Globally, millions of children are involved in child labour. However, low- and middle-income countries are mostly hit. This study examined the predictors of child labour among public secondary school students in the Enugu metropolis.

This was a descriptive cross-sectional study of 332 junior secondary students attending public schools in Enugu metropolis, Nigeria. Multistage sampling technique was used to select the six secondary schools and the students that participated in the study. Data collection was done from September to October 2018. Pretested structured, interviewer-administered questionnaire was used for data collection. The questionnaire contained information on the sociodemographic variables, the kind of work done by the respondents and the number of working hours spent weekly. UNICEF’s standard indicator for child labour was used to estimate the prevalence of child labour. Logistic regression was used to identify socioeconomic predictors of child labour.

The prevalence of overall child labour was 71.7%, while for domestic and economic child labour prevalence were 52.1 and 34.0%, respectively. About 35.2% of the respondents worked under hazardous conditions while 8% were forced to work. Two-thirds (236, 65%) of the respondents who have heard about child labour perceived it as wrong. The child labourers mainly worked to render financial assistance to their parents. The predictors of child labour were class of study (AOR = 2.208 (95% CI: 1.199–4.066) and weekly income earned (AOR = 0.316 (95% CI: 0.176–0.567).

The prevalence of child labour among junior students in public secondary schools in Enugu is high, and is predicted by the level of schooling and income earned. Economic and social reforms could contribute to addressing the predictors of child labour.