Predictors of Criminal Involvement by Teenagers Living in Informal Settlement in Nairobi, Kenya: A Case Study of Kibera Slum

  • Benny Otieno Ouma The Technical University of Kenya
  • Ndikaru wa Teresia, PhD The Technical University of Kenya
Keywords: Crime, Psychological, Criminal, Strain Theory, Snow-Ball, Predictors, Informal Settlements, Socio-Economic Factors, Teenagers, Poverty, Criminogenic, Population
Share Article:

Abstract

Crime is a multifaceted phenomenon caused by a myriad of factors, including social, economic, and psychological factors. This study examined the predictors of criminal behaviour among teenagers in Kibera, Nairobi, Kenya. Kibera is the largest slums in Africa and is characterized by high poverty levels, high crime rates, unemployment rates, and limited access to basic amenities. The prevalence of crime in Kibera slum is marked by theft as the most reported crime and has drawn many teenagers into engaging in illegality as a way of earning a living. Notably, understanding these socio-economic and individual factors that contribute to teenage delinquency in Kibera is instructive in developing effective intervention and prevention strategies. This study was based on two objectives: examining the socio-economic factors and the individual-level factors that influence the adoption of criminal behaviour amongst teenagers in the Kibera slum. The strain theory was used to understand the relationship between the socio-economic and individual-level factors in the Kibera teenagers' context and the adoption of criminogenic behaviour. The case study design was adopted in which data was collected and analysed using qualitative methods. The data was collected from 19 participants, including teenagers, teachers, parents, guardians, and local administration officers. The sample was generated using purposive and snow-balling sampling with the questionnaire and focus group discussion used to collect the data. The study concluded that socio-economic factors influencing criminal behaviour amongst teenagers included access to education, economic instability, family dysfunction, peer pressure, community support, and school policies, while the individual-level factors included mental health issues, genetic variations, and prenatal and perinatal factors. The study recommended the establishment and implementation of programs to cater to economic impoverishment, educational access, role modelling, and mental health issues as necessary for tackling criminality amongst the teenagers in the Kibera slum

Downloads

Download data is not yet available.

References

Austin, R. (2019, August 6). If we don't kill these people, they will kill you": Policing Africa's largest slum. The Guardian. https://www.theguardian.com/global-development/2019/aug/06/if-we-dont-kill-these-people-they-will-kill-you-policing-africas-largest-slum

Bouza, P. (2019, June 2). Kibera: An in Depth Look at Africa's Largest Slum. BORGEN. https://www.borgenmagazine.com/kibera-an-in-depth-look-at-africas-largest-slum/

Braun, V., & Clarke, V. (2013). Successful Qualitative Research: A Practical Guide for Beginners. SAGE.

Brown, S. E., Esbensen, F.-A., & Geis, G. (2013). Criminology: Explaining Crime and Its Context. Routledge.

Cullen, F. T., Wright, J., & Blevins, K. (2011). Taking Stock: The Status of Criminological Theory. Transaction Publishers.

Coghlan, D., & Shani, A. B. (Rami). (2018). Conducting Action Research for Business and Management Students. SAGE.

Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications.

Duran-Bonavila, S., Vigil-Colet, A., Cosi, S., & Morales-Vives, F. (2017). How Individual and Contextual Factors Affects Antisocial and Delinquent Behaviors: A Comparison between Young Offenders, Adolescents at Risk of Social Exclusion, and a Community Sample. Frontiers in Psychology, 8. https://www.frontiersin.org/articles/10.3389/fpsyg.2017.01825

Haylock, S., Boshari, T., Alexander, E. C., Kumar, A., Manikam, L., & Pinder, R. (2020). Risk factors associated with knife-crime in United Kingdom among young people aged 10–24 years: A systematic review. BMC Public Health, 20(1), 1451. https://doi.org/10.1186/s12889-020-09498-4

Hazra, D. (2021). Determinants of Juvenile Crime – Evidence from India (SSRN Scholarly Paper 3359948). https://doi.org/10.2139/ssrn.3359948

Jacobs, L. A., Ashcraft, L. E., Sewall, C. J. R., Folb, B. L., & Mair, C. (2020). Ecologies of juvenile reoffending: A systematic review of risk factors. Journal of Criminal Justice, 66, 101638. https://doi.org/10.1016/j.jcrimjus.2019.101638

Javed, M., Azhar, Z., Anwar, H. N., & Sohail, M. M. (2012). Socio-Economic Factors Affecting to Juvenile Delinquency: A Study Conducted at Borstal Jails of Punjab. Asian Journal of Empirical Research, 2(5), Article 5.

Johnson, B., & Christensen, L. (2014). Educational Research: Quantitative, Qualitative, and Mixed Approaches. SAGE Publications.

