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Premise Women's Health COVID-19 Health Services Disruption Survey 2021 File icon

The Premise Child Health COVID-19 Health Services Disruption Survey 2021 is a follow-up series to the COVID-19 Health Services Disruption Survey 2020 series conducted in July 2020. These surveys were developed to assess the level of disruption to a range of health services resulting from the COVID-19 pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease. Data generated from this survey is not intended to be used as an overall estimate of the level of health service delivery.

This survey was conducted in 51 countries using the smartphone-based Premise data collection platform. Respondents were 4,319 individual members of the general population ages 16-49 years who identified as women. The survey focused on the level of disruption to family planning and reproductive health services and changes in risk of gender-based violence

Premise Malaria COVID-19 Health Services Disruption Survey 2021 File icon

The Premise Malaria COVID-19 Health Services Disruption Survey 2021 is a follow-up series to the COVID-19 Health Services Disruption Survey 2020 series conducted in July 2020. These surveys were developed to assess the level of disruption to a range of health services resulting from the COVID-19 pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease. Data generated from this survey is not intended to be used as an overall estimate of the level of health service delivery.

This survey was conducted in 51 countries using the smartphone-based Premise data collection platform. Respondents were 4,870 individual members of the general population in 20 African countries where malaria is endemic. The survey focused on the level of disruption to malaria prevention activities and malaria testing and treatment.

Premise Infant and Maternal Health COVID-19 Health Services Disruption Survey 2021 File icon

The Premise Infant and Maternal Health COVID-19 Health Services Disruption Survey 2021 is a follow-up series to the COVID-19 Health Services Disruption Survey 2020 series conducted in July 2020. These surveys were developed to assess the level of disruption to a range of health services resulting from the COVID-19 pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease. Data generated from this survey is not intended to be used as an overall estimate of the level of health service delivery.

This survey was conducted in 51 countries using the smartphone-based Premise data collection platform. Respondents were 2,282 individual members of the general population who were pregnant or had given birth within the past 6 months at the time of the survey. The survey focused on the level of disruption to the provision of antenatal care and delivery services for pregnant women.

Premise General Population COVID-19 Health Services Disruption Survey 2021 File icon

The Premise General Population COVID-19 Health Services Disruption Survey 2021 is a follow-up series to the COVID-19 Health Services Disruption Survey 2020 series conducted in July 2020. These surveys were developed to assess the level of disruption to a range of health services resulting from the COVID-19 pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease. Data generated from this survey is not intended to be used as an overall estimate of the level of health service delivery.

This survey was conducted in 51 countries using the smartphone-based Premise data collection platform. Respondents were 18,649 individual members of the general population. The survey focused on the level of disruption to the provision of general health services, including visits to medical providers and access to medication.

Premise Education COVID-19 Health Services Disruption Survey 2021 File icon

The Premise Education COVID-19 Health Services Disruption Survey 2021 is a follow-up series to the COVID-19 Health Services Disruption Survey 2020 series conducted in July 2020. These surveys were developed to assess the level of disruption to a range of health services resulting from the COVID-19 pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease. Data generated from this survey is not intended to be used as an overall estimate of the level of health service delivery.

This survey was conducted in 51 countries using the smartphone-based Premise data collection platform. Respondents were 23,376 individual members of the general population who served as caregiver to school-age children. The survey focused on the level of disruption to education for school-age children.

Premise Child Health COVID-19 Health Services Disruption Survey 2021 File icon

The Premise Child Health COVID-19 Health Services Disruption Survey 2021 is a follow-up series to the COVID-19 Health Services Disruption Survey 2020 series conducted in July 2020. These surveys were developed to assess the level of disruption to a range of health services resulting from the COVID-19 pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease. Data generated from this survey is not intended to be used as an overall estimate of the level of health service delivery.

This survey was conducted in 51 countries using the smartphone-based Premise data collection platform. Respondents were 7,383 individual members of the general population who served as caregiver to at least one child under the age of two years old. The survey focused on the level of disruption to vaccination and general health services for children under the age of two.

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 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.

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.

