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Global Burden of Disease Study 2019 (GBD 2019) Air Pollution Exposure Estimates 1990-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), 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 air pollution exposure estimates for ozone pollution, ambient particulate matter pollution, and household air pollution by year for 1990 to 2019. Population-weighted exposure summary files are provided for all air pollution risk factors, and gridded exposure files are provided for ozone and ambient particulate matter pollution. Files with GBD 2019 location hierarchies and ISO3 codes are also included. Estimates of disease burden attributable to air pollution risks are available through the GBD Results Tool.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Mortality Burden Attributable to Non-Optimal Temperature 1990-2019 File icon

This dataset contains estimates for deaths and years of life lost (YLLs) attributable to non-optimal temperature exposure (including high temperature, low temperature, and the aggregate non-optimal temperature risk) for 204 countries, Global Burden of Disease Study (GBD) regions and super regions, and globally for the years 1990, 2010, and 2010. These estimates inform a paper published in The Lancet in August 2021 titled “Estimating the cause-specific relative risks of non-optimal temperature on daily mortality: a two-part modelling approach applied to the Global Burden of Disease Study.”

Global Burden of Disease Study 2019 (GBD 2019) Dietary Risk Exposure Estimates 1990-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), 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 1990-2019. Files available in this record include estimates of the daily intake of the 15 GBD food groups (either in grams or percent energy) by year, sex, and 5-year age groups for age 25 and up, with an aggregated 25+ age group. Estimates of disease burden attributable to dietary risks are available through the GBD Results Tool.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Health Expenditures by Services and Providers 2000-2017 File icon

This dataset includes collected country-reported health expenditures and national health expenditure estimates for 195 countries from 2000 through 2017 by the System of Health Accounts (SHA) healthcare function (HC) and healthcare provider (HP) categories. The estimates are saved in level space, per capita, and as a share of total health spending. The estimates were created using 1662 country-years and 110,070 data points of health expenditures extracted and compiled from existing National Health Accounts (NHA).

United States Healthcare Spending by Race and Ethnicity 2002-2016 File icon

This dataset includes estimates of total health care spending in the US for 6 race/ethnicity groups by 6 types of care, sex, 19 age groups, and 7 health condition, as well as an aggregate of all health conditions, for the years 2002-2016. To produce these estimates, data on self-reported race and Hispanic ethnicity, age, sex, insurance coverage, knowledge of having key health conditions, and information about health system encounters (visits, admission, or prescriptions), diagnoses, and healthcare spending were extracted from the Medical Expenditure Panel Survey (2002-2016), the National Health Interview Survey (2002; 2016), and the Medicare Current Beneficiary Survey (2002-2012). These data were combined with healthcare spending estimates form the Disease Expenditure Project (1996-2016). Estimates are reported in inflation-adjusted 2016 US dollars.

Global Burden of Disease Study 2019 (GBD 2019) United States Fatal Police Violence by Race and State 1980-2019 File icon

Estimates of deaths due to police violence were produced for all ages by sex, state, and race/ethnicity for the United States between 1980 and 2019. Data from the USA National Vital Statistics System (NVSS) was compared to three non-governmental, open-source databases on police violence: Fatal Encounters, Mapping Police Violence, and The Counted. Data from all sources were extracted and standardized, and a network meta-regression used to quantify the rate of under-reporting within the USA NVSS. These rates were used to inform correction factors and provide adjusted mortality estimates.

Global COVID-19 Routine Childhood Vaccination Disruption 2020 File icon

This dataset provides estimates of the impact of COVID-19 on routine childhood immunizations (DTP3 and MCV1) monthly in 2020 by country, Global Burden of Disease (GBD) super-region, and globally. Indicators include mean and 95% uncertainty intervals for the estimated relative disruption attributable to COVID-19, estimated coverage, and expected coverage in the absence of COVID-19 for all locations and estimated doses missed, expected doses missed in the absence of COVID-19, and estimated doses missed attributable to COVID-19 for global and GBD super-region locations. These estimates were produced using administrative data and reports from electronic immunization systems, with mobility data as a model input.

