Global Health Data Exchange - Discover the World's Health Data

Recently Added Records

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

Completed as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, this dataset provides estimates of anemia prevalence and years lived with disability by 37 underlying causes, three severity levels, age, and sex for 204 countries and territories and selected subnational geographies in five year increments from 1990 to 2021. Please refer to the related publication for information on modeling methods and analysis.

Get Data Files

WHO Americas Region Bacterial Antimicrobial Resistance Burden Estimates 2019 File icon

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

Nigeria DTP Vaccine Coverage Estimates 2000-2018 File icon

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

This dataset includes the following:

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

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

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

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

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

This dataset includes the following:

  • CSV files of county-, state-, and national-level estimates of stomach cancer mortality rates for each age group, sex, year, and racial-ethnic group (non-Hispanic White [White], non-Hispanic Black [Black], non-Hispanic Asian or Pacific Islander [Asian], non-Hispanic American Indian Alaska Native [AIAN], and Hispanic or Latino [Latino]). Blank cells are for masked estimates
  • Code used to generate the estimates

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

Mortality rate estimates were produced at the county level in the United States, for 19 causes of death and by racial/ethnic group, for each year between 2000-2019. These estimates were generated using population and deaths data from the National Center for Health Statistics.

This dataset includes the following:

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

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

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

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

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

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

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

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

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

Global Expected Health Spending 2020-2050 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2020-2050 for 204 countries and territories. The estimates cover total health spending, health spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and prepaid private), and development assistance for health (DAH). Retrospective health spending estimates for 1995-2019 and key covariates (including GDP per capita, total government spending, total fertility rate, and fraction of the population older than 65 years) were used to forecast GDP and health spending through 2050. Estimates are reported in constant 2021 US dollars, constant 20201purchasing-power parity-adjusted (PPP) dollars, and as a percent of gross domestic product.

Global Health Spending 1995-2019 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective health spending estimates for 1995-2019 for 204 countries and territories. The estimates cover total health spending, health spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and prepaid private), and development assistance for health (DAH). Domestic health spending source data came primarily from the WHO’s Global Health Expenditure Database (GHED). DAH data came from a diverse set of sources, including program reports, budget data, national estimates, and National Health Accounts (NHAs). The resulting estimates were used to forecast GDP and prospective health spending estimates for 2020-2050. Estimates are reported in constant 2021 United States Dollars, constant 2021 purchasing power parity adjusted (PPP) dollars, and as a percent of gross domestic product.

Development Assistance for Health Database 1990-2021 File icon

This version of the Development Assistance for Health (DAH) Database includes estimates for 1990-2021, which are based on project databases, financial statements, annual reports, IRS 990s, and correspondence with agencies. The DAH Database enables comprehensive analysis of trends in international disbursements of grants and loans for health projects in low- and middle-income countries from key agencies. The data are disaggregated by source of funds, channel of funding, country and geographic region, health focus areas, and program areas.
To better understand the data and how to use it, please refer to the IHME DAH Database 2021 User Guide.

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

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

Development Assistance for Health on COVID-19 2020-2021 File icon

Development Assistance for Health (DAH) on COVID-19 produced estimates for 2020-2021, which are based on project databases, financial statements, annual reports, IRS 990s, and correspondence with agencies. The DAH Database enables comprehensive analysis of trends in international disbursements of grants and loans for COVID-19-related health projects in low- and middle-income countries from key agencies. The data are disaggregated by source of funds, channel of funding, country and geographic region, and program areas.

Nigeria Malaria Indicator Survey 2021

The Nigeria Malaria Indicator Survey (MIS) 2021 is part of phase 8 of the Demographic and Health Survey series. The survey was designed to provide information on the knowledge and practice of malaria prevention in Nigeria. Topics covered also include birth history, child mortality, and demographic characteristics. 

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.

Sub-Saharan Africa MenAfriVac Coverage Estimates 2010-2021 File icon

This dataset provides estimates of vaccination coverage for meningococcal serogroup A conjugate vaccine (MenAfriVac®) for 24 countries in the meningitis belt of sub-Saharan Africa between 2010 and 2021. Indicators include mean and 95% uncertainty intervals for the estimated coverage for children aged 1 to 5 and children and young adults aged 1 to 29. These estimates include coverage from both mass vaccination campaigns and routine immunization delivery. The estimation process primarily utilized survey report data and country-reported administrative vaccine coverage data.

Saint Vincent and the Grenadines Population and Vital Statistics Report 2021

The Saint Vincent and the Grenadines Population and Vital Statistics Report 2021 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.

Global Burden of Disease (GBD) Cardiovascular Burden Estimates 1990 and 2021 File icon

This dataset includes total cardiovascular disease burden estimates globally for multiple cardiovascular diseases for 7 Global Burden of Disease Study (GBD) super regions, 21 GBD regions, 204 countries and territories, and select subnational locations. The following are reported: mortality by age and sex for the years 1990 and 2021; age-standardized mortality in 2021 by Socio-Demographic Index (SDI), a composite indicator of fertility, income, and education; all ages and age-standardized prevalence for 2021; and age-standardized disability-adjusted life years (DALYs) for 2021. The dataset also includes burden attributable to selected risk factors for each GBD region in 2021, as measured by DALYs. These data are custom calculated for publication in the Journal of the American College of Cardiology and will not be available in the GBD 2021 Results Tool.