Premise Malaria COVID-19 Health Services Disruption Survey 2020 File icon

The COVID-19 Health Services Disruption Survey 2020 is a series of surveys developed to assess the level of disruption to a range of health services resulting from the COVID-19 global pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease.

This survey was conducted in 76 countries using the smartphone-based Premise data collection platform. Respondents were individual members of the general population in 20 African countries where malaria is endemic. Data were collected from 14,615 respondents. The survey focused on the level of disruption to malaria prevention activities and malaria testing and treatment.

The survey was developed specifically to assess the change in levels of service delivery prior to, and immediately following, the onset of the COVID-19 global pandemic. Data generated from this survey is not intended to be used as an overall estimate of the level of health service delivery.

Premise Women’s Health COVID-19 Health Services Disruption Survey 2020 File icon

The COVID-19 Health Services Disruption Survey 2020 is a series of surveys developed to assess the level of disruption to a range of health services resulting from the COVID-19 global pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease.

This survey was conducted in 76 countries using the smartphone-based Premise data collection platform. Respondents were individual members of the general population ages 15-49 years who identified as women. Data were collected from 12,354 respondents. The survey focused on the level of disruption to family planning and reproductive health services and changes in risk of gender-based violence.

The survey was developed specifically to assess the change in levels of service delivery prior to, and immediately following, the onset of the COVID-19 global pandemic. Data generated from this survey is not intended to be used as an overall estimate of the level of health service delivery.

Premise Infant and Maternal Health COVID-19 Health Services Disruption Survey 2020 File icon

The COVID-19 Health Services Disruption Survey 2020 is a series of surveys developed to assess the level of disruption to a range of health services resulting from the COVID-19 global pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease.

This survey was conducted in 76 countries using the smartphone-based Premise data collection platform. Respondents were individual members of the general population who were pregnant or had given birth within the past 6 months at the time of the survey. Data were collected from 2,129 respondents. The survey focused on the level of disruption to the provision of antenatal care and delivery services for pregnant women.

The survey was developed specifically to assess the change in levels of service delivery prior to, and immediately following, the onset of the COVID-19 global pandemic. Data generated from this survey is not intended to be used as an overall estimate of the level of health service delivery.

Premise Child Health COVID-19 Health Services Disruption Survey 2020 File icon

The COVID-19 Health Services Disruption Survey 2020 is a series of surveys developed to assess the level of disruption to a range of health services resulting from the COVID-19 global pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease.

This survey was conducted in 76 countries using the smartphone-based Premise data collection platform. Respondents were individual members of the general population who served as caregiver to at least one child under the age of two years. Data were collected from 7,230 respondents. The survey focused on the level of disruption to the provision of vaccines and general health services for children under the age of two.

The survey was developed specifically to assess the change in levels of service delivery prior to, and immediately following, the onset of the COVID-19 global pandemic. Data generated from this survey is not intended to be used as an overall estimate of the level of health service delivery.

Premise General Population COVID-19 Health Services Disruption Survey 2020 File icon

The COVID-19 Health Services Disruption Survey 2020 is a series of surveys developed to assess the level of disruption to a range of health services resulting from the COVID-19 pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease.

This survey was conducted in 76 countries using the smartphone-based Premise data collection platform. Respondents were individual members of the general population. Data were collected from 52,492 respondents. The survey focused on the level of disruption to the provision of general health services, including visits to medical providers and access to medication.

The survey was developed specifically to assess the change in levels of service delivery prior to, and immediately following, the onset of the COVID-19 global pandemic. Data generated from this survey is not intended to be used as an overall estimate of the level of health service delivery.

Africa Onchocerciasis Environmental Suitability Geospatial Estimates File icon

Estimates were produced for environmental suitability of onchocerciasis presence at the 5x5 km-level in endemic countries across Africa. These estimates were produced using a boosted regression tree (BRT) analysis trained on reported onchocerciasis presence data from endemicity mapping surveys, surveillance during elimination programs, and other sources. The model was trained using data from 1974–2015; final estimates were produced using covariate values for 2013.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of environmental suitability for onchocerciasis presence.
  • Code files used to generate the estimates.

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.

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

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.

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