The household dependency ratio on young or old family members is considered a major determinant in poverty when human capital cannot support the family income. Since the elderly suffer a significant risk of poverty and make up an increasing percentage of the population, the country’s economic inequality is quite sensitive to population ageing. Family size adversely affects household well-being when focusing on children under 15 and adults over 65. The dependency increases the burden on bread earners and reduces consumption expenditure. The current study uses family reliance and the multidimensional poverty concept to analyse how poverty is distributed throughout different provinces. The current study intends to provide poverty analysis across all four provinces of Pakistan using the Alkire and Foster method of multidimensional poverty indexes from Household Integrated Economic Survey data. The study found that increasing child dependence significantly reduces consumption and exacerbates poverty. The Seniors Dependency Indicator demonstrates that as the elderly population in Sindh, Punjab, and Khyber Pakhtoon Khwa (KPK) declines, poverty decreases. All provinces saw an increase in the prevalence of child poverty, with the highest KPK rates in Punjab (6%) and Sindh (4%), respectively. Since the functional sector does not have to shoulder the full load, the government should set up safety support mechanisms for these segments to lessen the burden on wage workers. According to the survey, access to clean water and literacy rates are the other leading indicators of poverty alleviation.

• Ali, S. M., & Kiani, M. F. K. (2003). Ageing and poverty in Pakistan. Pakistan Institute of Development Economics. https://file.pide.org.pk/pdf/mimap/MIMAP18.pdf

• Alkire, S., & Santos, M. E. (2010). Acute multidimensional poverty: A new index for developing countries (Working Paper No. 38). Oxford Poverty & Human Development Initiative (OPHI). SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1815243

• Bersisa, M., & Heshmati, A. (2021). A distributional analysis of uni-and multidimensional poverty and inequalities in Ethiopia. Social Indicators Research, 155, 805-835. https://doi.org/10.1007/s11205-021-02606-w

• Bloom, D. E., Canning, D., & Fink, G. (2010). Implications of population ageing for economic growth. Oxford Review of Economic Policy, 26(4), 583–612. https://doi.org/10.1093/oxrep/grq038

• Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53, 371–399. https://doi.org/10.1146/annurev.psych.53.100901.135233

• Braide, T. M., & Oluwatayo, I. B. (2022). Multidimensional poverty and its drivers among households in rural Limpopo Province, South Africa. African Journal of Development Studies (formerly AFFRIKA Journal of Politics, Economics and Society), 2022(si2), 51-78.

• Chakravarty, S. R., Deutsch, J., & Silber, J. (2008). On the Watts multidimensional poverty index and its decomposition. World Development, 36(6), 1067–1077. https://doi.org/10.1016/j.worlddev.2007.10.003

• Cheema, A., Khalid, L., & Patnam, M. (2008). The geography of poverty: Evidence from the Punjab [Special Edition]. The Lahore Journal of Economics, 13, 163–188. https://doi.org/10.35536/lje.2008.v13.isp.a10

• Deaton, A., & Paxson, C. (1994). Intertemporal choice and inequality. Journal of Political Economy, 102(3), 437–467. https://doi.org/10.1086/261941

• Faik, J. (2012). Impacts of an ageing society on macroeconomics and income inequality – the case of Germany since the 1980s. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2190302

• Gounder, R., & Xing, Z. (2012). Impact of education and health on poverty reduction: Monetary and non-monetary evidence from Fiji. Economic Modelling, 29(3), 787–794. https://doi.org/10.1016/j.econmod.2012.01.018

• Guerin, B. (2013). Demography & Inequality: How Europe’s changing population will impact income inequality. RAND Corporation. https://www.rand.org/content/dam/rand/pubs/research_reports/RR100/RR183/RAND_RR183.pdf

• Gulyani, S., Bassett, E. M., & Talukdar, D. (2014). A tale of two cities: A multi-dimensional portrait of poverty and living conditions in the slums of Dakar and Nairobi. Habitat International, 43, 98–107. https://doi.org/10.1016/j.habitatint.2014.01.001

• Jamal, H. (2005). In search of poverty predictors: The case of urban and rural Pakistan. The Pakistan Development Review, 44(1), 37–55. https://doi.org/10.30541/v44i1pp.37-55

• Khan, M. H., & Zerby, J. A. (1981). The socioeconomic position of Pakistan in the third world. The Pakistan Development Review, 20(3), 347–365. https://doi.org/10.30541/v20i3pp.347-365quence=1

• Libois, F., & Somville, V. (2018). Fertility, household size and poverty in Nepal. World Development, 103, 311–322. https://doi.org/10.1016/j.worlddev.2017.11.005

• Naseem, S. M. (2012). A review of studies on poverty in Pakistan: Origin, evolution, thematic content and future directions. Pakistan Institute of Development Economics. https://file.pide.org.pk/pdfpideresearch/book-24-a-review-of-studies-on-poverty-in-pakistan-origin-evolution-thematic-content-and-future-directions.pdf

• Naveed, A., & Ali, N. (2012). Clustered deprivation: District profile of poverty in Pakistan. Sustainable Development Policy Institute. https://sdpi.org/sdpiweb/publications/files/Clustered%20Deprivation-district%20profile%20of%20poverty%20in%20pakistan.pdf

• Padda, I. U. H., & Hameed, A. (2018). Estimating multidimensional poverty levels in rural Pakistan: A contribution to sustainable development policies. Journal of Cleaner Production, 197, 435-442. https://doi.org/10.1016/j.jclepro.2018.05.224

• Peichl, A., Pestel, N., & Schneider, H. (2011). Does size matter? The impact of changes in household structure on income distribution in Germany. Review of Income and Wealth, 58(1), 118–141. https://doi.org/10.1111/j.1475-4991.2011.00448.x

• Said, F., Musaddiq, T., & Mahmud, M. (2011). Macro level determinants of poverty: Investigation through poverty mapping of districts of Pakistan. The Pakistan Development Review, 50(4), 895–911. https://doi.org/10.30541/v50i4iipp.895-911

• Sen, A. (1987). The standard of living: Lecture II, lives and capabilities. In G. Hawthorn (Ed.), The Standard of Living (Tanner Lectures in Human Values) (pp. 20–38). Cambridge University Press. https://doi.org/10.1017/CBO9780511570742

• Shah, S., & Debnath, N. (2022). Determinants of multidimensional poverty in rural Tripura, India. Journal of Quantitative Economics, 20, 69-95. https://doi.org/10.1007/s40953-021-00256-w

• Wang, X., Feng, H., Xia, Q., and Alkire, S. (2016). On the relationship between Income Poverty and Multidimensional Poverty in China. (Working Paper No. 101). Oxford Poverty and Human Development Initiative (OPHI). http://www.ophi.org.uk/wp-content/uploads/OPHIWP101_1.pdf

• Wang, B., Luo, Q., Chen, G., Zhang, Z., & Jin, P. (2022). Differences and dynamics of multidimensional poverty in rural China from multiple perspectives analysis. Journal of Geographical Sciences, 32, 1383-1404.

• Yang, F. (2009). Consumption over the life cycle: How different is housing? Review of Economic Dynamics, 12(3), 423–443. https://doi.org/10.1016/j.red.2008.06.002

• Zeumo, V. K., Tsoukiàs, A., & Somé, B. (2014). A new methodology for multidimensional poverty measurement based on the capability approach. Socio-Economic Planning Sciences, 48(4), 273–289. https://doi.org/10.1016/j.seps.2014.04.002