Analysis Challenges Leading Causes of Childhood Death

A new data review argues that age definitions and injury classifications shift the primary causes of childhood fatalities.

Updated on Oct. 27, 2026 in Children’s Health

Bold flat-color editorial illustration featuring a single, large geometric block, evoking the gravity of statistical mortality data analysis. — A new data analysis by Kostas Moros questions how age groupings in CDC mortality databases affect reported statistics on childhood firearm-related deaths. AI Illustration. Upload story photo >

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Do you trust the way major organizations report statistics on the leading causes of childhood death?

A data analysis by Kostas Moros challenges assertions regarding the leading causes of childhood death using 2025 CDC WONDER mortality database figures. The research suggests that firearm-related death rankings change significantly when excluding 18- and 19-year-olds from the data.

Why it matters

The analysis aims to demonstrate how specific classification methodologies influence the statistical representation of firearm-related deaths among minors. By isolating different age groups and injury categories, the study provides an alternative perspective on how childhood mortality is measured.

In 2025, firearm-related deaths and motor vehicle incidents each caused 2,099 deaths among minors ages 1-17. During the same period, conditions of the newborn period resulted in 9,749 deaths, while cancer accounted for 1,375.

The players

Kostas Moros

He is the researcher who published this specific data analysis challenging childhood mortality statistics.

The details

The study highlights that 2025 firearm death totals for minors included 1,130 homicides, 800 suicides, 97 accidents, 78 deaths of undetermined intent, and 10 deaths via legal intervention. The analysis notes that including 18- and 19-year-olds in the dataset increases the total count of firearm-related deaths to 3,754.

2020-2023: Firearm-related incidents exceeded motor vehicle accidents among individuals ages 1-19.
2025: This was the calendar year used for the mortality data analysis.

Health Landscape

This analysis acts as a critique of how the CDC WONDER mortality database classification standards are interpreted in public discourse. By challenging the current methodologies, the study prompts a deeper look into how specific age and injury subsets frame national health trends.

This data analysis provides context for how parents and the public interpret mortality risks for minors. It encourages readers to consider how statistical grouping, such as the inclusion or exclusion of certain age brackets, impacts the perception of childhood safety.

The takeaway

Understanding how mortality data is categorized is essential for accurately assessing risks within different age demographics. Readers should look closely at statistical breakdowns to determine if specific age ranges are being aggregated or segmented in health reports.