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Population Figures of Uttar Pradesh: Estimates in the Absence of Census 2011
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- Population Figures of Uttar Pradesh: Estimates in the Absence of Census 2011
Abstract Content (not more than 300 word, should include: Introduction, Objective, Methodology, critical findings & Conclusion):
Accurate population estimates are vital for effective development planning and program implementation, requiring continuous monitoring. The absence of Census 2021 data has left a void in reliable demographic indicators, such as population size, growth rate, density, age-sex structure, sex ratios, and the distribution of religion and caste at state and district levels.
Our study draws from diverse data sources, including the Census of India, Sample Registration System, Civil Registration System, National Family Health Surveys, and Geographic Information Systems. Using cohort component methods and robust mathematical models, we conducted a comprehensive analysis to refine the base population, project fertility and mortality indicators, and derive dependable demographic insights. GIS techniques were systematically employed to estimate district-level populations for 2021 and 2026, integrating spatial data for accurate and geographically specific estimates. The estimated population was meticulously disaggregated by residence, age, sex, religion, and caste, with insights refined using National Family Health Survey data.
In 2021, Uttar Pradesh's population reached 22.7 crore, with Allahabad as the most populous district and Morba having the lowest population. The urban population constituted 23.9%, with a median age of 24.8 years, a dependency ratio of 619, and a sex ratio of 920. Projections for 2021-2026 anticipate a 1% annual growth rate, with the Total Fertility Rate falling below replacement levels. Life expectancy is expected to increase to 69.8 years for males and 69.0 years for females. The religious composition reveals 82.8% Hindus, 16.7% Muslims, 26.0% Scheduled Castes, 2% Scheduled Tribes, and 50.4% Other Backward Classes.
In conclusion, Our study provides invaluable age-sex-specific population estimates at the district level, serving as a crucial resource for computing development indicators and facilitating the design, monitoring, and evaluation.
Abstract theme:
In case of not been selected for oral presentation, do you want to be considered for the poster presentation ?:
Yes
Do you require financial support to attend the seminar ? (Not applicable for virtual meet):
Yes-full
Gender:
Male
Evaluation Status:
No