Global Burden of Disease Study 2020, Release 1 (GBD 2020 R1) Routine Childhood Vaccination Coverage 1980-2019 File icon

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 2019 as part of the Global Burden of Disease Study 2020, Release 1 (GBD 2020 R1). The estimation process primarily utilized household survey microdata, household survey report data in the absence of microdata, and estimates of country-reported coverage data.

This dataset includes the following:

  • CSV files for national-level estimates of vaccine coverage, by vaccine
  • Code files used to generate the estimates

Global Young People Smoking Prevalence and Initiation Age 1990-2019 File icon

Estimates of smoking prevalence among young people ages 15 to 24 and age of smoking initiation were produced by sex and year for 204 countries and territories for 1990-2019. Files available in this record include estimates of the prevalence of smoking among young people, mean age of initiation, and quantiles from the distribution of initiation age. Study results were published in The Lancet Public Health in May 2021 in "Spatial, temporal, and demographic patterns in smoking prevalence and initiation among young people in 204 countries and territories, 1990-2019."

Global Burden of Disease Study 2019 (GBD 2019) Chewing Tobacco Use Prevalence 1990-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), 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 chewing tobacco use and the burden attributable to this risk factor were produced by sex, age group, and year for 204 countries and territories for 1990-2019. The files in this record include estimates of chewing tobacco use prevalence for people ages 15 and older by sex, age group, and year. Estimates of disease burden attributable to chewing tobacco use are available in the GBD Results Tool.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Burden of Disease Study 2019 (GBD 2019) Smoking Tobacco Use Prevalence 1990-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), 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 smoking tobacco use and the burden attributable to this risk factor were produced by sex, age group, and year for 204 countries and territories for 1990-2019. Files available in this record include estimates of the prevalence of smoking tobacco use, number of people that currently use smoked tobacco products, and supply-side tobacco availability and consumption. Estimates of disease burden attributable to smoking tobacco use are available through the GBD Results Tool.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Sustainable Development Goals (SDG) Intimate Partner Violence Indicator 1990-2019 File icon

Established in 2015 by the United Nations, the Sustainable Development Goals (SDGs) specify 17 universal goals for achieving "peace and prosperity" by reducing inequality, improving health and education, and more. Each goal contains a number of specific targets and indicators for measurement and is intended to be achieved by 2030. This dataset provides estimates on progress for indicator 5.2.1, the proportion of age-standardized prevalence of ever-partnered women ages 15 years and older who experienced physical or sexual violence by a current or former intimate partner in the last 12 months. Progress on this indicator is reported as index values (scaled 0 to 100) which cover 204 countries and territories from 1990 to 2019. The indicator is a component of SDG 5 (Achieve gender equality and empower all women and girls), target 5.2 (Eliminate all forms of violence against all women and girls in the public and private spheres, including trafficking and sexual and other types of exploitation).

Japan Provisional Cumulative Cases of Diseases per Sentinel Reporting by Prefecture 2017

The Infectious Disease Weekly Report (IDWR) tabulations Sentinel-Reporting Diseases provides cumulative cases of sentinel reporting diseases by prefecture reported in Japan during 2017. Case totals are provided for the country and by prefecture for 2017. Infectious disease case notification data for Japan, provided in the Infectious Disease Weekly Report (IDWR), are collected by the Infectious Disease Surveillance Center for the National Epidemiological Surveillance of Infectious Diseases (NESID) program. NESID data is collected from prefectural and municipal public health centers, and quarantine stations through an on-line reporting system.

Japan Provisional Cumulative Cases of Diseases per Sentinel Reporting by Prefecture 2018

The Infectious Disease Weekly Report (IDWR) tabulations Sentinel-Reporting Diseases provides cumulative cases of sentinel reporting diseases by prefecture reported in Japan during 2018. Case totals are provided for the country and by prefecture for 2018. Infectious disease case notification data for Japan, provided in the Infectious Disease Weekly Report (IDWR), are collected by the Infectious Disease Surveillance Center for the National Epidemiological Surveillance of Infectious Diseases (NESID) program. NESID data is collected from prefectural and municipal public health centers, and quarantine stations through an on-line reporting system.

