Mapping child vulnerability in India: where does the compass point

Authors

  • Nayan Chakravarty Athena Institute, Vrije Universiteit, Amsterdam, The Netherlands
  • Emma Emily de Wit Athena Institute, Vrije Universiteit, Amsterdam, The Netherlands
  • Barbara Regeer Athena Institute, Vrije Universiteit, Amsterdam, The Netherlands
  • Joske G. F. Bunders-Aelen Athena Institute, Vrije Universiteit, Amsterdam, The Netherlands

DOI:

https://doi.org/10.18203/2349-3291.ijcp20262403

Keywords:

Child vulnerability, Child-centred, Evidence-based policymaking, Transdisciplinary

Abstract

Background: Exposure to multiple and overlapping social and economic risks shapes children’s developmental outcomes, yet India lacks an integrated framework to systematically identify and map these vulnerabilities. This study addresses this gap by developing a multidimensional and spatially disaggregated framework for child vulnerability using a transdisciplinary research (TDR) approach.

Methods: Drawing on iterative consultations with academic experts, practitioners and policy stakeholders, an initial set of over 70 indicators across four domains, health, education, child protection and resilience, was identified and refined to 24 indicators based on relevance and data availability. These indicators were derived from eight large-scale, open-source government datasets covering all states in India and applied to generate district-level vulnerability rankings across 665 districts. Statistical analysis was undertaken using STATA Version 17.

Results: The resulting national and state-level maps reveal significant spatial heterogeneity in child vulnerability, both across- and within states, highlighting substantial intra-state disparities that are often masked by aggregate statistics. The findings demonstrate that vulnerability is unevenly distributed and closely linked to local socio-economic, infrastructural and demographic conditions.

Conclusions: The study contributes both empirically and conceptually by illustrating how multidimensional vulnerability frameworks can be operationalized under data constraints. At the same time, it highlights critical gaps in existing data systems, particularly in relation to psychosocial wellbeing, protection and empowerment. Overall, the study provides a scalable framework for mapping child vulnerability and underscores the need for more integrated, spatially disaggregated and child-centred data systems to support evidence-based policymaking in India.

References

UNICEF. The State of the World’s Children 2019: Children, Food and Nutrition. United Nations Children’s Fund. 2019.

Black MM, Walker SP, Fernald LC, Andersen CT, DiGirolamo AM, Lu C, et al. Early childhood development coming of age: science through the life course. Lancet. 2017;389(10064):77-90.

Minujin A, Delamonica E, Davidziuk A, Gonzalez ED. The definition of child poverty: a discussion of concepts and measurements. Envir Urbaniz. 2006;18(2):481-500.

Roelen K, Gassmann F. Measuring child poverty and well-being: A literature review. Maastricht Graduate School of Governance Working Paper Series No. 2008.

Sen A. Freedom. Development, Oxford University Press, Oxford. 1999.

Alkire S, Foster J. Counting and multidimensional poverty measurement. J Publ Econom. 2011;95(7-8):476-87.

Biggeri M, Libanora R, Mariani S, Menchini L. Children conceptualizing their capabilities: results of a survey conducted during the first children's world congress on child labour. J Human Dev. 2006;7(1):59-83.

Robeyns I. The capability approach: A theoretical survey. J Human Dev. 2005;6(1):93-117.

Hotez E, Perrigo JL, Morales J, Stanley L, Halfon N. Middle Years Development Instrument (MDI) Child Well-Being and Assets in a Predominantly Hispanic/Latinx Student Population. Child Indicators Res. 2026;4:1-24.

Jain R. Mapping childhood vulnerability in India: A systematic overview. Child Indicators Res. 2023;16(4):1123–42.

Gupta S, Sharma R, Patel V. Multidimensional child poverty in India: Progress and challenges. Economic & Political Week. 2021;56(15):34–42.

Aayog NI. India—National Multidimensional Poverty Index: A Progress Review (Government of India), India. 2024

Pérez-Uribe MA, Palacios P. Effects of weather shocks on multidimensional rural poverty: evidence for Colombia. Clim Dev. 2025;17(1):9-23.

Ganguly BB, Kadam NN. Understanding social determinants for children in difficult circumstances: an Indian perspective. Int J Pediat Child Heal. 2016;4(2):77-88.

Domínguez-Serrano M, Moral-Espín L, Gough I. A capability approach to child well-being measurement. Social Ind Res. 2019;142(2):615–38.

Kim R, Kumar A, Singh P. Village-level variation in child development indicators in rural India. Pop Dev Rev. 2021;47(3):579–604.

Radhakrishna R, Ravi C. Multidimensional child poverty in India: Insights from National Sample Surveys. J Pov Social Just. 2016;24(2):137–55.

Bunders JF, Broerse J, Bunders-Aelen JFG. Transdisciplinary Research in Health: Collaborative Approaches for Solving Complex Problems. Springer. 2010.

