Global mortality statistics
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Global Mortality Statistics: Trends and Patterns
Global Deaths and Leading Causes
Globally, the number of deaths has steadily increased over recent decades, largely due to population growth and aging. In 2019, there were about 55 million deaths worldwide, with 70% of these deaths registered, but only 42% assigned a usable cause of death, highlighting ongoing challenges in data quality and completeness, especially in low- and middle-income countries . The leading causes of death have shifted over time, but non-communicable diseases (NCDs) such as ischaemic heart disease, stroke, and chronic obstructive pulmonary disease have consistently ranked at the top. In 2021, COVID-19 emerged as the second-leading cause of death globally, temporarily altering the usual rankings .
Trends in Life Expectancy
Life expectancy has increased significantly over the past several decades. From 1980 to 2015, global life expectancy at birth rose from about 62 to nearly 72 years . The most substantial gains have been seen in sub-Saharan Africa, where life expectancy rebounded after the HIV/AIDS crisis, and in countries that have made progress in reducing child and maternal mortality Wang2016Wang2017Dicker2018. However, some regions, particularly those affected by conflict or rising violence, have experienced stagnation or declines in life expectancy, especially among men Wang2016Dicker2018.
Shifts in Cause-Specific Mortality
There has been a marked shift from communicable, maternal, neonatal, and nutritional (CMNN) diseases to NCDs as the primary causes of death worldwide. In 2016, NCDs accounted for over 72% of global deaths, while CMNN diseases made up about 19%, and injuries about 8% Ad20175. While age-standardized death rates for NCDs have decreased, the absolute number of deaths from these causes has increased due to demographic changes Wang2016Lozano2012Ad2017+2 MORE. Deaths from communicable diseases, especially HIV/AIDS, malaria, and childhood infections, have declined significantly, but remain high in some low-income regions Wang2016Lozano2012Ad2017+2 MORE.
Age-Specific Mortality Patterns
Child mortality has dropped dramatically, with under-5 deaths falling from over 16 million in 1970 to about 5.4 million in 2017 Wang2017Dicker2018. The leading causes of death in children under 5 are lower respiratory infections, neonatal complications, and diarrheal diseases Ad20178. Among adolescents and young adults (10–24 years), mortality has also declined, but progress has been slower compared to younger children. In 2019, 1.7 million deaths occurred in this age group, with leading causes including injuries (such as transport accidents and violence), communicable diseases, and self-harm .
Regional and Socioeconomic Differences
There are substantial differences in mortality rates and causes of death between regions and countries. High-income countries have more complete and higher-quality mortality data, and their leading causes of death are mostly NCDs . In contrast, low-income countries, especially in sub-Saharan Africa and South Asia, still face high mortality from infectious diseases and maternal and neonatal conditions Naghavi2024Wang2016Ad2017+3 MORE. Socio-demographic development is closely linked to mortality patterns, with higher development associated with lower mortality from communicable diseases and higher proportions of deaths from NCDs Wang2016Ad20175+1 MORE.
Data Quality and Policy Implications
Despite improvements, only about half of global deaths are registered with a medically certified cause, and many countries lack reliable mortality data . Strengthening death registration systems, improving cause-of-death certification, and using new technologies like automated verbal autopsy are essential for better monitoring and policy-making Adair2023Ward2021.
Conclusion
Global mortality statistics reveal significant progress in reducing deaths from infectious diseases and increasing life expectancy, but also highlight the growing burden of non-communicable diseases and persistent inequalities between regions. Continued efforts to improve data quality and address the specific health challenges of different populations are crucial for further reducing preventable deaths worldwide.
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