Japan Provisional Cumulative Cases of Diseases per Sentinel Reporting by Prefecture 2019

The Infectious Disease Weekly Report (IDWR) tabulations Sentinel-Reporting Diseases provides cumulative cases of sentinel reporting diseases by prefecture reported in Japan during 2019. Case totals are provided for the country and by prefecture for 2019. Infectious disease case notification data for Japan, provided in the Infectious Disease Weekly Report (IDWR), are collected by the Infectious Disease Surveillance Center for the National Epidemiological Surveillance of Infectious Diseases (NESID) program. NESID data is collected from prefectural and municipal public health centers, and quarantine stations through an on-line reporting system.

Japan Provisional Cumulative Cases of Diseases per Sentinel Reporting by Prefecture 2020

The Infectious Disease Weekly Report (IDWR) tabulations Sentinel-Reporting Diseases provides cumulative cases of sentinel reporting diseases by prefecture reported in Japan during 2020. Case totals are provided for the country and by prefecture for 2020. Infectious disease case notification data for Japan, provided in the Infectious Disease Weekly Report (IDWR), are collected by the Infectious Disease Surveillance Center for the National Epidemiological Surveillance of Infectious Diseases (NESID) program. NESID data is collected from prefectural and municipal public health centers, and quarantine stations through an on-line reporting system.

Japan Provisional Cumulative Cases of Diseases per Sentinel Reporting by Prefecture 2021

The Infectious Disease Weekly Report (IDWR) tabulations Sentinel-Reporting Diseases provides cumulative cases of sentinel reporting diseases by prefecture reported in Japan during 2021. Case totals are provided for the country and by prefecture for 2021. Infectious disease case notification data for Japan, provided in the Infectious Disease Weekly Report (IDWR), are collected by the Infectious Disease Surveillance Center for the National Epidemiological Surveillance of Infectious Diseases (NESID) program. NESID data is collected from prefectural and municipal public health centers, and quarantine stations through an on-line reporting system.

Mexico - Yucatán Under-5 Endline Household Survey 2020 File icon

These data are the product of a collaboration between the Institute for Health Metrics and Evaluation (IHME) and the Universidad Autónoma de Yucatán (UADY). The objective of the project was to improve maternal and child health and the quality of health information in the state of Yucatán, Mexico through assessing the knowledge of alarm signs, and access and utilization of health services, among caregivers of children under 5 years of age. The population under study includes caregivers of children under 5 in 8 municipalities in Yucatán. This survey covered topics related to the identification of symptoms for common causes of death, health-care seeking behaviors, and a short series of questions related to COVID-19. In total, responses were collected from 500 respondents.

Mexico - Yucatán Under-5 Baseline Household Survey 2020 File icon

These data are the product of a collaboration between the Institute for Health Metrics and Evaluation (IHME) and the Universidad Autónoma de Yucatán (UADY). The objective of the project was to improve maternal and child health and the quality of health information in the state of Yucatán, Mexico through assessing the knowledge of alarm signs, and access and utilization of health services, among caregivers of children under 5 years of age. This dataset includes the results of a household census and caregiver interviewer. The population under study includes caregivers of children under 5 in 8 municipalities in Yucatán. In total, data were collected from 2,996 households.

Senegal, Mali, and Sierra Leone Oral Rehydration Therapy Geospatial Estimates 2000-2018 File icon

Annual estimates were produced for oral rehydration therapy coverage for children under 5 years of age who had diarrhea at the second administrative-level unit in Senegal, Mali, and Sierra Leone between 2000–2018. These estimates were produced using a geo-positioned dataset created from 23 household surveys. Survey sources used include the Demographic and Health Survey (DHS) and UNICEF Multiple Indicator Cluster Survey (MICS) series, and other country‐specific surveys.

