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SARS-CoV-2 Daily and Cumulative Infection Estimates 2019-2021 File icon

This dataset contains estimates of daily and cumulative infections with SARS-CoV-2 from the beginning of the pandemic through November 14, 2021, as well as estimates of cumulative COVID-19 deaths (adjusted for under-reporting) and estimates of the infection-detection ratio, infection-hospitalization ratio, and infection-fatality ratio. These are made available by day for 190 countries and territories – and subnational locations in 10 of those countries – aggregated into 21 regions and 7 super-regions and globally. Methods and limitations for the underlying models can be found in detail in the publication.

COVID-19 Gender Equality Impact Estimates 2020-2021 File icon

As part of an analysis on the effects of the COVID-19 pandemic on gender equality, researchers at IHME reviewed publicly available datasets with information related to: vaccine hesitancy and uptake; healthcare services; economic and work-related concerns; education; and safety at home and in the community. Estimates of the prevalence of impacts of the COVID-19 pandemic on the domains listed above were produced by gender and world region using data from 13 sources with sex- or gender- disaggregated data. One additional gender-invariant source was used in estimating vaccine uptake. This dataset provides the generated estimates by gender and seven world regions (North Africa and Middle East; Sub-Saharan Africa; Central Europe, Eastern Europe, and Central Asia; High-income; South Asia; Latin America and Caribbean; and Southeast Asia, East Asia, and Oceania). This dataset also provides estimates by month (March 2020 – September 2021), when available.

COVID-19 Excess Mortality Estimates 2020-2021 File icon

This dataset contains estimates of excess mortality from the COVID-19 pandemic for global populations during the period of January 1, 2020 – December 31, 2021. Excess mortality is defined as the net difference between the number of deaths during the pandemic (measured by observed or estimated all-cause mortality) and the number of deaths that would be expected based on past trends in all-cause mortality. The dataset also includes reported COVID-19 deaths (or deaths attributable to the virus), the reported COVID-19 mortality rate and the ratio between excess mortality rate and reported COVID-19 mortality rate for the same time period. The ratio of excess mortality rate to reported COVID-19 mortality is a measurement of undercounting of the true mortality impact of the pandemic. Methods and limitations for the model for estimating excess mortality can be found in detail in the publication.

Pre-Vaccine Era COVID-19 Infection Fatality Ratio Estimates by Age, Time, and Location 2020-2021 File icon

This dataset contains estimates of the COVID-19 infection-fatality ratio (IFR) for global populations during the period April 15, 2020 to January 1, 2021. IFR is defined as the probability of an individual dying from COVID-19 once infected with the SARS-CoV-2 virus. In these files, IFR is expressed as a percent: deaths divided by infections multiplied by 100. Location-specific estimates include 190 countries and territories, as well as subnational locations in 11 countries and territories. Specific time points for each location include April 15, 2020; July 15, 2020; October 15, 2020; and January 1, 2021. The age-specific IFR estimates are time-invariant and pool data from all locations with age-stratified data; only data from prior to vaccine introduction in each location was used for the age-specific estimates. The analytic process that produced these estimates accounted for several known biases, such as under-reporting of COVID-19 deaths and the waning sensitivity of SARS-CoV-2 antibody tests.

COVID-19 Pandemic Preparedness - Infection Rate and Infection Fatality Ratio Estimates 2020-2021 File icon

This dataset contains national-level estimates of unadjusted and adjusted COVID-19 infections per capita and infection fatality ratio (IFR) between January 1, 2020 and September 30, 2021 for 177 countries. Cumulative COVID-19 infections per 1,000 population include both unadjusted estimates and estimates standardized for environmental seasonality (measured as the relative risk of pneumonia), population density, gross domestic product (GDP) per capita, proportion of the population living below 100 m, and a proxy for previous exposure to other betacoronaviruses. IFR per 1,000 infections include both unadjusted estimated and estimates standardized for the age distribution of the population, mean body-mass index (BMI), exposure to air pollution, smoking rates, the proxy for previous exposure to other betacoronaviruses, population density, age-standardized prevalence of chronic obstructive pulmonary disease and cancer, and GDP per capita.

