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Nepal Demographic and Health Survey 2016-2017

The Nepal Demographic and Health Survey 2016-2017 is part of phase 7 of the Demographic and Health Survey (DHS) series, a nationally representative household survey series. Topics commonly covered in DHS include: child and maternal health, family planning, nutrition, health behaviors, health care access, health care use, and immunization. For the 2016-2017 Nepal DHS, 12,862 women and 4,063 men age 15-49 were successfully interviewed from 11,040 households. In addition to demographic and health questions, anthropometric measurements were taken for men, women and children under 5, blood tests were conducted for the presence of anemia in women and children ages 6-59 months, and blood pressure measurements were taken for men and women.

Colombia Great Integrated Household Survey 2009

The Great Integrated Household Survey (GEIH) started in 2006, replacing the Continuous Household Survey and integrating modules from the Quality of Life Survey. Data collection occured throughout the year. Individual questionnaires for each quarter covered core topics of housing, household demographics, income, and employment. Other topics covered in 2009 were fertility, mass media, rice consumption, child labor, access to justice, rural employment, and perceptions of various services.

The survey covered 24 major cities and rural areas. The survey did not cover old national territories (the departments of Amazonas, Arauca, Casanare, Guainía, Guaviare, Putumayo, Vaupés, and Vichada), which are equivalent to approximately 4% of the population.

United Nations Demographic Yearbook 2013

The Demographic Yearbook is a collection of national demographic statistics, provided by national statistical authorities to the Statistics Division of the United Nations Department of Economic and Social Affairs. The tables in the Demographic Yearbook feature select demographic indicators, including size, distribution and trends in national populations, natality, fetal mortality, infant and maternal mortality, general mortality, nuptiality, and divorce. Data are shown by urban/rural residence, as available.

United Nations Demographic Yearbook 2014

The Demographic Yearbook is a collection of national demographic statistics, provided by national statistical authorities to the Statistics Division of the United Nations Department of Economic and Social Affairs. The tables in the Demographic Yearbook feature select demographic indicators, including size, distribution and trends in national populations, natality, fetal mortality, infant and maternal mortality, general mortality, nuptiality, and divorce. Data are shown by urban/rural residence, as available.

Global Burden of Disease Study 2017 (GBD 2017) Cause, REI, and Location Hierarchies File icon

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

This set of files contain the following for GBD 2017: the cause hierarchy; the risk, impairment, etiology, and injury n-code (REI) hierarchy; and locations hierarchies. The GBD Locations Hierarchy file contains only GBD locations, including subnational locations for which results were released at the time of the study's publication. (Locations will be added as additional subnational results are released.) The All Locations Hierarchies file also includes hierarchies for other regions for which estimates were produced, such as WHO and World Bank regions. These files allow users to filter for sets of values by level or parent category, including cause or risk group, GBD super region or region, or custom region.

Global Burden of Disease Study 2017 (GBD 2017) Causes of Death and Nonfatal Causes Mapped to ICD Codes File icon

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries. These tables contain International Classification of Diseases (ICD) codes, for both ICD-9 and ICD-10, mapped to GBD 2017 causes of death and nonfatal causes.

Global Burden of Disease Study 2017 (GBD 2017) Disability Weights File icon

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

Disability weights, which represent the magnitude of health loss associated with specific health outcomes, are used to calculate years lived with disability (YLD) 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 disability weights for the 234 unique health states used to estimate nonfatal health outcomes for the GBD 2017 study. The data were published in The Lancet in November 2018 in "Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017."

Global Burden of Disease Study 2017 (GBD 2017) Life Tables 1950-2017 File icon

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

This dataset includes full and abridged life tables with estimates for life expectancy and probability of death by location, single calendar year, age, and sex for 1950-2017. Full life tables contain estimates by single year of age. Abridged life tables contain estimates by 5-year age group. Locations covered include both GBD locations and special regions such as World Bank Income Levels. Data used to produce these tables came from vital registration (VR) systems, sample registration systems, household surveys, censuses, disease surveillance, and demographic surveillance systems (DSS).

Download life table files

Global Burden of Disease Study 2017 (GBD 2017) Population and Fertility 1950-2017 File icon

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

Annual population estimates by single year of age and sex for 1950-2017 are available here. Annual age-specific fertility rate (ASFR) estimates by 5-year age groups in the 10-54 year range for 1950-2017 are available here. Available for download in this record, via the “Files” tab above, are select tables published in The Lancet in November 2018 in "Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease 2017.”

For additional GBD results and resources, visit the GBD 2017 Data Resources page.