This dataset includes the following:

  • CSV files of aggregated oral rehydration therapy coverage estimates at the second administrative level. Estimates are provided for three measures: Any oral rehydration solutions, Recommended home fluids only, and No oral rehydration therapy
  • Code files used to generate the estimates

Global Burden of Disease Study 2019 (GBD 2019) Under-5 Mortality by Detailed Age Groups 1950-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), 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 1950–2019 for numbers of deaths, mortality rate, and probability of death by sex for 6 age groups under 5 years: 0–6 days (early neonatal), 7–27 days (late neonatal), 1–5 months, 6–11 months, 12–23 months, and 2–4 years. There were 7417 sources used to produce these estimates. These included 28,016 location-years of vital registration data, 481 surveys with complete birth histories, and 1081 sources on summary birth histories.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Nepal Multiple Indicator Cluster Survey 2019

The sample for the Nepal MICS 2019 samples were collected at urban and rural areas of seven provinces: Province 1, Province 2, Bagmati province, Gandaki province, Lumbini province, Karnali province, and Sudoorpashchim province. Kathmandu valley urban is included as a separate stratum. The survey includes 6 questionnaires: 1) a household questionnaire; 2) water quality testing questionnaire 3) individual women, aged 15-49 years; 4) individual men (ages 15-49) administered in every second household; 5) a questionnaire for children under 5; and 6) a questionnaire for children age 5-17 years, administered to mothers (or caretakers). Fieldwork teams observed handwashing stations in households, measured the weights and heights of children age under 5 years, and tested household water for E. coli and source water for both E. coli levels and arsenic. The questionnaires were customized and translated into Nepali, Bhojpuri and Maithili. 

Global Tobacco Control and Smoking Prevalence Scenarios 2017 File icon

This dataset contains predicted 2017 smoking prevalence levels under unrealized tobacco control policy scenarios: 1) If WHO-attributed country achievement scores for select components of its MPOWER policy package (smoke-free (P), health warnings (W), and advertising (E)), and cigarette’s affordability (RIP) remained at the level they were at in 2008; 2) If the price of a cigarette pack was I$7.73 or higher; 3) If all countries had implemented each of the P, W, and E policies at the highest level; and 4) If countries had implemented both higher cigarette prices and P, W, and E policies at the highest level. Results were produced by sex and age group globally and for 155 countries. The dataset also includes data used to produce the counterfactual analysis, including GBD 2017 smoking prevalence estimates, different tobacco control policy indicators, cigarette prices and affordability, and more.

United States COVID-19 Scenarios 2020-2021 File icon

This dataset represents estimates of the ongoing COVID-19 pandemic across the 50 U.S. States and DC through 28th February 2021. Projections for total and daily deaths, daily infections, and testing are included with hospital resource use statistics. In total five scenarios are presented: a 'plausible reference scenario,' which assumes social distancing mandates are re-imposed for 6 weeks when a threshold daily death rate of 8 per million is reached; a 'mandates easing' scenario, where mandates are not re-imposed; a 'universal mask-use' scenario, where mask utilization reaches 95% usage in public in every location; a less comprehensive mask scenario of 85% public use of masks (‘plausible reference + 85% mask-use’ scenario); and a scenario of universal mask wearing in the absence of any additional NPI (‘mandate easing + universal mask use’). These projections are produced with a model that incorporates data on observed COVID-19 deaths, hospitalizations, and cases, as well as multiple covariates.

United States Health-Care Spending Attributable to Modifiable Risk Factors 2016 File icon

This dataset is the result of a study to quantify health-care spending attributable to modifiable risk factors in the United States of America for 2016. Data from two existing studies were used to produce the estimates. The first dataset is the Institute for Health Metrics and Evaluation’s Disease Expenditure Study 2016, from which estimates of US health-care spending by condition, age, and sex were extracted. These results were merged with population attributable fraction estimates for 84 modifiable risk factors from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017. Estimates were produced for spending by 14 aggregate conditions attributable to 19 risk factors. The estimates are by sex and 5 age groups and reported in 2016 US dollars.