Kabiru, C. W., Elung’ata, P., Mojola, S. A., & Beguy, D. (2014). Adverse life events and delinquent behaviour among Kenyan adolescents: A cross-sectional study on the protective role of parental monitoring, religiosity, and self-esteem. Child and Adolescent Psychiatry and Mental Health, 8, 24. https://doi.org/10.1186/1753-2000-8-24

Khan, H. U. (2016). Socio-Economic Factors Affecting Juvenile Delinquency: A Study in Borstal Jails, Punjab. International Journal for Social Studies, 2(10). https://journals.eduindex.org/index.php/ijss/article/view/6679

Kimani, J. (2019, November 26). Understanding violence in the slums: Resilience or normalization? Arise. https://www.ariseconsortium.org/violence-urban-youth-kenya/

Knaappila, N., Marttunen, M., Fröjd, S., Lindberg, N., & Kaltiala-Heino, R. (2019). Changes in delinquency according to socio-economic status among Finnish adolescents from 2000 to 2015. Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, 7, 52–59. https://doi.org/10.21307/sjcapp-2019-008

Krohn, M. D., Lizotte, A. J., & Hall, G. P. (2010). Handbook on Crime and Deviance. Springer Science & Business Media.

Maguire, M., & Delahunt, B. (2017). Doing a Thematic Analysis: A Practical, Step-by-Step Guide for Learning and Teaching Scholars. AISHE- J, 3. http://ojs.aishe.org/index.php/aishe-j/article/viewFile/335/553

Mahmoodi, Z., Solimannejad, T., Solimannejad, M., & Niazi, M. (2021). Social harms and social class in Iranian youth and adolescents living in slums in the suburbs: A systematic review. International Journal of Adolescent Medicine and Health, 33(3), 1–7. https://doi.org/10.1515/ijamh-2020-0267

Mwangangi, R. K. (2019). The Role of Family in Dealing with Juvenile Delinquency. Open Journal of Social Sciences, 7(3). https://doi.org/10.4236/jss.2019.73004

Onyango, P. (2020). Deaths, crime, unemployment in the slums of Nairobi during Covid-19. The Standard. https://www.standardmedia.co.ke/article/2001369956/deaths-crime-unmeployment-in-the-slums-of-nairobi-during-covid-19

Onyango, P., & Tostensen, A. (2015). The situation of youth and children in Kibera. CMI - Chr. Michelsen Institute, 1–33.

Patoari, H. (2020). Socio-Economic, Cultural and Family Factors Causing Juvenile Delinquency and Its Consequences in Bangladesh: A Look for Way Out. Asian Journal of Social Sciences and Management Studies, 7, 89– 98. https://doi.org/10.20448/journal.500.2020.72.89.98

Pereda, N., Greco, A. M., Díaz-Faes, D. A., Eisner, M., & Ribeaud, D. (2022). Early Childhood Predictors of Teen Dating Violence Involvement at Age 17. Journal of Youth and Adolescence, 51(11), 2219–2234. https://doi.org/10.1007/s10964-022-01664-8

Rekker, R., Pardini, D., Keijsers, L., Branje, S., Loeber, R., & Meeus, W. (2015). Moving in and out of Poverty: The Within-Individual Association between Socio-economic Status and Juvenile Delinquency. PLoS ONE, 10(11), e0136461. https://doi.org/10.1371/journal.pone.0136461

Saiesha. (2022, August 13). Poverty and Inequality in the Kibera Slum. The Borgen Project. https://borgenproject.org/kibera-slum/

Sariaslan, A., Larsson, H., D’Onofrio, B., Långström, N., & Lichtenstein, P. (2018). Childhood family income, adolescent violent criminality and substance misuse: Quasi-experimental total population study. The British Journal of Psychiatry, 205(4), 286–290. https://doi.org/10.1192/bjp.bp.113.136200

Tangen, W. O. J. O. (2021). Combating disinformation in Kibera, Kenya’s largest slum. DW. https://www.dw.com/en/engaging-the-influencers-combating-disinformation-in-kenyas-largest-slum/a-59258006

Tiwari, G., Dubey, S., Verma, A., & Scholar, P. (2023). Socio-economic and Family Factors Attributing Enhanced Juvenile Delinquency: A Review.

Uche, D., & Okemini, E. B. (2022). Socio-economic Factors as Determinants of Juvenile Delinquency among Urban Slum Dwellers in Selected Waterfront Settlements in Rivers State, Nigeria.

Vito, G. F., & Maahs, J. R. (2017). Criminology. Jones & Bartlett Publishers.

Wa Teresia. J. N. (2021). Juvenile Delinquency and Crime Nairobi Slum Areas, Kenya. East African Journal of Arts and Social Sciences, 4, 22- 38. https://doi.org/10.37284/eajass.4.1.449

Wa Teresia. J.N. (2023). Crime Mitigation Strategies Utilized in Slum Areas of Nairobi, Kenya. East African Journal of Interdisciplinary Studies, 6(1). https://doi.org/10.37284/eajis.6.1.1053

Published
5 February, 2024
How to Cite
Ouma, B., & wa Teresia, N. (2024). Predictors of Criminal Involvement by Teenagers Living in Informal Settlement in Nairobi, Kenya: A Case Study of Kibera Slum. East African Journal of Arts and Social Sciences, 7(1), 46-61. https://doi.org/10.37284/eajass.7.1.1737