Statistical Study of Natural population change in the Republic of Uzbekistan

Durdona B. Begalova, Postgraduate Student. Institute for Staff Advanced Training and Statistical Research, National Committee of the Republic of Uzbekistan on Statistics

Abstract

The article presents a comprehensive analysis of natural population dynamics in the Republic of Uzbekistan. The analysis is based on a statistical approach and examines the dynamics of fertility, mortality, and natural increase, as well as the main factors influencing demographic development. The transformation trends of demographic processes in the country are assessed and patterns of change in fertility and mortality rates are clarified using the statistical data for the 1991–2024 period. The methods employed include demographic statistical analysis, comparative analysis, grouping, and time series analysis. The results demonstrate that the birth rate in the country remains relatively high, while mortality rates are gradually declining thanks to improvements in the healthcare system and the development of social infrastructure. Significant regional differences in fertility rates and demographic processes have been revealed, with women in the 20 to 29 age group accounting for the majority of births. Furthermore, an analysis of the structure of mortality rates has revealed a close relationship between demographic processes and epidemiological factors. The findings confirm sustainable improvement in demographic processes in the Republic of Uzbekistan and present scientific and practical significance for further improvement of demographic policy, building future workforce, and planning social infrastructure in accordance with demographic forecasts.

Keywords: natural population change; demographic processes; birth rate; death rate; natural increase; age-sex pyramid; demographic stability; demographic policy

For citation: Begalova D. B. Statistical study of natural population change in the Republic of Uzbekistan. Digital Models and Solutions. 2026. Vol. 5, no. 3, pp. 63–79. DOI: 10.29141/2949- 477X-2026-5-3-5. EDN: AHHFFT.

Save Issue