Global Burden of Disease Study 2019 (GBD 2019) Demographics 1950-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), 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 from the GBD Results Tool. Estimates are available by age and sex for 1950-2019. Select tables published in The Lancet in October 2020 in "Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019" are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Anemia Prevalence Geospatial Estimates 2000-2019 File icon

Annual estimates were produced for anemia prevalence in women of reproductive age (15-49 years) at the 5x5 km-level for 82 low- and middle-income countries (LMICs) between 2000 and 2019. These estimates were produced using a geo-positioned dataset created from 218 household surveys. Countries and subnational units outside of these 82 LMICs were supplemented with GBD results.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of anemia prevalence in women of reproductive age (15-49 years) for 82 LMICs
  • CSV files of aggregated for 195 countries at the national level, 82 LMICs plus GBD subnational locations at the first-level administrative divisions, and 82 LMICs at the second-level administrative divisions
  • Code files used to generate the estimates

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Sub-Saharan Africa HIV Incidence and Mortality Geospatial Estimates 2000-2018 File icon

Annual estimates were produced for HIV incidence and mortality among adults ages 15-49 at the 5x5 km-level for 44 countries in sub-Saharan Africa between 2000 and 2018. These estimates were produced using a geo-positioned dataset created from 717 sources representing antiretroviral treatment data in UNAIDS Spectrum country files, country-level reports from the Health Management Systems database, and PEPFAR data; HIV seroprevalence surveys; ANC Sentinel Surveillance data; covariate surveys; and country specific surveys.

This dataset includes the following:

  • CSV files of aggregated incidence and mortality estimates for each country at zero, first and second administrative divisions
  • Code files used to generate the estimates

Global Exclusive Breastfeeding Prevalence Geospatial Estimates 2000-2019 File icon

Annual estimates were produced for exclusive breastfeeding prevalence among infants under 6 months of age at the 5x5 km-level for 94 low- and middle-income countries (LMICs) between 2000 and 2019. These estimates were produced using a geo-positioned dataset created from 394 household surveys. Countries and subnational units outside of these 94 LMICs were supplemented with GBD results. This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of exclusive breastfeeding prevalence among infants under 6 months of age for 94 LMICs
  • CSV files of aggregated for 195 countries at the national level, 94 LMICs plus GBD subnational locations at the first-level administrative divisions, and 94 LMICs at the second-level administrative divisions
  • Code files used to generate the estimates

Get Data Files

Turkmenistan Multiple Indicator Cluster Survey 2019

The sample for the 2019 Turkmenistan MICS was designed to provide estimates for a large number of indicators on the situation of children and women at the national level, for urban and rural areas, and for 6 regions: Ashgabat city, Akhal, Balkan, Dashoguz, Lebap and Mary velayats. The urban and rural areas within each region were identified as the main sampling strata and the sample of households was selected in two stages.

Four questionnaires were used in the survey: 1) a household questionnaire to collect basic demographic information on all de jure household members, the household, and the dwelling; 2) a questionnaire for individual women administered in each household to all women age 15-49 years; 3) an under-5 questionnaire, administered to mothers (or caretakers); and 4) a questionnaire for children age 5-17 years, administered to the mother (or caretaker) of one randomly selected child age 5-17 years living in the household.

Global Burden of Disease Study 2019 (GBD 2019) Migration Estimates 1950-2018 File icon

The Global Burden of Disease Study 2019 (GBD 2019), 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 migration estimates by location, sex, age, and single calendar year for 1950-2018. Data sources used to produce these estimates came from 1,250 censuses and 747 population registry location-years.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Burden of Disease Study 2019 (GBD 2019) Population Estimates 1950-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), 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 migration estimates by location, sex, age, and single calendar year for 1950-2019. Data sources used to produce these estimates came from 1,250 censuses and 747 population registry location-years. This dataset provides population estimates for 1950-2019 by the following: location; single calendar year; single year of age; 5-year age group and select custom age aggregates; and sex. Data sources used to produce these estimates came from 1,250 censuses and 747 population registry location-years.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

2019 Pregnancy Outcomes in Health Facilities in Kigoma Region, Tanzania: Final Report File icon

The CDC's Division of Reproductive Health monitors and evaluates activities of the Reducing Maternal Mortality in Tanzania Project in the remote Kigoma region of western Tanzania. As part of that project, this evaluation collected and analyzed data on maternal and perinatal health outcomes as well as the capacity and functionality of emergency obstetric and neonatal care (EmONC) services.

