Fertility, the likelihood of live births, is crucial for human existence and long-term development. In India, migration, mortality, and fertility impact population dynamics. Understanding fertility rates, trends, and differences is essential for effective political management and long-term development. The study examines fertility rates in India between 1950 and 2020 using Python programming. It explores the impact of migration, mortality, and fertility on population dynamics, predicting a potential population decline. Low birth rates can strain governmental finances and hinder economic progress, leading to increased GDP per capita.

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Evaluating Women's Fertility Rate Using Machine Learning and Statistical Tools

  • Amrita Jha,
  • Harpreet Kaur

摘要

Fertility, the likelihood of live births, is crucial for human existence and long-term development. In India, migration, mortality, and fertility impact population dynamics. Understanding fertility rates, trends, and differences is essential for effective political management and long-term development. The study examines fertility rates in India between 1950 and 2020 using Python programming. It explores the impact of migration, mortality, and fertility on population dynamics, predicting a potential population decline. Low birth rates can strain governmental finances and hinder economic progress, leading to increased GDP per capita.