Project – The Relationship Between Unemployment and Youth Involvement in Cybercrime: A Study of Selected Communities in Benin City, Edo State.

CHAPTER ONE

INTRODUCTION

1.1 Background to the Study

Unemployment remains an important socioeconomic challenge in many developing countries, particularly where the number of young people seeking employment exceeds the availability of decent and sustainable work opportunities. Employment provides individuals with income, financial independence, social recognition and opportunities to contribute to economic development. Conversely, prolonged unemployment may expose young people to financial hardship, frustration, dependency and uncertainty about their future. The International Labour Organization (2024) emphasises the importance of productive employment and decent work in promoting inclusive economic development and improving the livelihoods of young people. In Nigeria, unemployment statistics must be interpreted using the country’s revised labour-force measurement framework, which distinguishes unemployed persons from those who are employed, underemployed or outside the labour force. According to the National Bureau of Statistics (2024), Nigeria’s unemployment rate was 5.3% in the first quarter of 2024, while the unemployment rate among persons aged 15–24 was 8.4%. These figures illustrate the importance of examining employment conditions among young people, although the official unemployment rate alone does not capture every dimension of economic hardship or the difficulties associated with securing stable and adequate employment. Against this background, investigating the relationship between unemployment and youth involvement in cybercrime is important for understanding how economic circumstances may intersect with other factors influencing youth behaviour.

In Nigeria, youth unemployment and inadequate access to sustainable livelihood opportunities have remained important concerns for policymakers, families and communities. Many young people invest considerable time and resources in education and skills acquisition with the expectation that these investments will lead to productive employment. However, difficulties in transitioning from education to work, limited availability of formal-sector jobs, skills mismatches and unequal access to economic opportunities may complicate this process. The National Bureau of Statistics (2024) reported that unemployment among persons aged 15–24 was 8.4% in the first quarter of 2024, while the rate among those aged 25–34 was 7.5%. These figures need to be understood within the revised labour-force methodology and should not be interpreted as a complete measure of youth poverty, job insecurity or dissatisfaction with available employment. Nevertheless, they provide an official basis for discussing the labour-market circumstances facing younger Nigerians. Any investigation of the relationship between unemployment and cybercrime must also recognise that unemployment does not automatically lead to criminal behaviour. Many unemployed youths pursue legitimate alternatives, including self-employment, vocational training, informal trading and entrepreneurial activities. The central concern is therefore whether unemployment is associated with particular pressures, opportunities and social circumstances that may increase some youths’ vulnerability to cybercrime.

The expansion of internet connectivity, digital communication, electronic financial services and online commercial activities has created substantial opportunities for education, entrepreneurship and economic development. At the same time, these developments have created opportunities for offences involving digital systems, electronic communications and online transactions. Cybercrime broadly encompasses unlawful activities involving computers, networks or digital technologies, including online fraud, identity theft, unauthorised access to computer systems and other forms of technology-enabled deception. The United Nations Office on Drugs and Crime (2013) explains that cybercrime presents significant challenges for criminal justice systems because offenders may operate across geographical boundaries, exploit technological vulnerabilities and conceal their identities through digital means. In Nigeria, online financial fraud is a particularly relevant aspect of the broader cybercrime problem because internet access and digital communication can be exploited to deceive individuals and organisations. However, it is important to distinguish legitimate digital entrepreneurship, cybersecurity work and other lawful online activities from criminal conduct. The growth of digital technology does not itself cause cybercrime; rather, criminal involvement may emerge from the interaction of individual decisions, social influences, economic circumstances and opportunities for offending. Examining unemployment in relation to youth involvement in cybercrime therefore requires attention to both the socioeconomic environment and the characteristics of digital offending.

The relationship between unemployment and youth involvement in cybercrime can be examined through the economic pressures that arise when legitimate opportunities for achieving socially valued goals are perceived to be inaccessible. Young people may face expectations to attain financial independence, support family members, acquire material possessions and demonstrate personal success. Where these expectations are combined with prolonged unemployment, financial hardship and limited access to legitimate income-generating opportunities, some individuals may become more susceptible to unlawful alternatives. Merton’s (1938) theory of social structure and anomie provides a useful sociological explanation of how a mismatch between culturally valued goals and legitimate means of attaining them may encourage some individuals to adopt deviant adaptations. In the context of cybercrime, this framework suggests that economic exclusion may contribute to the appeal of illicit online income among certain youths. Any such interpretation must, however, remain cautious because strain does not inevitably produce criminal conduct, and many individuals facing similar economic difficulties reject illegal activities. Furthermore, cybercrime may occur among employed individuals or those motivated by factors unrelated to unemployment. The theory therefore provides a framework for investigating whether unemployment is associated with cybercrime involvement without presuming that unemployment is either a necessary or sufficient cause of offending.

