SOCIOECONOMIC DISPARITIES IN FAISALABAD: A RURAL–URBAN ASSESSMENT OF IMPACTS, ADAPTATION, AND RESILIENCE

Abstract

COVID-19 constituted a health emergency in 2019 as well as a domestic socioeconomic upheaval that affected employment, income, savings, food accessibility, healthcare expenditures, mental well-being, education, and digital technologies. This study examined the social and economic ramifications of the pandemic on families affected in rural and urban areas in Faisalabad, Pakistan. Descriptive statistics, percentage analysis, and binary logistic regression were employed on the sample of 156 participants (78 from urban areas and 78 from rural areas). The results indicated that 70.5% of respondents faced a decline in employment. The earnings of 62.8% of urban households and 60.3% of rural households decreased, while the savings of 75.6% and 61.5% of same households, respectively, diminished. In both environments, the proportion of individuals encountering mental stress escalated to 78.2%, while more than half of the participants reported an increase in health-related expenses. Class attendance was profoundly impacted: the majority of families lacked access to virtual classrooms, and online instruction was largely seen as ineffective. Merely 11.5% reported having gotten aid from governmental or philanthropic sources. The behavioral models suggested that factors such as gender, age, education, occupation, and wealth were more indicative of protective behaviors than residency by itself. The recovery phase illustrated a significant and enduring change in Pakistan's digital environment that went largely unacknowledged throughout the period of instability. Government had taken steps toward regulating open, distant, mixed, and digitally augmented education in tertiary institutions. The trends suggested that online work, freelancing, digital skills, and hybrid education are increasingly vital tools for coping and resilience in the post-COVID era, while the results from Faisalabad underscore the importance of access to devices and connectivity, as well as digital proficiency, as a factor contributing to inequality. COVID-19 served as the primary disruption, while adjusting to the post-pandemic landscape in 2026 is the key inquiry for recovery.