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Global Mortality from 33 Bacterial Pathogens Estimates 2019 File icon

Researchers at IHME and the University of Oxford produced estimates of deaths and years of life lost (YLLs) associated with bacterial infections caused by 33 pathogens across 204 locations in 2019. This study extends the results of the 2019 Global Burden of AMR study and uses its overall methodological approach to provide more granular estimates. A variety of data were gathered to inform these estimates, including multiple cause of death data, hospital discharges, minimally invasive tissue sampling, systematic literature reviews, and microbiology lab results from hospitals and national and multi-national surveillance systems, with a total of 343 million individual records or isolates and 11,361 study-location-years collected. These data informed 6 modelling components which were then combined with results from GBD 2019 to estimate the burden of AMR.

Global Burden of Disease Study 2019 (GBD 2019) Contraceptive Prevalence Estimates 1970-2019 File icon

Annual estimates of contraceptive use and need for family planning were produced for 204 countries and territories from 1970–2019. Data used came from cross-sectional surveys that sampled women ages 15-49 in which respondents self-reported contraceptive use. This dataset includes annual estimates by location, age group, and marital status for any and modern contraceptive prevalence, unmet need for any contraception, and demand satisfied with modern methods. Additionally, prevalence was estimated for 15 contraceptive methods. If a women reported using more than one method, only the most effective method was counted. Due to small sample sizes of partnered and unpartnered women in some locations, only all age and age-standardized estimates (ages 15-49) are provided with marital breakdowns.

United States Health Care Spending Effectiveness 1996-2016 File icon

Health care spending effectiveness is the ratio of an increase in spending per case of illness or injury to an increase in disability-adjusted life-years (DALYs) averted per case. This dataset contains health care spending effectiveness ratios in the United States from 1996 to 2016. The ratios were created using comprehensive estimates of health care spending from the Disease Expenditure Study (DEX) and DALYs from the 2017 Global Burden of Disease study (GBD). Changes were decomposed over time to estimate spending per case and DALYs averted per case, while controlling for changes in population size, age-sex structure, and incidence or prevalence of cases.

United States Mortality Rates and Life Expectancy by State, Race, and Ethnicity 1990-2019 File icon

Estimates were produced for mortality rates, life expectancy, and population at the state level in the United States, and by racial/ethnic group, for each year between 1990-2019. These estimates were produced using population and deaths data from the National Center for Health Statistics.

This dataset includes the following:

  • CSV files of state-, and national-level estimates of mortality rates and life expectancy for each age group, sex, year, and racial-ethnic group (non-Hispanic White, non-Hispanic Black, Hispanic, and non-Hispanic, Other). Blank cells are for masked estimates
  • Code used to generate the estimates

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

Estimates were produced for mortality rates and life expectancy at the county level in the United States, and by racial/ethnic group, for each year between 2000-2019. These estimates were produced using population and deaths data from the National Center for Health Statistics.

This dataset includes the following:

  • CSV files of county-, state-, and national-level estimates of mortality rates and life expectancy for each age group, sex, year, and racial-ethnic group (all of which are non-Latino, except for the Latino group): White, Black, American Indian and Alaska Native (AIAN), Asian and Pacific Islander (API), and Latino. Blank cells are for masked estimates
  • Code used to generate the estimates

Development Assistance for Human Resources for Health 1990-2020 File icon

These development assistance for human resources for health (DAHRH) estimates are generated using data from IHME’s Development Assistance for health Database DAH, COVID development assistance database and the Organization for Economic Cooperation and Development’s Creditor Reporting System (CRS) online database. The IHME databases enables comprehensive analysis of donor funding aimed towards activities that support the health workforce in low- and middle-income countries from key agencies. The DAHRH estimates are disaggregated by source of funds, channel (disbursing agency) of funding, geographic region (Global Burden of Disease Study (GBD) super region), and the type of human resources for health activities supported (program areas).

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.

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.

Estonia Health Behavior Among the Adult Population Survey 2020

The study Health Behavior among Estonian Adult Population has been conducted every two years since 1990. A sample of 5,000 Estonian residents ages 16-64 years were selected from the Population Register and were sent a survey questionnaire through the mail. Additionally, county samples were included (n=7400) to analyze health indicators for the 15 counties and two largest city divisions in Estonia.

The questionnaire collected information on the participants' health status, use of health services and medications, physical activity, smoking and alcohol use, dietary habits, and demographic information. 

Global Dementia Care Spending and Future Spending Scenarios 2000-2050 File icon

This dataset contains retrospective estimates for healthcare spending attributable to dementia for 195 countries from 2000 to 2019 and prospective spending estimates from 2020 to 2050 under multiple scenarios. Intermediate and final estimates are provided. Intermediate estimates include community based care rate (CBC), nursing home based care rate (NHBC), community based care unit cost, and nursing home based care unit cost. Final estimates are attributable dementia spending. All spending is reported in 2019 United States dollars. Future estimates report the same model outputs as those reported in the retrospective model but include both reference and alternative scenarios based on accelerated care setting rates and units costs.

Japan National Health and Nutrition Survey 2019

The 2019 survey was conducted in November, and collected data on health status, physical activity, nutrition, and food intake of the Japanese population. For this year, data on health disparities was a focus of the survey.

Before 2003, the National Health and Nutrition Survey was known as the National Nutrition Survey.

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) 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.

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.

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.

Africa and Yemen Onchocerciasis Prevalence Geospatial Estimates 2000-2018 File icon

Estimates were produced for onchocerciasis all-age microfiladermia (positive skin snip) prevalence at the 5x5 km-level in 34 endemic countries across Africa, plus Yemen, annually between 2000 and 2018. These estimates were produced using reported data on onchocerciasis prevalence from endemicity mapping surveys, surveillance during elimination programs, and other sources.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of onchocerciasis prevalence
  • CSV files of aggregated estimates of onchocerciasis prevalence for each country at the national level, and for first and second administrative divisions
  • Code files used to generate the estimates

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.

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