Female reoffending trajectories in England from 2000 to 2021: A longitudinal administrative data study.

Abstract As females are a minority group in the criminal justice system, they have often been neglected in criminological research. Research exploring offending trajectories has largely focused on male and mixed-gender samples and studies using female-only cohorts have been constrained by small sample sizes, short follow-ups and limited evidence from England. However, as rates of female imprisonment increase, it is ever more important that we attempt to understand females’ engagement with the criminal justice system. This study used a linkage of the Police National Computer and the National Pupil Database to create a birth cohort of female offenders in England (N=196,089). The study explored their offending trajectories from the age of criminal responsibility (10 years) up to age 31 years. A latent class analysis identified a four-class model with the following classes: ‘Life-course-persistent’ (11%), ‘Adolescent-limited’ (54%), ‘Young-adult-limited’ (16%) and ‘Adult-onset’ (19%). These classes resemble those identified using male and mixed-gender samples. By identifying the key developmental patterns of female offending in England, this study provides an empirical basis for early identification and tailored support for those females most at risk of persistent offending.

Authors

Institutions

Publication Details

Journal
Law and Human Behavior
Published
2026-11-09
DOI
https://doi.org/10.1037/lhb0000690
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Female reoffending trajectories in England from 2000 to 2021: A longitudinal administrative data study.

Alice Wickersham
2 links
Law and Human Behavior
Crime Patterns and Interventions
article

Female reoffending trajectories in England from 2000 to 2021: A longitudinal administrative data study.

Alice Wickersham
article en

Abstract

Abstract As females are a minority group in the criminal justice system, they have often been neglected in criminological research. Research exploring offending trajectories has largely focused on male and mixed-gender samples and studies using female-only cohorts have been constrained by small sample sizes, short follow-ups and limited evidence from England. However, as rates of female imprisonment increase, it is ever more important that we attempt to understand females’ engagement with the criminal justice system. This study used a linkage of the Police National Computer and the National Pupil Database to create a birth cohort of female offenders in England (N=196,089). The study explored their offending trajectories from the age of criminal responsibility (10 years) up to age 31 years. A latent class analysis identified a four-class model with the following classes: ‘Life-course-persistent’ (11%), ‘Adolescent-limited’ (54%), ‘Young-adult-limited’ (16%) and ‘Adult-onset’ (19%). These classes resemble those identified using male and mixed-gender samples. By identifying the key developmental patterns of female offending in England, this study provides an empirical basis for early identification and tailored support for those females most at risk of persistent offending.

Law and Human Behavior
King's College London (GB), University College London (GB)
National Institute for Health and Care Research, Department of Health and Social Care, NIHR Maudsley Biomedical Research Centre, Economic and Social Research Council
Peace, justice, and strong institutions, Reduced inequalities, Gender equality
Crime Patterns and Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon