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An Efficient Exploratory Demographic Data Analytics Using Preprocessed Autoregressive Integrated Moving Average
9th International Conference on Frontiers in Intelligent Computing: Theory and Applications, FICTA 2021 ; 266:271-281, 2022.
Article in English | Scopus | ID: covidwho-1750604
ABSTRACT
The demographic dividend is an essential measure of the growth and development of a country. It refers to the economy’s growth due to a shift in the age structure in the country’s population. In India, around 90% of the population is under the age of 60, which is a stark contrast compared to the world, where more than 20% of the population lies above 60. Such a young population ensures that the working-age group will be vibrant in the coming years, adding to the country’s overall productivity. Today, COVID has caused much damage to an already vibrant economy, because of which millions of people have lost their jobs and have had to migrate back to their hometowns. To recover from this severe damage and take stock of the existing and incoming workforce, it is necessary to identify and analyze the current population that lies in suitable age ranges and understand how to use them optimally. Therefore, analyzing the demographic dividend to identify the workforce of the country becomes an essential task. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications, FICTA 2021 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications, FICTA 2021 Year: 2022 Document Type: Article