Comparative Study on Out-of-School Children (OOSC) in Pakistan: Provincial Disparities, Structural Determinants, and Policy Implications

Abstract

Out of school children OOSC represent one of the most persistent and multidimensional challenges confronting South Asian education systems, with Pakistan consistently ranking among the countries with the highest absolute numbers of educationally excluded children globally. This study presents a comparative provincial analysis of OOSC rates across Pakistan’s four major provinces Punjab, Sindh, Khyber Pakhtunkhwa KPK, and Balochistan employing a dual analytical strategy that combines an exploratory regression framework with a composite vulnerability index COVI. Using secondary data drawn from the Pakistan Education Statistics (PES) 2021–2022, the Pakistan Bureau of Statistics (PBS), the Annual Status of Education Report (ASER) 2023, UNESCO Institute for Statistics (UIS), UNICEF, and World Bank databases, this study systematically examines the structural, economic, and governance determinants of educational exclusion. Methodologically, the study adopts an exploratory analytical modeling approach rather than strict inferential econometrics, given the small provincial sample (n = 4). The regression model, specified as OOSC Rate = f(poverty rate, gender disparity index, rural population share, education expenditure as % of GDP, school infrastructure index, child labor incidence), yields associational insights rather than causal claims. Multicollinearity, limited degrees of freedom, and potential endogeneity are discussed explicitly with appropriate diagnostics and alternative model specifications. The COVI, computed as a weighted composite of six vulnerability dimensions, reveals Balochistan as the highest-risk province, followed by Sindh, KPK, and Punjab. Sensitivity analysis using equal-weight COVI confirms the stability of provincial rankings. International benchmarking against Bangladesh, India, Ethiopia, and Ghana contextualizes Pakistan’s educational performance within the broader landscape of low- and middle-income countries (LMICs). The study contributes to the literatures on education inequality, development economics, social exclusion theory, and evidence-based policy design for LMICs. Findings indicate that OOSC rates are driven not by a single factor but by compounding structural vulnerabilities that require integrated, province-sensitive policy responses. This study recommends multi-sectoral interventions targeting poverty reduction, gender equity, infrastructure investment, and governance reform, with specific urgency for Balochistan.