Research Material For Predicting Working Poor and Total Employment in Kenya in-line with SDG Norms
Published: 19 March 2025| Version 1 | DOI: 10.17632/bm9r35sp53.1
Contributors:
, , , , Description
The dataset contains the following features: Year, Industry Type, Contribution to GDP, Growth by GDP, Employment Types, and Total Employment of Kenya. This dataset was extracted from Statistical reports published by Kenya National Bureau of Statistics reports from 2011 to 2023. Researchers utilised advanced statistical techniques, machine and deep learning algorithms to predict the current extent of working poverty in Kenya, and assist policy makers in making informed decisions for future policy formulations.
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Institutions
VIT University - Chennai Campus
Categories
Statistics, Macroeconomics, Machine Learning, Data Visualization, Deep Learning, Sustainable Development Goals