Regional Disparities in the Levels and Dynamics of Child Well-Being in Russia
DOI:
https://doi.org/10.17059/ekon.reg.2026-2-9Keywords:
child well-being, statistical index of child well-being, index method, dynamics of child well-being, types of outcomes in child well-being improvements, domains of the child well-being index, regional differentiation, cluster analysis, GRP per capita, economic inequalityAbstract
The paper proposes a methodology for calculating the Statistical Index of Child Well-being, developed for Rosstat and tested with the support of the Timchenko Foundation using 2018–2022 data. Based on 27 Rosstat indicators, the index introduces a dual regional classification by domains of child well-being and by observed improvement outcomes. The aim of the study is to identify types of Russian regions according to the level and dynamics of child well-being in 2018–2022 using the integrated Child Well-being Index and its component sub-indices. Correlation analysis is conducted to examine the relationship between the Child Well-being Index (and its sub-indices) and regional socio-economic conditions, including gross regional product (GRP) per capita and income inequality. In addition, cluster analysis is applied to classify Russian regions based on child well-being indicators. The results reveal significant regional disparities in both the composite child well-being index and its sub-indices. Several stable regional groups are identified: regions with consistently high levels of child well-being, which may serve as benchmarks for effective policy practices; regions with persistently low levels; regions with a sustained decline in the index; regions demonstrating steady improvement; and regions characterized by unstable dynamics. The analysis shows that the dynamics of child well-being are associated with the level of regional economic development, with higher GRP per capita corresponding to higher index values and more favourable dynamics. Income inequality primarily affects sub-indices related to the financial well-being of families and public expenditure levels. Future research directions include identifying determinants of fluctuations in the Child Well-being Index and developing a reduced “mini-index” based on a smaller set of indicators to enable quarterly monitoring of child well-being dynamics.
References
Akram, S., & Pervaiz, Z. (2025). Assessing Inequality of Opportunities for Child Well-Being in Pakistan. Child Indicators Research, 18, 525–542. https://doi.org/10.1007/s12187-024-10205-7
Andrews, A. B., & Kaufman, N. (1999). Implementing the U. N. Convention on the Rights of the Child: A Standard of Living Adequate for Development. Westport, CT: Praeger, 280.
Bradshaw, J. (Ed.). (2016). The Well-Being of Children in the UK (4th ed.). Bristol, United Kingdom: Policy Press. 448.
Casas, F., Bello, A., González, M., & Aligué, M. (2013). Children’s Subjective Well-Being Measured Using a Composite Index: What Impacts Spanish First-Year Secondary Education Students’ Subjective Well-Being? Child Indicators Research, 6, 433–460. https://doi.org/10.1007/s12187-013-9182-x
Conti, G., & Heckman, J. J. (2012). The Economics of Child Well-Being. NBER Working Paper (No. 18466). National Bureau of Economic Research. https://doi.org/10.3386/w18466
Dijkstra, T. K. (2009). Child Well-Being in Rich Countries: UNICEF’s Ranking Revisited, and New Symmetric Aggregating Operators Exemplifed. Child Indicators Research, 2 (3), 303–317. https://doi.org/10.1007/s12187-009-9036-8
Gurko, T. A. (2021). Children’s Well-Being in Various Family Structures: A Review of Foreign Research Results. Vestnik Nizhegorodskogo Universiteta Im. N. I. Lobachevskogo. Seriya: Sotsial’nye Nauki [Vestnik of Lobachevsky State University of Nizhni Novgorod. Series: Social Sciences], (1(61)), 45–53. https://doi.org/10.52452/18115942_2021_1_45 (In Russ.)
Heshmati, A., Tausch, A., & Bajalan, C. S. J. (2008). Measurement and Analysis of Child Well-Being in Middle and High Income Countries. The European Journal of Comparative Economics, 5 (2), 187–249. https://doi.org/10.2139/ssrn.1078897
Hur, Y., & Testerman, R. (2012). An Index of Child Well-Being at a Local Level in the US: The Case of North Carolina Counties. Child Indicators Research, 5, 29–53. https://doi.org/10.1007/s12187-010-9087-x
Kalabikhina, I. E. (2016). Sotsialnoe Byudzhetirovanie: Uchebnoe Posobie [Social Budgeting: A Textbook]. Moscow: Faculty of Economics, Lomonosov Moscow State University, 128. (In Russ.)
Kalabikhina, I. E. (Ed.). (2023). Kak Izmerit Blagopoluchie Detey v Rossiyskikh Regionakh: Metodicheskie Materialy [How to Measure the Well-Being of Children in Russian Regions: Methodological Materials]. Moscow: MAKS Press, 98. https://doi.org/10.29003/m3562.978-5-317-07054-0 (In Russ.)
