IHME Data

This 2014 update of the Development Assistance for Health (DAH) Database includes estimates for 1990-2014, 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 developing countries from key agencies. The data are disaggregated by funding agency, country and geographic region, and health focus area.

To understand the framework used to track DAH, users of the DAH Database 1990-2014 should review IHME's Financing Global Health 2014 policy report and methods annex.

An updated version of the database with DAH estimates through 2015 is now available.

IHME research produced alcohol use prevalence estimates (including estimates for any drinking, heavy drinking, and binge drinking) by county, year, and sex for 2002-2012. The data also include changes by percent for the period. The estimates were produced by applying small area models to data from the Behavioral Risk Factor Surveillance System (BRFSS). This dataset contains estimates for all states and counties, the District of Columbia, and the US as a whole, along with data on the 10 counties with the highest and lowest rates of any, heavy, and binge drinking by sex. Study results were published in the American Journal of Public Health in April 2015 in "Drinking patterns in US counties from 2002 to 2012."

The 2012 update of the Development Assistance for Health (DAH) database enables analysis of trends in disbursements on grants/loans from key agencies by funding agency, country/geographic region, and health focus area.

These DAH totals do not match those in the IHME DAH 1990-2010 database. This database only contains DAH allocable by country and/or region and does not contain DAH that could not be traced to a specific region or country.

The 1990-2008 database is available here, and the 1990-2009 database is available here.

This December 2011 updated database includes US-based non-governmental organizations' (NGOs) financial data from USAID VolAg report years 1992-2010 (covers fiscal years 1990-2008) with unique ID codes added. The VolAg reports can be found on the USAID website.

The 1990-2007 database is available here.

The December 2011 update of the Development Assistance for Health (DAH) database enables analysis of trends in disbursements on grants/loans from key agencies by funding agency, country/geographic region, and health focus area.

These DAH totals do not match those in the IHME DAH 1990-2009 database. This database only contains DAH allocable by country/region.

The 1990-2008 database is available here.

This database includes Development Assistance for Health (DAH) project databases that enable analysis of trends in disbursements on grants and loans from key agencies by funding agency, country/geographic region, and health focus area.

Note: The DAH totals in this database do not match up with those in the IHME Development Assistance for Health Database 1990-2008 because this database only contains DAH allocable by country and/or region and does not contain DAH that could not be traced to a specific region or country.

2011 update available here.

This database includes development assistance for health (DAH) estimates based on data project databases, financial statements, annual reports, IRS 990s, and correspondences with agencies.

It enables estimation of the DAH envelope (disbursements and expenditures), trends in by global health institutions, and trends in DAH by source of income.

Graphing and additional use information are available in the "IHME_DAH_DATABASE_1990_2008_CODE.txt" file.

2011 update available here.

This survey was conducted as part of the Gavi Full Country Evaluation (FCE) project in Uganda. Gavi FCEs are prospective studies covering the period 2013-2016 that aim to assess the barriers to and drivers of immunization program performance. The Uganda FCE Household Survey was conducted in 19 districts purposely selected to overlap with districts where the FCE Health Facility Survey was conducted in 2014-2015. The initial sample size for the household survey was 3,990 households. Data were collected from heads of households and mothers and/or primary caregivers of children ages 0-59 months. Topics covered include household characteristics, immunization knowledge, birth histories of mothers and child caretakers, pregnancy and postnatal care, child feeding practices, current health and vaccine status of the child, and vaccination experience at health facilities. In a sub-sample of children, a small amount of blood was collected in order to measure vaccine presence.

IHME research produced estimates for age-standardized mortality rates by county from chronic respiratory diseases. The estimates were generated using de-identified death records from the National Center for Health Statistics (NCHS); population counts from the U.S. Census Bureau, NCHS, and the Human Mortality Database; the cause list from the Global Burden of Disease Study (GBD); and the application of small area estimation models. This dataset provides estimates for age-standardized mortality rates by disease type and sex at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014, as well as the changes in rates for each location during this period. Also included are data on the 10 counties with the highest and lowest mortality rates for each disease type in 2014. Study results were published in JAMA in September 2017 in "Trends and patterns of differences in chronic respiratory disease mortality among US counties, 1980–2014."

This survey was conducted as part of the Gavi Full Country Evaluation (FCE) project in Bangladesh. Gavi FCEs are prospective studies covering the period 2013-2016 that aim to assess the barriers to and drivers of immunization program performance. The Bangladesh FCE focused on selected locations stratified by urban/rural and low/high immunization coverage performance areas. It was conducted in one rural district and one city corporation each in the divisions of Sylhet and Rajshahi. This survey collected information from patient exit interviews conducted with caregivers of children 9 months to 15 years of age immediately following their measles-rubella vaccination. Topics covered include sociodemographic characteristics of the caretaker; patient experiences at the facility; patient opinions of the experience; and knowledge, attitudes and practice regarding measles and rubella immunizations, as well as knowledge of measles and rubella symptoms, prevention, and treatment.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

As part of this study, estimates for obesity and overweight prevalence and the disease burden attributable to high body mass index (BMI) were produced by sex, age group, and year for 195 countries and territories. Estimates for high BMI-attributable deaths, DALYs, and other measures (1990-2015) are available from the GBD Results Tool. Files available in this record include obesity and overweight prevalence estimates for 1980-2015. Study results were published in The New England Journal of Medicine in June 2017 in "Health Effects of Overweight and Obesity in 195 Countries over 25 Years."