Youth involvement in cybercrime may also be influenced by peer networks, social expectations, perceived opportunities for rapid financial gain and the normalisation of unlawful practices within particular social environments. In some settings, the visible display of wealth and material success may create pressure among young people to achieve similar lifestyles, even when their legitimate financial resources are limited. Social relationships can influence how individuals understand acceptable behaviour, evaluate risks and respond to economic challenges. Agnew’s (1992) general strain theory explains that negative experiences and stressful circumstances may increase the likelihood of delinquent behaviour, particularly where individuals lack effective coping mechanisms or perceive limited legitimate alternatives. Applied to the present study, unemployment may represent one potential source of strain, while peer influence and social expectations may help explain why young people experiencing similar economic conditions make different behavioural choices. Nevertheless, these factors should be investigated rather than assumed to operate uniformly in every community. It is also important to avoid equating unemployment with dishonesty or treating young people as a homogeneous group. The relevant research concern is how employment status interacts with economic pressures, social networks, personal values and perceived opportunities in shaping youth involvement in cybercrime.

Edo State provides a relevant context for investigating youth unemployment and cybercrime because Benin City is an important urban centre with diverse commercial, educational and social activities. As the state capital, Benin City contains communities in which young people may encounter different opportunities for formal employment, informal work, self-employment and vocational development. The socioeconomic circumstances of youths may differ according to educational attainment, household resources, access to professional networks and the availability of local livelihood opportunities. A study of unemployment and cybercrime in this environment must therefore consider the local context rather than rely exclusively on national statistics. A study archived by the University of Benin, The Impacts of Cybercrime in Nigeria: A Case Study of Benin City Youths, identifies unemployment, poverty, peer influence and the pursuit of quick wealth among the factors investigated in relation to cybercrime in Benin City (Idonije, 2025). This local research provides a useful contextual indication that the subject has received scholarly attention within the study area. However, findings from a single study cannot establish the prevalence of cybercrime across Benin City or prove that unemployment directly causes offending. A systematic investigation of selected communities is therefore necessary to examine how residents’ employment experiences and perceptions relate to youth involvement in cybercrime.

Understanding the relationship between unemployment and youth involvement in cybercrime requires research that considers the experiences of young people within the communities where they live and interact. National unemployment statistics provide an overview of labour-market conditions, but they cannot independently explain why some unemployed youths may become involved in cybercrime while others pursue legitimate alternatives. Similarly, evidence of cybercrime within a locality does not establish the extent to which unemployment contributes to it. Any meaningful investigation must consider the possible influence of financial hardship, educational background, peer associations, access to digital technologies, social expectations and opportunities for lawful employment. Research on youth unemployment and cybercrime in Nigeria has discussed the potential connection between limited economic opportunities and illicit digital activities, including Anyanwu (2024), while Merton’s (1938) and Agnew’s (1992) theoretical contributions offer frameworks for interpreting the possible role of economic strain and individual responses to adversity. In Benin City, the present study will examine selected communities to determine whether a relationship exists between unemployment and youth involvement in cybercrime, assess the socioeconomic factors that may be associated with this relationship and investigate the role of peer influence and available employment opportunities. The study is intended to provide context-specific evidence that can inform discussions on youth employment, crime prevention, digital responsibility and community development without presuming that unemployed youths are inherently predisposed to criminal behaviour.

1.2 Statement of the Problem

Unemployment is a major socioeconomic concern because it can limit young people’s access to income, financial independence and legitimate opportunities for personal advancement. In Nigeria, some youths experience difficulties securing stable employment after completing their education or acquiring vocational qualifications, potentially exposing them to prolonged financial uncertainty and frustration. At the same time, the expansion of internet access has created opportunities for cybercrime, including online fraud and identity-related offences. Although unemployment and cybercrime are both important social concerns, their coexistence does not necessarily demonstrate that one causes the other. The National Bureau of Statistics (2024) reported youth unemployment rates of 8.4% among persons aged 15–24 and 7.5% among those aged 25–34 in the first quarter of 2024. These figures provide relevant labour-market context but do not establish the extent of cybercrime involvement among unemployed youths. The problem, therefore, is to determine whether unemployment is significantly related to youth involvement in cybercrime within selected communities in Benin City, Edo State.

Another problem concerns the socioeconomic pressures that may influence the decisions of some unemployed youths. Limited access to legitimate income, family responsibilities, financial hardship and expectations of material success may create conditions in which unlawful income-generating activities appear attractive to certain individuals. Merton (1938) explains that a gap between socially valued goals and legitimate means of attaining them may encourage deviant adaptations, while Agnew (1992) highlights the role of strain and negative experiences in delinquent behaviour. These perspectives offer possible explanations for the relationship between unemployment and cybercrime, but they do not establish that every unemployed individual experiences the same pressures or responds to them in the same way. Some unemployed youths engage in legitimate entrepreneurship, vocational activities or informal employment, while cybercrime may also be committed by individuals who have jobs or other sources of income. The problem requiring investigation is how unemployment, financial hardship and access to legitimate livelihood opportunities relate to youth involvement in cybercrime in the selected communities.

A further problem is that youth involvement in cybercrime may be associated with factors beyond unemployment, including peer influence, social expectations, access to digital technologies and the perceived possibility of obtaining money quickly. These factors may interact with economic conditions in different ways, making it difficult to isolate the contribution of unemployment without systematic investigation. The University of Benin repository contains a study on the impacts of cybercrime among youths in Benin City that identifies unemployment, poverty, peer influence and the pursuit of quick wealth among the factors examined in the study (Idonije, 2025). However, the existence of these reported factors does not independently establish the strength or direction of the statistical relationship between unemployment and cybercrime involvement across different communities. It is therefore necessary to examine the extent to which employment status and related socioeconomic circumstances are associated with youth involvement in cybercrime, while recognising the possible contribution of other individual and social factors.

The central problem addressed by this study is the need for community-specific empirical evidence concerning the relationship between unemployment and youth involvement in cybercrime in selected communities in Benin City, Edo State. Although existing literature discusses the possible connection between limited economic opportunities and cybercrime in Nigeria, such findings cannot automatically establish the strength of this relationship within every local community. Without a focused investigation, it remains unclear whether unemployed youths in the selected communities report greater involvement in cybercrime than their employed counterparts, which socioeconomic circumstances are most closely associated with involvement, and how access to legitimate employment opportunities relates to the problem. This study will therefore investigate the relationship between unemployment and youth involvement in cybercrime in the selected communities, with a view to generating evidence that may inform employment initiatives, youth development programmes and community-based crime-prevention strategies.

1.3 Objectives of the Study

The general objective of the study is to examine the relationship between unemployment and youth involvement in cybercrime in selected communities in Benin City, Edo State.

The specific objectives are to:

1. Examine the extent and patterns of unemployment among youths in selected communities in Benin City, Edo State.

2. Determine the relationship between unemployment and youth involvement in cybercrime in the selected communities.

3. Identify the socioeconomic factors associated with youth involvement in cybercrime in the selected communities.

4. Assess the perceived role of access to legitimate employment and livelihood opportunities in addressing youth involvement in cybercrime in the selected communities.

1.4 Research Questions

The following research questions will guide the study:

1. What is the extent and pattern of unemployment among youths in selected communities in Benin City, Edo State?

2. What is the relationship between unemployment and youth involvement in cybercrime in the selected communities?

3. What socioeconomic factors are associated with youth involvement in cybercrime in the selected communities?

4. How do legitimate employment and livelihood opportunities relate to youth involvement in cybercrime in the selected communities?

1.5 Research Hypothesis

The following null hypothesis will be tested at the 0.05 level of significance.

H₀: There is no statistically significant relationship between unemployment and youth involvement in cybercrime in selected communities in Benin City, Edo State.

1.6 Significance of the Study

The findings of this study may be useful to government agencies, policymakers, youths, community leaders, law-enforcement agencies, educational institutions, researchers and organisations involved in employment creation and crime prevention.

1.6.1 Government and Policymakers

The study may provide evidence to support policies addressing youth unemployment and cybercrime. By examining the relationship between employment conditions and cybercrime involvement, the findings may help policymakers assess the importance of job creation, vocational training, entrepreneurship support and other legitimate livelihood opportunities as components of broader youth development and crime-prevention strategies.

1.6.2 Youths

The study may increase awareness among young people of the social, legal and economic consequences associated with cybercrime. It may also encourage the pursuit of legitimate employment, entrepreneurship, vocational training and responsible use of digital technologies. By examining the relationship between unemployment and cybercrime without treating the two as automatically connected, the research may promote informed discussions about lawful alternatives for achieving financial independence.

1.6.3 Community Leaders

Community leaders in the selected areas may benefit from evidence concerning the socioeconomic conditions associated with youth involvement in cybercrime. The findings may help inform community awareness programmes, youth engagement initiatives, skills-development activities and collaborations with relevant government agencies. Such initiatives may support constructive participation by young people in community development.

1.6.4 Law-Enforcement Agencies

The study may provide useful contextual information for law-enforcement agencies concerned with cybercrime prevention and community safety. Understanding the relationship between unemployment, peer influence and other socioeconomic circumstances may contribute to prevention strategies that complement investigation, prosecution and enforcement with appropriate public education and community engagement.

1.6.5 Educational and Vocational Institutions

Educational institutions and vocational training centres may use the findings to understand the importance of employability skills, digital ethics and career guidance in youth development. Where the evidence indicates relevant needs, these institutions may strengthen programmes that prepare young people for legitimate digital work, entrepreneurship and other employment opportunities.

1.6.6 Researchers and Students

The study may contribute to the literature on unemployment, youth behaviour and cybercrime in Nigeria. It may also provide a basis for future research involving other communities, states or population groups. Students and researchers in sociology, criminology, economics, social work and related disciplines may find the study useful when examining the relationship between economic disadvantage and unlawful behaviour.

1.7 Scope of the Study

The study focuses on the relationship between unemployment and youth involvement in cybercrime in selected communities in Benin City, Edo State, Nigeria. Its geographical scope is limited to the communities selected for the research within Benin City. The target population will comprise youths within the age range adopted for the study, with the final sampling framework specifying the eligible participants and their employment status.

In terms of content, the study covers four principal areas: the extent and patterns of youth unemployment, the relationship between unemployment and youth involvement in cybercrime, the socioeconomic factors associated with cybercrime involvement, and the perceived role of legitimate employment and livelihood opportunities in addressing the problem.

The study considers cybercrime in relation to activities such as online fraud, internet-enabled financial deception, identity-related offences and other unlawful activities involving digital technologies. It distinguishes these activities from legitimate internet use, digital entrepreneurship and lawful technology-related employment.

The study is limited to the selected communities and the information obtained from respondents through the adopted research methods. Its findings will be interpreted within the context of the selected population and will not automatically be generalised to all youths in Edo State or Nigeria.

1.8 Limitations of the Study

The study may encounter limitations that could affect data collection and interpretation.

First, the geographical restriction to selected communities in Benin City may limit the generalisability of the findings to other communities in Edo State and beyond.

Second, the sensitive nature of cybercrime may make some respondents reluctant to disclose personal experiences or provide accurate information. Respondents may fear stigma, social disapproval or possible legal consequences. To minimise this challenge, the research should protect respondents’ confidentiality, avoid unnecessary collection of identifying information and make participation voluntary.

Third, unemployment and cybercrime involvement may be difficult to measure precisely. Some youths may engage in informal economic activities despite lacking formal employment, while cybercrime may be underreported or concealed. The research instruments should therefore distinguish unemployment from underemployment, informal work and economic inactivity, and should clearly define cybercrime-related measures.

Finally, the study may identify a statistical association between unemployment and cybercrime involvement without conclusively establishing causation. Other factors, including peer influence, socioeconomic background, educational attainment and access to digital technologies, may contribute to the observed relationship. Appropriate research design and statistical analysis will be necessary to interpret the findings responsibly.

1.9 Operational Definition of Terms

Unemployment: A condition in which a person who is eligible to participate in the labour market is without employment, is actively seeking work and is available to work, consistent with the adopted labour-force measurement framework.

Youth: Young people who fall within the age range specified for this study. The research should state the exact age range in its methodology and apply it consistently when selecting respondents.

Cybercrime: Unlawful activities involving computers, digital devices, networks or online platforms, including online fraud, identity-related offences and unauthorised access to digital systems.

Youth involvement in cybercrime: Participation by young people in cybercrime-related activities, measured according to the study’s defined indicators and data-collection procedures. Where direct self-reporting is inappropriate or unavailable, the research must distinguish respondents’ personal involvement from their perceptions of cybercrime within their communities.

Relationship: The association between unemployment and youth involvement in cybercrime as examined through the study’s data and statistical analysis.

Socioeconomic factors: Economic and social circumstances, including income, financial hardship, educational attainment, family responsibilities, peer influence and access to legitimate livelihood opportunities, that may be associated with youth involvement in cybercrime.

Legitimate employment opportunities: Lawful opportunities for paid employment, self-employment, entrepreneurship, vocational work and other productive economic activities.

Selected communities: The specific communities within Benin City, Edo State, that will be identified and included in the research design.

Benin City: The urban study area in Edo State, Nigeria, within which the selected communities will be investigated.

Project – The Relationship Between Unemployment and Youth Involvement in Cybercrime: A Study of Selected Communities in Benin City, Edo State.