Kalabikhina, I. E., Kuchmaeva, O. V., Kazbekova, Z. G., & Seredkina, E. A. (2024). Integral Assessments of Child Well-Being. Voprosy Statistiki, 31 (4), 34–55. https://doi.org/10.34023/2313-6383-2024-31-4-34-55 EDN: UARRNY (In Russ.)
Kalabikhina, I. E., & Seredkina, E. A. (2022). The Cost of a Newborn Set and a First-Grader Set as Indicators of the Families with Children Material Well-Being in the Russian Regions. Uroven’ Zhizni Naseleniya Regionov Rossii [Living Standards of the Population in the Regions of Russia], 18 (1), 60–71. https://doi.org/10.19181/lsprr.2022.18.1.5 (In Russ.)
Lawler, M. J., Newland, L. A., Giger, J. T., Roh, S., & Brockevelt, B. L. (2017). Ecological, Relationship-Based Model
of Children’s Subjective Well-Being: Perspectives of 10-Year-Old Children in the United States and 10 Other Countries. Child Indicators Research, 10, 1–18. https://doi.org/10.1007/s12187-016-9376-0
Main, G. (2019). Money Matters: A Nuanced Approach to Understanding the Relationship Between Household Income and Child Subjective Well-Being. Child Indicators Research, 12, 1125–1145. https://doi.org/10.1007/s12187-018-9574-z
McKee, D., & Todd, P. E. (2011). The Longer-Term Effects of Human Capital Enrichment Programs on Poverty and Inequality. Oportunidades in Mexico. Estudios De Economia, 38 (1), 67–100. https://doi.org/10.4067/s0718-52862011000100004
Moore, K. A. (2020). Developing an Indicator System to Measure Child Well-Being: Lessons Learned Over Time. Child Indicators Research, 13, 729–739. https://doi.org/10.1007/s12187-019-09644-4
Moore, K. A., Murphey, D., Bandy, T., & Lawner, E. (2014). Indices of Child Well-Being and Developmental Contexts.
In A. Ben-Arieh, F. Casas, I. Frønes, & J. E. Korbin (Eds.), Handbook of Child Well-Being (pp. 2807–2825). Dordrecht: Springer. https://doi.org/10.1007/978-90-481-9063-8_139
Navidmanesh, S., Kadkhodaee, M., Ghadirinokabadi, L., & Emamifar, A. (2025). Resolving Conceptual and Practical Gaps in Current Child Well-Being Models Through the Holistic Well-Being Model for Children. Discover Psychology, 5, 52. https://doi.org/10.1007/s44202-025-00382-z
Natsun, L. N. (2022). Differentiation of the Formation Children’s Human Potential Depending on the Income Level of Families. Vestnik Nizhegorodskogo Universiteta Im. N. I. Lobachevskogo. Seriya: Sotsial’nye Nauki [Vestnik of Lobachevsky State University of Nizhni Novgorod. Series: Social Sciences], (4(68)), 126–134. https://doi.org/10.52452/18115942_2022_4_125 (In Russ.)
Newland, L. A., Lawler, M. J., Giger, J. T., Roh, S., & Carr, E. R. (2015). Predictors of Children’s Subjective Well-Being in Rural Communities of the United States. Child Indicators Research, 8 (1), 177–198. https://doi.org/10.1007/s12187-014-9287-x
O’Hare, W. P., Mather, M., Dupuis, G., Land, K. C., Lamb, V. L., & Fu, Q. (2013). Analyzing Differences in Child Well-Being Among U.S. States. Child Indicators Research, 6, 401–431. https://doi.org/10.1007/s12187-012-9173-3
Prada, A., & Sánchez-Fernández, P. (2021). World Child Well-Being Index: A Multidimensional Perspective. Child Indicators Research, 14 (6), 2119–2144. https://doi.org/10.1007/s12187-021-09848-7
Rees, G. (2017). Children’s Views on Their Lives and Well-Being: Findings from the Children’s Worlds Project (Children’s Well-Being: Indicators and Research, Vol. 18). Cham: Springer International Publishing, 184. https://doi.org/10.1007/978-3-319-65196-5
Richardson, D., & Ali, N. (2014). An Evaluation of International Surveys of Children. OECD Social, Employment and Migration Working Papers (No. 146). Paris: OECD Publishing. https://doi.org/10.1787/5jxzmjrqvntf-en
Vaynshtok, A. P., Yurkov, E. F., Yudina, T. N., & Yakuba, V. I. (2021). Estimation of the Child Well-Being Index in the Administrative Subjects of the Russian Federation Based on the Threshold Aggregation Model. Informatsionnye Protsessy [Information Processes], 21 (1), 40–49. https://doi.org/10.53921/18195822_2021_21_1_40 (In Russ.)
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Copyright (c) 2026 Калабихина Ирина Евгеньевна , Кучмаева Оксана Викторовна , Казбекова Зарина Германовна
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