Global Burden of Disease Study 2015 (GBD 2015) estimates were used in an analysis of national levels of personal healthcare access and quality based on 32 causes of disease and injury considered amenable to healthcare over time. This dataset includes the following global, regional, and national or territory-level estimates for 1990-2015: age-standardized risk-standardized death rates for 32 causes considered amenable to healthcare; the Healthcare Quality and Access (HAQ) Index and individual indices for each of the 32 causes on a scale of 0 to 100; and a frontier based on the relationship between the HAQ Index and the Socio-demographic Index (SDI).

Results were published in The Lancet in May 2017 in "Healthcare Access and Quality Index based on mortality from causes amenable to personal healthcare in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015."

Research by IHME used small area estimation methods to produce annual life tables and calculate age-specific mortality risk at the county level for the United States. De-identified death records from the National Center for Health Statistics (NCHS) and population counts from the census bureau, NCHS, and the Human Mortality Database were used in the analysis. This dataset provides estimates for life expectancy at birth and mortality risk for under-5 and 20-year age groups at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014, as well as the changes in life expectancy and mortality risk for each location during this period. Also included are data on the 30 counties with the highest and lowest life expectancy and mortality risks. Results of the study were published in JAMA in May 2017 in "Inequalities in life expectancy among US counties, 1980–2014."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. These location hierarchies files contain the GBD 2015 reporting hierarchy and a number of other hierarchies, which will allow GBD 2015 results users to aggregate results by location in various ways (by GBD regions, World Bank regions, OECD countries, European Union countries, etc.).

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

As part of this study, the health burden associated with systolic blood pressure (SBP) ≥ 110-115 mm HG and SBP ≥ 140 mm HG (hypertension) was analyzed. Estimates for deaths, YLLs, YLDs, and DALYs attributable to SBP ≥ 110-115 mm HG (high systolic blood pressure) by age and sex for 21 regions, 195 countries and territories and select subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available in this record include deaths and DALYs attributable to hypertension and the web tables published in JAMA in January 2017 in "Global Burden of Hypertension and Systolic Blood Pressure of at least 110 to 115 mm HG, 1990-2015."

IHME research applied a novel methodology to death registration data from the National Vital Statistics System (NVSS) in order to estimate annual county-level mortality rates for 21 mutually exclusive causes of death. This dataset provides estimates for cause-specific age-standardized mortality rates at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014 (quinquennial), as well as the changes in rates during this period. Also included are data on the 10 counties with the highest and lowest mortality rates for each cause in 2014. Study results were published in JAMA in December 2016 in "US county-level trends in mortality rates for major causes of death, 1980–2014."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

This reference life table is used in GBD to calculate Years of Life Lost (YLLs). It was constructed based on the lowest estimated age-specific mortality rates from all locations with populations over 5 million in the 2013 iteration of GBD. YLLs are computed by multiplying the number of estimated deaths by the reference life table’s life expectancy at age of death. The table includes estimates for the probability of death within an age range, the proportion of the hypothetical cohort still alive at age x, and life expectancy at age x for ages 0 to 110+ at five-year intervals.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

Developed by GBD researchers and used to help produce these estimates, the Socio-demographic Index (SDI) is a summary measure of a geography's socio-demographic development. It is based on average income per person, educational attainment, and total fertility rate (TFR). SDI contains an interpretable scale: zero represents the lowest income per capita, lowest educational attainment, and highest TFR observed across all GBD geographies from 1980 to 2015, and one represents the highest income per capita, highest educational attainment, and lowest TFR. This dataset provides tables with SDI values for all estimated GBD 2015 geographies for 1980–2015 and groupings by geography based on 2015 values.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

Disability weights, which represent the magnitude of health loss associated with specific health outcomes, are used to calculate years lived with disability for these outcomes in a given population. The weights are measured on a scale from 0 to 1, where 0 equals a state of full health and 1 equals death. This dataset provides the disability weights for the 235 unique health states used to estimate nonfatal health outcomes for the GBD 2015 study. These data were published in The Lancet in October 2016 in "Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 195 countries and territories. Estimates for HIV/AIDS incidence, prevalence, and mortality by country, age, and sex for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available for download in this record include select tables published in The Lancet in July 2016 in "Global, regional, and national incidence, prevalence, and mortality for HIV, 1980-2015: estimates from the Global Burden of Disease Study 2015." The tables include estimates of antiretroviral therapy (ART) coverage for 2015 and HIV-specific mortality for patients on ART.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

This dataset measures progress towards the Millennium Development Goal 4 (MDG 4) target of reduction of child mortality by two-thirds from 1990-2015. Estimates for neonatal, infant, and under-5 mortality for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available in this record include tables published The Lancet in October 2016 in "Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980‐2015: a systematic analysis for the Global Burden of Disease Study 2015."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

Estimates for disability-adjusted life years (DALYs) by cause, age, and sex and estimates for healthy life expectancy (HALE) by age and sex for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Study results were published in The Lancet in October 2016 in "Global, regional, and national disability-adjusted life years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

Life expectancy estimates by age and sex and estimates for deaths and years of life lost (YLLs) by cause, age, and sex for 21 regions, 195 countries and territories, and select subnational units for 1990-2015 are available from the GBD Results Tool. Files available in this record include select tables published in The Lancet in October 2016 in "Global, regional, and national life expectancy, all-cause and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015."

These data were collected as part of the Improving Methods to Measure Comparable Mortality by Cause project, funded by Australia's National Health and Medical Research Council (NHMRC). Verbal autopsy (VA) interviews were collected using the Population Health Metrics Research Consortium (PHMRC) shortened questionnaire on electronic tablets. Data was was collected from three sites: Matlab, Bangladesh; Kalutara, Sri Lanka; and Bohol, Philippines. The datasets correspond to the closed response and open response sections for each of the three sites.