Global Burden of Disease Study 2017 (GBD 2017) Disability-Adjusted Life Years and Healthy Life Expectancy 1990-2017 File icon

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

Estimates for disability-adjusted life years (DALYs) by cause, age, and sex for 359 causes and healthy life expectancy (HALE) by age and sex are available from the GBD Results Tool for 1990-2017. Select tables published in The Lancet in November 2018 in "Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017" are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2017 Data Resources page.

Global Burden of Disease Study 2017 (GBD 2017) Cause-Specific Mortality 1980-2017 File icon

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

Cause-specific mortality estimates for deaths and years of life lost (YLLs) are available from the GBD Results Tool. Estimates are available by age and sex for 282 causes for 1990-2017. Select tables published in The Lancet in November 2018 in "Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017" are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2017 Data Resources page.

Global Burden of Disease Study 2017 (GBD 2017) Incidence, Prevalence, and Years Lived with Disability 1990-2017 File icon

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

Estimates for incidence, prevalence, and years lived with disability (YLDs) are available from the GBD Results Tool. Estimates are available by age and sex for 354 causes for 1990-2017. Select tables published in The Lancet in November 2018 in "Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017" are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2017 Data Resources page.

Global Burden of Disease Study 2017 (GBD 2017) All-cause Mortality and Life Expectancy 1950-2017 File icon

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

Estimates of life expectancy and all-cause mortality, including under-5 mortality, are available from the GBD Results Tool. Estimates are available by age, sex, and location for 1990-2017. Select tables published in The Lancet in November 2018 in "Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017” are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2017 Data Resources page.

Global Burden of Disease Study 2017 (GBD 2017) Burden by Risk 1990-2017 File icon

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

Estimates for deaths, YLLs, YLDs, and DALYs attributable to 84 risk factors by age and sex as well as estimates for summary exposure values (SEVs) by risk are available from the GBD Results Tool for 1990-2017. Select tables published in The Lancet in November 2018 in "Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017" are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2017 Data Resources page.

Nepal In Depth Demographic and Health Survey 1987

This survey is part of the DHS-I In Depth series. The main purpose of the Nepal In Depth Demographic and Health Survey 1987 was to identify the range of reasons for non-use of contraceptives and family planning among married women between the ages of 15 and 49 in Nepal. The study used a household sample size of 4,709 and had a female sample size of 1,630. The study sample design is the same design used in the Nepal Fertility and Family Planning Survey (NFFS) of 1986. No HIV or GPS data was collected.

Global Tuberculosis Molecular Epidemiology Systematic Review Dataset File icon

IHME and collaborating researchers conducted a study to map the global distribution of genotypes of bacterial strains that cause tuberculosis disease and examine whether any epidemiologically relevant clinical characteristics were associated with those genotypes. They performed a systematic review to create a comprehensive dataset of human TB molecular epidemiology studies that used representative sampling techniques. Data were extracted and synthesized from 206 studies that reported prevalence of bacterial genotypes (representing over 200,000 bacterial isolates collected over 27 years in 85 countries) and from 34 studies that reported clinical characteristics associated with those genotypes. This dataset contains the following: a screening sheet detailing all studies reviewed; raw genotype distribution data extracted in the systematic review; raw genetic clustering data extracted; and sheets containing MTBC genotype conversions for all genotyping methods included in this study.

Global Human Capital Estimates 1990-2016 File icon

Human capital, widely recognized as the level of education and health in a population, is considered an important determinant of economic growth. IHME generated a measure of expected human capital, defined for each birth cohort as the expected years lived from 20 to 64 years of age adjusted for educational attainment, learning or education quality, and functional health status using period-age-and-sex-specific rates. Learning estimates are based on student performance on math, science, and reading assessments. Functional health status is comprised of the prevalence of seven conditions with proven links to productivity and learning.

This dataset includes estimates for the following five measures by age and sex for 195 countries from 1990-2016: expected human capital; average years of educational attainment, from 0-18 years; learning, the average standardized test score transformed to a 0 to 1 scale; health, transformed to a 0 to 1 scale; and survival, or expected years lived between ages 20-64.

Global Burden of Disease Study 2016 (GBD 2016) Alcohol Use Estimates 1990-2016 File icon

The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries.

As part of this study, estimates for alcohol use and the disease burden attributable to this risk factor were produced by sex, age group, and year for 195 countries and territories for 1990-2016. Estimates for alcohol-attributable deaths and disability-adjusted life-years (DALYs) are available from the GBD Results Tool. Files available in this record include estimates of the prevalence of current drinking, abstention, and the population average of standard drinks daily. Study results were published in The Lancet in August 2018 in "Alcohol use and burden: a systematic analysis from the Global Burden of Disease Study 2016 for 195 countries and territories, 1990–2016."

