Fertility Measures and Mathematical Modeling Predicts of Population Trends in Germany

Sridhar Akiri, Sri Sai Swetha, Aravind Battu
Page No: 15-23
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This study examines fertility and population estimation measures. The process through which the age distribution of a population adapts to alterations in living conditions is known as "demographic transformation." Consequently, socioeconomic developments result in a significant shift in the age distribution of a society. Fertility is one of the primary variables determining the natural increase of a specific geographical location; we quantify it as "Fertility Measures." The study of fertility rates tries to estimate the magnitude of future population growth so that requirements can be met accordingly. The population estimates of a country are essential for selecting the proper socio-economic and demographic development strategies. Consequently, population estimates lead to population projections for the region under investigation. The most recent dataset of Germany for the year 2021 is evaluated with all necessary parameters to compute basic fertility measures, and population projections are based on the total population of each country. Accordingly, inferences are made that fertility rates in Germany will increase from 1.53 to 1.57 by 2021. Population projections for the year 2025 are calculated using the population growth models.

Citations

APA: Sridhar Akiri, Sri Sai Swetha, Aravind Battu (2025). Fertility Measures and Mathematical Modeling Predicts of Population Trends in Germany. DOI: 10.86493/VEREDAS.2024/V14I6/03

AMA: Sridhar Akiri, Sri Sai Swetha, Aravind Battu. Fertility Measures and Mathematical Modeling Predicts of Population Trends in Germany. 2025. DOI: 10.86493/VEREDAS.2024/V14I6/03

Chicago: Sridhar Akiri, Sri Sai Swetha, Aravind Battu. "Fertility Measures and Mathematical Modeling Predicts of Population Trends in Germany." Published 2025. DOI: 10.86493/VEREDAS.2024/V14I6/03

IEEE: Sridhar Akiri, Sri Sai Swetha, Aravind Battu, "Fertility Measures and Mathematical Modeling Predicts of Population Trends in Germany," 2025, DOI: 10.86493/VEREDAS.2024/V14I6/03

ISNAD: Sridhar Akiri, Sri Sai Swetha, Aravind Battu. "Fertility Measures and Mathematical Modeling Predicts of Population Trends in Germany." DOI: 10.86493/VEREDAS.2024/V14I6/03

MLA: Sridhar Akiri, Sri Sai Swetha, Aravind Battu. "Fertility Measures and Mathematical Modeling Predicts of Population Trends in Germany." 2025, DOI: 10.86493/VEREDAS.2024/V14I6/03