Quantitative Patterns in Juvenile Delinquency: Age-Group Concentration, Guilt Rate Variation, and the Limits of Social Determinism

Neelam Sharma

Quantitative Patterns in Juvenile Delinquency: Age-Group Concentration, Guilt Rate Variation, and the Limits of Social Determinism

Author(s)	Ms. Neelam Sharma
Country	India
Abstract	The National Crime Records Bureau (NCRB), under India's Ministry of Home Affairs, each year publishes data sets on ‘Crime in India’, amongst other records. These records are very important for policy and governance as they provide evidence-based data lawmakers. Such data sets are equally important for academic and research purposes to increase public awareness and accountability. Researchers from various back grounds in criminology, sociology, and economics use this data for public policy studies and international comparisons. Such data also enables longitudinal studies on crime patterns over decades. The ability to separately track and identify the vulnerable groups, women, children, elderly, and marginalized communities, serves as a commitment to the socialist and secular directives of our constitution. Statistical analysis of aggregate data like crimes provides starting point to drill down with more granular analysis. However, NCRB cautions the readers that “Crime is a manifestation of myriad complex factors”; thus, overly simplistic inferences from the study of aggregate-level data should be used only for hypothesis building and should be further substantiated with detailed research and thinking. The researchers need to be aware of fundamental fallacies of statistical analysis when applying such frameworks on a subject as intricate as crime - If two variables move together, it doesn't mean one drives the other; a trend visible in aggregated data can disappear or even reverse when you break it into subgroups; conclusions drawn from group-level data cannot be automatically applied to individuals within that group. Thus, high level statistical analysis should be viewed as directional evidence and not proof! In present paper, the researchers used various statistical methods such as ANOVA, chi-square analysis, regression modelling and cluster analysis on the 5A and 5 B tables of the NCRB report which covers data on total crimes committed by juveniles for 2022–2024 period (Juveniles in conflict with Law separately monitored for States and Union territories and metropolitans respectively). In this paper, parallels are also drawn with results of similar prior studies to identify recurring trends and highlight contrasting conclusions.
Keywords	NCRB 2024; Juvenile Crime Statistics; Juvenile Crime rates; Guilt rates; Crime in India 2024
Field	Sociology > Administration / Law / Management
Published In	Volume 17, Issue 2, July-December 2026
Published On	2026-07-25

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Quantitative Patterns in Juvenile Delinquency: Age-Group Concentration, Guilt Rate Variation, and the Limits of Social Determinism

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