Africa Under-5 Diarrhea Incidence, Prevalence, and Mortality Geospatial Estimates 2000-2015 File icon

Estimates were produced for the prevalence and incidence of diarrhea and diarrhea-related mortality among children younger than 5 years of age at the 5x5 km-level in 52 countries in Africa between 2000-2015. These estimates were produced using data on diarrhea and geographical locations from censuses, several household survey series, including the Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS), and other country‐specific surveys.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of diarrhea prevalence, incidence of severe diarrheal episodes, diarrhea-related mortality, annualized rates of change for severe incidence and diarrheal mortality, and the probability that a unit will reach GAPPD goals for the reduction of incidence and mortality for given years
  • CSV files of aggregated estimates for each country at the first and second administrative divisions
  • Code files used to generate the estimates

WPRO Dengue Situation Update Number 532, 19 Dec 2017

WPRO Dengue Situation Update Number 532, 19 December 2017 provides the information on the total number of deaths due to dengue, and the number of reported cases of dengue in the Western Pacific region from 2012 through December 2017. Data are presented by country in graphs.

WPRO Dengue Situation Update Number 528, 24 Oct 2017

WPRO Dengue Situation Update Number 528, 24 October 2017 provides the information on the total number of deaths due to dengue, and the number of reported cases of dengue in the Western Pacific region from 2012 through October 2017. Data are presented by country in graphs.

WPRO Dengue Situation Update Number 530, 21 Nov 2017

WPRO Dengue Situation Update Number 530, 21 November 2017 provides the information on the total number of deaths due to dengue, and the number of reported cases of dengue in the Western Pacific region from 2012 through November 2017. Data are presented by country in graphs.

WPRO Dengue Situation Update Number 526, 26 Sep 2017

WPRO Dengue Situation Update Number 526, 26 September 2017 provides the information on the total number of deaths due to dengue, and the number of reported cases of dengue in the Western Pacific region from 2012 through September 2017. Data are presented by country in graphs.

Global Burden of Disease Study 2016 (GBD 2016) Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years 1990-2016 File icon

The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries.

Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs), prevalence, and incidence for 29 cancer groups by age and sex for 1990-2016 are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in June 2018 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 29 Cancer Groups, 1990 to 2016."

Global Burden of Disease Study 2016 (GBD 2016) Healthcare Access and Quality Index Based on Amenable Mortality 1990–2016 File icon

Global Burden of Disease Study 2016 (GBD 2016) estimates were used in an analysis of personal healthcare access and quality for 195 countries and territories, as well as selected subnational locations, over time. This dataset includes the following global, regional, national, and selected subnational estimates for 1990-2016: age-standardized risk-standardized death rates from 24 non-cancer causes considered amenable to healthcare; age-standardized mortality-to-incidence ratios for 8 cancers considered amenable to healthcare; and the Healthcare Access and Quality (HAQ) Index and individual scores for each of the 32 causes on a scale of 0 to 100. Code used to produce the estimates is also included.

Results were published in The Lancet in May 2018 in "Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016."

Global HIV/AIDS Spending 2000-2015 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network estimated HIV/AIDs spending for 188 countries for 2000-2015. The estimates cover HIV/AIDS spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. Spending is also disaggregated by function, including care and treatment, prevention, and other spending. HIV/AIDS spending by source and function was estimated based on a diverse set of data, including country reports, National AIDS Spending Assessments, and National Health Accounts. Development assistance for health data was sourced from budgets, project records, and financial statements. Results of the study were published in The Lancet in April 2018 in "Spending on health and HIV/AIDS: domestic health spending and development assistance in 188 countries, 1995-2015."

Global Expected Health Spending 2016-2040 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2016-2040 for 188 countries. The estimates cover total health spending, and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. GDP and all-sector government spending were extracted for 1980–2015 and used with retrospective health spending estimates for 1995-2015 to forecast GDP, all-sector government spending, and health spending through 2040. Results of the study were published in The Lancet in April 2018 in "Trends in future health financing and coverage: future health spending and universal health coverage in 188 countries, 2016–2040."

Global Health Spending 1995-2015 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective national health spending estimates for 1995-2015 for 188 countries. The estimates cover total health spending, and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. National health spending by source, including development assistance for health, was estimated based on a diverse set of data, including program reports, budget data, national estimates, and National Health Accounts. The resulting estimates were used to help produce prospective health spending estimates for 2016-2040. Results of the analysis were published in The Lancet in April 2018 in "Spending on health and HIV/AIDS: domestic health spending and development assistance in 188 countries, 1995-2015."

