This data visualization presents data classified in five discrete classes created using the quantile classification method. Each class contains 20% of countries, which is easy to interpret. The quintile classes are labeled sequentially from Quitile 1 as the first or lower quintile including the lowest fifth (1% to 20%) of the data to Quintile 5, the fifth or upper quintile representing the class with the highest fifth (81% to 100%) of the data.
Deaths, Disability-Adjusted Life Years (DALYs), Years Lived with Disability (YLDs), and Years of Life Lost (YLLs) due to diabetes mellitus
Unit of Measure: deaths, DALYs, YLDs, YLLs per 100,000 population
Topic: Mortality and burden of disease
Rationale: Measuring how many people die each year and why they died is one of the most important means – along with gauging how diseases and injuries are affecting people – for assessing the effectiveness of a country’s health system. Cause of death statistics helps health authorities focalize and prioritize public health interventions and actions.
Disaggregation: Age, Sex, Location (region, subregion, country), and Year
Method of estimation: Mortality estimates by cause, age, sex, location (countries, and the region) were extracted from the WHO Global Health Estimates (GHE) 2019. These estimates represent WHO's best estimates, computed using standard categories, definitions, and methods to ensure cross-country comparability, and may not be the same as official national estimates.
Method of estimation of global and regional aggregates: Weighted average using population estimates from the World Population Prospect, produced by the UN Population Division, as denominators.
Preferred data sources: Civil registration and vital statistics (CRVS) system with complete coverage and medical certification of cause of death
Other possible data sources: Household surveys surveillance systems sample or sentinel registration systems special studies