Authors

Discussion

In the early 2020s, the percentage of people over 60 has overtaken the number of children under five years old. By 2050, the World Health Organization (2022) predicts an increase from 12% to 22% in people over 60, intensifying the already acute demand for quality social systems and setting new challenges for sustainable development. The growth of the aging population worldwide places the care economy at the forefront. The paper aims to define unpaid caregivers' needs, an acute challenge almost unexamined by scholars and unapproached by public authorities in Kazakhstan. The responses of 201 unpaid caregivers from urban and rural areas were collected based on the adapted Life in Transition Survey of the World Bank. The logistic regression model was elaborated along with calculating the Chi-Square, Cramér's V, and Eta coefficients. The findings demonstrate that the caregivers' employment, education, and breadwinner's status are insignificant to the carer’s desire to place their older relatives in a daycare center. The research defined that in rural households and families with higher net income and several adult women, the inclination to send older people to daycare facilities is considerably lower compared to other household types. The elaborated Logit model allows for forecasting families' needs in institutional care services depending on the caregiver's social and demographic characteristics, and household features. State bodies in countries with familialistic care regimes, including all Central Asian countries, could apply the proposed recommendations for improving the national care policy through an individualized approach, institutional services development, and more equal household care distribution.