United States Substance Use Disorders and Intentional Injuries Mortality Rates by County 1980-2014 File icon

IHME research produced estimates for age-standardized mortality rates by county from alcohol use disorders, drug use disorders, self-harm, and interpersonal violence. 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 cause and sex at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014. Also included are changes in rates during this period and counties with the highest and lowest mortality rates for each cause in 2014. Study results were published in JAMA in March 2018 in "Trends and patterns of geographic variation in mortality from substance use disorders and intentional injuries among US counties, 1980–2014."

United States Infectious Disease Mortality Rates by County 1980-2014 File icon

IHME research produced estimates for age-standardized mortality rates by county from lower respiratory infections (LRIs), diarrheal diseases, HIV/AIDS, meningitis, hepatitis, and tuberculosis. 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 cause and sex at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014. Also included are changes in rates during this period and counties with the highest and lowest mortality rates for each cause in 2014. Study results were published in JAMA in March 2018 in "Trends and patterns of differences in infectious disease mortality among US counties, 1980–2014."

India - Madhya Pradesh Access, Bottlenecks, Costs, and Equity Project 2014 File icon

The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Two datasets resulting from the ABCE project in the Indian state of Madhya Pradesh are available for download. This first contains results of a health facility survey which gathered information on services offered, expenditure, revenue, personnel by category, equipment, capacity, vaccines, and other variables related to facility operations. In total, a nationally representative sample of 203 facilities were surveyed. Data were collected through interviews of health providers, direct observation of facility areas, and assisted observation of facility resources. The second dataset includes information collected in patient exit interviews conducted after patients visited facilities in the ABCE sample.

India - Andhra Pradesh and Telangana Access, Bottlenecks, Costs, and Equity Project 2013 File icon

The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Two datasets resulting from the ABCE project in the Indian state of Andhra Pradesh (now Andhra Pradesh and Telangana) are available for download. This first contains results of a health facility survey which gathered information on services offered, expenditure, revenue, personnel by category, equipment, capacity, HIV/AIDS care, and other variables related to facility operations. In total, a nationally representative sample of 98 facilities were surveyed. Data were collected through interviews of health providers, direct observation of facility areas, and assisted observation of facility resources. The second dataset includes information collected in patient exit interviews conducted after patients visited facilities in the ABCE sample.

India - Tamil Nadu Access, Bottlenecks, Costs, and Equity Project 2012-2013 File icon

The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Two datasets resulting from the ABCE project in the Indian state of Tamil Nadu are available for download. This first contains results of a health facility survey which gathered information on services offered, expenditure, revenue, personnel by category, equipment, capacity, and other variables related to facility operations. In total, a nationally representative sample of 168 facilities were surveyed. Data were collected through interviews of health providers, direct observation of facility areas, and assisted observation of facility resources. The second dataset includes information collected in patient exit interviews conducted after patients visited facilities in the ABCE sample.

South Africa HealthRise Health Facility Survey 2015 File icon

HealthRise is a collaborative multicountry initiative to implement and evaluate innovative community-based programs intended to improve heart disease and diabetes care in underserved communities. Conducted as part of HealthRise South Africa, this health facility survey was carried out at 86 facilities in Umgungundlovu district in KwaZulu-Natal province and Pixley ka Seme district in Northern Cape province. The survey was based on based on the WHO package of essential NCD interventions and South Africa’s Essential Medicine List and Standard Treatment Guidelines for Primary Health Care 2014. It was adapted from a questionnaire created for the Access, Bottlenecks, Costs, and Equity (ABCE) study. Data were collected about facility capacity, equipment availability, pharmaceutical and supply stocks, staffing, and services provided. The data were collected through computer-assisted personal interviews (CAPI).

India - Odisha Access, Bottlenecks, Costs, and Equity Project 2014-2015 File icon

The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Two datasets resulting from the ABCE project in the Indian state of Odisha are available for download. This first contains results of a health facility survey which gathered information on services offered, expenditure, revenue, personnel by category, equipment, capacity, HIV/AIDS care, and other variables related to facility operations. In total, a nationally representative sample of 108 facilities were surveyed. Data were collected through interviews of health providers, direct observation of facility areas, and assisted observation of facility resources. The second dataset includes information collected in patient exit interviews conducted after patients visited facilities in the ABCE sample.

India - Gujarat Access, Bottlenecks, Costs, and Equity Project 2015-2016 File icon

The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Two datasets resulting from the ABCE project in the Indian state of Gujarat are available for download. This first contains results of a health facility survey which gathered information on services offered, expenditure, revenue, personnel by category, equipment, capacity, vaccines, and other variables related to facility operations. In total, a nationally representative sample of 103 facilities were surveyed. Data were collected through interviews of health providers, direct observation of facility areas, and assisted observation of facility resources. The second dataset includes information collected in patient exit interviews conducted after patients visited facilities in the ABCE sample.

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