This endline evaluation used a pregnancy outcomes monitoring system (POMS) method to collect and examine data from 197 health facilities. This method collects data from labor and delivery registers, operating theater registers, admission and discharge registers, case notes, in-patient postpartum care registers, nurses' report books, and obstetric wards daily reports. The evaluation also employed a modified form of Rapid Ascertainment Process for Institutional Deaths (RAPID), a method that aims to identify all maternal deaths occurring in a facility.

Tanzania - Kigoma Health Facility Assessment of Emergency Obstetric and Neonatal Care Services 2019 File icon

The CDC's Division of Reproductive Health monitors and evaluates activities of the Reducing Maternal Mortality in Tanzania Project in the remote Kigoma region of western Tanzania. As part of that project, this endline survey collected data on changes in emergency obstetric and neonatal care (EmONC) capacity and quality, maternal and neonatal care and family planning, pregnancy outcomes, and maternal morbidity and mortality. Data were collected by visiting 197 health facilities and administering an enhanced health facility assessment (HFA) questionnaire.

Results of the survey are reported in "2019 Health Facility Assessment of Emergency Obstetric & Neonatal Care Services Kigoma Region, Tanzania: Final Report."

Global Lymphatic Filariasis Prevalence Geospatial Estimates 2000-2018 File icon

Estimates were produced for lymphatic filariasis (LF) all-age prevalence at the 5x5 km-level in endemic countries across Africa, Asia, and Hispaniola, annually between 2000 and 2018. Bayesian time series estimates were produced for 17 small area geographies in South America, the Indian Ocean, and Oceania. These estimates were produced using data on LF and geographical locations from endemicity mapping surveys, sentinel surveillance surveys, transmission assessment surveys (TAS), and other sources.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of LF prevalence rate, counts, and posterior probability that prevalence was lower than 2% in 2018
  • CSV files of aggregated estimates of LF prevalence rate, count and posterior probability of prevalence below 2% (2018) for each country at the zero, first, and second administrative divisions
  • Code files used to generate the estimates

Sub-Saharan Africa Male Circumcision Geospatial Estimates 2000-2017 File icon

Annual estimates were produced for adult male circumcision (MC) prevalence and the number of circumcised and uncircumcised males ages 15-49 at the 5x5 km-level for 38 countries in sub-Saharan Africa between 2000 and 2017. These estimates were produced using a geo-positioned dataset created from 109 household surveys. Survey sources used include the Demographic and Health Survey (DHS), AIDS Indicator Survey (AIS), Multiple Indicator Cluster Survey (MICS), Core Welfare Indicators Questionnaire Survey (CWIQ), Population-based HIV Impact Assessment Survey (PHIA), and other country‐specific surveys.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of male circumcision (MC) prevalence and the number of circumcised and uncircumcised males ages 15-49
  • CSV files of aggregated circumcision estimates for each country at zero, first and second administrative divisions
  • Code files used to generate the estimates

Low- and Middle-Income Country Oral Rehydration Therapy Coverage Geospatial Estimates 2000-2017 File icon

Annual estimates were produced for oral rehydration therapy (ORT) coverage for children under 5 years of age who had diarrhea at the 5x5 km-level for 94 low- and middle-income countries (LMICs) between 2000-2017. These estimates were produced using a geo-positioned dataset created from 385 household surveys. Survey sources used include the Demographic and Health Survey (DHS) and UNICEF Multiple Indicator Cluster Survey (MICS) series, and other country‐specific surveys.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of oral rehydration therapy percent (percent of children with diarrhea who received treatment) and number (number of children with diarrhea who received treatment)
  • CSV files of aggregated oral rehydration therapy coverage percent and number for each country at zero, first and second administrative divisions
  • Code files used to generate the estimates

Global Burden of Disease Study 2019 (GBD 2019) Burden by Risk 1990-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), 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 deaths, YLLs, YLDs, and DALYs attributable to 87 risk factors as well as estimates for summary exposure values (SEVs) by risk are available from the GBD Results Tool. Estimates are available by age and sex for 1990-2019. Select tables published in The Lancet in October 2020 in "Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019" are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Burden of Disease Study 2019 (GBD 2019) Disease and Injury Burden 1990-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), 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 incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs) due to 369 diseases and injuries are available from the GBD Results Tool. Estimates are available by age and sex for 1990-2019. Select tables published in The Lancet in October 2020 in "Global burden of 369 diseases and injuries, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019" are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Educational Attainment Distributions 1970-2030 File icon