HPV Vaccination Cost Effectiveness Estimates File icon

This dataset contains estimates on the cost-effectiveness of HPV vaccination in 195 countries. The probability that HPV vaccination was cost-saving in each country was predicted using a logistic regression model, and is reported by incremental cost-effectiveness ratio (ICER). Data used to produce the estimates came from 638 ICERs reported in 76 studies from the Tufts University’s Cost-Effectiveness Analysis (CEA) Registry and the Global Health CEA Registry.

Tuberculosis Household Risk Exposure Estimates 2019 File icon

This dataset contains estimates for the number of persons with exposure to household incident pulmonary tuberculosis (TB) for 20 high-incidence TB countries in 2019 (as determined by Global Burden of Disease (GBD) Study 2019 estimates). Estimates were produced using pulmonary TB incidence from the GBD 2019 and location-specific household structure data from Demographic Health Surveys (DHS) and Integrated Public Use Microdata Series (IPUMs). Estimates include mean and 95% uncertainty intervals for both sexes disaggregated by age groups.

These estimates inform a paper published in EclinicalMedicine in November 2021 titled “Estimating the population at high risk for tuberculosis through household exposure in high-incidence countries: a model-based analysis.”

Ipsos 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.

The IPSOS General Population COVID-19 Health Services Disruption Survey 2020 was conducted by IPSOS via telephone and online surveys in 14 countries. Respondents were individual members of the general population. Data were collected from 15,258 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.

This 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 are not intended to be used as an overall estimate of the level of health service delivery.

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 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 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 21 Global Burden of Disease Study (GBD) regions and 7 super-regions 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 471 million individual records or isolates and 7,585 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.

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.

Japan Provisional Cases of Notifiable Diseases by Prefecture 2021

The Infectious Disease Weekly Report (IDWR) tabulations Notifiable Diseases provides the number of cases of notifiable diseases reported in Japan during 2021. Case totals are provided for the country 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.

Japan Provisional Cases of Notifiable Diseases by Prefecture 2020

The Infectious Disease Weekly Report (IDWR) tabulations Notifiable Diseases provides the number of cases of notifiable diseases reported in Japan during 2020. Case totals are provided for the country 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.

Saint Vincent and the Grenadines Population and Vital Statistics Report 2018

The Saint Vincent and the Grenadines Population and Vital Statistics Report 2018 presents figures on population, live births, stillbirths, registered deaths, underlying cause of death, marriages, and divorces.

Data presented have been collected by the country's Registry Department and have been calculated by its Statistical Office. Figures on population totals come from the decennial Population and Housing Census.

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.

Guinea-Bissau Multiple Indicator Cluster Survey 2018-2019

The Guinea-Bissau Multiple Cluster Indicator Survey 2018-2019 is part of MICS6, an international survey initiative to monitor the situation of children and women. Interviews include: 7,379 households; 10,945 women ages 15-49 years; 7,484 mothers/caregivers of children under five; 5,836 mothers/caregivers of children ages 5-17; and 2,805 men. Households were also tested for water quality (1,828).

MICS used a two-stage stratified sampling method. The sampling base was based on the 2009 General Population and Housing Census (RGPH). Primary sampling units selected in the first stage were the enumeration zones (Districts of the Census) of the Census. A list of households has been drawn up in each Primary Unit of the sample and a sample of Households was selected in the second stage (Secondary Units).

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

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Saint Vincent and the Grenadines Population and Vital Statistics Report 2017

The Saint Vincent and the Grenadines Population and Vital Statistics Report 2017 presents figures on population, live births, stillbirths, registered deaths, underlying cause of death, marriages, and divorces.

Data presented have been collected by the country's Registry Department and have been calculated by its Statistical Office. Figures on population totals come from the decennial Population and Housing Census.

Saint Vincent and the Grenadines Population and Vital Statistics Report 2016

The Saint Vincent and the Grenadines Population and Vital Statistics Report 2016 presents figures on population, live births, stillbirths, registered deaths, underlying cause of death, marriages, and divorces.

Data presented have been collected by the country's Registry Department and have been calculated by its Statistical Office. Figures on population totals come from the decennial Population and Housing Census.

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
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