Karvonen A, Cvetkovic V, Herman P, Johansson K, Kjellström H, Molinari M. The ‘New Urban Science’: Towards the interdisciplinary and transdisciplinary pursuit of sustainable transformations. Urban Transf. 2021;3(1):9.

Roser M. Human development index (HDI). Our world in Data. 2014.

Liu S, Yang A, Horm D, Zhu M, Cai C. Developing an early childhood environmental health vulnerability index to assess cumulative health impacts across contiguous US. medRxiv. 2026;7:21-3.

Pezzulo C, Tejedor-Garavito N, Chan HM, Dreoni I. A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India. Scientific Data. 2023;10(1):86.

Singh A, Masquelier B. Continuities and changes in spatial patterns of under-five mortality at the district level in India (1991–2011). Int J Heal Geog. 2018;17(1):39.

Azam M. Accounting for growing urban-rural welfare gaps in India. World Dev. 2019;122:410-32.

Panda BK, Kumar G, Awasthi A. District level inequality in reproductive, maternal, neonatal and child health coverage in India. BMC Publ Health. 2020;20(1):58.

Das A, Ghosal J, Khuntia HK, Dixit S, Pati S, Kaur H, Ota AB, Bal M, Ranjit MR. Malnutrition and anemia among particularly vulnerable tribal groups of Odisha, India: needs for context-specific intervention. Indian J Comm Med. 2024;49(3):519-28.

Khadse RP, Chaurasia H. Nutrition status and inequality among children in different geographical regions of Maharashtra, India. Clinical Epidemiol Global Health. 2020;8(1):128–37.

Boro P. Childhood malnutrition and child marriage in Assam: Patterns and interventions. J Indian Social Res. 2025;12(1):45–62.

Singh A, Pathak PK, Chauhan RK, Pan W. Infant and child mortality in India in the last two decades: a geospatial analysis. Plos nOe. 2011;6(11):26856.

Saikia M, Mahanta R. An assessment of the nature and structure of institutions in the char areas of Assam, India. Asian Ethnicity. 2026;27(1):54-75.

Gogoi C, Das S, Senapati T, Narah U. Unravelling Assam’s Water Woes: Exploring Floods, Erosion and Disaster Governance in the Brahmaputra Valley. Indian J Publ Administr. 2025;71(2):287-302.

Smith LC, Haddad L. How potent is economic growth in reducing undernutrition? What are the pathways of impact? New cross-country evidence. Economic Dev Cultural Chan. 2002;51(1):55-76.

Baruah S. Citizens and denizens: Ethnicity, homelands, and the crisis of displacement in Northeast India. J Refugee Stud. 2003;16(1):44-66.

Alkire S, Foster J. Understandings and misunderstandings of multidimensional poverty measurement. J Econom Inequal. 2011;9(2):289-314.

Booysen F. An overview and evaluation of composite indices of development. Social Ind Res. 2002;59(2):115-51.

Ben-Arieh A. The child indicators movement: Past, present, and future. Child Indicat Res. 2008;1(1):3-16.

Mah JC, Penwarden JL, Pott H, Theou O, Andrew MK. Social vulnerability indices: a scoping review. BMC Publ Heal. 2023;23(1):1253.

World Health Organization. Handbook on health inequality monitoring: with a special focus on low-and middle-income countries. World Health Organization. 2013.

Mariani F, Ciommi M. Measuring human development: A systematic review of composite indicators. Social Indicat Res. 2022;161(3):443–73.

Ravallion M. On multidimensional indices of poverty. J Econ Inequal. 2011;9(2):235-48.

Domínguez-Serrano M, Blancas Peral FJ. A gender wellbeing composite indicator: The best-worst scaling approach. Social Indicat Res. 2019;142(2):849–73.

Christopher A, Gune S, Avula R, Nguyen PH. Coverage of nutrition and health interventions in India: Insights from the National Family Health Surveys. Intl Food Policy Res Inst. 2023;4:856.

Mahadevia G, Vikas M. International institute for population sciences (IIPS) and ICF. 2017. National family health survey (NFHS-4), 2015-16: India. Mumbai: IIPS. Int Sci J Environ Sci. 2012;21:7-15.

Gogoi P, Nath MJ. Spatial patterns and determinants of anaemia among women of reproductive age in Assam in Northeast India based on the National Family Health Survey 2019–2021. Disc Publ Heal. 2026;23(1):1142.

Das A, Ghosal J, Khuntia HK, Dixit S, Pati S, Kaur H. Malnutrition and anemia among particularly vulnerable tribal groups of Odisha, India: needs for context-specific intervention. Indian J Comm Med. 2024;49(3):519-28.

Downloads

Published

2026-07-27

How to Cite

Chakravarty, N., Wit, E. E. de, Regeer, B., & Bunders-Aelen, J. G. F. (2026). Mapping child vulnerability in India: where does the compass point. International Journal of Contemporary Pediatrics, 13(8), 1299–1309. https://doi.org/10.18203/2349-3291.ijcp20262403

Issue

Section

Original Research Articles