IHME researchers produced this dataset as part of an analysis measuring and forecasting progress by countries towards education-related Sustainable Development Goal (SDG) targets. Annual estimates were created for the average years of schooling and single-year distribution of educational attainment by sex for adults ages 25-29 for 1970 to 2018. Projections were also generated for these indicators to 2030. Estimates were created for the 195 countries and territories examined in the Global Burden of Disease 2017 study. The estimates were produced using a compiled database of 3,180 nationally representative surveys and censuses describing the distribution of years of schooling by age and sex.

Global Burden of Disease Study 2019 (GBD 2019) Life Expectancy and Healthy Life Expectancy 1990-2019

The Global Burden of Disease Study 2019 (GBD 2019), 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 life expectancy and healthy life expectancy (HALE) are available from the GBD Results Tool. Estimates are available by age and sex for 1990-2019.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

European Economic Area COVID-19 Hospital Needs and Death Projections

IHME has produced forecasts which show hospital bed use, need for intensive care beds, and ventilator use due to COVID-19 based on projected deaths for countries in the European Economic Area (EEA). Forecasts at the subnational level are included for three of these: Germany, Italy, and Spain. These projections are produced by models based on observed death rates from COVID-19, and include uncertainty intervals. They incorporate information about social distancing and other protective measures and are being updated daily with new data. These forecasts were developed in order to provide hospitals, policy makers, and the public with crucial information about how expected need aligns with existing resources, so that cities and states can best prepare.

Access current projections

Global HIV/AIDS Spending 2000-2017 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network estimated HIV/AIDS spending for 134 low- and middle-income countries for 2000-2017. The estimates cover HIV/AIDS spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and prepaid private) and development assistance for health (DAH). Spending is also disaggregated by function, including care and treatment, prevention, and other spending. Domestic HIV/AIDS spending by source and function was estimated based on data from sources including National AIDS Spending Assessments (NASA), the Global Fund, WHO National Health Accounts and sub-accounts, UNAIDS Global AIDS Response Progress Reports (GARPR), the GARPR database, UNAIDS health financing dashboard, and the AIDS data hub. Development assistance for HIV/AIDS data were drawn from IHME's 2019 Development Assistance for Health Database. Estimates are reported in constant 2019 United States dollars.

Development Assistance for Health Database 1990-2019 File icon

This version of the Development Assistance for Health (DAH) Database includes estimates for 1990-2019, 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. New in 2019: The current estimates of DAH incorporated improvements in methodology such as leveraging additional project-level descriptions from the Creditor Reporting System for the allocation of disbursements channeled through non-governmental organizations (NGOs) and ongoing refinement of the project’s keyword search list.

To better understand the data and how to use it, please refer to the IHME DAH Database 2019 User Guide.

United States COVID-19 Hospital Needs and Death Projections

IHME has produced forecasts which show hospital bed use, need for intensive care beds, and ventilator use due to COVID-19 based on projected deaths for all 50 U.S. states. These projections are produced by models based on observed death rates from COVID-19, and include uncertainty intervals. They incorporate information about social distancing and other protective measures and are being updated daily with new data. These forecasts were developed in order to provide hospitals, policy makers, and the public with crucial information about how expected need aligns with existing resources, so that cities and states can best prepare.

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China HeartRescue Global Evaluation Baseline Health Facility Survey 2015 File icon

The HeartRescue Global Project, a multi-country, multi-year effort aims to improve access and quality for acute cardiovascular disease (CVD), including ST-elevation myocardial infarction (STEMI) and sudden cardiac arrest (SCA) in selected locations in China, India, and Brazil. This dataset is the product of a HeartRescue program impact evaluation. It includes results of a baseline health facility and emergency medical service (EMS) survey conducted in Beijing and Shanghai, China. Data were collected from three secondary hospitals and one tertiary hospital. Data were collected about facility capacity, equipment availability, pharmaceutical and supply stocks, staffing, and services provided. The data were collected through computer-assisted personal interviews (CAPI).

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