icon

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.

El Salvador Salud Mesoamérica Initiative Second Follow-Up Household Survey 2017 File icon

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.

Costa Rica Salud Mesoamérica Initiative Second Follow-Up Household Survey 2018 File icon

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. Funding focuses on supply- and demand-side interventions, including evidence-based interventions, the expansion of proven and cost-effective healthcare packages, and the delivery of incentives for effective health services. One of its defining features is the application of a results-based financing (RBF) model that relies on performance measurement and enhanced transparency and accountability. The initiative focuses its resources on integrating key interventions aimed at reducing health inequalities that stem from the lack of access to quality reproductive, maternal, neonatal, and child health services (including immunization and nutrition services) for the poorest quintile of the population.

Belize Salud Mesoamérica Initiative Second Follow-Up Household Survey 2017 File icon

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.

WHO Americas Region Bacterial Antimicrobial Resistance Burden Estimates 2019 File icon

Researchers at IHME and the University of Oxford produced estimates of deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) associated with and attributable to bacterial antimicrobial resistance (AMR) in 88 pathogen-drug combinations for the WHO Region of the Americas and for 35 countries within this geographical region in 2019. A variety of data were gathered to inform these estimates, including multiple cause of death data, hospital discharges, minimally invasive tissue sampling, systematic literature reviews, and microbiology lab results from hospitals and national and multi-national surveillance systems, with a total of 343 million individual records or isolates and 11,361 study-location-years collected. These data informed 8 modelling components which were then combined with results from GBD 2019 to estimate the burden of AMR. Estimates were produced for two counterfactual scenarios: no infection and drug-susceptible infection.

Nigeria DTP Vaccine Coverage Estimates 2000-2018 File icon

This dataset provides estimates of first- and third-dose coverage of diphtheria-tetanus-pertussis (DTP) vaccine at the first- and second-administrative unit levels in Nigeria from 2000-2018. These estimates were produced using data on vaccination coverage and geographical locations from household-based surveys.

This dataset includes the following:

  • CSV files of aggregated DTP1 and DTP3 coverage estimates at the first, and second administrative unit divisions
  • Code files used to generate the estimates

United States Maternal Mortality Ratio Estimates by Race and Ethnicity 1999-2019 File icon

This dataset includes estimates generated by IHME to assess trends in maternal mortality across five racial and ethnic groups in the U.S. The dataset includes MMR (maternal mortality ratio) estimates for Hispanic and any race; non-Hispanic American Indian and Alaska Native; non-Hispanic Asian, Native Hawaiian, or Other Pacific Islander; non-Hispanic Black; and non-Hispanic White females ages 10-54 for each year from 1999 through 2019. The dataset includes national estimates, estimates for each Census region, estimates for each racial and ethnic group and Census region, and estimates for each racial and ethnic group and state. 

United States Stomach Cancer Mortality Rates by County, Race, and Ethnicity 2000-2019 File icon

Stomach cancer mortality rate estimates were produced at the county level in the United States, by racial/ethnic group, 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 stomach cancer 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

United States Mortality Rates by Causes of Death and Life Expectancy by County, Race, and Ethnicity 2000-2019 File icon

Mortality rate estimates were produced at the county level in the United States, for 19 causes of death and by racial/ethnic group, 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 mortality rates and life expectancy 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

Global Burden of Disease Study 2019 (GBD 2019) Meningitis by Pathogen Incidence and Mortality Estimates 1990-2019 File icon

Researchers at IHME and the University of Oxford produced estimates of the burden associated with all-cause meningitis and 10 aetiologies for 204 Global Burden of Disease Study (GBD) countries between 1990 and 2019. Meningitis mortality was informed by vital registration, verbal autopsy, sample-based vital registration, and mortality surveillance data. Meningitis morbidity was informed by data from published literature identified by a systematic review, as well as surveillance data, inpatient hospital admissions, health insurance claims, and cause-specific meningitis mortality estimates. Pathogen distributions were informed by data from multiple cause of death, vital registration, hospital discharge, and microbiological laboratory databases, and literature studies. 

Zero-Dose Diphtheria–Tetanus–Pertussis Vaccination Prevalence and Estimates of Overlap with Other Health Indicators File icon

Subnational estimates were produced of the overlap of prevalence of target-age children who have never received a dose of diphtheria-tetanus-pertussis-containing vaccine (No-DTP) with that of five related health indicators: 1) children with stunting, 2) mortality among children under 5, 3) children who had diarrhea who did not receive oral rehydration therapy, 4) prevalence of lymphatic filariasis (LF), and 5) individuals who did not sleep under insecticide-treated bednets. Data are presented at the second administrative level for five countries: Angola, Democratic Republic of the Congo, Ethiopia, Indonesia, and Nigeria. Data are presented for the years 2000 and the most recent year of data available for the respective health indicators. Data include designations into population-weighted quartiles according to both prevalence and counts, and at both country-specific and multinational levels. Values for percent overlap and area under the curve (AUC) are also included at the national level.

Argentina Vital Statistics 2021

Part of the National Program of Health Statistics' Series 5 on Vital Statistics, issue no. 65 contains tabulated data on registered births, deaths, fetal deaths, and marriages. Tabulations include data that date from 1990 to 2021 but the majority of data concerns 2021.

Past SARS-CoV-2 Infection Protection Against Reinfection Systematic Review and Meta-Analysis Estimates File icon

Researchers at IHME systematically reviewed, identified, and extracted data from scientific literature studies that estimated the reduction in risk of COVID-19 among individuals with a past SARS-CoV-2 infection in comparison to those without a previous infection. The outcomes assessed were reinfection, symptomatic reinfection, and severe reinfection (hospitalization or death). Extracted SARS-CoV-2 lineages were ancestral, mixed (two different specified variants – e.g., ancestral and Alpha), Alpha (B.1.1.7), Beta (B.1.351), Delta (B.1.617.2), and Omicron (BA.1) and its sub-lineages (BA.2, BA.4/BA.5). A total of 65 studies from 19 different countries were identified. The researchers also produced a meta-analysis of the effectiveness of past infection by outcome (infection, symptomatic disease, and severe disease), variant, and time since infection.

Gross Domestic Product Per Capita 1960-2050 - FGH 2021 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network produced estimates for Gross Domestic Product (GDP) from 1960-2050. Estimates are reported as GDP per person in constant 2021 purchasing-power parity-adjusted (PPP) dollars. 

Global Expected Health Spending 2020-2050 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2020-2050 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 1995-2019 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 2021 US dollars, constant 20201purchasing-power parity-adjusted (PPP) dollars, and as a percent of gross domestic product.

Global Health Spending 1995-2019 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective health spending estimates for 1995-2019 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 2020-2050. Estimates are reported in constant 2021 United States Dollars, constant 2021 purchasing power parity adjusted (PPP) dollars, and as a percent of gross domestic product.

Development Assistance for Health Database 1990-2021 File icon

This version of the Development Assistance for Health (DAH) Database includes estimates for 1990-2021, 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 2021 User Guide.

Development Assistance for COVID-19 Vaccine Delivery 2020-2021 File icon

This dataset includes estimates for COVID-19 spending on vaccine delivery for seven regions in 2020-2021. These estimates are based on project databases, financial statements, annual reports, IRS 990s, and correspondence with agencies. The estimates are disaggregated by source of funds, channels or disbursing entities, focus or program area for the spending, and spending type. Estimates are reported in 2021 US dollars.

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