Python-based Population Forecasting with Standard Deviation Analysis

Abstract

Changes in the world's population are a constant problem, such as the aging crescent, declining fertility and so on. Having an accurate forecast can chart a better and more useful plan for future development. The accuracy of the python prediction is obtained by computing the standard deviation of the python prediction and the raw data. The code runs within an extremely basic set of read, judge, and compute rules. This data set has been obtained from more than 10, 000 data sets of populations between 1950 and 2021 in different age conditions and countries. Each individual age segment gets a different shift during this period, especially for segments with large historical events, so it will be a challenge to see if Python can or cannot produce accurate predictions. In the experiments, python was used to predict the future population and the standard deviation was obtained by comparing the predicted results with the source data.