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Communication

Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention

1
Department of Educational Administration, College of Education, University of Saskatchewan, Saskatoon, SK S7N 0X1, Canada
2
CHASR, University of Saskatchewan, Saskatoon, SKS7N 5A4, Canada
*
Authors to whom correspondence should be addressed.
Stats 2024, 7(4), 1437-1453; https://doi.org/10.3390/stats7040084
Submission received: 16 October 2024 / Revised: 24 November 2024 / Accepted: 26 November 2024 / Published: 28 November 2024

Abstract

Child labor remains a predominant issue in Pakistan despite the country’s existing policies and frameworks aimed at abolishing it. Through this study, we investigated the child labor distribution across Sindh and examined the factors that shape the regional patterns. We analyzed the data available through the 2018–19 Sindh Multiple Indicator Cluster Surveys, MICS 6, from 20,030 households with 40,633 children in the 5–17 age bracket. By applying prevalence statistics, chi-square tests, and regression modeling to these data, we investigated the trends in child labor prevalence, identified the correlation between child labor and various socioeconomic and geodemographic variables, and finally mapped the geospatial patterns of child labor across districts in Sindh, enabling us to identify and prioritize the districts in need of immediate intervention. The findings revealed that about 20 percent of the children in Sindh are engaged in child labor, with a high prevalence among males and in the 15–17 age bracket. Moreover, poverty and rural dwellings raise this issue. Other socioeconomic and geographic factors reinforcing this issue are a lack of education among children, mothers, or caretakers and mothers’ or caretakers’ functional difficulties. However, children’s functional difficulties lower their prevalence in labor. Among the 29 districts across Sindh, Kambar Shahdadkot has the highest prevalence of child labor.
Keywords: child labor; logistic regression; geospatial mapping; MICS; spatial patterns; Sindh; Pakistan child labor; logistic regression; geospatial mapping; MICS; spatial patterns; Sindh; Pakistan

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MDPI and ACS Style

Maqbool, N.; Newton, P.; Shah, T. Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention. Stats 2024, 7, 1437-1453. https://doi.org/10.3390/stats7040084

AMA Style

Maqbool N, Newton P, Shah T. Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention. Stats. 2024; 7(4):1437-1453. https://doi.org/10.3390/stats7040084

Chicago/Turabian Style

Maqbool, Nadia, Paul Newton, and Tayyab Shah. 2024. "Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention" Stats 7, no. 4: 1437-1453. https://doi.org/10.3390/stats7040084

APA Style

Maqbool, N., Newton, P., & Shah, T. (2024). Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention. Stats, 7(4), 1437-1453. https://doi.org/10.3390/stats7040084

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