A data visualization approach for predicting the income class of the population

India's population is currently second-highest and still growing every year. This leads to a huge concern, including the number of job opportunities, poverty, health, and economics of the nation being the significant factors to be considered. Governments in various regions have been putting in their best efforts to resolve these problems and provide a feasible solution. In this paper, the growing population in Uttarakhand and its impact on natural resources are analyzed and the trends of poverty, unemployment, and growth in the state are evaluated using a machine learning and data visualization approach. The quantitative evaluations on the association between education, income inequality, and mortality are provided by analyzing these aspects. A resource is any earth's utility that people require, and its requirement changes with time. Hence, studying the resources and their usage will enhance the economy and convert non-productivity to productivity, leading to the maintenance of a balanced and stable economy. In this paper, the Gradient Boosting Classifier Model is used that measures the highest accuracy of 85.78%, compared to the accuracy of existing works taking the census data (2011) from censusindia.gov.in/.