United States Behavioral Risk Factor Surveillance System 2021

The Behavioral Risk Factor Surveillance System (BRFSS) is a system of telephone surveys that collect data about US residents regarding health-related risk behaviors, chronic health conditions, and use of preventive services. The CDC started the BRFSS in 1984 in 15 states. BRFSS now collects data in all states as well as some territories (Puerto Rico, Virgin Islands and Guam). The questions vary over the years but generally included the following topics: high blood pressure, alcohol and tobacco consumption, diet, exercise, home safety, seat belt use, health care use, screening for colorectal and breast cancers, and sexual behaviors. The focus is on actual behaviors, rather than knowledge or attitudes. BRFSS conducts over 400,000 interviews every year.

United States Behavioral Risk Factor Surveillance System 2020

The Behavioral Risk Factor Surveillance System (BRFSS) is a system of telephone surveys that collect data about US residents regarding health-related risk behaviors, chronic health conditions, and use of preventive services. The CDC started the BRFSS in 1984 in 15 states. BRFSS now collects data in all states as well as some territories (Puerto Rico, Virgin Islands and Guam). The questions vary over the years but generally included the following topics: high blood pressure, alcohol and tobacco consumption, diet, exercise, home safety, seat belt use, health care use, screening for colorectal and breast cancers, and sexual behaviors. The focus is on actual behaviors, rather than knowledge or attitudes. BRFSS conducts over 400,000 interviews every year.

Mali Malaria Indicator Survey 2021

The Mali Malaria Indicator Survey (MIS) 2021 provides information on the knowledge and practice of malaria prevention in Mali. The Mali MIS 2021 is part of phase 8 of the Demographic and Health Survey series (DHS). For the 2021 Mali MIS, 10,765 women ages 15-49 from 5,627 households were successfully interviewed. Additionally, blood tests for the presence of anemia and malaria were conducted for children under 5.

Saint Vincent and the Grenadines Population and Vital Statistics Report 2020

The Saint Vincent and the Grenadines Population and Vital Statistics Report 2020 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 2019

The Saint Vincent and the Grenadines Population and Vital Statistics Report 2019 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.

South Korea National Health and Nutrition Examination Survey 2020

The Korea National Health and Nutrition Examination Survey (KNHANES) was a nationwide survey examining the general health and nutrition status of the Korean people.

The KNHANES consists of four different surveys: a health interview survey, a health behavior survey, a health examination survey, and a nutrition survey.

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.

Argentina Vital Statistics 2020

Part of the National Program of Health Statistics' Series 5 on Vital Statistics, issue no. 64 contains tabulated data on registered births, deaths, fetal deaths, and marriages.

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.

Healthcare Access and Quality Index by Age 1990-2016 File icon

Researchers at IHME produced estimates for age-specific Healthcare Access and Quality (HAQ) indices for ten year intervals from 1990-2016. The US national age-specific HAQ scores were compared with high-income peers (Canada, Western Europe, High-Income Asia Pacific countries, and Australasia) in 1990, 2000, 2010, and 2016. Scores among US states were also analyzed for 2010 and 2016. The public use microdata sample of the American Community Survey was used to estimate insurance coverage and the median income per person by age and state.

Pakistan - Khyber Pakhtunkhwa Multiple Indicator Cluster Survey 2019

The Bureau of Statistics (BoS) conducted this Multiple Indicator Cluster Survey (MICS) with a sample size of 23,740 households in 32 districts of KP (including seven newly merged districts) from 1,187 sampled clusters. This MICS collected data on more than 170 indicators (including 33 SDG indicators), covered in 51 modules. Data was collected on six questionnaires including, Household, Women, Men, Children under-five, Children 5-17 and water quality testing.

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. 

South Korea National Health and Nutrition Examination Survey 2019

The Korea National Health and Nutrition Examination Survey (KNHANES) was a nationwide survey examining the general health and nutrition status of the Korean people.

The KNHANES consists of four different surveys: a health interview survey, a health behavior survey, a health examination survey, and a nutrition survey.

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.

Pakistan - Sindh Multiple Indicator Cluster Survey 2018-2019

The sample for the Sindh MICS 2018-19 was designed to provide estimates for a large number of indicators on the situation of children and women at the Sindh level, for urban and rural areas, and for all 29 districts of Sindh. In addition to the administration of questionnaires, fieldwork teams tested the salt used for cooking in the households for iodine content, observed the place for handwashing, measured the weights and heights of children age under 5 years, and tested household and source water for E. coli levels. Sindh MICS 2018-19 had a sample size of 20,540 households with a 99% response rate.

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.

GHDx: Recent Subscribe